{"catalog":[{"id":"1780442232110001cXAr","hash":"8d6d7f4c491e5e3b186d4d6405a5d739","shortId":"ANT319-R","title":"10 tips for querying Apache Iceberg data with Amazon Redshift","abstract":"Learn practical strategies for working with Apache Iceberg on Amazon Redshift - from schema design and file sizing to partition pruning, compaction, sort order optimization, predicate pushdown, materialized views, and metadata management. 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To create value at scale, companies need a foundation that helps them build and modernize applications faster, orchestration across systems and workflows, governed execution, and control over the infrastructure, performance and cost behind them.​ Join IBM and industry leaders to discover what’s new from IBM on AWS. Hear real-world lessons and measurable business outcomes while exploring the four foundations organizations need to move from disconnected agents to secure, governed, enterprise-wide execution.​ This presentation is brought to you by IBM, an AWS Partner.","startDateTime":"2026-12-01T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-01T19:30:00.000Z","endDateTime":"2026-12-01T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790034533597001pyF0","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1758658901884001EYkl_17746331reinvent2026","displayName":"Neel Sundaresan","name":"Neel Sundaresan","firstName":"Neel","lastName":"Sundaresan","company":"IBM"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Purple Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780441482522001GpXn","hash":"db9bd37198794931c28d869f84d16fc0","shortId":"AIM232-S","title":"4 primitives for an AI SRE that runs on-call and improves reliability","abstract":"Why should engineers still be on call? Agents you trust should take the pages, close them autonomously, drive incidents to resolution, and even fix the underlying issues behind them. Trusting agents on this critical path for production reliability comes down to four primitives: does it know production better than any single tool or team, does it deliver frontier SRE quality, can it be trusted to act on your behalf, and do the costs stay in check. Steven Karis, Chief Architect at ResolveAI, shows how each primitive shapes an SRE agent that owns on-call and improves reliability autonomously. Engineering leaders from Figma and Autodesk join him to walk through how their teams are using agents to run on-call and drive reliability.","startDateTime":"2026-12-03T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-03T22:30:00.000Z","endDateTime":"2026-12-03T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790034531593001poZB","lastModified":"2026-11-06T15:59:16Z","speakers":[{"id":"1762282065474001atTv_17746331reinvent2026","displayName":"Steven Karis","name":"Steven Karis","firstName":"Steven","lastName":"Karis","company":"Resolve AI (clouddatalabs.io)"},{"id":"1755549615580001KY7A_17746331reinvent2026","displayName":"Varun Krovvidi","name":"Varun Krovvidi","firstName":"Varun","lastName":"Krovvidi","company":"Resolve AI"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Red Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"AWS DevOps Agent"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780441468119001GzNf","hash":"86767fb81ffaa7f07299f2224f354270","shortId":"CMP309","title":"50k daily iOS builds with virtualization on Amazon EC2 Mac","abstract":"A leading automotive manufacturer migrated its CI/CD infrastructure from on-premises to AWS to support over 130,000 daily builds (50k + iOS) across 1,300+ microservices. To accelerate iOS mobile app development, the team adopted Amazon EC2 Mac instances with virtualization using OpenAI Tart virtualization toolset, enabling ephemeral macOS VMs that boot in seconds with pre-configured toolchains. This approach reduced average build times from 90 to 35 minutes, a 61% improvement, while eliminating hardware management overhead. The platform now scales to 50,000+ daily iOS builds, serving 3,000+ developers with cost-optimized, reliable, and secure pipelines across hundreds of AWS accounts worldwide.","startDateTime":"2026-12-02T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-02T18:30:00.000Z","endDateTime":"2026-12-02T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025517031001C4W4","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1733955744644001x7A7_17746331reinvent2026","displayName":"Kyle Krall","name":"Kyle Krall","firstName":"Kyle","lastName":"Krall","company":"Amazon Web Services"},{"id":"1790179714306001mce5_17746331reinvent2026","displayName":"Francisco Costa","name":"Francisco Costa","firstName":"Francisco","lastName":"Costa","company":"Critical Techworks, SA"},{"id":"1790179714163001mH04_17746331reinvent2026","displayName":"Jonas França","name":"Jonas França","firstName":"Jonas","lastName":"França","company":"Critical Techworks"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"}],"topics":[{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780442260133001csIx","hash":"1e16687c9cdb86643138368f144c4cea","shortId":"CON341","title":"5 Amazon ECS features that prevent common production incidents ","abstract":"Five configuration mistakes cause the majority of Amazon ECS production incidents. All five are fixable in under a minute. AZ spread off means one zone failure takes your service down. Short health check grace periods kill containers that are still starting. Disabled circuit breakers let bad deploys roll forward across every task. Default dependency timeouts turn one slow call into a cascading outage. Placement constraints pack tasks onto too few hosts. In this lightning talk, see the incident each feature prevents, the specific attribute to verify, and the fix. Leave with a production-readiness checklist your team can use before every release.","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T16:50:00.000Z","endTime":"08:50","sessionTimeId":"1790033110799001q2Nw","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1731630913954001ncdz_17746331reinvent2026","displayName":"David Ugarte","name":"David Ugarte","firstName":"David","lastName":"Ugarte","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Container Service (Amazon ECS)"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Disaster Response & Recovery"},{"id":"AreaofInterest","displayName":"Resilience"},{"id":"AreaofInterest","displayName":"Well-Architected Framework"}],"industry":[],"role":[{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1780442271633001cSa1","hash":"b1edca896e14dc2fcf208b738d7ab477","shortId":"COP350-S","title":"5 Questions Terraform, OpenTofu, and CloudFormation Can't Answer (sponsored by Spacelift, Inc.)","abstract":"Every infrastructure change is one run: code, an engine, a plan, an apply. That run is still a wall of unstructured log text, and the questions about your estate go unanswered. Five to ask of your IaC: Did Terraform, OpenTofu, CloudFormation, Kubernetes, or Ansible run it, and does it matter? Where does the time go, and can OpenTelemetry tracing show you? What happens outside the engine: providers, state, policy-as-code, drift, queue time? What about unmanaged resources, the half of your AWS account no run ever touched? Who gets self-service, and can an AI agent be trusted with an apply? This presentation is brought to you by Spacelift, Inc., an AWS Partner.","startDateTime":"2026-12-03T01:30:00.000Z","startTime":"17:30","startTimeFormatted":"2026-12-03T01:30:00.000Z","endDateTime":"2026-12-03T01:50:00.000Z","endTime":"17:50","sessionTimeId":"1790033125348001q9EK","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1786560589491001NopH_17746331reinvent2026","displayName":"Jonah Kowall","name":"Jonah Kowall","firstName":"Jonah","lastName":"Kowall","company":"Spacelift"}],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780441478690001G7ck","hash":"010a45c1f1e2374d2c8035a03b6f2576","shortId":"MAM327","title":"5 steps to faster data center exits with AWS Transform","abstract":"70% of applications still sit on-premises, and the longer they stay, the more tech debt compounds. AWS Transform uses agentic AI to compress the entire data center exit journey from assessment through execution. Start with AI-powered discovery that right-sizes thousands of servers, compares cost scenarios, and builds a business case that gets executive buy-in in days. Move into automated wave planning and landing zone deployment. Then see how network architectures convert into production-ready VPCs and workloads rehost to Amazon EC2 at scale. We follow one customer's real timeline from plan to exit and unpack what made it work.","startDateTime":"2026-12-01T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-01T19:30:00.000Z","endDateTime":"2026-12-01T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025500723001CmsV","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1724860301577001h88c_17746331reinvent2026","displayName":"Jonathan Shapiro-Ward","name":"Jonathan Shapiro-Ward","firstName":"Jonathan","lastName":"Shapiro-Ward","company":"AWS"},{"id":"1725552758030001zB0P_17746331reinvent2026","displayName":"Ahuva Hazan-Fuchs","name":"Ahuva Hazan-Fuchs","firstName":"Ahuva","lastName":"Hazan-Fuchs","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Transform"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"VMware"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780442270680001csK4","hash":"10327832f4129c0db286db927f06f3c9","shortId":"HMC206-S","title":"Absorbing AI costs? Stop paying for idle GPUs on Amazon EKS","abstract":"AI workloads can consume millions of dollars in infrastructure before anyone notices whether they're being used efficiently. GPUs sit idle, clusters become overprovisioned, and engineering teams struggle to balance performance with rapidly growing costs. In this session, learn how engineering teams running Amazon EKS can identify wasted GPU capacity, understand the true cost of AI workloads, and automate optimization without sacrificing application performance. We'll share practical techniques to improve utilization, reduce waste, and optimize AI infrastructure at scale. This presentation is brought to you by Cloudability, an AWS Partner.","startDateTime":"2026-12-02T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-02T00:30:00.000Z","endDateTime":"2026-12-02T00:50:00.000Z","endTime":"16:50","sessionTimeId":"1790033124282001qmqq","lastModified":"2026-11-05T22:04:54Z","speakers":[{"id":"1726231091601001QN70_17746331reinvent2026","displayName":"Andrew Midgley","name":"Andrew Midgley","firstName":"Andrew","lastName":"Midgley","company":"IBM"},{"id":"1756924948511001dMhZ_17746331reinvent2026","displayName":"Joe Dahlquist","name":"Joe Dahlquist","firstName":"Joe","lastName":"Dahlquist","company":"IBM"}],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Elastic Container Service (Amazon ECS)"},{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"Red Hat OpenShift Service on AWS (ROSA)"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"DevOps"},{"id":"AreaofInterest","displayName":"Kubernetes"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780441461294001GVt3","hash":"e0696a0cfc73c2d90f3448bfc9fcb492","shortId":"ANT303","title":"Accelerate analytics and AI with an open lakehouse architecture on Apache Iceberg","abstract":"\nStop choosing between your data lake and data warehouse.  Join this session to explore how to build a  unified, open, and secure data lakehouse architecture, on Apache Iceberg. Learn how the lakehouse breaks down data  silos and opens your data estate offering flexibility to use your preferred  query engines and tools that accelerate time to insights. Learn about recent  launches that improve data interoperability and performance, and enable large  language models (LLMs) and AI agents to interact with your data. Discover  robust security features, including consistent fine-grained access controls, attribute-based access control, and tag-based access control that help  democratize data without compromises.","startDateTime":"2026-12-03T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-03T21:30:00.000Z","endDateTime":"2026-12-03T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025544551001Cmrx","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725910656706001oVqi_17746331reinvent2026","displayName":"Brian Mitchell","name":"Brian Mitchell","firstName":"Brian","lastName":"Mitchell","company":"AWS"},{"id":"1728065949609001s7z6_17746331reinvent2026","displayName":"Shruti Worlikar","name":"Shruti Worlikar","firstName":"Shruti","lastName":"Worlikar","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"},{"id":"Services","displayName":"AWS Glue"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1788568014278001At0w","hash":"63874d63380b0f9e7977de76ec7d7999","shortId":"AIM3312","title":"Accelerate analytics with GPUs at lower cost: Spark, DuckDB, and more","abstract":"Feature engineering, ETL, and interactive analytics for AI push CPU-based clusters to their limits. In this session, learn how Amazon EMR with the NVIDIA cuDF Plugin for Apache Spark runs workloads up to 3.7x faster on Amazon EC2 G7 instances with no code changes. The session also covers DuckDB on GPU, presents benchmarks and tuning patterns, and shows how faster jobs lower cost per run, even at a higher hourly rate.","startDateTime":"2026-12-02T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-02T18:30:00.000Z","endDateTime":"2026-12-02T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1791209380608001Zbmw","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725566544199001SkNm_17746331reinvent2026","displayName":"Karthik Prabhakar","name":"Karthik Prabhakar","firstName":"Karthik","lastName":"Prabhakar","company":"Amazon Web Services"},{"id":"1791149174809001d0Ch_17746331reinvent2026","displayName":"Vidish Mehta","name":"Vidish Mehta","firstName":"Vidish","lastName":"Mehta","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | White Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"Amazon EMR"}],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[],"seatCapacity":148},{"id":"1780441468664001G2oI","hash":"cc775a7514f027e61d671a600d3cebe3","shortId":"CON329","title":"Accelerate application development with Amazon ECS Express Mode","abstract":"What if deploying a containerized application on Amazon ECS required just your code and a few configuration choices? Amazon ECS Express Mode makes that possible by handling observability, networking, and security out of the box. In this session, learn how Express Mode accelerates development for individual developers and platform teams without sacrificing control. Discover practical techniques to optimize your workflows, enhance reliability, and reduce operational overhead. Leave with actionable strategies to increase development velocity using the latest Amazon ECS innovations.","startDateTime":"2026-12-03T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-03T00:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025527552001CBRE","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1789745604562001wiJz_17746331reinvent2026","displayName":"Mike Brandin","name":"Mike Brandin","firstName":"Mike","lastName":"Brandin","company":"Meta"},{"id":"1758905070264001Jckk_17746331reinvent2026","displayName":"Jay Russo","name":"Jay Russo","firstName":"Jay","lastName":"Russo","company":"Amazon Web Services"},{"id":"1725408350163001u2rA_17746331reinvent2026","displayName":"Mike Rizzo","name":"Mike Rizzo","firstName":"Mike","lastName":"Rizzo","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"}],"topics":[{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Entrepreneur (Founder/Co-Founder)"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1790358244996001iftL","hash":"9fe459550fbca74060f6972d02937591","shortId":"STG357-R1","title":"Accelerate database protection and testing with EBS Snapshots and clones","abstract":"Teams that rely on backups alone risk slow dev cycles, compliance gaps, and prolonged recovery times. Learn how Amazon EBS Snapshots and Volume Clones solve these challenges together. See how Snapshots deliver incremental, cross-region data protection with automated lifecycle policies for compliance, while Volume Clones create instant local copies for development and testing. We'll compare cost, performance, and architectural tradeoffs. You'll leave with a decision framework for when to snapshot, when to clone, and how to combine both in production architectures. ","startDateTime":"2026-12-02T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-02T00:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790360377040001AyiP","lastModified":"2026-11-02T15:02:52Z","speakers":[{"id":"1784659215851001MxZW_17746331reinvent2026","displayName":"Shibin Michaelraj","name":"Shibin Michaelraj","firstName":"Shibin","lastName":"Michaelraj","company":"Amazon Web Services"},{"id":"1725408465098001uaJx_17746331reinvent2026","displayName":"Santhosh Arunuri","name":"Santhosh Arunuri","firstName":"Santhosh","lastName":"Arunuri","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Block Store (Amazon EBS)"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Data Protection"},{"id":"AreaofInterest","displayName":"Resilience"},{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":94,"repeats":[{"id":"1780442252450001cXst","shortId":"STG357-R","startDateTime":"2026-11-30T22:30:00.000Z","endDateTime":"2026-11-30T23:30:00.000Z","startTime":"14:30","endTime":"15:30","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442252450001cXst","hash":"e1650b54d025b17514214c7a201ab1ed","shortId":"STG357-R","title":"Accelerate database protection and testing with EBS Snapshots and clones","abstract":"Teams that rely on backups alone risk slow dev cycles, compliance gaps, and prolonged recovery times. 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Leave with a reference architecture for where inference, orchestration, and privacy all work together.","startDateTime":"2026-12-03T01:30:00.000Z","startTime":"17:30","startTimeFormatted":"2026-12-03T01:30:00.000Z","endDateTime":"2026-12-03T01:50:00.000Z","endTime":"17:50","sessionTimeId":"1791219554094001ZdBk","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408462678001uWTA_17746331reinvent2026","displayName":"Ryan Malecky","name":"Ryan Malecky","firstName":"Ryan","lastName":"Malecky","company":"Amazon Web Services"},{"id":"1726768555849001WPgH_17746331reinvent2026","displayName":"Zelle Steyn","name":"Zelle Steyn","firstName":"Zelle","lastName":"Steyn","company":"Amazon Web Services"}],"venueRoomName":"Level 2 | Hall B | Expo | Industry Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Advertising & Marketing"}],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442268608001cY23","hash":"529c648c5ae3c2595d08f1c9d26c66f3","shortId":"AIM115-S","title":"Agentic AI Control Plane on AWS: govern agents at enterprise scale (sponsored by Tata Consultancy Services)","abstract":"Enterprises are moving from a handful of agents to hundreds. Without a shared layer for identity, policy, orchestration, and observability, that growth stalls. In this 20-minute launch session, we introduce the Agentic AI Control Plane on AWS: a governed foundation for building, deploying, and running agents across business and IT workflows. See how it handles agent onboarding, guardrails, cost and performance visibility, and human oversight, with a live look at the platform. Built for CIOs, data and AI leaders, and platform and risk teams who need agent fleets to scale safely, with the controls their auditors expect. This presentation is brought to you by Tata Consultancy Services, an AWS Partner.","startDateTime":"2026-12-02T22:00:00.000Z","startTime":"14:00","startTimeFormatted":"2026-12-02T22:00:00.000Z","endDateTime":"2026-12-02T22:20:00.000Z","endTime":"14:20","sessionTimeId":"1790033124842001q5rp","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Nova"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Responsible AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442280796001cRdE","hash":"40e36467fa631ecd100d074673d8cafa","shortId":"IND402-R","title":"Agentic AI for manufacturing: Build a cross-domain digital thread","abstract":"Manufacturing data lives in silos — from engineering systems through production lines. In this workshop, build an agentic digital thread: a knowledge-graph-powered AI system that unifies OT and IT data across the product lifecycle and answers cross-domain questions in real time. Using Amazon Neptune, Amazon Bedrock AgentCore, and AWS IoT SiteWise, deploy agents that autonomously traverse connections from product design through production operations — linking engineering changes to equipment assets to quality events — without point-to-point integrations. Leave with a deployable reference architecture adaptable to any manufacturing environment.","startDateTime":"2026-11-30T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790033112006001qeRa","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726284971143001eefg_17746331reinvent2026","displayName":"Scott Robertson","name":"Scott Robertson","firstName":"Scott","lastName":"Robertson","company":"Amazon Web Services"},{"id":"1738081887416001JrKl_17746331reinvent2026","displayName":"Brian Anderson","name":"Brian Anderson","firstName":"Brian","lastName":"Anderson","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Business Intelligence"},{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Manufacturing & Industrial"}],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140,"repeats":[{"id":"1790358241833001i7rN","shortId":"IND402-R1","startDateTime":"2026-12-01T20:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","startTime":"12:30","endTime":"14:30","day":"Tuesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358241833001i7rN","hash":"f3cb7aba5f1cc84674517d5f843c8d63","shortId":"IND402-R1","title":"Agentic AI for manufacturing: Build a cross-domain digital thread","abstract":"Manufacturing data lives in silos — from engineering systems through production lines. 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Learn how AWS CIRT built an agentic AI system using Amazon Kiro that performs investigation workflows autonomously: ingesting case data, baselining environments, analyzing indicators, and producing triage assessments. We cover architecture decisions for AI agents with live AWS API access, evaluation frameworks measuring accuracy against expert answer keys, and guardrails keeping humans in the loop. 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In this workshop, experience how agentic AI transforms the embedded software V-Cycle — compressing timelines from weeks to hours without sacrificing quality or traceability. 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In this immersive executive tabletop, participants allocate a constrained governance budget, then respond to live crisis events scored across six dimensions. Practice navigating high-stakes scenarios including autonomous AI deployment failures, third-party security incidents, and emerging regulatory obligations. Confront real attack techniques, compliance frameworks, and enterprise liability exposure while aligning cross-functional teams under pressure. This experience sharpens governance instincts and crisis fluency—equipping leaders to govern Agentic AI risks, enforce accountability, and make decisive resource allocation calls before a real crisis demands it. Walk-ins welcome.","startDateTime":"2026-12-03T20:30:00.000Z","startTime":"12:30","startTimeFormatted":"2026-12-03T20:30:00.000Z","endDateTime":"2026-12-03T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1791311669506001TjM9","lastModified":"2026-11-04T22:12:22Z","speakers":[],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Gamified learning"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Entrepreneur (Founder/Co-Founder)"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":70,"repeats":[{"id":"1785256472325001dIu1","shortId":"GHJ207-R","startDateTime":"2026-11-30T20:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","startTime":"12:30","endTime":"14:30","day":"Monday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}},{"id":"1785256472386001dAeH","shortId":"GHJ207-R1","startDateTime":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T18:30:00.000Z","startTime":"08:30","endTime":"10:30","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442246204001cVyF","hash":"310c3bf44b0274073512cdd96f766210","shortId":"IND377-R","title":"Agentic AI in Production: Natera Saves Lives, Cuts Costs, Grows Revenue","abstract":"Natera, a global leader in cell-free DNA testing for oncology, women's health, and organ health, built reusable agentic infrastructure on Amazon Bedrock and Amazon Bedrock AgentCore to power multiple internal platforms from a single framework. Natera's VP of Engineering will share the technical decisions behind this infrastructure and provides a blueprint for building once and scaling across your organization. See a live demo of one platform built on this foundation for revenue cycle management, cutting prior-authorization denial rates 6x, reducing touchpoints by 5x, and enabling new use cases to go live in less than a week. ","startDateTime":"2026-12-02T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-02T00:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025488996001Cnyv","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1722377160903001aNKk_17746331reinvent2026","displayName":"Mirko Buholzer","name":"Mirko Buholzer","firstName":"Mirko","lastName":"Buholzer","company":"Natera, Inc."},{"id":"1738878493067001wPY6_17746331reinvent2026","displayName":"Tamara Gagliardi","name":"Tamara Gagliardi","firstName":"Tamara","lastName":"Gagliardi","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Healthcare & Life Sciences"}],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1790358248474001ibYK","shortId":"IND377-R1","startDateTime":"2026-12-01T21:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","startTime":"13:00","endTime":"14:00","day":"Tuesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358248474001ibYK","hash":"3e7b4f9cf16d93e186176175c4240d2c","shortId":"IND377-R1","title":"Agentic AI in Production: Natera Saves Lives, Cuts Costs, Grows Revenue","abstract":"Natera, a global leader in cell-free DNA testing for oncology, women's health, and organ health, built reusable agentic infrastructure on Amazon Bedrock and Amazon Bedrock AgentCore to power multiple internal platforms from a single framework. Natera's VP of Engineering will share the technical decisions behind this infrastructure and provides a blueprint for building once and scaling across your organization. See a live demo of one platform built on this foundation for revenue cycle management, cutting prior-authorization denial rates 6x, reducing touchpoints by 5x, and enabling new use cases to go live in less than a week. ","startDateTime":"2026-12-01T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-01T21:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1791228922718001omou","lastModified":"2026-11-05T02:53:14Z","speakers":[{"id":"1738878493067001wPY6_17746331reinvent2026","displayName":"Tamara Gagliardi","name":"Tamara Gagliardi","firstName":"Tamara","lastName":"Gagliardi","company":"Amazon Web Services"},{"id":"1722377160903001aNKk_17746331reinvent2026","displayName":"Mirko Buholzer","name":"Mirko Buholzer","firstName":"Mirko","lastName":"Buholzer","company":"Natera, Inc."}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Healthcare & Life Sciences"}],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":75,"repeats":[{"id":"1780442246204001cVyF","shortId":"IND377-R","startDateTime":"2026-12-02T00:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","startTime":"16:00","endTime":"17:00","day":"Tuesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780441504229001Gmvx","hash":"2d2d102c47c2010abe07f0dd055052cb","shortId":"GHJ308-S-R","title":"Agentic AI Jam - sponsored by Nvidia","abstract":"Come with your team of 2 or join one on the spot. Compete head-to-head, race the leaderboard, and win prizes. Solve real-world Gen AI and Agentic AI scenarios using Amazon Bedrock, SageMaker AI & Kiro - including a sponsored challenge from NVIDIA to build and optimize GenAI workloads using NVIDIA's accelerated computing and AI inference stack on AWS. Challenges suit all skill levels, with AWS experts and helpful clues throughout. All you need: a laptop, curiosity, and a competitive spirit.","startDateTime":"2026-11-30T22:00:00.000Z","startTime":"14:00","startTimeFormatted":"2026-11-30T22:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790015012967001orSD","lastModified":"2026-11-04T08:24:45Z","speakers":[{"id":"1746576198104001rEJc_17746331reinvent2026","displayName":"Nir Pilo","name":"Nir Pilo","firstName":"Nir","lastName":"Pilo","company":"AWS"},{"id":"1726672915954001Nivw_17746331reinvent2026","displayName":"Varad Ram","name":"Varad Ram","firstName":"Varad","lastName":"Ram","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Gamified learning"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Kiro"},{"id":"Services","displayName":"Amazon Quick"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Hands-on"}],"seatCapacity":176,"repeats":[{"id":"1780442258762001cLQZ","shortId":"GHJ308-S-R1","startDateTime":"2026-12-02T17:00:00.000Z","endDateTime":"2026-12-02T20:00:00.000Z","startTime":"09:00","endTime":"12:00","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442258762001cLQZ","hash":"318013d4ab45470042959c4fffdedc75","shortId":"GHJ308-S-R1","title":"Agentic AI Jam - sponsored by Nvidia","abstract":"Come with your team of 2 or join one on the spot. Compete head-to-head, race the leaderboard, and win prizes. Solve real-world Gen AI and Agentic AI scenarios using Amazon Bedrock, SageMaker AI & Kiro - including a sponsored challenge from NVIDIA to build and optimize GenAI workloads using NVIDIA's accelerated computing and AI inference stack on AWS. Challenges suit all skill levels, with AWS experts and helpful clues throughout. All you need: a laptop, curiosity, and a competitive spirit.","startDateTime":"2026-12-02T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-02T17:00:00.000Z","endDateTime":"2026-12-02T20:00:00.000Z","endTime":"12:00","sessionTimeId":"1790020732141001fwfN","lastModified":"2026-11-03T22:06:21Z","speakers":[{"id":"1746576198104001rEJc_17746331reinvent2026","displayName":"Nir Pilo","name":"Nir Pilo","firstName":"Nir","lastName":"Pilo","company":"AWS"},{"id":"1726672915954001Nivw_17746331reinvent2026","displayName":"Varad Ram","name":"Varad Ram","firstName":"Varad","lastName":"Ram","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Gamified learning"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Kiro"},{"id":"Services","displayName":"Amazon Quick"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":176,"repeats":[{"id":"1780441504229001Gmvx","shortId":"GHJ308-S-R","startDateTime":"2026-11-30T22:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","startTime":"14:00","endTime":"17:00","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442268493001c9Yr","hash":"e00c70fb20d2daeb6015e45e780ba1f9","shortId":"SEC219-S","title":"Agentic AI meets critical infrastructure at UGI (sponsored by IBM)","abstract":"Agentic AI can transform how utilities serve customers, manage infrastructure and respond to operational events. Join IBM Consulting and industry leaders to see how organizations are putting agentic AI to work on AWS across complex operational workflows. Through real client stories, explore how modern platforms, trusted data and secure software foundations help teams improve service, strengthen resilience and move AI into production with confidence. This presentation is brought to you by IBM, an AWS Partner.","startDateTime":"2026-12-01T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-12-01T23:30:00.000Z","endDateTime":"2026-12-01T23:50:00.000Z","endTime":"15:50","sessionTimeId":"1790033124174001qJJ2","lastModified":"2026-11-05T22:06:56Z","speakers":[],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Cryptography and Post-Quantum"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442272602001c2G3","hash":"f95e4a1e832a7c8b37030e8d91a0b827","shortId":"SEC221-S","title":"Agentic AI Meets ‘Human-Guided-Autonomy’ (sponsored by Terra)","abstract":"AI is accelerating how fast code ships and how fast attackers find exploitable weaknesses, and annual pentests cannot keep pace. This session looks at what it takes to make security validation genuinely continuous rather than just more frequent, tracking what changed instead of retesting everything from scratch. Self-driving cars, robotic surgery, and other sensitive actions all became viable the same way: not by removing the human, but by defining exactly which actions the machine takes on its own and which ones need a hand on the controls. This talk will cover the delegate balance between autonomy, safety and control in Offensive Security. This presentation is brought to you by Terra, an AWS Partner.","startDateTime":"2026-12-03T01:00:00.000Z","startTime":"17:00","startTimeFormatted":"2026-12-03T01:00:00.000Z","endDateTime":"2026-12-03T01:20:00.000Z","endTime":"17:20","sessionTimeId":"1790033125287001qXe1","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Tech Explorer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1793220639049001Ko0F","hash":"bb30fc8d5891f92189dd57deb3559a3d","shortId":"AMZ305","title":"Agentic AI Meets Real Money: 5M+ Customer Chats With Amazon Payments","abstract":"Where is my refund? What is this charge? How much is left on my gift card? Alexa for Shopping customers asked about their money, but the assistant couldn't reach payment systems, so two-second questions became contact-center calls. Meet the Amazon Payments agent. It reasons about each customer's need, securely retrieves their payment data, asks instead of guessing, and escalates to human specialists when needed. Guardrails keep money safe: payments-only scope, bounded tool calls, encrypted sensitive fields, and evaluation gates. Results: 5M+ interactions, 3M+ customers, and 50%+ higher refund satisfaction. Leave with patterns for building agents customers trust with their money.","startDateTime":"2026-12-03T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-03T00:30:00.000Z","endDateTime":"2026-12-03T00:50:00.000Z","endTime":"16:50","sessionTimeId":"1793220681371001AUVf","lastModified":"2026-11-06T01:28:59Z","speakers":[{"id":"1793641001079001uNxt_17746331reinvent2026","displayName":"Yash Parikh","name":"Yash Parikh","firstName":"Yash","lastName":"Parikh","company":"Amazon.com"}],"venueRoomName":"Level 2 | Hall B | Expo | Builder Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Amazon Builds on AWS"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442264671001cmM0","hash":"c9d757ab5fffa5d0434a7b873bce0afd","shortId":"PEX207","title":"Agentic AI Meets the Line-of-Business Buyer","abstract":"Budget authority is migrating from CIOs to line-of-business leaders - CFOs, Chief Medical Officers, Heads of Manufacturing - who buy outcomes, not infrastructure. At the same time, agentic AI is making it possible to automate entire business processes end-to-end, not just assist them. The partners who win are the ones who can connect these two shifts: framing autonomous agents as measurable business outcomes (revenue acceleration, cost compression, speed-to-market) in the language LOB leaders understand.","startDateTime":"2026-12-03T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-12-03T23:30:00.000Z","endDateTime":"2026-12-03T23:50:00.000Z","endTime":"15:50","sessionTimeId":"1790033123290001qhdO","lastModified":"2026-11-06T01:10:15Z","speakers":[{"id":"1770348919097001pjzT_17746331reinvent2026","displayName":"Shreyans Gautam","name":"Shreyans Gautam","firstName":"Shreyans","lastName":"Gautam","company":"Amazon"},{"id":"1726506987388001C3HE_17746331reinvent2026","displayName":"Usha Rao","name":"Usha Rao","firstName":"Usha","lastName":"Rao","company":"AWS"}],"venueRoomName":"Level 2 | Hall B | Expo | Industry Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Sales / Marketing"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780441489933001Grje","hash":"a30d563009dbd15d51db75b23f0d0db1","shortId":"COP344-S","title":"Agentic AI Needs Agentic Infrastructure: Autonomy on Amazon EKS (sponsored by ScaleOps)","abstract":"Enterprises now ship software that reasons and acts on its own. The infrastructure underneath still waits for a human to edit YAML. This session makes the case that autonomous workloads demand autonomous infrastructure, and shows what it looks like on Amazon EKS today: agents held to fractional GPU allocations that track real consumption, pod requests that stay honest as behavior drifts, and Karpenter consolidating nodes fed by accurate signals. You'll hear how enterprises run this in production with ScaleOps, and where autonomous resource management goes next. Leave with a blueprint for infrastructure that manages itself. This presentation is brought to you by ScaleOps, an AWS Partner.","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025473739001CCjD","lastModified":"2026-11-06T01:41:08Z","speakers":[{"id":"1792082214723001fUWA_17746331reinvent2026","displayName":"Gilad Elyashar","name":"Gilad Elyashar","firstName":"Gilad","lastName":"Elyashar","company":"ScaleOps"},{"id":"1732719477699001tVfs_17746331reinvent2026","displayName":"Yodar Shafrir","name":"Yodar Shafrir","firstName":"Yodar","lastName":"Shafrir","company":"ScaleOps Labs Ltd."}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"DevOps"},{"id":"AreaofInterest","displayName":"Kubernetes"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":256},{"id":"1780441487581001G8Xq","hash":"f2dfb6f6251d20182c7a78ebf18bdf53","shortId":"CMP204-S","title":"Agentic AI on AWS with Intel and Databricks (sponsored by Intel)","abstract":"Intel and Databricks are collaborating to optimize price-performance for workloads running on AWS. This session covers optimizations for ISVs running Photon/Spark on Databricks leveraging custom Amazon EC2 instances powered by Intel® Xeon® processors, delivering advanced AI capabilities and high core density. This presentation is brought to you by Intel, an AWS Partner.","startDateTime":"2026-12-03T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-03T00:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025527412001CdLp","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1725408465584001uMYb_17746331reinvent2026","displayName":"Mickey Iqbal","name":"Mickey Iqbal","firstName":"Mickey","lastName":"Iqbal","company":"AWS"},{"id":"1726262566651001xxcN_17746331reinvent2026","displayName":"Diego Bailon Humpert","name":"Diego Bailon Humpert","firstName":"Diego","lastName":"Bailon Humpert","company":"Banco BPM"},{"id":"1726508294144001CDS3_17746331reinvent2026","displayName":"Farid Chalouhi","name":"Farid Chalouhi","firstName":"Farid","lastName":"Chalouhi","company":"intel"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780441467242001GTJB","hash":"dc5959bd1b19db3c6bb21fd1a4452fe1","shortId":"COM313","title":"Agentic commerce in production: multi-agent orchestration on AgentCore","abstract":"A single agent that both advises and sells gets fragile fast. This session shows a production multi-agent system on Amazon Bedrock AgentCore and Strands Agents, running for real Shopify  merchants, where an orchestrator coordinates two specialists: a wellness advisor in a regulated domain and a commerce agent that owns decision and checkout. We walk the decisions that matter: orchestration topology, intent routing and handoffs, shared versus isolated memory across agents, where the action boundary and per-agent guardrails live, and the latency and token cost that coordination multiplies. A demo follows one conversation from advice to checkout. You leave with an orchestration pattern, and the code to implement it directly in your online store.","startDateTime":"2026-12-04T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-04T00:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025550394001CtIE","lastModified":"2026-11-02T19:35:31Z","speakers":[{"id":"1758723251002001zlC3_17746331reinvent2026","displayName":"Ricardo Ceci","name":"Ricardo Ceci","firstName":"Ricardo","lastName":"Ceci","company":"VN Studios"},{"id":"1760373571120001cmZK_17746331reinvent2026","displayName":"Matias Kreder","name":"Matias Kreder","firstName":"Matias","lastName":"Kreder","company":"Ryz Labs"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Front-End Web & Mobile"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Advisor / Consultant"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Community-led"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":162},{"id":"1790358234675001ispU","hash":"d2e0706a90d0b4b51e707917588a3ff1","shortId":"IND362-R1","title":"Agentic commerce: shopping assistants to agent-ready infrastructure","abstract":"AI agents are reshaping how consumers discover and purchase products, and retail and CPG brands have a massive opportunity to meet them where they are. This chalk talk covers both sides of the agentic commerce stack. First, we walk through how retailers can launch conversational shopping customized to their catalog and brand voice in weeks with the Agentic Shopping Assistant on AWS, powered by Amazon Bedrock AgentCore and inspired by Amazon's own AI shopping experience. Then we explore how to make your platform discoverable by external AI agents through structured product feeds, headless APIs, and payment orchestration for machine-initiated transactions.","startDateTime":"2026-12-01T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790360365071001ArPx","lastModified":"2026-11-03T20:25:53Z","speakers":[{"id":"1732209188115001eMZJ_17746331reinvent2026","displayName":"Aditya Pendyala","name":"Aditya Pendyala","firstName":"Aditya","lastName":"Pendyala","company":"Amazon Web Services"},{"id":"1760011260454001fjuh_17746331reinvent2026","displayName":"Adler Oliveira","name":"Adler Oliveira","firstName":"Adler","lastName":"Oliveira","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Forum 114","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon OpenSearch Serverless"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Front-End Web & Mobile"},{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Retail & Consumer Goods"}],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1780442244829001cm9z","shortId":"IND362-R","startDateTime":"2026-12-03T17:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","startTime":"09:00","endTime":"10:00","day":"Thursday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Alliance 314"}]},{"id":"1780442244829001cm9z","hash":"a2d7d6f84bb46e2ab9d3c0aa281d941c","shortId":"IND362-R","title":"Agentic commerce: shopping assistants to agent-ready infrastructure","abstract":"AI agents are reshaping how consumers discover and purchase products, and retail and CPG brands have a massive opportunity to meet them where they are. 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Then we explore how to make your platform discoverable by external AI agents through structured product feeds, headless APIs, and payment orchestration for machine-initiated transactions.","startDateTime":"2026-12-03T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-03T17:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025533400001Cjy5","lastModified":"2026-11-02T05:26:56Z","speakers":[{"id":"1732209188115001eMZJ_17746331reinvent2026","displayName":"Aditya Pendyala","name":"Aditya Pendyala","firstName":"Aditya","lastName":"Pendyala","company":"Amazon Web Services"},{"id":"1760011260454001fjuh_17746331reinvent2026","displayName":"Adler Oliveira","name":"Adler Oliveira","firstName":"Adler","lastName":"Oliveira","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Alliance 314","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon OpenSearch Serverless"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Front-End Web & Mobile"},{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Retail & Consumer Goods"}],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1790358234675001ispU","shortId":"IND362-R1","startDateTime":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Tuesday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Forum 114"}]},{"id":"1780442259526001ckpT","hash":"5abe3e63c8d35042546110940cc95a21","shortId":"AIM219","title":"Agentic commerce: Use AI agents with AWS Marketplace","abstract":"Managing software procurement across dozens of tools, teams, and accounts is slow and error-prone. In this lightning talk, we use AI agents to automate the buyer journey on AWS Marketplace to discover and evaluate products, accept discounted offers instantly, enforce governance, achieve operational excellence, request refunds and cancellations, and gain unified visibility into spend and cost management. Compress procurement from weeks to minutes while maintaining governance and financial controls.","startDateTime":"2026-11-30T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-11-30T18:00:00.000Z","endDateTime":"2026-11-30T18:20:00.000Z","endTime":"10:20","sessionTimeId":"1790033109755001qJk1","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1725408416044001u4Hn_17746331reinvent2026","displayName":"Arun Saksena","name":"Arun Saksena","firstName":"Arun","lastName":"Saksena","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1780442226005001c89h","hash":"55d46f2724815132aaabb574427455db","shortId":"CON303-R","title":"Agentic developer experience with Amazon EKS","abstract":"Transform your Kubernetes development workflow using generative AI. In this workshop, use your choice of agentic AI CLI, Kiro CLI, Claude Code, or Codex, with the EKS MCP Server to automate complex operations, troubleshoot applications through natural language, and deploy microservices on Amazon EKS. Work through hands-on labs: explore clusters using natural language, fix connectivity and ingress issues by orchestrating the EKS MCP Server with Terraform, and deploy new application components using AI-guided analysis. Leave with practical skills to integrate AI-powered automation into your existing Kubernetes workflows and dramatically improve developer productivity.","startDateTime":"2026-11-30T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-11-30T18:30:00.000Z","endDateTime":"2026-11-30T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025480022001C64W","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1738834676459001aXDi_17746331reinvent2026","displayName":"Majid Shokrolahi","name":"Majid Shokrolahi","firstName":"Majid","lastName":"Shokrolahi","company":"Amazon Web Services (AWS)"},{"id":"1757468135119001RiHm_17746331reinvent2026","displayName":"Sumanth Nidamanuri","name":"Sumanth Nidamanuri","firstName":"Sumanth","lastName":"Nidamanuri","company":"Amazon Web Services"},{"id":"1738878603255001oSEb_17746331reinvent2026","displayName":"Dariush Azimi","name":"Dariush Azimi","firstName":"Dariush","lastName":"Azimi","company":"Amazon"},{"id":"1770344011382001G4xv_17746331reinvent2026","displayName":"Hasnain Raza","name":"Hasnain Raza","firstName":"Hasnain","lastName":"Raza","company":"AWS"},{"id":"1725052885597001mZtD_17746331reinvent2026","displayName":"Niall Thomson","name":"Niall Thomson","firstName":"Niall","lastName":"Thomson","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Builders' Session 1","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Developer Tools"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Kubernetes"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1790358230722001iiQS","shortId":"CON303-R1","startDateTime":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-02T23:30:00.000Z","startTime":"14:30","endTime":"15:30","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358230722001iiQS","hash":"90d6537db02e67e65f8153dfc8ceb855","shortId":"CON303-R1","title":"Agentic developer experience with Amazon EKS","abstract":"Transform your Kubernetes development workflow using generative AI. In this workshop, use your choice of agentic AI CLI, Kiro CLI, Claude Code, or Codex, with the EKS MCP Server to automate complex operations, troubleshoot applications through natural language, and deploy microservices on Amazon EKS. Work through hands-on labs: explore clusters using natural language, fix connectivity and ingress issues by orchestrating the EKS MCP Server with Terraform, and deploy new application components using AI-guided analysis. Leave with practical skills to integrate AI-powered automation into your existing Kubernetes workflows and dramatically improve developer productivity.","startDateTime":"2026-12-02T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-02T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790360386273001AXyO","lastModified":"2026-11-03T21:51:07Z","speakers":[{"id":"1738878603255001oSEb_17746331reinvent2026","displayName":"Dariush Azimi","name":"Dariush Azimi","firstName":"Dariush","lastName":"Azimi","company":"Amazon"},{"id":"1725052885597001mZtD_17746331reinvent2026","displayName":"Niall Thomson","name":"Niall Thomson","firstName":"Niall","lastName":"Thomson","company":"Amazon Web Services"},{"id":"1757468135119001RiHm_17746331reinvent2026","displayName":"Sumanth Nidamanuri","name":"Sumanth Nidamanuri","firstName":"Sumanth","lastName":"Nidamanuri","company":"Amazon Web Services"},{"id":"1770344011382001G4xv_17746331reinvent2026","displayName":"Hasnain Raza","name":"Hasnain Raza","firstName":"Hasnain","lastName":"Raza","company":"AWS"},{"id":"1738834676459001aXDi_17746331reinvent2026","displayName":"Majid Shokrolahi","name":"Majid Shokrolahi","firstName":"Majid","lastName":"Shokrolahi","company":"Amazon Web Services (AWS)"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Developer Tools"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Kubernetes"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1780442226005001c89h","shortId":"CON303-R","startDateTime":"2026-11-30T18:30:00.000Z","endDateTime":"2026-11-30T19:30:00.000Z","startTime":"10:30","endTime":"11:30","day":"Monday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Forum 120 | Content Hub | Builders' Session 1"}]},{"id":"1780442240469001cRpC","hash":"29f82a877d7dd96a41d52968cf42e5bc","shortId":"DVT310-R","title":"Agentic development with AWS Cloud Development Kit (AWS CDK)","abstract":"AI coding agents can write application logic, but can they provision your infrastructure too? 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This gap creates real business and regulatory risk. Join this session to explore how to assess whether your agentic AI systems apply equitable treatment across chosen demographic attributes using defined fairness criteria. Through hands-on examples spanning financial services, customer support, and commerce, discover how to move from language-level toxicity checks to decision-level fairness audits. Learn to identify disparate treatment, choose appropriate fairness metrics for your use case, and implement testing frameworks that catch bias where it matters most: in the outcomes that affect people's lives.","startDateTime":"2026-12-02T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-02T20:00:00.000Z","endDateTime":"2026-12-02T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025519528001CJOJ","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1746485467941001UZKm_17746331reinvent2026","displayName":"Bharathi Srinivasan","name":"Bharathi Srinivasan","firstName":"Bharathi","lastName":"Srinivasan","company":"AWS"},{"id":"1725408387203001uJHp_17746331reinvent2026","displayName":"Denis V Batalov","name":"Denis V Batalov","firstName":"Denis V","lastName":"Batalov","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82,"repeats":[{"id":"1790358242926001iJ6M","shortId":"AIM332-R1","startDateTime":"2026-12-01T21:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","startTime":"13:00","endTime":"14:00","day":"Tuesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358242926001iJ6M","hash":"c63f298981560fb4f40cb7cbf54b30a3","shortId":"AIM332-R1","title":"Agentic fairness: Practical methods to detect bias in AI-driven decisions","abstract":"AI agents are increasingly making real-world decisions — approving loans, issuing refunds, offering discounts — yet most fairness testing still focuses on whether chatbots use offensive language. 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In this chalk talk, we explore how Amazon Connect Customer, powered by Model Context Protocol (MCP), shifts integration from point-to-point connectors to intelligent, agentic orchestration. The AI agent reasons across multiple systems in real time, assembling unified customer context that no single system holds alone. We whiteboard the architecture: how MCP connections work, how each new system compounds the intelligence available to every interaction, and how to evaluate which integrations to migrate first. Bring your integration pain (Salesforce, ServiceNow, homegrown systems) and we'll design the agentic alternative on the whiteboard.","startDateTime":"2026-12-02T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790360371482001AWYU","lastModified":"2026-11-03T20:22:21Z","speakers":[{"id":"1770342931880001kzf9_17746331reinvent2026","displayName":"Chintan Gandhi","name":"Chintan Gandhi","firstName":"Chintan","lastName":"Gandhi","company":"Aamzon Web Services"},{"id":"1725408410630001udXe_17746331reinvent2026","displayName":"Ritesh Choudhary","name":"Ritesh Choudhary","firstName":"Ritesh","lastName":"Choudhary","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Connect"}],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780442236476001cvRS","shortId":"BIZ201-R","startDateTime":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","startTime":"16:00","endTime":"17:00","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442264802001cSkD","hash":"c3da883144c80d6665138a8dcb604b08","shortId":"PEX209","title":"Agentic-Led Modernization: First Movers' Winning Formula with AWS Transform","abstract":"Continuous modernization isn't optional — it's the engine of speed and competitive advantage. In this session, hear what early-adopter AWS Partners discovered building on AWS Transform, how composability lets them embed their own IP while harnessing AWS's customer reach, funding, and brand, and where the roadmap","startDateTime":"2026-12-01T01:30:00.000Z","startTime":"17:30","startTimeFormatted":"2026-12-01T01:30:00.000Z","endDateTime":"2026-12-01T01:50:00.000Z","endTime":"17:50","sessionTimeId":"1790033123474001qzoQ","lastModified":"2026-11-03T22:06:21Z","speakers":[{"id":"1736357076862001xdEM_17746331reinvent2026","displayName":"Joe Lan","name":"Joe Lan","firstName":"Joe","lastName":"Lan","company":"Amazon Web Services"},{"id":"1726526943716001vquA_17746331reinvent2026","displayName":"Sabeena Irani","name":"Sabeena Irani","firstName":"Sabeena","lastName":"Irani","company":"Amazon Web Services"}],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Monday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Application Migration Service"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Sales / Marketing"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1790358214919001i73a","hash":"1d3fb6b5fe453852bad399002770e1f2","shortId":"BIZ403-R1","title":"Agentic Memory: Build AI Agents That Learn from Every Interaction","abstract":"Today's AI agents forget everything after each conversation ends. A customer calls back about the same issue for the third time, and the agent starts from zero. In this chalk talk, we explore how to architect persistent memory systems for Amazon Connect Customer AI agents, enabling them to remember customer preferences, recall prior issue context, and adapt resolution strategies over time. We walk through three memory patterns: episodic (past interactions), semantic (customer knowledge graphs), and procedural (learned resolution paths). We whiteboard real architectures using Customer Profiles, Bedrock knowledge bases, and DynamoDB to build agents that reduce repeat contacts and deliver personalized experiences, without retraining models. Bring your memory challenge and we'll design the persistence layer on the whiteboard.","startDateTime":"2026-12-03T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790360366469001A8Zm","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1718297090971001lnW5_17746331reinvent2026","displayName":"Abhishek Pandey","name":"Abhishek Pandey","firstName":"Abhishek","lastName":"Pandey","company":"Amazon Web Services"},{"id":"1725408410798001umSV_17746331reinvent2026","displayName":"Ankur Taunk","name":"Ankur Taunk","firstName":"Ankur","lastName":"Taunk","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780442236537001cY3e","shortId":"BIZ403-R","startDateTime":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T17:30:00.000Z","startTime":"08:30","endTime":"09:30","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442236537001cY3e","hash":"085c211157e66b68c6de6976e2f7a63d","shortId":"BIZ403-R","title":"Agentic Memory: Build AI Agents That Learn from Every Interaction","abstract":"Today's AI agents forget everything after each conversation ends. A customer calls back about the same issue for the third time, and the agent starts from zero. In this chalk talk, we explore how to architect persistent memory systems for Amazon Connect Customer AI agents, enabling them to remember customer preferences, recall prior issue context, and adapt resolution strategies over time. We walk through three memory patterns: episodic (past interactions), semantic (customer knowledge graphs), and procedural (learned resolution paths). We whiteboard real architectures using Customer Profiles, Bedrock knowledge bases, and DynamoDB to build agents that reduce repeat contacts and deliver personalized experiences, without retraining models. Bring your memory challenge and we'll design the persistence layer on the whiteboard.","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025471983001C8lV","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1718297090971001lnW5_17746331reinvent2026","displayName":"Abhishek Pandey","name":"Abhishek Pandey","firstName":"Abhishek","lastName":"Pandey","company":"Amazon Web Services"},{"id":"1725408410798001umSV_17746331reinvent2026","displayName":"Ankur Taunk","name":"Ankur Taunk","firstName":"Ankur","lastName":"Taunk","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1790358214919001i73a","shortId":"BIZ403-R1","startDateTime":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","startTime":"13:00","endTime":"14:00","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1784231860647001EwNk","hash":"3371770302e6622fd8af73bd78fd71e0","shortId":"TNC337","title":"Agentic Modernization with AWS Transform","abstract":"AWS Transform orchestrates AI agents that analyze, refactor, and convert legacy applications without manual line-by-line rewrites. In this bootcamp, set modernization objectives, let AI agents decompose and transform .NET Framework code to cross-platform .NET on Linux, then migrate a SQL Server database to Amazon Aurora PostgreSQL. Practice agentic assessment, wave planning, code transformation, and schema conversion end to end. ","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790017386919001CMSe","lastModified":"2026-10-31T17:18:56Z","speakers":[{"id":"1757559532442001tpJj_17746331reinvent2026","displayName":"Paul Colmer","name":"Paul Colmer","firstName":"Paul","lastName":"Colmer","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Bootcamp"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Transform"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":200},{"id":"1786043769407001qaMi","hash":"e40c6dfb6a83d2e67fa77303403c593a","shortId":"AIM377","title":"Agentic platform design engineering: scaling AI agents across the enterprise.","abstract":"Your teams are building AI agents in every line of business and also using third-party agents. How do you evolve them into an enterprise agentic platform where you know what exists, reuse it instead of rebuilding, keep it secure, and control what agents spend? This hands-on workshop applies agentic platform design engineering for enterprises. Learn how AWS Agent Registry and an open-source registry let teams discover and reuse agents. Secure cross-account calls with short-lived tokens, trace each request end to end, and let agents pay for data within limits they can't override. Leave with a blueprint for your platform.","startDateTime":"2026-11-30T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-11-30T23:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025495430001CzYl","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1739993532973001hFvz_17746331reinvent2026","displayName":"Rajeswari Malladi","name":"Rajeswari Malladi","firstName":"Rajeswari","lastName":"Malladi","company":"Amazon Web Services"},{"id":"1739372382157001UD3u_17746331reinvent2026","displayName":"Manuj Arora","name":"Manuj Arora","firstName":"Manuj","lastName":"Arora","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":112},{"id":"1784231860891001EWzM","hash":"a98c26da40d735ffa72ac69b9ffc65fe","shortId":"TNC302-R1","title":"Agentic Powered AWS Frontier Agents","abstract":"Application failures and security vulnerabilities demand fast answers to reduce downtime. In this bootcamp, learn how to setup AWS DevOps Agent and automate investigation failures through logs, metrics, and code changes, then generate remediation plans. Learn how to use AWS Security Agent to configure domain-scoped penetration tests, monitor real-time execution, and interpret severity-rated findings. Gain hands-on experience with two agents that compress hours of investigation into minutes. ","startDateTime":"2026-12-03T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790980825049001VCmi","lastModified":"2026-11-04T22:12:35Z","speakers":[{"id":"1726265933828001F1mU_17746331reinvent2026","displayName":"Jonathan Dion","name":"Jonathan Dion","firstName":"Jonathan","lastName":"Dion","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Bootcamp"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS DevOps Agent"},{"id":"Services","displayName":"AWS Security Agent"}],"topics":[{"id":"Topic","displayName":"Developer Tools"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"},{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":200,"repeats":[{"id":"1784231860116001EAsq","shortId":"TNC302-R","startDateTime":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","startTime":"08:30","endTime":"12:30","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1784231860116001EAsq","hash":"9601a097d37a0ae08e46ad1cd29c0871","shortId":"TNC302-R","title":"Agentic Powered AWS Frontier Agents","abstract":"Application failures and security vulnerabilities demand fast answers to reduce downtime. 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Gain hands-on experience with two agents that compress hours of investigation into minutes. ","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790020677654001lm5n","lastModified":"2026-11-05T18:09:55Z","speakers":[{"id":"1726265933828001F1mU_17746331reinvent2026","displayName":"Jonathan Dion","name":"Jonathan Dion","firstName":"Jonathan","lastName":"Dion","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Bootcamp"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS DevOps Agent"},{"id":"Services","displayName":"AWS Security Agent"}],"topics":[{"id":"Topic","displayName":"Developer Tools"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"},{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":200,"repeats":[{"id":"1784231860891001EWzM","shortId":"TNC302-R1","startDateTime":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","startTime":"13:00","endTime":"17:00","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442264614001cmzn","hash":"8d90f975c8384fe8a5d710e4eb1d9fdd","shortId":"PEX206","title":"Agentic Process Transformation at Enterprise Scale","abstract":"Your customers don't need another automation tool, they need the leap forward they're actually looking for with AI. Agentic Process Transformation (APT) is the framework partners use to help customers move past isolated task automation and into enterprise-wide process reinvention: redesigning entire processes from the ground up to grow revenue and improve the bottom line at a scale automation alone can't reach. We'll share how to spot these transformation opportunities and the architectural patterns that turn them into production solutions. 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The expertise that wins deals is still locked in a few people and a separate portal. This session reveals how a new generation of AI agents puts that expertise on demand: surfacing co-sell intelligence and funding eligibility in the tools Partners already use, so every seller works with the best of the organization behind them.","startDateTime":"2026-12-02T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-02T20:00:00.000Z","endDateTime":"2026-12-02T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025520135001C1dL","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1727288697806001YP7w_17746331reinvent2026","displayName":"Prerit Panwar","name":"Prerit Panwar","firstName":"Prerit","lastName":"Panwar","company":"Amazon Web Services"},{"id":"1732220500311001oV01_17746331reinvent2026","displayName":"Simone Thompson","name":"Simone Thompson","firstName":"Simone","lastName":"Thompson","company":"ThoughtWorks"},{"id":"1737653968672001bJMF_17746331reinvent2026","displayName":"Aaron Barton","name":"Aaron Barton","firstName":"Aaron","lastName":"Barton","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Sales / Marketing"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780441485616001Gx0H","hash":"311c68bbd7976e16adf182bf7833dc83","shortId":"AIM110-S","title":"Agentic Software Development Lifecycle (SDLC) with the UK Home Office (sponsored by Capgemini)","abstract":"The UK Home Office is tasked with keeping the UK Safe and Prosperous. Capgemini is working with the Home Office to increase effectiveness and efficiency of its digital and cloud services. Key areas include case management, legacy modernization and SDLC efficiency. This is being delivered in collaboration with AWS and Anthropic. Using Claude agents via AWS Bedrock, this capability is forecast to deliver >30% cashable savings compared to existing processes and improve quality by >20% through better informed decisions. This presentation is brought to you by Capgemini, an AWS Partner.","startDateTime":"2026-12-02T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-02T19:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790034534057001pQBz","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Purple Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Entrepreneur (Founder/Co-Founder)"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1790358227152001ieko","hash":"6a2ff929b0b4630bfedabd3a754a0dfc","shortId":"CMP302-R1","title":"Agents at the Gate: Governing AI in EC2 Image Builder","abstract":"EC2 Image Builder pipelines sprawl fast, and frontier agents that run for hours unattended need guardrails. In this builders' session, decompose Image Builder operations into reusable agent skills run via Kiro, Claude Code. Author AWSTOE components and orchestrate workflows, then harden images and scan for CVEs. Mid-build, a WaitForAction step pauses the pipeline and hands the image to AWS Security Agent to pentest; what it finds decides whether the build ships, bounded by severity, iteration caps, and human approval. Leave with a reusable skill library and governance pattern.","startDateTime":"2026-12-03T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-03T00:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790360381778001AAv8","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1739296390254001BgHF_17746331reinvent2026","displayName":"Rielah De Jesus","name":"Rielah De Jesus","firstName":"Rielah","lastName":"De Jesus","company":"Amazon Web Services"},{"id":"1756396942416001xiiG_17746331reinvent2026","displayName":"Smriti Ohri","name":"Smriti Ohri","firstName":"Smriti","lastName":"Ohri","company":"Amazon Web Services"},{"id":"1737997039439001LpKV_17746331reinvent2026","displayName":"Maksim Poletaev","name":"Maksim Poletaev","firstName":"Maksim","lastName":"Poletaev","company":"AWS"},{"id":"1725408495358001uVEn_17746331reinvent2026","displayName":"Malini Chatterjee","name":"Malini Chatterjee","firstName":"Malini","lastName":"Chatterjee","company":"AWS"},{"id":"1732302463918001MYmk_17746331reinvent2026","displayName":"Sabha Parameswaran","name":"Sabha Parameswaran","firstName":"Sabha","lastName":"Parameswaran","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"EC2 Image Builder"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Management & Governance"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1780442225668001c2Zz","shortId":"CMP302-R","startDateTime":"2026-11-30T18:00:00.000Z","endDateTime":"2026-11-30T19:00:00.000Z","startTime":"10:00","endTime":"11:00","day":"Monday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Alliance 311"}]},{"id":"1780442225668001c2Zz","hash":"d599fee6e4db497c66fd4b9455d1d73b","shortId":"CMP302-R","title":"Agents at the Gate: Governing AI in EC2 Image Builder","abstract":"EC2 Image Builder pipelines sprawl fast, and frontier agents that run for hours unattended need guardrails. In this builders' session, decompose Image Builder operations into reusable agent skills run via Kiro, Claude Code. Author AWSTOE components and orchestrate workflows, then harden images and scan for CVEs. Mid-build, a WaitForAction step pauses the pipeline and hands the image to AWS Security Agent to pentest; what it finds decides whether the build ships, bounded by severity, iteration caps, and human approval. 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Can you recover it? (sponsored by Rubrik)","abstract":"AI is multiplying the identities and agents that can change your AWS data. One over-scoped role or runaway agent can delete or overwrite the data your models depend on, in an S3 lake or Iceberg lakehouse. Replication copies a bad write, versioning is often off. How do you recover without a valid backup?\nLearn where recovery breaks across S3, Glue Data Catalog, S3 Tables, and databases and pipelines around them, then how Rubrik recovers petabytes in hours, restoring only what changed, critical data first, within your RTO.\nResilience spans your estate. Hear how TGS built a ransomware-resilient platform with Rubrik. This presentation is brought to you by Rubrik, an AWS Partner.","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790034533908001pOZE","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1755548158445001frtX_17746331reinvent2026","displayName":"Adam Rusho","name":"Adam Rusho","firstName":"Adam","lastName":"Rusho","company":"Rubrik"},{"id":"1723812796867001CBaX_17746331reinvent2026","displayName":"Jérôme Cousin","name":"Jérôme Cousin","firstName":"Jérôme","lastName":"Cousin","company":"TGS"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Purple Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"},{"id":"Topic","displayName":"Migration & Modernization"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Threat Intelligence"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780441487523001GnAq","hash":"6782ff27686278043611fb82bfb4a77b","shortId":"AIM259-S","title":"Agents demand context. Build them a Streamhouse. (sponsored by Confluent)","abstract":"Your agents can't act on yesterday's data. In this session, see how to connect streaming events, governed data, and agent orchestration into one production-ready streamhouse architecture on AWS. Learn how to build a complete, performant, and open streamhouse that delivers real-time context, elastic scale, and mission-critical reliability across every cloud and private environment without data silos. You'll leave with practical patterns for moving from brittle data pipelines to AI built on data streams, designed for speed, trust, and scale. This presentation is brought to you by Confluent, an AWS Partner.","startDateTime":"2026-12-01T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-01T22:30:00.000Z","endDateTime":"2026-12-01T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025506330001C5X7","lastModified":"2026-11-06T01:41:08Z","speakers":[{"id":"1792173170038001ye7I_17746331reinvent2026","displayName":"Brady Perry","name":"Brady Perry","firstName":"Brady","lastName":"Perry","company":"Busie"},{"id":"1750290397781001wuwD_17746331reinvent2026","displayName":"Sean Falconer","name":"Sean Falconer","firstName":"Sean","lastName":"Falconer","company":"Confluent"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Purple Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Event-Driven Architecture"},{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780441479834001Gqmr","hash":"bb8471eba4e9390fea1d84809a78fd7e","shortId":"OPN305","title":"Agents need names too: Open standards for agent discovery","abstract":"As AI agents proliferate, the internet needs a decentralized way to name, discover, and trust them. This session explores how AWS contributes to open source projects like DNS-AID (IETF/Linux Foundation) and AI-Catalog (Linux Foundation) to define the agent discovery layer atop existing DNS infrastructure. We'll walk through the specs — SVCB records, W3C DIDs, Verifiable Credentials, HTTP Message Signatures — and show how anyone can resolve and verify an agent with off-the-shelf libraries and a single DNS query. No vendor lock-in. 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When incidents strike at this scale, every second counts. In this session, learn how a customer-driven vision for agentic AI evolved into a joint design partnership for autonomous database operations on Amazon Aurora. Discover how agents diagnose incidents across fleet-scale telemetry and deliver actionable recommendations to engineers. This joint initiative demonstrates how AI agents reduce incident response time and serves as a blueprint for teams seeking to automate database operations at scale. Learn how AWS is building the underlying capabilities to make autonomous operations real.","startDateTime":"2026-11-30T17:30:00.000Z","startTime":"09:30","startTimeFormatted":"2026-11-30T17:30:00.000Z","endDateTime":"2026-11-30T17:50:00.000Z","endTime":"09:50","sessionTimeId":"1790776991377001MEq9","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1725408325587001uXhz_17746331reinvent2026","displayName":"Anum Jang Sher","name":"Anum Jang Sher","firstName":"Anum","lastName":"Jang Sher","company":"Amazon"},{"id":"1761342997018001UZa5_17746331reinvent2026","displayName":"Hao Nguyen","name":"Hao Nguyen","firstName":"Hao","lastName":"Nguyen","company":"Expedia Group"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Aurora"},{"id":"Services","displayName":"Amazon DevOps Guru"},{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"DevOps"},{"id":"AreaofInterest","displayName":"Customer Enablement"}],"industry":[{"id":"Industry","displayName":"Travel & Hospitality"}],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1780442273693001cd1J","hash":"8700b3d24b41a03914b67d48b81a7386","shortId":"AIM394-S","title":"Agents run at the edge. The blast radius lives in the cloud (sponsored by Sysdig)","abstract":"Every agent your company runs, on a developer laptop, in a CI runner, or in an Amazon EKS pod, ends its work the same way, with an API call against your AWS account using a credential nobody reviewed. Endpoint tools stop at the laptop. The credentials that matter live in the cluster. This year's worst agent incidents involved no attacker. An agent did what it was permitted to do, and nobody rendered a decision at the moment a permitted step became an incident. In fifteen minutes, Sysdig follows one person's agents from their laptop into EKS, shows what each action would reach in your account, and stops the one whose reach includes admin-equivalent permissions before it executes. Bring your own agents. Ask us what they can reach. This presentation is brought to you by Sysdig, an AWS Partner.","startDateTime":"2026-12-03T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-03T21:30:00.000Z","endDateTime":"2026-12-03T21:50:00.000Z","endTime":"13:50","sessionTimeId":"1790033125722001q792","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1727990597316001nMnp_17746331reinvent2026","displayName":"Eric Carter","name":"Eric Carter","firstName":"Eric","lastName":"Carter","company":"Sysdig"}],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1790358257392001iv3K","hash":"9dca09d4a58a4923182f6c84866d8d3e","shortId":"AIM401-R1","title":"Agents that train themselves: autonomous reinforcement learning on AWS","abstract":"Can an AI agent teach itself to land a spacecraft? In this hands-on Builders' session you hand a Strands agent one goal: land the lunar lander gently. Then you watch it write its own reward, run reinforcement learning, and grade the result, looping until it sticks the landing. You'll catch it cheating, then watch it diagnose and fix its reward. When a run stalls, you fan out parallel agents and let a sealed judge crown the winner before shipping it to Amazon Bedrock AgentCore. Give an agent a goal and a judge it can't game, and it trains itself.","startDateTime":"2026-12-02T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790360400710001AE4h","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1789402258268001uDmZ_17746331reinvent2026","displayName":"Rachit Mehta","name":"Rachit Mehta","firstName":"Rachit","lastName":"Mehta","company":"Amazon"},{"id":"1756396912790001xtrj_17746331reinvent2026","displayName":"Arron Bailiss","name":"Arron Bailiss","firstName":"Arron","lastName":"Bailiss","company":"Amazon Web Services"},{"id":"1785197454339001mglk_17746331reinvent2026","displayName":"Patrick Gray","name":"Patrick Gray","firstName":"Patrick","lastName":"Gray","company":"Amazon"},{"id":"1788460967594001nu2S_17746331reinvent2026","displayName":"Gautam Sirdeshmukh","name":"Gautam Sirdeshmukh","firstName":"Gautam","lastName":"Sirdeshmukh","company":"AWS Agentic AI"},{"id":"1790268187496001txFS_17746331reinvent2026","displayName":"Bryan Lu","name":"Bryan Lu","firstName":"Bryan","lastName":"Lu","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1780442223920001c4Dh","shortId":"AIM401-R","startDateTime":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T17:30:00.000Z","startTime":"08:30","endTime":"09:30","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442223920001c4Dh","hash":"9ddc33ff79ab45d85f7c16453b6f5703","shortId":"AIM401-R","title":"Agents that train themselves: autonomous reinforcement learning on AWS","abstract":"Can an AI agent teach itself to land a spacecraft? In this hands-on Builders' session you hand a Strands agent one goal: land the lunar lander gently. Then you watch it write its own reward, run reinforcement learning, and grade the result, looping until it sticks the landing. You'll catch it cheating, then watch it diagnose and fix its reward. When a run stalls, you fan out parallel agents and let a sealed judge crown the winner before shipping it to Amazon Bedrock AgentCore. Give an agent a goal and a judge it can't game, and it trains itself.","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025471579001Cb61","lastModified":"2026-11-04T22:18:35Z","speakers":[{"id":"1756396912790001xtrj_17746331reinvent2026","displayName":"Arron Bailiss","name":"Arron Bailiss","firstName":"Arron","lastName":"Bailiss","company":"Amazon Web Services"},{"id":"1789402258268001uDmZ_17746331reinvent2026","displayName":"Rachit Mehta","name":"Rachit Mehta","firstName":"Rachit","lastName":"Mehta","company":"Amazon"},{"id":"1790268187496001txFS_17746331reinvent2026","displayName":"Bryan Lu","name":"Bryan Lu","firstName":"Bryan","lastName":"Lu","company":"Amazon Web Services"},{"id":"1788460967594001nu2S_17746331reinvent2026","displayName":"Gautam Sirdeshmukh","name":"Gautam Sirdeshmukh","firstName":"Gautam","lastName":"Sirdeshmukh","company":"AWS Agentic AI"},{"id":"1785197454339001mglk_17746331reinvent2026","displayName":"Patrick Gray","name":"Patrick Gray","firstName":"Patrick","lastName":"Gray","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1790358257392001iv3K","shortId":"AIM401-R1","startDateTime":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358245269001ipnL","hash":"bdc6ec4ae394a4b093ec145e1c4e3d02","shortId":"IND353-R1","title":"Agents under oath: Designing agentic AI to support HIPAA compliance on AWS","abstract":" AI agents in government healthcare don't just query databases. They reason, remember, and act. Each of those capabilities opens a new surface where protected health information (PHI) can leak model responses, persistent memory, tool calls, RAG retrieval, and agent traces. Traditional RBAC and encryption were not built for this. In this chalk talk, we will walk through a real prior authorization determination scenario together, map where PHI bleeds through an ungoverned agent and then redesign the architecture as a group — four trust zones, sixteen controls, all mapped to HIPAA Security Rule safeguards. Come ready to draw and debate. 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In this hands-on workshop, you orchestrate parallel AI agent teams using Amazon Connect Customer. You configure AI agents that fan out across dozens of affected customers at once: rebooking flights, issuing credits, and scheduling callbacks, all while a single human orchestrator monitors progress, approves exceptions, and intervenes only where needed. Walk away with a working parallel orchestration pattern and the configuration to deploy 1-to-many AI response at scale. This is not 1-to-1 AI coaching. 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In this hands-on workshop, you orchestrate parallel AI agent teams using Amazon Connect Customer. You configure AI agents that fan out across dozens of affected customers at once: rebooking flights, issuing credits, and scheduling callbacks, all while a single human orchestrator monitors progress, approves exceptions, and intervenes only where needed. Walk away with a working parallel orchestration pattern and the configuration to deploy 1-to-many AI response at scale. This is not 1-to-1 AI coaching. 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They need AI that works across these groups without compromising data isolation, compliance, or governance. Multi-tenant environments demand security frameworks most AI assistants were not built to meet.\n\nHear from a higher education customer who faced these constraints and displaced their incumbent tool in favor of Amazon Quick's governance-first architecture: tenant-level data isolation, role-based access controls across distinct user populations, and compliance frameworks built for regulated environments. Learn why existing solutions fell short, how Quick's native governance model met their requirements without custom engineering, and what the transition looked like from decision to deployment.","startDateTime":"2026-11-30T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-11-30T18:00:00.000Z","endDateTime":"2026-11-30T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025527875001Cx4d","lastModified":"2026-11-02T19:35:31Z","speakers":[{"id":"1724759034259001HF8R_17746331reinvent2026","displayName":"Mike Westwood","name":"Mike Westwood","firstName":"Mike","lastName":"Westwood","company":"University of Exeter"},{"id":"1727223648857001eTMe_17746331reinvent2026","displayName":"Rima Olinger","name":"Rima Olinger","firstName":"Rima","lastName":"Olinger","company":"AWS"},{"id":"1725408454773001uTvK_17746331reinvent2026","displayName":"Sonali Sahu","name":"Sonali Sahu","firstName":"Sonali","lastName":"Sahu","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Orange Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1790358235843001ieEw","hash":"e0c51beb97864c80dfab17e7ec05563d","shortId":"DAT431-R1","title":"AI-assisted data modeling for Amazon DynamoDB","abstract":"In this session, learn practical Amazon DynamoDB data modeling through an AI-assisted approach. Architect complex data models using sophisticated techniques right inside an AI-powered IDE, then go from modeling to production, building a full-stack, serverless application powered by DynamoDB and other AWS services via a coding agent of choice. Optimize access patterns, leverage secondary indexes, and express application requirements in natural language to generate and refine a complete solution built on DynamoDB. Discover how AI-assisted database design accelerates complex NoSQL decisions at every stage of development. Bring your laptop to participate.","startDateTime":"2026-12-02T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-02T00:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790360385807001AOnx","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1731685433749001hcIv_17746331reinvent2026","displayName":"Kevin Willis","name":"Kevin Willis","firstName":"Kevin","lastName":"Willis","company":"Amazon"},{"id":"1787937041689001GrDx_17746331reinvent2026","displayName":"Keren Tseytlin","name":"Keren Tseytlin","firstName":"Keren","lastName":"Tseytlin","company":"AWS"},{"id":"1725408276202001uItt_17746331reinvent2026","displayName":"Robert McCauley","name":"Robert McCauley","firstName":"Robert","lastName":"McCauley","company":"AWS"},{"id":"1728667234242001yl6v_17746331reinvent2026","displayName":"Greg Krumm","name":"Greg Krumm","firstName":"Greg","lastName":"Krumm","company":"Amazon Web Services"},{"id":"1756397067995001x64l_17746331reinvent2026","displayName":"Lee Hannigan","name":"Lee Hannigan","firstName":"Lee","lastName":"Hannigan","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon DynamoDB"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1790777644561001CUdd","shortId":"DAT431-R2","startDateTime":"2026-12-03T00:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","startTime":"16:00","endTime":"17:00","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}},{"id":"1780442226703001cUz9","shortId":"DAT431-R","startDateTime":"2026-11-30T22:30:00.000Z","endDateTime":"2026-11-30T23:30:00.000Z","startTime":"14:30","endTime":"15:30","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790777644561001CUdd","hash":"ffa060e4a944f9c9bbcdb1bc63fe5499","shortId":"DAT431-R2","title":"AI-assisted data modeling for Amazon DynamoDB","abstract":"In this session, learn practical Amazon DynamoDB data modeling through an AI-assisted approach. 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In this breakout, learn how Cloudability helps teams apply FinOps discipline to AI on AWS by categorizing costs, connecting spend to business goals and identifying waste. Discover how we turn that visibility into action for AI workloads running on Amazon EKS, improving GPU efficiency, Kubernetes workload right-sizing and application performance. Then apply the same cost discipline to Amazon Bedrock, including smarter provisioned throughput decisions, so teams can explain, defend and optimize AI spend. 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This presentation is brought to you by PwC, an AWS Partner.","startDateTime":"2026-12-02T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-02T21:00:00.000Z","endDateTime":"2026-12-02T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025522521001C7qT","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1755620151064001joeS_17746331reinvent2026","displayName":"Mathew Thomas","name":"Mathew Thomas","firstName":"Mathew","lastName":"Thomas","company":"Autodesk, Inc."},{"id":"1760543504419001bU9J_17746331reinvent2026","displayName":"Alex Halper","name":"Alex Halper","firstName":"Alex","lastName":"Halper","company":"PricewaterhouseCoopers LLP"},{"id":"1788365749696001AK0N_17746331reinvent2026","displayName":"Harsha Desai","name":"Harsha Desai","firstName":"Harsha","lastName":"Desai","company":"PepsiCo, Inc."}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780442272894001csYW","hash":"60428ee50b6ef6e02eafd57a6204d029","shortId":"AIM2201-S","title":"AI Transformation: Redesigning How Work Gets Done (sponsored by Lucid Software)","abstract":"Every major technology shift starts the same way. We use new technology to do the old thing. Early factories replaced steam engines with electric motors, but real transformation came when they redesigned the factory around what electricity made possible. We’re doing the same thing with AI. AI transformation isn’t about adding agents to existing workflows. It’s about redesigning how work gets done. That starts with context. In this session, we’ll show how teams can make work visible, give humans and AI a shared understanding of it, redesign workflows around agents, and turn that understanding into action. This presentation is brought to you by Lucid Software, an AWS Partner.","startDateTime":"2026-12-01T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T20:20:00.000Z","endTime":"12:20","sessionTimeId":"1790033123801001qqtz","lastModified":"2026-11-06T01:41:08Z","speakers":[{"id":"1788465107572001YeRu_17746331reinvent2026","displayName":"Birch Eve","name":"Birch Eve","firstName":"Birch","lastName":"Eve","company":"Lucid Software"}],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Business Intelligence"},{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442265869001crXW","hash":"f27638b47550f5f36d5a83a1c7a47554","shortId":"SEC106-S","title":"AI Under Fire: How to Stop AI-Powered Attacks and Secure AI Coding (sponsored by Palo Alto Networks)","abstract":"Frontier AI is transforming cyber threats, acting as a force multiplier across the kill chain. Adversaries leverage AI to scale social engineering, accelerate vulnerability discovery, and iterate malicious code. In this session, we highlight Palo Alto Networks’ approach to securing the frontier, by combining AI-powered Next-Generation Firewalls (NGFW) and Frontier Virtual Patching (FVP) to preemptively block zero days, alongside identity controls and Secure AI Coding to protect developer workflows. Attendees will learn how threat intelligence and proactive defense outpace machine scale adversaries. This presentation is brought to you by Palo Alto Networks, an AWS Partner.","startDateTime":"2026-12-03T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T21:20:00.000Z","endTime":"13:20","sessionTimeId":"1790033121003001qR0Y","lastModified":"2026-11-06T01:41:08Z","speakers":[{"id":"1790902755738001O8zp_17746331reinvent2026","displayName":"Lahary Ravuri","name":"Lahary Ravuri","firstName":"Lahary","lastName":"Ravuri","company":"Palo Alto Networks"},{"id":"1790902716866001NDMe_17746331reinvent2026","displayName":"Andy Piazza","name":"Andy Piazza","firstName":"Andy","lastName":"Piazza","company":"Palo Alto Networks"}],"venueRoomName":"Level 2 | Hall B | Expo | Builder Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Threat Intelligence"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442262374001ccMP","hash":"b85aa9d78dc1998b31adb265daca3577","shortId":"COM331","title":"AI Writes the Code. Who Reviews the Reviewer?","abstract":"AI coding assistants now write, refactor, and even review code at scale but who's actually accountable when something breaks in production? This session explores how AI has reshaped the code review process: faster first-pass reviews, AI-generated suggestions, and agentic tools running directly in CI/CD pipelines. We'll examine where AI genuinely improves review quality, where it creates false confidence, and why human judgment remains the deciding factor. You'll leave with a practical framework for combining AI speed with human accountability in your own review process.","startDateTime":"2026-12-03T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-03T00:30:00.000Z","endDateTime":"2026-12-03T00:50:00.000Z","endTime":"16:50","sessionTimeId":"1791215674751001Upzd","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1718409354966001zL19_17746331reinvent2026","displayName":"Rossana Suarez","name":"Rossana Suarez","firstName":"Rossana","lastName":"Suarez","company":"Naranjax"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1780442221125001cULv","hash":"15ff43ec13294adedfcd8a2576917b9c","shortId":"SNR303","title":"A leader's guide to advanced teams models in an agentic world","abstract":"Agents made execution cheap. The work did not disappear. It moved into deciding what should exist, checking what agents produce, and owning it when something breaks. Most team designs were not built for that. This session gives you four questions to ask of any piece of work: what is it for, what does it touch, how will we check it, and whose name is on it. Then we walk through the team models leaders reach for, what each gets wrong, and where the pager and the name should sit. You leave knowing who does what now.","startDateTime":"2026-11-30T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790107595869001uiQt","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1727211002078001Il1H_17746331reinvent2026","displayName":"Carrie Wood","name":"Carrie Wood","firstName":"Carrie","lastName":"Wood","company":"Amazon"},{"id":"1724505565696001N4mg_17746331reinvent2026","displayName":"Jonathan Allen","name":"Jonathan Allen","firstName":"Jonathan","lastName":"Allen","company":"AMAZON WEB SERVICES"}],"venueRoomName":"Level 2 | Venetian Theatre","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Monday","type":{"id":"Type","displayName":"Mainstage"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Workforce Development"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Amazon Builds on AWS"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":1000},{"id":"1780442221229001crtG","hash":"c7cc7ed7f665ebd5517036ed26c6980b","shortId":"SNR305","title":"A leader's guide to escaping proof-of-concept purgatory","abstract":"Drawing on 1,000+ customer conversations about building competitive advantage with data and AI, Rahul Pathak, VP of AWS Data & AI GTM, shares what separates organizations getting real value from agentic AI from those stuck in pilots. When everyone has the same models, your data is the only differentiator. Rahul covers how to set goals worth deploying against, why working backwards from outcomes matters, why cross-functional teams outperform centralized AI functions, what governance must exist before agents reach production, not after, and how to create urgency without a mandate. Field notes from 1,000+ rooms, and a playbook for Monday morning. ","startDateTime":"2026-12-01T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790110715496001p5U1","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725566613491001DnGv_17746331reinvent2026","displayName":"Rahul Pathak","name":"Rahul Pathak","firstName":"Rahul","lastName":"Pathak","company":"Amazon Web Services"}],"venueRoomName":"Level 2 | Venetian Theatre","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Mainstage"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":1000},{"id":"1780442221285001cwfU","hash":"1fdc1c3cad14a804cc8744eddd7d9c6e","shortId":"SNR306","title":"A leader’s guide to governing AI, on behalf of humans","abstract":"AI deployments can reason, problem-solve, and act with increasing agency. Leaving governance models built for deterministic software no longer sufficient.\nAWS Executive in Residence Ryan Seaman and Dr. Bernadette Han, organizational psychologist at the American Psychological Association (APA), bring technology and human behavior into one governance conversation. As AI interacts with people, influences decisions, and takes actions, governance must address not only what AI can do, but how it behaves with people and what happens as a result.\nBernadette introduces the EEI-AI Behavioral Architecture™, translating psychological science into behavioral requirements organizations can design for, test, observe, and govern responsibly.","startDateTime":"2026-12-02T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025521900001CQcg","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1760536822398001E8Jn_17746331reinvent2026","displayName":"Ryan Seaman","name":"Ryan Seaman","firstName":"Ryan","lastName":"Seaman","company":"Amazon"},{"id":"1788357696878001zBmu_17746331reinvent2026","displayName":"Dr. Bernadette Han","name":"Dr. Bernadette Han","firstName":"Dr. Bernadette","lastName":"Han","company":"American Psychological Association"}],"venueRoomName":"Level 2 | Venetian Theatre","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Mainstage"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Responsible AI"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":1000},{"id":"1780442221180001cqvF","hash":"9cc453efce51a3612a8f2f19cc92008b","shortId":"SNR304","title":"A leader's guide to how AI is changing Amazon’s ways of working","abstract":"AI is changing how Amazon hires, builds, manages, and deploys teams across every function to innovate and deliver on behalf of customers. This session shares Amazon's emerging framework: the mental models fueling transformation, a state model for understanding where teams are on the AI journey, and real case studies of teams that have crossed from AI-enhanced to AI-native and beyond. We'll walk through the implications, share the questions we're still wrestling with, and offer practical recommendations for leaders navigating the same transition. First-person data from an organization at scale, shared with candor.","startDateTime":"2026-11-30T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-11-30T18:30:00.000Z","endDateTime":"2026-11-30T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790110750986001GE95","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1724455815308001GY1G_17746331reinvent2026","displayName":"Stephen Brozovich","name":"Stephen Brozovich","firstName":"Stephen","lastName":"Brozovich","company":"Amazon Web Services"},{"id":"1727068848663001ShUI_17746331reinvent2026","displayName":"Ian Wilson","name":"Ian Wilson","firstName":"Ian","lastName":"Wilson","company":"Amazon"}],"venueRoomName":"Level 2 | Venetian Theatre","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Monday","type":{"id":"Type","displayName":"Mainstage"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Workforce Development"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Amazon Builds on AWS"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":1000},{"id":"1780442221509001cfDw","hash":"d86e1f892fdabf33a4f9317681d55080","shortId":"SNR308","title":"A leader's guide to how Amazon built its data foundation for agents","abstract":"Organizations racing to put AI agents on top of their data keep hitting the same walls: security, privacy, scale, and data they can't trust. In this session, Anas Fattahi (VP, Amazon Business Data Technologies) and G2 Krishnamoorthy (VP, AWS Databases) share how years of foundational investment positioned Amazon to move quickly when the agentic AI moment arrived, and where the hard problems still live. You'll hear which bets paid off, what's working now, what they're still building, and how to inspect your own setup against what they've learned. ","startDateTime":"2026-12-01T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-01T00:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790110790923001VP7S","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1788357698266001zAuk_17746331reinvent2026","displayName":"Anas Fattahi","name":"Anas Fattahi","firstName":"Anas","lastName":"Fattahi","company":"Amazon"},{"id":"1724777504412001Y0TU_17746331reinvent2026","displayName":"G2 Krishnamoorthy","name":"G2 Krishnamoorthy","firstName":"G2","lastName":"Krishnamoorthy","company":"Amazon"}],"venueRoomName":"Level 2 | Venetian Theatre","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Monday","type":{"id":"Type","displayName":"Mainstage"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Data Protection"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Amazon Builds on AWS"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":1000},{"id":"1783654976747001dKAf","hash":"26b988d0ed1c50c5ac28297e094451fb","shortId":"SNR315","title":"A leader's guide to modernizing systems for AI, with AI","abstract":"Every enterprise faces the same sequencing problem: \"Before we can deploy AI, we need to fix our legacy systems.\" This is technology's most expensive false binary. Organizations that made real progress rejected that sequence. They use AI to understand undocumented code, decompose monoliths, and rebuild the very systems blocking deployment. One airline uses AI to comprehend reservation logic only three people understand. Another enterprise uses agents to reverse-engineer decades of business rules into microservices. The recursive unlock: the technology you want to deploy removes what blocks it. This session covers the funding, sequencing, and organizational decisions that make it work.","startDateTime":"2026-11-30T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-11-30T21:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790107557916001KLbF","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1724486035297001H75k_17746331reinvent2026","displayName":"Matthias Patzak","name":"Matthias Patzak","firstName":"Matthias","lastName":"Patzak","company":"Amazon Web Services"},{"id":"1725645985402001owwt_17746331reinvent2026","displayName":"Sree Ratnasinghe","name":"Sree Ratnasinghe","firstName":"Sree","lastName":"Ratnasinghe","company":"Amazon Web services"}],"venueRoomName":"Level 2 | Venetian Theatre","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Monday","type":{"id":"Type","displayName":"Mainstage"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":1000},{"id":"1783654976546001dEAE","hash":"a32ea2ce56aa3239bef833c654434757","shortId":"SNR316","title":"A leader's guide to moving from AI investment gridlock to acceleration","abstract":"Fund the platform or the use case? Demand proof before investing, or invest to generate the proof? These decisions determine whether AI compounds or stalls, and can't wait for the annual budget cycle. To move at the pace of AI, the CIO and CFO must be in lockstep. Two former operators share how the best pairs manage AI like a venture portfolio: bets in the face of uncertainty, recycling of wins into the next ones, and governance that scales across the portfolio rather than project by project — plus the key questions every pair should answer before their next AI investment.","startDateTime":"2026-12-02T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-02T00:30:00.000Z","endDateTime":"2026-12-02T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025506683001CpQY","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1724533107769001nJWp_17746331reinvent2026","displayName":"Chris Hennesey","name":"Chris Hennesey","firstName":"Chris","lastName":"Hennesey","company":"AWS"},{"id":"1778584476968001Gxdh_17746331reinvent2026","displayName":"Paul Krebs","name":"Paul Krebs","firstName":"Paul","lastName":"Krebs","company":"AWS"}],"venueRoomName":"Level 2 | Venetian Theatre","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Mainstage"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Management & Governance"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":1000},{"id":"1780442221009001cooY","hash":"f57e946f6600b20f92a9d6ab8c66face","shortId":"SNR301","title":"A leader's guide to predicting and proving AI value","abstract":"Every organization faces the same AI questions: How do we predict and manage costs? How do we prove value when outcomes are hard to measure? How do we move fast without losing control? Two finance leaders, one advising enterprise executives and one managing AI economics at scale inside Amazon, share what is working, what is not, and where teams go wrong. Learn how to measure AI cost and value in terms finance and technology leaders agree on, which guardrails to set as investment grows, and how to make the case for AI value to your board.","startDateTime":"2026-11-30T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-11-30T20:00:00.000Z","endDateTime":"2026-11-30T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790110823016001cVt9","lastModified":"2026-11-06T15:56:54Z","speakers":[{"id":"1724533107769001nJWp_17746331reinvent2026","displayName":"Chris Hennesey","name":"Chris Hennesey","firstName":"Chris","lastName":"Hennesey","company":"AWS"},{"id":"1757363343382001ERiR_17746331reinvent2026","displayName":"Lindsey Drake","name":"Lindsey Drake","firstName":"Lindsey","lastName":"Drake","company":"Amazon"}],"venueRoomName":"Level 2 | Venetian Theatre","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Monday","type":{"id":"Type","displayName":"Mainstage"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Amazon Builds on AWS"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":1000},{"id":"1783654976655001dJjp","hash":"31fcda36ef2bf77cd4a0c6471329eacf","shortId":"SNR318","title":"A leader's guide to reimagining complex business processes with agents","abstract":"Most enterprises use AI as an assistant, automating individual tasks for incremental 20% gains. The leaders unlocking profound productivity gains are doing something different: reimagining entire business processes from the outcome backward, so every step hands forward context, confidence, and decision authority, not just data. This session shows what it takes to transform your most strategic operations with agentic AI and scale them, then Thomson Reuters walks through the lessons of rebuilding its M&A process end-to-end. You leave knowing which processes to reimagine and how to move them into production, where value compounds. ","startDateTime":"2026-12-03T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-03T00:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790110678859001vdxh","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1787937207060001Gnfm_17746331reinvent2026","displayName":"Romeo Romeo","name":"Romeo Romeo","firstName":"Romeo","lastName":"Romeo","company":"Thomson Reuters (UK)"},{"id":"1724620833310001RFvU_17746331reinvent2026","displayName":"Helena Yin Koeppl","name":"Helena Yin Koeppl","firstName":"Helena","lastName":"Yin Koeppl","company":"Amazon Web Services"},{"id":"1739790114350001qlbe_17746331reinvent2026","displayName":"Simone Zucchet","name":"Simone Zucchet","firstName":"Simone","lastName":"Zucchet","company":"Amazon Web Services"}],"venueRoomName":"Level 2 | Venetian Theatre","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Mainstage"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Application Integration"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":1000},{"id":"1783654976605001dN80","hash":"5396a4c4e7638a611aca67a6dd938e5b","shortId":"SNR317","title":"A leader's guide to scaling AI adoption without losing control","abstract":"I gave the organization AI tools — why did adoption stall? Most enterprises equip teams with AI and expect transformation to follow. It doesn't. Amazon scaled agentic AI to thousands of production deployments not by mandate, but by investing in what surrounds the model: governance that guards what truly matters — customer trust, privacy, security, and cost — while loosening its grip everywhere else, a culture where experimentation and oversight coexist, and upskilling that turns casual prompters into confident builders. 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The pace of modern development has outgrown point-in-time security reviews, leaving vulnerabilities exploitable longer than any leader should accept. Periodic snapshots cannot keep up when code changes constantly, so security has to become continuous, evaluating posture as the code itself evolves. Amazon used frontier-model capabilities, through Mythos, to make security continuous at its own scale, finding issues and guiding builders to fix them as they work. This session explores that shift. 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Your organization isn't. AI tools accelerate individual teams, but organizational outcomes depend on what happens between teams: coordination, dependencies, and end-to-end value streams that extend far beyond code. Most productivity metrics miss this entirely because they stop at the team boundary. 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The models in production today are the constrained ones, gated by capacity and cost, and that gate is lifting. When it lifts, a dozen breakthrough applications becomes a million, and AI systems get as cheap and as common as a website. Progress has stopped being predictable too: capability arrives in step changes that can obsolete a year of work in a quarter. 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What they said contradicts the prevailing conference narrative. Nobody is running agents autonomously, not one. The most advanced organizations are carrying the most technical debt. The AI generating real value looks nothing like the demos. This session synthesizes the patterns that emerged when executives stopped performing confidence and started sharing reality. 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Participants must bring a laptop for this session.","startDateTime":"2026-11-30T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-11-30T20:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025484426001CMaN","lastModified":"2026-11-02T21:12:46Z","speakers":[{"id":"1725408298065001uRIW_17746331reinvent2026","displayName":"Erick Dame","name":"Erick Dame","firstName":"Erick","lastName":"Dame","company":"AWS"},{"id":"1722532105747001j5IE_17746331reinvent2026","displayName":"Christie Lee","name":"Christie Lee","firstName":"Christie","lastName":"Lee","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":84,"repeats":[{"id":"1790358220174001iWH6","shortId":"STG336-R1","startDateTime":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T18:30:00.000Z","startTime":"08:30","endTime":"10:30","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358220174001iWH6","hash":"3a30893367b204ede561bb48cc836c97","shortId":"STG336-R1","title":"Amazon S3 security: Implementing access controls, policies & audits","abstract":"Amazon S3 provides security settings and granular access controls to suit virtually any workload. 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In this session, learn everything you need to know about S3 Tables, from how we continuously optimize Iceberg tables as your data scales, to support for ingestion, migration, data protection, cost-efficiency, and performance. We’ll explore how S3 Tables make it easy for AI agents to build on Iceberg tables and dive into the latest re:Invent announcements. Hear real-world customer stories and walk away equipped to bring S3 Tables to your organization. ","startDateTime":"2026-12-03T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025537962001CoQj","lastModified":"2026-11-06T00:48:04Z","speakers":[{"id":"1729031670292001rPh8_17746331reinvent2026","displayName":"Abhinav Goyle","name":"Abhinav Goyle","firstName":"Abhinav","lastName":"Goyle","company":"Amazon"},{"id":"1791819801701001dJF2_17746331reinvent2026","displayName":"Amy Yu","name":"Amy Yu","firstName":"Amy","lastName":"Yu","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Open Data"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1793078795272001Kr7e","hash":"e30474a56f3f2af48a54e7d2dc37c660","shortId":"ACT065","title":"Amazon’s World Famous Chicken Wing Eating Competition","abstract":"Join us at re:Play for Amazon's World Famous Chicken Wing Eating Competition, where brave competitors will face off at 6:45 PM. Competitors must register prior at the Attendee Experiences Desk (Venetian | Level 2 | Artist Foyer) to devour as many wings as possible in this epic battle of endurance for a chance at a re:Invent 2027 Ticket. This is one of re:Invent's most memorable and exciting spectacles.","startDateTime":"2026-12-03T14:45:00.000Z","startTime":"06:45","startTimeFormatted":"2026-12-03T14:45:00.000Z","endDateTime":"2026-12-03T15:35:00.000Z","endTime":"07:35","sessionTimeId":"1793316620205001KTlY","lastModified":"2026-10-30T18:36:36Z","speakers":[],"venue":{"id":"Allegiant_Stadium","displayName":"Allegiant Stadium"},"day":"Thursday","type":{"id":"Type","displayName":"Featured experience"},"services":[],"topics":[],"areaOfInterest":[],"industry":[],"role":[],"features":[],"seatCapacity":0},{"id":"1780442233502001cwSj","hash":"fa5428faf5e95237a8fcfe77683921fc","shortId":"ARC324","title":"Ambient accessibility: Architecting real-time ASL on a Wearable","abstract":"What if a DHH person could wear a device and get sign language translation of every conversation around them in under a second? We architect a pipeline that ingests Amazon Bee's ambient audio, transcribes it, transforms English to ASL grammar, generates avatar animations, and streams signed video back. That one-second constraint drives every architectural tradeoff, from whether translation stages run on-device for speed or in the cloud for accuracy, to whether we sign full sentences or start mid-utterance with partial context. We explore the edge-cloud splits and pipeline staging that make sub-second delivery feasible.","startDateTime":"2026-11-30T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025492382001Cfge","lastModified":"2026-11-04T18:46:48Z","speakers":[{"id":"1725408380036001uhqh_17746331reinvent2026","displayName":"Suresh Poopandi","name":"Suresh Poopandi","firstName":"Suresh","lastName":"Poopandi","company":"Amazon Web Services"},{"id":"1725408396880001ulid_17746331reinvent2026","displayName":"Alak Eswaradass","name":"Alak Eswaradass","firstName":"Alak","lastName":"Eswaradass","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Transcribe"},{"id":"Services","displayName":"AWS Lambda"}],"topics":[{"id":"Topic","displayName":"Architecture"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Edge Computing"},{"id":"AreaofInterest","displayName":"Internet of Things"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780442282342001cISn","hash":"4e71d20bc9d9d1b1585e110fb2a3c030","shortId":"MAM323-R","title":"Analyze your portfolio, prioritize what to fix, and transform it","abstract":"You know your portfolio needs modernization, but which apps go first, and based on what criteria? In this workshop, you'll run the full analyze-prioritize-transform cycle end to end. Using AWS Transform's Agentic Readiness Analysis and Modernization Analysis, you'll evaluate applications from two angles: whether agents can safely reach your logic (API exposure, identity, state, guardrails, observability) and how cloud-native mature your architecture is (compute, data, security, operations). You'll interpret scores, scale across a portfolio with the orchestrator, then close the loop by triggering a containerization transformation on the app that needs it most. Laptop required.","startDateTime":"2026-12-02T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025525783001CG3A","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408316837001uZqs_17746331reinvent2026","displayName":"Lucas Soriano Alves Duarte","name":"Lucas Soriano Alves Duarte","firstName":"Lucas Soriano","lastName":"Alves Duarte","company":"AWS"},{"id":"1737470399811001aPxK_17746331reinvent2026","displayName":"Manmohit Pal Singh","name":"Manmohit Pal Singh","firstName":"Manmohit","lastName":"Pal Singh","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Transform"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":85,"repeats":[{"id":"1790358251900001i6hN","shortId":"MAM323-R1","startDateTime":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","startTime":"15:00","endTime":"17:00","day":"Tuesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358251900001i6hN","hash":"ca623c21e87a8ef11eba1e19f463fe99","shortId":"MAM323-R1","title":"Analyze your portfolio, prioritize what to fix, and transform it","abstract":"You know your portfolio needs modernization, but which apps go first, and based on what criteria? In this workshop, you'll run the full analyze-prioritize-transform cycle end to end. Using AWS Transform's Agentic Readiness Analysis and Modernization Analysis, you'll evaluate applications from two angles: whether agents can safely reach your logic (API exposure, identity, state, guardrails, observability) and how cloud-native mature your architecture is (compute, data, security, operations). You'll interpret scores, scale across a portfolio with the orchestrator, then close the loop by triggering a containerization transformation on the app that needs it most. Laptop required.","startDateTime":"2026-12-01T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790360402357001ApjQ","lastModified":"2026-11-04T23:09:24Z","speakers":[{"id":"1725408316837001uZqs_17746331reinvent2026","displayName":"Lucas Soriano Alves Duarte","name":"Lucas Soriano Alves Duarte","firstName":"Lucas Soriano","lastName":"Alves Duarte","company":"AWS"},{"id":"1737470399811001aPxK_17746331reinvent2026","displayName":"Manmohit Pal Singh","name":"Manmohit Pal Singh","firstName":"Manmohit","lastName":"Pal Singh","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Transform"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140,"repeats":[{"id":"1780442282342001cISn","shortId":"MAM323-R","startDateTime":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","startTime":"15:00","endTime":"17:00","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780441477430001GdX8","hash":"518a275ca380068ffe36126ba94029e5","shortId":"IND383","title":"An Epic Tale: Hyperscale Storage & Compute for the Fortnite Ecosystem","abstract":"The metaverse will not be built by one studio. It will be built by thousands of teams shipping petabytes of content, running millions of build and render jobs across regions every day. The engineers behind Lore, Epic's distributed version control system for massive binary repositories, and Overmind, a multi-region ephemeral compute orchestrator, reveal the AWS architecture that makes it possible: self-managed scheduling on EC2, S3/DynamoDB/Keyspaces/Aurora for the data plane, EKS-hosted control planes running durable workflows, and MSK for replayable event streams. Leave with a concrete reference architecture and lessons on tenant isolation, regional sovereignty, and global platform scale.","startDateTime":"2026-12-02T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025515927001C4yW","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1772581549665001EY2g_17746331reinvent2026","displayName":"Dan Backhaus","name":"Dan Backhaus","firstName":"Dan","lastName":"Backhaus","company":"AWS"},{"id":"1730762904016001QbIW_17746331reinvent2026","displayName":"Paul Sharpe","name":"Paul Sharpe","firstName":"Paul","lastName":"Sharpe","company":"Epic Games, Inc."},{"id":"1726167145868001X7e4_17746331reinvent2026","displayName":"Mattias Jansson","name":"Mattias Jansson","firstName":"Mattias","lastName":"Jansson","company":"Epic Games, Inc."}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Orange Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"Customer Enablement"}],"industry":[{"id":"Industry","displayName":"Games"}],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780441468887001GgXR","hash":"56fb89eb69fa313e91b1331e61df10b1","shortId":"DAT414","title":"An insider’s look into architecture choices for Amazon DynamoDB","abstract":"To overcome the performance and scale limitations of relational databases, AWS built Amazon DynamoDB to deliver single-digit millisecond performance at any scale - whether your application has tens of thousands or hundreds of millions of simultaneous users - for the most demanding applications on the planet. In this session, learn how some basic data structure decisions led to these characteristics. And how those same decisions provide immutable, point-in-time restore. Leave with a better understanding of why DynamoDB can operate at the scale it does, and a framework on how to use it for decisions in your own applications.","startDateTime":"2026-12-02T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-02T17:00:00.000Z","endDateTime":"2026-12-02T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025514255001COvk","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1757468128415001Rwh0_17746331reinvent2026","displayName":"Craig Howard","name":"Craig Howard","firstName":"Craig","lastName":"Howard","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon DynamoDB"}],"topics":[{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":256},{"id":"1780442254916001cDlq","hash":"bcc7efbb33aeb6beacb2483ca969c0f3","shortId":"COM327","title":"Answering CX questions 10x faster with Amazon Connect Customer and Amazon Quick","abstract":"Amazon Connect Customer generates a deep set of signals from every customer interaction. Sentiment, intent, conversation analytics, resolution outcomes. It's all there and Connect Customer gives you built-in tools to explore it. But we wanted to go further. We wanted anyone in the organization to ask questions about customer interactions in plain language and get answers instantly. So we paired Connect Customer's analytics data lake with Amazon Quick. In this session, we walk through how we did it, including how we handled cross-account Lake Formation access, and show how our broader team now asks questions and reshapes queries on the fly. 10x faster from question to action.","startDateTime":"2026-12-04T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-04T00:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025550462001CuNw","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1751592989543001aKb2_17746331reinvent2026","displayName":"Kobe Xu","name":"Kobe Xu","firstName":"Kobe","lastName":"Xu","company":"Deloitte"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Connect"},{"id":"Services","displayName":"Amazon QuickSight"},{"id":"Services","displayName":"AWS Lake Formation"}],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Advisor / Consultant"},{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Community-led"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":66},{"id":"1780442263672001cQ9j","hash":"c92f7035a6dfb5becfda153a651ced08","shortId":"IND3344","title":"Aon: Turning raw exposure data into faster underwriting","abstract":"Insurers and brokers process thousands of Statements of Values annually, complex unstructured documents that require manual extraction and validation and delay quoting and bind decisions. In this lightning talk, learn how Aon built an AI-powered exposure data ingestion platform on Amazon Bedrock using Anthropic Claude, AWS Lambda, and Amazon S3. See how the platform transforms unstructured data into standardized, risk-ready information with improved address quality, geocoding precision, and hazard identification, reducing document processing from days to minutes and feeding higher-quality inputs to catastrophe models.","startDateTime":"2026-12-03T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-03T00:30:00.000Z","endDateTime":"2026-12-03T00:50:00.000Z","endTime":"16:50","sessionTimeId":"1790033122749001qV9E","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1727457446403001cT2N_17746331reinvent2026","displayName":"Hasan Mehdi Rizvi","name":"Hasan Mehdi Rizvi","firstName":"Hasan","lastName":"Mehdi Rizvi","company":"AWS"},{"id":"1732309440392001NWIZ_17746331reinvent2026","displayName":"Sudipto Dasgupta","name":"Sudipto Dasgupta","firstName":"Sudipto","lastName":"Dasgupta","company":"Aon"}],"venueRoomName":"Level 2 | Hall B | Expo | Industry Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"},{"id":"Services","displayName":"AWS Lambda"}],"topics":[{"id":"Topic","displayName":"Application Integration"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442232339001cpWC","hash":"e3d0b43988a859f1b5185735e1ffa7f0","shortId":"ANT412","title":"Apache Iceberg V3 on AWS: Lower Costs, Better Lakehouse Performance","abstract":"Apache Iceberg V3  is now production-ready, and adopting deletion vectors, row lineage, and new  data types across your lakehouse requires careful planning. In this session,  explore implementation patterns using Amazon EMR, AWS Glue, Amazon Athena,  and Amazon S3 Tables. Learn when deletion vectors outperform copy-on-write,  how row lineage enables compliance without extra pipelines, and how V3  incremental processing cuts batch costs. 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Hear from a customer running production workloads on EVS and leave with actionable architectures tailored to your VMware workloads.","startDateTime":"2026-11-30T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-11-30T22:30:00.000Z","endDateTime":"2026-11-30T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025491078001Ccpc","lastModified":"2026-11-04T21:02:29Z","speakers":[{"id":"1725408490367001uusN_17746331reinvent2026","displayName":"Ben Lipman","name":"Ben Lipman","firstName":"Ben","lastName":"Lipman","company":"AWS"},{"id":"1728079723068001BbzK_17746331reinvent2026","displayName":"Talha Kalim","name":"Talha Kalim","firstName":"Talha","lastName":"Kalim","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon FSx for NetApp ONTAP"},{"id":"Services","displayName":"Amazon Virtual Private Cloud (Amazon VPC)"},{"id":"Services","displayName":"Amazon Elastic VMware Service (EVS)"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"VMware"},{"id":"AreaofInterest","displayName":"Well-Architected Framework"}],"industry":[],"role":[{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70},{"id":"1780442235239001cwpl","hash":"dd318c39568da84b2afb027d42c8bf24","shortId":"AIM364-R","title":"Architect for production AI: A decision framework that scales","abstract":"Organizations deploying AI workloads face a critical decision at every step: which AI service handles which job, and will it hold up at scale? This chalk talk delivers an opinionated framework for choosing between Amazon Bedrock and Amazon SageMaker AI, and when to use them together. We'll ground it in a real example: an agentic coding system pairing a Bedrock frontier model for complex coding with a fine-tuned open weight model on SageMaker AI for high-volume automated PR reviews. It runs on AgentCore, which supports any model or provider mix, including Bedrock and SageMaker AI, for cost- and performance-optimized architectures.","startDateTime":"2026-12-01T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025504943001Cc3H","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1758084671754001sDzK_17746331reinvent2026","displayName":"Brent Rabowsky","name":"Brent Rabowsky","firstName":"Brent","lastName":"Rabowsky","company":"AWS"},{"id":"1760632852549001QBBj_17746331reinvent2026","displayName":"Hazim Qudah","name":"Hazim Qudah","firstName":"Hazim","lastName":"Qudah","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Trainium"},{"id":"Services","displayName":"Amazon SageMaker AI"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1790358253762001ipFy","shortId":"AIM364-R1","startDateTime":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358253762001ipFy","hash":"ba26e13af7710190bf3b3af300ee68e7","shortId":"AIM364-R1","title":"Architect for production AI: A decision framework that scales","abstract":"Organizations deploying AI workloads face a critical decision at every step: which AI service handles which job, and will it hold up at scale? This chalk talk delivers an opinionated framework for choosing between Amazon Bedrock and Amazon SageMaker AI, and when to use them together. We'll ground it in a real example: an agentic coding system pairing a Bedrock frontier model for complex coding with a fine-tuned open weight model on SageMaker AI for high-volume automated PR reviews. It runs on AgentCore, which supports any model or provider mix, including Bedrock and SageMaker AI, for cost- and performance-optimized architectures.","startDateTime":"2026-12-02T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790360399106001AmOx","lastModified":"2026-11-03T21:50:39Z","speakers":[{"id":"1760632852549001QBBj_17746331reinvent2026","displayName":"Hazim Qudah","name":"Hazim Qudah","firstName":"Hazim","lastName":"Qudah","company":"AWS"},{"id":"1758084671754001sDzK_17746331reinvent2026","displayName":"Brent Rabowsky","name":"Brent Rabowsky","firstName":"Brent","lastName":"Rabowsky","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Trainium"},{"id":"Services","displayName":"Amazon SageMaker AI"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780442235239001cwpl","shortId":"AIM364-R","startDateTime":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Tuesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442247717001cb6T","hash":"ee408700cce5f94bfbdafcf6f1c444f4","shortId":"NET318","title":"Architecting anti-piracy defenses for video streaming with Amazon CloudFront","abstract":"Modern streaming demands instant revocation, concurrent stream limits, device-bound sessions, and per-user policy decisions at the edge. In this chalk talk, whiteboard the full decision space with us. We'll map the trade-offs between signed URLs, signed cookies, and emerging token approaches like Content Access Tokens (CAT) built on CBOR Web Tokens, then diagram the architecture patterns behind them: embedding custom claims and evaluating them in CloudFront Functions, using CloudFront KeyValueStore for real-time revocation without key rotation, and chaining tokens across HLS/DASH segments. Bring your hardest content protection scenarios, such as credential sharing, restreaming, geo abuse. We'll work through them together at the board, leaving you with a framework for matching protection mechanisms to your security and business requirements.","startDateTime":"2026-12-03T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-03T22:30:00.000Z","endDateTime":"2026-12-03T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025547165001Cak2","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1731942806444001db3X_17746331reinvent2026","displayName":"Matt Carter","name":"Matt Carter","firstName":"Matt","lastName":"Carter","company":"AWS"},{"id":"1736398645601001yg36_17746331reinvent2026","displayName":"Christer Christer","name":"Christer Christer","firstName":"Christer","lastName":"Christer","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon CloudFront"}],"topics":[{"id":"Topic","displayName":"Networking & Content Delivery"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Edge Computing"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82},{"id":"1780441500283001GvXe","hash":"419fecbd087af08aa5b067b4ecb66ae4","shortId":"HMC311","title":"Architecting AWS Outposts networking for enterprise and ultra-low-latency workloads","abstract":"This session covers networking on second-generation AWS Outposts, spanning scalable multi-site topologies and ultra-low-latency bare-metal deployments. Learn how the second-generation dedicated network rack, local gateway routing domains, and intra-VPC and inter-VPC communication form the foundation for segmentation and local connectivity. See how the design extends to multi-site interconnections spanning Outposts and AWS Local Zones, extended VPC designs, and resilient architectures grounded in AWS Well-Architected principles. Explore how bare-metal instances with high-throughput accelerated networking and rack topology support co-located workloads where every microsecond matters.","startDateTime":"2026-11-30T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025493271001CeV4","lastModified":"2026-11-06T13:59:31Z","speakers":[{"id":"1725408487115001uiah_17746331reinvent2026","displayName":"Harsha Sanku","name":"Harsha Sanku","firstName":"Harsha","lastName":"Sanku","company":"Amazon Web Services"},{"id":"1725566511400001SU6W_17746331reinvent2026","displayName":"Leonardo Solano","name":"Leonardo Solano","firstName":"Leonardo","lastName":"Solano","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Outposts"}],"topics":[{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Well-Architected Framework"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780442263016001cU90","hash":"9506a4e76f58dbf2787cdf4bc2d4fc5c","shortId":"COM346","title":"Architecting Enterprise Agents on Bedrock","abstract":"Enterprise agents on Amazon Bedrock are complex distributed systems, combining models, tools, memory, and orchestration into something that has to behave predictably in production. In this session, I walk through practical architecture patterns for building enterprise-grade agents: multi-agent coordination, tool routing, session management, and hybrid workflows using AWS Step Functions and AWS Lambda. Drawing from real production systems, I cover the trade-offs that matter most when moving agents from prototype to production, where reliability and scale actually get tested. Walk away with concrete patterns you can bring back to your own agent architecture.","startDateTime":"2026-12-03T01:00:00.000Z","startTime":"17:00","startTimeFormatted":"2026-12-03T01:00:00.000Z","endDateTime":"2026-12-03T01:20:00.000Z","endTime":"17:20","sessionTimeId":"1791216240229001bMYl","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1719082598315001RIW6_17746331reinvent2026","displayName":"Namrata Shah","name":"Namrata Shah","firstName":"Namrata","lastName":"Shah","company":"Teachers Insurance and Annuity Association - (TIAA-CREF)"},{"id":"1725416489005001pnMM_17746331reinvent2026","displayName":"Ellliott Cordo","name":"Ellliott Cordo","firstName":"Ellliott","lastName":"Cordo","company":"Data Futures Inc."}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Lambda"},{"id":"Services","displayName":"AWS Step Functions"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1780442249651001cf0K","hash":"e946210ab982601a416e0ce5d56e9089","shortId":"SEC368","title":"Architecting firewalls on AWS: a layered defense strategy","abstract":"With automated traffic now more than half of the web, a single firewall layer can't separate good bots from L7 attacks. This chalk talk covers how AWS WAF and AWS Network Firewall work together. We cover deployment patterns for internet-facing apps, outbound controls, and workload segmentation, including firewall patterns attached to AWS Transit Gateway. Then we dig into the tradeoffs, including centralized versus distributed inspection, cost versus latency, and when one service can carry the load and when you need both. Bring your architecture diagrams, and we whiteboard a design for your environment.","startDateTime":"2026-12-03T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-03T17:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025534128001CvUL","lastModified":"2026-11-06T07:26:32Z","speakers":[{"id":"1724949732100001Kfk6_17746331reinvent2026","displayName":"Jonathan Woods","name":"Jonathan Woods","firstName":"Jonathan","lastName":"Woods","company":"Amazon Web Services (AWS)"},{"id":"1725408451487001uPIQ_17746331reinvent2026","displayName":"Patrick Duffy","name":"Patrick Duffy","firstName":"Patrick","lastName":"Duffy","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Route 53"},{"id":"Services","displayName":"AWS Network Firewall"},{"id":"Services","displayName":"AWS WAF"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Well-Architected Framework"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":96},{"id":"1780441500395001GnUf","hash":"00b85aba1648d5e6b028ba8d09a02471","shortId":"HMC314","title":"Architecting for digital sovereignty with AWS Hybrid Cloud solutions","abstract":"This session uses real-world case studies to understand how AWS hybrid cloud architectures such as AWS Local Zones, AWS Dedicated Local Zones, and AWS Outposts help customers meet their digital sovereignty needs. It examines data residency boundaries, network separation, operational controls, and security guardrail options available in hybrid cloud solutions. It then shows how to configure governance controls, including Service Control Policies (SCPs), to help customers comply with regulatory requirements. Finally, it covers how to detect and prevent unauthorized data flows between hybrid infrastructure and the parent Region.","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025512626001CrMb","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726012412494001gnM4_17746331reinvent2026","displayName":"Sherry Lin","name":"Sherry Lin","firstName":"Sherry","lastName":"Lin","company":"Amazon"},{"id":"1725408487824001uByE_17746331reinvent2026","displayName":"Lakshmi VP","name":"Lakshmi VP","firstName":"Lakshmi","lastName":"VP","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Outposts"},{"id":"Services","displayName":"AWS Dedicated Local Zones"}],"topics":[{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Digital Sovereignty"},{"id":"AreaofInterest","displayName":"Edge Computing"},{"id":"AreaofInterest","displayName":"Global Infrastructure"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":94},{"id":"1780441485988001Gs2V","hash":"26b92c033bbda7d6ebb3042eaa814391","shortId":"ARC337-S","title":"Architecting for five nines with multi-region: Capital One’s journey (sponsored by Capital One)","abstract":"Five nines of availability leaves an annual downtime budget of just 5.2 minutes, meaning a single regional failover can consume your entire year. Traditional disaster recovery models simply don't scale to meet this standard. In this session, discover how Capital One evolved its multi-region architectures to sustain regional outages while supporting critical production workloads. We share lessons learned from building and operating active-active topologies, focusing on real-world data consistency models, fault isolation via cell-based architecture, and continuous fault-injection testing. Attendees will walk away with a field-tested matrix for architecting high-availability cloud workloads. This presentation is brought to you by Capital One, an AWS Partner.","startDateTime":"2026-12-01T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-01T22:30:00.000Z","endDateTime":"2026-12-01T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025506191001CBFb","lastModified":"2026-11-02T19:35:31Z","speakers":[{"id":"1782183090754001OnEg_17746331reinvent2026","displayName":"Mats Lannér","name":"Mats Lannér","firstName":"Mats","lastName":"Lannér","company":"Capital One Financial Corporation"},{"id":"1754063395411001ON9J_17746331reinvent2026","displayName":"Prem Dhayalan","name":"Prem Dhayalan","firstName":"Prem","lastName":"Dhayalan","company":"Capitalone Bank"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Application Integration"},{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"Resilience"},{"id":"AreaofInterest","displayName":"Well-Architected Framework"}],"industry":[],"role":[{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780441463028001GEdS","hash":"edb77bf5cf955214c3286ef8099b1fa7","shortId":"ARC306","title":"Architecting for non-deterministic components","abstract":"Our systems used to behave the same way every time. Now we give them judgment and agency, so they decide and act on their own, and the same inputs can produce different outcomes. Designing reliable architectures around that non-determinism comes down to three questions: where to enforce determinism around the model, when to verify behavior through automated evaluation and reasoning versus human judgment, and how to adapt the patterns (event flows, orchestration, automation) for components that don’t behave predictably. This session presents the design patterns for building systems that decide and act, while preserving the reliability your architecture depends on.","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025512008001ClUQ","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408418628001ua4g_17746331reinvent2026","displayName":"Kunle Adeleke","name":"Kunle Adeleke","firstName":"Kunle","lastName":"Adeleke","company":"AWS"},{"id":"1725230593728001VVPq_17746331reinvent2026","displayName":"John Walker","name":"John Walker","firstName":"John","lastName":"Walker","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":278},{"id":"1780442233766001chBz","hash":"2ab7fff5c11ee26c32b36c24b82122e7","shortId":"ARC318-R","title":"Architecting for resilience and data residency","abstract":"Your data can't leave the jurisdiction, but your workload still has to survive a Region degradation. This chalk talk explores architecture patterns that address both resilience and data residency together. We break the challenge into practical layers: where data lives, how workloads recover, what isolation looks like, and how to maintain business continuity across geographic boundaries. We map each layer to AWS capabilities including Dedicated Local Zones, Outposts, and policy controls, then work through real scenarios together. 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In this session, learn how AWS Glue Data Catalog serves as a single metadata hub that connects all of your data, enforces consistent governance across it, and makes it discoverable across engines and teams. See how to enrich, curate, and share metadata at scale, and give AI agents the context they need to get work done accurately and efficiently. 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Your agents can handle most requests correctly and still fail when someone asks how a decision was made, who approved it, or how to override it. In this hands-on workshop, you inherit a multi-agent claims system seeded with responsible AI gaps. Using the Well-Architected Responsible AI governance skill in your IDE, you audit the code against responsible AI dimensions like fairness, transparency, and accountability, investigate what you find, fix it, and generate an evidence-backed report. Walk away with a repeatable audit workflow you can run on your own agentic systems.","startDateTime":"2026-12-02T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790360394025001A39d","lastModified":"2026-11-03T05:11:23Z","speakers":[{"id":"1725408431752001uqo1_17746331reinvent2026","displayName":"Rachna Chadha","name":"Rachna Chadha","firstName":"Rachna","lastName":"Chadha","company":"AWS"},{"id":"1731474755863001l4Mj_17746331reinvent2026","displayName":"Isha Dalal","name":"Isha Dalal","firstName":"Isha","lastName":"Dalal","company":"Amazon"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Responsible AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":84,"repeats":[{"id":"1780442276090001cWPW","shortId":"AIM336-R","startDateTime":"2026-11-30T20:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","startTime":"12:30","endTime":"14:30","day":"Monday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442276090001cWPW","hash":"4fb18ea28d47c797fe9258f623335658","shortId":"AIM336-R","title":"A responsible AI challenge: Audit your agentic AI before the regulator does","abstract":"Accuracy is necessary, but it isn't enough for agentic systems. Your agents can handle most requests correctly and still fail when someone asks how a decision was made, who approved it, or how to override it. In this hands-on workshop, you inherit a multi-agent claims system seeded with responsible AI gaps. Using the Well-Architected Responsible AI governance skill in your IDE, you audit the code against responsible AI dimensions like fairness, transparency, and accountability, investigate what you find, fix it, and generate an evidence-backed report. 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Walk-ups welcome.","startDateTime":"2026-12-03T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-03T17:00:00.000Z","endDateTime":"2026-12-03T20:00:00.000Z","endTime":"12:00","sessionTimeId":"1790023932369001V4yl","lastModified":"2026-11-06T13:30:57Z","speakers":[{"id":"1770343621168001tELR_17746331reinvent2026","displayName":"Emma Higashikawa","name":"Emma Higashikawa","firstName":"Emma","lastName":"Higashikawa","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Gamified learning"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":176},{"id":"1780442259343001c2uM","hash":"2504b4c63e193e3faa2a9c9747d080f1","shortId":"GHJ307-S","title":"AWS GameDay - Cybersecurity & Threat Detection ft. 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Walk-ups welcome.","startDateTime":"2026-12-02T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-02T17:00:00.000Z","endDateTime":"2026-12-02T20:00:00.000Z","endTime":"12:00","sessionTimeId":"1790023647816001Cpjh","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1755750204140001cDm5_17746331reinvent2026","displayName":"Lorenzo Ciaravola","name":"Lorenzo Ciaravola","firstName":"Lorenzo","lastName":"Ciaravola","company":"Amazon"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Gamified learning"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Threat Intelligence"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Hands-on"}],"seatCapacity":176},{"id":"1780442259094001c08y","hash":"308b648b5517a3bcd523dae8b09b2421","shortId":"GHJ303-S","title":"AWS GameDay - Developer Productivity & DevOps ft. 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Walk-ups welcome.","startDateTime":"2026-12-02T22:00:00.000Z","startTime":"14:00","startTimeFormatted":"2026-12-02T22:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790023701649001fdAm","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1724939679986001xHdx_17746331reinvent2026","displayName":"Maya Flores","name":"Maya Flores","firstName":"Maya","lastName":"Flores","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Gamified learning"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Hands-on"}],"seatCapacity":176},{"id":"1780442259176001ctfk","hash":"35ad0ca632b2f4b1ed6e2b3abbe6aaaf","shortId":"GHJ304-S","title":"AWS GameDay - Platform Engineering & Cloud-Native Architecture ft. 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Walk-ups welcome.","startDateTime":"2026-11-30T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-11-30T17:00:00.000Z","endDateTime":"2026-11-30T20:00:00.000Z","endTime":"12:00","sessionTimeId":"1790019733181001VssG","lastModified":"2026-11-03T22:12:25Z","speakers":[{"id":"1739891416814001ZLWo_17746331reinvent2026","displayName":"Joseph O'Such","name":"Joseph O'Such","firstName":"Joseph","lastName":"O'Such","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Gamified learning"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Hands-on"}],"seatCapacity":176},{"id":"1780442259029001c3V0","hash":"4b415837167c719205e9b7503bf60ff9","shortId":"GHJ302-S","title":"AWS GameDay - Resilience & Disaster Recovery ft. 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Walk-ups welcome.","startDateTime":"2026-12-01T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-01T17:00:00.000Z","endDateTime":"2026-12-01T20:00:00.000Z","endTime":"12:00","sessionTimeId":"1790020553530001FH9B","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1724939679986001xHdx_17746331reinvent2026","displayName":"Maya Flores","name":"Maya Flores","firstName":"Maya","lastName":"Flores","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Gamified learning"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Security & Identity"},{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Data Protection"},{"id":"AreaofInterest","displayName":"Disaster Response & Recovery"},{"id":"AreaofInterest","displayName":"Resilience"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Hands-on"}],"seatCapacity":176},{"id":"1780442259286001cqyL","hash":"580828a8396d670bacab13a1fda5bb76","shortId":"GHJ306-S","title":"AWS GameDay - Service Reliability & Agentic Remediation ft. 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Walk-ups welcome.","startDateTime":"2026-11-30T22:00:00.000Z","startTime":"14:00","startTimeFormatted":"2026-11-30T22:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790019776245001CUvM","lastModified":"2026-11-04T21:30:18Z","speakers":[{"id":"1724778207559001A2iC_17746331reinvent2026","displayName":"AM Grobelny","name":"AM Grobelny","firstName":"AM","lastName":"Grobelny","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Gamified learning"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Resilience"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Hands-on"}],"seatCapacity":176},{"id":"1780441469921001Ga9f","hash":"b02c9f93fefd1d89721c47b77c757c1e","shortId":"DVT202","title":"AWS infrastructure as code: A year in review","abstract":"Your infrastructure code deserves the same developer experience as your application code. This session recaps what's new for AWS CloudFormation and the AWS CDK: early change-set validation, the CloudFormation Language Server for your IDE, Stack Refactoring without downtime, drift-aware change sets, CDK Mixins for composable abstractions, cross-account output references, and the CDK Toolkit Library. See how these capabilities shorten your dev-test cycle and strengthen deployment safety.","startDateTime":"2026-11-30T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-11-30T19:30:00.000Z","endDateTime":"2026-11-30T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025481171001CxJE","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1758795827933001MGhe_17746331reinvent2026","displayName":"Mark Rambow","name":"Mark Rambow","firstName":"Mark","lastName":"Rambow","company":"Amazon Web Services"},{"id":"1759334178142001hzYj_17746331reinvent2026","displayName":"Aakash Deshpande","name":"Aakash Deshpande","firstName":"Aakash","lastName":"Deshpande","company":"AWS"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Orange Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"AWS Cloud Development Kit (AWS CDK)"},{"id":"Services","displayName":"AWS CloudFormation"}],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780441504426001GiEp","hash":"ff64a431ac667df1156c8ab5c6ac7c92","shortId":"GHJ311","title":"AWS Jam: All-in Builder Showdown","abstract":"Come with your team of 2 or join one on the spot. Compete head-to-head, race the leaderboard, and win prizes. Dive deep into AWS with our All-In session — hands-on environments covering AI-powered solutions, DevOps automation, and cloud security. Explore cutting-edge AI services, streamline deployments, and implement security best practices. Challenges are designed for all skill levels, with helpful clues and AWS expert support throughout. Work solo or as a team on real-world scenarios, expand your AWS expertise, and connect with fellow cloud enthusiasts. All you need: a laptop, curiosity, and a competitive spirit.","startDateTime":"2026-12-03T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790019982541001g2oU","lastModified":"2026-11-03T22:06:21Z","speakers":[{"id":"1728917790483001mWxi_17746331reinvent2026","displayName":"Mohammad Arbabshirani","name":"Mohammad Arbabshirani","firstName":"Mohammad","lastName":"Arbabshirani","company":"AWS"},{"id":"1746576198104001rEJc_17746331reinvent2026","displayName":"Nir Pilo","name":"Nir Pilo","firstName":"Nir","lastName":"Pilo","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Gamified learning"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Kiro"},{"id":"Services","displayName":"Amazon Quick"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":176},{"id":"1780442258818001colI","hash":"1d20ec42ed73f72d547e751d46d94436","shortId":"GHJ317-S","title":"AWS Jam: All-in Builder Showdown - sponsored by Vonage ","abstract":"Come with your team of 2 or join one on the spot. 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VMs isolate well but start slowly. Containers are fast but share a kernel. Functions scale to zero but limit state. Teams close the gaps with isolation logic they build and maintain themselves. Lambda MicroVMs offer sandboxes with VM-level isolation for each agent, tenant, or task: state that persists across invocations, automatic suspend on idle, resume on demand. 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AWS Marketplace Storefront brings that path onto your own domain, so you keep your brand, your journey, and your sales team's visibility. 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You must bring your laptop to participate. ","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790019409299001mn0d","lastModified":"2026-11-06T01:15:33Z","speakers":[{"id":"1736395724338001cN8y_17746331reinvent2026","displayName":"Parvesh Chopra","name":"Parvesh Chopra","firstName":"Parvesh","lastName":"Chopra","company":"AWS"},{"id":"1736396024133001reKQ_17746331reinvent2026","displayName":"Pratik Patil","name":"Pratik Patil","firstName":"Pratik","lastName":"Patil","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Bootcamp"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":82,"repeats":[{"id":"1784231861152001EaU1","shortId":"TNC212-R1","startDateTime":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","startTime":"08:30","endTime":"12:30","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1789063458129001SDrh","hash":"a4be45cd537fcdb774ea4e1e7b062d73","shortId":"TNC210-R1","title":"AWS Partner: Govern AI agents by hacking one first","abstract":"This bootcamp is for AWS Partners only. 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You must bring your laptop to participate. ","startDateTime":"2026-12-02T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-12-02T23:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790980446676001M4Db","lastModified":"2026-11-06T01:14:59Z","speakers":[{"id":"1736395724338001cN8y_17746331reinvent2026","displayName":"Parvesh Chopra","name":"Parvesh Chopra","firstName":"Parvesh","lastName":"Chopra","company":"AWS"},{"id":"1736396024133001reKQ_17746331reinvent2026","displayName":"Pratik Patil","name":"Pratik Patil","firstName":"Pratik","lastName":"Patil","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Bootcamp"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Config"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":82,"repeats":[{"id":"1784231860228001E81Y","shortId":"TNC210-R","startDateTime":"2026-11-30T23:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","startTime":"15:30","endTime":"17:30","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1784231860228001E81Y","hash":"35ad6988119bbacbc903aeab6e1ecb4e","shortId":"TNC210-R","title":"AWS Partner: Govern AI agents by hacking one first","abstract":"This bootcamp is for AWS Partners only. 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You must bring your laptop to participate. ","startDateTime":"2026-11-30T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-11-30T23:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790019493422001fYuV","lastModified":"2026-11-06T01:14:31Z","speakers":[{"id":"1736395724338001cN8y_17746331reinvent2026","displayName":"Parvesh Chopra","name":"Parvesh Chopra","firstName":"Parvesh","lastName":"Chopra","company":"AWS"},{"id":"1736396024133001reKQ_17746331reinvent2026","displayName":"Pratik Patil","name":"Pratik Patil","firstName":"Pratik","lastName":"Patil","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Bootcamp"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Config"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":82,"repeats":[{"id":"1789063458129001SDrh","shortId":"TNC210-R1","startDateTime":"2026-12-02T23:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","startTime":"15:30","endTime":"17:30","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1784231860402001E8zF","hash":"012617cd3f41c9df10f83d99857cd18a","shortId":"TNC326-R","title":"AWS Partner: Ship an AI agent without crossing your fingers","abstract":"This bootcamp is for AWS Partners only. 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You must bring your laptop to participate. ","startDateTime":"2026-12-01T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-01T16:30:00.000Z","endDateTime":"2026-12-01T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790020381241001VApn","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725991254720001CKtJ_17746331reinvent2026","displayName":"Emiliano Espinoza","name":"Emiliano Espinoza","firstName":"Emiliano","lastName":"Espinoza","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Bootcamp"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon CloudWatch"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":82,"repeats":[{"id":"1784231861075001EcVX","shortId":"TNC326-R1","startDateTime":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","startTime":"08:30","endTime":"12:30","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1784231861075001EcVX","hash":"e445dc084bbc91dd38aeb959c50bdfd9","shortId":"TNC326-R1","title":"AWS Partner: Ship an AI agent without crossing your fingers","abstract":"This bootcamp is for AWS Partners only. 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You must bring your laptop to participate. ","startDateTime":"2026-12-03T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790981722913001UbtH","lastModified":"2026-11-04T22:12:35Z","speakers":[{"id":"1725991254720001CKtJ_17746331reinvent2026","displayName":"Emiliano Espinoza","name":"Emiliano Espinoza","firstName":"Emiliano","lastName":"Espinoza","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Bootcamp"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon CloudWatch"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":82,"repeats":[{"id":"1784231860402001E8zF","shortId":"TNC326-R","startDateTime":"2026-12-01T16:30:00.000Z","endDateTime":"2026-12-01T20:30:00.000Z","startTime":"08:30","endTime":"12:30","day":"Tuesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1787372742473001zK0g","hash":"f66227fd4af0fdb20f16929221eb8c40","shortId":"TNC339-R1","title":"AWS Partner: Unblock AI agents on legacy apps from assessment to fix","abstract":"This bootcamp is for AWS Partners only. An agent is only as reliable as the app underneath it. A ten-year-old booking platform stands between your customer and their first AI agent. Run an Agentic Readiness Analysis (ARA) with AWS Transform, predict what it finds, and read the findings by severity. Map the blockers to modernization routes, build a prioritized roadmap with Kiro, then apply an automated remediation: a machine identity for agents, plus an audit trail and idempotency. Leave with a repeatable method to assess any customer app and decide what to fix first. 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An agent is only as reliable as the app underneath it. A ten-year-old booking platform stands between your customer and their first AI agent. Run an Agentic Readiness Analysis (ARA) with AWS Transform, predict what it finds, and read the findings by severity. Map the blockers to modernization routes, build a prioritized roadmap with Kiro, then apply an automated remediation: a machine identity for agents, plus an audit trail and idempotency. Leave with a repeatable method to assess any customer app and decide what to fix first. 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Skip the traditional point to point course. Instead, you will conquer 3.1 miles in six high energy laps around the perimeter of Allegiant Stadium alongside the global AWS community. Completely free and open to all paces. This fun run is in partnership with AWS Customer, Lululemon and supports  the Michael J. Fox Foundation for Parkinson's Research. Sign up now at the attendee experience desk located in the artist foyer at Venetian.","startDateTime":"2026-12-02T14:30:00.000Z","startTime":"06:30","startTimeFormatted":"2026-12-02T14:30:00.000Z","endDateTime":"2026-12-02T16:30:00.000Z","endTime":"08:30","sessionTimeId":"1792597300876001RpE4","lastModified":"2026-11-05T19:35:26Z","speakers":[],"venue":{"id":"Allegiant_Stadium","displayName":"Allegiant Stadium"},"day":"Wednesday","type":{"id":"Type","displayName":"Featured experience"},"services":[],"topics":[],"areaOfInterest":[],"industry":[],"role":[],"features":[],"seatCapacity":0},{"id":"1780442283830001cIoU","hash":"bdff41e7b8517dc97718f6018e865481","shortId":"SEC410","title":"AWS Security Incident Response Challenge: Defend the Cake","abstract":"The Magic Unicorn Cake recipe needs defending, and the Grumpy Cats are on the move. In this hands-on workshop, you become an AWS Security Engineer protecting critical assets. 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This presentation is brought to you by JetBrains, an AWS Partner.","startDateTime":"2026-12-02T01:00:00.000Z","startTime":"17:00","startTimeFormatted":"2026-12-02T01:00:00.000Z","endDateTime":"2026-12-02T01:20:00.000Z","endTime":"17:20","sessionTimeId":"1793255451450001vntP","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venueRoomName":"Level 2 | Hall B | Expo | Global Impact Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442223531001cVsd","hash":"d67fd10e79594a2d2c896e5d3bc67d4f","shortId":"API401","title":"Beyond Batch: Modernize with Event-Driven Architecture & Serverless","abstract":"In this builders' session, transform a batch-oriented data processing pipeline into a real-time, event-driven architecture using Amazon EventBridge, AWS Lambda, and AWS Step Functions. Working hands-on in small groups, you'll decompose a monolithic batch process into discrete event-driven steps, implement file-processing triggers, and design fan-out patterns for parallel execution. Learn when to keep batch and when to go event-driven, and leave with a working modernization pattern. You must bring your laptop to participate.","startDateTime":"2026-12-03T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-03T21:30:00.000Z","endDateTime":"2026-12-03T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025544886001CTCL","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1727789905967001tDJv_17746331reinvent2026","displayName":"Elie Elmalem","name":"Elie Elmalem","firstName":"Elie","lastName":"Elmalem","company":"AWS"},{"id":"1724956002212001mv4t_17746331reinvent2026","displayName":"Rajdeep Banerjee","name":"Rajdeep Banerjee","firstName":"Rajdeep","lastName":"Banerjee","company":"Amazon"},{"id":"1725408340428001uO1p_17746331reinvent2026","displayName":"Sundar Shanmugam","name":"Sundar Shanmugam","firstName":"Sundar","lastName":"Shanmugam","company":"Amazon Web Services"},{"id":"1757553133176001Wrwj_17746331reinvent2026","displayName":"Ray Chang","name":"Ray Chang","firstName":"Ray","lastName":"Chang","company":"Amazon Web Services"},{"id":"1724873036392001yCXW_17746331reinvent2026","displayName":"Ramesh Mathikumar","name":"Ramesh Mathikumar","firstName":"Ramesh","lastName":"Mathikumar","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Builders' Session 1","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon EventBridge"},{"id":"Services","displayName":"AWS Lambda"},{"id":"Services","displayName":"AWS Step Functions"}],"topics":[{"id":"Topic","displayName":"Application Integration"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Event-Driven Architecture"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780441493465001GUJI","hash":"6b2a6331aceccca1a61b67f68d8382ad","shortId":"INV503-R","title":"Beyond Benchmarks: Evaluating AI Safety with Formal Guarantees","abstract":"As AI systems become increasingly capable and autonomous, safety evaluation is emerging as a critical challenge. While current evaluations largely rely on benchmark performance and empirical red-teaming, these approaches provide limited guarantees about real-world risk. This talk will explore an emerging direction in AI safety: evaluating model behavior with formal statistical guarantees. We will discuss how ideas from reliability engineering, robustness certification, and risk assessment can be applied to quantify catastrophic failure probabilities, the assumptions behind such guarantees, and their implications for deploying and governing frontier AI systems. This topic is highly relevant to the future of trustworthy and accountable AI.","startDateTime":"2026-11-30T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-11-30T18:30:00.000Z","endDateTime":"2026-11-30T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025478214001CUBm","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1787937200874001GIoB_17746331reinvent2026","displayName":"Weitong Ruan","name":"Weitong Ruan","firstName":"Weitong","lastName":"Ruan","company":"Amazon"},{"id":"1787937200723001GifC_17746331reinvent2026","displayName":"Qian Hu","name":"Qian Hu","firstName":"Qian","lastName":"Hu","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Tech Explorer"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1780441495791001G9Dz","shortId":"INV503-R1","startDateTime":"2026-12-04T16:30:00.000Z","endDateTime":"2026-12-04T17:30:00.000Z","startTime":"08:30","endTime":"09:30","day":"Friday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780441495791001G9Dz","hash":"d9f0bc428e5229397b76cf838ca660df","shortId":"INV503-R1","title":"Beyond Benchmarks: Evaluating AI Safety with Formal Guarantees","abstract":"As AI systems become increasingly capable and autonomous, safety evaluation is emerging as a critical challenge. While current evaluations largely rely on benchmark performance and empirical red-teaming, these approaches provide limited guarantees about real-world risk. This talk will explore an emerging direction in AI safety: evaluating model behavior with formal statistical guarantees. We will discuss how ideas from reliability engineering, robustness certification, and risk assessment can be applied to quantify catastrophic failure probabilities, the assumptions behind such guarantees, and their implications for deploying and governing frontier AI systems. This topic is highly relevant to the future of trustworthy and accountable AI.","startDateTime":"2026-12-04T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-04T16:30:00.000Z","endDateTime":"2026-12-04T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1792635434519001EZRs","lastModified":"2026-11-04T10:50:27Z","speakers":[{"id":"1787937200723001GifC_17746331reinvent2026","displayName":"Qian Hu","name":"Qian Hu","firstName":"Qian","lastName":"Hu","company":"Amazon"},{"id":"1787937200874001GIoB_17746331reinvent2026","displayName":"Weitong Ruan","name":"Weitong Ruan","firstName":"Weitong","lastName":"Ruan","company":"Amazon"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Friday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Tech Explorer"}],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1780441493465001GUJI","shortId":"INV503-R","startDateTime":"2026-11-30T18:30:00.000Z","endDateTime":"2026-11-30T19:30:00.000Z","startTime":"10:30","endTime":"11:30","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442264556001c4fx","hash":"0371c1976bec45021438fd0b0f124b04","shortId":"OPN303","title":"Beyond chatbots: Event-driven AI agents on Apache Flink","abstract":"Most AI agents wait for a prompt. Apache Flink Agents flips that—agents react autonomously to live event streams as Flink operators, with exactly-once guarantees, durable state, and millisecond latency. Learn how this event-driven foundation differs from request-response frameworks, then see an ops agent detect a failing Flink job, diagnose it with an LLM on Amazon Bedrock, retrieve a runbook, and remediate—no human in the loop. Hear from Flink committers on production agents at Alibaba and LinkedIn, and from AWS contributors building Bedrock and other AWS integrations upstream.","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T16:50:00.000Z","endTime":"08:50","sessionTimeId":"1790033109587001qJrP","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1788883200409001hXdZ_17746331reinvent2026","displayName":"Weiqing Yang","name":"Weiqing Yang","firstName":"Weiqing","lastName":"Yang","company":"LinkedIn"},{"id":"1790811181722001feFU_17746331reinvent2026","displayName":"Mayank Juneja","name":"Mayank Juneja","firstName":"Mayank","lastName":"Juneja","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Event-Driven Architecture"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1780441470199001Gi3I","hash":"846ee852284a13d8d2087c3d36b9f149","shortId":"DVT307","title":"Beyond code generation: accelerating the entire SDLC on AWS","abstract":"Teams pour AI into code generation and wonder why they're not shipping faster. In reality, accelerating one stage just moves the bottleneck downstream. This session follows a single task across its entire lifecycle and shows where AI compounds. We'll design and build with Kiro, pay down tech debt with AWS Transform, catch vulnerabilities early with AWS Continuum (formerly known as AWS Security Agent), ship through safe CI/CD pipelines, and resolve production issues with AWS DevOps Agent—then feed what we learn back into the next task. Come see our vision for an SDLC where every stage moves at the same speed.","startDateTime":"2026-12-03T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-03T20:00:00.000Z","endDateTime":"2026-12-03T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025541252001CaTw","lastModified":"2026-11-03T22:06:21Z","speakers":[{"id":"1725408455502001uq5u_17746331reinvent2026","displayName":"Adnan Bilwani","name":"Adnan Bilwani","firstName":"Adnan","lastName":"Bilwani","company":"Amazon Web Services"},{"id":"1761750787269001TxE6_17746331reinvent2026","displayName":"Tony Patino","name":"Tony Patino","firstName":"Tony","lastName":"Patino","company":"Transamerica"},{"id":"1725460036264001we4P_17746331reinvent2026","displayName":"Ryan Bachman","name":"Ryan Bachman","firstName":"Ryan","lastName":"Bachman","company":"Amazon"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | White Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Transform"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"},{"id":"AreaofInterest","displayName":"Amazon Builds on AWS"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780442236415001cBZK","hash":"84184099b19d477eccef985f0b99c847","shortId":"BIZ316-R","title":"Beyond English: Architecture Patterns for Multilingual AI Voice Agents","abstract":"Deploying AI voice agents beyond English introduces unique challenges: accent handling, language detection, code-switching between languages mid-conversation, and cultural nuances in conversation flow. In this chalk talk, we share architecture patterns for building multilingual voice agents using Amazon Connect Agentic Voice. We cover real-world scenarios from deployments like Spanish and English coexistence, German with regional dialects, and Italian conversational AI. We discuss when speech-to-speech models work natively, when to fall back to TTS pipelines, how to handle polyglot but non-native accent scenarios, and practical approaches to knowledge base localization. Bring your language challenge and we'll design your multilingual architecture on the whiteboard.","startDateTime":"2026-11-30T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025492793001C9fr","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1736392049220001JfCa_17746331reinvent2026","displayName":"Mark Macdonald","name":"Mark Macdonald","firstName":"Mark","lastName":"Macdonald","company":"Amazon Web Services"},{"id":"1764325591693001tIj5_17746331reinvent2026","displayName":"Prabhakar Rajasekar","name":"Prabhakar Rajasekar","firstName":"Prabhakar","lastName":"Rajasekar","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1790358226185001iTK7","shortId":"BIZ316-R1","startDateTime":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-02T23:30:00.000Z","startTime":"14:30","endTime":"15:30","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1790358226185001iTK7","hash":"43da57477fb946a510d8068c6db896a4","shortId":"BIZ316-R1","title":"Beyond English: Architecture Patterns for Multilingual AI Voice Agents","abstract":"Deploying AI voice agents beyond English introduces unique challenges: accent handling, language detection, code-switching between languages mid-conversation, and cultural nuances in conversation flow. In this chalk talk, we share architecture patterns for building multilingual voice agents using Amazon Connect Agentic Voice. We cover real-world scenarios from deployments like Spanish and English coexistence, German with regional dialects, and Italian conversational AI. We discuss when speech-to-speech models work natively, when to fall back to TTS pipelines, how to handle polyglot but non-native accent scenarios, and practical approaches to knowledge base localization. Bring your language challenge and we'll design your multilingual architecture on the whiteboard.","startDateTime":"2026-12-02T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-02T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790360368860001AioH","lastModified":"2026-11-03T23:11:16Z","speakers":[{"id":"1736392049220001JfCa_17746331reinvent2026","displayName":"Mark Macdonald","name":"Mark Macdonald","firstName":"Mark","lastName":"Macdonald","company":"Amazon Web Services"},{"id":"1764325591693001tIj5_17746331reinvent2026","displayName":"Prabhakar Rajasekar","name":"Prabhakar Rajasekar","firstName":"Prabhakar","lastName":"Rajasekar","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780442236415001cBZK","shortId":"BIZ316-R","startDateTime":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442272248001cf4w","hash":"9ed6d48d2e10fef0621eea770ffbfc17","shortId":"BIZ206-S","title":"Beyond Evals: Setting up your agents and your enterprise for success (sponsored by LangChain)","abstract":"We are witnessing models and agents continually becoming more capable,  all while the process of meaningfully evaluating them continues to be a challenge. In this session, we will dissect eval best practices observed both in the field and internally at LangChain. This session will go beyond just your technical evaluation toolkit and provide practical organizational and process takeaways and a better understanding of what future capabilities are unlocked downstream of good evaluation. This session will be especially relevant to teams deploying agents in cross-functional domains. This presentation is brought to you by LangChain, an AWS Partner.","startDateTime":"2026-12-01T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-01T18:30:00.000Z","endDateTime":"2026-12-01T18:50:00.000Z","endTime":"10:50","sessionTimeId":"1790033119564001qJEO","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1784671164283001u5uk_17746331reinvent2026","displayName":"Joel Johnson","name":"Joel Johnson","firstName":"Joel","lastName":"Johnson","company":"LangChain"}],"venueRoomName":"Level 2 | Hall B | Expo | Builder Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442234619001cJC9","hash":"f1582d2a0eea9999c1eeca79515fb3e8","shortId":"AIM312-R","title":"Beyond fine-tuning: RL for reasoning agents with AWS Trainium","abstract":"Supervised fine-tuning teaches a model to follow instructions, and reinforcement learning (RL) teaches it to reason. In this chalk talk, explore what RLHF and GRPO add beyond fine-tuning and how to run them on AWS Trainium, purpose-built for price performance. Start with a co-located GRPO loop in Hugging Face TRL on native PyTorch, then see a disaggregated loop on Ray and verl or SkyRL, in which TorchTitan trains the policy and vLLM generates rollouts, so each side can be sized for its own load. Learn when each architecture fits, and leave ready to use the AWS Neuron SDK to implement RL loops that train agents to reason.","startDateTime":"2026-11-30T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-11-30T21:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025485873001CnrA","lastModified":"2026-11-05T00:24:46Z","speakers":[{"id":"1787937197698001GyIN_17746331reinvent2026","displayName":"Hiroshi Tokoyo","name":"Hiroshi Tokoyo","firstName":"Hiroshi","lastName":"Tokoyo","company":"Amazon Web Services Japan"},{"id":"1729630780109001LSqv_17746331reinvent2026","displayName":"Maen Suleiman","name":"Maen Suleiman","firstName":"Maen","lastName":"Suleiman","company":"Annapurna Labs"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"AWS Trainium"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82,"repeats":[{"id":"1790358245912001ii19","shortId":"AIM312-R1","startDateTime":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Thursday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358245912001ii19","hash":"5dd6da70a560b0282c4da16a67afa7c0","shortId":"AIM312-R1","title":"Beyond fine-tuning: RL for reasoning agents with AWS Trainium","abstract":"Supervised fine-tuning teaches a model to follow instructions, and reinforcement learning (RL) teaches it to reason. In this chalk talk, explore what RLHF and GRPO add beyond fine-tuning and how to run them on AWS Trainium, purpose-built for price performance. Start with a co-located GRPO loop in Hugging Face TRL on native PyTorch, then see a disaggregated loop on Ray and verl, in which TorchTitan trains the policy and vLLM generates rollouts, so each side can be sized for its own load. Learn when each architecture fits, and leave ready to use the AWS Neuron SDK to implement RL loops that train agents to reason.","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790360397685001ARRe","lastModified":"2026-11-06T15:55:01Z","speakers":[{"id":"1787937197698001GyIN_17746331reinvent2026","displayName":"Hiroshi Tokoyo","name":"Hiroshi Tokoyo","firstName":"Hiroshi","lastName":"Tokoyo","company":"Amazon Web Services Japan"},{"id":"1729630780109001LSqv_17746331reinvent2026","displayName":"Maen Suleiman","name":"Maen Suleiman","firstName":"Maen","lastName":"Suleiman","company":"Annapurna Labs"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"AWS Trainium"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1780442234619001cJC9","shortId":"AIM312-R","startDateTime":"2026-11-30T21:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","startTime":"13:00","endTime":"14:00","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780441495609001GwGM","hash":"c8212f71817dc7aa73e738ec8494f324","shortId":"INV539","title":"Beyond Next-Token Prediction: World Models for Human Health","abstract":"Next-token prediction has been effective for language, but is it the right learning objective for achieving clinical intelligence from longitudinal human health data? In this talk, we show that treating health records as flat token sequences limit the advancement of foundation models in healthcare. We then introduce a Health State–Action World Model that abstracts longitudinal records into learned representations of patient health states and clinical actions, and models how these states evolve under different interventions. This abstraction enables pretraining models to predict future health events, diagnoses, treatments, and responses to treatment. Across large-scale datasets, we show that moving from token-level prediction to state–action modeling enables clinical intelligence that cannot be achieved through token prediction alone, while generalizing strongly to unseen patients. ","startDateTime":"2026-12-03T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1791585075039001BN6R","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1791680617152001hxXL_17746331reinvent2026","displayName":"Chenyan Xiong","name":"Chenyan Xiong","firstName":"Chenyan","lastName":"Xiong","company":"Xlue Inc."}],"venueRoomName":"Level 1 | Academy 414","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1780441490155001GgFv","hash":"7ca0def341757903302a461c699a8420","shortId":"AIM108-S","title":"Beyond pilots: agentic AI transforming mortgage operations and IT at scale (sponsored by Tata Consultancy Services)","abstract":"Mortgage lending still runs on handoffs, exceptions, and manual review. See how a leading US mortgage lender is rebuilding origination and servicing with agentic AI on AWS, cutting cycle times while keeping controls and auditability intact. We will also show how the same agent patterns reach IT operations, resolving incidents before customers feel them. Tata Consultancy Services shares the reference architecture, guardrails, and adoption model behind both. Built for financial services business and operations leaders, CIOs and IT operations heads, and data and AI leaders, this session gives you a practical path from promising pilots to production at enterprise scale. This presentation is brought to you by Tata Consultancy Services, an AWS Partner.","startDateTime":"2026-12-01T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025508133001CSgo","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Q"},{"id":"Services","displayName":"Amazon Nova"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780442253743001cPcf","hash":"9a622acdaddf4c5dd20b921cb2dec7ce","shortId":"AIM446-R","title":"Beyond Prompt Engineering: Optimize the Agent Harness","abstract":"An agent’s performance depends on far more than its model or system prompt. Tools, instructions, context management, memory, orchestration, and runtime policies form an agent harness that can determine whether the same model succeeds or fails. This session introduces harness optimization: a systematic, evaluation-driven approach to improving the complete agent system. Learn how to identify high-leverage changes, design controlled experiments, optimize for quality, latency, and cost, and avoid overfitting to benchmarks. Leave with a repeatable method for turning agent development into an engineering discipline.","startDateTime":"2026-12-03T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025534654001CmIB","lastModified":"2026-11-04T12:29:43Z","speakers":[{"id":"1789144290464001SRDU_17746331reinvent2026","displayName":"Jonathan Buck","name":"Jonathan Buck","firstName":"Jonathan","lastName":"Buck","company":"Amazon Web Services"},{"id":"1787937117287001GMgQ_17746331reinvent2026","displayName":"Po-Shin Chen","name":"Po-Shin Chen","firstName":"Po-Shin","lastName":"Chen","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":66,"repeats":[{"id":"1790358216476001i0dv","shortId":"AIM446-R1","startDateTime":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-02T23:30:00.000Z","startTime":"14:30","endTime":"15:30","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358216476001i0dv","hash":"08977fe3e9a9a873e7f4e6a5caf35b03","shortId":"AIM446-R1","title":"Beyond Prompt Engineering: Optimize the Agent Harness","abstract":"An agent’s performance depends on far more than its model or system prompt. Tools, instructions, context management, memory, orchestration, and runtime policies form an agent harness that can determine whether the same model succeeds or fails. This session introduces harness optimization: a systematic, evaluation-driven approach to improving the complete agent system. Learn how to identify high-leverage changes, design controlled experiments, optimize for quality, latency, and cost, and avoid overfitting to benchmarks. Leave with a repeatable method for turning agent development into an engineering discipline.","startDateTime":"2026-12-02T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-02T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790360401648001AEue","lastModified":"2026-11-04T22:12:19Z","speakers":[{"id":"1789144290464001SRDU_17746331reinvent2026","displayName":"Jonathan Buck","name":"Jonathan Buck","firstName":"Jonathan","lastName":"Buck","company":"Amazon Web Services"},{"id":"1787937117287001GMgQ_17746331reinvent2026","displayName":"Po-Shin Chen","name":"Po-Shin Chen","firstName":"Po-Shin","lastName":"Chen","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":60,"repeats":[{"id":"1780442253743001cPcf","shortId":"AIM446-R","startDateTime":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","startTime":"10:00","endTime":"11:00","day":"Thursday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1791258325067001SszH","hash":"9727302bd461c2d2b4fa48d15fcb3e78","shortId":"COM347","title":"Beyond Prompts: Crafting Production GenAI from Scratch","abstract":"Building reliable GenAI applications requires deliberate systems engineering, not just prompt engineering. \nAfter collaborating with AWS Professional Services on an enterprise client, I learned how to build production-grade web apps the official AWS way. \n\nBypassing basic buzzwords, we map a compound serverless conversational assistant engineered from scratch using AWS CDK, CloudFront, Cognito, API Gateway, and ⁠Amazon Bedrock. \n\nExamine how to handle real-world token streaming failures, manage state in DynamoDB, and implement strict Infrastructure as Code. Leave with complete source code and a concrete approach to balancing model performance against infrastructure cost in highly concurrent production environments.","startDateTime":"2026-12-02T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-02T17:00:00.000Z","endDateTime":"2026-12-02T17:20:00.000Z","endTime":"09:20","sessionTimeId":"1791268537379001Cekb","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1727403328542001T74L_17746331reinvent2026","displayName":"Steven Leung","name":"Steven Leung","firstName":"Steven","lastName":"Leung","company":"Versent"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon API Gateway"},{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Cloud Development Kit (AWS CDK)"}],"topics":[{"id":"Topic","displayName":"Application Integration"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"Student"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1780441494996001GbPu","hash":"6624050aa8decf7367cf510fb46e5472","shortId":"INV529","title":"Beyond RSA: Post-quantum data encryption using ML-KEM in AWS KMS","abstract":"RSA and Elliptic Curve Cryptography secure nearly every application today, and both are vulnerable to future cryptographically relevant quantum computers. Data captured now can be decrypted later, so applications needing long-term confidentiality should adopt post-quantum encryption well before those computers arrive. AWS KMS now offers ML-KEM, the NIST-standardized replacement for RSA and ECDH key establishment and ultimately encryption under asymmetric keys. It protects the private keys in FIPS 140-3 Level 3 HSMs. In this session, learn about ML-KEM and how to use it as a building block for quantum-safe encryption using Hybrid Public Key Encryption (HPKE).","startDateTime":"2026-12-01T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025501611001CXjU","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1788539518323001cfxG_17746331reinvent2026","displayName":"Vipul Gupta","name":"Vipul Gupta","firstName":"Vipul","lastName":"Gupta","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[{"id":"Services","displayName":"AWS Key Management Service (AWS KMS)"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Cryptography and Post-Quantum"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82},{"id":"1780442267912001cGIF","hash":"9d9b135bea1e961a652f03680526d7a8","shortId":"IND3309-S","title":"Beyond Search: How Gilead Built a Multi-Agent AI That Reasons Like a Scientist (sponsored by Thoughtworks)","abstract":"Gilead is pivoting from virology leader to oncology and immunology powerhouse, targeting 10+ transformative therapies by 2030. With Thoughtworks, Gilead built an AI co-scientist on AWS that reasons across 1M+ ELN assay records, 3M+ internal documents and external literature. It reads assay, compound and target data like a scientist, returning one cited answer with conflicts flagged. Scientists now reach evidence-backed decisions in minutes, not days. Gilead and Thoughtworks share how the solution earned scientists' trust. This presentation is brought to you by Thoughtworks, an AWS Partner.","startDateTime":"2026-12-02T19:00:00.000Z","startTime":"11:00","startTimeFormatted":"2026-12-02T19:00:00.000Z","endDateTime":"2026-12-02T19:20:00.000Z","endTime":"11:20","sessionTimeId":"1790033122255001qe0X","lastModified":"2026-11-03T20:06:08Z","speakers":[{"id":"1760717664714001udKI_17746331reinvent2026","displayName":"Shayan Mohanty","name":"Shayan Mohanty","firstName":"Shayan","lastName":"Mohanty","company":"Thoughtworks"}],"venueRoomName":"Level 2 | Hall B | Expo | Industry Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"Amazon OpenSearch Service"}],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442268023001cWTN","hash":"3cf17ba2129344da66019712476b6675","shortId":"AIM2206-S","title":"Beyond the Build: Scaling and Governing AI Agents with Dataiku and Amazon Bedrock (sponsored by Dataiku)","abstract":"As enterprises move from experimenting with AI agents to deploying them at scale, the challenge is no longer just how to build agents, it’s how to maintain visibility, performance, and control across the growing agent ecosystem. This session will explore how Amazon Bedrock and Dataiku Agent Management support the agent lifecycle from creation through enterprise-wide management. Attendees will see how organizations can build and deploy agents with AWS while using Dataiku to discover agents, monitor performance, and identify risk across environments, helping teams scale agentic AI with greater confidence and governance. This presentation is brought to you by Dataiku, an AWS Partner.","startDateTime":"2026-12-02T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-02T20:00:00.000Z","endDateTime":"2026-12-02T20:20:00.000Z","endTime":"12:20","sessionTimeId":"1790033122363001qdLF","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venueRoomName":"Level 2 | Hall B | Expo | Industry Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442273578001cA2L","hash":"9ac781287ee8979af29c12969783f31b","shortId":"AIM275-S","title":"Beyond the Buy Button: Cisco on AWS Marketplace, a Partner-Led AI Win (sponsored by Cisco)","abstract":"AWS Marketplace isn't just a procurement channel, it's a financial lever. A typical ISV saves a procurement cycle. Cisco draws down committed spend against the infrastructure your agents run on: connectivity from cloud to edge, visibility into agent behavior, and protection for models, identities, and data. Partners add the expertise to deploy it right, turning a procurement decision into an architectural one, a true better together win with AWS. This presentation is brought to you by Cisco, an AWS Partner.","startDateTime":"2026-12-01T22:00:00.000Z","startTime":"14:00","startTimeFormatted":"2026-12-01T22:00:00.000Z","endDateTime":"2026-12-01T22:20:00.000Z","endTime":"14:20","sessionTimeId":"1790033124013001qTTA","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1787664668346001T6q5_17746331reinvent2026","displayName":"Dave Gervon","name":"Dave Gervon","firstName":"Dave","lastName":"Gervon","company":"Cisco Systems, Inc."}],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Networking & Content Delivery"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"},{"id":"AreaofInterest","displayName":"Zero Trust"}],"industry":[],"role":[{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Sales / Marketing"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1792018979110001L3ir","hash":"d41ca19bfeb327a3f6fd67a0a044b2ab","shortId":"SUP222","title":"Beyond the coding assistant: Build a software factory for your startup","abstract":"Startups need to turn customer requests into reliable releases without overwhelming a small engineering team. This demo-driven session explores how software factories combine AI agents, repeatable workflows, independent verification, and human judgment to handle engineering work from request to delivery. We'll follow a bounded change through implementation, testing, review, and release, and show what happens when the generated solution fails a required check. Attendees will learn how to start with one useful workflow, measure its value, and expand delegation as evidence builds confidence.","startDateTime":"2026-11-30T22:40:00.000Z","startTime":"14:40","startTimeFormatted":"2026-11-30T22:40:00.000Z","endDateTime":"2026-11-30T23:40:00.000Z","endTime":"15:40","sessionTimeId":"1793658037291001oX6H","lastModified":"2026-11-02T22:20:44Z","speakers":[],"venueRoomName":"Level 1 | Forum Event Plaza | Startup Plaza Studio","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Featured experience"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[],"seatCapacity":20},{"id":"1780442237753001cFsY","hash":"4c06b91c7d2c47a6c75cab526139d215","shortId":"COM315","title":"Beyond the Docs: Operating Scoped VPC Endpoints in Real Environments","abstract":"Scoped VPC endpoint policies look simple, until production traffic proves otherwise. In this interactive chalk talk, we'll walk through real-world failures we've encountered while deploying account- and org-scoped endpoint policies and trace the identity flows, auth chains, and hidden dependencies behind them. Together, we'll explore a key lesson: endpoint policies evaluate the request that's actually made, not the request you think you're making. Bring your questions and experiences as we whiteboard the assumptions that lead to outages and learn how to spot them before they impact production.","startDateTime":"2026-12-03T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-03T17:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025533108001Crwy","lastModified":"2026-11-03T22:06:21Z","speakers":[{"id":"1749112068205001gCte_17746331reinvent2026","displayName":"Kenneth Attard","name":"Kenneth Attard","firstName":"Kenneth","lastName":"Attard","company":"Betsson"},{"id":"1782156798161001raZG_17746331reinvent2026","displayName":"Meg Ashby","name":"Meg Ashby","firstName":"Meg","lastName":"Ashby","company":"Abnormal AI"}],"venueRoomName":"Level 1 | Forum 114","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Virtual Private Cloud (Amazon VPC)"}],"topics":[{"id":"Topic","displayName":"Networking & Content Delivery"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Zero Trust"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Community-led"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1780441467297001GVE5","hash":"c661368f6f6223a7d7780cd09734989f","shortId":"COM314","title":"Beyond the GPU count: Engineering inference at scale","abstract":"You have enough GPUs in your server to cover your software requirements. But is that all you need to consider? In a world where everyone is fighting for GPUs, picking the wrong server type is one of the most expensive mistakes an engineering team makes at scale. This session shares lessons running GPU inference across AWS and bare metal connected privately. You'll see how EKS Hybrid Nodes provides a single scheduling plane, failure modes, and how to use AI to accelerate decisions without replacing engineering judgement. Leave with a cloud and bare metal architectural pattern and a GPU selection framework covering workload fit and server tradeoffs.","startDateTime":"2026-12-03T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025538854001Ch1T","lastModified":"2026-11-05T00:38:17Z","speakers":[{"id":"1785373610335001PKln_17746331reinvent2026","displayName":"Mai Nishitani","name":"Mai Nishitani","firstName":"Mai","lastName":"Nishitani","company":"Latitude.sh (Megaport)"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Purple Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"AWS Direct Connect"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Edge Computing"},{"id":"AreaofInterest","displayName":"Global Infrastructure"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Community-led"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780441490967001GyMs","hash":"fa57381b40bbcb21bc6443b6f2a35764","shortId":"STG343","title":"Beyond the GPU: Optimizing AI performance with storage architecture","abstract":"When AI workloads need scale or speed, the instinct is to add more compute, but GPU speed only pays off when the data keeps pace. From training to inference, storage architecture shapes performance at every stage: optimizing checkpoints for uninterrupted training, reducing model load times, extending context windows beyond GPU memory, and accelerating retrieval for RAG and inference workloads. Learn how Amazon FSx for Lustre, FSx for OpenZFS, and Amazon S3 Express One Zone give you those levers.","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790034533163001pc8L","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408475975001ujsU_17746331reinvent2026","displayName":"Edward Naim","name":"Edward Naim","firstName":"Edward","lastName":"Naim","company":"Amazon"},{"id":"1756406085770001sahN_17746331reinvent2026","displayName":"Randy Seamans","name":"Randy Seamans","firstName":"Randy","lastName":"Seamans","company":"AWS"},{"id":"1725408474029001utu4_17746331reinvent2026","displayName":"Aditi Garg","name":"Aditi Garg","firstName":"Aditi","lastName":"Garg","company":"Amazon Web Services"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Blue Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon FSx for Lustre"},{"id":"Services","displayName":"Amazon FSx for OpenZFS"},{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780442279164001cQct","hash":"d1a25d3da0d9de47302dbfec3ffc9896","shortId":"DVT314-R","title":"Beyond the IDE: autonomous development with Kiro web and mobile","abstract":"Kiro web and mobile bring agentic development to your browser—every session in an isolated cloud sandbox, no local setup, accessible anywhere you have an internet connection. In this hands-on workshop, you'll work with Kiro two ways. First, iterate interactively: connect a repo, explore the codebase, and shape changes in real time. Then go hands-off: assign a task from a tracked issue, let Kiro plan and implement autonomously, and review the pull request it opens. 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As enterprise pricing shifts to consumption and outcomes, startups get paid only when customers deploy, adopt, and realize value, and forward deployed engineering (FDE) is how AI-native companies close that gap. In this panel discussion moderated by [AWS FDE startup leader], Asa Kalvade (VP, AWS Forward Deployed Engineering), Anu Bharadwaj (Partner, ICONIQ), and a [insert second VC partner] discuss whether FDE is consulting under a new name or a compounding moat, how to separate margin-diluting services from deployment that drives retention and expansion, and when founders should tap AWS FDE rather than build the function alone. 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In this workshop, participants will set up and execute computational workflows, testing them locally, on a classical simulator via Amazon Braket, and finally on a real quantum processing unit (QPU). 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Your business runs on connections — customers to products, teams to processes, risks to regulations — but vector search doesn't see any of that. In this chalk talk, we show how to ground Amazon Quick in your enterprise context by integrating it with a knowledge graph built from your domain knowledge. We'll walk through how we built this pattern using GraphRAG for real customers and the results they achieved. 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Leave with reusable retrieval SQL and working agent code.","startDateTime":"2026-12-01T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790360385429001Awoj","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1725408289841001uumu_17746331reinvent2026","displayName":"Shayon Sanyal","name":"Shayon Sanyal","firstName":"Shayon","lastName":"Sanyal","company":"AWS"},{"id":"1756396945540001xY4A_17746331reinvent2026","displayName":"Radwan Deeb","name":"Radwan Deeb","firstName":"Radwan","lastName":"Deeb","company":"AWS"},{"id":"1731345878856001VwvC_17746331reinvent2026","displayName":"Rinisha Marar","name":"Rinisha Marar","firstName":"Rinisha","lastName":"Marar","company":"Amazon Web Services"},{"id":"1725408332930001ukDA_17746331reinvent2026","displayName":"Sudhir Amin","name":"Sudhir Amin","firstName":"Sudhir","lastName":"Amin","company":"Amazon Web Services"},{"id":"1764612755194001vFah_17746331reinvent2026","displayName":"Kanishka Chaturvedi","name":"Kanishka Chaturvedi","firstName":"Kanishka","lastName":"Chaturvedi","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Aurora"},{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Aurora for PostgreSQL"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Open Data"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1780442226592001cpE3","shortId":"DAT410-R","startDateTime":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442226592001cpE3","hash":"129071117001269328f5870a44662ea0","shortId":"DAT410-R","title":"Build agentic hybrid retrieval with Amazon Aurora PostgreSQL","abstract":"What if your agent's most convincing answer rests on the wrong evidence? 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Using solutions available in AWS Marketplace, you can incorporate leading generative AI models into your agentic AI workflows while maintaining privacy leveraging stands agents. Deploy third-party products in your AWS account, ensuring that prompts, data, and model responses stay within the boundaries of your account and are not shared with model providers. This is important for business use cases where competitive or confidential information may be used with models. You must bring your laptop to participate.","startDateTime":"2026-12-03T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-03T20:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025540687001CzSU","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1730298357240001QsAV_17746331reinvent2026","displayName":"George Maroulakos","name":"George Maroulakos","firstName":"George","lastName":"Maroulakos","company":"AWS"},{"id":"1721838229650001eVQB_17746331reinvent2026","displayName":"Tuan Vo","name":"Tuan Vo","firstName":"Tuan","lastName":"Vo","company":"Amazon Inc."}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":112},{"id":"1790358253305001iSdM","hash":"2b5c800722ee7c7f85aecc8bf0f90c0e","shortId":"DAT438-R1","title":"Build agentic payment investigators on Aurora PostgreSQL & AgentCore","abstract":"Payment dispute resolution and ledger reconciliation require agents that reason over transactional history, retrieve precedent with precision, and write through idempotent workflows. In this session, learn how to build two production-grade payment agents on Amazon Aurora PostgreSQL: a dispute investigator that classifies cardholder disputes and drafts representment narratives, and a reconciliation agent that resolves breaks between internal ledgers and bank statements. Both share one investigator pattern: an agent reasoning over structured records, retrieving precedent with pgvector, and writing through an idempotent ledger. Go deep on SERIALIZABLE state machines, hybrid retrieval that knows when a trigram index beats an embedding, confidence-scored human-in-the-loop routing, and trace-to-row observability with Amazon Bedrock AgentCore.","startDateTime":"2026-12-04T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-04T18:30:00.000Z","endDateTime":"2026-12-04T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790360402188001A3jN","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408290846001uMnv_17746331reinvent2026","displayName":"Aditya Samant","name":"Aditya Samant","firstName":"Aditya","lastName":"Samant","company":"Amazon"},{"id":"1725408311347001uIXz_17746331reinvent2026","displayName":"Vlad Vlasceanu","name":"Vlad Vlasceanu","firstName":"Vlad","lastName":"Vlasceanu","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Friday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Lambda"},{"id":"Services","displayName":"Amazon Aurora for PostgreSQL"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Open Data"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140,"repeats":[{"id":"1780442278584001cPQX","shortId":"DAT438-R","startDateTime":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","startTime":"15:00","endTime":"17:00","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442278584001cPQX","hash":"683c83cdef2973fd1c2af8651ffcbe5a","shortId":"DAT438-R","title":"Build agentic payment investigators on Aurora PostgreSQL & AgentCore","abstract":"Payment dispute resolution and ledger reconciliation require agents that reason over transactional history, retrieve precedent with precision, and write through idempotent workflows. 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Go deep on SERIALIZABLE state machines, hybrid retrieval that knows when a trigram index beats an embedding, confidence-scored human-in-the-loop routing, and trace-to-row observability with Amazon Bedrock AgentCore.","startDateTime":"2026-11-30T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025492994001Cfct","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408290846001uMnv_17746331reinvent2026","displayName":"Aditya Samant","name":"Aditya Samant","firstName":"Aditya","lastName":"Samant","company":"Amazon"},{"id":"1725408311347001uIXz_17746331reinvent2026","displayName":"Vlad Vlasceanu","name":"Vlad Vlasceanu","firstName":"Vlad","lastName":"Vlasceanu","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Lambda"},{"id":"Services","displayName":"Amazon Aurora for PostgreSQL"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Open Data"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":84,"repeats":[{"id":"1790358253305001iSdM","shortId":"DAT438-R1","startDateTime":"2026-12-04T18:30:00.000Z","endDateTime":"2026-12-04T20:30:00.000Z","startTime":"10:30","endTime":"12:30","day":"Friday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442229237001cZKd","hash":"4c0eda60e89db804f10ef0377c3556ae","shortId":"IND420-R","title":"Build Agentic Video Streaming Observability Using Kiro and Bedrock","abstract":"Media operations teams struggle to correlate issues across complex live streaming pipelines. 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Learn how to create a unified dashboard and natural language interface for streaming quality investigation across every pipeline stage.","startDateTime":"2026-11-30T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-11-30T18:00:00.000Z","endDateTime":"2026-11-30T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025477438001CRRR","lastModified":"2026-11-05T18:52:48Z","speakers":[{"id":"1767731769694001UQNq_17746331reinvent2026","displayName":"Dirk Boekee","name":"Dirk Boekee","firstName":"Dirk","lastName":"Boekee","company":"AWS Elemental"},{"id":"1787937012916001Gso1_17746331reinvent2026","displayName":"Abhimanyu Varshney","name":"Abhimanyu Varshney","firstName":"Abhimanyu","lastName":"Varshney","company":"UOM, Amazon Web Services"},{"id":"1737733120566001ofI1_17746331reinvent2026","displayName":"Devendra Sharma","name":"Devendra Sharma","firstName":"Devendra","lastName":"Sharma","company":"Amazon Web Services"},{"id":"1740685603115001FCjY_17746331reinvent2026","displayName":"Osmar Bento Junior","name":"Osmar Bento Junior","firstName":"Osmar","lastName":"Bento Junior","company":"Amazon Web Services"},{"id":"1787936978885001GgR0_17746331reinvent2026","displayName":"Adrian Ramos","name":"Adrian Ramos","firstName":"Adrian","lastName":"Ramos","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Builders' Session 2","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Elemental MediaLive"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Networking & Content Delivery"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Games"},{"id":"Industry","displayName":"Media & Entertainment"},{"id":"Industry","displayName":"Sports"}],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1790358243489001iCM7","shortId":"IND420-R1","startDateTime":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Wednesday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Forum 120 | Content Hub | Builders' Session 1"}]},{"id":"1790358243489001iCM7","hash":"694af304c2b3f6e583393607d191dc96","shortId":"IND420-R1","title":"Build Agentic Video Streaming Observability Using Kiro and Bedrock","abstract":"Media operations teams struggle to correlate issues across complex live streaming pipelines. 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In this hands-on session, build production-ready AI agents powered by open-source models like Qwen3 and Gemma4 running entirely on Amazon SageMaker AI. You'll deploy models with optimized serving, connect them to multi-turn tool-use workflows through OpenAI-compatible APIs, and enable real-time bi-directional streaming for responsive agent interactions. Leave with a working cost-optimized agent stack you fully control — fast inference, zero vendor lock-in, and patterns for scaling agentic workloads on your own terms.","startDateTime":"2026-12-03T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025538246001C6x0","lastModified":"2026-11-06T13:25:03Z","speakers":[{"id":"1731515525298001KIOu_17746331reinvent2026","displayName":"Dan Ferguson","name":"Dan Ferguson","firstName":"Dan","lastName":"Ferguson","company":"AWS"},{"id":"1790636016110001yyVR_17746331reinvent2026","displayName":"Piyush Daftary","name":"Piyush Daftary","firstName":"Piyush","lastName":"Daftary","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780441463591001Gksh","hash":"1af36898a29e9df2944be8449d98e517","shortId":"AIM340","title":"Build agents that take orders like your best sales reps, with PepsiCo","abstract":"Your best sales reps understand what a customer means, remember the conversation, check the right systems, and close the order in one exchange. This session shows how to build conversational agents on Amazon Bedrock AgentCore that work the same way: stateful sessions on runtime, memory for multi-turn context, enterprise APIs as tools, and deterministic controls that keep the agent accurate and on task. PepsiCo shares how it built a WhatsApp ordering agent for roughly one million retailers in India, where a shopkeeper can order by text, voice note, or a photo of a handwritten list in their own language. ","startDateTime":"2026-12-02T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025515313001Cix4","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1746485467941001UZKm_17746331reinvent2026","displayName":"Bharathi Srinivasan","name":"Bharathi Srinivasan","firstName":"Bharathi","lastName":"Srinivasan","company":"AWS"},{"id":"1738606850553001W2KY_17746331reinvent2026","displayName":"Ganapathi Krishnamoorthi","name":"Ganapathi Krishnamoorthi","firstName":"Ganapathi","lastName":"Krishnamoorthi","company":"Amazon"},{"id":"1759523426809001n9w1_17746331reinvent2026","displayName":"Murali Ambekar","name":"Murali Ambekar","firstName":"Murali","lastName":"Ambekar","company":"Pepsico"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":256},{"id":"1780442228368001ckLQ","hash":"f93b6c987b3fb5ac4b9cc917c2ee9728","shortId":"IND347-R","title":"Build a governed semantic layer with Amazon Bedrock AgentCore and MCP","abstract":"Financial services organizations struggle with inconsistent metric definitions, AI hallucination risks, and analyst bottlenecks. In this session, you’ll build a governed semantic layer with three key pillars (accuracy, consistency, and explainability) essential for agents to operate securely at scale. You’ll then connect to AI agents powered by Amazon Bedrock AgentCore that query, interpret, and act on financial data via MCP, enabling natural language access to complex financial metrics. Your agents reason rather than guess, with full auditability for financial regulators. Leave with a production-ready architecture pattern that goes beyond \"chat with your data\" demos.","startDateTime":"2026-12-04T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-04T18:00:00.000Z","endDateTime":"2026-12-04T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025552454001CmRb","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725555763913001mThQ_17746331reinvent2026","displayName":"Ignacio Fernandez Gonzalez","name":"Ignacio Fernandez Gonzalez","firstName":"Ignacio","lastName":"Fernandez Gonzalez","company":"amazon web services"},{"id":"1735825975773001NjJl_17746331reinvent2026","displayName":"Itziar Molina Fernandez","name":"Itziar Molina Fernandez","firstName":"Itziar","lastName":"Molina Fernandez","company":"AWS"},{"id":"1736418826966001Xhya_17746331reinvent2026","displayName":"Paula Iglesias Ahualli","name":"Paula Iglesias Ahualli","firstName":"Paula","lastName":"Iglesias Ahualli","company":"Amazon Web Services"},{"id":"1736410066030001GWnq_17746331reinvent2026","displayName":"Andrea Perez Isla","name":"Andrea Perez Isla","firstName":"Andrea","lastName":"Perez Isla","company":"Amazon Web Services (AWS)"},{"id":"1770342026767001F5sq_17746331reinvent2026","displayName":"Angel Emmanuel Hernandez Cebrian","name":"Angel Emmanuel Hernandez Cebrian","firstName":"Angel Emmanuel","lastName":"Hernandez Cebrian","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Friday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Neptune"},{"id":"Services","displayName":"AWS Glue"}],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1790358239044001ikLC","shortId":"IND347-R1","startDateTime":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Tuesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358239044001ikLC","hash":"ab3bc9769bceec3e378aa48f546a8059","shortId":"IND347-R1","title":"Build a governed semantic layer with Amazon Bedrock AgentCore and MCP","abstract":"Financial services organizations struggle with inconsistent metric definitions, AI hallucination risks, and analyst bottlenecks. In this session, you’ll build a governed semantic layer with three key pillars (accuracy, consistency, and explainability) essential for agents to operate securely at scale. You’ll then connect to AI agents powered by Amazon Bedrock AgentCore that query, interpret, and act on financial data via MCP, enabling natural language access to complex financial metrics. Your agents reason rather than guess, with full auditability for financial regulators. Leave with a production-ready architecture pattern that goes beyond \"chat with your data\" demos.","startDateTime":"2026-12-01T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790360390173001AuLt","lastModified":"2026-11-04T22:12:22Z","speakers":[{"id":"1736418826966001Xhya_17746331reinvent2026","displayName":"Paula Iglesias Ahualli","name":"Paula Iglesias Ahualli","firstName":"Paula","lastName":"Iglesias Ahualli","company":"Amazon Web Services"},{"id":"1735825975773001NjJl_17746331reinvent2026","displayName":"Itziar Molina Fernandez","name":"Itziar Molina Fernandez","firstName":"Itziar","lastName":"Molina Fernandez","company":"AWS"},{"id":"1736410066030001GWnq_17746331reinvent2026","displayName":"Andrea Perez Isla","name":"Andrea Perez Isla","firstName":"Andrea","lastName":"Perez Isla","company":"Amazon Web Services (AWS)"},{"id":"1725555763913001mThQ_17746331reinvent2026","displayName":"Ignacio Fernandez Gonzalez","name":"Ignacio Fernandez Gonzalez","firstName":"Ignacio","lastName":"Fernandez Gonzalez","company":"amazon web services"},{"id":"1770342026767001F5sq_17746331reinvent2026","displayName":"Angel Emmanuel Hernandez Cebrian","name":"Angel Emmanuel Hernandez Cebrian","firstName":"Angel Emmanuel","lastName":"Hernandez Cebrian","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Neptune"},{"id":"Services","displayName":"AWS Glue"}],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1780442228368001ckLQ","shortId":"IND347-R","startDateTime":"2026-12-04T18:00:00.000Z","endDateTime":"2026-12-04T19:00:00.000Z","startTime":"10:00","endTime":"11:00","day":"Friday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442274464001cWjo","hash":"9dd23236a86b451e04dd9e2b93281f55","shortId":"ANT415-R","title":"Build a grounded AI support assistant on Amazon OpenSearch Service","abstract":"You want to build an AI assistant: where do you even start? A model alone is not the answer. The hard part is grounding it in your own data so it gives real answers, remembers the conversation, and holds up as that data grows, and grounding is a search problem. In this hands-on workshop, you build a customer support assistant grounded in Amazon OpenSearch Service. Starting from a pre-deployed base, you create an OpenSearch Serverless collection, add hybrid search for relevance, and add agentic memory so your assistant retains context across the conversation. You connect your tools and data with the OpenSearch MCP server, the AWS Knowledge MCP, and the AWS MCP. You leave with working code, an architecture that scales itself, and a clear path from a blank page to an assistant that answers from real data.","startDateTime":"2026-12-03T16:00:00.000Z","startTime":"08:00","startTimeFormatted":"2026-12-03T16:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025528711001CvIG","lastModified":"2026-11-05T18:51:12Z","speakers":[{"id":"1725566554424001S0DU_17746331reinvent2026","displayName":"Arun Lakshmanan","name":"Arun Lakshmanan","firstName":"Arun","lastName":"Lakshmanan","company":"AWS"},{"id":"1725566552897001SNIx_17746331reinvent2026","displayName":"Gene Alpert","name":"Gene Alpert","firstName":"Gene","lastName":"Alpert","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon OpenSearch Serverless"},{"id":"Services","displayName":"Amazon OpenSearch Service"},{"id":"Services","displayName":"OpenSearch"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":112},{"id":"1780442231727001cqtw","hash":"1163cd32aca877e44d773529efead19e","shortId":"STG332-R","title":"Build AI agents on Amazon S3 Files","abstract":"S3 Files is the first cloud object store with fully-featured, high-performance file system access to your data. In this hands-on session, you'll create an S3 file system, attach it to an Amazon EKS cluster, and build an AI agent that loads model weights and processes data directly from S3 via standard file I/O. No SDK rewrites, no data duplication, just native POSIX access. You'll fine-tune synchronization behavior between S3 and the file system, controlling how data flows between object and file interfaces. Finally, you'll configure cross-Region replication to establish a disaster recovery strategy for your production workloads.","startDateTime":"2026-12-01T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025497475001CbEu","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1725408370970001utMF_17746331reinvent2026","displayName":"Ananta Khanal","name":"Ananta Khanal","firstName":"Ananta","lastName":"Khanal","company":"Amazon Web Services"},{"id":"1741194868478001hZHq_17746331reinvent2026","displayName":"Samuel Ouvrard","name":"Samuel Ouvrard","firstName":"Samuel","lastName":"Ouvrard","company":"AWS"},{"id":"1736355880889001PagA_17746331reinvent2026","displayName":"Beerinder Mann","name":"Beerinder Mann","firstName":"Beerinder","lastName":"Mann","company":"AWS"},{"id":"1740488201432001s3Kw_17746331reinvent2026","displayName":"Sebastien Perreault","name":"Sebastien Perreault","firstName":"Sebastien","lastName":"Perreault","company":"AWS"},{"id":"1758905078772001J98R_17746331reinvent2026","displayName":"Matt Boyd","name":"Matt Boyd","firstName":"Matt","lastName":"Boyd","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Disaster Response & Recovery"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1790358257482001i2tA","shortId":"STG332-R1","startDateTime":"2026-12-02T18:30:00.000Z","endDateTime":"2026-12-02T19:30:00.000Z","startTime":"10:30","endTime":"11:30","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358257482001i2tA","hash":"f2f4af22d43b1a8440028c6605202169","shortId":"STG332-R1","title":"Build AI agents on Amazon S3 Files","abstract":"S3 Files is the first cloud object store with fully-featured, high-performance file system access to your data. In this hands-on session, you'll create an S3 file system, attach it to an Amazon EKS cluster, and build an AI agent that loads model weights and processes data directly from S3 via standard file I/O. No SDK rewrites, no data duplication, just native POSIX access. You'll fine-tune synchronization behavior between S3 and the file system, controlling how data flows between object and file interfaces. Finally, you'll configure cross-Region replication to establish a disaster recovery strategy for your production workloads.","startDateTime":"2026-12-02T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-02T18:30:00.000Z","endDateTime":"2026-12-02T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790360386909001AHTy","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1725408370970001utMF_17746331reinvent2026","displayName":"Ananta Khanal","name":"Ananta Khanal","firstName":"Ananta","lastName":"Khanal","company":"Amazon Web Services"},{"id":"1741194868478001hZHq_17746331reinvent2026","displayName":"Samuel Ouvrard","name":"Samuel Ouvrard","firstName":"Samuel","lastName":"Ouvrard","company":"AWS"},{"id":"1736355880889001PagA_17746331reinvent2026","displayName":"Beerinder Mann","name":"Beerinder Mann","firstName":"Beerinder","lastName":"Mann","company":"AWS"},{"id":"1740488201432001s3Kw_17746331reinvent2026","displayName":"Sebastien Perreault","name":"Sebastien Perreault","firstName":"Sebastien","lastName":"Perreault","company":"AWS"},{"id":"1758905078772001J98R_17746331reinvent2026","displayName":"Matt Boyd","name":"Matt Boyd","firstName":"Matt","lastName":"Boyd","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Disaster Response & Recovery"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1780442231727001cqtw","shortId":"STG332-R","startDateTime":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","startTime":"16:00","endTime":"17:00","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442282456001cOWz","hash":"f378b568c2e2705c9b1007f31bc4474e","shortId":"MAM332-R","title":"Build AI agents to operate desktop and mainframe apps on WorkSpaces","abstract":"You rely on desktop and mainframe applications for critical workflows, but these interfaces remain inaccessible to AI agents. Your Robotic Process Automation efforts have struggled to keep pace as applications and configurations constantly change. Amazon WorkSpaces lets AI agents securely operate the same desktop and mainframe applications your employees use, without any application modernization. WorkSpaces supports Model Context Protocol (MCP), so it works with any agent framework. In this workshop, connect to a pre-provisioned WorkSpace, build a custom agent, run agents that complete desktop workflows, and monitor agent sessions with CloudWatch and CloudTrail. Bring laptop to participate.","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T18:30:00.000Z","endTime":"10:30","sessionTimeId":"1790025473104001CASA","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726528715801001JEH2_17746331reinvent2026","displayName":"Stephen Stetler","name":"Stephen Stetler","firstName":"Stephen","lastName":"Stetler","company":"Amazon Web Services"},{"id":"1725408320869001uaZk_17746331reinvent2026","displayName":"Dave Jaskie","name":"Dave Jaskie","firstName":"Dave","lastName":"Jaskie","company":"Amazon"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon WorkSpaces"}],"topics":[{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Workforce Development"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":150,"repeats":[{"id":"1790358231906001iTNH","shortId":"MAM332-R1","startDateTime":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","startTime":"15:00","endTime":"17:00","day":"Tuesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358231906001iTNH","hash":"3a94210eafee41023379d616219d2f4f","shortId":"MAM332-R1","title":"Build AI agents to operate desktop and mainframe apps on WorkSpaces","abstract":"You rely on desktop and mainframe applications for critical workflows, but these interfaces remain inaccessible to AI agents. Your Robotic Process Automation efforts have struggled to keep pace as applications and configurations constantly change. Amazon WorkSpaces lets AI agents securely operate the same desktop and mainframe applications your employees use, without any application modernization. WorkSpaces supports Model Context Protocol (MCP), so it works with any agent framework. In this workshop, connect to a pre-provisioned WorkSpace, build a custom agent, run agents that complete desktop workflows, and monitor agent sessions with CloudWatch and CloudTrail. Bring laptop to participate.","startDateTime":"2026-12-01T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790360379687001Afth","lastModified":"2026-11-06T01:26:13Z","speakers":[{"id":"1726528715801001JEH2_17746331reinvent2026","displayName":"Stephen Stetler","name":"Stephen Stetler","firstName":"Stephen","lastName":"Stetler","company":"Amazon Web Services"},{"id":"1725408320869001uaZk_17746331reinvent2026","displayName":"Dave Jaskie","name":"Dave Jaskie","firstName":"Dave","lastName":"Jaskie","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon WorkSpaces"}],"topics":[{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Workforce Development"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":112,"repeats":[{"id":"1780442282456001cOWz","shortId":"MAM332-R","startDateTime":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T18:30:00.000Z","startTime":"08:30","endTime":"10:30","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442231668001cg5F","hash":"18e8fbd214e399903579b3063e463ce1","shortId":"STG330","title":"Build AI photo discovery with Amazon S3 Vectors","abstract":"Learn how S3 Vectors turns millions of untagged images into a semantically searchable collection without standing up a separate vector database. In this builders' session, you will generate multi-modal embeddings from photo assets, store and index them in S3 Vectors with metadata predicates for filtered search, and wire an AI agent that discovers images using natural language queries. You will explore index configuration, batch ingestion throughput, and cost patterns at scale. You will leave with a working prototype and production patterns for building vector-native search directly on S3.","startDateTime":"2026-12-03T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025544249001CTfp","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726154275171001K8eP_17746331reinvent2026","displayName":"Bimal Gajjar","name":"Bimal Gajjar","firstName":"Bimal","lastName":"Gajjar","company":"Amazon"},{"id":"1740560741968001xfJB_17746331reinvent2026","displayName":"Arik Porat","name":"Arik Porat","firstName":"Arik","lastName":"Porat","company":"AWS"},{"id":"1760113720991001KlzX_17746331reinvent2026","displayName":"RK Vyas","name":"RK Vyas","firstName":"RK","lastName":"Vyas","company":"AWS"},{"id":"1764181947059001GSNf_17746331reinvent2026","displayName":"Krutarth Doshi","name":"Krutarth Doshi","firstName":"Krutarth","lastName":"Doshi","company":"Amazon Web Services"},{"id":"1736781668089001eUij_17746331reinvent2026","displayName":"Saket Jangle","name":"Saket Jangle","firstName":"Saket","lastName":"Jangle","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780442276774001cO7W","hash":"265be056a14d70010b797a64a1a71cd8","shortId":"BIZ312","title":"Build AI-Powered Analytics with Conversational BI on Amazon Quick","abstract":"Construct a complete AI-powered analytics pipeline, from data ingestion to conversational consumption. Use Amazon Quick's Data Catalog to discover data, query it live without moving it into SPICE, then enrich and import metadata with semantics inherited to build natural-language Q&A. In this hands-on workshop, you start with seven raw banking tables: no catalog, no definitions. An agent inspects the data and builds the catalog for you. You ask questions in plain English and get answers. An agent generates a dashboard showing which top customers are slipping. Another agent, aware of the bank's compliance rules, checks every offer before it ships. Then you automate the full response as a Quick Flow and wrap it in a custom app your team can use. You leave with a working banking command center that agents built, and that you can rebuild in your own account using conversational analytics.","startDateTime":"2026-12-01T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-12-01T23:30:00.000Z","endDateTime":"2026-12-02T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025508203001CnpI","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1728431494814001HLWY_17746331reinvent2026","displayName":"Neeraj Kumar","name":"Neeraj Kumar","firstName":"Neeraj","lastName":"Kumar","company":"AWS"},{"id":"1726854526438001oGkI_17746331reinvent2026","displayName":"salim khan","name":"salim khan","firstName":"salim","lastName":"khan","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":150},{"id":"1784231859855001E5oW","hash":"00df37342df84725f971b6c01f01941d","shortId":"TNC324-R","title":"Build AI-Powered Contact Center Agents with Amazon Connect","abstract":"Customer-facing AI Agents can resolve issues end-to-end. In this bootcamp, build two complementary AI agents on Amazon Connect AI Customer. First, create an agent-assistance copilot that watches live chats and surfaces real-time knowledge base answers and customer data lookups to human agents. Then build a self-service AI agent that handles routine customer requests autonomously, using MCP tools for Cases and Customer Profiles, and structured escalation paths that preserve full conversation context when a human is needed. ","startDateTime":"2026-11-30T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-11-30T21:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790015619578001C6M8","lastModified":"2026-11-06T14:04:50Z","speakers":[{"id":"1727195603842001MI9C_17746331reinvent2026","displayName":"Ted Trentler","name":"Ted Trentler","firstName":"Ted","lastName":"Trentler","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Bootcamp"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Connect"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":200,"repeats":[{"id":"1784231860784001E13l","shortId":"TNC324-R1","startDateTime":"2026-12-02T16:00:00.000Z","endDateTime":"2026-12-02T20:00:00.000Z","startTime":"08:00","endTime":"12:00","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1784231860784001E13l","hash":"df741b1d197662d8c7bcb275ae5f9ea7","shortId":"TNC324-R1","title":"Build AI-Powered Contact Center Agents with Amazon Connect","abstract":"Customer-facing AI Agents can resolve issues end-to-end. 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Leave with a reusable starting point for your own control plane and a pattern for using Kiro and Strands together to accelerate platform development.","startDateTime":"2026-11-30T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-11-30T21:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790360386559001AoqD","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1757003088645001FuZP_17746331reinvent2026","displayName":"Steve Drew","name":"Steve Drew","firstName":"Steve","lastName":"Drew","company":"AWS"},{"id":"1733147318376001Sj6n_17746331reinvent2026","displayName":"Ashley Chen","name":"Ashley Chen","firstName":"Ashley","lastName":"Chen","company":"AWS"},{"id":"1758906406673001IUML_17746331reinvent2026","displayName":"Andrew Powell","name":"Andrew Powell","firstName":"Andrew","lastName":"Powell","company":"Amazon Web Services"},{"id":"1739309094597001bVvt_17746331reinvent2026","displayName":"Pranjal Gururani","name":"Pranjal Gururani","firstName":"Pranjal","lastName":"Gururani","company":"Amazon Web Services"},{"id":"1725408313522001usyU_17746331reinvent2026","displayName":"Daniel Wirjo","name":"Daniel Wirjo","firstName":"Daniel","lastName":"Wirjo","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"SaaS"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1786342064464001PNWj","shortId":"DVT337-R","startDateTime":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","startTime":"11:30","endTime":"12:30","day":"Thursday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Forum 120 | Content Hub | Builders' Session 2"}]},{"id":"1780442230824001c1Jk","hash":"d15271936bede93857859071d4cb6604","shortId":"SEC352-R","title":"Build a security boundary for AI agents with WAF and Network Firewall","abstract":"Teams deploying AI agents inherit two exposures. Any client reaching the endpoint can invoke the agent, and it can reach any destination its tools name. In this builders' session, learn to close both gaps with AWS managed controls. Put AWS WAF Bot Control in front of your Amazon Bedrock AgentCore Gateway to classify callers and admit only the classes you choose, then route the agent through AWS Network Firewall and use domain category filtering to decide which destination categories it may reach. Run each control in count or alert mode, then enforce it and verify the allowed and the refused path. Leave with a two-boundary pattern you can apply to your own agent deployments.","startDateTime":"2026-12-02T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025516353001CnPr","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1740487152466001Rm9B_17746331reinvent2026","displayName":"Pedro Rosinholi","name":"Pedro Rosinholi","firstName":"Pedro","lastName":"Rosinholi","company":"AWS"},{"id":"1770340954948001zN95_17746331reinvent2026","displayName":"Alin Scurtu","name":"Alin Scurtu","firstName":"Alin","lastName":"Scurtu","company":"AWS"},{"id":"1725408378244001uayU_17746331reinvent2026","displayName":"Leonardo Azize","name":"Leonardo Azize","firstName":"Leonardo","lastName":"Azize","company":"AWS"},{"id":"1737571235219001HVZL_17746331reinvent2026","displayName":"PRAVEEN HOSUR NARAYANA GUPTA","name":"PRAVEEN HOSUR NARAYANA GUPTA","firstName":"PRAVEEN","lastName":"HOSUR NARAYANA GUPTA","company":"AWS India"},{"id":"1740551456630001gqtP_17746331reinvent2026","displayName":"Prabhu G","name":"Prabhu G","firstName":"Prabhu","lastName":"G","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Network Firewall"},{"id":"Services","displayName":"AWS WAF"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Edge Computing"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1790871965922001gRAH","shortId":"SEC352-R1","startDateTime":"2026-12-02T00:30:00.000Z","endDateTime":"2026-12-02T01:30:00.000Z","startTime":"16:30","endTime":"17:30","day":"Tuesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790871965922001gRAH","hash":"a2bf9093fb83f3aebe2094d8d5498733","shortId":"SEC352-R1","title":"Build a security boundary for AI agents with WAF and Network Firewall","abstract":"Teams deploying AI agents inherit two exposures. Any client reaching the endpoint can invoke the agent, and it can reach any destination its tools name. In this builders' session, learn to close both gaps with AWS managed controls. Put AWS WAF Bot Control in front of your Amazon Bedrock AgentCore Gateway to classify callers and admit only the classes you choose, then route the agent through AWS Network Firewall and use domain category filtering to decide which destination categories it may reach. Run each control in count or alert mode, then enforce it and verify the allowed and the refused path. Leave with a two-boundary pattern you can apply to your own agent deployments.","startDateTime":"2026-12-02T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-02T00:30:00.000Z","endDateTime":"2026-12-02T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790872433780001dAst","lastModified":"2026-11-02T19:28:26Z","speakers":[{"id":"1770340954948001zN95_17746331reinvent2026","displayName":"Alin Scurtu","name":"Alin Scurtu","firstName":"Alin","lastName":"Scurtu","company":"AWS"},{"id":"1725408378244001uayU_17746331reinvent2026","displayName":"Leonardo Azize","name":"Leonardo Azize","firstName":"Leonardo","lastName":"Azize","company":"AWS"},{"id":"1740487152466001Rm9B_17746331reinvent2026","displayName":"Pedro Rosinholi","name":"Pedro Rosinholi","firstName":"Pedro","lastName":"Rosinholi","company":"AWS"},{"id":"1740551456630001gqtP_17746331reinvent2026","displayName":"Prabhu G","name":"Prabhu G","firstName":"Prabhu","lastName":"G","company":"Amazon Web Services"},{"id":"1737571235219001HVZL_17746331reinvent2026","displayName":"PRAVEEN HOSUR NARAYANA GUPTA","name":"PRAVEEN HOSUR NARAYANA GUPTA","firstName":"PRAVEEN","lastName":"HOSUR NARAYANA GUPTA","company":"AWS India"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Network Firewall"},{"id":"Services","displayName":"AWS WAF"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Edge Computing"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1780442230824001c1Jk","shortId":"SEC352-R","startDateTime":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","startTime":"10:00","endTime":"11:00","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442256149001ccAT","hash":"db0484e9209b101a169b0bc850a0d114","shortId":"DVT227","title":"Build a team shared agent workflow from issue to tested PR","abstract":"How do you let agents carry development work across teammates without handing over control? In this code talk, build an issue-to-review workflow that you can share with your team. Follow the code and configuration for setting up guardrails, permissions, shared workflows, logging, and best practices, so teammates can steer the implementation or review who requested or approved each action alongside the evidence the agent produced. Bring questions and follow along as we explain why each boundary exists and how to adapt the pattern to your toolchain and approval process.","startDateTime":"2026-12-03T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1791575951550001tZGF","lastModified":"2026-11-06T02:01:05Z","speakers":[{"id":"1793199876198001KfAr_17746331reinvent2026","displayName":"Zezhen Xu","name":"Zezhen Xu","firstName":"Zezhen","lastName":"Xu","company":"Amazon Kiro"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":66},{"id":"1780442231999001cM4N","hash":"c93b96a41a69080d9e586fc0b971edf2","shortId":"ANT340","title":"Build at scale real-time ingestion pipelines for Apache Iceberg tables","abstract":"Landing streaming data into Apache Iceberg at scale is a complex undertaking. In this chalk talk, we dissect three reference architectures for real-time ingestion into Iceberg tables on Amazon S3 Tables: zero-code delivery with streaming tables for Amazon MSK and Amazon Kinesis Data Streams, in-stream enrichment with Amazon Managed Service for Apache Flink, and change data capture from operational databases with Apache Flink CDC and zero-ETL integrations. Learn which architecture fits your latency and cost requirements, how to keep Iceberg tables query-ready under continuous writes, and how these pipelines feed downstream analytics and AI workloads.","startDateTime":"2026-12-02T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-02T19:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025517629001C0rw","lastModified":"2026-11-03T20:09:30Z","speakers":[{"id":"1725566554596001SSqf_17746331reinvent2026","displayName":"Pratik Patel","name":"Pratik Patel","firstName":"Pratik","lastName":"Patel","company":"Amazon"},{"id":"1725566542812001SVQa_17746331reinvent2026","displayName":"Umesh Chaudhari","name":"Umesh Chaudhari","firstName":"Umesh","lastName":"Chaudhari","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Managed Streaming for Apache Kafka (Amazon MSK)"},{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70},{"id":"1780442228149001cVk6","hash":"112e8b0f287a8124967b359539224748","shortId":"IND306","title":"Build a unified student insight platform on AWS Quick","abstract":"Advisors triaging at-risk students, deans auditing course difficulty, executives tracking retention: every university role needs student-success insights, but the tools they rely on today are disconnected, static, and slow to surface risk before it becomes attrition. In this builders’ session, learn how to use AWS Quick to understand your institutional data and deliver explainable, persona-aware insights through one architecture. See how advisors can identify at risk students with cited data, trigger early intervention when a student’s risk score changes, and generate executive ready reports that connect student outcomes to optimized resource allocation and institutional strategy. ","startDateTime":"2026-11-30T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-11-30T17:00:00.000Z","endDateTime":"2026-11-30T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025474757001CxEi","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1739787634368001JH6y_17746331reinvent2026","displayName":"Abdilmajide Ali","name":"Abdilmajide Ali","firstName":"Abdilmajide","lastName":"Ali","company":"Amazon Web Services"},{"id":"1757003080951001Fcu7_17746331reinvent2026","displayName":"Mohamed Salah","name":"Mohamed Salah","firstName":"Mohamed","lastName":"Salah","company":"AWS"},{"id":"1737987543560001m584_17746331reinvent2026","displayName":"Jumana Nagaria","name":"Jumana Nagaria","firstName":"Jumana","lastName":"Nagaria","company":"Amazon Web Services"},{"id":"1758084663747001sYx4_17746331reinvent2026","displayName":"Mohammed Reda","name":"Mohammed Reda","firstName":"Mohammed","lastName":"Reda","company":"AWS"},{"id":"1740648772923001EBFs_17746331reinvent2026","displayName":"Akash Doshi","name":"Akash Doshi","firstName":"Akash","lastName":"Doshi","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Q"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Business Intelligence"},{"id":"AreaofInterest","displayName":"Tech for Impact"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Education"}],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1787870984257001H8vq","hash":"ccf39cca612c5b161a557c27bc3ca83e","shortId":"INV301-S","title":"Build Autonomous Agents and Run AI-Powered AppSec on Bedrock (sponsored by OpenAI)","abstract":"Go hands-on with OpenAI models on Amazon Bedrock across two builder tracks. First, stand up a fully managed autonomous agent with Amazon Bedrock Managed Agents: define instructions and tools, wire action groups for API access, and ground responses in your own data through knowledge bases. Then shift to code security, using OpenAI's Codex Security Plugin to review a real vulnerable app by running scans, threat modeling, triaging findings, and fixing one with verified remediation. Throughout, inference runs securely on Bedrock under your account's controls. You'll leave with repeatable blueprints for building agentic OpenAI applications and for AI-assisted application security on AWS. Workstations are provided; no reservation needed. Labs are 30-60 min. This presentation is brought to you by OpenAI, an AWS Partner.","startDateTime":"2026-11-30T16:00:00.000Z","startTime":"08:00","startTimeFormatted":"2026-11-30T16:00:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790366010803001jpZU","lastModified":"2026-11-05T22:00:18Z","speakers":[],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Innovation Labs","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Monday","type":{"id":"Type","displayName":"Lab"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"},{"id":"Features","displayName":"Self-paced"}],"seatCapacity":0},{"id":"1780442280853001cz36","hash":"0c40ea609a2810b11040664f2bb5d70c","shortId":"IND403","title":"Build a Video Semantic Layer for Media Agent and Agent Harness on AWS","abstract":"This workshop tackles a question most media organizations have yet to ask: your video pipeline extracts rich metadata for human search and discovery, but is it actually optimized for agents? In this hands-on session, you will build the semantic infrastructure that bridges that gap: multimodal embeddings tuned for machine recall, hybrid search that combines vector similarity with keyword precision, and an entity graph that maps content relationships into structures agents can reason over. 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In this session, you will build a well-governed text-to-SQL agentic solution for Amazon Redshift with security gates that validate every AI-generated query before execution including schema allow-listing to constraining LLM context, authorized tables, columns and rows, SQL AST validation and enforced read-only access.","startDateTime":"2026-12-01T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025506748001CbDf","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1737657278022001ptti_17746331reinvent2026","displayName":"Andre Hass","name":"Andre Hass","firstName":"Andre","lastName":"Hass","company":"Amazon Web Services"},{"id":"1758906397129001IqgR_17746331reinvent2026","displayName":"Vinayaka Gangadhar","name":"Vinayaka Gangadhar","firstName":"Vinayaka","lastName":"Gangadhar","company":"AWS (Amazon Web Services)"},{"id":"1740645213891001QRH1_17746331reinvent2026","displayName":"Ivan Fernandez Perea","name":"Ivan Fernandez Perea","firstName":"Ivan","lastName":"Fernandez Perea","company":"Amazon Web Services"},{"id":"1737660601744001l56Z_17746331reinvent2026","displayName":"Ajay Kumar Govindaram","name":"Ajay Kumar Govindaram","firstName":"Ajay Kumar","lastName":"Govindaram","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Redshift"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780442232461001cI4x","hash":"35d3de30e9e75d4a574c1470d20aae85","shortId":"ANT322-R","title":"Build better agent retrieval with OpenSearch Service","abstract":"Your AI agents and assistants are only as good as the answers they retrieve. Out-of-the-box frameworks get you started, but production-ready AI applications demand more from their search layer including higher relevance on complex queries, persistent memory across sessions, and tools the model can invoke reliably. Amazon OpenSearch Service delivers these capabilities natively. In this chalk talk, we dig into how to make OpenSearch Service the backbone of your AI agents and assistants, covering hybrid retrieval for better accuracy, MCP-based access to your data, and built-in conversation and long-term memory so your applications maintain context across interactions. Bring your architecture questions. 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Out-of-the-box frameworks get you started, but production-ready AI applications demand more from their search layer including higher relevance on complex queries, persistent memory across sessions, and tools the model can invoke reliably. Amazon OpenSearch Service delivers these capabilities natively. In this chalk talk, we dig into how to make OpenSearch Service the backbone of your AI agents and assistants, covering hybrid retrieval for better accuracy, MCP-based access to your data, and built-in conversation and long-term memory so your applications maintain context across interactions. Bring your architecture questions. 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We’ll discuss how organizations are migrating CAE and CFD workloads from on premises to AWS, combining scalable HPC infrastructure with cloud-native engineering applications to accelerate product development. 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This session follows a real agent running on AWS and the decisions behind it. Explore serverless compute choices for agents: Lambda durable functions for orchestration and long-running workflows, and Lambda MicroVMs for running untrusted agent-generated code in isolation. Learn how to secure agents with IAM, AgentCore Identity, gateways, and secrets management, making agents stateful with RAG knowledge bases and AgentCore Memory. Control cost through token visibility, caching, pause-snapshot-resume, and right-sizing. 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In this chalk talk, we'll explore how Nodestream connects data sources like Apache Kafka, APIs, and files to graph databases with automatic schema migrations and zero database-specific code. We'll dive into the Amazon Neptune plugin, discuss how declarative pipelines eliminate brittle ETL, and share lessons learned from real world customer scenarios. Bring your graph data challenges and we'll solve them live.","startDateTime":"2026-12-03T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-03T00:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025527614001COgq","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408275525001u9zU_17746331reinvent2026","displayName":"Kelvin Lawrence","name":"Kelvin Lawrence","firstName":"Kelvin","lastName":"Lawrence","company":"AWS"},{"id":"1725408275361001uQMM_17746331reinvent2026","displayName":"Taylor Riggan","name":"Taylor Riggan","firstName":"Taylor","lastName":"Riggan","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Forum 103","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Neptune Analytics"}],"topics":[{"id":"Topic","displayName":"Databases"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Open Data"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1780442257414001cncX","hash":"45edc5abc75405b371ab9bc2666879c9","shortId":"SEC310","title":"Building production-ready agents securely: lessons from AWS at scale","abstract":"Most AI agent demos work on stage but break in production. 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We walk through specific scenarios such as deployment failures, Availability Zone impairments, and dependency cascades that cycle tasks faster than you can debug them. We discuss architectural patterns, ECS capabilities for resilience, and common mistakes to avoid that turn minor issues into incidents. 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A payments API needs different safeguards than a marketing page. In this workshop, learn how to match Amazon ECS deployment strategies to your workload requirements. Configure blue/green deployments for services requiring instant failback, canary deployments for APIs where you validate with real traffic before full cutover, and linear deployments for gradual migrations that build confidence at each step. Integrate pause hooks for manual approvals and external validation, and set alarm-based triggers that automatically revert bad releases before customers notice. 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This session will offer a preview of their collaborative approach to that joint agent verification solution, examining how skills-based evaluation could help organizations build confidence in AI agents as they scale adoption and integrate human and digital talent across the workforce.","startDateTime":"2026-12-02T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-02T19:30:00.000Z","endDateTime":"2026-12-02T19:50:00.000Z","endTime":"11:50","sessionTimeId":"1790033122309001q58Z","lastModified":"2026-11-03T22:08:29Z","speakers":[{"id":"1790792807404001V9A0_17746331reinvent2026","displayName":"Juan Garcia","name":"Juan Garcia","firstName":"Juan","lastName":"Garcia","company":"Pearson"}],"venueRoomName":"Level 2 | Hall B | Expo | Industry Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Workforce Development"},{"id":"AreaofInterest","displayName":"Identity & Access Management"},{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780441486507001G04c","hash":"18fff56f4a93a2d25b62d0b43e3ba0b1","shortId":"SEC217-S","title":"Building Trust into Agentic AI on AWS in the Age of Autonomous Agents (sponsored by Check Point)","abstract":"AI agents are evolving from assistants into autonomous systems that call APIs and take actions on behalf of users. Traditional perimeter controls aren't enough; threats now emerge from prompt injection, excessive permissions, and unmonitored tool use. In this session, we'll show how Check Point's AI security intelligence integrates with Amazon Bedrock AgentCore to enforce real-time guardrails at the agent runtime layer inspecting intent, validating actions, and preventing policy violations before they execute. Walk away with a practical framework for securing agentic AI on AWS with Check Point. 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That changes how solutions are built and deployed. Traditional delivery practices are evolving to agentic delivery, outcome-based models, and scalable IP transacted through AWS Marketplace. Partners moving first are delivering measurable business outcomes faster and building new revenue alongside their customers. In this session, learn the three-stage practice-building path. See how Forward Deployed Engineering gives partners a new engagement architecture and faster delivery: pod-based, and time-boxed. See where AWS co-investment programs and AI-specific enrollment paths de-risk each stage of practice growth. Walk away with example GTM models and a concrete action plan.","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025500855001C3ve","lastModified":"2026-11-06T00:48:04Z","speakers":[{"id":"1726668674639001movQ_17746331reinvent2026","displayName":"Erik Farr","name":"Erik Farr","firstName":"Erik","lastName":"Farr","company":"AWS"},{"id":"1726686759994001eeza_17746331reinvent2026","displayName":"Lynn Cain","name":"Lynn Cain","firstName":"Lynn","lastName":"Cain","company":"AWS"},{"id":"1734277717425001BdY1_17746331reinvent2026","displayName":"Scott Bends","name":"Scott Bends","firstName":"Scott","lastName":"Bends","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Marketplace"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780442231255001c0BX","hash":"35bc444ac18ca4a68e7c30fbb5ae755b","shortId":"SVS202-R","title":"Building your first event-driven application","abstract":"A customer places an order. Inventory updates. Payment processes. Notifications fire. In a monolith, one failure cascades through everything. In this builders' session, build a retail order system where each step runs independently using Amazon EventBridge, AWS Lambda, and Amazon DynamoDB. Through guided exercises, you'll publish and subscribe to events, handle failures in one service without breaking others, and trace event flows across your system. No prior event-driven experience required—you'll leave with a working application and the core patterns for decomposing synchronous workflows into resilient, asynchronous systems. Bring your laptop.","startDateTime":"2026-12-01T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025497258001CHW9","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1740154996007001FWTd_17746331reinvent2026","displayName":"Tamas Santa","name":"Tamas Santa","firstName":"Tamas","lastName":"Santa","company":"Amazon Web Services"},{"id":"1726012409226001gDcF_17746331reinvent2026","displayName":"Vinodh Kannan Sadayamuthu","name":"Vinodh Kannan Sadayamuthu","firstName":"Vinodh Kannan","lastName":"Sadayamuthu","company":"AWS"},{"id":"1739428166497001VQps_17746331reinvent2026","displayName":"Akanksha Bodhankar","name":"Akanksha Bodhankar","firstName":"Akanksha","lastName":"Bodhankar","company":"Amazon Web Services"},{"id":"1739584311030001EHlE_17746331reinvent2026","displayName":"Mohammed Atiq","name":"Mohammed Atiq","firstName":"Mohammed","lastName":"Atiq","company":"Amazon Web Services"},{"id":"1739234596837001LPvt_17746331reinvent2026","displayName":"Sarath Kumar","name":"Sarath Kumar","firstName":"Sarath","lastName":"Kumar","company":"Amazon Web Services Inc"}],"venueRoomName":"Level 1 | Alliance 311","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon DynamoDB"},{"id":"Services","displayName":"Amazon EventBridge"},{"id":"Services","displayName":"AWS Lambda"}],"topics":[{"id":"Topic","displayName":"Application Integration"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Event-Driven Architecture"},{"id":"AreaofInterest","displayName":"Lambda-Based Applications"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1790358231790001iZlP","shortId":"SVS202-R1","startDateTime":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Tuesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358231790001iZlP","hash":"00ce23e0f4ce0a82a26fee008561e84b","shortId":"SVS202-R1","title":"Building your first event-driven application","abstract":"A customer places an order. 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Most teams building a software factory stop at code generation, even though testing, securing, deploying, and optimizing code safely decides how fast software ships. This session shows how to extend your factory from your first ticket to production. We’ll look at how the agents at each stage pass work to the next and pull in a person only when a decision needs judgment, all within governance your organization already trusts. Then we’ll show it live. Cosmos, the Harness Software Factory Agent, will fix an issue, then feed the change back into Harness for policy checks and deployment. You’ll leave knowing where your factory is waiting and what it takes to close each gap. This presentation is brought to you by Harness, an AWS Partner.","startDateTime":"2026-11-30T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025494496001Cxlw","lastModified":"2026-11-05T13:49:04Z","speakers":[{"id":"1731968087608001hCvE_17746331reinvent2026","displayName":"Nick Durkin","name":"Nick Durkin","firstName":"Nick","lastName":"Durkin","company":"Harness, Inc."}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Data Protection"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":162},{"id":"1780442260004001cWOi","hash":"4738dd816078ec97ace52139e766b1d3","shortId":"CMP352","title":"Building zero-trust personal AI with EC2 confidential computing","abstract":"Learn how Bee built a personal AI assistant where privacy is cryptographically guaranteed - not policy-promised. 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Connect to enterprise systems through MCP servers on Bedrock AgentCore, implement inter-agent communication, configure OAuth 2.0 authentication, and deploy autonomous workflows using Quick Flows. 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Learn how Kiro uses neurosymbolic techniques to understand what you want to build, removing ambiguity, contradictions, and gaps in your requirements before any code is generated. 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Customer support chatbots and coding assistants may prioritize responsiveness, while large-scale document processing can favor greater cost efficiency. Some workloads can tolerate flexible processing times, while others need predictable capacity and performance. Healthcare applications may also need inference processing to remain within a specific geography. 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Today, Amazon Bedrock and Amazon Bedrock AgentCore make the path to production more straightforward—but technology alone does not create value. AI initiatives often stall because ROI is undefined and business, user, and technical priorities are disconnected. Learn how Slalom’s Forward Deployed Expertise (FDX) model places a cross-functional team spanning product, business, industry, UX, and technology alongside customers. Using real data, these teams compare opportunities, prioritize the highest-value use cases, and co-build the right next thing through production, adoption, and measurable outcomes. 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In this talk, an AI agent builds a feature and, in the same pull request, creates the context it needs on call: instrumentation, alarms, dashboards, and skills, all as code. Then you break the live app. Watch an agent use those skills with Amazon CloudWatch Omni and AWS DevOps Agent to triage, find the root cause, and ship the fix. 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Teams want to deploy agents into critical business workflows, but it's hard to know if agents are behaving as intended or returning wrong answers.​\n\n​\n\nIn this talk, you’ll learn how to observe the entire AI stack,\noptimize tokenomics, and see a demo on how to evaluate\nand control agent behavior with guardrails to stop harmful\nor inaccurate outputs. All of this can be done in near real-\ntime and at low cost.​ This presentation is brought to you by Splunk by Cisco, an AWS Partner.","startDateTime":"2026-12-02T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-02T00:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790034533835001pFm4","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1788989484783001VXFk_17746331reinvent2026","displayName":"Greg Leffler","name":"Greg Leffler","firstName":"Greg","lastName":"Leffler","company":"Cisco (Splunk)"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Purple Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Resilience"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Tech Explorer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780441464360001Gyb9","hash":"507c27d91938fe6c5a88b3f1d47e9370","shortId":"AIM217","title":"Build Voice AI experiences with Amazon Polly and Transcribe","abstract":"Give your applications a voice and ears. This session shows how Amazon Transcribe converts speech to text and Amazon Polly turns text into lifelike speech. See how to build real-time voice agents, and multilingual experiences, with practical patterns for latency, accuracy, and scale.","startDateTime":"2026-12-02T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025522959001CS5y","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1732218542007001lazo_17746331reinvent2026","displayName":"Veerdhawal (Veer) Pande","name":"Veerdhawal (Veer) Pande","firstName":"Veerdhawal (Veer)","lastName":"Pande","company":"Amazon"},{"id":"1791992999270001FVKp_17746331reinvent2026","displayName":"Nikie Xiong","name":"Nikie Xiong","firstName":"Nikie","lastName":"Xiong","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780442253682001cCNz","hash":"b1b340433a1480965e2a540824b2991a","shortId":"AIM356","title":"Build voice-enabled applications with Amazon Polly and Amazon Transcribe","abstract":"We'll use Amazon Polly and Amazon Transcribe to add natural speech and accurate transcription to your applications. With Polly, you'll build expressive, emotionally engaged voices using its generative and long-form engines, covering streaming audio, speech marks for word-level timing, and newscaster styles. With Transcribe, you'll turn speech into text for captions, search, and analytics, handling real-time streaming and batch workloads. We'll show how these services work together to power voice agents, accessibility features, and conversational experiences, giving your applications the ability to both speak and listen naturally across a wide range of use cases and customer scenarios.","startDateTime":"2026-12-02T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-02T17:00:00.000Z","endDateTime":"2026-12-02T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790033115588001qwL0","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1770349832324001N0P9_17746331reinvent2026","displayName":"Venkat Gomatham","name":"Venkat Gomatham","firstName":"Venkat","lastName":"Gomatham","company":"Amazon"},{"id":"1790266827285001ME1C_17746331reinvent2026","displayName":"Deepthi Devanira","name":"Deepthi Devanira","firstName":"Deepthi","lastName":"Devanira","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":120},{"id":"1780442269236001ctSR","hash":"bfbd5917b880a7e77501eeb07d0499cf","shortId":"NET220-S","title":"Build What’s Next with an AI-Ready Programmable Network (sponsored by Lumen)","abstract":"As AI, cloud, and data-intensive applications reshape business, infrastructure must become as dynamic as the workloads it supports. 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This chalk talk replaces that with a number you measure on your game: cost per player at your tick rate. At the whiteboard we answer three questions: what does one tick cost, how many players fit, and what does a player cost? You’ll see how to time the whole tick in Unreal Engine and Unity, load a server with bots or thin clients against a failure rule set up front, and repeat across instances. 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From AI/ML training checkpoints to real-time analytics and high-frequency data pipelines, choosing between Amazon S3 Express One Zone, Amazon FSx for Lustre, and instance storage depends on access patterns, throughput needs, and cost constraints. In this chalk talk, we break down the decision framework for selecting low-latency storage across common workload types. Bring your architecture questions as we compare directory buckets, parallel file systems, and caching strategies side by side. Leave with a clear mental model for matching your performance requirements to the right AWS storage tier. ","startDateTime":"2026-11-30T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-11-30T19:30:00.000Z","endDateTime":"2026-11-30T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025482204001Cie4","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408436813001uf65_17746331reinvent2026","displayName":"John Mallory","name":"John Mallory","firstName":"John","lastName":"Mallory","company":"Amazon Web Services"},{"id":"1727724876534001P1Qd_17746331reinvent2026","displayName":"Mike Houle","name":"Mike Houle","firstName":"Mike","lastName":"Houle","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Application Integration"},{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Management & Governance"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82},{"id":"1780441502669001GO48","hash":"598935888b56011a3ed6820a1a5719bd","shortId":"STG202-R","title":"Choosing the right AWS storage service","abstract":"AWS storage spans block, file, and object services alongside purpose-built storage for vectors, tables, and migration, each optimized for distinct access patterns, latency requirements, and cost profiles. Choosing the most efficient option can help you reduce complexity, over-provisioning, or rearchitecting later. In this chalk talk, AWS storage experts walk you through a decision framework based on workload characteristics, not product names. Bring your architecture questions and work through real scenarios interactively. You will leave with a clear mental model for matching workloads to storage services and the confidence to make the right decision as your requirements evolve.","startDateTime":"2026-11-30T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-11-30T18:30:00.000Z","endDateTime":"2026-11-30T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025479744001C77R","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1727892493249001dtWC_17746331reinvent2026","displayName":"Hiren Chandiramani","name":"Hiren Chandiramani","firstName":"Hiren","lastName":"Chandiramani","company":"Amazon"},{"id":"1726154268870001K24d_17746331reinvent2026","displayName":"Christian Smith","name":"Christian Smith","firstName":"Christian","lastName":"Smith","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Migration & Modernization"},{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Well-Architected Framework"},{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":98,"repeats":[{"id":"1790358234483001iTDy","shortId":"STG202-R1","startDateTime":"2026-12-02T18:30:00.000Z","endDateTime":"2026-12-02T19:30:00.000Z","startTime":"10:30","endTime":"11:30","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1790358234483001iTDy","hash":"c8d6fa55ec4c6873a7a77e97e67f9699","shortId":"STG202-R1","title":"Choosing the right AWS storage service","abstract":"AWS storage spans block, file, and object services alongside purpose-built storage for vectors, tables, and migration, each optimized for distinct access patterns, latency requirements, and cost profiles. 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You will leave with a clear mental model for matching workloads to storage services and the confidence to make the right decision as your requirements evolve.","startDateTime":"2026-12-02T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-02T18:30:00.000Z","endDateTime":"2026-12-02T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790360371298001ARlk","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1727892493249001dtWC_17746331reinvent2026","displayName":"Hiren Chandiramani","name":"Hiren Chandiramani","firstName":"Hiren","lastName":"Chandiramani","company":"Amazon"},{"id":"1726154268870001K24d_17746331reinvent2026","displayName":"Christian Smith","name":"Christian Smith","firstName":"Christian","lastName":"Smith","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Migration & Modernization"},{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Well-Architected Framework"},{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780441502669001GO48","shortId":"STG202-R","startDateTime":"2026-11-30T18:30:00.000Z","endDateTime":"2026-11-30T19:30:00.000Z","startTime":"10:30","endTime":"11:30","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780441475015001GXRk","hash":"03d79bcec322b7ae7f07684b01b12bbe","shortId":"HMC303","title":"Choosing the right hybrid deployment for your AI workloads","abstract":"Organizations are running AI workloads for model training, fine-tuning, reinforcement learning and inference, across an expanding set of environments, including AWS Regions, AWS Local Zones, AWS Outposts, AWS Dedicated Local Zones, and AWS AI Factories. The right deployment option depends on latency, data sovereignty, compute density, and scale. See how customers deploy accelerated AI across the hybrid spectrum: NVIDIA GPU-based and AWS Trainium-powered instances in Local Zones, purpose-built AWS AI Factories for large-scale training and model serving, and edge deployments for real-time inference. Hear how customers navigate these decisions, including Databricks tapping GPU capacity on AWS Local Zones and T-Mobile running latency-sensitive distributed inference, and learn which environment fits each AI workload without compromising performance and compliance.","startDateTime":"2026-11-30T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-11-30T17:00:00.000Z","endDateTime":"2026-11-30T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025474691001CNSh","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1790268185558001t0cI_17746331reinvent2026","displayName":"Shivam Saggar","name":"Shivam Saggar","firstName":"Shivam","lastName":"Saggar","company":"Amazon Web Services"},{"id":"1789597068853001KAgq_17746331reinvent2026","displayName":"Shelby Seward","name":"Shelby Seward","firstName":"Shelby","lastName":"Seward","company":"T-Mobile"},{"id":"1725408488177001uJZP_17746331reinvent2026","displayName":"Chris McEvilly","name":"Chris McEvilly","firstName":"Chris","lastName":"McEvilly","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Local Zones"},{"id":"Services","displayName":"AWS Outposts"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780441465771001GPVt","hash":"3f2caf3e34e26deb356f3bcd603ada3d","shortId":"BIZ109","title":"Citizens Bank: Building AI-Native CX from Vision to Production","abstract":"Financial services customers expect fast, personalized service, but compliance, security, and regulatory requirements make automation a high-stakes challenge. Discover how Amazon Connect Customer enables financial institutions to design agentic customer experiences, where AI self-service blends autonomous reasoning with deterministic guardrails for identity verification, fraud checks, and regulatory disclosures. Learn how business teams, not only engineers, build and refine these experiences, automating complex interactions like account servicing, disputes, and payments while maintaining full compliance and governance. See how Citizens Bank lifted containment by 30 points, elevated CSAT, and transformed their contact center without compromising trust.","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025548529001ClSo","lastModified":"2026-11-06T00:48:04Z","speakers":[{"id":"1726755658677001haUr_17746331reinvent2026","displayName":"Sheila Smith","name":"Sheila Smith","firstName":"Sheila","lastName":"Smith","company":"AWS"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Orange Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1787870983874001HCun","hash":"8ac53aecd44831193fac6813e9c40c37","shortId":"INV003-S","title":"Claude Code: From first feature to optimized agentic workflows (sponsored by Anthropic)","abstract":"Claude Code is Anthropic's agentic coding tool. Point it at a codebase and choose your path, self-paced in the browser on Amazon Bedrock. In the Build with Claude track, give Claude project context, explore an unfamiliar repository, then plan, implement, and test a change you watch run - no experience required. In the Scale with Agents track, orchestrate parallel subagents across an agentic app, add review and verification gates, then apply Anthropic-authored skills to improve its performance and lower cost. Terminal experience assumed. Workstations are provided; no reservation needed. Labs are 30-60 min. This presentation is brought to you by Anthropic, an AWS Partner.","startDateTime":"2026-12-02T16:00:00.000Z","startTime":"08:00","startTimeFormatted":"2026-12-02T16:00:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790621067443001hcQP","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Innovation Labs","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lab"},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"},{"id":"Features","displayName":"Self-paced"}],"seatCapacity":0},{"id":"1780441465033001GxrL","hash":"0d8b088ff8f0619501a9cd7ec8f2b1c7","shortId":"AIM372","title":"Claude It Your Way: Anthropic on AWS","abstract":"Your teams want Claude for coding, agents, and knowledge work, and there are more ways than ever to reach it. This session maps every path to Anthropic on AWS. Start with the models, served two ways: Amazon Bedrock, with Haiku for speed, Sonnet for balance, and Opus for long-running agentic work, or Claude Platform on AWS for Anthropic's first-party API. Add applications on top: Claude Code for agentic development, Claude Desktop for broader knowledge work. Govern both with the Claude apps gateway, one control plane across them. See how these layers fit your teams' needs.","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025512279001CLdU","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1727107484540001cKXR_17746331reinvent2026","displayName":"Ayan Ray","name":"Ayan Ray","firstName":"Ayan","lastName":"Ray","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Purple Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780441489526001GnQ1","hash":"54f0769d09a9dffbc5c791bd35500b18","shortId":"DVT214-S","title":"Claude Keeps Building: How Coding Agents Change Software Development (sponsored by Anthropic)","abstract":"Coding agents make sustained, autonomous progress on real software. The question is what happens to the rest of the software development lifecycle. Claude Code runs for hours unattended, works beyond the terminal, and takes on more of the work around the code. We'll show where it stands and how engineering changes when the whole lifecycle becomes automatable: what engineers do, how review and testing evolve, where quality comes from when code is cheap. Live demos on AWS and numbers from our engineering, where Claude writes most of our code. This presentation is brought to you by Anthropic, an AWS Partner.","startDateTime":"2026-11-30T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-11-30T21:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025487488001CYuf","lastModified":"2026-11-06T01:41:08Z","speakers":[{"id":"1792790893969001IJ28_17746331reinvent2026","displayName":"Morgan Lunt","name":"Morgan Lunt","firstName":"Morgan","lastName":"Lunt","company":"Anthropic"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Workforce Development"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":256},{"id":"1780442267483001cfCy","hash":"09361e24b06e3bd17eba4ebcdd1af14e","shortId":"MAM216-S","title":"Cleared for Takeoff Hybrid Observability at the Busiest Airport (sponsored by SolarWinds)","abstract":"Managing over a thousand network nodes across terminals, baggage systems, and cloud infrastructure requires more than reactive troubleshooting. Join Cedric Reed, Network Administrator at Hartsfield-Jackson Atlanta International Airport, and SolarWinds to discover how the world’s busiest airport replaced manual oversight with proactive observability. Learn how unified visibility across on-premises hardware and AWS Cloud eliminates noise, reduces downtime, and keeps critical systems online for millions of daily travelers. Discover how hop-by-hop visualization and real-time telemetry seamlessly monitor a vast network of surveillance systems covering the entire 7-mile campus to optimize operational resilience and passenger safety. This presentation is brought to you by SolarWinds, an AWS Partner.","startDateTime":"2026-12-01T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-01T22:30:00.000Z","endDateTime":"2026-12-01T22:50:00.000Z","endTime":"14:50","sessionTimeId":"1790033121875001qins","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1785176010051001cFeZ_17746331reinvent2026","displayName":"Gregory Fetterhoff","name":"Gregory Fetterhoff","firstName":"Gregory","lastName":"Fetterhoff","company":"SolarWinds, Inc"},{"id":"1789702979098001G7Ri_17746331reinvent2026","displayName":"Cedric Reed","name":"Cedric Reed","firstName":"Cedric","lastName":"Reed","company":"City Of Atlanta - Dept Of Aviation"}],"venueRoomName":"Level 2 | Hall B | Expo | Industry Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon GuardDuty"},{"id":"Services","displayName":"AWS CloudTrail"},{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1781893628565001qoxo","hash":"ca197573728025e3fb0101952a536e36","shortId":"OPN310-R","title":"CLI Agent Orchestrator: Open source multi-agent AI for developer CLIs","abstract":"Complex projects outgrow a single AI agent's context and capability. 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You'll walk away with a multi-agent workflow to drop into your projects.","startDateTime":"2026-12-01T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025497774001C78c","lastModified":"2026-11-05T03:40:48Z","speakers":[{"id":"1787937195187001GczV_17746331reinvent2026","displayName":"Anil Kumar","name":"Anil Kumar","firstName":"Anil","lastName":"Kumar","company":"Amazon"},{"id":"1770343993665001GrwY_17746331reinvent2026","displayName":"Haofei Feng","name":"Haofei Feng","firstName":"Haofei","lastName":"Feng","company":"AWS"},{"id":"1770342463249001Fw7Y_17746331reinvent2026","displayName":"Augusto Dias","name":"Augusto Dias","firstName":"Augusto","lastName":"Dias","company":"AWS"},{"id":"1736475562193001lIBz_17746331reinvent2026","displayName":"Stan Fan","name":"Stan Fan","firstName":"Stan","lastName":"Fan","company":"AWS"},{"id":"1772070436837001Fl4c_17746331reinvent2026","displayName":"Joe Guo","name":"Joe Guo","firstName":"Joe","lastName":"Guo","company":"Amazon"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Builders' Session 2","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"Tech Explorer"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1790358230415001ifWB","shortId":"OPN310-R1","startDateTime":"2026-12-02T19:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","startTime":"11:30","endTime":"12:30","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1790358230415001ifWB","hash":"fae6deb2ccb2000dd72cc11e2d1d433e","shortId":"OPN310-R1","title":"CLI Agent Orchestrator: Open source multi-agent AI for developer CLIs","abstract":"Complex projects outgrow a single AI agent's context and capability. 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This chalk talk covers the newest AWS detection and response capabilities, including enhanced threat detection, automated vulnerability management, and AI-assisted security operations, and how they shorten the time between finding a risk and resolving it. We work through how to connect AWS security services across AWS and your other clouds so the team you already have can resolve findings faster.","startDateTime":"2026-12-02T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-02T19:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790875594219001X453","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408482194001urDV_17746331reinvent2026","displayName":"Himanshu Verma","name":"Himanshu Verma","firstName":"Himanshu","lastName":"Verma","company":"AWS"},{"id":"1725408482353001ukSn_17746331reinvent2026","displayName":"Ryan Holland","name":"Ryan Holland","firstName":"Ryan","lastName":"Holland","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon GuardDuty"},{"id":"Services","displayName":"Amazon Inspector"},{"id":"Services","displayName":"AWS Security Hub"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Automation"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780441502105001GNF9","shortId":"SEC301-R","startDateTime":"2026-12-01T21:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","startTime":"13:00","endTime":"14:00","day":"Tuesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780441502105001GNF9","hash":"1f1fece51586da1f18c15f0fe2ece0d6","shortId":"SEC301-R","title":"Close the gap between alert and resolution without growing your security team","abstract":"For most security teams, the delay sits in manual triage and tool switching after an alert. 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We work through how to connect AWS security services across AWS and your other clouds so the team you already have can resolve findings faster.","startDateTime":"2026-12-01T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-01T21:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025503987001COsI","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408482194001urDV_17746331reinvent2026","displayName":"Himanshu Verma","name":"Himanshu Verma","firstName":"Himanshu","lastName":"Verma","company":"AWS"},{"id":"1725408482353001ukSn_17746331reinvent2026","displayName":"Ryan Holland","name":"Ryan Holland","firstName":"Ryan","lastName":"Holland","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon GuardDuty"},{"id":"Services","displayName":"Amazon Inspector"},{"id":"Services","displayName":"AWS Security Hub"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Automation"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1790875374536001azPY","shortId":"SEC301-R1","startDateTime":"2026-12-02T19:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","startTime":"11:30","endTime":"12:30","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442255962001cInh","hash":"d10eaefabcc0d50ee184bb8e28ba39d6","shortId":"COP411","title":"Close the gap between code and production","abstract":"Why is it so hard to connect a production alert to the code change that caused it? Metrics and traces reveal something is wrong but stop short of the function responsible. Developers guess which deployment introduced the regression, manually correlating dashboards with recent commits. Meanwhile, AI coding agents that could help write fixes are blind to runtime behavior. In this code talk, we'll explore how to close the gap between observability signals and the code your team owns, what new signals make that connection possible, how developers and AI agents can consume them, and what changes when observability reaches the code level. ","startDateTime":"2026-12-02T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-02T20:00:00.000Z","endDateTime":"2026-12-02T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1791575951080001tblo","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":120},{"id":"1780442223639001cP8a","hash":"9f2d264299b9386cffef76284110a4e5","shortId":"ARC402","title":"Close the loop: From guardrail blocks into layered defense","abstract":"Guardrails block malicious prompts. Every blocked attempt is a signal: proof of what your defenses caught and a clue toward what will be attempted next. Capture that signal instead of discarding it. In this session, you design and deploy a layered enforcement architecture that closes the loop. A stateful detection tier identifies repeated probing across sessions and propagates block decisions to the network edge. You evaluate signals from guardrail violations and apply policies to classify and block the threat. You leave with a deployed pattern applicable to any AI agent workload.\n\nBring your laptop to participate.","startDateTime":"2026-12-01T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025496018001Cmhm","lastModified":"2026-11-03T20:54:44Z","speakers":[{"id":"1738110235268001iD9r_17746331reinvent2026","displayName":"Sanghwa Na","name":"Sanghwa Na","firstName":"Sanghwa","lastName":"Na","company":"AWS"},{"id":"1725999926363001d4Fm_17746331reinvent2026","displayName":"Wei Chen","name":"Wei Chen","firstName":"Wei","lastName":"Chen","company":"AWS"},{"id":"1738025136068001kgDu_17746331reinvent2026","displayName":"Jason Schamp","name":"Jason Schamp","firstName":"Jason","lastName":"Schamp","company":"Amazon Web Services"},{"id":"1724949732100001Kfk6_17746331reinvent2026","displayName":"Jonathan Woods","name":"Jonathan Woods","firstName":"Jonathan","lastName":"Woods","company":"Amazon Web Services (AWS)"},{"id":"1725408451487001uPIQ_17746331reinvent2026","displayName":"Patrick Duffy","name":"Patrick Duffy","firstName":"Patrick","lastName":"Duffy","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS WAF"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780442245233001cJ4E","hash":"b990fe7c23b11ef38266501e930f3cbe","shortId":"IND3322","title":"Closing the academic advising gap with AI agents ","abstract":"Universities lose students to inadequate academic advising: advisors are overwhelmed, and students wait days for answers. In this chalk talk, we explore the end-to-end architecture of an AI student advising agent: specifying and building the agents with Kiro on Amazon Bedrock AgentCore, connecting it to student record systems via MCP, adding guardrails for sensitive student welfare queries, and surfacing the agents to students through AWS Quick embedded in their existing LMS. We'll whiteboard real-world advising scenarios, turn them into agents you can evaluate, and discuss the trade-offs between automation and human escalation.","startDateTime":"2026-11-30T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-11-30T20:00:00.000Z","endDateTime":"2026-11-30T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025483409001CE5Z","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1736778533768001nrFE_17746331reinvent2026","displayName":"Maria John","name":"Maria John","firstName":"Maria","lastName":"John","company":"Amazon Web Services"},{"id":"1756396926313001x9s7_17746331reinvent2026","displayName":"Nityanand Singh","name":"Nityanand Singh","firstName":"Nityanand","lastName":"Singh","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Kiro"},{"id":"Services","displayName":"Amazon Quick"},{"id":"Services","displayName":"Amazon Bedrock AgentCore"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[{"id":"Industry","displayName":"Education"}],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1780442284177001cDRt","hash":"5d7d460edd005a5edffb082c185aa73a","shortId":"SEC361","title":"Closing the compliance loop when agents change your infrastructure","abstract":"AI agents and automated pipelines now change your infrastructure faster than any review can keep up, and not every change comes through CloudFormation. In this workshop, you'll close the compliance loop end to end: author a CloudFormation Hook that enforces encryption and tagging before deployment, then extend the same logic into an AWS Config custom rule with CloudFormation Guard so out-of-band changes get caught continuously. You'll build auto-remediation with SSM Automation, package it into a Conformance Pack for org-wide reach, and use Resource Timeline to trace drift. You leave able to keep compliance closed however fast change arrives.","startDateTime":"2026-12-03T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T18:30:00.000Z","endTime":"10:30","sessionTimeId":"1790033113805001qils","lastModified":"2026-11-02T19:35:31Z","speakers":[{"id":"1724324624995001DLBm_17746331reinvent2026","displayName":"David Sokolik","name":"David Sokolik","firstName":"David","lastName":"Sokolik","company":"Amazon Web Services"},{"id":"1737662847669001N1Zm_17746331reinvent2026","displayName":"JaQuan Thompson","name":"JaQuan Thompson","firstName":"JaQuan","lastName":"Thompson","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS CloudFormation"},{"id":"Services","displayName":"AWS Config"},{"id":"Services","displayName":"AWS Systems Manager"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Automation"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140},{"id":"1780441489991001Gi8K","hash":"cc90fe5320627aca6692dfa919871a69","shortId":"AIM238-S","title":"Closing the Loop: How Cognition’s AI Continuously Improves Itself (sponsored by Datadog)","abstract":"As AI accelerates software development, production systems are changing faster than teams can understand manually. Cognition is closing that gap by giving Devin, its software engineering AI agent running on AWS, access to its own production telemetry through Datadog. Devin uses that context to reason about its production behavior and take action when needed. That feedback loop turns production insights into improvements to Devin’s reliability and future task performance. In this session, we’ll show how Devin investigates alerts, correlates metrics and logs, distinguishes real issues from noise, and uses those insights to improve its harness and workflows. This presentation is brought to you by Datadog, an AWS Partner.","startDateTime":"2026-12-02T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-02T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790034531164001psOu","lastModified":"2026-11-06T01:41:08Z","speakers":[{"id":"1791944444432001c6WL_17746331reinvent2026","displayName":"Whitney Lee","name":"Whitney Lee","firstName":"Whitney","lastName":"Lee","company":"Datadog"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Red Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"DevOps"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780442230596001cI43","hash":"85d2a6e0e14a50a38bd7b41e3304285a","shortId":"SEC311","title":"Closing the loop: using frontier agents for continuous governance","abstract":"Wire two AWS frontier agents into an automated find-and-fix security loop aligned to the Well-Architected Framework. AWS Security Agent pen-tests a web application and flags a privilege-escalation vulnerability. You author a DevOps Agent skill that queries findings through AWS Continuum MCP Server on Amazon Bedrock AgentCore, correlating the operational symptom to the vulnerability in your codebase and generating a GitLab merge request, with human approval at every gate. Trigger the exploit, approve the fix, watch AWS Continuum revalidate it closed, and update your pipeline to block similar vulnerabilities before they reach customers. Automated detection, investigation, remediation, verification, and ongoing prevention closes the loop and provides continuous governance.","startDateTime":"2026-12-03T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025544030001CF4H","lastModified":"2026-11-02T19:35:31Z","speakers":[{"id":"1739840716269001MtK5_17746331reinvent2026","displayName":"Ryan Dsouza","name":"Ryan Dsouza","firstName":"Ryan","lastName":"Dsouza","company":"AMAZON"},{"id":"1738752813751001Q8l8_17746331reinvent2026","displayName":"Peter Grainger","name":"Peter Grainger","firstName":"Peter","lastName":"Grainger","company":"AWS"},{"id":"1737471805477001p3kb_17746331reinvent2026","displayName":"Emir Ayar","name":"Emir Ayar","firstName":"Emir","lastName":"Ayar","company":"AWS"},{"id":"1744931059112001CpHm_17746331reinvent2026","displayName":"Charles Roberts","name":"Charles Roberts","firstName":"Charles","lastName":"Roberts","company":"Amazon Web Services"},{"id":"1726243714926001MP6y_17746331reinvent2026","displayName":"Cameron Smith","name":"Cameron Smith","firstName":"Cameron","lastName":"Smith","company":"AWS Forward Deployed Engineering (FDE)"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Security Agent"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780442270348001cfsl","hash":"e5f5ac55535db5ab0c864e874bc2800c","shortId":"API102-S","title":"Cloud agent work needs infrastructure. We built it. (sponsored by Asana)","abstract":"Organizations need an operating layer where humans and agents can run critical workflows together. That’s Asana. As software development shifts toward work performed by agents in the cloud, engineering teams need the same connected approach at enterprise scale. Command brings Asana’s operating layer to engineering, giving developers one surface for project management and coding work—connecting planning, assignment, and execution across the organization. Command works with coding agents teams already use, including Codex, Cursor, and GitHub Copilot. See the challenges Command solves for product and engineering teams and how it works against real engineering workflows. 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Navigate cloud migration, security automation, and operational excellence challenges. Architect secure cloud environments while balancing stakeholder needs and compliance. Compete to optimize speed, security, and innovation amid real-world obstacles. 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Security groups block health checks, cross-VPC traffic needs custom solutions, and encrypting traffic feels like a full-time job. In this builder's session, configure secure service-to-service communication on Amazon ECS using Service Connect for discovery and encryption, VPC Lattice for cross-account connectivity, and load balancer patterns for external traffic. Implement end-to-end TLS, test failover between services, and observe traffic flows in real time. 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Bring your agents, we optimize them live.","startDateTime":"2026-12-02T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-02T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025517780001CYkX","lastModified":"2026-11-03T15:28:29Z","speakers":[{"id":"1756397028387001xmLR_17746331reinvent2026","displayName":"Akarsha Sehwag","name":"Akarsha Sehwag","firstName":"Akarsha","lastName":"Sehwag","company":"Amazon Web Services"},{"id":"1761280810707001EABf_17746331reinvent2026","displayName":"Noor Randhawa","name":"Noor Randhawa","firstName":"Noor","lastName":"Randhawa","company":"Amazon"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780441466962001Gdzl","hash":"db545c9047d08a40786753c3c93a94b0","shortId":"COM301","title":"Context Over Code: Making AI-Native Development Work at Scale","abstract":"AI coding assistants generate code quickly, but that's not the problem most teams need solved. After rolling out an AI coding companion to 150+ engineers, we learned the real unlock was rethinking how we work, not how fast we type. This session covers our path from AI code companion to AI-Driven Development Lifecycle: building a Context Store with Bedrock Knowledge Bases and MCP to surface decades of institutional knowledge, implementing steering and verification patterns, and managing the organizational change that makes AI-native development stick. You'll leave with a framework for scaling AI beyond individual productivity.","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025548858001CIXz","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1781632530966001wA3R_17746331reinvent2026","displayName":"Matt Houghton","name":"Matt Houghton","firstName":"Matt","lastName":"Houghton","company":"CDL"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Blue Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Community-led"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780442390414001Nls2","hash":"47a6465354c46462e6361111d1a75bab","shortId":"SEC224-S","title":"Continuous Attack Chains Across Every Surface (sponsored by Terra)","abstract":"Most security tools score vulnerabilities in isolation, but attackers do not think in isolation. This session shows how Terra continuously chains signals into real attack paths across web applications, APIs, AI systems, and network infrastructure using agentic AI, the same way a human adversary would pivot from one weak point to the next. Every proposed chain is validated by an expert human pentester before it becomes a finding, turning a pile of low severity noise into a small number of confirmed, exploitable risks. Learn how continuous, cross surface attack chaining changes what a security team should actually prioritize first. This presentation is brought to you by Terra, an AWS Partner.","startDateTime":"2026-12-03T22:00:00.000Z","startTime":"14:00","startTimeFormatted":"2026-12-03T22:00:00.000Z","endDateTime":"2026-12-03T22:20:00.000Z","endTime":"14:20","sessionTimeId":"1790033111619001qwHg","lastModified":"2026-11-03T22:08:29Z","speakers":[{"id":"1788910435232001KxJH_17746331reinvent2026","displayName":"Ofek Haviv","name":"Ofek Haviv","firstName":"Ofek","lastName":"Haviv","company":"Terra Security"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1780441469866001Gxey","hash":"eff36604366f2fb4667a8ce6e97938e7","shortId":"DVT345","title":"Continuous integration and continuous delivery (CI/CD) on AWS","abstract":"Whether you're shipping a monolith or hundreds of microservices, every change needs to reach production safely and quickly. 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Agents choose their own models, tools, and steps at run time, so one session can cost far more than another. Long-running agents also carry more context than they need, paying for the same tokens repeatedly. Many teams keep agents in pilot because they cannot see what each user costs or stop a runaway agent before the bill arrives. 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Engineering teams now run agents that write code, review PRs, validate releases, and deploy around the clock. The promise is real, but so is a new problem: how do you stay in control of systems that never stop evolving? Edith Harbaugh, CEO of LaunchDarkly, argues the defining challenge of the AI era isn't generating code, it's controlling autonomous systems in production, where agents drift and the old detect-fix-redeploy playbook breaks down. She'll share what LaunchDarkly learned building its own AI software factory, and how engineers stay in charge. This presentation is brought to you by LaunchDarkly, an AWS Partner.","startDateTime":"2026-12-01T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790034530535001pU6f","lastModified":"2026-11-05T19:12:18Z","speakers":[],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Red Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780442222420001coic","hash":"2610ab019556ffad2b0cb01d506a1364","shortId":"SEC365","title":"Control what goes out: egress security for AI workloads","abstract":"Most AWS workloads send traffic out in two ways, DNS queries and network connections, and attackers can abuse both to exfiltrate data. This session shows how to lock down both paths. We cover DNS Firewall enhancements for the DNS path, Network Firewall improvements for outbound connection control, and how running DNS Firewall and Network Firewall together gives you one view of DNS security. We also cover URL and domain categories, managed threat intelligence, and extending egress protection to containerized and AI workloads.","startDateTime":"2026-12-04T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-04T19:30:00.000Z","endDateTime":"2026-12-04T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025516434001C4yw","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725903751328001XPKR_17746331reinvent2026","displayName":"Sofía Aluma","name":"Sofía Aluma","firstName":"Sofía","lastName":"Aluma","company":"AWS"},{"id":"1727117456689001TNnZ_17746331reinvent2026","displayName":"Bashuman Deb","name":"Bashuman Deb","firstName":"Bashuman","lastName":"Deb","company":"Amazon Web Services"},{"id":"1728431496375001HIdX_17746331reinvent2026","displayName":"Akshay Choudhry","name":"Akshay Choudhry","firstName":"Akshay","lastName":"Choudhry","company":"Amazon"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Friday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Route 53"},{"id":"Services","displayName":"AWS Network Firewall"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Kubernetes"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780441484436001GLfe","hash":"945f1bba60db4fbd8753c55aaa666c9b","shortId":"MAM215-S","title":"Conversational AI at Scale: S&P Global Energy's 30+ Genie Agents ","abstract":"Evaluating complex financial data shouldn't start with schema research and SQL. In this session, Databricks will introduce Genie Agents, which let business and technical users ask questions in plain language and get back trusted answers, tables and visualizations. S&P Global Market Intelligence will then demonstrate how it built Genie into S&P Capital IQ Workbench on Databricks and AWS, and how it is scaling Genie Agents towards coverage of about 90 core datasets. Learn how automated AI bundles (dataset documentation, SQL examples, business definitions, joins and synonyms) and entity resolution keep answers accurate, and how notebooks let technical teams check and extend the results. All governed end to end by Unity Catalog. Hear how this cut data evaluation time and shortened sales cycles. Leave with a blueprint for turning data products into conversational experiences customers trust. ","startDateTime":"2026-12-01T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025507856001CQzz","lastModified":"2026-11-05T23:13:33Z","speakers":[],"venueRoomName":"Level 1 | Forum 120 | Content Hub | White Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon CloudFront"},{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"},{"id":"Services","displayName":"Amazon EC2 - Graviton"}],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Databases"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Open Data"},{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780442274409001cauW","hash":"bda204cc1a396d46e1a35bc58b371dce","shortId":"ANT414","title":"Conversational AI to accelerate Apache Spark operations on Amazon EMR","abstract":"Customers manage dozens of Apache Spark applications on Amazon EMR — and every major upgrade, unexpected failure, or performance regression pulls engineers away into reactive firefighting. 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You'll work hands-on with conversational agents such as the Apache Spark Upgrade Agent and the Apache Spark Troubleshooting Agent across real-world scenarios on EMR Serverless and EMR on EC2 to simplify the operational burden through natural language, automated code transformation, workload analysis and data quality validation.","startDateTime":"2026-12-01T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025506817001CgTU","lastModified":"2026-11-05T01:04:53Z","speakers":[{"id":"1725566545247001Sujq_17746331reinvent2026","displayName":"Melody Yang","name":"Melody Yang","firstName":"Melody","lastName":"Yang","company":"AWS"},{"id":"1725566550098001SCeV_17746331reinvent2026","displayName":"Narendra Gupta","name":"Narendra Gupta","firstName":"Narendra","lastName":"Gupta","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon EMR"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140},{"id":"1786043770282001qstb","hash":"323f1f45a6179aadb396ecc62732d5e5","shortId":"IND3313","title":"Core banking agent-ready: From composable to agentic financial services on AWS","abstract":"The shift from composable to agentic banking is a re-architecture. 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Spoiler Alert: Everyone’s a winner with Datadog!","startDateTime":"2026-12-03T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-04T03:30:00.000Z","endTime":"19:30","sessionTimeId":"1793081919013001IHSu","lastModified":"2026-11-05T17:08:51Z","speakers":[],"venueRoomName":"Level 1 | Casanova Foyer","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Featured experience"},"services":[],"topics":[],"areaOfInterest":[],"industry":[],"role":[],"features":[],"seatCapacity":0,"repeats":[{"id":"1789513463957001LbU2","shortId":"ACT009-R3","startDateTime":"2026-12-02T18:30:00.000Z","endDateTime":"2026-12-03T03:30:00.000Z","startTime":"10:30","endTime":"19:30","day":"Wednesday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 1 | Casanova Foyer"},{"id":"1789513464022001Lurq","shortId":"ACT009-R2","startDateTime":"2026-12-01T18:30:00.000Z","endDateTime":"2026-12-02T03:30:00.000Z","startTime":"10:30","endTime":"19:30","day":"Tuesday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 1 | Casanova Foyer"},{"id":"1789513464093001LD7m","shortId":"ACT009-R1","startDateTime":"2026-11-30T16:00:00.000Z","endDateTime":"2026-12-01T03:30:00.000Z","startTime":"08:00","endTime":"19:30","day":"Monday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 1 | Casanova Foyer"},{"id":"1789513463502001Lv80","shortId":"ACT009-R","startDateTime":"2026-11-29T18:00:00.000Z","endDateTime":"2026-11-30T03:30:00.000Z","startTime":"10:00","endTime":"19:30","day":"Sunday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 1 | Casanova Foyer"},{"id":"1789513463653001Lwms","shortId":"ACT009-R5","startDateTime":"2026-12-04T16:00:00.000Z","endDateTime":"2026-12-04T20:00:00.000Z","startTime":"08:00","endTime":"12:00","day":"Friday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 1 | Casanova Foyer"}]},{"id":"1789513463502001Lv80","hash":"4177220d8e00b9dbf4cece51543e8332","shortId":"ACT009-R","title":"Datadog Observaball ","abstract":"Pull the plunger and try your luck! 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Spoiler Alert: Everyone’s a winner with Datadog!","startDateTime":"2026-11-29T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-11-29T18:00:00.000Z","endDateTime":"2026-11-30T03:30:00.000Z","endTime":"19:30","sessionTimeId":"1793081871825001J2SF","lastModified":"2026-11-05T17:08:38Z","speakers":[],"venueRoomName":"Level 1 | Casanova Foyer","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Sunday","type":{"id":"Type","displayName":"Featured experience"},"services":[],"topics":[],"areaOfInterest":[],"industry":[],"role":[],"features":[],"seatCapacity":0,"repeats":[{"id":"1789513463957001LbU2","shortId":"ACT009-R3","startDateTime":"2026-12-02T18:30:00.000Z","endDateTime":"2026-12-03T03:30:00.000Z","startTime":"10:30","endTime":"19:30","day":"Wednesday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 1 | Casanova Foyer"},{"id":"1789513464022001Lurq","shortId":"ACT009-R2","startDateTime":"2026-12-01T18:30:00.000Z","endDateTime":"2026-12-02T03:30:00.000Z","startTime":"10:30","endTime":"19:30","day":"Tuesday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 1 | Casanova Foyer"},{"id":"1789513464093001LD7m","shortId":"ACT009-R1","startDateTime":"2026-11-30T16:00:00.000Z","endDateTime":"2026-12-01T03:30:00.000Z","startTime":"08:00","endTime":"19:30","day":"Monday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 1 | Casanova Foyer"},{"id":"1789513463804001LeiZ","shortId":"ACT009-R4","startDateTime":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-04T03:30:00.000Z","startTime":"10:30","endTime":"19:30","day":"Thursday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 1 | Casanova Foyer"},{"id":"1789513463653001Lwms","shortId":"ACT009-R5","startDateTime":"2026-12-04T16:00:00.000Z","endDateTime":"2026-12-04T20:00:00.000Z","startTime":"08:00","endTime":"12:00","day":"Friday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 1 | Casanova Foyer"}]},{"id":"1789513463653001Lwms","hash":"8425b1af7489e410250bbecdf851c586","shortId":"ACT009-R5","title":"Datadog Observaball","abstract":"Pull the plunger and try your luck! Your ball navigates Observability, Security & AI obstacles like Malware Mire and Agent Loop Lagoon. Make it through the course and win a prize! Spoiler Alert: Everyone’s a winner with Datadog!","startDateTime":"2026-12-04T16:00:00.000Z","startTime":"08:00","startTimeFormatted":"2026-12-04T16:00:00.000Z","endDateTime":"2026-12-04T20:00:00.000Z","endTime":"12:00","sessionTimeId":"1793081926421001agdT","lastModified":"2026-11-05T17:09:01Z","speakers":[],"venueRoomName":"Level 1 | Casanova Foyer","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Friday","type":{"id":"Type","displayName":"Featured experience"},"services":[],"topics":[],"areaOfInterest":[],"industry":[],"role":[],"features":[],"seatCapacity":0,"repeats":[{"id":"1789513463957001LbU2","shortId":"ACT009-R3","startDateTime":"2026-12-02T18:30:00.000Z","endDateTime":"2026-12-03T03:30:00.000Z","startTime":"10:30","endTime":"19:30","day":"Wednesday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 1 | Casanova Foyer"},{"id":"1789513464022001Lurq","shortId":"ACT009-R2","startDateTime":"2026-12-01T18:30:00.000Z","endDateTime":"2026-12-02T03:30:00.000Z","startTime":"10:30","endTime":"19:30","day":"Tuesday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 1 | Casanova Foyer"},{"id":"1789513464093001LD7m","shortId":"ACT009-R1","startDateTime":"2026-11-30T16:00:00.000Z","endDateTime":"2026-12-01T03:30:00.000Z","startTime":"08:00","endTime":"19:30","day":"Monday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 1 | Casanova Foyer"},{"id":"1789513463804001LeiZ","shortId":"ACT009-R4","startDateTime":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-04T03:30:00.000Z","startTime":"10:30","endTime":"19:30","day":"Thursday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 1 | Casanova Foyer"},{"id":"1789513463502001Lv80","shortId":"ACT009-R","startDateTime":"2026-11-29T18:00:00.000Z","endDateTime":"2026-11-30T03:30:00.000Z","startTime":"10:00","endTime":"19:30","day":"Sunday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 1 | Casanova Foyer"}]},{"id":"1780441495346001GjR2","hash":"126ab8e8ddf11ec468dddbcf2a2f9884","shortId":"INV535","title":"Data Environments for Agents","abstract":"AI agents increasingly query databases, modify files, and operate applications. Their effectiveness depends on the environments in which they act: what information they can discover, which alternatives they can explore, and what happens when they make mistakes. This session examines how data environments can help agents accomplish more while bounding the consequences of failure. Drawing on research from Columbia’s Data, Agents, and Processes Lab, we explore branching and recovery across databases and live execution state, data flow controls that enforce policies and guide agent behavior, and evaluations that reveal bottlenecks in finding and using information. 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Learn to build a business glossary and metadata forms, create an analysis-ready dataset with an ETL job, and trace end-to-end data lineage. Gain hands-on experience enforcing data quality rules, enriching and publishing a governed data product, and sharing it through a publish-and-subscribe model with approval workflows and least-privilege access. Discover how to deliver trustworthy, explainable answers with the Gen-AI data agent. Leave equipped to build the governance and metadata foundation that makes data — and the AI that runs on it — trustworthy across your organization. You must bring your laptop to participate.","startDateTime":"2026-12-02T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-02T20:00:00.000Z","endDateTime":"2026-12-02T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025519392001CEU9","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1729032688515001JS46_17746331reinvent2026","displayName":"Jose Romero","name":"Jose Romero","firstName":"Jose","lastName":"Romero","company":"AWS"},{"id":"1727477872369001YasL_17746331reinvent2026","displayName":"Kalyan Kumar Neelampudi","name":"Kalyan Kumar Neelampudi","firstName":"Kalyan Kumar","lastName":"Neelampudi","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon SageMaker"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":112},{"id":"1780441463094001GgY3","hash":"5491b4cef2c790a978c6136baeea410b","shortId":"ARC407","title":"Data mesh at scale: The automation layer, proven at Experian","abstract":"Federated data ownership is easy to draw and hard to enforce. Is governance enforced in process, or in the platform? Enforce it in the platform, and the hard part becomes the seam between central policy and self-serve provisioning most teams never build. On Amazon SageMaker Unified Studio we architect that seam: one project per data-domain for blast-radius isolation, contracts that block non-compliant publication, policy that cascades but only tightens, and a reconciler turning Git-committed JSON into infrastructure. Experian runs it across dozens of data domains in regulated financial services, cutting domain onboarding from months to self-serve.","startDateTime":"2026-12-03T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-03T22:30:00.000Z","endDateTime":"2026-12-03T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025546468001CANS","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1758905072730001JjTR_17746331reinvent2026","displayName":"Romi Patel","name":"Romi Patel","firstName":"Romi","lastName":"Patel","company":"AWS"},{"id":"1758295954286001kKVl_17746331reinvent2026","displayName":"Mohammed Ali Syed","name":"Mohammed Ali Syed","firstName":"Mohammed Ali","lastName":"Syed","company":"Experian"},{"id":"1764078304930001CTGx_17746331reinvent2026","displayName":"Rohit Kumar Singh","name":"Rohit Kumar Singh","firstName":"Rohit Kumar","lastName":"Singh","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon SageMaker"},{"id":"Services","displayName":"AWS Lake Formation"},{"id":"Services","displayName":"AWS Step Functions"}],"topics":[{"id":"Topic","displayName":"Architecture"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[],"role":[{"id":"Role","displayName":"Advisor / Consultant"},{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780442232284001c7A8","hash":"484cb8feeafa97d4adc87a894287a8e5","shortId":"ANT320-R","title":"Data mesh on AWS: governance, identity, and end‑user attribution","abstract":"Data mesh promises domain‑owned data as a product — but the hard part is governance: who can access what, and how you prove it after the fact. In this interactive chalk talk, we whiteboard two patterns for building a data mesh on AWS and debate when each one fits. The first is a centrally governed mesh using attribute‑based, fine‑grained access controls across separate producer, consumer, and governance accounts. The second is a peer‑to‑peer mesh where the producer directly approves each consumer's subscription. We'll follow a single data product through the AWS Glue Data Catalog from publication to subscription, wire enterprise identity (federated from your existing identity provider, such as Okta or Entra) all the way through to the query, and show how trusted identity propagation and end‑user attribution give you per‑user accountability you can audit end to end. ","startDateTime":"2026-12-03T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025538108001CKGu","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1739807052706001SM5U_17746331reinvent2026","displayName":"Mert Hocanin","name":"Mert Hocanin","firstName":"Mert","lastName":"Hocanin","company":"Amazon Web Services"},{"id":"1725566544543001SI5D_17746331reinvent2026","displayName":"Zach Mitchell","name":"Zach Mitchell","firstName":"Zach","lastName":"Mitchell","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon EMR"},{"id":"Services","displayName":"Amazon Redshift"},{"id":"Services","displayName":"AWS Glue"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82,"repeats":[{"id":"1790358245821001iv42","shortId":"ANT320-R1","startDateTime":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-02T23:30:00.000Z","startTime":"14:30","endTime":"15:30","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358245821001iv42","hash":"17fa6ef99a240a14a33e1b42773ed9a9","shortId":"ANT320-R1","title":"Data mesh on AWS: governance, identity, and end‑user attribution","abstract":"Data mesh promises domain‑owned data as a product — but the hard part is governance: who can access what, and how you prove it after the fact. 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","startDateTime":"2026-12-02T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-02T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790360389760001Ani7","lastModified":"2026-11-04T22:12:19Z","speakers":[{"id":"1739807052706001SM5U_17746331reinvent2026","displayName":"Mert Hocanin","name":"Mert Hocanin","firstName":"Mert","lastName":"Hocanin","company":"Amazon Web Services"},{"id":"1725566544543001SI5D_17746331reinvent2026","displayName":"Zach Mitchell","name":"Zach Mitchell","firstName":"Zach","lastName":"Mitchell","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon EMR"},{"id":"Services","displayName":"Amazon Redshift"},{"id":"Services","displayName":"AWS Glue"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":75,"repeats":[{"id":"1780442232284001c7A8","shortId":"ANT320-R","startDateTime":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","startTime":"11:30","endTime":"12:30","day":"Thursday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780441473816001GBHJ","hash":"c465e5044ccfc7de94645fa227759f3e","shortId":"IND3346","title":"Data mesh to agentic AI: Building an AI-ready enterprise on AWS","abstract":"How do you build an AI-ready data foundation in a global investment organization without compromising trust, governance, or speed? CPP Investments—manager of one of the world’s largest pension funds—is evolving from fragmented data toward a governed enterprise data platform on AWS, using data mesh principles, federated ownership, and platform engineering to scale with guardrails. Join their CTO for a look inside the architecture, operating model, and critical trade-offs shaping this evolution, and how it brings trusted data closer to investment decisions while laying the foundation for conversational data experiences and agentic AI.","startDateTime":"2026-12-01T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-01T21:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025474625001CbJ6","lastModified":"2026-11-05T23:16:39Z","speakers":[{"id":"1755620297248001jokS_17746331reinvent2026","displayName":"Prasanna Ramaswamy","name":"Prasanna Ramaswamy","firstName":"Prasanna","lastName":"Ramaswamy","company":"CA - GC - Canada Pension Plan Investment Board"},{"id":"1758910479272001LRbi_17746331reinvent2026","displayName":"Rishi Gera","name":"Rishi Gera","firstName":"Rishi","lastName":"Gera","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon QuickSight"},{"id":"Services","displayName":"Amazon SageMaker"}],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Government"}],"role":[{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780441464093001GrWo","hash":"dd8a879d9ea82355b0405e1ca579be5a","shortId":"AIM343","title":"Data Prep to Deployment: How Tencent Games Scaled to 1,000 GPUs on SageMaker HyperPod","abstract":"Join us to see how Amazon SageMaker HyperPod lets teams build complete training pipelines, from data prep and transformations through distributed training to seamless model deployment, all on one resilient, self-healing platform with no re-platforming required. Then, hear how Tencent Games, a game AI team (not an infra team), went from first cluster to thousand-GPU training in weeks for their VISVISE engine powering 90+ titles including PUBG Mobile. 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With S3 Files, connect thousands of compute resources to your data in S3 through a high-performance file interface that scales to multiple terabytes per second. Stop duplicating data between object and file storage. Stop building staging workflows just to read a file. 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As AI-generated voice, video, and imagery become easier to create, attackers use synthetic media to make deception feel familiar, urgent, and credible. In this session, KnowBe4 shows how deepfakes fit into broader social engineering campaigns built around narrative, timing, and cross-channel reinforcement. The fake clip is rarely the whole attack; it is one piece of a larger story designed to short-circuit judgment when it matters most. Attendees will learn what separates an interesting tech demo from a nation-state-level attack. They will see how these attacks work and why convincing stories and cognitive biases override technical skepticism even in well-trained people. 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Brute-force AI classification catches evasion but is cost-prohibitive at scale. In this workshop, build a tiered moderation pipeline on Amazon Bedrock that routes 80–90% of traffic through deterministic normalization and pre-filters before invoking a model. Ambiguous content gets classified by Amazon Nova at sub-500ms latency. Only the hardest cases escalate to multi-agent analysis on Amazon Bedrock AgentCore for context-dependent decisions. Configure per-category thresholds, instrument cost-per-decision tracking, and stress-test against real gaming evasion patterns. Walk away with a deployable, cost-optimized pipeline. 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In this code-first session we start there, then trace how EKS security grew layer by layer as the threat model matured. We rebuild an over-privileged workload live, adding one control at a time: scoped pod identity, admin and DNS network policies, and private certificate trust with zero-downtime CA rotation. We finish by running a lateral-movement attempt against the hardened workload and watching it fail at multiple layers — the whole point of defense-in-depth.","startDateTime":"2026-12-01T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-01T19:30:00.000Z","endDateTime":"2026-12-01T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790963622094001QjCF","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Security & Identity"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Administrator"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":66},{"id":"1780442230035001cGQw","hash":"66c2dd7ad4069de5dcfc293ad9178068","shortId":"OPN309","title":"Defense in depth for Strands AI agents with Cedar, AgentCore, and Rex","abstract":"AI agents that generate and execute code on remote systems need more than a single permission check - they need policy enforcement at every trust boundary. 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Tireless agents make that trade worse. One curious human's prompt fans out into dozens of novel queries at machine speed, and caching, sampling and precomputation stop working. Edelbyte's founders spent more than a decade at Microsoft building and operating Azure Data Explorer, also known as Kusto. In our first session since leaving stealth, we show what they built next: an agent answering natural-language questions live on data attached straight from Amazon S3. We reveal the results of an independent benchmark. We close with how our business model works and what drives ingestion and query cost. Performance. Scale. Cost. Functionality. 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The architecture that followed, such as multipath packet spraying, out-of-order delivery, and encryption of every byte in transit, has scaled from HPC workloads to the backbone of today's largest AI training clusters. Now it's evolving again to support disaggregated inference and expert parallelism. OpenAI joins to share how they adapted their production inference stack to EFA on EC2 UltraServers, covering Reliable Datagram semantics for GPU-to-GPU collectives, NCCL tuning, and topology-aware communication patterns that unlock new performance.","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1791226983492001t8sN","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1759339303285001epxM_17746331reinvent2026","displayName":"Brian Barrett","name":"Brian Barrett","firstName":"Brian","lastName":"Barrett","company":"Amazon Web Services"},{"id":"1790811195913001fXpL_17746331reinvent2026","displayName":"Sujith Katakam","name":"Sujith Katakam","firstName":"Sujith","lastName":"Katakam","company":"OpenAI"},{"id":"1725408403742001uUyE_17746331reinvent2026","displayName":"John Pangle","name":"John Pangle","firstName":"John","lastName":"Pangle","company":"Amazon"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Virtual Private Cloud (Amazon VPC)"},{"id":"Services","displayName":"AWS Trainium"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Networking & Content Delivery"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":212},{"id":"1780442247952001cBC1","hash":"2220dad53468abc19ccbcd1d95ad2c14","shortId":"NET328","title":"Elastic Fabric Adapter powering the largest AI workloads on AWS","abstract":"AWS built Elastic Fabric Adapter (EFA) to bring high-performance networking to the cloud - powered by the Scalable Reliable Datagram (SRD) protocol designed for elastic, reliable, cloud-scale performance. 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We dive into recent innovations including library integrations, protocol optimizations, and performance gains.","startDateTime":"2026-12-03T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-03T00:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025527272001CX1x","lastModified":"2026-11-06T15:17:52Z","speakers":[{"id":"1725408403742001uUyE_17746331reinvent2026","displayName":"John Pangle","name":"John Pangle","firstName":"John","lastName":"Pangle","company":"Amazon"},{"id":"1724785941708001xogf_17746331reinvent2026","displayName":"Erez Zarum","name":"Erez Zarum","firstName":"Erez","lastName":"Zarum","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Networking & Content Delivery"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Machine Learning"},{"id":"AreaofInterest","displayName":"Customer Enablement"}],"industry":[],"role":[{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780441487864001GgSt","hash":"0c522a829b0983d8c0148a9a90ca3bb4","shortId":"AIM282-S","title":"Elasticsearch - the Search database for Context Engineering and AI (sponsored by Elastic)","abstract":"Your agentic applications have an accuracy and cost problem, and it's not your model choice. Sound familiar? If you're a developer trying to get LLMs to work effectively with your business context, this session is for you. Come learn how we rearchitected Elasticsearch as the database of choice for the different data types your enterprise knowledge is buried in — docs, logs, metrics, tickets, sales call transcripts, and more. From foundational innovations like Columnar and VectorDB mode with no ETL, to best-in-class retrieval that combines vector search, Jina embedding models, and native inference, Elastic is the context database for your production needs. Join this session to learn the best practices, from optimizing data preparation to retrieval patterns, to make your agents a production reality. 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When you standardize on OpenTelemetry with AWS, you get rich, unified telemetry from metrics, logs, and traces across your containers, Kubernetes clusters, AI workloads, and everything in between. Collect deep telemetry using OTLP ingestion, PromQL querying, and automatic enrichment with Amazon CloudWatch's native OpenTelemetry. No fragmented data. No vendor lock-in. Just one telemetry foundation that gives you the context you need to understand what's happening across your entire environment. 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Using AWS CDK, configure Amazon Cognito OAuth 2.0 authentication, Lambda, API Gateway, CloudFront, and WAF to create a secure embedding architecture. Implement the Quick Embedding SDK, configure domain security and token validation, and deploy a working chat agent accessible from any enterprise application — turning Quick into the conversational AI layer that meets users where they already work.","startDateTime":"2026-12-03T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025534806001CXxu","lastModified":"2026-11-05T16:18:55Z","speakers":[{"id":"1770349452812001EPNU_17746331reinvent2026","displayName":"Stephen Elsaker","name":"Stephen Elsaker","firstName":"Stephen","lastName":"Elsaker","company":"Amazon"},{"id":"1726617187763001i8HK_17746331reinvent2026","displayName":"Arun Santhosh","name":"Arun Santhosh","firstName":"Arun","lastName":"Santhosh","company":"AWS"},{"id":"1761338514743001mIvi_17746331reinvent2026","displayName":"Sujit Singh","name":"Sujit Singh","firstName":"Sujit","lastName":"Singh","company":"Amazon"},{"id":"1759334189874001hfJW_17746331reinvent2026","displayName":"Manasi Karale","name":"Manasi Karale","firstName":"Manasi","lastName":"Karale","company":"AWS"},{"id":"1725566536082001SfjY_17746331reinvent2026","displayName":"Ashok Dasineni","name":"Ashok Dasineni","firstName":"Ashok","lastName":"Dasineni","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1790358226000001inwo","hash":"6e39ae0834cf0c1810484133b9dd2e65","shortId":"COP312-R1","title":"Embed FinOps into your CI/CD pipelines","abstract":"Cost overruns from infrastructure changes often go undetected until after deployment, making shift-left cost governance a critical capability for platform and DevOps engineers. This builders' session guides attendees through constructing a working cost estimation gate integrated directly into a CI/CD pipeline. Using AWS CodePipeline, the AWS Pricing Calculator, and CloudFormation change sets, attendees build a pipeline stage that evaluates infrastructure cost impact at pull request time and enforces configurable spend thresholds before deployment proceeds. Bring a laptop to complete hands-on exercises with expert guidance in a small-group setting.","startDateTime":"2026-12-03T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790360386382001AfGC","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1736355774434001eaVy_17746331reinvent2026","displayName":"Travis James","name":"Travis James","firstName":"Travis","lastName":"James","company":"AWS"},{"id":"1725408449220001uFpe_17746331reinvent2026","displayName":"Fredrik Tunvall","name":"Fredrik Tunvall","firstName":"Fredrik","lastName":"Tunvall","company":"AWS"},{"id":"1740427059028001a6pj_17746331reinvent2026","displayName":"Jenny Shen","name":"Jenny Shen","firstName":"Jenny","lastName":"Shen","company":"AWS"},{"id":"1771498656482001gsB7_17746331reinvent2026","displayName":"Hicham Lahlali","name":"Hicham Lahlali","firstName":"Hicham","lastName":"Lahlali","company":"AWS"},{"id":"1739791171258001GTxm_17746331reinvent2026","displayName":"Shubho Laga","name":"Shubho Laga","firstName":"Shubho","lastName":"Laga","company":"Amazon Web Services EMEA SARL"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Builders' Session 1","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Billing and Cost Management"},{"id":"Services","displayName":"AWS CloudFormation"},{"id":"Services","displayName":"AWS CodePipeline"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1780442225110001cEQv","shortId":"COP312-R","startDateTime":"2026-11-30T21:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Monday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Forum 120 | Content Hub | Builders' Session 1"}]},{"id":"1780442225110001cEQv","hash":"7a71a949cdd6c37a37a2b33548876110","shortId":"COP312-R","title":"Embed FinOps into your CI/CD pipelines","abstract":"Cost overruns from infrastructure changes often go undetected until after deployment, making shift-left cost governance a critical capability for platform and DevOps engineers. 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Bring a laptop to complete hands-on exercises with expert guidance in a small-group setting.","startDateTime":"2026-11-30T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-11-30T21:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025487988001Cl7I","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1736355774434001eaVy_17746331reinvent2026","displayName":"Travis James","name":"Travis James","firstName":"Travis","lastName":"James","company":"AWS"},{"id":"1725408449220001uFpe_17746331reinvent2026","displayName":"Fredrik Tunvall","name":"Fredrik Tunvall","firstName":"Fredrik","lastName":"Tunvall","company":"AWS"},{"id":"1740427059028001a6pj_17746331reinvent2026","displayName":"Jenny Shen","name":"Jenny Shen","firstName":"Jenny","lastName":"Shen","company":"AWS"},{"id":"1771498656482001gsB7_17746331reinvent2026","displayName":"Hicham Lahlali","name":"Hicham Lahlali","firstName":"Hicham","lastName":"Lahlali","company":"AWS"},{"id":"1739791171258001GTxm_17746331reinvent2026","displayName":"Shubho Laga","name":"Shubho Laga","firstName":"Shubho","lastName":"Laga","company":"Amazon Web Services EMEA SARL"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Builders' Session 1","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Billing and Cost Management"},{"id":"Services","displayName":"AWS CloudFormation"},{"id":"Services","displayName":"AWS CodePipeline"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1790358226000001inwo","shortId":"COP312-R1","startDateTime":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T19:30:00.000Z","startTime":"10:30","endTime":"11:30","day":"Thursday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Forum 120 | Content Hub | Builders' Session 1"}]},{"id":"1780442246312001cocH","hash":"a6966c12ff685332b6126975ef5ee05a","shortId":"IND375","title":"Emerging multi-agent patterns for complex financial workflows","abstract":"Multi-agent systems are rapidly evolving beyond static orchestration patterns. In this chalk talk, we explore the newest collaboration paradigms gaining momentum, including ephemeral agent patterns and self-improving agents, alongside established approaches like hierarchical, sequential, and peer-to-peer coordination. Walk through how to apply these patterns to claims adjudication, underwriting, and financial portfolio advisory using Strands Agents and Amazon Bedrock AgentCore harness engineering best practices. We'll discuss when to select each pattern, how to combine them for complex workflows, and how AgentCore harness capabilities enable scalable, governed multi-agent architectures. Gain practical guidance for designing the next generation of agentic applications.","startDateTime":"2026-12-03T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025539139001CY37","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408433819001ubTW_17746331reinvent2026","displayName":"Evandro Franco","name":"Evandro Franco","firstName":"Evandro","lastName":"Franco","company":"AWS"},{"id":"1725408314854001uO1y_17746331reinvent2026","displayName":"Alfredo Castillo","name":"Alfredo Castillo","firstName":"Alfredo","lastName":"Castillo","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":75},{"id":"1780441466315001GqmS","hash":"9e31aa3f66138e1031b026b001af592e","shortId":"BIZ214","title":"Empowering 155,000 people without compromising trust: Amazon Quick","abstract":"Allianz needed to empower 155,000 employees with AI without sacrificing trust. With operations across dozens of regulated markets, the security, privacy, and works council requirements were non-negotiable. Every stakeholder asked the same question: how do you move fast and still earn the trust of those guarding your company's security? Hear how Allianz partnered with AWS to deploy the capabilities that make Amazon Quick enterprise-ready: protection of confidential information, structured approval workflows for agentic actions, custom branding per business unit, and multi-language support. Learn how Allianz navigated the full approval process and moved from \"not yet\" to \"go\" in six weeks.","startDateTime":"2026-12-02T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-02T00:30:00.000Z","endDateTime":"2026-12-02T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025510722001CBx6","lastModified":"2026-11-05T17:01:22Z","speakers":[{"id":"1726617187380001ib4Q_17746331reinvent2026","displayName":"Raji Sivasubramaniam","name":"Raji Sivasubramaniam","firstName":"Raji","lastName":"Sivasubramaniam","company":"AWS"},{"id":"1736364595931001fRXg_17746331reinvent2026","displayName":"Ben Haller","name":"Ben Haller","firstName":"Ben","lastName":"Haller","company":"AWS"},{"id":"1718742632793001oLc4_17746331reinvent2026","displayName":"Dr. Axel Schell","name":"Dr. Axel Schell","firstName":"Dr.","lastName":"Axel Schell","company":"Allianz Technology SE"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780442272839001cuKP","hash":"a4290b72fab0a116823865a8a3bdb3eb","shortId":"AIM273-S","title":"Enabling agentic development loops with a local cloud validation layer (sponsored by LocalStack)","abstract":"Agentic coding loops let AI develop, test, and iterate on code autonomously. But agents often lack the permissions required to validate how code behaves in the cloud, stalling the cycle and holding back velocity. This session will show how simulating your AWS application environments locally can enable AI agents to identify and fix bugs faster, more securely, and more effectively than human engineers can when building in live cloud development environments. This presentation is brought to you by LocalStack, an AWS Partner.","startDateTime":"2026-12-03T20:30:00.000Z","startTime":"12:30","startTimeFormatted":"2026-12-03T20:30:00.000Z","endDateTime":"2026-12-03T20:50:00.000Z","endTime":"12:50","sessionTimeId":"1790033123076001q7gY","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venueRoomName":"Level 2 | Hall B | Expo | Industry Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Application Integration"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Tech Explorer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780441493696001GIAp","hash":"fcdba4a2c7f2b82af8d71496b68faba8","shortId":"INV507","title":"Encoding Authorization in Logic from Puzzles to Production","abstract":"Automated theorem provers can reason symbolically about a system's behavior and prove properties like \"no user can ever escalate their own privileges\" across all possible inputs. Of course, this requires modeling your problem in first-order logic, which demands careful thinking to precisely capture all behaviors of your system. In this session, learn how to encode your problem in first-order logic: starting with a logic puzzle to build intuition, then a toy authorization language, and finally what it takes for a full production system like Cedar, a fine-grained authorization language built with high assurance. We discuss challenges including ensuring correctness and completeness of the encoding.","startDateTime":"2026-12-02T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-02T21:00:00.000Z","endDateTime":"2026-12-02T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025520933001CrKf","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1758823301412001KaIR_17746331reinvent2026","displayName":"Liana Hadarean","name":"Liana Hadarean","firstName":"Liana","lastName":"Hadarean","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[{"id":"Services","displayName":"Amazon Verified Permissions"},{"id":"Services","displayName":"AWS IAM Access Analyzer"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780441478309001GiQZ","hash":"da9f3101ffda1e04d345791a6a2c0411","shortId":"MAM206","title":"End-to-end agentic modernization with United Airlines & Bank Hapoalim","abstract":"Legacy applications across mainframe, midrange, and distributed platforms have long resisted modernization efforts. A new approach that combines deterministic methods with agentic AI is changing that by delivering speed and accuracy. Learn how United Airlines modernized crew operations while maintaining FAR compliance, and how Bank Hapoalim analyzed a 3.2-million-line mortgage application and delivered an insurance module to production under a board-mandated deadline while reducing operational risk. Follow the end-to-end journey, from automated discovery and business rule extraction with AWS Transform through microservices engineering with Kiro to production deployment. Leave with a playbook for modernizing the applications everyone said were untouchable.","startDateTime":"2026-12-01T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-01T00:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025498657001CY6k","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1787937207681001GhUc_17746331reinvent2026","displayName":"Lior Kenzin","name":"Lior Kenzin","firstName":"Lior","lastName":"Kenzin","company":"BANK HAPOALIM LTD."},{"id":"1726617178764001iw31_17746331reinvent2026","displayName":"Boris Alexandrov","name":"Boris Alexandrov","firstName":"Boris","lastName":"Alexandrov","company":"Amazon"},{"id":"1727886773035001l4hK_17746331reinvent2026","displayName":"Margarita Rubio","name":"Margarita Rubio","firstName":"Margarita","lastName":"Rubio","company":"United Airlines"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"AWS Mainframe Modernization"},{"id":"Services","displayName":"AWS Transform"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780442275683001cqBd","hash":"d31f9e790fc38317963e78c161d93bf0","shortId":"AIM406","title":"End-to-end foundation model pipelines on SageMaker HyperPod with EKS","abstract":"Train, deploy, and serve a foundation model end-to-end on Amazon SageMaker HyperPod with on Kubernetes. In this hands-on workshop, prepare training data at scale leveraging high speed storage, launch distributed fine-tuning across multi-node GPU clusters with auto-healing and checkpointless recovery that maximizes goodput, and transition seamlessly to production inference on the same cluster— eliminating re-platforming. Throughout, monitor cluster health and inference latency. Leave with working notebooks and production-ready patterns you can deploy immediately.","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T18:30:00.000Z","endTime":"10:30","sessionTimeId":"1790025471851001CNeY","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1739462446753001zMsU_17746331reinvent2026","displayName":"Harsh Asnani","name":"Harsh Asnani","firstName":"Harsh","lastName":"Asnani","company":"Amazon Web Services, Inc."},{"id":"1738749171516001WV8H_17746331reinvent2026","displayName":"Mayank Gupta","name":"Mayank Gupta","firstName":"Mayank","lastName":"Gupta","company":"AWS"},{"id":"1789685849427001L3gW_17746331reinvent2026","displayName":"Farrukh Sohail","name":"Farrukh Sohail","firstName":"Farrukh","lastName":"Sohail","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":84},{"id":"1780442275797001cJXe","hash":"b3cfc11a35294ae32f3616b4c148abd3","shortId":"AIM408-R","title":"End-to-End ModelOps on SageMaker AI: Experiment to Production","abstract":"Hands-on workshop where practitioners experiment with SageMaker AI end-to-end ModelOps capabilities: onboard, build, govern, deploy, monitor. Attendees track experiments with managed MLflow, orchestrate repeatable training workflows with SageMaker Pipelines and built-in lineage tracking, register and version models in Model Registry with model cards and approval gates, deploy through CI/CD promotion pipelines, and monitor for drift and quality with Model Monitor. Governance such as access control, validation, approvals, and Responsible AI guardrails is embedded into every step. Attendees leave with a repeatable, governed path from experiment to production they can stand up within a week","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T18:30:00.000Z","endTime":"10:30","sessionTimeId":"1790025471918001CWyQ","lastModified":"2026-11-04T17:53:47Z","speakers":[{"id":"1725408321976001umin_17746331reinvent2026","displayName":"Nisha Gambhir","name":"Nisha Gambhir","firstName":"Nisha","lastName":"Gambhir","company":"AWS Proserve"},{"id":"1740409239038001sINE_17746331reinvent2026","displayName":"Paolo Di Francesco","name":"Paolo Di Francesco","firstName":"Paolo","lastName":"Di Francesco","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":84,"repeats":[{"id":"1790358216001001i9W2","shortId":"AIM408-R1","startDateTime":"2026-12-02T23:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","startTime":"15:30","endTime":"17:30","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358216001001i9W2","hash":"8f7049b33beef5f0e64b3359774a3d74","shortId":"AIM408-R1","title":"End-to-End ModelOps on SageMaker AI: Experiment to Production","abstract":"Hands-on workshop where practitioners experiment with SageMaker AI end-to-end ModelOps capabilities: onboard, build, govern, deploy, monitor. 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In this session, Deepgram builds one live on AWS: the Deepgram Voice Agent API streams speech in and out within minutes, with Amazon Bedrock as the reasoning layer. You'll see natural, expressive voices, sub-second responses, and barge-in handling that actually works. Compliance requirements? The same models deploy via Amazon SageMaker inside your own VPC, so audio never leaves your AWS perimeter. Leave with running code and an architecture your security team can approve. 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Could be repeated during the week.","startDateTime":"2026-12-01T19:00:00.000Z","startTime":"11:00","startTimeFormatted":"2026-12-01T19:00:00.000Z","endDateTime":"2026-12-01T20:00:00.000Z","endTime":"12:00","sessionTimeId":"1793395036282001BrKK","lastModified":"2026-11-02T22:41:14Z","speakers":[],"venueRoomName":"Level 1 | Forum Event Plaza | Startup Plaza Studio","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Tuesday","type":{"id":"Type","displayName":"Featured experience"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Entrepreneur (Founder/Co-Founder)"},{"id":"Role","displayName":"Sales / Marketing"}],"features":[],"seatCapacity":20},{"id":"1780442267160001cTUO","hash":"c2e16369b9c66a4951dd209349a2df7f","shortId":"COP102-S","title":"Enterprise-Grade Outcomes. 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Learn why a platform-first approach to cost, access, and safety is critical for enabling AI innovation at enterprise scale.","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025472675001C7IZ","lastModified":"2026-11-06T02:23:04Z","speakers":[{"id":"1787613569447001YgTM_17746331reinvent2026","displayName":"Dan He","name":"Dan He","firstName":"Dan","lastName":"He","company":"NetEase, Inc."},{"id":"1787578529963001BveA_17746331reinvent2026","displayName":"Xiangxin Lin","name":"Xiangxin Lin","firstName":"Xiangxin","lastName":"Lin","company":"Netease Games"},{"id":"1730299294824001rkcx_17746331reinvent2026","displayName":"Zhuobin Huang","name":"Zhuobin Huang","firstName":"Zhuobin","lastName":"Huang","company":"AWS"}],"venueRoomName":"Level 1 | Academy 417","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Transform"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Games"}],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1780442271168001ci0e","hash":"5a65eed9e8fe6149547c43ea98f2f6be","shortId":"DAT201-S","title":"Escaping IIoT Pilot Purgatory: Why Your Database Breaks at Scale (sponsored by Tiger Data)","abstract":"Seventy-four percent of industrial IoT projects stall somewhere between pilot and production. The hard part is that the pilot worked. That is exactly what makes the failure so difficult to diagnose. Pilots succeed because a few hundred sensors over a few weeks fits comfortably in almost any database. Production does not. Storage costs compound faster than the budget that approved them, ingest hits a cliff with no warning, and the real-time dashboard that sold the project turns into a loading screen.\n\nSee where industrial systems and typical AWS pipelines reach their limits and how to scale beyond them. We’ll explore a proven architecture using AWS IoT Core, Amazon Kinesis, AWS Lambda, and a single Postgres database to support more than one million connected devices reporting every second. 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However, this transition requires careful planning and execution. In this session, discover the essential things you need to know to ensure a smooth and successful migration from Oracle to Aurora PostgreSQL and the optimal architectures to enable such a migration. 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In this lightning talk, learn from the AWS European Sovereign Cloud Managed Operations team what independent operations means in practice and how it works day to day.","startDateTime":"2026-12-03T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T16:50:00.000Z","endTime":"08:50","sessionTimeId":"1790033111726001qSv4","lastModified":"2026-11-04T14:33:47Z","speakers":[{"id":"1790323263654001Y6de_17746331reinvent2026","displayName":"Zoltan Albrecht","name":"Zoltan Albrecht","firstName":"Zoltan","lastName":"Albrecht","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Digital Sovereignty"},{"id":"AreaofInterest","displayName":"Amazon Builds on AWS"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1780442238084001cXpd","hash":"72551174990c4e262ba4843e86af3058","shortId":"COM322","title":"Eval-Driven LLM Routing: Cut Costs Without Losing Accuracy","abstract":"This session shows how to build an eval-driven LLM routing system: harvest a production eval dataset, define accuracy KPIs using LLM-as-judge, set a non-negotiable accuracy floor as the practitioner's decision, benchmark candidate models, and generate a routing policy optimized for cost within that floor. Result: approximately 80% cost reduction at maintained accuracy. A reference architecture you can start implementing immediately. 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You can't prove it works, you can't prove it's responsible, and compliance won't sign off. In this chalk talk, we walk through a production-readiness framework for AI agents on Amazon Connect. First, evaluation: measuring resolution with the Connect Simulation API to score AI agents on the same bar as human agents. Second, responsible AI: disclosure patterns that build trust, escalation triggers for sensitive journeys, and harm avoidance for regulated industries. Third, safeguards: defense-in-depth governance for agents that process refunds and access sensitive data, including asymmetric PII, MCP tool authorization for human confirmation, and automated escalation when confidence drops. Leave with a checklist: what to measure, what to disclose, what to block, and when to ship.","startDateTime":"2026-11-30T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-11-30T18:00:00.000Z","endDateTime":"2026-11-30T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025476635001CUoI","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1756396917675001xYq5_17746331reinvent2026","displayName":"Gulcin Batmaz","name":"Gulcin Batmaz","firstName":"Gulcin","lastName":"Batmaz","company":"Amazon Web Services"},{"id":"1757003083882001F9qo_17746331reinvent2026","displayName":"Nawaz Varda","name":"Nawaz Varda","firstName":"Nawaz","lastName":"Varda","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1790358246288001iBQV","shortId":"BIZ330-R1","startDateTime":"2026-12-02T18:30:00.000Z","endDateTime":"2026-12-02T19:30:00.000Z","startTime":"10:30","endTime":"11:30","day":"Wednesday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Alliance 314"}]},{"id":"1790358246288001iBQV","hash":"07521138a442a13064d02dcace725451","shortId":"BIZ330-R1","title":"Evaluate, Disclose, Safeguard: A Production-Readiness Framework for AI Agents","abstract":"Every organization is building AI agents, but few have made it to production. You can't prove it works, you can't prove it's responsible, and compliance won't sign off. In this chalk talk, we walk through a production-readiness framework for AI agents on Amazon Connect. First, evaluation: measuring resolution with the Connect Simulation API to score AI agents on the same bar as human agents. Second, responsible AI: disclosure patterns that build trust, escalation triggers for sensitive journeys, and harm avoidance for regulated industries. Third, safeguards: defense-in-depth governance for agents that process refunds and access sensitive data, including asymmetric PII, MCP tool authorization for human confirmation, and automated escalation when confidence drops. Leave with a checklist: what to measure, what to disclose, what to block, and when to ship.","startDateTime":"2026-12-02T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-02T18:30:00.000Z","endDateTime":"2026-12-02T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790360387956001Az9z","lastModified":"2026-11-03T20:08:10Z","speakers":[{"id":"1756396917675001xYq5_17746331reinvent2026","displayName":"Gulcin Batmaz","name":"Gulcin Batmaz","firstName":"Gulcin","lastName":"Batmaz","company":"Amazon Web Services"},{"id":"1757003083882001F9qo_17746331reinvent2026","displayName":"Nawaz Varda","name":"Nawaz Varda","firstName":"Nawaz","lastName":"Varda","company":"AWS"}],"venueRoomName":"Level 1 | Alliance 314","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1780442236708001cZlJ","shortId":"BIZ330-R","startDateTime":"2026-11-30T18:00:00.000Z","endDateTime":"2026-11-30T19:00:00.000Z","startTime":"10:00","endTime":"11:00","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1784231863051001EOxV","hash":"e470f1119837dcd32ab428c868a44259","shortId":"TNC221-R","title":"Evaluate Enterprise AI Agents with an Eval-First Approach","abstract":"A successful agent demo does not guarantee production readiness because agents can behave inconsistently across question types and multi-turn sessions. In this spotlight lab, you build two custom evaluators for an agent: THELMA, which scores single-turn RAG quality across seven dimensions including hallucination detection via groundedness scoring, and Mind the Goal, which computes Goal Success Rate across entire conversations and attributes failures to root causes. You register both as native AgentCore evaluators, run batch evaluations, and use diagnostic outputs to pinpoint exactly what to optimize first. ","startDateTime":"2026-11-30T16:00:00.000Z","startTime":"08:00","startTimeFormatted":"2026-11-30T16:00:00.000Z","endDateTime":"2026-11-30T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790018975367001cAQK","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726265933828001F1mU_17746331reinvent2026","displayName":"Jonathan Dion","name":"Jonathan Dion","firstName":"Jonathan","lastName":"Dion","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Lab"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":136,"repeats":[{"id":"1784231863474001EcQI","shortId":"TNC221-R1","startDateTime":"2026-12-01T16:00:00.000Z","endDateTime":"2026-12-01T18:00:00.000Z","startTime":"08:00","endTime":"10:00","day":"Tuesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1784231863474001EcQI","hash":"29eabf15f585b44d6443f0f266177e54","shortId":"TNC221-R1","title":"Evaluate Enterprise AI Agents with an Eval-First Approach","abstract":"A successful agent demo does not guarantee production readiness because agents can behave inconsistently across question types and multi-turn sessions. 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","startDateTime":"2026-12-01T16:00:00.000Z","startTime":"08:00","startTimeFormatted":"2026-12-01T16:00:00.000Z","endDateTime":"2026-12-01T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790892714168001fPbk","lastModified":"2026-11-06T15:55:01Z","speakers":[{"id":"1726265933828001F1mU_17746331reinvent2026","displayName":"Jonathan Dion","name":"Jonathan Dion","firstName":"Jonathan","lastName":"Dion","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Lab"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":200,"repeats":[{"id":"1784231863051001EOxV","shortId":"TNC221-R","startDateTime":"2026-11-30T16:00:00.000Z","endDateTime":"2026-11-30T18:00:00.000Z","startTime":"08:00","endTime":"10:00","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1790358249611001iI6g","hash":"b64a818595477d5d66b43a3862dc63c9","shortId":"IND302-R1","title":"Evaluating AI agents for production in financial services","abstract":"Financial institutions building AI agents face a core challenge: how do you prove an agent is reliable enough for production when regulators demand explainability and consistency? 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Leave with practical blueprints for constructing datasets, choosing metrics, and building continuous agent evaluation workflows for production.","startDateTime":"2026-12-01T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-01T22:30:00.000Z","endDateTime":"2026-12-01T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790360368276001Afu6","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726154267615001KTZt_17746331reinvent2026","displayName":"Jorge Castans Garcia","name":"Jorge Castans Garcia","firstName":"Jorge","lastName":"Castans Garcia","company":"Amazon Web Services"},{"id":"1756397026663001xjuw_17746331reinvent2026","displayName":"Jannis Kambach","name":"Jannis Kambach","firstName":"Jannis","lastName":"Kambach","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"},{"id":"Services","displayName":"AWS Lambda"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780442243992001cPQd","shortId":"IND302-R","startDateTime":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","startTime":"11:30","endTime":"12:30","day":"Thursday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442243992001cPQd","hash":"2688f65b6d4534d93859672cd10ba1a7","shortId":"IND302-R","title":"Evaluating AI agents for production in financial services","abstract":"Financial institutions building AI agents face a core challenge: how do you prove an agent is reliable enough for production when regulators demand explainability and consistency? 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Leave with practical blueprints for constructing datasets, choosing metrics, and building continuous agent evaluation workflows for production.","startDateTime":"2026-12-03T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025539000001C9NO","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726154267615001KTZt_17746331reinvent2026","displayName":"Jorge Castans Garcia","name":"Jorge Castans Garcia","firstName":"Jorge","lastName":"Castans Garcia","company":"Amazon Web Services"},{"id":"1756397026663001xjuw_17746331reinvent2026","displayName":"Jannis Kambach","name":"Jannis Kambach","firstName":"Jannis","lastName":"Kambach","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"},{"id":"Services","displayName":"AWS Lambda"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1790358249611001iI6g","shortId":"IND302-R1","startDateTime":"2026-12-01T22:30:00.000Z","endDateTime":"2026-12-01T23:30:00.000Z","startTime":"14:30","endTime":"15:30","day":"Tuesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1790358257112001iNjk","hash":"906b5d120890ec9b44002562dfeca88c","shortId":"AIM316-R1","title":"Evaluating AI Agents for your Nonprofit: From Vibes to Metrics on AWS","abstract":"You shipped an agent. How do you know it works? For organizations where AI decisions affect people's lives, rigorous evaluation isn't optional — it's ethical. This chalk talk introduces a structured evaluation framework combining Amazon Bedrock model evaluation, AgentCore observability, and CloudWatch metrics. We cover building eval datasets, measuring tool-use accuracy, detecting hallucination in agentic chains, benchmarking latency and cost, and setting up automated regression testing. Leave with a repeatable eval pipeline you can plug into CI/CD — turning agent quality from subjective to measurable. ","startDateTime":"2026-12-02T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790360397409001A7jh","lastModified":"2026-11-04T22:12:19Z","speakers":[{"id":"1770346672658001GOm2_17746331reinvent2026","displayName":"Krutika Khinvasara","name":"Krutika Khinvasara","firstName":"Krutika","lastName":"Khinvasara","company":"Amazon Web Services Inc."},{"id":"1725408279018001u15h_17746331reinvent2026","displayName":"Omar Tabbakha","name":"Omar Tabbakha","firstName":"Omar","lastName":"Tabbakha","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Serverless"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Responsible AI"},{"id":"AreaofInterest","displayName":"Tech for Impact"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1780442234059001cB58","shortId":"AIM316-R","startDateTime":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T19:30:00.000Z","startTime":"10:30","endTime":"11:30","day":"Thursday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442234059001cB58","hash":"00bcd1fd953a45f92ecca4134efa4f20","shortId":"AIM316-R","title":"Evaluating AI Agents for your Nonprofit: From Vibes to Metrics on AWS","abstract":"You shipped an agent. How do you know it works? For organizations where AI decisions affect people's lives, rigorous evaluation isn't optional — it's ethical. This chalk talk introduces a structured evaluation framework combining Amazon Bedrock model evaluation, AgentCore observability, and CloudWatch metrics. We cover building eval datasets, measuring tool-use accuracy, detecting hallucination in agentic chains, benchmarking latency and cost, and setting up automated regression testing. Leave with a repeatable eval pipeline you can plug into CI/CD — turning agent quality from subjective to measurable. ","startDateTime":"2026-12-03T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025536612001Cych","lastModified":"2026-11-05T04:56:24Z","speakers":[{"id":"1770346672658001GOm2_17746331reinvent2026","displayName":"Krutika Khinvasara","name":"Krutika Khinvasara","firstName":"Krutika","lastName":"Khinvasara","company":"Amazon Web Services Inc."},{"id":"1725408279018001u15h_17746331reinvent2026","displayName":"Omar Tabbakha","name":"Omar Tabbakha","firstName":"Omar","lastName":"Tabbakha","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Serverless"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Responsible AI"},{"id":"AreaofInterest","displayName":"Tech for Impact"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":98,"repeats":[{"id":"1790358257112001iNjk","shortId":"AIM316-R1","startDateTime":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1786043769553001qUMS","hash":"f0e93f13adbeff9982e8136c70e23b2a","shortId":"ANT430","title":"Event-driven agents at scale: building agentic AI on Amazon MSK","abstract":"Production agents need to dispatch long-running actions, wait on external systems, fan results out to analytics, and re-enter the conversation when work finishes — not sit in a synchronous loop. In this session, we present reusable patterns for building multi-tenant, event-driven agentic systems on Amazon MSK: dispatch-and-resume for long-running tool calls, topic and partition design keyed to tenant and conversation, decoupling the agent loop from channels and analytics, and durability and replay so in-flight work survives deploys and retries. Learn a practical approach for designing agentic SaaS that stays reliable as load, tools, and channels grow.","startDateTime":"2026-11-30T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-11-30T18:30:00.000Z","endDateTime":"2026-11-30T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025480085001C5sf","lastModified":"2026-11-05T23:39:21Z","speakers":[{"id":"1728413161668001mzg4_17746331reinvent2026","displayName":"Luca Perrozzi","name":"Luca Perrozzi","firstName":"Luca","lastName":"Perrozzi","company":"AWS"},{"id":"1725408340755001uHws_17746331reinvent2026","displayName":"Masudur Rahaman Sayem","name":"Masudur Rahaman Sayem","firstName":"Masudur Rahaman","lastName":"Sayem","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Managed Streaming for Apache Kafka (Amazon MSK)"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780442244643001ccSz","hash":"dc7dfb916584abc9cd630ff3cb160d3d","shortId":"IND313","title":"Event-driven AI agents for security triage with AWS Continuum","abstract":"Security teams need to detect, correlate, and respond to threats faster than manual processes allow. AWS Continuum validates exploitable findings and AI coding agents on Amazon Bedrock AgentCore close the loop. Agents remediate critical and high-severity findings, re-scan them, and open a pull request that AWS DevOps Agent reviews. For regulated industries, agents never merge their own fixes. Unresolved or new issues escalate to humans, and every fix has an audit trail. We walk through a real-world example in which a fix inadvertently introduced a new vulnerability and show how the automated loop caught it before it reached production. Leave with patterns to cut time-to-remediate and keep every change explainable.","startDateTime":"2026-11-30T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-11-30T17:00:00.000Z","endDateTime":"2026-11-30T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025474955001Cccr","lastModified":"2026-11-05T20:09:00Z","speakers":[{"id":"1724692883321001AtuU_17746331reinvent2026","displayName":"Lavanya Bandari","name":"Lavanya Bandari","firstName":"Lavanya","lastName":"Bandari","company":"Amazon"},{"id":"1738338573278001fL7H_17746331reinvent2026","displayName":"Ashish Kumar","name":"Ashish Kumar","firstName":"Ashish","lastName":"Kumar","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Lambda"},{"id":"Services","displayName":"AWS Continuum"}],"topics":[{"id":"Topic","displayName":"Application Integration"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Event-Driven Architecture"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Threat Intelligence"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780442223763001cG3t","hash":"4385ebf042ad8c7d96950cbca29f9aa6","shortId":"ARC404-R","title":"Event storming: Find your service boundaries before production does","abstract":"Split a system in the wrong place and you get a distributed monolith: coupled services with network hops instead of function calls. This session tackles the problem most teams get wrong, where to draw the boundary, using Event Storming. Together we map a real domain, trace information flow between actors, and identify natural division points, deciding ownership, data locality, transaction scope, and deployment independence at each boundary. Every decision is evidence based, grounded in observed event flow rather than intuition. Then you go hands on, taking one boundary and deploying it as an independent service on AWS. Leave with a repeatable method for boundary definition plus working code you built yourself. Bring your laptop.","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025548389001CuV3","lastModified":"2026-11-01T09:24:38Z","speakers":[{"id":"1724772002221001LgGM_17746331reinvent2026","displayName":"Jim Fernandes","name":"Jim Fernandes","firstName":"Jim","lastName":"Fernandes","company":"Amazon Web Services"},{"id":"1724779021263001TdcA_17746331reinvent2026","displayName":"Ramesh Chidirala","name":"Ramesh Chidirala","firstName":"Ramesh","lastName":"Chidirala","company":"Amazon Web Services"},{"id":"1725408307764001uZRW_17746331reinvent2026","displayName":"John Dougherty","name":"John Dougherty","firstName":"John","lastName":"Dougherty","company":"Amazon"},{"id":"1724771793910001TmbK_17746331reinvent2026","displayName":"Vaibhav Sabharwal","name":"Vaibhav Sabharwal","firstName":"Vaibhav","lastName":"Sabharwal","company":"Amazon Web Services"},{"id":"1725408322612001uHXJ_17746331reinvent2026","displayName":"Yongzhe Ren","name":"Yongzhe Ren","firstName":"Yongzhe","lastName":"Ren","company":"AWS"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Builders' Session 1","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon EventBridge"},{"id":"Services","displayName":"AWS Lambda"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Event-Driven Architecture"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1790358234280001iCkw","shortId":"ARC404-R1","startDateTime":"2026-12-02T20:00:00.000Z","endDateTime":"2026-12-02T21:00:00.000Z","startTime":"12:00","endTime":"13:00","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358234280001iCkw","hash":"4b948383f7e76d29fc62344262487e38","shortId":"ARC404-R1","title":"Event storming: Find your service boundaries before production does","abstract":"Split a system in the wrong place and you get a distributed monolith: coupled services with network hops instead of function calls. This session tackles the problem most teams get wrong, where to draw the boundary, using Event Storming. Together we map a real domain, trace information flow between actors, and identify natural division points, deciding ownership, data locality, transaction scope, and deployment independence at each boundary. Every decision is evidence based, grounded in observed event flow rather than intuition. Then you go hands on, taking one boundary and deploying it as an independent service on AWS. Leave with a repeatable method for boundary definition plus working code you built yourself. Bring your laptop.","startDateTime":"2026-12-02T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-02T20:00:00.000Z","endDateTime":"2026-12-02T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790360386999001AQ1m","lastModified":"2026-11-01T09:24:59Z","speakers":[{"id":"1724772002221001LgGM_17746331reinvent2026","displayName":"Jim Fernandes","name":"Jim Fernandes","firstName":"Jim","lastName":"Fernandes","company":"Amazon Web Services"},{"id":"1724779021263001TdcA_17746331reinvent2026","displayName":"Ramesh Chidirala","name":"Ramesh Chidirala","firstName":"Ramesh","lastName":"Chidirala","company":"Amazon Web Services"},{"id":"1725408307764001uZRW_17746331reinvent2026","displayName":"John Dougherty","name":"John Dougherty","firstName":"John","lastName":"Dougherty","company":"Amazon"},{"id":"1724771793910001TmbK_17746331reinvent2026","displayName":"Vaibhav Sabharwal","name":"Vaibhav Sabharwal","firstName":"Vaibhav","lastName":"Sabharwal","company":"Amazon Web Services"},{"id":"1725408322612001uHXJ_17746331reinvent2026","displayName":"Yongzhe Ren","name":"Yongzhe Ren","firstName":"Yongzhe","lastName":"Ren","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon EventBridge"},{"id":"Services","displayName":"AWS Lambda"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Event-Driven Architecture"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1780442223763001cG3t","shortId":"ARC404-R","startDateTime":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Thursday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Forum 120 | Content Hub | Builders' Session 1"}]},{"id":"1780442241479001cVUQ","hash":"2b7a15d0002bb1a3b06032a6659c4be4","shortId":"BIZ332","title":"​Every Candidate, Every Time: AI-Led Interviews with Connect Talent","abstract":"​​Who you hire is the most important decision you make, and the hardest to get right at scale. Built on Amazon Connect and grounded in Amazon’s hiring science, Amazon Connect Talent runs AI-led interviews that evaluate every candidate consistently. In this chalk talk, we show how role requirements become evaluation criteria and questions, how AI agents hold a natural conversation while covering each competency and gathering evidence, and how responses are scored against a rubric tied to specific evidence. See a single job posting become a scored, evidence-backed evaluation. Leave knowing how to tell hiring science from gut feel, and why that shows up in better hires and a fairer experience for every candidate.​​ \n","startDateTime":"2026-11-30T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-11-30T18:00:00.000Z","endDateTime":"2026-11-30T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790963621402001QOO3","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venueRoomName":"Level 1 | Academy 409","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Connect"}],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1780441486045001GV38","hash":"2d3213ddfeaf2e1dbd2d4ad7387b86e4","shortId":"AIM253-S","title":"Everyone is a Coder. Govern what they build. (sponsored by Coder)","abstract":"Suddenly, everyone is a coder. People who never wrote code now build apps, dashboards, and prototypes with AI, faster than most teams can govern them. The result is shadow AI, ungoverned data, and IP risk. See how a leading global private investment firm gave citizen developers a governed place to build on its existing AWS infrastructure, replacing scattered, unmanaged tools. Learn how approved models, scoped templates, centralized container management, and a complete audit trail let hundreds of builders move fast inside guardrails. Attendees leave with a practical model for governing AI adoption on their own AWS environment. This presentation is brought to you by Coder, an AWS Partner.","startDateTime":"2026-11-30T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-11-30T21:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025489410001CMKw","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1786384095722001RJAj_17746331reinvent2026","displayName":"John Zink","name":"John Zink","firstName":"John","lastName":"Zink","company":"Bain Capital"},{"id":"1729545554778001jb3a_17746331reinvent2026","displayName":"Abhipal Singh","name":"Abhipal Singh","firstName":"Abhipal","lastName":"Singh","company":"Bain Capital, LP"},{"id":"1742958039717001J2H4_17746331reinvent2026","displayName":"Nicky Pike","name":"Nicky Pike","firstName":"Nicky","lastName":"Pike","company":"Coder"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"Amazon EC2 Linux"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Management & Governance"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"}],"industry":[],"role":[{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":162},{"id":"1780442269711001cdXz","hash":"a75fb212d0e0d6e6c77e3af59f638459","shortId":"AIM121-S","title":"Everyone Says They Have an Ontology. Almost Nobody Does (sponsored by TextQL)","abstract":"Ontology has become one of the defining ideas in enterprise AI. Every cloud and data platform now claims to have one. They rarely converge on the same structure, conventions, or architecture. Those differences determine whether an ontology can support agentic AI. That test comes down to three things: how it's structured, how it's generated from the systems and context already in place, and how it stays current as the business changes. This talk lays out the practical requirements for an ontology built for agentic AI, drawing on the architecture TextQL runs across the messiest data estates at Fortune 50 companies. 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This hands-on session teaches a repeatable method for finding and fixing it. Use Flexible IO tester and a PostgreSQL/pgbench workload to connect storage metrics to database symptoms. Measure latency, IOPS, throughput, and queue depth; determine whether the limit is the volume, instance bandwidth, or I/O pattern; then tune the right EBS volume configuration. Validate every change with EBS detailed performance statistics and CloudWatch. Leave with a proven sizing-and-tuning method for database workloads on EC2.","startDateTime":"2026-12-03T16:00:00.000Z","startTime":"08:00","startTimeFormatted":"2026-12-03T16:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025529403001CUcm","lastModified":"2026-11-04T23:16:23Z","speakers":[{"id":"1736375276096001flko_17746331reinvent2026","displayName":"Anthony Thunyin","name":"Anthony Thunyin","firstName":"Anthony","lastName":"Thunyin","company":"Amazon Web Services"},{"id":"1738038908063001zLPB_17746331reinvent2026","displayName":"Shiju Purushothaman","name":"Shiju Purushothaman","firstName":"Shiju","lastName":"Purushothaman","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"Amazon Elastic Block Store (Amazon EBS)"},{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"}],"topics":[{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"Resilience"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[],"role":[{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":84},{"id":"1780442275221001cgNM","hash":"5abcb67a33df090164ed00fb764531a6","shortId":"ARC307","title":"Find failure modes faster: AI-powered resilience assessments","abstract":"Manual resilience reviews are slow, inconsistent, and routinely miss failure modes that don't surface until an incident occurs. In this workshop, you'll use the generative AI-driven assessment engine in AWS Resilience Hub to automatically discover dependencies across AWS services, internal endpoints, and third-party systems. You'll evaluate workloads against the Well-Architected Framework and your own defined resilience policies including availability SLOs, RTO, and RPO targets, then receive prioritized, actionable recommendations tied to business impact. Working with a reference architecture, you'll build a complete end-to-end assessment and leave with a repeatable framework you can run against any workload as your architecture evolves.\n\nBring your laptop to participate.","startDateTime":"2026-11-30T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-11-30T20:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790033115877001q1CL","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408444848001uH3o_17746331reinvent2026","displayName":"Matt Lanza","name":"Matt Lanza","firstName":"Matt","lastName":"Lanza","company":"Amazon"},{"id":"1740558763640001L8cj_17746331reinvent2026","displayName":"Ricardo Piqueras Bonet","name":"Ricardo Piqueras Bonet","firstName":"Ricardo","lastName":"Piqueras Bonet","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Resilience Hub"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Resilience"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140},{"id":"1780442280014001cmTr","hash":"aeb12ab2f861b4edc85bacbcebe36798","shortId":"SEC395-R","title":"Find, prove, and fix code vulnerabilities with AWS Continuum","abstract":"Frontier AI models discover code vulnerabilities in minutes. Security teams still take days or weeks to validate, prioritize, and fix them. In this builders' session, use AWS Continuum to close that gap end to end on a live application. You build a security context graph from your infrastructure, identity, and code to determine what is actually reachable, confirm exploitability through a sandboxed proof-of-concept, and generate a validated fix. You will see graduated trust in action, starting with human approval and promoting to autonomous remediation as confidence builds. Leave able to move your team from manual triage to continuous discovery, validation, and remediation.\n","startDateTime":"2026-12-02T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1791575950745001tuz9","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408477604001uhgz_17746331reinvent2026","displayName":"Pat Gaw","name":"Pat Gaw","firstName":"Pat","lastName":"Gaw","company":"AWS"}],"venueRoomName":"Level 1 | Alliance 311","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Continuum"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780442260614001cT5K","hash":"23092fb91ae284945d39723c2a5bd416","shortId":"COP361","title":"Find the waste hiding in your accelerator fleet ","abstract":"GPU and AI accelerators are the most expensive resources your teams run — and the hardest to observe when shared across teams. Most platform owners can't tell which workload is using which device, whether it's working or idle, or what a stalled run is costing per hour. When something degrades, teams find out after a crash or a surprise bill. This lightning talk explores how to spot what's sitting idle, pinpoint a failing device without sacrificing the healthy ones around it, and prioritize fixes by how much spend you can recover.","startDateTime":"2026-12-02T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-02T00:00:00.000Z","endDateTime":"2026-12-02T00:20:00.000Z","endTime":"16:20","sessionTimeId":"1791224279210001tHwb","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venueRoomName":"Level 2 | Hall B | Expo | Industry Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442235347001cZmp","hash":"3b1314e565669915ad89840342c25f0a","shortId":"AIM325","title":"Fine-Tune Agents That Reason: Multi-Turn RL on SageMaker AI","abstract":"AI agents that do real work, such as financial advising, coding, and customer operations, reason across turns, call tools, and recover when steps fail mid-conversation. Prompting won't get you there, and building multi turn RL from scratch takes weeks. We'll whiteboard how SageMaker AI's managed MTRL connects your Strands, LangChain, or CrewAI agent under 10 lines of code, handling rollouts, trajectories, and checkpointing, auto cataloged in SageMaker AI catalog. We'll cover reward design, rollouts in managed gym environments, decoupled training compute keeping GPUs from idling, and smaller specialized models outperforming larger ones at lower inference cost. Bring your agent use case and we'll sketch how to train it. ","startDateTime":"2026-11-30T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-11-30T21:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025486017001Cwfc","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1756492489419001dC6b_17746331reinvent2026","displayName":"Ruchi Bhatia","name":"Ruchi Bhatia","firstName":"Ruchi","lastName":"Bhatia","company":"AWS"},{"id":"1756397031284001xAcB_17746331reinvent2026","displayName":"Sandeep Raveesh","name":"Sandeep Raveesh","firstName":"Sandeep","lastName":"Raveesh","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82},{"id":"1780442285446001cKXh","hash":"1a19f1272ff2f2a35c33f32367c47857","shortId":"AIM389-S","title":"Fine-tune and evaluate NVIDIA Open models on Amazon SageMaker (sponsored by NVIDIA)","abstract":"Learn how to customize NVIDIA Open models using Amazon SageMaker without managing training infrastructure. This session walks through preparing a dataset, fine-tuning the model, and evaluating the customized model against the base model to measure improvements in quality. Attendees will leave with a practical workflow for adapting NVIDIA's open models to domain-specific use cases on AWS. This presentation is brought to you by NVIDIA, an AWS Partner.","startDateTime":"2026-12-02T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025525852001CRB2","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1730310120398001H9vE_17746331reinvent2026","displayName":"Curt Lockhart","name":"Curt Lockhart","firstName":"Curt","lastName":"Lockhart","company":"NVIDIA"},{"id":"1756397031284001xAcB_17746331reinvent2026","displayName":"Sandeep Raveesh","name":"Sandeep Raveesh","firstName":"Sandeep","lastName":"Raveesh","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon SageMaker"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"},{"id":"Topic","displayName":"Open Source"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Hands-on"}],"seatCapacity":112},{"id":"1780442225044001c10y","hash":"47ec4b85ca7e4bc5b86b9df49facde84","shortId":"COP311-R","title":"FinOps for AI: Cost allocation strategies for Amazon Bedrock","abstract":"As AI adoption accelerates, organizations need visibility into who is consuming Amazon Bedrock resources and how spend maps to business outcomes. In this builders' session, you'll get hands on with the latest cost management capabilities for Amazon Bedrock. You'll tag API calls for granular cost attribution, set real-time budgets to control Gen AI spend, and track costs as they happen in the Billing and Cost Management console. You'll then query new product metadata in CUR2 and visualize cost-per-million-token trends in CUDOS. Walk away with a practical framework for aligning AI spend to business outcomes.","startDateTime":"2026-12-03T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025536861001CU0f","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1787937032096001GD3V_17746331reinvent2026","displayName":"Brenno Passanha","name":"Brenno Passanha","firstName":"Brenno","lastName":"Passanha","company":"Amazon Web Services"},{"id":"1725408429933001uOXx_17746331reinvent2026","displayName":"Judith Lehner","name":"Judith Lehner","firstName":"Judith","lastName":"Lehner","company":"AWS"},{"id":"1787937484757001FrS5_17746331reinvent2026","displayName":"Ariel Fu","name":"Ariel Fu","firstName":"Ariel","lastName":"Fu","company":"AWS"},{"id":"1725408414737001usnA_17746331reinvent2026","displayName":"Yuriy Prykhodko","name":"Yuriy Prykhodko","firstName":"Yuriy","lastName":"Prykhodko","company":"AWS"},{"id":"1757593544380001iZnq_17746331reinvent2026","displayName":"Eric Christensen","name":"Eric Christensen","firstName":"Eric","lastName":"Christensen","company":"Amazon"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon QuickSight"},{"id":"Services","displayName":"AWS Billing and Cost Management"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1790358249719001icpQ","shortId":"COP311-R1","startDateTime":"2026-12-03T00:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","startTime":"16:30","endTime":"17:30","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358249719001icpQ","hash":"598edcf14a0080302514abed61162636","shortId":"COP311-R1","title":"FinOps for AI: Cost allocation strategies for Amazon Bedrock","abstract":"As AI adoption accelerates, organizations need visibility into who is consuming Amazon Bedrock resources and how spend maps to business outcomes. In this builders' session, you'll get hands on with the latest cost management capabilities for Amazon Bedrock. You'll tag API calls for granular cost attribution, set real-time budgets to control Gen AI spend, and track costs as they happen in the Billing and Cost Management console. You'll then query new product metadata in CUR2 and visualize cost-per-million-token trends in CUDOS. Walk away with a practical framework for aligning AI spend to business outcomes.","startDateTime":"2026-12-03T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-03T00:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790360390722001Asst","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1787937032096001GD3V_17746331reinvent2026","displayName":"Brenno Passanha","name":"Brenno Passanha","firstName":"Brenno","lastName":"Passanha","company":"Amazon Web Services"},{"id":"1725408429933001uOXx_17746331reinvent2026","displayName":"Judith Lehner","name":"Judith Lehner","firstName":"Judith","lastName":"Lehner","company":"AWS"},{"id":"1787937484757001FrS5_17746331reinvent2026","displayName":"Ariel Fu","name":"Ariel Fu","firstName":"Ariel","lastName":"Fu","company":"AWS"},{"id":"1725408414737001usnA_17746331reinvent2026","displayName":"Yuriy Prykhodko","name":"Yuriy Prykhodko","firstName":"Yuriy","lastName":"Prykhodko","company":"AWS"},{"id":"1757593544380001iZnq_17746331reinvent2026","displayName":"Eric Christensen","name":"Eric Christensen","firstName":"Eric","lastName":"Christensen","company":"Amazon"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon QuickSight"},{"id":"Services","displayName":"AWS Billing and Cost Management"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1780442225044001c10y","shortId":"COP311-R","startDateTime":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T19:30:00.000Z","startTime":"10:30","endTime":"11:30","day":"Thursday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442272494001ccjC","hash":"8534544885833caf5afac9c247886ecf","shortId":"AIM272-S","title":"FinOps for AI: Scale Investments That Work. Stop Ones That Don't. (sponsored by Kion)","abstract":"Most organizations can tell you what they spend on AI. Fewer can tell you what they're getting for it.\nFinOps for AI closes that gap, but it takes three things: visibility into spend by use case; controls that act on what the data tells you instead of just surfacing it; and value tracking that connects spend to outcomes your stakeholders can evaluate.\nThis session includes real examples of token attribution, guardrail patterns that respond to data, and a model for turning ROI signals into corrective action. This presentation is brought to you by Kion, an AWS Partner.","startDateTime":"2026-12-02T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-02T21:00:00.000Z","endDateTime":"2026-12-02T21:20:00.000Z","endTime":"13:20","sessionTimeId":"1790033122473001qMwF","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725470512919001NMAz_17746331reinvent2026","displayName":"Tatum Tummins","name":"Tatum Tummins","firstName":"Tatum","lastName":"Tummins","company":"Kion"}],"venueRoomName":"Level 2 | Hall B | Expo | Industry Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon SageMaker AI"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1787185261598001J8Jt","hash":"237bb255a8d5b31d623eb081e738e64f","shortId":"SEC433","title":"Firewall policy management for mixed regulated and legacy workloads","abstract":"Your firewall policy now has to cover new workloads on modern tech stacks alongside legacy systems still running Windows. Some of them fall under financial regulations, and others under privacy controls. In this code talk, we show how new firewall management features help you write policy elements your team can understand and maintain, avoid policy sprawl, and spend less time preparing for audits.","startDateTime":"2026-12-01T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790033112953001qdg9","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1728311668641001TULE_17746331reinvent2026","displayName":"Dario Goldfarb","name":"Dario Goldfarb","firstName":"Dario","lastName":"Goldfarb","company":"Amazon Web Services"},{"id":"1725408297643001usy2_17746331reinvent2026","displayName":"Ian Olson","name":"Ian Olson","firstName":"Ian","lastName":"Olson","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"AWS Network Firewall"},{"id":"Services","displayName":"AWS WAF"},{"id":"Services","displayName":"AWS Network Security Manager"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Management & Governance"},{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"},{"id":"AreaofInterest","displayName":"Automation"}],"industry":[],"role":[],"features":[],"seatCapacity":60},{"id":"1780442249509001ctlq","hash":"d9e8eb4a9350dc4384958c13eb08775e","shortId":"SEC3306","title":"Fix a Security Hub finding once with four layers of controls","abstract":"You remediate a finding today and see the same class of finding next week. This chalk talk shows how to break that cycle. You take a real AWS Security Hub finding category and work through four control layers. An SCP stops the misconfiguration, an AWS CloudFormation Guard rule catches it before deployment, an AWS Config rule detects existing violations, and AI-generated auto-remediation corrects drift. Each finding you remediate this way becomes a rule that keeps it from coming back.","startDateTime":"2026-12-04T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-04T00:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025551095001CNUw","lastModified":"2026-11-03T21:50:38Z","speakers":[{"id":"1748638360096001f11K_17746331reinvent2026","displayName":"Todd Kudlicki","name":"Todd Kudlicki","firstName":"Todd","lastName":"Kudlicki","company":"Amazon Web Services"},{"id":"1725408296479001uOVJ_17746331reinvent2026","displayName":"Maitreya Ranganath","name":"Maitreya Ranganath","firstName":"Maitreya","lastName":"Ranganath","company":"Amazon Web Services Inc"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Config"},{"id":"Services","displayName":"AWS Organizations"},{"id":"Services","displayName":"AWS Security Hub"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"DevSecOps"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":96},{"id":"1780442236897001cqDM","hash":"8c682367d03431430d5110e7b163c5f2","shortId":"BIZ325","title":"Fix Data Gaps Fast: Agentic Onboarding with Amazon Connect Decisions","abstract":"81% of enterprises report AI initiatives delayed or abandoned due to data and governance gaps — and 80–90% of new enterprise data is unstructured. The bottleneck isn't the model; it's the data. In this session, see how Amazon Connect Decisions uses agentic AI teammates to eliminate that gap. Watch a supply chain planner go from zero to a running demand forecast — connecting raw CSVs with no pre-cleaning, letting AI intelligently map and type-convert data, catching and fixing quality issues conversationally, and encoding tribal knowledge from a Word doc into live decision rules. No ETL code, no JIRA tickets, no months-long implementation. 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Operating a fleet of them is where the hard problems live: failures that surface far from their cause, VPC CNI IP exhaustion, Karpenter churn, and upgrades that stall across clusters. This chalk talk shows how AIOps and the AWS DevOps Agent bring order to operations at fleet scale. See how the DevOps Agent correlates signals across clusters to find root cause instead of chasing symptoms. Learn how it turns noisy telemetry into a diagnosis and a recommended fix. 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Now you want to move it to production on AWS with auth, a database, and an architecture that scales. In this hands-on session, walk your prototype from code to live app on AWS. You'll generate a migration plan, provision infrastructure with the Agent Toolkit, and deploy with AWS Blocks. 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From hundreds of enterprise engagements, we expose the architectural decisions that silently create operational debt — decomposition without observability boundaries, blast-radius assumptions that fail under correlated load, and abstraction layers hiding the signals operators need. We unpack where good architecture and operable architecture diverge, which trade-offs are worth making early, and what questions your team should be asking before committing to a design. 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In this workshop, run the full loop, baseline eval, fine-tune, RL, re-eval, against the same bar every time. Start with a benchmark baseline on a Hugging Face model. Then fine-tune with QLoRA on Amazon SageMaker AI Training Jobs, with full control over your training script and compute. Add an RL pass with RLAIF or RLVR to optimize against a reward signal the benchmark alone can't score, and re-evaluate against that same baseline to see whether the gain is real or just a lower loss number. Put the whole sequence into a SageMaker Pipeline so it reruns on new data without manual rework. Bedrock Guardrails sit at the deployment gate. 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In this intimate session, you'll hear candid stories about what actually works and what doesn't, and have space to share your own struggles and ask the questions you're afraid to ask on a conference floor. Expect honest conversation with peers who've been where you are. No slides, no polish, just founders talking to founders.","startDateTime":"2026-12-02T16:00:00.000Z","startTime":"08:00","startTimeFormatted":"2026-12-02T16:00:00.000Z","endDateTime":"2026-12-02T17:00:00.000Z","endTime":"09:00","sessionTimeId":"1793395115638001xVLC","lastModified":"2026-11-02T22:40:31Z","speakers":[],"venueRoomName":"Level 1 | Forum Event Plaza | Startup Plaza Studio","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Featured experience"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Entrepreneur (Founder/Co-Founder)"}],"features":[],"seatCapacity":20},{"id":"1780442253453001c22b","hash":"6c45483a6ebe48a5d59d9a59c8694d9b","shortId":"AIM337-R","title":"Four agents, one answer: multi-agent synthesis on AWS","abstract":"Turning messy, unstructured sources into summaries you can trust takes more than one model. We walk through a working multi-agent system where four specialized agents (a searcher, an analyst, a verifier, and a synthesizer) collaborate to produce cited, evidence-backed results, each running on the Bedrock model best suited to its job. We dissect the hard parts of multi-agent design (message routing, shared state, bounded retries, and cost control). Leave with patterns you can replicate for evidence-backed synthesis in your own domain.","startDateTime":"2026-11-30T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-11-30T20:00:00.000Z","endDateTime":"2026-11-30T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790033115209001qk08","lastModified":"2026-11-06T01:11:28Z","speakers":[{"id":"1725408279825001ugQp_17746331reinvent2026","displayName":"Matt Bollinger","name":"Matt Bollinger","firstName":"Matt","lastName":"Bollinger","company":"Amazon Web Services"},{"id":"1725027004378001iYBs_17746331reinvent2026","displayName":"Aneel Murari","name":"Aneel Murari","firstName":"Aneel","lastName":"Murari","company":"AWS"},{"id":"1736797029241001hxkc_17746331reinvent2026","displayName":"Sindhu Pillai","name":"Sindhu Pillai","firstName":"Sindhu","lastName":"Pillai","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Inclusion"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":120,"repeats":[{"id":"1790358248757001iSTh","shortId":"AIM337-R1","startDateTime":"2026-12-03T21:30:00.000Z","endDateTime":"2026-12-03T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Thursday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358248757001iSTh","hash":"68699f07c4366ff3241b7131ed207265","shortId":"AIM337-R1","title":"Four agents, one answer: multi-agent synthesis on AWS","abstract":"Turning messy, unstructured sources into summaries you can trust takes more than one model. 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In this builders' session, you'll work through four labs to reduce your Windows and SQL Server spend on Amazon EC2: (1) enable Compute Optimizer for continuous fleet right-sizing; (2) use Optimize CPU to align cores with compute requirements; (3) classify SQL Server HA clusters to remove passive-node licensing fees; and (4) downgrade SQL Server Enterprise to Standard edition. Leave with a production-ready cost optimization blueprint.","startDateTime":"2026-12-03T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025531121001Cpbd","lastModified":"2026-11-03T22:06:21Z","speakers":[{"id":"1729032686761001JNKC_17746331reinvent2026","displayName":"Nits Jeganathan","name":"Nits Jeganathan","firstName":"Nits","lastName":"Jeganathan","company":"Amazon Web Services"},{"id":"1734010948412001nVVT_17746331reinvent2026","displayName":"Vitor Euphrasio da Silva","name":"Vitor Euphrasio da Silva","firstName":"Vitor","lastName":"Euphrasio da Silva","company":"AWS"},{"id":"1733162077033001jjrK_17746331reinvent2026","displayName":"Thiago Mantovani","name":"Thiago Mantovani","firstName":"Thiago","lastName":"Mantovani","company":"Amazon Web Services"},{"id":"1736374393561001JyGA_17746331reinvent2026","displayName":"Thiago Goncalves","name":"Thiago Goncalves","firstName":"Thiago","lastName":"Goncalves","company":"Amazon"},{"id":"1736545078502001Mk92_17746331reinvent2026","displayName":"Luciano Bernardes","name":"Luciano Bernardes","firstName":"Luciano","lastName":"Bernardes","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"AWS Application Discovery Service"},{"id":"Services","displayName":"AWS Compute Optimizer"}],"topics":[{"id":"Topic","displayName":"Databases"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Microsoft & .NET"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780442282512001ctMv","hash":"740b5d3f2805994be3052b5a2d1b77f7","shortId":"MAM416","title":"Free your .NET app from Windows licensing with AI-powered portability","abstract":"This workshop walks you through modernizing a .NET Framework 4.8 Web Forms application to cross-platform .NET 10. You will learn how to transform a .NET Framework 4.8 Web Forms application to .NET 10 Blazor using AWS Transform Interactive Mode. Throughout the session, you will interact with the AI agent in real-time asking questions, reviewing assessment and transformation plans, and examining transformation results, including code diffs and build verification. Finally, use Kiro to identify and fix post-transformation runtime issues, such as layout problems, and containerize and deploy the transformed application to Amazon ECS Fargate using the Kiro IDE.","startDateTime":"2026-12-03T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-12-03T23:30:00.000Z","endDateTime":"2026-12-04T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025549878001CVg8","lastModified":"2026-11-06T06:48:29Z","speakers":[{"id":"1761280765468001v0rE_17746331reinvent2026","displayName":"Khurram Khawaja","name":"Khurram Khawaja","firstName":"Khurram","lastName":"Khawaja","company":"AWS"},{"id":"1756397013295001xGoK_17746331reinvent2026","displayName":"Mangesh Budkule","name":"Mangesh Budkule","firstName":"Mangesh","lastName":"Budkule","company":"Amazon"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"AWS Transform"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Microsoft & .NET"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":150},{"id":"1780442271819001cME1","hash":"c113d1ee0b4436f70543342721e43dcb","shortId":"AIM285-S","title":"Fresh Threats, Stale Defenses: The Race for Real‑Time Security (sponsored by Booz Allen)","abstract":"Cyber conflict has entered a new phase, accelerated by AI that increases the volume, velocity, and sophistication of attacks. The shift is not that attackers are unstoppable — it is that they operate on a faster clock than the systems meant to contain them. Their advantage is freshness: exploiting what changed before defenders reconcile it, exploiting uncertainty before it becomes understanding, and exploiting stale proof before records drift from reality. AI compresses discovery and action, scaling tasks that once required teams. In this session, learn how defense can be rebuilt around real‑time truth, continuous visibility, and inspectable, defensible action. 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Adoption grew from 1,500 databases launched daily in early 2024 to more than one million in a single week in Q3 2026. Running entirely on AWS, Supabase uses Amazon S3 and Amazon EC2 instances with AWS Graviton processors alongside Amazon EKS and Amazon CloudWatch to support that growth. This session shows how startups can use Supabase to launch AI applications quickly and examines the infrastructure behind its database provisioning at scale. 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New Jersey Institute of Technology (NJIT) faced a similar challenge, with AI activity emerging across the institution without a unified strategy, governance model or operating framework. In partnership with Kyndryl, NJIT established an AI governance strategy, operating model and leadership alignment process that transformed fragmented experimentation into a coordinated, institution-wide programme. Join NJIT, Kyndryl and AWS to learn how governance, stakeholder alignment and dedicated operating models can accelerate AI innovation with confidence. Discover why successful AI transformation begins with strategy before technology, and how organisations can move from experimentation to scalable impact. 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Spinning an AI prototype is easy while making it enterprise-ready is much more challenging. Most organizations can’t keep track of their dependencies within their AI projects, leading to solutions that fail security checks and break easily. How do you move to a robust, secure AI solution that is built to last? Learn how to architect, secure, and maintain a resilient enterprise-grade AI infrastructure on Ubuntu, without sacrificing speed. 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One person pulls data, another reviews it for compliance, a third routes it for approval. That coordination tax is where your team's time disappears. Amazon Quick changes that equation. Instead of one AI assistant doing one task, specialized agents each handle their piece and hand off to the next automatically. The human stays in the loop for judgment calls, not for data gathering and routing. Hear from a customer who moved from standalone AI use cases to compound, multi-agent workflows with Amazon Quick. 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","startDateTime":"2026-12-02T20:30:00.000Z","startTime":"12:30","startTimeFormatted":"2026-12-02T20:30:00.000Z","endDateTime":"2026-12-02T20:50:00.000Z","endTime":"12:50","sessionTimeId":"1790033124675001q0to","lastModified":"2026-11-06T01:41:08Z","speakers":[{"id":"1758922756656001SMXg_17746331reinvent2026","displayName":"Nuri Gocay","name":"Nuri Gocay","firstName":"Nuri","lastName":"Gocay","company":"Zendesk, Inc."},{"id":"1764220501517001uMO8_17746331reinvent2026","displayName":"Hannah Deveney","name":"Hannah Deveney","firstName":"Hannah","lastName":"Deveney","company":"Zendesk"}],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Application Integration"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Workforce Development"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780441484751001GOSV","hash":"2e3f245af4af1df41d9df45fc947ba28","shortId":"AIM459-S","title":"From AI to Action: Powering Agentic Enterprises with AWS and Infosys (sponsored by Infosys)","abstract":"As AI evolves from generating insights to driving action, leading organizations are adopting intelligent agents to transform how work gets done. 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Leave with a maturity rubric and two practical reference architectures.","startDateTime":"2026-12-03T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790360369225001Ak5D","lastModified":"2026-11-04T22:12:19Z","speakers":[{"id":"1725408305517001uhx0_17746331reinvent2026","displayName":"Madhu Bussa","name":"Madhu Bussa","firstName":"Madhu","lastName":"Bussa","company":"Amazon"},{"id":"1725408305024001u0Ok_17746331reinvent2026","displayName":"Mike George","name":"Mike George","firstName":"Mike","lastName":"George","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon EventBridge"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Tech for Impact"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780442234119001ckHe","shortId":"AIM324-R","startDateTime":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","startTime":"16:00","endTime":"17:00","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780441470895001GrE6","hash":"15329e9df0def4803f7c8f4bb8ba7b5e","shortId":"MAM230","title":"From CI/CD to CI/CD/CM: Continuous modernization for AI-generated code","abstract":"AI coding agents help developers ship more code than ever, but every new line adds dependencies, frameworks, and runtimes that will age into tech debt. Periodic \"modernization sprints\" can't keep up. In this session, learn how AWS Transform – continuous modernization makes code health a standing part of your software lifecycle, alongside build and deploy. See how it scans thousands of repositories in hours to find end-of-life dependencies, non-standard frameworks, and gaps that slow down AI agents. Then see how it remediates across your portfolio and monitors it as new issues appear. Learn how to define a transformation once and reuse it across your organization, and how customers cut tech debt assessment effort by over 60%. Leave with a practical path to keep your codebases modern, secure, and ready for AI.","startDateTime":"2026-12-03T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1793828042126001H6KU","lastModified":"2026-11-04T21:44:40Z","speakers":[],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Red Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Management & Governance"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780442241998001cWqa","hash":"c8df2d0293b353bcd965a6a9d408d9d5","shortId":"DVT343-R","title":"From code to production in seconds — building web apps that last","abstract":"Getting a web application live is fast. Keeping it running, reliable, and affordable as you grow is the hard part. In this chalk talk, we dig into the developer journey from first deploy to production scale: zero-config deployment, full-stack provisioning with open-source building blocks, and how to scale without starting over. Bring your questions about framework support, backend integration, and pricing.","startDateTime":"2026-12-02T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-02T21:00:00.000Z","endDateTime":"2026-12-02T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1791224280321001tUkm","lastModified":"2026-11-04T10:50:27Z","speakers":[],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Developer Tools"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780442390159001NeaQ","hash":"3012c87a82e5d8f2cb19423fa1c21ae5","shortId":"SEC223-S","title":"From Confirmed Exploit to AWS WAF Rule in Minutes (sponsored by Terra)","abstract":"A confirmed exploit still needs a code fix, and that fix often takes days or weeks. The exploit path stays open the whole time. This session shows how Terra Security turns a validated pentest finding into a scoped virtual patch inside the application's existing AWS WAF: matched to the specific attack, not a site-wide block, activated by a human on your team, and checked against both the exploit and normal traffic before you trust it. You will leave with a clear picture of how the integration works and a model for closing the gap between proof and fix without breaking the app you are protecting. This presentation is brought to you by Terra, an AWS Partner.","startDateTime":"2026-12-03T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T19:50:00.000Z","endTime":"11:50","sessionTimeId":"1790033111397001qFLU","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1788791833585001GzCy_17746331reinvent2026","displayName":"Spencer Chin","name":"Spencer Chin","firstName":"Spencer","lastName":"Chin","company":"Terra Security"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS WAF"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"},{"id":"AreaofInterest","displayName":"DevSecOps"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1780442272072001cHdC","hash":"304ad2657ca7f3d3f847cade21d28dbd","shortId":"SEC379-S","title":"From containers to containment: trust the boundary, not the agent (sponsored by Docker)","abstract":"For a decade, teams have trusted containers to run the same way everywhere. Coding agents raise the stakes: the thing inside now installs packages, accesses credentials, and acts on its own. In this session, see how the idea that made containers the standard becomes containment for agents: a Docker sandbox that limits what an agent can reach, hardened images beneath what it builds, and a record of what it was allowed to do and what was stopped, under policies set once for every developer. The agent gets room to work; the boundary gets the trust. That is what running on trust means. This presentation is brought to you by Docker, an AWS Partner.","startDateTime":"2026-12-02T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-12-02T23:30:00.000Z","endDateTime":"2026-12-02T23:50:00.000Z","endTime":"15:50","sessionTimeId":"1792790843283001jcv7","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Elastic Container Registry (Amazon ECR)"},{"id":"Services","displayName":"Amazon Elastic Container Service (Amazon ECS)"}],"topics":[{"id":"Topic","displayName":"Application Integration"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442260561001ceXP","hash":"27ec042706df4efdfddeb92212af88c1","shortId":"AIM2211","title":"From Cost to Compliance: Scaling Scalable GenAI with Amazon Nova","abstract":"Enterprises putting generative AI into production face three converging pressures: controlling inference cost at scale, meeting compliance and data-residency requirements, and migrating off incumbent models without losing accuracy  or quality. Amazon Nova is purpose-built for this reality. In this session, learn how organizations across regulated  and cost-sensitive industries are standardizing on Amazon Nova to run high-volume GenAI workloads at a fraction of the  cost while meeting strict compliance requirements.","startDateTime":"2026-12-03T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-03T22:30:00.000Z","endDateTime":"2026-12-03T22:50:00.000Z","endTime":"14:50","sessionTimeId":"1793087090819001MSkL","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venueRoomName":"Level 2 | Hall B | Expo | Global Impact Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Responsible AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442252389001c6lD","hash":"cc9b5efa56adddc9bf3570b0aee4964c","shortId":"STG356","title":"From CSV to Iceberg: Understanding open data formats on Amazon S3","abstract":"Building a data lake on Amazon S3 and need to decide between Parquet, Hive, and Iceberg – or understand how your team already did? In this session we develop the mental model for storing structured data on Amazon S3 and trace how it evolved. Understand formats from CSV to Parquet that accelerate analytic queries, walk through the evolution of table and partition schemas that organize data at scale, and learn how open table formats like Apache Iceberg bring database-like capabilities to your data lake. Leave with a clear picture of each and how Amazon S3 Tables bring it all together as a fully managed experience. ","startDateTime":"2026-12-03T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025539894001CjJZ","lastModified":"2026-11-06T10:53:45Z","speakers":[{"id":"1726617178948001imjl_17746331reinvent2026","displayName":"Danny Jones","name":"Danny Jones","firstName":"Danny","lastName":"Jones","company":"AWS"},{"id":"1725408300625001u69U_17746331reinvent2026","displayName":"Ran Pergamin","name":"Ran Pergamin","firstName":"Ran","lastName":"Pergamin","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780442269999001csdv","hash":"bfe12f7a0f2a5411d61583ad49c6cc6d","shortId":"HMC205-S","title":"From Dashboards to Agents: Building an Agentic NOC (sponsored by Selector AI)","abstract":"For decades, NOCs have been built around dashboards, alerts, and humans manually stitching together signals from dozens of disconnected tools. That model is breaking under the complexity of modern hybrid networks and sprawling multi-cloud estates. Simply bolting AI onto existing monitoring tools isn't enough to fix it. This talk reimagines the NOC around purpose-built agents built for cloud-scale operations, each progressing through a five-stage maturity model (Observe, Monitor, Triage, Optimize, and Act), that governs how much autonomy each agent earns over time. Attendees will leave with a concrete mental model for evolving their own cloud operations stack from tools that observe to agents that act. This presentation is brought to you by Selector AI, an AWS Partner.","startDateTime":"2026-12-03T19:00:00.000Z","startTime":"11:00","startTimeFormatted":"2026-12-03T19:00:00.000Z","endDateTime":"2026-12-03T19:20:00.000Z","endTime":"11:20","sessionTimeId":"1790033122908001qwwd","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1787324718989001MstM_17746331reinvent2026","displayName":"Michael Bonnett Jr","name":"Michael Bonnett Jr","firstName":"Michael","lastName":"Bonnett Jr","company":"Selector"}],"venueRoomName":"Level 2 | Hall B | Expo | Industry Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"},{"id":"Topic","displayName":"Networking & Content Delivery"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442272661001cvLu","hash":"27fbfea5672ab91913adb91e835168e4","shortId":"ARC210-S","title":"From Databases to Agentic AI: Powering Innovation with AMD EPYC on AWS (sponsored by AMD)","abstract":"Today's organizations need infrastructure that can efficiently support everything from mission-critical databases to next-generation AI applications. Join AMD and AWS to explore how customers are leveraging Amazon EC2 instances powered by AMD EPYC processors across Amazon RDS, analytics, Agentic AI, HPC, and cloud-native applications. Learn how AMD-powered AWS infrastructure delivers compelling price-performance, scalability, and operational efficiency while helping organizations accelerate innovation, optimize costs, and meet growing compute demands. This presentation is brought to you by AMD, an AWS Partner.","startDateTime":"2026-12-01T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-01T18:30:00.000Z","endDateTime":"2026-12-01T18:50:00.000Z","endTime":"10:50","sessionTimeId":"1790033123639001quDu","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1749163723031001pHl2_17746331reinvent2026","displayName":"Jeremy Girven","name":"Jeremy Girven","firstName":"Jeremy","lastName":"Girven","company":"AMD"},{"id":"1761940564848001btq1_17746331reinvent2026","displayName":"Ray Prado","name":"Ray Prado","firstName":"Ray","lastName":"Prado","company":"AMD"}],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Sales / Marketing"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442267355001cmRv","hash":"a7c36071a1ee2e66ec3e41e4b9de128b","shortId":"AIM228-S","title":"From Data Overload to Action: A Voice-Enabled Digital Assistant for O&G Field Ops (sponsored by PwC)","abstract":"Field operators in oil and gas often have to piece together production data, equipment alarms, safety notifications, and maintenance priorities from multiple systems to decide how to spend their day. Join Continental Resources and PwC to discover how they collaborated to develop a voice-enabled, mobile-first AI solution built on AWS that brings prioritized route-based worklists, well-health visibility, shift handover insights, and voice work note capture into one place. The session covers the journey from frontline challenges to scaling across multiple basins, including the phased delivery approach and lessons learned from field operators, and shows how to move beyond AI experimentation to solutions embedded in everyday workflows.","startDateTime":"2026-12-01T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-01T22:30:00.000Z","endDateTime":"2026-12-01T22:50:00.000Z","endTime":"14:50","sessionTimeId":"1790033124067001qa8U","lastModified":"2026-11-05T18:54:25Z","speakers":[{"id":"1758821707643001Rasw_17746331reinvent2026","displayName":"Satish Patharkar","name":"Satish Patharkar","firstName":"Satish","lastName":"Patharkar","company":"PG&E"},{"id":"1726766687171001yM0G_17746331reinvent2026","displayName":"Puneet Goel","name":"Puneet Goel","firstName":"Puneet","lastName":"Goel","company":"PriceWaterHouseCoppers"},{"id":"1725925522134001Qbkv_17746331reinvent2026","displayName":"Madhav Ravipati","name":"Madhav Ravipati","firstName":"Madhav","lastName":"Ravipati","company":"Pacific gas and electric"}],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Automation"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442262313001c5sU","hash":"33e55a0b09beb7cf990859761df8b696","shortId":"COM338","title":"From Demo to Production: The Craft Behind AI Agents at Scale","abstract":"Your agent reasons, calls tools, and demos beautifully. Then production happens. This session is about the craft that lives after the demo: the unglamorous engineering that separates agents that ship from agents that stay in notebooks. Using real AWS accounts and Amazon Bedrock AgentCore, I'll walk through deterministic guardrails that make destructive actions impossible (not just discouraged), spend limits an agent can't prompt-inject its way past, evaluation you can trust, and the IAM that silently breaks first. You'll leave with a production-readiness framework for agentic systems—and honest stories about everything that failed on the way there.","startDateTime":"2026-12-02T17:30:00.000Z","startTime":"09:30","startTimeFormatted":"2026-12-02T17:30:00.000Z","endDateTime":"2026-12-02T17:50:00.000Z","endTime":"09:50","sessionTimeId":"1791215323222001nZi1","lastModified":"2026-11-02T15:06:40Z","speakers":[{"id":"1748981204904001Nx9U_17746331reinvent2026","displayName":"Gerardo Arroyo Arce","name":"Gerardo Arroyo Arce","firstName":"Gerardo","lastName":"Arroyo Arce","company":"West Monroe"},{"id":"1744316462376001VO6T_17746331reinvent2026","displayName":"Diana Castro Cordero","name":"Diana Castro Cordero","firstName":"Diana","lastName":"Castro Cordero","company":"Bac"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1780442266037001cdtW","hash":"b547c6d8ed81f8ca5ff31604426560f2","shortId":"IND107-S","title":"From discoverable to buyable: Commerce stacks for agent-driven shoppers (sponsored by Stripe)","abstract":"Join Stripe on how AI is changing how shoppers find and buy products—and what it means for your commerce stack. With 20% of holiday ecommerce traffic projected from AI agents, this session is designed for retail leaders moving from \"exploring\" to \"ready.\" Converting this traffic requires a different approach to catalog readiness, checkout, fraud, and fulfillment. Attendees will leave with clear priorities to act on today and carry into 2027. This presentation is brought to you by Stripe, an AWS Partner.","startDateTime":"2026-12-01T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-01T19:30:00.000Z","endDateTime":"2026-12-01T19:50:00.000Z","endTime":"11:50","sessionTimeId":"1790033123746001q5pV","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1730477640241001l1Ra_17746331reinvent2026","displayName":"Danny Smith","name":"Danny Smith","firstName":"Danny","lastName":"Smith","company":"Stripe, Inc."}],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Advisor / Consultant"},{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Entrepreneur (Founder/Co-Founder)"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442245724001crrE","hash":"fb7935f0a4d8c10ab5a436b15d1feb5f","shortId":"IND418-R","title":"From documents to decisions: Agentic AI for federal operations","abstract":"Accelerate mission-critical federal operations with agentic AI—from public-information analysis to sensitive document workflows. This expert chalk talk explores patterns for document review, supply chain optimization and classified medical health records backed by real-world implementations. Whiteboard multi-agent orchestration with Amazon Bedrock, including least-privilege tool access, human approval, auditability, and failure recovery. Compare Amazon Bedrock AgentCore for eligible workloads such as regulatory review, grants, and benefits processing with FEDRAMP (Class C and D). Further explore container-based agent architectures for IL4/IL5 environments using authorized AWS services and models. 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","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790360389323001AM2X","lastModified":"2026-11-04T22:12:22Z","speakers":[{"id":"1725408463954001u9fx_17746331reinvent2026","displayName":"Raghavarao Sodabathina","name":"Raghavarao Sodabathina","firstName":"Raghavarao","lastName":"Sodabathina","company":"AWS"},{"id":"1725566544374001SHh6_17746331reinvent2026","displayName":"Harsha Tadiparthi","name":"Harsha Tadiparthi","firstName":"Harsha","lastName":"Tadiparthi","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Tech for Impact"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Government"}],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":75,"repeats":[{"id":"1780442245724001crrE","shortId":"IND418-R","startDateTime":"2026-12-02T00:30:00.000Z","endDateTime":"2026-12-02T01:30:00.000Z","startTime":"16:30","endTime":"17:30","day":"Tuesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780441489120001GbbU","hash":"618fd19e80da2235d3bbe1836f0b73aa","shortId":"AIM133-S","title":"From First Workload to the Autonomous Enterprise: Transform and Scale with SAP on AWS (sponsored by SAP)","abstract":"Agentic AI is making ERP modernization more urgent than ever. To coordinate decisions across the organization enterprise, AI must be grounded in a modern cloud ERP foundation—one that connects data, processes, business rules, and controls. ERP is no longer just where work is recorded. It has become the operational foundation that enables enterprise agentic AI and ultimately the Autonomous Enterprise.​\n\nSAP and AWS are partnering to help clients accelerate their AI vision Autonomous Enterprise where people set direction, AI executes operational tasks, and organizations respond faster to change leveraging a single intelligent system with full business context. 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What if AI could understand your industry's systems, standards, and compliance requirements? In this session, we explore how pre-configured agents, skills, knowledge bases, and ISV connectors can address industry-specific use cases while giving customers the flexibility to extend and customize their enterprise workflows. 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We'll build up the reference architecture live, show where each piece fits, and walk through the adoption path customers are on today.","startDateTime":"2026-12-01T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790360398600001AvA0","lastModified":"2026-11-06T15:56:00Z","speakers":[{"id":"1725408288787001u5nM_17746331reinvent2026","displayName":"Hendrik Schoeneberg","name":"Hendrik Schoeneberg","firstName":"Hendrik","lastName":"Schoeneberg","company":"Amazon Web Services"},{"id":"1764687049341001hagB_17746331reinvent2026","displayName":"Raphael Hofer","name":"Raphael Hofer","firstName":"Raphael","lastName":"Hofer","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"},{"id":"Services","displayName":"AWS Lambda"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[{"id":"Industry","displayName":"Automotive"}],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780442245097001cPaL","shortId":"IND3320-R","startDateTime":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Monday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780441461538001GymR","hash":"6ad41eee070f51fb792c4c4f0f0de4ef","shortId":"ANT337","title":"From human search to agent retrieval on OpenSearch Service","abstract":"Agents don't search like humans. They fire hundreds of sub-queries per task, need to carry knowledge across sessions, and act on whatever they retrieve. In production, teams hit the same walls: wrong retrieval cascades into wrong actions; when knowledge disappears between sessions, agents repeat work and mistakes; and teams need to see what an agent retrieved, why it acted, and what happened downstream. In this session, learn how Amazon OpenSearch Service helps agents find, remember, and observe on one open foundation, see it in a live demo, and hear how Intuit uses OpenSearch Service across its platform and products.","startDateTime":"2026-12-03T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025542876001CK86","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725634091433001OPYd_17746331reinvent2026","displayName":"Tia White","name":"Tia White","firstName":"Tia","lastName":"White","company":"AWS"},{"id":"1727732394087001KgkS_17746331reinvent2026","displayName":"Archal Kumar","name":"Archal Kumar","firstName":"Archal","lastName":"Kumar","company":"Intuit"},{"id":"1725566553084001STHk_17746331reinvent2026","displayName":"Sohaib Katariwala","name":"Sohaib Katariwala","firstName":"Sohaib","lastName":"Katariwala","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon OpenSearch Serverless"},{"id":"Services","displayName":"Amazon OpenSearch Service"},{"id":"Services","displayName":"OpenSearch"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780442270625001cRre","hash":"32263e24fe96958f4f9243ea9af65710","shortId":"AIM464-S","title":"From Infrastructure to Intelligence: Building the Full AI Stack in Saudi Arabia (sponsored by HUMAIN)","abstract":"From Infrastructure to Intelligence: Building the Full AI Stack in Saudi Arabia\n\nBuilding AI at scale means bringing together far more than compute. This conversation will bring together HUMAIN, AWS and technology partners to explore how infrastructure, cloud, data, models and enterprise applications are being connected in Saudi Arabia, and what it takes to make those layers work as one system. The panel will look at partnerships at play across the stack, including the HUMAIN–AWS AI Zone, HUMAIN Fabric on AWS Marketplace and ALLAM on Amazon Bedrock, and discuss what this emerging ecosystem could enable for customers in MENA and around the world. \n\nSuggested Panelists:\n- Tareq Amin, HUMAIN \n- ⁠Tanuja Randery, AWS\n- ⁠Enterprise AI Customer (TBC)\n- Model Provider (TBC: Adobe/Cohere) This presentation is brought to you by HUMAIN, an AWS Partner.","startDateTime":"2026-12-03T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T21:20:00.000Z","endTime":"13:20","sessionTimeId":"1791998553038001IK7z","lastModified":"2026-11-06T01:41:08Z","speakers":[{"id":"1793196344747001Rslk_17746331reinvent2026","displayName":"Tareq Amin","name":"Tareq Amin","firstName":"Tareq","lastName":"Amin","company":""},{"id":"1729584435377001hNRk_17746331reinvent2026","displayName":"Tanuja Randery","name":"Tanuja Randery","firstName":"Tanuja","lastName":"Randery","company":"AWS"}],"venueRoomName":"Level 2 | Hall B | Expo | Global Impact Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Supply Chain"},{"id":"Services","displayName":"AWS Trainium"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Business Intelligence"},{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442272780001ci7K","hash":"1ecd8a60a702a78cca2d22809a94ec7c","shortId":"HMC207-S","title":"From Intent to Interconnection: Building Multicloud Networks in Minutes (sponsored by Equinix)","abstract":"Modern enterprises span clouds, AI providers, private infrastructure, partners, and sovereign environments, yet networking is still built one connection at a time. Equinix Fabric One introduces a new approach: declare the business outcome you need and let the platform automatically compose the secure, resilient, any-to-any network required to deliver it. In this live demo, see how Fabric One transforms multicloud networking into an intent-driven experience. Watch a simple declaration trigger automated routing, cloud peering, encryption, resiliency, and failover across multiple providers and destinations. See how Equinix enables organizations to move from “choose, design, configure, operate” to “declare, compose, deliver.” This presentation is brought to you by Equinix, an AWS Partner.","startDateTime":"2026-12-01T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-12-01T23:30:00.000Z","endDateTime":"2026-12-01T23:50:00.000Z","endTime":"15:50","sessionTimeId":"1790033121983001q1L7","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1790715963628001Chji_17746331reinvent2026","displayName":"Ben Thomas","name":"Ben Thomas","firstName":"Ben","lastName":"Thomas","company":"Equinix"}],"venueRoomName":"Level 2 | Hall B | Expo | Industry Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"AWS Direct Connect"},{"id":"Services","displayName":"AWS Interconnect"}],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"},{"id":"Topic","displayName":"Networking & Content Delivery"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Edge Computing"},{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"Generative AI"}],"industry":[],"role":[{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442266204001cxZ0","hash":"a01028bf424b93bfa149e07df1faeba4","shortId":"MAM335-S","title":"From Legacy to Agentic: Modernization Beyond the Code (sponsored by SoftServe)","abstract":"What if modernization started beyond the code? SoftServe is reimagining application modernization by working backwards from business needs and desired outcomes to determine what should change and why. In this session, see how SoftServe Agentic Application Modernization combines this outcome-driven approach with CAST Software, AWS Transform, Kiro, AI-DLC and specialized AI agents to accelerate discovery, assessment, transformation, and validation. Learn how SoftServe provides the AI foundation to orchestrate and govern these agents, turning modernization into an intelligent, repeatable journey that enables AI for organizations, connects business intent with technology decisions and execution on AWS. This presentation is brought to you by SoftServe, an AWS Partner.","startDateTime":"2026-12-02T20:30:00.000Z","startTime":"12:30","startTimeFormatted":"2026-12-02T20:30:00.000Z","endDateTime":"2026-12-02T20:50:00.000Z","endTime":"12:50","sessionTimeId":"1790033118631001qLM0","lastModified":"2026-11-03T22:08:29Z","speakers":[{"id":"1719858599738001HHwl_17746331reinvent2026","displayName":"Ruslan Kusov","name":"Ruslan Kusov","firstName":"Ruslan","lastName":"Kusov","company":"SoftServe"}],"venueRoomName":"Level 2 | Hall B | Expo | Global Impact Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Transform"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780441480128001G45f","hash":"f6311075da53046352581040bd44a706","shortId":"PEX308","title":"From Manual to Autonomous: Agentic AWS Partner Growth via Quick & MCP","abstract":"Expertise locked in SMEs doesn't scale, and manual partner operations are expensive. The answer is architectural. Amazon Quick, Partner Central MCP Server, and Marketplace AI experiences cut three costs. Cost of sales: AI Listing Experiences, prospecting and co-sell PC agents, demand generation, Funding Agents, and Express Private Offers. Cost of customer operations: Tools to manage customers at scale, auto-renewals, adoption-nudging and reporting agents. Cost of partnerships: automated AWS Specializations, onboarding and journey agents, and Partner revenue telemetry. We cover real-time SME guidance, MCP integration, and orchestration across Partner Central and Marketplace. Leave ready to build your own workflows at scale.","startDateTime":"2026-12-02T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-02T19:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025518281001CGr8","lastModified":"2026-11-06T01:28:59Z","speakers":[{"id":"1789498182188001Tw8o_17746331reinvent2026","displayName":"Musa Musayev","name":"Musa Musayev","firstName":"Musa","lastName":"Musayev","company":"CrowdStrike"},{"id":"1730233505773001OsgQ_17746331reinvent2026","displayName":"Abhisheikh Lahoti","name":"Abhisheikh Lahoti","firstName":"Abhisheikh","lastName":"Lahoti","company":"Amazon Web Services"},{"id":"1737675912448001LKIQ_17746331reinvent2026","displayName":"Jing Ning","name":"Jing Ning","firstName":"Jing","lastName":"Ning","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780442230646001cxw4","hash":"8e0caa6178c51e4ad4d84592eba52cb5","shortId":"SEC343","title":"From MCP poisoning to defense: securing the agent tool supply chain","abstract":"MCP is becoming the standard for connecting AI agents to tools, but MCP servers are packages that present supply chain risk. In this builders session, you will observe a live MCP tool poisoning attack, then build three defense layers hands-on: gateway validation with Amazon Bedrock AgentCore Policy to restrict tool actions, a pre-deployment integrity scanner that detects silent tool definition changes, and runtime monitoring that flags anomalous tool behavior. Leave with a working understanding of how MCP supply chain attacks work and how to defend against them.","startDateTime":"2026-12-03T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-03T20:00:00.000Z","endDateTime":"2026-12-03T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025541754001CSCr","lastModified":"2026-11-06T14:39:07Z","speakers":[{"id":"1749124971994001k0k3_17746331reinvent2026","displayName":"Trevor Schiavone","name":"Trevor Schiavone","firstName":"Trevor","lastName":"Schiavone","company":"Amazon Web Services (AWS)"},{"id":"1767769952645001Woyn_17746331reinvent2026","displayName":"Markus Rollwagen","name":"Markus Rollwagen","firstName":"Markus","lastName":"Rollwagen","company":"AWS"},{"id":"1736521199971001AbfX_17746331reinvent2026","displayName":"Abdu Mahmoudi","name":"Abdu Mahmoudi","firstName":"Abdu","lastName":"Mahmoudi","company":"Amazon Web Services"},{"id":"1737972475195001sbDD_17746331reinvent2026","displayName":"Joe Rudd","name":"Joe Rudd","firstName":"Joe","lastName":"Rudd","company":"AWS"},{"id":"1732698435365001tIU0_17746331reinvent2026","displayName":"Desiree Brunner","name":"Desiree Brunner","firstName":"Desiree","lastName":"Brunner","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1786342064400001PiN0","hash":"a23939eba54f8cf511645c49297f226e","shortId":"MAM344","title":"From migration to continuous modernization: reduce tech debt at scale","abstract":"Learn how agentic AI is transforming enterprise modernization from one-off projects into an always-on practice. In this session, we explore how organizations are accelerating cloud migration, modernizing mainframe, Windows, and custom applications, and continuously reducing tech debt across their entire portfolio, evolving their pipelines from CI/CD to CI/CD/CM (continuous modernization). See how teams are compressing modernization timelines from years to months while keeping codebases current and AI-ready. Hear from product leader Neha Goswami on the latest innovations and what's ahead.","startDateTime":"2026-12-03T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-03T17:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025517405001CVRw","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408298268001uklR_17746331reinvent2026","displayName":"Everett Dolgner","name":"Everett Dolgner","firstName":"Everett","lastName":"Dolgner","company":"AWS"},{"id":"1727469605896001DQdW_17746331reinvent2026","displayName":"Neha Goswami","name":"Neha Goswami","firstName":"Neha","lastName":"Goswami","company":"Neha"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Transform"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":212},{"id":"1780441476989001GFyE","hash":"65059cd511d93f963c8759a8bedfadc3","shortId":"IND392","title":"From Millions of Gamers to AI at Scale: Roblox's Hybrid AWS Architecture Unleashed","abstract":"\"Auto-scaling was only the beginning. At Roblox, scaling means continuously adapting to changing capacity, hardware availability, GPU constraints, and unpredictable global demand.\nJoin Roblox to learn how they combine AWS with on-premises infrastructure to dynamically place workloads across regions, architectures, and AI providers. Using EC2 Capacity Health Visualizer, hybrid scheduling, multi-region load balancing, self-hosted AI inference alongside Amazon Bedrock, and heterogeneous compute (x86, Graviton, Inferentia, Trainium, GPUs), you will learn how Roblox keeps gaming and AI services responsive under record-breaking load.\"","startDateTime":"2026-12-04T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-04T00:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025550596001CBTE","lastModified":"2026-11-06T01:28:59Z","speakers":[{"id":"1725416482571001pU4q_17746331reinvent2026","displayName":"Ivan Marcin","name":"Ivan Marcin","firstName":"Ivan","lastName":"Marcin","company":"Roblox Corporation"},{"id":"1792795460944001mkNK_17746331reinvent2026","displayName":"Ravi Kiran Chirravuri","name":"Ravi Kiran Chirravuri","firstName":"Ravi","lastName":"Kiran Chirravuri","company":"Roblox"},{"id":"1738106178902001QzpY_17746331reinvent2026","displayName":"Vandana Tewani","name":"Vandana Tewani","firstName":"Vandana","lastName":"Tewani","company":"AWS"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Red Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Elastic Transcoder"},{"id":"Services","displayName":"Amazon SageMaker"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Edge Computing"},{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Games"}],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780441485671001GhqH","hash":"dc3bf587e34ff183d23d4cd86b84382e","shortId":"AIM132-S","title":"From Observer to Builder: AI Observability at HubSpot (sponsored by Cribl)","abstract":"Go from observer to builder with Cribl and AWS. Keep tabs on your AI usage, spend, and sensitive-data risk all in one place. Hear how HubSpot is building apps to automate their team’s workflows and work smarter with AI. This presentation is brought to you by Cribl, an AWS Partner.","startDateTime":"2026-11-30T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-11-30T18:00:00.000Z","endDateTime":"2026-11-30T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025477944001COOH","lastModified":"2026-11-05T19:28:29Z","speakers":[{"id":"1789755145853001qtPQ_17746331reinvent2026","displayName":"Joshua Andre","name":"Joshua Andre","firstName":"Joshua","lastName":"Andre","company":"Hubspot"},{"id":"1789061616262001tky1_17746331reinvent2026","displayName":"Bill Emmett","name":"Bill Emmett","firstName":"Bill","lastName":"Emmett","company":"Cribl, Inc."}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":256},{"id":"1780441491423001G1ho","hash":"1bac0d269046230b1e66d1380b3825cf","shortId":"TNC217","title":"From our Agents to yours: Build, Optimize and Certify ","abstract":"AWS builds its certification exams, from foundational cloud to agentic AI, using production AI agents on Amazon Bedrock AgentCore. In this session, we show how we built our reasoning agents with AWS Well-Architected practices to solve real operational challenges: climbing latency, spiraling token costs, and non-deterministic failures. You’ll leave with concrete patterns to apply on AWS, plus a clear path to validate those skills through AWS Certification","startDateTime":"2026-12-03T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025536109001CrPH","lastModified":"2026-10-30T22:01:11Z","speakers":[{"id":"1725919913096001ZLsy_17746331reinvent2026","displayName":"Ivan Kopas","name":"Ivan Kopas","firstName":"Ivan","lastName":"Kopas","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Workforce Development"},{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780441466368001Gh3y","hash":"e8c001ed64d458f4a376cd485675eee2","shortId":"BIZ215","title":"From Pilot to Enterprise Scale with Amazon Quick","abstract":"EchoStar evaluated 11 AI assistants before selecting Amazon Quick, which was then deployed to 8,000 employees with training and pre-populated skills. Next in EchoStar’s plans are integrating Quick with a third party gateways for observability and governance. Come and hear how this was done, uptake and innovations improving the efficiency of employees and teams. Discover some of the challenges integrating into existing enterprise systems, the continued activities needed to keep advancing high value usage and what are the appropriate metrics to track. Walk away with a repeatable framework for taking Amazon Quick from pilot to production and enterprise efficiency.","startDateTime":"2026-12-04T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-04T00:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025550222001CxFr","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1736355802986001r6PU_17746331reinvent2026","displayName":"Gayatri Ohri","name":"Gayatri Ohri","firstName":"Gayatri","lastName":"Ohri","company":"AWS"},{"id":"1725566511004001S0pB_17746331reinvent2026","displayName":"Rekha Seshadrinathan","name":"Rekha Seshadrinathan","firstName":"Rekha","lastName":"Seshadrinathan","company":"Amazon AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":278},{"id":"1780442237069001cIYq","hash":"cb180842f66efa58284b4055bc45b5ce","shortId":"COP313-R","title":"From pod to multi-region: Resilient workloads on Amazon EKS","abstract":"Building resilient workloads on Amazon EKS requires thinking in layers, from pod-level reliability to multi-region failover. In this chalk talk, explore each layer: Pod Disruption Budgets and Topology Spread Constraints, Karpenter and EKS Auto Mode for fast node recovery, EFS vs EBS for stateful workloads, AWS Backup for cross-region protection, and Route 53 with ARC for region switching. Debate active-active vs active-passive tradeoffs and validate RTO/RPO targets with Resilience Hub.","startDateTime":"2026-11-30T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-11-30T21:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025488194001CcmX","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1767963186201001c3U3_17746331reinvent2026","displayName":"Ioannis Lioupras","name":"Ioannis Lioupras","firstName":"Ioannis","lastName":"Lioupras","company":"AWS"},{"id":"1740491609457001NSFs_17746331reinvent2026","displayName":"Jean-Francois Landreau","name":"Jean-Francois Landreau","firstName":"Jean-Francois","lastName":"Landreau","company":"AWS"}],"venueRoomName":"Level 1 | Forum 114","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"AWS Resilience Hub"},{"id":"Services","displayName":"Amazon Application Recovery Controller"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Disaster Response & Recovery"},{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Resilience"}],"industry":[],"role":[{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1790358225320001iosX","shortId":"COP313-R1","startDateTime":"2026-12-02T19:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","startTime":"11:30","endTime":"12:30","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358225320001iosX","hash":"d336010b1df94d2f119d4c08419f8a12","shortId":"COP313-R1","title":"From pod to multi-region: Resilient workloads on Amazon EKS","abstract":"Building resilient workloads on Amazon EKS requires thinking in layers, from pod-level reliability to multi-region failover. 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Debate active-active vs active-passive tradeoffs and validate RTO/RPO targets with Resilience Hub.","startDateTime":"2026-12-02T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-02T19:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790360389675001AknH","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1767963186201001c3U3_17746331reinvent2026","displayName":"Ioannis Lioupras","name":"Ioannis Lioupras","firstName":"Ioannis","lastName":"Lioupras","company":"AWS"},{"id":"1740491609457001NSFs_17746331reinvent2026","displayName":"Jean-Francois Landreau","name":"Jean-Francois Landreau","firstName":"Jean-Francois","lastName":"Landreau","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"AWS Resilience Hub"},{"id":"Services","displayName":"Amazon Application Recovery Controller"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Disaster Response & Recovery"},{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Resilience"}],"industry":[],"role":[{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":75,"repeats":[{"id":"1780442237069001cIYq","shortId":"COP313-R","startDateTime":"2026-11-30T21:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Monday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Forum 114"}]},{"id":"1780442271521001c8IQ","hash":"ee4bbe9ecacbf9d044f5e9de980cc773","shortId":"AIM271-S","title":"From Predictive Intelligence to Autonomous Operations: United + ZS (sponsored by ZS)","abstract":"See how United Airlines and ZS combine AI, machine learning and optimization to improve disruption management and enable smarter operational decisions.","startDateTime":"2026-12-01T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-01T23:20:00.000Z","endTime":"15:20","sessionTimeId":"1790033118118001q054","lastModified":"2026-11-04T14:48:17Z","speakers":[],"venueRoomName":"Level 2 | Hall B | Expo | Global Impact Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Customer Enablement"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Sales / Marketing"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442235592001cqa4","hash":"4ed148e74c98d7c5f1e570934652f3f4","shortId":"AIM429-R","title":"From prompts to loops: inference best practices for agents","abstract":"Every layer of an agent, from context and harness to planning loops, places additional demand on the inference engine. Each model turn created by planning, tool use, retrieval, reflection, or retry shapes cost, latency, and reliability. This chalk talk traces that evolution on Amazon Bedrock and shows the inference impact of each layer, with best practices to get them right: versioning prompts, grounding context, engineering a reliable harness, setting verifiable goal conditions, and designing loops that know when to stop. Leave knowing how each layer shapes cost, latency, and reliability.","startDateTime":"2026-11-30T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-11-30T22:30:00.000Z","endDateTime":"2026-11-30T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025490344001CjQE","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1758905076950001JEKO_17746331reinvent2026","displayName":"Nathan Jones","name":"Nathan Jones","firstName":"Nathan","lastName":"Jones","company":"Amazon Web Services"},{"id":"1725408442303001uX5P_17746331reinvent2026","displayName":"Aris Tsakpinis","name":"Aris Tsakpinis","firstName":"Aris","lastName":"Tsakpinis","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82,"repeats":[{"id":"1790358234001001ilr7","shortId":"AIM429-R1","startDateTime":"2026-12-03T00:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","startTime":"16:00","endTime":"17:00","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358234001001ilr7","hash":"f916b998e8fbe87e7a1a277605e4530e","shortId":"AIM429-R1","title":"From prompts to loops: inference best practices for agents","abstract":"Every layer of an agent, from context and harness to planning loops, places additional demand on the inference engine. Each model turn created by planning, tool use, retrieval, reflection, or retry shapes cost, latency, and reliability. This chalk talk traces that evolution on Amazon Bedrock and shows the inference impact of each layer, with best practices to get them right: versioning prompts, grounding context, engineering a reliable harness, setting verifiable goal conditions, and designing loops that know when to stop. Leave knowing how each layer shapes cost, latency, and reliability.","startDateTime":"2026-12-03T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-03T00:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790360389839001AtnH","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1758905076950001JEKO_17746331reinvent2026","displayName":"Nathan Jones","name":"Nathan Jones","firstName":"Nathan","lastName":"Jones","company":"Amazon Web Services"},{"id":"1725408442303001uX5P_17746331reinvent2026","displayName":"Aris Tsakpinis","name":"Aris Tsakpinis","firstName":"Aris","lastName":"Tsakpinis","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":75,"repeats":[{"id":"1780442235592001cqa4","shortId":"AIM429-R","startDateTime":"2026-11-30T22:30:00.000Z","endDateTime":"2026-11-30T23:30:00.000Z","startTime":"14:30","endTime":"15:30","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358250972001iB0f","hash":"97c014e1e9cb1beef205f603a39a7223","shortId":"ANT316-R1","title":"From prompt to pipeline: Agentic data engineering","abstract":"Data engineers spend weeks building pipelines describable in a single sentence. AI agents change this by autonomously discovering data, building transformations, and orchestrating workflows via natural language. Explore how the Model Context Protocol (MCP) gives agents standardized access to AWS analytics services. See a live demo of an agent composing across AWS Glue, Amazon Redshift, and MWAA Serverless to build a pipeline from a single prompt. Leave with patterns and tools to start building.","startDateTime":"2026-12-03T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790360363657001AFVF","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725566545070001Stot_17746331reinvent2026","displayName":"Kamen Sharlandjiev","name":"Kamen Sharlandjiev","firstName":"Kamen","lastName":"Sharlandjiev","company":"AWS"},{"id":"1757468182538001RVa5_17746331reinvent2026","displayName":"Matt Sampson","name":"Matt Sampson","firstName":"Matt","lastName":"Sampson","company":"AWS"}],"venueRoomName":"Level 1 | Academy 417","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Managed Workflows for Apache Airflow (Amazon MWAA)"},{"id":"Services","displayName":"AWS Glue"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1780441496541001GUuz","shortId":"ANT316-R","startDateTime":"2026-12-03T00:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","startTime":"16:00","endTime":"17:00","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780441496541001GUuz","hash":"6be63bf9edbef29089977ca53ba47f24","shortId":"ANT316-R","title":"From prompt to pipeline: Agentic data engineering","abstract":"Data engineers spend weeks building pipelines describable in a single sentence. AI agents change this by autonomously discovering data, building transformations, and orchestrating workflows via natural language. Explore how AWS SageMaker Data Agent gives engineers access to analytical tools and data allowing them to quickly create ETL Pipelines . See a live demo of an agent composing a pipeline from a single prompt. Leave with patterns and tools to start building.","startDateTime":"2026-12-03T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-03T00:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025526472001CovY","lastModified":"2026-11-05T18:02:40Z","speakers":[{"id":"1725566545070001Stot_17746331reinvent2026","displayName":"Kamen Sharlandjiev","name":"Kamen Sharlandjiev","firstName":"Kamen","lastName":"Sharlandjiev","company":"AWS"},{"id":"1757468182538001RVa5_17746331reinvent2026","displayName":"Matt Sampson","name":"Matt Sampson","firstName":"Matt","lastName":"Sampson","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Managed Workflows for Apache Airflow (Amazon MWAA)"},{"id":"Services","displayName":"AWS Glue"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82,"repeats":[{"id":"1790358250972001iB0f","shortId":"ANT316-R1","startDateTime":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","startTime":"11:30","endTime":"12:30","day":"Thursday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Academy 417"}]},{"id":"1780442222644001ceqg","hash":"0786c4dc54ca37607a9ad905c84ab6c7","shortId":"SEC425","title":"From proofs to production: Neurosymbolic AI and provable security","abstract":"AWS has spent a decade proving the correctness of critical infrastructure, from IAM policy evaluation to cryptographic implementations and network isolation. This session traces the evolution from early automated reasoning tools to today's neurosymbolic AI, where formal verification and large language models converge. We examine how mathematical proof engines like Lean, combined with reinforcement learning and agentic workflows, enable provable security guarantees at scale. Attendees will learn how specification-driven development, whole-service data flow analysis, and Bedrock Guardrails' automated reasoning checks are moving the industry beyond \"test and hope\" toward mathematically verified trust.","startDateTime":"2026-12-02T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-02T17:00:00.000Z","endDateTime":"2026-12-02T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025514824001C7bg","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726761811641001Ierw_17746331reinvent2026","displayName":"Byron Cook","name":"Byron Cook","firstName":"Byron","lastName":"Cook","company":"Amazon"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780442243769001c38h","hash":"ca5b88875af2fbd99785a6861f9f3752","shortId":"HMC316","title":"From prototype to production agents across clouds","abstract":"Most agent prototypes share the same shape. One loop, a long lived key on every tool, memory in a side table, the rules in the prompt, and a trace that ends at the model call. It works in a demo. Production readiness and portability across clouds come down to the same four decisions, identity, tool access, state, and governance. In this chalk talk we draw that prototype and rebuild it live into a production agent, one decision at a time, with the room voting at every fork, including how to split the agent, where rules live, how identity federates across providers, where memory has its home, and how one governance layer sees every hop. Then we add a new cloud provider to the drawing and show how little changes.","startDateTime":"2026-11-30T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-11-30T22:30:00.000Z","endDateTime":"2026-11-30T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025490862001CEMr","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1730323137972001Lr5F_17746331reinvent2026","displayName":"Shankar Ramachandran","name":"Shankar Ramachandran","firstName":"Shankar","lastName":"Ramachandran","company":"AWS"},{"id":"1756396906261001xYao_17746331reinvent2026","displayName":"Clark Richey","name":"Clark Richey","firstName":"Clark","lastName":"Richey","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock AgentCore"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Management & Governance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82},{"id":"1780442275740001cZAa","hash":"05ddd30141e9e86f3b7118fcf4c14fb8","shortId":"AIM434-R","title":"From raw data to custom model: Dataset prep with Amazon SageMaker AI","abstract":"Great models start with great data. In this hands-on workshop, use SageMaker AI Agent skills to profile, curate, and validate datasets for the full model customization lifecycle — no infrastructure to manage. Assess data completeness and distribution, apply auto-labeling at scale, run human-in-the-loop review for edge cases, and fix quality issues like deduplication and toxicity filtering. Generate synthetic data to fill coverage gaps, then prepare datasets for Supervised Fine-Tuning, Direct Preference Optimization, Reinforcement Learning with Verifiable Rewards, and RLAIF. Launch training, evaluate with LLM-as-a-Judge, and deploy. Walk away ready to go from raw data to custom model in hours. ","startDateTime":"2026-12-03T16:00:00.000Z","startTime":"08:00","startTimeFormatted":"2026-12-03T16:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025528909001CfbJ","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1736356922400001Wjuo_17746331reinvent2026","displayName":"Amin Dashti","name":"Amin Dashti","firstName":"Amin","lastName":"Dashti","company":"AWS"},{"id":"1727803061343001LjaP_17746331reinvent2026","displayName":"gzappia Zappia","name":"gzappia Zappia","firstName":"gzappia","lastName":"Zappia","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":112,"repeats":[{"id":"1790358238542001ipd6","shortId":"AIM434-R1","startDateTime":"2026-12-02T23:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","startTime":"15:30","endTime":"17:30","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358238542001ipd6","hash":"74cdcc9dbb2f3fb0ee892652b5b7cddb","shortId":"AIM434-R1","title":"From raw data to custom model: Dataset prep with Amazon SageMaker AI","abstract":"Great models start with great data. 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This lightning session explores how agentic AI is redefining SRE by enabling autonomous detection, decision-making, remediation, and continuous learning. It examines how observability can extend beyond infrastructure metrics to connect system health with customer experience and business outcomes. Attendees will learn how HCLTech and AWS are helping enterprises to create resilient, self-optimizing environments by converging AI, observability and operations. The speakers will highlight why autonomous resilience is becoming a competitive advantage and the practical steps organizations can take to progress toward Level 5 autonomous operations while retaining appropriate human oversight and governance.","startDateTime":"2026-12-03T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T21:20:00.000Z","endTime":"13:20","sessionTimeId":"1790033123130001qVfG","lastModified":"2026-11-03T22:08:29Z","speakers":[{"id":"1731434810116001l3Cv_17746331reinvent2026","displayName":"Ramesh Ramakrishnan","name":"Ramesh Ramakrishnan","firstName":"Ramesh","lastName":"Ramakrishnan","company":"Verizon"}],"venueRoomName":"Level 2 | Hall B | Expo | Industry Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Advisor / Consultant"},{"id":"Role","displayName":"Business Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1790358232292001iU51","hash":"8a5f12faca1049f68e967f85e0475e25","shortId":"BIZ320-R1","title":"From Reactive to Proactive: Omnichannel AI Outreach with Connect Customer","abstract":"Every organization is building AI agents for inbound, but who's automating outreach? In this workshop, you become a carrier responding to a device safety recall. Instead of posting a notice and waiting for calls, you build a system that identifies affected customers, prioritizes them by risk and value, and uses an AI agent to reach them before they ever pick up the phone. Walk away with a working proactive outreach engine and the architecture to deploy anticipatory engagement at scale.","startDateTime":"2026-12-01T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790360399740001ApIK","lastModified":"2026-11-03T08:55:01Z","speakers":[{"id":"1737654109931001FJSc_17746331reinvent2026","displayName":"Bernie Valderrama","name":"Bernie Valderrama","firstName":"Bernie","lastName":"Valderrama","company":"AWS"},{"id":"1725408462837001uk8m_17746331reinvent2026","displayName":"Jeremy Puent","name":"Jeremy Puent","firstName":"Jeremy","lastName":"Puent","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Connect"}],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":150,"repeats":[{"id":"1780442277051001cNyP","shortId":"BIZ320-R","startDateTime":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","startTime":"15:00","endTime":"17:00","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442277051001cNyP","hash":"1b06bed0744483f6364f974a43240ba4","shortId":"BIZ320-R","title":"From Reactive to Proactive: Omnichannel AI Outreach with Connect Customer","abstract":"Every organization is building AI agents for inbound, but who's automating outreach? In this workshop, you become a carrier responding to a device safety recall. Instead of posting a notice and waiting for calls, you build a system that identifies affected customers, prioritizes them by risk and value, and uses an AI agent to reach them before they ever pick up the phone. Walk away with a working proactive outreach engine and the architecture to deploy anticipatory engagement at scale.","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025548609001CCeD","lastModified":"2026-11-05T22:27:52Z","speakers":[{"id":"1737654109931001FJSc_17746331reinvent2026","displayName":"Bernie Valderrama","name":"Bernie Valderrama","firstName":"Bernie","lastName":"Valderrama","company":"AWS"},{"id":"1725408462837001uk8m_17746331reinvent2026","displayName":"Jeremy Puent","name":"Jeremy Puent","firstName":"Jeremy","lastName":"Puent","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Connect"}],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":85,"repeats":[{"id":"1790358232292001iU51","shortId":"BIZ320-R1","startDateTime":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","startTime":"15:00","endTime":"17:00","day":"Tuesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780441489698001GBDc","hash":"947e388002fde19928ff9e5ef7aeaa4a","shortId":"STG207-S","title":"From Risk Signal to Recovery: Building Agentic Resilience with MCP (sponsored by Commvault)","abstract":"AI agents are changing cloud operations from human-led workflows to machine-speed decisions and actions. But when agents can access, modify, and move critical data, resilience must become part of the operating model, not a recovery step. Join experts from Commvault, Wiz, and AWS to explore an architecture where MCP connects security context, data intelligence, and recovery capabilities. We'll demonstrate how security signals can guide protection and recovery decisions across Amazon S3 and other cloud services, turning risk insights into governed actions. Learn the guardrails, controls, and architectural patterns behind the workflow, and leave with practical insights for bringing these capabilities into your own cloud-native environments. This presentation is brought to you by Commvault, an AWS Partner.","startDateTime":"2026-12-01T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-01T00:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025499306001CN9p","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1755816916940001Oj3K_17746331reinvent2026","displayName":"Akshay Joshi","name":"Akshay Joshi","firstName":"Akshay","lastName":"Joshi","company":"Commvault Systems Inc."},{"id":"1729285041794001JpYb_17746331reinvent2026","displayName":"Lawrence Chang","name":"Lawrence Chang","firstName":"Lawrence","lastName":"Chang","company":"Commvault Systems Inc."}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon DynamoDB"},{"id":"Services","displayName":"Amazon Relational Database Service (Amazon RDS)"},{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Data Protection"},{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Resilience"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":256},{"id":"1780442231200001cNI4","hash":"283ba7075dd367eb336c275afb066b41","shortId":"SEC415","title":"From rules to reasoning: Build an intelligent tagging compliance agent with AgentCore","abstract":"AWS Config rules detect missing tags, but what about resources where the correct tag value isn't obvious? In this builder session, you'll create an AI agent using AgentCore that goes beyond detection to intelligent remediation. Your agent analyzes resource context, account ownership, VPC placement, creator identity, naming patterns to infer correct tag values, and handles ambiguous cases by requesting human input. Start where Config rules end: not just \"is it tagged?\" but \"what should the tag be?\"","startDateTime":"2026-12-03T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-03T17:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025534200001CfuI","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1727476683360001ofkP_17746331reinvent2026","displayName":"Avi Harari","name":"Avi Harari","firstName":"Avi","lastName":"Harari","company":"AWS"},{"id":"1745435826368001otvu_17746331reinvent2026","displayName":"Gautam Bhaghavatula","name":"Gautam Bhaghavatula","firstName":"Gautam","lastName":"Bhaghavatula","company":"Amazon Web Services"},{"id":"1787937048302001GhGl_17746331reinvent2026","displayName":"Francesco Provino","name":"Francesco Provino","firstName":"Francesco","lastName":"Provino","company":"AWS"},{"id":"1786695120222001aIaO_17746331reinvent2026","displayName":"Nour Shlian","name":"Nour Shlian","firstName":"Nour","lastName":"Shlian","company":"Amazon"},{"id":"1734715138556001qduF_17746331reinvent2026","displayName":"Ibrahim Cesar","name":"Ibrahim Cesar","firstName":"Ibrahim","lastName":"Cesar","company":"Amazon Web Services (AWS)"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Config"},{"id":"Services","displayName":"AWS Resource Explorer"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780442246785001czkx","hash":"3fcbd5bf37f0d65e97561e51dae11926","shortId":"MAM301","title":"From SAP to Agentic AI: Building a unified data strategy on AWS","abstract":"This chalk talk presents a unified architecture spanning SAP Business Data Cloud, Databricks, Snowflake, and AWS-native services. Learn how AWS enables progressive modernization from zero-copy federation via BDC Connect, to Iceberg-based lakehouse architectures, to AI-powered analytics with Amazon Bedrock, SageMaker, and QuickSight. We introduce the AWS for SAP MCP Server, accessing OData services as AI-ready tools via Model Context Protocol. Live demos showcase AI agents resolving supply chain exceptions, generating Customer 360 insights, and accelerating BW modernization.","startDateTime":"2026-12-01T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-01T00:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025498581001CcxF","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408360993001uKNL_17746331reinvent2026","displayName":"Abhijeet Jangam","name":"Abhijeet Jangam","firstName":"Abhijeet","lastName":"Jangam","company":"AWS"},{"id":"1725408362152001us57_17746331reinvent2026","displayName":"Diego Lombardini","name":"Diego Lombardini","firstName":"Diego","lastName":"Lombardini","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon SageMaker AI"}],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"SAP"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70},{"id":"1780441496658001GLWR","hash":"bc4f044de911aaa3fa4fb8e6c0fa8618","shortId":"ANT409","title":"From self-managed to AWS managed: agentic AI for Kafka and MQ migrations","abstract":"\nMigrating self-managed Apache Kafka and RabbitMQ to Amazon MSK and  Amazon MQ is hard. Topic mapping, offset translation, ACL migration, and the  notoriously long cutover phase slow teams down for weeks. In this chalk talk,  we walk through these challenges and show how agentic AI paired with AWS  replication tooling compresses the longest migration phase from days to  minutes. Watch a complete live migration executed end-to-end in under 60  minutes and leave with a repeatable playbook for your own migration.","startDateTime":"2026-12-03T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025529469001CTWm","lastModified":"2026-11-05T05:14:33Z","speakers":[{"id":"1725566548826001S5UU_17746331reinvent2026","displayName":"Mazrim Mehrtens","name":"Mazrim Mehrtens","firstName":"Mazrim","lastName":"Mehrtens","company":"AWS"},{"id":"1758183616991001O4is_17746331reinvent2026","displayName":"Vignesh Selvam","name":"Vignesh Selvam","firstName":"Vignesh","lastName":"Selvam","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Managed Streaming for Apache Kafka (Amazon MSK)"},{"id":"Services","displayName":"Amazon MQ"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":94},{"id":"1780441479618001GHUZ","hash":"808c24b3f7abcce32dfa20e7a1412487","shortId":"NET331","title":"From shopping agents to shoppers: Amazon CloudFront patterns for peak retail","abstract":"Peak retail traffic is no longer just more shoppers. AI shopping agents, scrapers, and personalized experiences now collide on the same edge. In this session, learn advanced Amazon CloudFront patterns to handle all three. See how to classify and verify agentic traffic using CloudFront Functions, Amazon CloudFront KeyValueStore, and AWS WAF Bot Control, then serve tiered responses without touching origin. Hear how you can serve AI-powered personalization on every page in about a millisecond by encoding decision-tree models in KeyValueStore, fed by an Amazon Bedrock pipeline. Discover battle-tested patterns for your next cyber week.","startDateTime":"2026-12-02T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-02T17:00:00.000Z","endDateTime":"2026-12-02T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025514617001C2aY","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408459528001uMDW_17746331reinvent2026","displayName":"Sagar Desarda","name":"Sagar Desarda","firstName":"Sagar","lastName":"Desarda","company":"AWS"},{"id":"1787636739812001rF5w_17746331reinvent2026","displayName":"Andrew Templeton","name":"Andrew Templeton","firstName":"Andrew","lastName":"Templeton","company":"CSC Generation"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon CloudFront"},{"id":"Services","displayName":"AWS WAF"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Networking & Content Delivery"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Edge Computing"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780442390285001Nizk","hash":"ad1bd85e262a78571070f5484387c3c5","shortId":"SEC229-S","title":"From Signals to Action for SDG&E and SoCalGas: AI-Powered Cybersecurity on AWS","abstract":"AI is reshaping cybersecurity, but security teams must act faster without adding complexity. San Diego Gas & Electric (SDG&E) and Southern California Gas Company (SoCalGas), AWS, and Accenture deployed Accenture Cyber.AI on AWS to create a unified view of cyber risk and identify the highest-priority actions across the enterprise. Learn how the team integrated existing security investments, addressed governance and architecture requirements, and operationalized AI-driven risk management. Speakers will share key design decisions, implementation lessons, and practical guidance for using AI to improve cyber resilience, strengthen security operations, and maintain control of data and infrastructure in cloud environments. This presentation is brought to you by Accenture, an AWS Partner.","startDateTime":"2026-12-03T19:00:00.000Z","startTime":"11:00","startTimeFormatted":"2026-12-03T19:00:00.000Z","endDateTime":"2026-12-03T19:20:00.000Z","endTime":"11:20","sessionTimeId":"1790033111342001qpZs","lastModified":"2026-11-05T22:23:02Z","speakers":[{"id":"1749484362996001mcvw_17746331reinvent2026","displayName":"JONATHAN HOLT","name":"JONATHAN HOLT","firstName":"JONATHAN","lastName":"HOLT","company":"Accenture"},{"id":"1718822026392001zeRN_17746331reinvent2026","displayName":"Ben Gordon","name":"Ben Gordon","firstName":"Ben","lastName":"Gordon","company":"Sempra"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Data Protection"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1780441481295001Gh4c","hash":"c505529f9c324f8adf31e0aea94b10fd","shortId":"SEC359","title":"From static to dynamic - modernizing bidirectional federation","abstract":"Static credentials remain the most common source of identity-related security incidents, yet many workloads still rely on them across trust boundaries. AWS now eliminates them in both directions. Humans and workloads outside AWS can use OIDC, SAML, or X.509 certificates to federate in and obtain temporary AWS credentials. Conversely, IAM outbound identity federation lets AWS workloads exchange IAM identities for short-lived JWTs when calling external clouds like Azure and Google Cloud, AI providers like OpenAI or Anthropic, SaaS platforms like Databricks and Snowflake, and your own applications. This session covers how to configure trust, scope credentials, and enforce authorization controls.","startDateTime":"2026-12-03T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-03T17:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025533992001Cdhg","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1758922178684001fLGK_17746331reinvent2026","displayName":"Ram Maharajapuram","name":"Ram Maharajapuram","firstName":"Ram","lastName":"Maharajapuram","company":"Amazon Web Services"},{"id":"1725408479550001uwFh_17746331reinvent2026","displayName":"Mohamed Keshk","name":"Mohamed Keshk","firstName":"Mohamed","lastName":"Keshk","company":"Amazon (AWS)"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"},{"id":"Services","displayName":"AWS Security Token Service (AWS STS)"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Well-Architected Framework"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780442244582001ctiG","hash":"375fb4c43e237e35537239d815f85033","shortId":"IND356-R","title":"From static to self-improving agents with Amazon Bedrock AgentCore","abstract":"AI agents that learn from every production cycle deliver better outcomes without retraining or manual prompt tuning. In this chalk talk, we'll explore how Amazon Bedrock AgentCore Evaluations scores live agent behavior across multiple quality dimensions and how the optimization capability discovers better system prompts and tool configurations from production traces. Learn how the agent improves continuously from production results, expert corrections, and revised context your team contributes. We'll demonstrate the full observe-evaluate-improve cycle with an underwriting agent on Amazon Bedrock AgentCore and the Strands Agents Framework, then discuss how the pattern applies to claims, fraud, and customer service agents.","startDateTime":"2026-12-03T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025530787001CSZF","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1730127637425001ateX_17746331reinvent2026","displayName":"Sid Singh","name":"Sid Singh","firstName":"Sid","lastName":"Singh","company":"AWS"},{"id":"1727384299966001t7F1_17746331reinvent2026","displayName":"Philipp Klose","name":"Philipp Klose","firstName":"Philipp","lastName":"Klose","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon API Gateway"},{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Step Functions"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1790358252462001iyni","shortId":"IND356-R1","startDateTime":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","startTime":"16:00","endTime":"17:00","day":"Monday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358252462001iyni","hash":"79e91f6f7fc75f994ff11a88e1217fac","shortId":"IND356-R1","title":"From static to self-improving agents with Amazon Bedrock AgentCore","abstract":"AI agents that learn from every production cycle deliver better outcomes without retraining or manual prompt tuning. In this chalk talk, we'll explore how Amazon Bedrock AgentCore Evaluations scores live agent behavior across multiple quality dimensions and how the optimization capability discovers better system prompts and tool configurations from production traces. Learn how the agent improves continuously from production results, expert corrections, and revised context your team contributes. We'll demonstrate the full observe-evaluate-improve cycle with an underwriting agent on Amazon Bedrock AgentCore and the Strands Agents Framework, then discuss how the pattern applies to claims, fraud, and customer service agents.","startDateTime":"2026-12-01T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790360392664001AyQv","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1730127637425001ateX_17746331reinvent2026","displayName":"Sid Singh","name":"Sid Singh","firstName":"Sid","lastName":"Singh","company":"AWS"},{"id":"1727384299966001t7F1_17746331reinvent2026","displayName":"Philipp Klose","name":"Philipp Klose","firstName":"Philipp","lastName":"Klose","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon API Gateway"},{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Step Functions"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1780442244582001ctiG","shortId":"IND356-R","startDateTime":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T17:30:00.000Z","startTime":"08:30","endTime":"09:30","day":"Thursday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780441463316001GTo6","hash":"b5765a745709fd6b987bfa7de1cbcf3f","shortId":"ARC316","title":"From system thinking to outcome thinking: The AI-native architect","abstract":"The architect role is changing faster than at any point since the cloud itself emerged. AI is reshaping not just what architects build, but how they think, where they spend their time, and what organizations expect. We share observations from leading a global transformation of thousands of AWS Solutions Architects into AI-native practitioners: what shifted in daily practice, what surprised us, and what broke. We explore how outcome-oriented thinking replaces system-oriented thinking, and why the line between building and advising is dissolving. 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A small cohort works differently: they treat agents as autonomous workers they direct and validate, and the results are a step function in productivity improvements, not an increment. In this session, we break down what these power users do differently, share success stories, where experts still find friction, and the bottlenecks coming next. 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Using Amazon Inspector and AWS Continuum (formerly AWS Security Agent), you discover and validate existing flaws, reproduce the exploit chain, and push Continuum-generated fixes through CI/CD. When Amazon GuardDuty detects the active exploitation, including credential theft and prompt injection against an AI assistant, you isolate the compromised instance and harden it. 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In this session, HUB International will share their experiences.​\n\nAgents are becoming core infrastructure, executing actions across interconnected systems at machine speed. Yet most organizations can't recover agent memory, credentials, or configurations any better than they could recover a corrupted server a decade ago. Join us to see how Cohesity's resilience platform extends AWS-native protections to agents and infrastructure alike, so risk doesn't outrun your ability to recover. 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Developers provision, deploy, and scale through self-service interfaces without needing Kubernetes expertise, while platform teams reclaim the cycles once spent on cluster operations and lifecycle management. That is the standard now that Amazon EKS is engineered to deliver. 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Productivity tools promise to help, but most add complexity instead of removing it. In this fireside chat, hear from customers who faced that exact challenge and deployed an AI work companion across 20,000+ users in under 90 days. Learn what convinced their leadership to invest, how they integrated AI into daily workflows without disrupting existing tools, and what the first 90 days of adoption actually looked like. 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The Business Value Realization (BVR) motion is how consulting and managed services partners are building their next growth engine: documenting outcomes, unlocking milestone-based funding, and turning deployments into expansion revenue. Explore how BVR helps partners quantify ROI, earn a new Competency, build customer success practices that drive revenue beyond go-live, and where the motion is heading next. As AI moves from pilot to production, the partners who own the value conversation won't just retain customers, they'll shape what is built next.","startDateTime":"2026-12-01T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-01T19:30:00.000Z","endDateTime":"2026-12-01T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025513150001ChLa","lastModified":"2026-11-03T22:06:21Z","speakers":[{"id":"1726581945904001vfJa_17746331reinvent2026","displayName":"Karen Hildebrand","name":"Karen Hildebrand","firstName":"Karen","lastName":"Hildebrand","company":"AWS"},{"id":"1770348013077001pTdh_17746331reinvent2026","displayName":"Peter Gratzke","name":"Peter Gratzke","firstName":"Peter","lastName":"Gratzke","company":"Amazon Web Services"},{"id":"1738012692825001BRCo_17746331reinvent2026","displayName":"Bhargs Srivathsan","name":"Bhargs Srivathsan","firstName":"Bhargs","lastName":"Srivathsan","company":"Amazon"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Customer Enablement"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Sales / Marketing"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780442265628001cVxN","hash":"f9223e375aee3ac88c777a0b0201ff32","shortId":"SEC340","title":"Good fences make good neighbors: a network perimeter approach to data perimeters","abstract":"How do you secure that which has no network? AWS services such as S3, SQS, and DynamoDB help teams build and scale faster but come with a different set of security implications than services that live in your VPC. In this session, you'll learn about best practices and architectural patterns for building secure networks on AWS using network features like DNS firewall, and Network firewall and layering them with AWS IAM policies like VPC endpoint policy, and Resource Control Policy to help ensure that your resources that live outside of your network behave like they are in your network.","startDateTime":"2026-12-03T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-12-03T23:30:00.000Z","endDateTime":"2026-12-03T23:50:00.000Z","endTime":"15:50","sessionTimeId":"1790033111786001qzkC","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408480231001uqMV_17746331reinvent2026","displayName":"Swara Gandhi","name":"Swara Gandhi","firstName":"Swara","lastName":"Gandhi","company":"Amazon Web Services"},{"id":"1727478918123001ShUe_17746331reinvent2026","displayName":"Jesse Lepich","name":"Jesse Lepich","firstName":"Jesse","lastName":"Lepich","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Virtual Private Cloud (Amazon VPC)"},{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1790358249228001iTS3","hash":"9ae3ebab23fa6bbd4b4dba59505c2d74","shortId":"IND352-R1","title":"Gotta detect 'em all: finding rogue devices with Amazon Bedrock","abstract":"Participants build and command autonomous drone fleets to identify rogue devices using Amazon Bedrock AgentCore, Amazon Bedrock Knowledge Bases, AWS IoT Greengrass, and Strands Agents. 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This gamified scenario showcases a Human-Machine Teaming architecture in which AI operates autonomously within defined trust boundaries, with human-in-the-loop escalation at configurable confidence thresholds.","startDateTime":"2026-11-30T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-11-30T19:30:00.000Z","endDateTime":"2026-11-30T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025481240001CKI2","lastModified":"2026-11-01T04:53:42Z","speakers":[{"id":"1736356324357001tfVo_17746331reinvent2026","displayName":"Jenifer Wang","name":"Jenifer Wang","firstName":"Jenifer","lastName":"Wang","company":"Amazon Web Services"},{"id":"1737654849837001p5mE_17746331reinvent2026","displayName":"Reshad Habibzai","name":"Reshad Habibzai","firstName":"Reshad","lastName":"Habibzai","company":"AWS"},{"id":"1726012413367001gdYi_17746331reinvent2026","displayName":"Anthony Castaneda","name":"Anthony Castaneda","firstName":"Anthony","lastName":"Castaneda","company":"Amazon"},{"id":"1740494955378001Mi30_17746331reinvent2026","displayName":"Insoo Jang","name":"Insoo Jang","firstName":"Insoo","lastName":"Jang","company":"Amazon Web Services"},{"id":"1770343012333001kH3o_17746331reinvent2026","displayName":"Collin Chew","name":"Collin Chew","firstName":"Collin","lastName":"Chew","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon SageMaker"},{"id":"Services","displayName":"AWS IoT Greengrass"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Tech for Impact"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Government"}],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"Tech Explorer"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1790358249228001iTS3","shortId":"IND352-R1","startDateTime":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T21:00:00.000Z","startTime":"12:00","endTime":"13:00","day":"Tuesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442222121001c2uu","hash":"f1ff8619f88aa33b2a5600ab3fe448f7","shortId":"SEC302","title":"Governance foundations for AI workloads that grow into autonomous agents","abstract":"Agentic workloads are reaching production, and governance has to keep up without slowing teams down. This session shows how to build a governance foundation for AI with AWS Control Tower, AWS Config, AWS Organizations, and automatic evidence collection, then extend it to autonomous agents. You apply preventive and detective controls to Amazon Bedrock and Amazon SageMaker, automate compliance evidence, and map controls to frameworks such as ISO 42001. The same controls hold whether the workload is a single model call or a fleet of agents acting on their own.","startDateTime":"2026-11-30T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-11-30T18:00:00.000Z","endDateTime":"2026-11-30T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025477809001Cayu","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408391235001uw7A_17746331reinvent2026","displayName":"Rodolfo Brenes","name":"Rodolfo Brenes","firstName":"Rodolfo","lastName":"Brenes","company":"Amazon Web Services"},{"id":"1725408390603001ufyH_17746331reinvent2026","displayName":"Nivas Durairaj","name":"Nivas Durairaj","firstName":"Nivas","lastName":"Durairaj","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Config"},{"id":"Services","displayName":"AWS Organizations"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Responsible AI"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Advisor / Consultant"},{"id":"Role","displayName":"Business Executive"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780442236771001cB9S","hash":"a09d30c6c1a99978f9fc172b1180f8f2","shortId":"MAM343","title":"Govern and optimize AI agents for desktop work on WorkSpaces","abstract":"Your most valuable business processes often run inside desktop applications and mainframes that expose no APIs for AI agents to call. In this session, learn how to use Amazon WorkSpaces to give agents a governed desktop where they operate these applications directly, just as an employee would. In this chalk talk, we'll dig into scoping what agents are permitted to do, auditing agent actions, and configuring agent identity. We'll walk through strategies for agent optimization:  how to choose the right agent tools, select the right model for your workflow, and build reusable agent skills. Applied together, these techniques cut task time, lower cost, and increase the accuracy of your agent workflows.","startDateTime":"2026-11-30T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-11-30T19:30:00.000Z","endDateTime":"2026-11-30T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025480740001Ce7q","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1791217580411001t0rn_17746331reinvent2026","displayName":"Ed Mahlum","name":"Ed Mahlum","firstName":"Ed","lastName":"Mahlum","company":"AWS"},{"id":"1728334708127001wOtp_17746331reinvent2026","displayName":"Andrew Morgan","name":"Andrew Morgan","firstName":"Andrew","lastName":"Morgan","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon WorkSpaces"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70},{"id":"1780442248751001c237","hash":"78e6154d48bfacc980826b349977c7e9","shortId":"PEX303-R","title":"Govern, Bill, and Attribute: The Unit Economics of Production Agents","abstract":"Your agent demo costs $0.02 a call; in production it's $4. Can you still price it profitably, and can you capture the full AWS consumption it drives downstream? This chalk talk walks the complete unit economics of a production agent: right-sizing cost with prompt caching, model routing, and tool-call minimization; pricing through consumption versus outcome-based billing; and attributing the full impact through AWS Marketplace metering and PRM, so it converts into AWS investment back to you. Real examples like bid optimization, content moderation, and shopping advisors ground each step.","startDateTime":"2026-11-30T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-11-30T17:00:00.000Z","endDateTime":"2026-11-30T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025475529001Cp6f","lastModified":"2026-11-05T04:31:40Z","speakers":[{"id":"1756397097716001xxzf_17746331reinvent2026","displayName":"Daniele Stroppa","name":"Daniele Stroppa","firstName":"Daniele","lastName":"Stroppa","company":"Amazon Web Services"},{"id":"1726240564565001NV16_17746331reinvent2026","displayName":"Obaid Kazi","name":"Obaid Kazi","firstName":"Obaid","lastName":"Kazi","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"Tech Explorer"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1790358232666001iFKx","shortId":"PEX303-R1","startDateTime":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","startTime":"10:00","endTime":"11:00","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1790358232666001iFKx","hash":"177f53fd2784293dd9b510030ec0e9a5","shortId":"PEX303-R1","title":"Govern, Bill, and Attribute: The Unit Economics of Production Agents","abstract":"Your agent demo costs $0.02 a call; in production it's $4. Can you still price it profitably, and can you capture the full AWS consumption it drives downstream? This chalk talk walks the complete unit economics of a production agent: right-sizing cost with prompt caching, model routing, and tool-call minimization; pricing through consumption versus outcome-based billing; and attributing the full impact through AWS Marketplace metering and PRM, so it converts into AWS investment back to you. Real examples like bid optimization, content moderation, and shopping advisors ground each step.","startDateTime":"2026-12-02T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790360369942001A9Az","lastModified":"2026-11-05T18:42:54Z","speakers":[{"id":"1756397097716001xxzf_17746331reinvent2026","displayName":"Daniele Stroppa","name":"Daniele Stroppa","firstName":"Daniele","lastName":"Stroppa","company":"Amazon Web Services"},{"id":"1726240564565001NV16_17746331reinvent2026","displayName":"Obaid Kazi","name":"Obaid Kazi","firstName":"Obaid","lastName":"Kazi","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"Tech Explorer"}],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780442248751001c237","shortId":"PEX303-R","startDateTime":"2026-11-30T17:00:00.000Z","endDateTime":"2026-11-30T18:00:00.000Z","startTime":"09:00","endTime":"10:00","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780441461602001Ge7H","hash":"837e116378f9020648d994e8f86a6b2c","shortId":"ANT407","title":"Govern data and AI agents with lineage and context in AWS Glue Data Catalog","abstract":"AI agents generate SQL, surface insights, and take action on your data. Without governance guardrails, they hallucinate column meanings, query stale tables, and return wrong answers with high confidence. In this session, learn how to ground your AI agents in trusted metadata using AWS Glue Data Catalog. See how to flow business context like glossary terms, descriptions, and quality scores into agent workflows so they generate accurate, schema-aware queries instead of guessing. Walk away with practical patterns for governing AI-assisted analytics the same way you govern human analysts","startDateTime":"2026-11-30T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-11-30T22:30:00.000Z","endDateTime":"2026-11-30T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1791223677651001me1p","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725566541727001ShpQ_17746331reinvent2026","displayName":"Navneet Srivastava","name":"Navneet Srivastava","firstName":"Navneet","lastName":"Srivastava","company":"Amazon"},{"id":"1728601023172001yycr_17746331reinvent2026","displayName":"Jorge A Lopez","name":"Jorge A Lopez","firstName":"Jorge A","lastName":"Lopez","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"AWS Glue"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780442224485001ceAA","hash":"fe99ce5590b358027bc43732d66a32cf","shortId":"AIM348","title":"Governed ModelOps: From customization to deployment with SageMaker AI","abstract":"Join us in working through the ModelOps lifecycle, starting with experiment, train, register, approve, to deploy, anchored by the Amazon SageMaker catalog system of record. Using SageMaker managed MLflow and the catalog within SageMaker AI Studio, you'll build governance in as you go with no end-of-cycle compliance scramble. Training runs auto-catalog with model cards, lineage, and audit trails; you'll discover assets with semantic search, trace lineage with OpenLineage, configure access control, gate promotion on quality and compliance, and publish models across accounts. You'll leave able to trace any endpoint to its dataset, experiment, and approval in seconds.","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025501820001Cfh5","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726854539142001ojOX_17746331reinvent2026","displayName":"Siamak Nariman","name":"Siamak Nariman","firstName":"Siamak","lastName":"Nariman","company":"Amazon Web Services"},{"id":"1725566534103001S7Py_17746331reinvent2026","displayName":"Bobby Lindsey","name":"Bobby Lindsey","firstName":"Bobby","lastName":"Lindsey","company":"AWS"},{"id":"1758084676091001sQgr_17746331reinvent2026","displayName":"Sunita Koppar","name":"Sunita Koppar","firstName":"Sunita","lastName":"Koppar","company":"Amazon Web Services"},{"id":"1740560631730001PmQl_17746331reinvent2026","displayName":"Naresh Nagpal","name":"Naresh Nagpal","firstName":"Naresh","lastName":"Nagpal","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon SageMaker AI"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780441479778001GpML","hash":"f4fa8801b9d5d14c9cd025da86abd90a","shortId":"OPN301","title":"Governing AI assets at scale with MCP Gateway and Registry","abstract":"As enterprises onboard AI assets (MCP servers, Agents, Skills) they face a governance problem: no unified way to discover, authenticate, or observe them. MCP Gateway and Registry is an open source control plane with centralized registration, OAuth2 auth, semantic tool discovery, and end-to-end telemetry. Walk through the project's architecture, pluggable auth and storage backends, and deployment patterns on Amazon EKS. An AI/ML platform VP shares their production rollout, governance patterns that scaled across business units, and lessons learned contributing back upstream.","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025549223001CWTr","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1726617179685001idIi_17746331reinvent2026","displayName":"Amit Arora","name":"Amit Arora","firstName":"Amit","lastName":"Arora","company":"AWS"},{"id":"1755620167377001jLdT_17746331reinvent2026","displayName":"Sabeena Shafaq","name":"Sabeena Shafaq","firstName":"Sabeena","lastName":"Shafaq","company":"Expedia Group"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | White Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780442243877001csWs","hash":"01ed54dd20793d12f289256ad1fb5067","shortId":"HMC306-R","title":"Governing autonomous AI agents across cloud boundaries","abstract":"When autonomous agents coordinate across cloud boundaries, who enforces the rules — and how do you revoke access instantly when one goes rogue? In this chalk talk, we whiteboard governed multi-agent coordination: Cedar as a portable policy engine across AWS, Azure, and GCP, A2A protocol for cross-cloud agent communication, and a kill switch for instant revocation. The audience picks the scenario — flight delays, trade failures, or healthcare cancellations — and we draw how policy, identity, and coordination work at each boundary crossing. ","startDateTime":"2026-11-30T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-11-30T21:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025488849001CCXo","lastModified":"2026-11-02T16:21:27Z","speakers":[{"id":"1768986708443001avrk_17746331reinvent2026","displayName":"Arko Dutta","name":"Arko Dutta","firstName":"Arko","lastName":"Dutta","company":"AWS"},{"id":"1734018845261001rsI3_17746331reinvent2026","displayName":"Prema iyer","name":"Prema iyer","firstName":"Prema","lastName":"iyer","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":98,"repeats":[{"id":"1790358241743001iUzj","shortId":"HMC306-R1","startDateTime":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T21:00:00.000Z","startTime":"12:00","endTime":"13:00","day":"Tuesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358241743001iUzj","hash":"6490e9d2716772c5d947e54a2377fd2f","shortId":"HMC306-R1","title":"Governing autonomous AI agents across cloud boundaries","abstract":"When autonomous agents coordinate across cloud boundaries, who enforces the rules — and how do you revoke access instantly when one goes rogue? In this chalk talk, we whiteboard governed multi-agent coordination: Cedar as a portable policy engine across AWS, Azure, and GCP, A2A protocol for cross-cloud agent communication, and a kill switch for instant revocation. The audience picks the scenario — flight delays, trade failures, or healthcare cancellations — and we draw how policy, identity, and coordination work at each boundary crossing. ","startDateTime":"2026-12-01T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790360382799001Anpx","lastModified":"2026-11-04T22:12:22Z","speakers":[{"id":"1768986708443001avrk_17746331reinvent2026","displayName":"Arko Dutta","name":"Arko Dutta","firstName":"Arko","lastName":"Dutta","company":"AWS"},{"id":"1734018845261001rsI3_17746331reinvent2026","displayName":"Prema iyer","name":"Prema iyer","firstName":"Prema","lastName":"iyer","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1780442243877001csWs","shortId":"HMC306-R","startDateTime":"2026-11-30T21:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442257930001cFqN","hash":"43accb8e267d639669fe54c5e52b8e2a","shortId":"SEC372","title":"Governing hundreds of accounts in seconds: agentic AI meets Landing Zone operations","abstract":"When you manage hundreds of AWS accounts, governance can fall behind. Drift accumulates, controls take days to propagate, and problems go undetected until something breaks. We demonstrate Landing Zone Accelerator 2.0 with built-in AI that lets operators use natural language to apply organizational changes in minutes, if not seconds. We deploy org-wide security controls, provision accounts, and enforce encryption through a Bedrock-powered interface supporting CloudFormation and Terraform. An AI agent generates each change plan, and before anything is applied, an org-wide preview catches conflicts and policy violations. Issues are surfaced up front instead of discovered after a break. Attendees learn how we built LZA 2.0 with Kiro spec-driven development and Rust, and how to design pre-deployment previews that keep multi-account operations safe.","startDateTime":"2026-12-01T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-01T19:30:00.000Z","endDateTime":"2026-12-01T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790033113011001qrsx","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1737658416183001ZrMB_17746331reinvent2026","displayName":"Randy Domingo","name":"Randy Domingo","firstName":"Randy","lastName":"Domingo","company":"AWS"},{"id":"1756396956693001xbvi_17746331reinvent2026","displayName":"Bo Lechangeur","name":"Bo Lechangeur","firstName":"Bo","lastName":"Lechangeur","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS CloudFormation"},{"id":"Services","displayName":"AWS Control Tower"},{"id":"Services","displayName":"AWS Organizations"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":60},{"id":"1780442242816001ckuX","hash":"c6ae78d0cf9e8cb6a4645a43b0745bac","shortId":"AIM3324","title":"Govern your agent fleet, wherever it runs, with AgentCore and Strands","abstract":"Agents now ship from every team and account, often built by people who have never deployed software. Platform teams need to know which agents exist, what each one is allowed to do, and how to stop one the moment it misbehaves, without slowing builders down. In this chalk talk, we explore the latest AWS innovations in agent governance across AgentCore and Strands: finding agents across your organization, including ones nobody registered, turning plain-language rules into policies you can check before an agent runs, and containing agents in boundaries they cannot reason their way past. Bring your governance questions.","startDateTime":"2026-12-03T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-03T00:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1793734906737001A5e7","lastModified":"2026-11-06T15:53:49Z","speakers":[],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1790358255641001iKCA","hash":"39bedb0530b3308ae446ad93bbf25192","shortId":"ANT429-R1","title":"Govern your context layer for AI agents with AWS Context","abstract":"Learn how to carry your existing data permissions into a governed context layer your AI agents need to work accurately across structured and unstructured data. AWS Context assembles semantic data from your catalogs, glossaries, query logs, and access patterns into one governed context layer, honoring the governance contract placed on your data assets. Each user's identity flows through the agent so every answer is scoped to what they are authorized to see. We will whiteboard and interact on how identity propagates, how retrieval is filtered, and where permissions break.","startDateTime":"2026-12-02T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-02T20:00:00.000Z","endDateTime":"2026-12-02T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790360374878001Auzt","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1725408342131001u2DK_17746331reinvent2026","displayName":"Leonardo Gomez Virahonda","name":"Leonardo Gomez Virahonda","firstName":"Leonardo","lastName":"Gomez Virahonda","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"AWS Glue"},{"id":"Services","displayName":"AWS Context"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780442233006001ctvH","shortId":"ANT429-R","startDateTime":"2026-12-03T17:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","startTime":"09:00","endTime":"10:00","day":"Thursday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442233006001ctvH","hash":"0fbe136b333d56fbbafcec6a791344ca","shortId":"ANT429-R","title":"Govern your context layer for AI agents with AWS Context","abstract":"Learn how to carry your existing data permissions into a governed context layer your AI agents need to work accurately across structured and unstructured data. AWS Context assembles semantic data from your catalogs, glossaries, query logs, and access patterns into one governed context layer, honoring the governance contract placed on your data assets. Each user's identity flows through the agent so every answer is scoped to what they are authorized to see. We will whiteboard and interact on how identity propagates, how retrieval is filtered, and where permissions break.","startDateTime":"2026-12-03T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-03T17:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025532388001Cs1I","lastModified":"2026-11-06T12:24:45Z","speakers":[{"id":"1725408342131001u2DK_17746331reinvent2026","displayName":"Leonardo Gomez Virahonda","name":"Leonardo Gomez Virahonda","firstName":"Leonardo","lastName":"Gomez Virahonda","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"AWS Glue"},{"id":"Services","displayName":"AWS Context"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82,"repeats":[{"id":"1790358255641001iKCA","shortId":"ANT429-R1","startDateTime":"2026-12-02T20:00:00.000Z","endDateTime":"2026-12-02T21:00:00.000Z","startTime":"12:00","endTime":"13:00","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442224610001cWDT","hash":"7d3b318470b180b2a2420039a83e9a87","shortId":"AIM344","title":"GPU cluster failure patterns on AWS: observe, diagnose, recover","abstract":"At scale, GPU clusters fail in ways that single-node debugging does not reveal: NCCL timeouts that are actually storage problems, DataLoader forks that silently hang collectives, and GPUs that pass health checks yet corrupt results. In this hands-on builders session, diagnose these failures on NVIDIA GPU-based Amazon EC2 instances with Elastic Fabric Adapter. Read NCCL debug logs, interpret all-reduce bus bandwidth against per-instance baselines, and run open-source health checks that catch faults early. The session provides a failure-signature runbook and a triage method drawn from operating large GPU fleets on AWS.","startDateTime":"2026-11-30T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-11-30T21:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025485805001CldU","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1740075010732001TSU3_17746331reinvent2026","displayName":"Harish Rao","name":"Harish Rao","firstName":"Harish","lastName":"Rao","company":"Amazon"},{"id":"1771893351524001Hwc6_17746331reinvent2026","displayName":"SooJung Lee","name":"SooJung Lee","firstName":"SooJung","lastName":"Lee","company":"AWS"},{"id":"1725408493665001ukgZ_17746331reinvent2026","displayName":"Keita Watanabe","name":"Keita Watanabe","firstName":"Keita","lastName":"Watanabe","company":"Amazon Web Services"},{"id":"1740416421670001Lgep_17746331reinvent2026","displayName":"Natarajan Chennimalai Kumar","name":"Natarajan Chennimalai Kumar","firstName":"Natarajan","lastName":"Chennimalai Kumar","company":"AWS"},{"id":"1740322012284001qZhN_17746331reinvent2026","displayName":"Daisuke Miyamoto","name":"Daisuke Miyamoto","firstName":"Daisuke","lastName":"Miyamoto","company":"Amazon Web Services Japan"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Networking & Content Delivery"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"},{"id":"AreaofInterest","displayName":"Resilience"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780442256614001c2jD","hash":"231c1c0015389cf46c4a66ad5d9f8d38","shortId":"HMC401-R","title":"GPU orchestration using NVIDIA Run:ai across the edge","abstract":"AWS and NVIDIA have collaborated for over a decade to deliver GPU-accelerated solutions across the cloud and edge, yet Kubernetes still treats GPUs as opaque, unshareable integers. 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Then see how Run:ai orchestrates a QLoRA fine-tuning job on Qwen3-14B and serves the resulting adapter with vLLM so you can compare base model responses against your fine-tuned model in real time.","startDateTime":"2026-12-03T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-03T00:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025527007001C5Bv","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1726795858978001O5ej_17746331reinvent2026","displayName":"Siva Devabakthini","name":"Siva Devabakthini","firstName":"Siva","lastName":"Devabakthini","company":"Amazon Web Services Inc"},{"id":"1724790895210001hN4J_17746331reinvent2026","displayName":"Robert Belson","name":"Robert Belson","firstName":"Robert","lastName":"Belson","company":"Amazon Web Services"},{"id":"1725555761895001mHY4_17746331reinvent2026","displayName":"Alex Iankoulski","name":"Alex Iankoulski","firstName":"Alex","lastName":"Iankoulski","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"AWS Local Zones"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Edge Computing"},{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"Kubernetes"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":66,"repeats":[{"id":"1790358244153001idl1","shortId":"HMC401-R1","startDateTime":"2026-11-30T22:30:00.000Z","endDateTime":"2026-11-30T23:30:00.000Z","startTime":"14:30","endTime":"15:30","day":"Monday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358244153001idl1","hash":"fc2fa6f397770b5c1aabcec372def318","shortId":"HMC401-R1","title":"GPU orchestration using NVIDIA Run:ai across the edge","abstract":"AWS and NVIDIA have collaborated for over a decade to deliver GPU-accelerated solutions across the cloud and edge, yet Kubernetes still treats GPUs as opaque, unshareable integers. 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New Graviton5 instance families are purpose-built for each tier.","startDateTime":"2026-12-02T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-02T19:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790963622801001QAQw","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":256},{"id":"1780441468007001GVk9","hash":"58649c1becce4029e19c84227620bd80","shortId":"CMP307","title":"Graviton5: Migrate your workloads, cut costs, get better performance","abstract":"AWS Graviton5 delivers up to 25% better compute performance than the previous generation, features caches up to five times larger, and offers some of the fastest memory performance available in the cloud. But what do those improvements actually mean for your workloads? In this session, we go beyond the spec sheet into real-world benchmarks across databases, web applications, and ML inference. Hear from a customer who migrated production workloads across multiple Graviton generations and the compounding performance and cost gains they achieved. Walk away with concrete performance data and a practical framework to evaluate Graviton5 for your own migration.","startDateTime":"2026-12-01T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025507149001CHWC","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408460868001uO9l_17746331reinvent2026","displayName":"Sudhir Raman","name":"Sudhir Raman","firstName":"Sudhir","lastName":"Raman","company":"AWS"},{"id":"1725408371608001uwW9_17746331reinvent2026","displayName":"Ali Saidi","name":"Ali Saidi","firstName":"Ali","lastName":"Saidi","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"}],"topics":[{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Business Intelligence"},{"id":"AreaofInterest","displayName":"Data Protection"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":256},{"id":"1780441461150001GGoc","hash":"e051e9d5c0906880478215d77ab9a01f","shortId":"ANT301","title":"Graviton. Serverless. Apache Iceberg. Your guide to a modern data warehouse strategy","abstract":"You need your data warehouse to be fast, open, and accessible to everyone on your team. This session shows you how to get there with Amazon Redshift. Take advantage of Graviton-powered RG instances for faster analytics at lower cost. Eliminate the complexity of managing infrastructure with Redshift Serverless. Query open data formats directly in your data lake with native Apache Iceberg support. And put insights in the hands of every team with natural language access. You'll also learn how multi-warehouse architectures let teams scale independently without duplicating data. Leave with a clear architecture strategy you can apply to your environment.","startDateTime":"2026-12-04T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-04T00:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025478288001CKyO","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1732218541693001ltCb_17746331reinvent2026","displayName":"Raza Hafeez","name":"Raza Hafeez","firstName":"Raza","lastName":"Hafeez","company":"Amazon Web Services"},{"id":"1759879406244001YV8A_17746331reinvent2026","displayName":"Divya Ananthanarayanan","name":"Divya Ananthanarayanan","firstName":"Divya","lastName":"Ananthanarayanan","company":"Amazon"},{"id":"1718848373241001zfcL_17746331reinvent2026","displayName":"Manikandan Paramasivan","name":"Manikandan Paramasivan","firstName":"Manikandan","lastName":"Paramasivan","company":"KOHO Financial"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Redshift"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780442229187001cllG","hash":"1239ffb1bc6368648285902d21e65a4a","shortId":"IND421-R","title":"Grounding LLMs in Truth: Build a Live Fact-Checking Pipeline","abstract":"Walk through the reference architecture of a real-time fact-checking pipeline built on Amazon Bedrock AgentCore. See how a live audio stream is turned into fact-by-fact verdicts (true, misleading, or false), with source citing at broadcast-compatible latency. Learn how to build it yourself using a chain of specialized agents on AgentCore, hybrid search on Amazon OpenSearch Service, Amazon Bedrock Guardrails, and custom tool-use hooks. Leave with a mapped path to create a reference architecture, plus answers to the concrete design questions blocking you such as: agent sharding, tabular corpus indexing, guardrails, and streaming reasoning to the UI.","startDateTime":"2026-12-03T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025535429001Cc2F","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1729630785487001LpTd_17746331reinvent2026","displayName":"Vince Palazzo","name":"Vince Palazzo","firstName":"Vince","lastName":"Palazzo","company":"AWS"},{"id":"1736415446912001dkDi_17746331reinvent2026","displayName":"Iryna Oliinykova","name":"Iryna Oliinykova","firstName":"Iryna","lastName":"Oliinykova","company":"Amazon Web Services"},{"id":"1739345860468001U6Eu_17746331reinvent2026","displayName":"Florian Clanet","name":"Florian Clanet","firstName":"Florian","lastName":"Clanet","company":"AWS"},{"id":"1729629211980001UfKZ_17746331reinvent2026","displayName":"Alen Zograbyan","name":"Alen Zograbyan","firstName":"Alen","lastName":"Zograbyan","company":"Amazon Web Services"},{"id":"1731662645045001d1Ug_17746331reinvent2026","displayName":"Guillaume Marchand","name":"Guillaume Marchand","firstName":"Guillaume","lastName":"Marchand","company":"AWS France"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Builders' Session 2","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon OpenSearch Service"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Responsible AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Media & Entertainment"}],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Tech Explorer"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780442232616001c1fF","hash":"d8e193648acba759099caea7c82a4209","shortId":"ANT420","title":"Ground your agents with AWS Context and Amazon SageMaker","abstract":"Agents are only as good as the context they're given. 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This session explores two CPU-intensive AI patterns on EC2. First, AI inference: serving language model predictions at scale using Graviton and x86 instances, with real-world cost and latency tradeoffs. Second, agentic AI: running sandboxed environments where autonomous agents compile code, execute tools, and interact with external systems, requiring fast, isolated, ephemeral compute. We share production architectures, performance benchmarks across instance families, and practical guidance on matching your AI workload to the right EC2 CPU. Walk away with a decision framework for running AI beyond GPUs.","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790360372139001AgaJ","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1788357683217001zWid_17746331reinvent2026","displayName":"Anuj Purohit","name":"Anuj Purohit","firstName":"Anuj","lastName":"Purohit","company":"Amazon Web Services (AWS)"},{"id":"1726614824881001Lq1H_17746331reinvent2026","displayName":"Anton Valter","name":"Anton Valter","firstName":"Anton","lastName":"Valter","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780441498245001GDQ0","shortId":"CMP333-R","startDateTime":"2026-11-30T18:30:00.000Z","endDateTime":"2026-11-30T19:30:00.000Z","startTime":"10:30","endTime":"11:30","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780441498245001GDQ0","hash":"f5c2891a71e6a2fdf7a5c83053e2dfaf","shortId":"CMP333-R","title":"Growing role of CPUs in AI: Inference and agents AI on EC2","abstract":"CPUs play a critical and growing role in production AI systems. This session explores two CPU-intensive AI patterns on EC2. First, AI inference: serving language model predictions at scale using Graviton and x86 instances, with real-world cost and latency tradeoffs. Second, agentic AI: running sandboxed environments where autonomous agents compile code, execute tools, and interact with external systems, requiring fast, isolated, ephemeral compute. We share production architectures, performance benchmarks across instance families, and practical guidance on matching your AI workload to the right EC2 CPU. Walk away with a decision framework for running AI beyond GPUs.","startDateTime":"2026-11-30T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-11-30T18:30:00.000Z","endDateTime":"2026-11-30T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025478636001CdE6","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1788357683217001zWid_17746331reinvent2026","displayName":"Anuj Purohit","name":"Anuj Purohit","firstName":"Anuj","lastName":"Purohit","company":"Amazon Web Services (AWS)"},{"id":"1726614824881001Lq1H_17746331reinvent2026","displayName":"Anton Valter","name":"Anton Valter","firstName":"Anton","lastName":"Valter","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82,"repeats":[{"id":"1790358246649001iPGb","shortId":"CMP333-R1","startDateTime":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442251118001cHcn","hash":"679d483a8bbc859f93d41040dfd6f849","shortId":"SVS328","title":"Guardrails for AI-generated Serverless infrastructure","abstract":"Coding agents generate full serverless architectures in seconds, but without guardrails they produce over-permissioned IAM policies, skip encryption at rest, and deploy resources that violate your organization's tagging and cost policies. In this chalk talk, discuss operational controls for AI-generated infrastructure: automated security reviews that catch policy violations before deployment, cost estimation gates that flag unexpected spend, compliance checks against organizational standards, and MCP server configurations that enforce service boundaries and naming conventions. We whiteboard which guardrails to automate versus which require human review, and where teams are getting the balance wrong.","startDateTime":"2026-12-02T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-02T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025524310001C1wM","lastModified":"2026-11-02T17:04:47Z","speakers":[{"id":"1725408364182001u9oO_17746331reinvent2026","displayName":"Tomas Mihalyi","name":"Tomas Mihalyi","firstName":"Tomas","lastName":"Mihalyi","company":"AWS"},{"id":"1736475562193001lIBz_17746331reinvent2026","displayName":"Stan Fan","name":"Stan Fan","firstName":"Stan","lastName":"Fan","company":"AWS"}],"venueRoomName":"Level 1 | Forum 103","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Lambda"}],"topics":[{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Lambda-Based Applications"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1780441473949001Gols","hash":"d85a59ed9081e74c66a1b13050041a21","shortId":"AIM3318","title":"Guardrails for What Your Agent Does, Not Just What It Says","abstract":"Checked one message at a time, a guardrail blocks a coding agent told to \"ignore generated files,\" then passes a retrieved file that tells the agent to delete production logs. This session maps failures that only appear across a session: legitimate instructions misread as attacks, attacks spread across turns, injected instructions in tool results, and tool calls the user never asked for. We explore how Amazon Bedrock Guardrails evaluates prompts and proposed actions against application purpose and session history, where checks belong in an agent loop, and how to act on each result before a tool runs.","startDateTime":"2026-12-03T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-03T20:00:00.000Z","endDateTime":"2026-12-03T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1793734907321001A5D9","lastModified":"2026-11-04T13:18:52Z","speakers":[],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1790358240014001i81w","hash":"0691c9579876c9a90c1e521e9e11e406","shortId":"MAM331-R1","title":"Guide to deploying landing zones & modernized networks in hours","abstract":"Reimagine what migration looks like when landing zone setup and network translation go from weeks to hours. In this chalk talk, we show how AWS Transform's agentic AI compresses that timeline, from migration inventory to fully deployed, validated landing zones and modernized networks. See how production-ready account structures deploy through Control Tower with guardrails in place, and how firewall configurations become optimized VPCs, subnets, and security groups. Bring your questions and hear from the experts building these capabilities.","startDateTime":"2026-12-01T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790360396873001AsK8","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1758906404556001IKWN_17746331reinvent2026","displayName":"Efrat Manor Portnoy","name":"Efrat Manor Portnoy","firstName":"Efrat","lastName":"Manor Portnoy","company":"AWS"},{"id":"1758042061876001Ij8Z_17746331reinvent2026","displayName":"Evgeny Karasik","name":"Evgeny Karasik","firstName":"Evgeny","lastName":"Karasik","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Virtual Private Cloud (Amazon VPC)"},{"id":"Services","displayName":"AWS Control Tower"},{"id":"Services","displayName":"AWS Transform"}],"topics":[{"id":"Topic","displayName":"Migration & Modernization"},{"id":"Topic","displayName":"Networking & Content Delivery"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1780442247479001cmEX","shortId":"MAM331-R","startDateTime":"2026-11-30T20:00:00.000Z","endDateTime":"2026-11-30T21:00:00.000Z","startTime":"12:00","endTime":"13:00","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442247479001cmEX","hash":"f9e13dec2be3a0d7b99db27be71f5095","shortId":"MAM331-R","title":"Guide to deploying landing zones & modernized networks in hours","abstract":"Reimagine what migration looks like when landing zone setup and network translation go from weeks to hours. 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Bring your questions and hear from the experts building these capabilities.","startDateTime":"2026-11-30T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-11-30T20:00:00.000Z","endDateTime":"2026-11-30T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025483547001C59Y","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1758906404556001IKWN_17746331reinvent2026","displayName":"Efrat Manor Portnoy","name":"Efrat Manor Portnoy","firstName":"Efrat","lastName":"Manor Portnoy","company":"AWS"},{"id":"1758042061876001Ij8Z_17746331reinvent2026","displayName":"Evgeny Karasik","name":"Evgeny Karasik","firstName":"Evgeny","lastName":"Karasik","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Virtual Private Cloud (Amazon VPC)"},{"id":"Services","displayName":"AWS Control Tower"},{"id":"Services","displayName":"AWS Transform"}],"topics":[{"id":"Topic","displayName":"Migration & Modernization"},{"id":"Topic","displayName":"Networking & Content Delivery"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1790358240014001i81w","shortId":"MAM331-R1","startDateTime":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Tuesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442239811001cVe8","hash":"710cd22605a02bb68d83a16af4562ab2","shortId":"DAT303","title":"HA and DR design patterns for Amazon RDS for SQL Server and Oracle","abstract":"Explore high availability (HA) and disaster recovery (DR) design patterns for SQL Server and Oracle databases on Amazon RDS. In this session, learn about the features offered by Amazon RDS for business continuity, including Multi-AZ deployments, read replicas, and cross-region replication. Discover the customizations that Amazon RDS enables for HA and DR while also allowing you to bring your own license (BYOL) for SQL Server. Also learn how globally resilient solutions architected with Amazon RDS minimize downtime and meet stringent business continuity requirements for mission-critical workloads.","startDateTime":"2026-12-01T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025496883001CYFt","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408351478001uoNh_17746331reinvent2026","displayName":"Javeed Mohammed","name":"Javeed Mohammed","firstName":"Javeed","lastName":"Mohammed","company":"Amazon Web Services"},{"id":"1725408475132001uQH9_17746331reinvent2026","displayName":"Eric Felice","name":"Eric Felice","firstName":"Eric","lastName":"Felice","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Relational Database Service (Amazon RDS)"}],"topics":[{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Disaster Response & Recovery"},{"id":"AreaofInterest","displayName":"Oracle"},{"id":"AreaofInterest","displayName":"Resilience"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70},{"id":"1780442275908001csOH","hash":"76446eaf47900dc6ab7fa1cfc117e3e9","shortId":"AIM334-R","title":"Hands-on distributed training with AWS Trainium and PyTorch","abstract":"Get hands-on with AWS Trainium and PyTorch's TorchTitan to train models using a fully native PyTorch workflow. This workshop walks you through distributed training on Trainium, covering cluster setup, parallelism strategies, and performance optimization, all through familiar PyTorch APIs. Whether you're training LLMs or fine-tuning domain models, you'll learn how Trainium and TorchTitan simplify scaling without sacrificing native PyTorch flexibility. You will leave able to scale model training on Trainium without changing your PyTorch workflow.","startDateTime":"2026-12-01T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025528975001CL21","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726012430548001g13L_17746331reinvent2026","displayName":"Samir Araujo","name":"Samir Araujo","firstName":"Samir","lastName":"Araujo","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Trainium"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":112,"repeats":[{"id":"1790358253108001i5Fu","shortId":"AIM334-R1","startDateTime":"2026-12-03T16:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","startTime":"08:00","endTime":"10:00","day":"Thursday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358253108001i5Fu","hash":"ff8b48dbbfd0afcabb8171e6598dad27","shortId":"AIM334-R1","title":"Hands-on distributed training with AWS Trainium and PyTorch","abstract":"Get hands-on with AWS Trainium and PyTorch's TorchTitan to train models using a fully native PyTorch workflow. This workshop walks you through distributed training on Trainium, covering cluster setup, parallelism strategies, and performance optimization, all through familiar PyTorch APIs. Whether you're training LLMs or fine-tuning domain models, you'll learn how Trainium and TorchTitan simplify scaling without sacrificing native PyTorch flexibility. You will leave able to scale model training on Trainium without changing your PyTorch workflow.","startDateTime":"2026-12-03T16:00:00.000Z","startTime":"08:00","startTimeFormatted":"2026-12-03T16:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790360381309001AQZt","lastModified":"2026-11-01T17:08:33Z","speakers":[{"id":"1726012430548001g13L_17746331reinvent2026","displayName":"Samir Araujo","name":"Samir Araujo","firstName":"Samir","lastName":"Araujo","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Trainium"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140,"repeats":[{"id":"1780442275908001csOH","shortId":"AIM334-R","startDateTime":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","startTime":"12:00","endTime":"14:00","day":"Tuesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442277443001c8wL","hash":"b6000841f9d5ed970e224974de3ad161","shortId":"CMP405","title":"Hands-on: Harden your AI agents with Nitro Confidential Computing","abstract":"Agentic AI systems autonomously orchestrate tools, integrate third-party components, and make decisions, introducing risks from compromised dependencies and agents deviating from intended behavior. Protecting prompts, agent memory, retrieval context, and model weights requires strong isolation and verifiable trust. In this workshop, you will build agentic AI apps, identify threats from untrusted supply chains and uncontrolled autonomy, and mitigate them using AWS Confidential Computing on EC2 with cryptographic attestation, isolated execution, open weight models, and Amazon Bedrock.","startDateTime":"2026-11-30T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-11-30T23:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025495136001C974","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1725408420584001u1ML_17746331reinvent2026","displayName":"Arvind Raghu","name":"Arvind Raghu","firstName":"Arvind","lastName":"Raghu","company":"AWS"},{"id":"1725408392892001uwnY_17746331reinvent2026","displayName":"Sudhir Reddy Maddulapally","name":"Sudhir Reddy Maddulapally","firstName":"Sudhir Reddy","lastName":"Maddulapally","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"AWS Key Management Service (AWS KMS)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":112},{"id":"1780442284370001cNj2","hash":"6508bfd49c273bf93aa843c994ddb74a","shortId":"SEC315-R","title":"Hands-on Network Defense with AWS Network Firewall and Route 53 DNS Firewall","abstract":"In this workshop, you'll build a comprehensive network security architecture using AWS Network Firewall and Route 53 Resolver DNS Firewall. 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This workshop is for security and network engineers who are comfortable with Amazon VPC networking and AWS Transit Gateway.","startDateTime":"2026-12-01T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025502394001Claf","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1727493962400001CksB_17746331reinvent2026","displayName":"Lawton Pittenger","name":"Lawton Pittenger","firstName":"Lawton","lastName":"Pittenger","company":"Amazon Web Services"},{"id":"1749499637344001UTJW_17746331reinvent2026","displayName":"Brian Westmoreland","name":"Brian Westmoreland","firstName":"Brian","lastName":"Westmoreland","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Route 53"},{"id":"Services","displayName":"AWS Network Firewall"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"},{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":84,"repeats":[{"id":"1790358243580001i5PH","shortId":"SEC315-R1","startDateTime":"2026-12-04T16:00:00.000Z","endDateTime":"2026-12-04T17:00:00.000Z","startTime":"08:00","endTime":"09:00","day":"Friday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358243580001i5PH","hash":"a9e8b5a2d0eb72749a87fe3b1190df34","shortId":"SEC315-R1","title":"Hands-on Network Defense with AWS Network Firewall and Route 53 DNS Firewall","abstract":"In this workshop, you'll build a comprehensive network security architecture using AWS Network Firewall and Route 53 Resolver DNS Firewall. 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When employees adopt AI faster than policy keeps pace, scale becomes a liability. Cox Automotive, the world’s largest automotive services and technology provider and home to brands including Autotrader, Kelley Blue Book, Manheim, vAuto and Dealertrack, defined a governance strategy to empower adoption. Hear how Cox Auto alongside AWS is building an agentic control plane spanning agent identity, ownership, security, cost accountability and more – and why Amazon Quick fit the everyday AI needs of its 29,000 person workforce. 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Join James Blakeslee, Vice President of Engineering at Intuitive Machines, as he shares how the team used AI-powered DevSecOps to ship mission-critical software fast enough to become the first U.S. venture in 50 years — and the first commercial company ever — to land intact on the Moon. You'll learn how they're now using GitLab Duo Agent Platform and Amazon Bedrock to accelerate development toward their next lunar lander. 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The session walks through the team onboarding model, failover patterns between Outposts and the parent AWS Region, and monitoring strategies that detect degradation before it impacts fulfillment operations.","startDateTime":"2026-12-03T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025530592001Cbud","lastModified":"2026-11-02T19:35:31Z","speakers":[{"id":"1732736469629001AgTc_17746331reinvent2026","displayName":"Ian Cottingham","name":"Ian Cottingham","firstName":"Ian","lastName":"Cottingham","company":"Amazon Web Services"},{"id":"1787937199648001GQI2_17746331reinvent2026","displayName":"Gabe Gagliano","name":"Gabe Gagliano","firstName":"Gabe","lastName":"Gagliano","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"AWS Outposts"}],"topics":[{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Edge Computing"},{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"Robotics"},{"id":"AreaofInterest","displayName":"Amazon Builds on AWS"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":66},{"id":"1780441477042001GnzR","hash":"b86ab621e06a6c7dadf2bd6ebac7c487","shortId":"IND3352","title":"How a state agency transformed constituent services with Connect Customer","abstract":"When the Georgia Department of Community Supervision needed to modernize their contact center, they turned to Amazon Connect Customer and AI. In this session, hear firsthand how AI-powered call analysis, real-time transcription, and automated case notes are changing the way officers and staff handle daily interaction. We share lessons learned from discovery through implementation, including how to prioritize high-impact AI use cases and build stakeholder buy-in across a state agency. You’ll leave with actionable strategies to bring AI-powered constituent services to your own agency. ","startDateTime":"2026-12-04T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-04T18:00:00.000Z","endDateTime":"2026-12-04T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025552525001CWvS","lastModified":"2026-11-03T22:06:21Z","speakers":[{"id":"1727103687747001Yvob_17746331reinvent2026","displayName":"Siddiq Syed","name":"Siddiq Syed","firstName":"Siddiq","lastName":"Syed","company":"GA Dept of Community Supervision"},{"id":"1761752593332001LC4N_17746331reinvent2026","displayName":"Jarbas Carvalho","name":"Jarbas Carvalho","firstName":"Jarbas","lastName":"Carvalho","company":"GA-State of Georgia | Department of Community Supervision"},{"id":"1740423893081001w2y8_17746331reinvent2026","displayName":"Pramod Halapeti","name":"Pramod Halapeti","firstName":"Pramod","lastName":"Halapeti","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Friday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Connect"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Tech for Impact"}],"industry":[{"id":"Industry","displayName":"Government"}],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780441480925001G42o","hash":"82db0c51c462477a6dc83ba455e52f77","shortId":"SEC393","title":"How Badger Meter unified customer identity with Amazon Cognito","abstract":"Badger Meter provides smart water solutions for utilities that run critical infrastructure. Its applications used to rely on fragmented authentication, including password hashes, siloed SAML integrations, and custom JWT schemes. Managing identity across those platforms stopped working as the portfolio scaled to 4,000+ tenants. Learn how Badger Meter migrated to Amazon Cognito to centralize authentication, improve authentication experience, and onboard new tenants faster. This session covers multi-tenant architecture, AWS Lambda triggers for token enrichment, SAML and OIDC federation, and managed login.","startDateTime":"2026-12-04T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-04T00:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1791227352354001mv4f","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1762276303173001OPaM_17746331reinvent2026","displayName":"Howie Li","name":"Howie Li","firstName":"Howie","lastName":"Li","company":"Amazon Web Services"},{"id":"1750480773945001sMFC_17746331reinvent2026","displayName":"Jarred Kohout","name":"Jarred Kohout","firstName":"Jarred","lastName":"Kohout","company":"Badger Meter"},{"id":"1730238977920001O12G_17746331reinvent2026","displayName":"Pranab Bora","name":"Pranab Bora","firstName":"Pranab","lastName":"Bora","company":"Badger Meter"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780442245909001cxe7","hash":"ef9d06029118553c39b5d7bf39c714d0","shortId":"IND391","title":"How Bayer Designed 50K Proteins on Amazon Bio Discovery","abstract":"This chalk talk explores how to architect agentic AI workflows for generative protein design at enterprise scale. Using Bayer's oncology nanobody campaign as the reference implementation, we walk through the technical and scientific decisions behind a pipeline that generated 50,000 candidates and 3,000 prioritized candidates in weeks using Amazon Bio Discovery. Topics include: model orchestration patterns for generative and predictive models, designing scoring functions that encode biological mechanism (not just binding affinity), iterative feedback loops between computation and wet-lab validation, and scaling considerations for enterprise drug discovery programs. Attendees will leave this session with a reusable architectural blueprint for building agentic biomolecule design workflows on AWS. ","startDateTime":"2026-11-30T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-11-30T18:00:00.000Z","endDateTime":"2026-11-30T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025477513001C6Db","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1787937207527001GQqu_17746331reinvent2026","displayName":"Christoph Berns","name":"Christoph Berns","firstName":"Christoph","lastName":"Berns","company":"Bayer AG"},{"id":"1787937147475001GoUr_17746331reinvent2026","displayName":"Milton Yu","name":"Milton Yu","firstName":"Milton","lastName":"Yu","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Healthcare & Life Sciences"}],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1786406739005001Lpfq","hash":"02ea1620cfa4343088ea7882cd0dea71","shortId":"MAM342","title":"How Bayer modernized R&D analytics into an agentic decision engine","abstract":"Bayer's R&D analytics relied on manual pipelines, fragmented tooling, and engineering-heavy workflows that bottlenecked scientists. 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AWS DataSync and Storage Gateway handle high-throughput data uploads to S3, but downstream access meant managing multiple data copies, manual downloads, and unstable FUSE mounts, adding cost and operational overhead. Bayer shares how adding S3 Files to their architecture eliminated these access workarounds by providing a simple, mountable file interface directly on their S3 data. Learn how their team reduced data duplication and gave researchers access to petabyte-scale genomics datasets without changing their existing tools or workflows.","startDateTime":"2026-12-03T01:00:00.000Z","startTime":"17:00","startTimeFormatted":"2026-12-03T01:00:00.000Z","endDateTime":"2026-12-03T01:20:00.000Z","endTime":"17:20","sessionTimeId":"1791214472713001Islz","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1763657971747001Py0M_17746331reinvent2026","displayName":"Ben Gonzalez","name":"Ben Gonzalez","firstName":"Ben","lastName":"Gonzalez","company":"Bayer"}],"venueRoomName":"Level 2 | Hall B | Expo | Builder Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780441475601001GnFO","hash":"4d1601e2bfa1a2aee3f1776573379178","shortId":"IND328","title":"How Blue Origin built a centralized enterprise knowledge graph on AWS","abstract":"Building enterprise AI applications shouldn't require every team to reinvent the wheel — standing up data pipelines, managing security, and keeping knowledge bases current. Blue Origin faced this at scale: dozens of teams, hundreds of data sources, and growing demand for AI apps that could reason across all of it. The answer was RAGNet — a centralized enterprise knowledge graph platform built on Amazon Neptune and Amazon Bedrock that aggregates structured and unstructured data into a secure, always-current graph any developer or AI agent can query in plain natural language.","startDateTime":"2026-12-01T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-01T22:30:00.000Z","endDateTime":"2026-12-01T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025551930001CuI1","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1758648096150001c7Sr_17746331reinvent2026","displayName":"Clark Stevens","name":"Clark Stevens","firstName":"Clark","lastName":"Stevens","company":"Blue Origin"},{"id":"1728966373331001vdjy_17746331reinvent2026","displayName":"Prabu Mohan","name":"Prabu Mohan","firstName":"Prabu","lastName":"Mohan","company":"Blueorigin"},{"id":"1738614950258001At5j_17746331reinvent2026","displayName":"Jay Naves","name":"Jay Naves","firstName":"Jay","lastName":"Naves","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Neptune"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Business Intelligence"},{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Government"}],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":278},{"id":"1780441476321001GM6n","hash":"1397a7f8af64b79abba17ef733be58e8","shortId":"IND3326","title":"How Bridgewater Associates uses agentic SDLC to accelerate change","abstract":"Learn how Bridgewater Associates, a leading macroeconomic investment manager, built an agentic SDLC platform that transformed the way technology and investment teams work by leveraging AI agents to automate the software development lifecycle. Built as an AI teammate in Slack and powered by an orchestration service running these agents in secure sandboxes, the platform automates every stage of the SDLC—from idea inception through merge requests in GitLab to deploying code that generates investment signals. Amazon Bedrock powers their coding agents, orchestration stages, and custom agents built using agent SDKs. This session will also discuss integration with AWS frontier agents like AWS DevOps Agent.","startDateTime":"2026-12-03T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025488921001C2Lk","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1728954981127001hNgq_17746331reinvent2026","displayName":"Sayan Chakraborty","name":"Sayan Chakraborty","firstName":"Sayan","lastName":"Chakraborty","company":"Amazon Web Services"},{"id":"1788357696485001zsdQ_17746331reinvent2026","displayName":"Henry Olschofka","name":"Henry Olschofka","firstName":"Henry","lastName":"Olschofka","company":"Bridgewater Associates"},{"id":"1736361133947001e8pa_17746331reinvent2026","displayName":"Peter Sideris","name":"Peter Sideris","firstName":"Peter","lastName":"Sideris","company":"Amazon Web Services"},{"id":"1788357696589001z9wU_17746331reinvent2026","displayName":"Jason Kowalewski","name":"Jason Kowalewski","firstName":"Jason","lastName":"Kowalewski","company":"Bridgewater Associates"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS DevOps Agent"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":278},{"id":"1780441477208001GAch","hash":"8b6495f021cb76ac95ecf6bac34cdcd2","shortId":"IND386","title":"How Bristol Myers Squibb Scales AI from Experiments to Enterprise with AWS","abstract":"Bristol Myers Squibb is scaling AI from targeted experiments to enterprise transformation through its AI Accelerator program. In this session, hear how BMS pairs business-led innovation with AWS to move AI use cases from idea into production. See how this approach is applied across Product Development and Supply, where AI helps improve decision velocity, strengthen supply resilience, optimize operations, and speed the delivery of medicines to patients. Learn how BMS and AWS built the foundation, operating model, and reusable capabilities to scale AI responsibly, turning isolated wins into a repeatable enterprise capability that other organizations can follow.","startDateTime":"2026-12-02T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1791230262098001ZtXW","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1720818331997001AYFS_17746331reinvent2026","displayName":"Ethan Sena","name":"Ethan Sena","firstName":"Ethan","lastName":"Sena","company":"Bristol Myers Squibb"},{"id":"1725408363483001uL22_17746331reinvent2026","displayName":"Brian Loyal","name":"Brian Loyal","firstName":"Brian","lastName":"Loyal","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Neptune"}],"topics":[{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Data Protection"}],"industry":[{"id":"Industry","displayName":"Healthcare & Life Sciences"}],"role":[{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780441477646001GG1s","hash":"87d7ac46b63a2d69baba454593edb2ee","shortId":"IND344","title":"How Chamberlain and Daikin power smart product innovation with AWS","abstract":"Manufacturers are transforming products into connected, intelligent offerings that deliver proactive, personalized customer experiences. Discover how AWS helps you build, connect, and monetize smart products at global scale. Hear how Chamberlain Group migrated its myQ smart home product platform, with 15M+ devices and 12M+ users, to AWS—eliminating multi-cloud complexity and furthering their AI and video intelligence offerings. Also learn how Daikin is using AWS to deliver 24/7 remote monitoring and predictive control across an extensive network of HVAC systems. 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In this session, learn how Citizens migrated legacy IVR and contact center infrastructure to Amazon Connect Customer, deployed conversational AI across voice and digital channels, and integrated generative AI-powered agent assist and real-time conversation intelligence. We cover the solution architecture spanning Amazon Connect Customer, Amazon Lex, Amazon Bedrock, AWS Lambda, and Amazon EventBridge, along with measurable outcomes in containment rates, handle time, and routing accuracy. 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This session covers how Clay structures that context graph, how it feeds AI-driven GTM workflows, and what founders building GTM AI products can learn from Clay's approach to combining and enriching first-party data at scale.","startDateTime":"2026-12-02T16:40:00.000Z","startTime":"08:40","startTimeFormatted":"2026-12-02T16:40:00.000Z","endDateTime":"2026-12-02T17:00:00.000Z","endTime":"09:00","sessionTimeId":"1793317631207001RQ8t","lastModified":"2026-10-31T01:23:35Z","speakers":[],"venueRoomName":"Level 1 | Forum Event Plaza | Startup Plaza Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Entrepreneur (Founder/Co-Founder)"},{"id":"Role","displayName":"Sales / Marketing"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":70},{"id":"1780441482877001GC3Z","hash":"0c1983bf09e9ae2d4ee926410f2be3f6","shortId":"AIM130-S","title":"How Cox Achieved 7x ROI with Agentic AI on AWS (sponsored by Accenture)","abstract":"Cox Communications partnered with Accenture and Anthropic's Claude on AWS to transform B2B marketing and sales, generating a 7x return on its first-year AI investment. By deploying AI-powered marketing and sales agents across 120 micro-industries and eight customer segments, Cox replaced one-size-fits-all campaigns with personalized engagement at scale. The initiative delivered 55% faster speed to market, a 2-point increase in B2B conversion, 40% higher campaign efficiency, and an 86% reduction in lead management costs while improving data accuracy from 18% to 97%. Today, Cox is operating an end-to-end agentic go-to-market system with human oversight. This presentation is brought to you by Accenture, an AWS Partner.","startDateTime":"2026-12-01T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-01T21:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790034530676001pCqC","lastModified":"2026-11-06T01:40:51Z","speakers":[{"id":"1764099381639001stZg_17746331reinvent2026","displayName":"Katherine Mohrig","name":"Katherine Mohrig","firstName":"Katherine","lastName":"Mohrig","company":"Accenture"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Red Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Elastic Container Service (Amazon ECS)"},{"id":"Services","displayName":"Amazon Nova"}],"topics":[{"id":"Topic","displayName":"Application Integration"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Business Intelligence"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Sales / Marketing"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780441473454001GxKn","hash":"5d31cb47c42394f31cec0398e4ad93aa","shortId":"AIM3317","title":"How Datadog optimizes cost per token for GenAI at scale","abstract":"Datadog embeds AI across its product portfolio, and every product team has different needs for cost, latency, and model capability. Serving GenAI at production scale requires an architecture that flexibly routes across frontier models, open-weight models, fine-tuned variants, and Datadog's own specialized models — without runaway spend. In this session, Datadog shares how it built a multi-tenant serving platform on AWS to power dozens of AI workloads. Learn the patterns for model routing and fallback, the techniques that reduced cost per token, and the platform-and-product team operating model that lets Datadog ship AI features quickly and reliably.","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1791837847214001COqb","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780441478806001GJTI","hash":"e189e81c58c6dcb49da031d0171c2b95","shortId":"MAM214","title":"How Delta Air Lines achieved always-on code modernization","abstract":"Every enterprise carries the same growing list: outdated dependencies, end-of-life runtimes, and security vulnerabilities that nobody has time to fix. In this session, learn how AWS Transform uses agentic AI to find these issues across your entire portfolio and fix them without waiting for a human to intervene. We'll cover how to maintain a living inventory of what needs upgrading, prioritize by risk, and automate remediation at scale. Hear how Delta Air Lines drove autonomous remediation across 100+ development teams, turning tech debt from a never-ending backlog into an always-on process.","startDateTime":"2026-12-02T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025516061001CkEp","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725566516182001SQzg_17746331reinvent2026","displayName":"Venugopalan Vasudevan","name":"Venugopalan Vasudevan","firstName":"Venugopalan","lastName":"Vasudevan","company":"AWS"},{"id":"1761084077450001ULAV_17746331reinvent2026","displayName":"Jas Chhabra","name":"Jas Chhabra","firstName":"Jas","lastName":"Chhabra","company":"Amazon"},{"id":"1761755906818001K2dp_17746331reinvent2026","displayName":"Vidheer Gadikota","name":"Vidheer Gadikota","firstName":"Vidheer","lastName":"Gadikota","company":"Delta Air Lines"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"AWS Transform"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780441478137001Grzr","hash":"2b140a6480dcdc473e7067ac5e05ce44","shortId":"MAM202","title":"How Deutsche Bahn made 10 years of cloud modernization pay off in AI","abstract":"You've invested in cloud. Maybe migrated. Maybe modernized. Your board wants AI yesterday, but 88% of companies use AI and only 1% believe they're at maturity. The gap isn't infrastructure. It's whether your organization can move fast enough. In this fireside chat, an AWS executive-in-residence sits down with Deutsche Bahn leadership to unpack how they built that speed: 550+ autonomous teams, AWS migration completed 18 months early, and enterprise-scale agentic AI now in production. You'll leave with: (1) what \"AI-ready\" requires beyond cloud, (2) a governance model for agents at scale, and (3) a framework for pilot to all-in.","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790290303209001wmXp","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1755619474561001wVGA_17746331reinvent2026","displayName":"Rene Schneider","name":"Rene Schneider","firstName":"Rene","lastName":"Schneider","company":"Deutsche Bahn AG"},{"id":"1724486035297001H75k_17746331reinvent2026","displayName":"Matthias Patzak","name":"Matthias Patzak","firstName":"Matthias","lastName":"Patzak","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1791492159175001UDdZ","hash":"dc10b2ac01c4d270a38b9d5b968a2f71","shortId":"SUP404","title":"How Dharma-AI cut LLM costs 99% with fine-tuned models on AWS","abstract":"Dharma-AI cut its LLM costs by 99% by moving from general-purpose foundation models to fine-tuned models running on AWS. 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EchoStar, the company behind DISH, treated it as a chance to reset how CX and IT work together. Instead of handing specs back and forth, the two teams now build side by side in Amazon Connect Customer, shaping and testing each experience before it goes live. CX owns the customer experience. IT owns data, security, and standards. Changes that took six to eight weeks now ship in about one week - roughly 6× faster. Hear from Echostar's CX and IT leaders on how they transformed their operating model, and leave with a framework to start the same shift.","startDateTime":"2026-12-03T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-03T22:30:00.000Z","endDateTime":"2026-12-03T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025546820001C5WC","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1760654189635001HaTH_17746331reinvent2026","displayName":"Sevrin Huff","name":"Sevrin Huff","firstName":"Sevrin","lastName":"Huff","company":"Echostar"},{"id":"1758297666007001RBNm_17746331reinvent2026","displayName":"Tim Baylus","name":"Tim Baylus","firstName":"Tim","lastName":"Baylus","company":"Dish Network Corporation"},{"id":"1791217578923001tkYl_17746331reinvent2026","displayName":"Brian Dawson","name":"Brian Dawson","firstName":"Brian","lastName":"Dawson","company":"Amazon Connect Customer"},{"id":"1730762841243001jtDL_17746331reinvent2026","displayName":"Christina Sansone","name":"Christina Sansone","firstName":"Christina","lastName":"Sansone","company":"Echostar"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780441475188001GA3x","hash":"aaec7712ca4a2e4d8120df4fd53270c1","shortId":"HMC313","title":"How Emirates built Multicloud Agents with open-source Agentic AI Gateway","abstract":"Enterprises running AI agents across multiple clouds face fragmented model access, inconsistent pricing, and vendor lock-in. Open-source Gateways provide a unified interface to orchestrate Models across Amazon Bedrock, Azure OpenAI, and Google Vertex AI based on use-case requirements and token economics. This session demonstrates how Emirates built a multi-cloud agent architecture using an open-source Agentic AI Gateway as the routing layer and Bedrock as the primary backbone. Learn patterns for cost-based routing, fallback strategies, model selection by capability, and unified observability across model and cloud providers.","startDateTime":"2026-12-03T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790034534418001pbu8","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1725407696440001RRHL_17746331reinvent2026","displayName":"Rishi Singla","name":"Rishi Singla","firstName":"Rishi","lastName":"Singla","company":"amazon web services"},{"id":"1725566548650001S04b_17746331reinvent2026","displayName":"Shivagami Gugan","name":"Shivagami Gugan","firstName":"Shivagami","lastName":"Gugan","company":"Amazon Web Services"},{"id":"1788357697502001zt1L_17746331reinvent2026","displayName":"Mahmoud Abid","name":"Mahmoud Abid","firstName":"Mahmoud","lastName":"Abid","company":"Emirates Group"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Purple Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"},{"id":"Topic","displayName":"Open Source"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1790358241371001iMXd","hash":"4124c3f3004929c4e22766ad95109f9c","shortId":"API311-R1","title":"How event driven architectures go wrong and how to fix them","abstract":"Event-driven architectures promise decoupling and scalability, but production systems reveal hard-won lessons. In this chalk talk, we dissect the most expensive anti-patterns teams encounter such as unbounded fan-out, missing dead-letter queues, chatty event schemas that drive up costs, and orchestration gaps that silently drop work. We whiteboard fixes using Amazon EventBridge, AWS Step Functions, and proven enterprise integration patterns, then walk through designs that keep event-driven systems reliable, cost-effective, and observable at scale.","startDateTime":"2026-12-02T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-02T20:00:00.000Z","endDateTime":"2026-12-02T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790360396048001AM4a","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408272934001u9A2_17746331reinvent2026","displayName":"Matthew Meckes","name":"Matthew Meckes","firstName":"Matthew","lastName":"Meckes","company":"Amazon Web Services"},{"id":"1737717604993001jSQe_17746331reinvent2026","displayName":"Deepali Tandale","name":"Deepali Tandale","firstName":"Deepali","lastName":"Tandale","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon EventBridge"},{"id":"Services","displayName":"AWS Lambda"},{"id":"Services","displayName":"AWS Step Functions"}],"topics":[{"id":"Topic","displayName":"Application Integration"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Event-Driven Architecture"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1780442233172001c2Yk","shortId":"API311-R","startDateTime":"2026-12-03T22:30:00.000Z","endDateTime":"2026-12-03T23:30:00.000Z","startTime":"14:30","endTime":"15:30","day":"Thursday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Academy 417"}]},{"id":"1780442233172001c2Yk","hash":"c690f7dd772694baff18e9002df6b452","shortId":"API311-R","title":"How event driven architectures go wrong and how to fix them","abstract":"Event-driven architectures promise decoupling and scalability, but production systems reveal hard-won lessons. 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Learn how governed automation and monthly \"Transform-a-thons\" reclaimed 1,800 engineering hours across 25 teams in three months, and how to shift from reactive patching to predictable dependency lifecycle management. 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FINRA is exploring the role agentic AI services like Amazon Quick can play on FINRA’s Gateway, its primary external platform serving firms. This session covers the how: the design patterns and guardrails for responsible AI in a regulated environment, including draft-and-attest human accountability, data grounding with hallucination detection, tenant isolation, and a pragmatic governance model. Behind that experience, FINRA keeps models and frameworks interchangeable, so capabilities evolve without rebuilding. Leave with a practical framework for governing agentic AI at scale.","startDateTime":"2026-12-01T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025497034001CXkM","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1736356827302001WgH6_17746331reinvent2026","displayName":"Brandon Webb","name":"Brandon Webb","firstName":"Brandon","lastName":"Webb","company":"Amazon"},{"id":"1721485048326001htaE_17746331reinvent2026","displayName":"Eric Weller","name":"Eric Weller","firstName":"Eric","lastName":"Weller","company":"FINRA - Financial Industry Regulatory Authority"},{"id":"1789575201430001LbPT_17746331reinvent2026","displayName":"Noah Egorin","name":"Noah Egorin","firstName":"Noah","lastName":"Egorin","company":"FINRA"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Quicksight Q"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Government"}],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780441465606001GlIi","hash":"dcbd491d631220b0b231259b0d52a0e8","shortId":"BIZ106","title":"How Flybuys Cut Costs by 24% and Scaled AI Agents Across 10M Members","abstract":"10 million members. Limited visibility into support interactions. High costs. Flybuys needed a new path. In 7 months, they migrated to Amazon Connect Customer, bringing operations in-house, and deploying AI agents that now handle 100% of member interactions. The result of the migration has been a 24% cost reduction while improving customer satisfaction. Join this session to hear how Flybuys took control of their member experience, unlocked deep visibility across every interaction, and are now moving quickly to scale agentic AI across voice and digital channels.","startDateTime":"2026-12-03T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025529894001CzMQ","lastModified":"2026-11-06T01:28:43Z","speakers":[{"id":"1770343604010001tNvy_17746331reinvent2026","displayName":"Elias Sayigh","name":"Elias Sayigh","firstName":"Elias","lastName":"Sayigh","company":"AWS"},{"id":"1789688055738001JB9o_17746331reinvent2026","displayName":"Ashok Kumar?","name":"Ashok Kumar?","firstName":"Ashok","lastName":"Kumar?","company":"Flybuys"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780441477486001GiNs","hash":"9e7b5bb035a3ee79087fe5d0c1425f56","shortId":"IND380","title":"How GE Vernova scaled self-service AI Agents to 75,000+ workers on AWS","abstract":"GE Vernova set out to put AI directly into the hands of every employee; from the C-suite to field engineers through its Amp 2.0 platform. In this session, learn how GE Vernova integrated Amazon Bedrock Knowledge Bases and AgentCore to deliver self-service agentic capabilities enabling employees across all roles to interact with enterprise data, automate workflows, and surface insights via natural language. Learn and discover how the team designed agents serving diverse personas, the governance and guardrails for enterprise-wide deployment, and how AgentCore's managed infrastructure enabled rapid scaling without custom orchestration. Walk away with a blueprint for democratizing AI across a global industrial workforce.","startDateTime":"2026-12-02T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-02T20:00:00.000Z","endDateTime":"2026-12-02T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1791230176077001mvzM","lastModified":"2026-11-06T01:28:44Z","speakers":[{"id":"1726237561768001WHtO_17746331reinvent2026","displayName":"Abhishek Naik","name":"Abhishek Naik","firstName":"Abhishek","lastName":"Naik","company":"Amazon Web Services"},{"id":"1762959224649001Oezq_17746331reinvent2026","displayName":"Asma Ali","name":"Asma Ali","firstName":"Asma","lastName":"Ali","company":"GE Vernova"},{"id":"1787937196801001GyfJ_17746331reinvent2026","displayName":"Tony Miles","name":"Tony Miles","firstName":"Tony","lastName":"Miles","company":"GE Vernova"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[{"id":"Industry","displayName":"Energy & Utilities"}],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780442273028001cbDU","hash":"6648578b91677f39222b646cc0d3c209","shortId":"CON342-S","title":"How Hertz Made Karpenter Smarter with autonomous AI-Driven Optimization (sponsored by Cast AI)","abstract":"Hertz used Cast AI agents to make Karpenter much smarter: the agents autonomously analyze every workload, rightsize it, then continuously instruct Karpenter how to rearrange nodes to cut waste. Hertz's platform engineering team deployed this across their multi-cluster EKS fleet entirely through Terraform. Sonal will show the real numbers: where the extra savings hid, how infrastructure-as-code took onboarding from pre-dev to production, and what it takes to automate cost optimization at fleet scale without babysitting it. This presentation is brought to you by Cast AI, an AWS Partner.","startDateTime":"2026-12-02T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-02T18:30:00.000Z","endDateTime":"2026-12-02T18:50:00.000Z","endTime":"10:50","sessionTimeId":"1790033118397001qz9w","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1790272208418001U2f9_17746331reinvent2026","displayName":"Sonal kumar sinha","name":"Sonal kumar sinha","firstName":"Sonal","lastName":"kumar sinha","company":"Sonal Kumar Sinha"}],"venueRoomName":"Level 2 | Hall B | Expo | Global Impact Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Kubernetes"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Entrepreneur (Founder/Co-Founder)"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780441475993001GKxh","hash":"d3effb7b4a375c29e1629f4ecb5ef7de","shortId":"IND3336","title":"How Hyundai Is Transforming Customer and Vehicle Experiences on AWS","abstract":"Hyundai Motor Group is redefining mobility, and AWS is helping pave the way. Discover how Hyundai is using AWS to help deliver Software-Defined Vehicles (SDVs) that evolve through continuous updates, an in-vehicle AI agent that lets drivers manage vehicle functions through natural voice, and an app marketplace that allows drivers to customize their driving experience. Hear how Hyundai is using AI agents to better understand the needs of their customers, deploying Amazon Bedrock AgentCore to monitor, study, and address customer feedback across 17 languages. Walk away with real-world lessons on bringing agentic AI and connected vehicle platforms to production scale.","startDateTime":"2026-11-30T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-11-30T20:00:00.000Z","endDateTime":"2026-11-30T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1791231454374001b2nR","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1736372072377001Dqno_17746331reinvent2026","displayName":"Yunsang Hwang","name":"Yunsang Hwang","firstName":"Yunsang","lastName":"Hwang","company":"AWS"},{"id":"1790811195771001f6ho_17746331reinvent2026","displayName":"Eundoo Song","name":"Eundoo Song","firstName":"Eundoo","lastName":"Song","company":"42dot"},{"id":"1790811195615001fQ1o_17746331reinvent2026","displayName":"Eunjee Moon","name":"Eunjee Moon","firstName":"Eunjee","lastName":"Moon","company":"Hyundai Motor Company"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[{"id":"Industry","displayName":"Automotive"}],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780441482169001Gec5","hash":"7a6036228fd5dbcd1b14f54d7d9d7908","shortId":"AIM126-S","title":"How Iberdrola Increased Marketing Capacity 4x with Agentic AI (sponsored by Accenture)","abstract":"Iberdrola, a Spanish multinational electric utility company, is transforming marketing with CreatIA, an agentic AI platform co-developed with Accenture and AWS. Facing rising demand for content, faster decisions and accelerated campaign delivery, Iberdrola adopted a new operating model powered by specialized AI agents across the marketing lifecycle. CreatIA unifies market intelligence, insights generation, content creation, validation and campaign activation in a single enterprise platform. The solution has reduced time spent analyzing and processing information by 80%, accelerated strategic decision making by 40%, increased creative production capacity by up to four times, and reduced content production costs by 60%. This presentation is brought to you by Accenture, an AWS Partner.","startDateTime":"2026-12-02T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-02T21:00:00.000Z","endDateTime":"2026-12-02T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790034531092001pMsa","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1724951685486001mFBw_17746331reinvent2026","displayName":"Xabier Muruaga","name":"Xabier Muruaga","firstName":"Xabier","lastName":"Muruaga","company":"Iberdrola"},{"id":"1727201580812001iQ2k_17746331reinvent2026","displayName":"Arturo Negredo","name":"Arturo Negredo","firstName":"Arturo","lastName":"Negredo","company":"Accenture S.L. Sociedad Unipersonal"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Red Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Nova"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Networking & Content Delivery"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Business Intelligence"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Sales / Marketing"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780442269117001cYyA","hash":"c94e182858c7c743a846de2c32538807","shortId":"AIM3325-S","title":"How In-Context Learning Delivers Interpretable AI at 90% Lower Cost (sponsored by Sphinx AI)","abstract":"Enterprises have spent years building institutional knowledge, but AI agents still struggle to apply that expertise to complex business tasks. This session explores how scaling in-context learning (ICL) enables organizations to train AI on their existing work, allowing agents to reason and make decisions with the judgment of an organization's experts. We’ll examine how this approach makes institutional knowledge portable across models, achieves 95%+ accuracy and performance while reducing inference costs by 90%+ with the ability to swap to smaller models. Through real-world examples, we’ll demonstrate how organizations can customize AI for their business without costly fine-tuning while maintaining full interpretability into what agents learn, how that knowledge influences their outputs, and how errors can be corrected. This presentation is brought to you by Sphinx AI, an AWS Partner.","startDateTime":"2026-12-01T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T21:50:00.000Z","endTime":"13:50","sessionTimeId":"1790033123960001qVJz","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Business Intelligence"},{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Entrepreneur (Founder/Co-Founder)"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442222070001cCsu","hash":"a3bae0e3f300f65c44e67e5c1279867b","shortId":"SEC307","title":"How Infor strengthened security operations with AWS Security Hub","abstract":"Across complex cloud environments, security teams must sift through a growing volume of signals to prioritize the risks that matter most. AWS Security Hub correlates these signals across AWS and multicloud environments to surface critical attack paths, provide relevant context, prioritize risk, and help you respond at scale. Hear firsthand from Infor, on how they adopted Security Hub to improve their visibility and security operations across regularly changing environments operating at large scale. We'll also dive into the latest capabilities of Security Hub, including multicloud visibility, enhanced risk correlation and impact analysis, and visibility into AI workloads deployed throughout your organization.","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025473306001Ca9Z","lastModified":"2026-11-03T19:15:26Z","speakers":[{"id":"1725408478395001ukOl_17746331reinvent2026","displayName":"Scott Ward","name":"Scott Ward","firstName":"Scott","lastName":"Ward","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Security Hub"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1786406739071001Lprv","hash":"cc0003ae2817a64b3b965fb4a1299ded","shortId":"COP351","title":"How Infor Uses AWS Agentic AI to Transform Cloud Operations at Scale","abstract":"Infor (a Koch Industries company) runs one of the largest enterprise footprints on AWS. As that footprint grew, manual release gates, incident investigations, and periodic security assessments couldn't keep pace. Hear how Infor is adopting AWS agentic AI to reshape operations: DevOps Agent for incident triage and release readiness, Continuum for continuous security validation, and the Well-Architected Agentic AI Lens for production guardrails. Leave with a blueprint for agentic AI at scale.","startDateTime":"2026-11-30T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-11-30T22:30:00.000Z","endDateTime":"2026-11-30T22:50:00.000Z","endTime":"14:50","sessionTimeId":"1790971616926001TlMN","lastModified":"2026-11-06T00:48:04Z","speakers":[{"id":"1725408301130001uk9H_17746331reinvent2026","displayName":"Saurabh Saxena","name":"Saurabh Saxena","firstName":"Saurabh","lastName":"Saxena","company":"Amazon"},{"id":"1725408419447001uTQS_17746331reinvent2026","displayName":"Neel Sendas","name":"Neel Sendas","firstName":"Neel","lastName":"Sendas","company":"Amazon Web Services"},{"id":"1718734020193001bAAx_17746331reinvent2026","displayName":"Durga Dash","name":"Durga Dash","firstName":"Durga","lastName":"Dash","company":"Infor (US), LLC"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1780441464812001Gai3","hash":"648bb7a48326cf2726e3afc2e5013fcd","shortId":"AIM368","title":"How ISVs ship agent products faster: Twilio and Typeform on AgentCore","abstract":"Customers now expect AI agents inside the software they buy. For an ISV, shipping agents to many customers means solving multi-tenancy, per-customer isolation, identity delegation, and cost attribution before writing any agent logic. This session shows how Amazon Bedrock AgentCore handles that undifferentiated work. Twilio and Typeform join on stage to share how they built agent products on AgentCore and serve large numbers of end users without building custom infrastructure. Both stayed framework-neutral and spent their engineering effort on the agent experience rather than the plumbing beneath it. Expect specific isolation, identity, and cost-attribution patterns that move an ISV's agent product from prototype into production.","startDateTime":"2026-11-30T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-11-30T19:30:00.000Z","endDateTime":"2026-11-30T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025480650001CR1H","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408295650001uxxm_17746331reinvent2026","displayName":"Veena Vasudevan","name":"Veena Vasudevan","firstName":"Veena","lastName":"Vasudevan","company":"AWS"},{"id":"1790955885588001dtyh_17746331reinvent2026","displayName":"Peter Janovsky","name":"Peter Janovsky","firstName":"Peter","lastName":"Janovsky","company":"Twilio"},{"id":"1790955885759001dtkT_17746331reinvent2026","displayName":"Andy Kuszyk","name":"Andy Kuszyk","firstName":"Andy","lastName":"Kuszyk","company":"Typeform"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1786342064525001PvSM","hash":"226b8bf6f5c795824c778b0dfcc97619","shortId":"HMC318","title":"How Itaú built cell-based resilience for critical workloads across clouds","abstract":"Mission-critical workloads require extreme resilience without the latency penalty of multi-region architectures, especially when strong consistency and real-time external integrations are required. In this session, discover how cell-based and shard-based architectures reduce blast radius and contain failures across cloud providers while keeping latency within strict thresholds. Explore traffic management patterns between cloud providers, data replication strategies including synchronous and asynchronous approaches, and consistency models. Learn how architectural adapters enable workload portability and provider independence. Gain practical patterns for cross-cell replication and automated failover, with examples from Itaú Unibanco's production environment.","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790034532896001p5D5","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1725408426092001uXWr_17746331reinvent2026","displayName":"Bruno Emer","name":"Bruno Emer","firstName":"Bruno","lastName":"Emer","company":"Amazon Web Services"},{"id":"1788452194888001g7dE_17746331reinvent2026","displayName":"Jorge Rua","name":"Jorge Rua","firstName":"Jorge","lastName":"Rua","company":"Itaú Unibanco"},{"id":"1725384658873001g87r_17746331reinvent2026","displayName":"Guilherme Greco","name":"Guilherme Greco","firstName":"Guilherme","lastName":"Greco","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Resilience"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780441477865001G3MJ","hash":"13c5a7b1a5d9fe4b67217b3942b05ea3","shortId":"MAM201","title":"How IT leaders actually pulled off their cloud migrations","abstract":"How did other organizations get their on-premises environments to AWS? In this panel, migration leaders from global organizations share exactly how they did it, including those moving off VMware and other aging infrastructure. You'll hear the real planning decisions, execution strategies, and lessons learned that made their transitions successful. They'll also share where they're headed next with modernization and innovation. Whether you're just getting started or pushing past roadblocks, you'll leave with proven strategies and practical insights to accelerate your own cloud migration.","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025472898001C6rf","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1761750256420001hQDb_17746331reinvent2026","displayName":"Ravi Kishore","name":"Ravi Kishore","firstName":"Ravi","lastName":"Kishore","company":"CI Financial Inc."},{"id":"1726854536044001ouMy_17746331reinvent2026","displayName":"Boatner Blankenstein","name":"Boatner Blankenstein","firstName":"Boatner","lastName":"Blankenstein","company":"Amazon Web Services"},{"id":"1790242460371001iSrQ_17746331reinvent2026","displayName":"Rama Kolli","name":"Rama Kolli","firstName":"Rama","lastName":"Kolli","company":"CoupangPay Ltd"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Application Integration"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"VMware"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780442264068001crxb","hash":"4c0226d945559adf41683b74b4e27b6d","shortId":"IND3334","title":"How Jack in the Box delivers personalized store reporting at scale ","abstract":"Franchise operators run restaurants, not BI tools. In this session, learn how Jack in the Box delivered store-specific performance reports and actionable insights straight to every operator's inbox across 2,100+ locations. We'll cover throttle-aware parallel orchestration, failure isolation patterns, and how this approach turns business intelligence into a scalable, zero-friction communication channel that drives operator engagement and revenue. 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See how Kiro extracts learnings from explicit instructions and task outcomes, such as successful build commands or rejected pull requests. Explore how it consolidates new knowledge with existing memories, resolves contradictions and expiring facts, and retrieves only relevant context for tasks. 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Bridging this gap is error-prone and expensive. In this session, we show how neurosymbolic AI enables subject-matter experts to formalize natural-language rules into mathematical logic—capturing the original intent in an unambiguous, executable, and verifiable form. We cover the mathematical foundations and demonstrate through practical examples how formalized rules can serve as agent guardrails, compliance checks, and trusted knowledge sources. Attendees will leave with a deep understanding of how neurosymbolic techniques can help them formalize and operationalize their own domain rules.","startDateTime":"2026-12-04T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-04T17:00:00.000Z","endDateTime":"2026-12-04T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1792635477010001vJ62","lastModified":"2026-11-04T19:31:39Z","speakers":[{"id":"1760640818837001NFuY_17746331reinvent2026","displayName":"Dimitra Giannakopoulou","name":"Dimitra Giannakopoulou","firstName":"Dimitra","lastName":"Giannakopoulou","company":"AWS"},{"id":"1791992998800001FQDj_17746331reinvent2026","displayName":"Aman Goel","name":"Aman Goel","firstName":"Aman","lastName":"Goel","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Friday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1780441493752001Goqh","shortId":"INV508-R","startDateTime":"2026-12-02T17:00:00.000Z","endDateTime":"2026-12-02T18:00:00.000Z","startTime":"09:00","endTime":"10:00","day":"Wednesday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Alliance 305"}]},{"id":"1780441476105001GSE2","hash":"c2b31fa04053f83bc850caa82c9f5c91","shortId":"IND3331","title":"How Nordstrom, Coca-Cola Andina & Mondelez use agentic supply chains","abstract":"Supply chain leaders are moving from dashboards that report problems to agents that resolve them, sensing disruption, optimizing routing, and acting in real time. Hear how three retail and CPG leaders deployed agentic AI on AWS at scale. Nordstrom built a multi-agent framework on Amazon Bedrock AgentCore, starting with an agent that cut audit investigations from five weeks to thirty seconds. Coca-Cola Andina developed Miruta, a multi-agent routing solution optimizing supply chain operations across its bottling network. And Mondelez is modernizing production and distribution across 150+ countries. Each shares their architecture, what changed for their teams, and measurable results.","startDateTime":"2026-12-03T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-03T22:30:00.000Z","endDateTime":"2026-12-03T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025547034001CAyS","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1789402260856001uzgn_17746331reinvent2026","displayName":"Fernando Jana Vergara","name":"Fernando Jana Vergara","firstName":"Fernando","lastName":"Jana Vergara","company":"Coca-Cola Andina"},{"id":"1789402260723001um45_17746331reinvent2026","displayName":"Pawan Kushwaha","name":"Pawan Kushwaha","firstName":"Pawan","lastName":"Kushwaha","company":"Nordstrom"},{"id":"1759755723951001KD5U_17746331reinvent2026","displayName":"Sanjay Gurbuxani","name":"Sanjay Gurbuxani","firstName":"Sanjay","lastName":"Gurbuxani","company":"Mondelez International, Inc."},{"id":"1726167312989001UAbg_17746331reinvent2026","displayName":"Aparna Galiasso","name":"Aparna Galiasso","firstName":"Aparna","lastName":"Galiasso","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Orange Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Retail & Consumer Goods"}],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780441477261001Gaty","hash":"b73c69a9a9460a8b9e423c2def300c53","shortId":"IND387","title":"How Novartis is Reimaging an AI-Native Drug Development with AWS","abstract":"Developing a new medicine takes 10 to 15 years and $2.6 billion, and timelines are getting longer. Novartis decided not to optimize the old model but to replace it, building an AI-native ecosystem spanning information, decision, and physical AI across the drug development lifecycle. In this session, hear how AI now writes over 80% of their RWE protocols in production, then go deep on intelligent decision systems that optimize clinical trial planning, and formulation optimisations that improve the medicines Novartis creates. Learn how Novartis and AWS are compressing the path from AI prototype to production, turning ambition into patient impact.","startDateTime":"2026-12-02T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-02T18:30:00.000Z","endDateTime":"2026-12-02T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025517187001CSza","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1789653277770001XxWo_17746331reinvent2026","displayName":"Sander Timmer","name":"Sander Timmer","firstName":"Sander","lastName":"Timmer","company":"Novartis"},{"id":"1770343207278001BIaa_17746331reinvent2026","displayName":"Daniel Pitman","name":"Daniel Pitman","firstName":"Daniel","lastName":"Pitman","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Healthcare & Life Sciences"}],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780442266622001cDXA","hash":"85b1e3719d6d18e622c1b0676f6c3623","shortId":"AIM265-S","title":"How Observability Evolved From Dashboards to Agents Writing Code (sponsored by Honeycomb)","abstract":"Observability's real job has always been closing the feedback loop between what you ship and what happens next. We'll trace how that loop evolved at Honeycomb: from dashboards you stared at, to SLOs that quantified what mattered, to Canvas, agents that investigate with you, and now MCP tools feeding production reality straight back into software written by agents This presentation is brought to you by Honeycomb, an AWS Partner.","startDateTime":"2026-12-02T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-02T19:30:00.000Z","endDateTime":"2026-12-02T19:50:00.000Z","endTime":"11:50","sessionTimeId":"1790033124569001qIJ2","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1720018598545001lIyF_17746331reinvent2026","displayName":"Martin Thwaites","name":"Martin Thwaites","firstName":"Martin","lastName":"Thwaites","company":"Honeycomb.io"}],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon CloudWatch"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780441476267001G3Oy","hash":"2fe97a12b9c15bd2b45deedda45069d2","shortId":"IND3328","title":"How Paytm powers millions of customer journeys with AI agents on AWS","abstract":"Every Paytm customer and merchant leaves a trail—payments, transfers, loans, logins, chats, and voice conversations. Together, these events form a story. Pi Agents, Paytm's multimodal agentic platform on AWS, turns that story into action across acquisition, retention, monetization, and support for 50M+ merchants and 80M+ monthly users. A Paytm-built foundation model learns from 100B+ activity sequences, while specialized SLMs and voice models enable sub-second interactions across 10+ languages. Beyond the customer lifecycle, Pi Agents powers sales, marketing, support, and operations. This session explores how Paytm combines these models with agents to understand, decide, and act.","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025523366001CPsC","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1736235919024001dSf8_17746331reinvent2026","displayName":"Punit Jain","name":"Punit Jain","firstName":"Punit","lastName":"Jain","company":"Amazon Web Services"},{"id":"1788357697174001z3Ni_17746331reinvent2026","displayName":"Tanmoy Bhowmik","name":"Tanmoy Bhowmik","firstName":"Tanmoy","lastName":"Bhowmik","company":"Paytm Mobile Solutions Pvt. Ltd."},{"id":"1768987736875001RnlC_17746331reinvent2026","displayName":"Yana Tarasova","name":"Yana Tarasova","firstName":"Yana","lastName":"Tarasova","company":"Paytm Labs"},{"id":"1736841083409001Xk7m_17746331reinvent2026","displayName":"Naveen Setia","name":"Naveen Setia","firstName":"Naveen","lastName":"Setia","company":"Paytm Mobile Solutions Pvt. Ltd."}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Internet of Things"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780441489009001G3sy","hash":"71372e80302c56b33445731b574031a9","shortId":"AIM2209-S","title":"How Philips accelerated sales quoting with Agentic AI (sponsored by EPAM)","abstract":"Philips, a global health technology company, identified an opportunity to accelerate customer quoting for complex solutions combining equipment, software and services. Working with EPAM, Philips built the solution on AWS using an AI-native approach. A team of fewer than 20 used Amazon Kiro across the software development lifecycle, with Amazon Bedrock and the Strands Agents SDK powering an agentic architecture. The result is Sensei, an AI-powered sales experience. This session shares practical lessons for applying agentic AI, accelerating development and business operations, embedding governance, and moving from prototype to enterprise production at scale. This presentation is brought to you by EPAM, an AWS Partner.","startDateTime":"2026-11-30T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-11-30T21:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025489763001Crb9","lastModified":"2026-11-06T01:40:52Z","speakers":[{"id":"1787635181457001GQwO_17746331reinvent2026","displayName":"Vishwanathan Krishnamoorthy","name":"Vishwanathan Krishnamoorthy","firstName":"Vishwanathan","lastName":"Krishnamoorthy","company":"Koninklijke Philips N.V."}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Application Integration"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Responsible AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780441476934001GBLm","hash":"833725870abf38c4f0d82c531e0eb0ab","shortId":"IND3302","title":"How Prime Video Built an AI-assisted Creative Suite on AWS","abstract":"Premium animated series traditionally take 3.5 years to produce. Prime Video AI Studios built the AI-Assisted Creative Suite on AWS to compress production to under 12 months, with plans to extend support to live-action shorts, second-unit VFX, and feature films. The suite is powered by AI agents on Amazon Bedrock AgentCore and the Strands Agents SDK that select models, build creative workflows, construct prompts, and evaluate outputs. Learn how Prime Video trains and serves their first-party diffusion model fleet on Amazon SageMaker and EKS, running on Amazon EC2 P6 GPU clusters for production-grade throughput and latency.","startDateTime":"2026-11-30T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-11-30T22:30:00.000Z","endDateTime":"2026-11-30T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025522107001C6iI","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1734059481291001DhuN_17746331reinvent2026","displayName":"Rachel Kelley","name":"Rachel Kelley","firstName":"Rachel","lastName":"Kelley","company":"Amazon Web Services"},{"id":"1787937204899001GJOy_17746331reinvent2026","displayName":"Kartik Garg","name":"Kartik Garg","firstName":"Kartik","lastName":"Garg","company":"Prime Video & Amazon MGM Studios"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Orange Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Responsible AI"},{"id":"AreaofInterest","displayName":"Amazon Builds on AWS"}],"industry":[{"id":"Industry","displayName":"Media & Entertainment"}],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780441465490001GH5n","hash":"dfe26ae14aaf14d8b7215371e31d39cb","shortId":"BIZ103","title":"How PulsedIn Scaled Hiring with Amazon Connect Talent","abstract":"What if companies could meet growing hiring demands without increasing recruiting costs?\nPulsedIn faced a critical challenge: growing demand for nurses, limited recruiting capacity, and candidates who often worked outside traditional business hours. Using Amazon Connect Talent, PulsedIn is bringing AI-led interviews to healthcare recruiting, giving candidates the flexibility to interview on their own schedules while helping recruiters manage growing hiring demand. This approach aims to remove hiring bottlenecks, increase recruiting capacity, and support business growth without adding recruiters at the same rate.\nHear directly from PulsedIn’s leadership about why they chose Amazon Connect Talent, how it's transforming their recruiting process, and what they've learned along the way.","startDateTime":"2026-12-03T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-03T21:30:00.000Z","endDateTime":"2026-12-03T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025545159001CAql","lastModified":"2026-11-02T19:35:31Z","speakers":[{"id":"1732728315697001FQTT_17746331reinvent2026","displayName":"Kate Totaro","name":"Kate Totaro","firstName":"Kate","lastName":"Totaro","company":"Amazon"},{"id":"1764203202469001dHTC_17746331reinvent2026","displayName":"Vikram Modgil","name":"Vikram Modgil","firstName":"Vikram","lastName":"Modgil","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":212},{"id":"1780441483838001GYLd","hash":"aed734b84fcb851e3856f2eab73d3640","shortId":"AIM376-S","title":"How Rail Operators Are Using Agentic AI to Improve Service Reliability (sponsored by PwC)","abstract":"Many organizations successfully pilot generative AI but struggle to scale adoption. Rail operators worldwide are now exploring how agentic AI can transform mission-critical operations and improve service reliability. Deutsche Bahn (DB) and Norfolk Southern are among the organizations leading this journey. Using Amazon Bedrock AgentCore, they are transforming rail operations through AI agents embedded into the systems that support daily operations across their transportation networks. The solution combines AI agents and human oversight to automate incident resolution, support operations teams, and improve service reliability. This session explores the journey from proof of concept to production, the governance and safety guardrails required for adoption, and how lighthouse programs are becoming blueprints for enterprise-wide agentic process transformation. This presentation is brought to you by PwC, an AWS Partner.","startDateTime":"2026-12-01T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-01T22:30:00.000Z","endDateTime":"2026-12-01T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025506123001Cbzm","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1787742839272001KVv1_17746331reinvent2026","displayName":"Marc Schulmeyer","name":"Marc Schulmeyer","firstName":"Marc","lastName":"Schulmeyer","company":"Deutsche Bahn AG"},{"id":"1761187726058001N1se_17746331reinvent2026","displayName":"Srikanth Dola","name":"Srikanth Dola","firstName":"Srikanth","lastName":"Dola","company":"Norfolk Southern Corporation"},{"id":"1789027238080001xp7S_17746331reinvent2026","displayName":"Leila Fathallah","name":"Leila Fathallah","firstName":"Leila","lastName":"Fathallah","company":"PwC"},{"id":"1787921851278001Cmiw_17746331reinvent2026","displayName":"Tobias Hackbarth","name":"Tobias Hackbarth","firstName":"Tobias","lastName":"Hackbarth","company":"Deutsche Bahn AG"},{"id":"1724164945138001S0J2_17746331reinvent2026","displayName":"Morten Wetjen","name":"Morten Wetjen","firstName":"Morten","lastName":"Wetjen","company":"PwC Germany"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Red Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Responsible AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780441476768001GdrF","hash":"d7d263ef38023b8407bcdfed9d5d3a00","shortId":"IND3306","title":"How Ramp tracks and governs AI spend down to the team, model, and API key","abstract":"When AI token spend spans multiple providers and dozens of teams, knowing who spent what, on which model, and whether it's COGS or OpEx requires its own pipeline. We'll cover ingesting usage data from third-party AI APIs, processing with Temporal workers, persisting on Amazon Aurora PostgreSQL, running on Amazon ECS Fargate, and surfacing anomalies before they hit your invoice. See how Ramp attributes spend by provider, model, team, and API key, and attributes cost down to the request-level when teams connect their router, gateway, or internal data. Learn how Ramp separates COGS from OpEx for accurate unit economics, then closes the loop with governance.","startDateTime":"2026-12-02T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025523433001Co18","lastModified":"2026-11-03T20:06:08Z","speakers":[{"id":"1791477287445001TU6N_17746331reinvent2026","displayName":"Alexander Chau","name":"Alexander Chau","firstName":"Alexander","lastName":"Chau","company":"Ramp"},{"id":"1725408363811001uC1i_17746331reinvent2026","displayName":"Jigna Gandhi","name":"Jigna Gandhi","firstName":"Jigna","lastName":"Gandhi","company":"Amazon"},{"id":"1789745603720001w8dG_17746331reinvent2026","displayName":"Richard Wang","name":"Richard Wang","firstName":"Richard","lastName":"Wang","company":"Ramp"},{"id":"1787937205862001GJcQ_17746331reinvent2026","displayName":"Siddhi Surana","name":"Siddhi Surana","firstName":"Siddhi","lastName":"Surana","company":"Ramp"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Aurora"},{"id":"Services","displayName":"Amazon Elastic Container Service (Amazon ECS)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Responsible AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780441475130001G0Cv","hash":"d988ec7e0f5a78abc1d5d1390ccdc3dc","shortId":"HMC312","title":"How RBC built a regulated multicloud platform","abstract":"Enterprises running regulated workloads across multiple clouds face a compounding challenge: every platform decision — databases, message buses, orchestration — deepens lock-in and complicates compliance. The Royal Bank of Canada chose a different path. Over seven years, RBC built a multicloud Kubernetes platform spanning AWS, Azure, and on-premises, purpose-built for financial services under multi-jurisdictional oversight. RBC shares how they eliminated vendor lock-in by migrating to open-source databases and messaging, established a \"golden path\" that lets teams deploy to any cloud without rearchitecting, and extended that foundation into agentic AI operations for automated root-cause analysis and remediation. Walk away with a practical playbook for building a compliant, portable multicloud platform that strengthens your security posture at every layer.","startDateTime":"2026-12-03T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-03T17:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1792103614580001z6rd","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1727451959402001iMCC_17746331reinvent2026","displayName":"Vinh Tran","name":"Vinh Tran","firstName":"Vinh","lastName":"Tran","company":"RBC"},{"id":"1727986406926001OKT6_17746331reinvent2026","displayName":"Chris Brandon","name":"Chris Brandon","firstName":"Chris","lastName":"Brandon","company":"Amazon Web Services"},{"id":"1760453358529001lNiV_17746331reinvent2026","displayName":"Ernani Cecon","name":"Ernani Cecon","firstName":"Ernani","lastName":"Cecon","company":"Royal Bank of Canada"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Blue Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"DevOps"},{"id":"AreaofInterest","displayName":"Kubernetes"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780441476603001Gria","hash":"647fdc5688cf690547f74d250ce701ba","shortId":"IND3311","title":"How Santander governs hundreds of AI agents in production on Amazon Bedrock","abstract":"Financial institutions need a consistent way for independent teams to build, deploy, and govern AI agents without creating silos or losing visibility. 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How do you provision, manage, audit, and decommission identities when each cloud provider enforces different authorization models, attribute schemas, and lifecycle hooks? In this session, the National Institutes of Health (NIH), a federal research organization, describes how it uses a centralized identity governance platform to provision identities and entitlements across AWS and Microsoft Azure. You will learn how to avoid governance divergence and design identity lifecycles where access reviews, birthright provisioning, and decommissioning work consistently, regardless of which cloud the identity lands in.","startDateTime":"2026-11-30T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-11-30T18:00:00.000Z","endDateTime":"2026-11-30T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025478148001Cgmb","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1790266821605001MN2q_17746331reinvent2026","displayName":"Joshua Stultz","name":"Joshua Stultz","firstName":"Joshua","lastName":"Stultz","company":"National Institutes of Health"},{"id":"1770348113911001E2eF_17746331reinvent2026","displayName":"Phillip Spies","name":"Phillip Spies","firstName":"Phillip","lastName":"Spies","company":"aws"},{"id":"1725408289500001uXU2_17746331reinvent2026","displayName":"Rodney Underkoffler","name":"Rodney Underkoffler","firstName":"Rodney","lastName":"Underkoffler","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":278},{"id":"1780441493818001G8WE","hash":"28fe4e81eacf0f8b65386bae348b90f7","shortId":"INV509","title":"How to think about NUMA: Optimizing AI inference on EC2","abstract":"Non-Uniform Memory Access (NUMA) topology shapes how every byte of model weight reaches a compute core, and misalignment silently costs throughput. This session explains why NUMA matters for memory locality when running models on EC2, and what changes across Graviton-, Intel-, and AMD-based instances. CPU inference requires deliberate alignment of threads to data, especially as SIMD and AMX instructions amplify memory bandwidth demands per core. Even on GPU instances, host-side NUMA affects preprocessing and KV cache offload. Understand your hardware topology and leverage it to get the most from your inference workloads. ","startDateTime":"2026-12-01T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-01T19:30:00.000Z","endDateTime":"2026-12-01T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025499956001CJqs","lastModified":"2026-11-05T22:29:03Z","speakers":[{"id":"1725408338735001u3CL_17746331reinvent2026","displayName":"Tyler Jones","name":"Tyler Jones","firstName":"Tyler","lastName":"Jones","company":"AWS"},{"id":"1725408468417001uPZg_17746331reinvent2026","displayName":"Kinnar Sen","name":"Kinnar Sen","firstName":"Kinnar","lastName":"Sen","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"Amazon SageMaker"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82},{"id":"1786406738941001Ll1n","hash":"838a85e01b78bee41a4efc90dc47157f","shortId":"SEC387","title":"How to use AI to develop and deploy controls from your internal policies","abstract":"You maintain internal security policies but turning them into implemented, risk-prioritized controls could be manual and slow. This lightning talk demonstrates how to use Kiro to develop and deploy controls at scale across three layers. Preventive controls that block non-compliant actions, detective controls that identify violations and trigger remediation, and proactive controls that validate configurations before deployment. You leave with a practical approach to using AI to accelerate the entire control lifecycle from policy to enforcement.","startDateTime":"2026-12-04T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-04T00:00:00.000Z","endDateTime":"2026-12-04T00:20:00.000Z","endTime":"16:20","sessionTimeId":"1790033111840001qVxr","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408447912001uNny_17746331reinvent2026","displayName":"Pujah Goviel","name":"Pujah Goviel","firstName":"Pujah","lastName":"Goviel","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Config"},{"id":"Services","displayName":"AWS Control Tower"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1780441463982001GUWd","hash":"7ef4c61b71d241a7973d6b4efd3a1d5d","shortId":"AIM211","title":"How Trainium powers the next AI frontier, from silicon to application","abstract":"Every AI breakthrough demands innovation across the full stack: chips, servers, software, and the models built on top, each layer making the next one faster and cheaper to run. In this session, discover how AWS and frontier AI builders drive full-stack innovation on AWS Trainium to scale post-training and reinforcement learning, serve at high throughput, and bend the cost-per-token curve. Examine real architectural decisions from silicon to application, then look ahead to what's next in Trainium and AWS infrastructure. You will see how each layer of innovation compounds and learn where to place your bets on AI infrastructure.","startDateTime":"2026-12-03T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025543031001CQxZ","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1727121126129001ijjp_17746331reinvent2026","displayName":"Colin Brace","name":"Colin Brace","firstName":"Colin","lastName":"Brace","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"AWS Trainium"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780442270118001c1U4","hash":"6a369d3abc5eec65f77a77600c44b6a8","shortId":"AIM106-S","title":"How Vanguard Scales AI Oversight Without Scaling Human Review (sponsored by Capgemini)","abstract":"Human review can't scale linearly with generative-AI volume. Vanguard's AI Center of Excellence built a closed-loop oversight system where every AI response is scored by an LLM-as-judge, confirmed or overturned by a subject-matter expert, and routed through a confusion matrix: confirmed catches sharpen the agent, disagreements calibrate the judge. Each SME label grows a benchmark that resets how much oversight the next cycle needs, proving mathematically that coverage can fall while risk holds flat. Built on Amazon Bedrock AgentCore, Lambda-hosted detector SLMs, SQS, DynamoDB, and SageMaker, the loop moves toward real-time interruption of harmful responses before customers see them. This presentation is brought to you by Capgemini, an AWS Partner.","startDateTime":"2026-12-01T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-01T23:20:00.000Z","endTime":"15:20","sessionTimeId":"1790033124121001qpVH","lastModified":"2026-11-06T01:41:08Z","speakers":[{"id":"1790257848074001O9ho_17746331reinvent2026","displayName":"Piyush Saxena","name":"Piyush Saxena","firstName":"Piyush","lastName":"Saxena","company":"Vanguard"},{"id":"1793061257203001SdO3_17746331reinvent2026","displayName":"Ayush Sharma","name":"Ayush Sharma","firstName":"Ayush","lastName":"Sharma","company":"Capgemini"},{"id":"1790260227915001fP8M_17746331reinvent2026","displayName":"Jithin Pradeep","name":"Jithin Pradeep","firstName":"Jithin","lastName":"Pradeep","company":"Vanguard"}],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon SageMaker"},{"id":"Services","displayName":"AWS Lambda"}],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Entrepreneur (Founder/Co-Founder)"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780441464202001GhWU","hash":"1da22f83439f0a9c66bfcb134fc3a491","shortId":"AIM214","title":"How Vanguard uses SageMaker HyperPod from training to inference for custom LLMs","abstract":"Enterprises that own their AI lifecycle across training and inference can adapt their models as fast as their users' need change. Vanguard outgrew off the shelf models and built infrastructure that runs custom large language models (LLMs) and specialized small language models (SLMs) side by side. Go inside the implementation to see how Amazon SageMaker HyperPod powers resilient multi node training and high throughput inference. Hear lessons from engineering alongside AWS product teams.","startDateTime":"2026-12-03T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-03T22:30:00.000Z","endDateTime":"2026-12-03T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025546675001CfvL","lastModified":"2026-11-06T00:48:04Z","speakers":[{"id":"1729200493204001zPWA_17746331reinvent2026","displayName":"Kareem Syed-Mohammed","name":"Kareem Syed-Mohammed","firstName":"Kareem","lastName":"Syed-Mohammed","company":"Amazon Web Services"},{"id":"1764696928683001MXX0_17746331reinvent2026","displayName":"Swapnil Palod","name":"Swapnil Palod","firstName":"Swapnil","lastName":"Palod","company":"Amazon Web Services"},{"id":"1725333074812001C0ga_17746331reinvent2026","displayName":"Vinay Arora","name":"Vinay Arora","firstName":"Vinay","lastName":"Arora","company":"Amazon Web Services"},{"id":"1719875863341001iOmB_17746331reinvent2026","displayName":"Ritesh Shah","name":"Ritesh Shah","firstName":"Ritesh","lastName":"Shah","company":"The Vanguard Group"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780441476823001Gv0n","hash":"767648d64c9f9094d33fb06e5109dd70","shortId":"IND3300","title":"How WBD Became the First Media Company to Go Agentic Across AdTech","abstract":"Buying and selling media has historically been manual, constrained by legacy systems and fragmented tools. Warner Bros. Discovery is changing that. As the first media company to integrate agentic AI workflows into every system across the media lifecycle, WBD is leapfrogging the competition by embedding autonomous agents at every step: planning, forecasting, optimization, and measurement. This converged platform makes linear TV as addressable and measurable as digital. Learn how WBD and AWS are replacing decades of manual process with self-improving agents that drive precision, yield, and entirely new monetization models at scale.","startDateTime":"2026-12-03T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-03T00:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025527140001Cf9c","lastModified":"2026-11-06T00:47:54Z","speakers":[{"id":"1787636687715001rGTu_17746331reinvent2026","displayName":"Dr. Nage Sethu","name":"Dr. Nage Sethu","firstName":"Dr.","lastName":"Nage Sethu","company":"Warner Bros. Discovery, Inc."},{"id":"1737590244105001HKKx_17746331reinvent2026","displayName":"Ashish Kapur","name":"Ashish Kapur","firstName":"Ashish","lastName":"Kapur","company":"AWS"},{"id":"1770345930269001J5fA_17746331reinvent2026","displayName":"Ken Kanagaraj","name":"Ken Kanagaraj","firstName":"Ken","lastName":"Kanagaraj","company":"AWS"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Orange Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Media & Entertainment"}],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780441480863001GR6H","hash":"f4f7a4b78824429403f388335bea262c","shortId":"SEC390","title":"How Woodside handed SOC monitoring to AWS SIR to focus on threat hunting","abstract":"Routine monitoring and alert triage leave security teams stretched thin. In this session, hear how a global energy company worked with AWS Security Incident Response to change what its SOC spends time on. The company handed eyes-on-glass monitoring and incident response operations to AWS, which freed its security staff for proactive threat hunting. You see how integration with existing ITSM workflows made adoption straightforward, and how the combined team sped up detection, containment, and resolution during a real supply chain attack.","startDateTime":"2026-12-04T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-04T00:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1791227263429001mOi8","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1731456176573001LGG5_17746331reinvent2026","displayName":"Philip Winstanley","name":"Philip Winstanley","firstName":"Philip","lastName":"Winstanley","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780442221678001cLuM","hash":"ac677fa8685b7abefcb527a2b2c2d52e","shortId":"HMC323","title":"How Workday built multicloud data interoperability foundation for Agentic AI","abstract":"As enterprises scale agentic AI, the hardest problem is often giving agents secure, governed access to data spread across multiple clouds. Physically copying the data between clouds introduces cost, latency, and governance risk. In this session, you will learn how Workday leverages Apache Iceberg catalog federation to build bidirectional, zero-copy integration that enables cross-cloud data access without duplicating or moving data. You will see how this open standard based approach lets AI agents reason over trusted enterprise data in place, with governance and business context preserved.","startDateTime":"2026-12-03T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1791224365032001U3FE","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1739918318172001kGOT_17746331reinvent2026","displayName":"Avijit Goswami","name":"Avijit Goswami","firstName":"Avijit","lastName":"Goswami","company":"Amazon Web Services"},{"id":"1730323137972001Lr5F_17746331reinvent2026","displayName":"Shankar Ramachandran","name":"Shankar Ramachandran","firstName":"Shankar","lastName":"Ramachandran","company":"AWS"},{"id":"1788452194741001g61X_17746331reinvent2026","displayName":"Mehreen Ali","name":"Mehreen Ali","firstName":"Mehreen","lastName":"Ali","company":"Workday"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Orange Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"},{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780441484865001GbTa","hash":"16de6d3748fe01ae66960af8aa6912e5","shortId":"AIM251-S","title":"How YipitData Builds AI-Native Analytics with AWS, Databricks, and OpenAI (sponsored by Databricks)","abstract":"YipitData gives customers a self-service way to answer analytical questions using agents grounded in its data, completing custom requests in 30 minutes compared with the two weeks previously needed. This session walks through the production architecture behind that experience, combining Databricks for data governance and observability, OpenAI for reasoning and intelligence, and AWS for application resiliency and hosting.\n\nLearn how a custom agent harness connects OpenAI frontier models to Databricks SQL Warehouses, with Amazon ECS and ElastiCache supporting the application and asynchronous agent execution. We cover Unity Catalog access boundaries, dedicated agent identities, durable session state in Lakebase, and evaluations that check SQL, tool use, and answer consistency. This presentation is brought to you by Databricks, an AWS Partner.","startDateTime":"2026-12-03T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-03T00:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790034531236001pSjF","lastModified":"2026-11-05T07:28:01Z","speakers":[{"id":"1792179569846001lnIw_17746331reinvent2026","displayName":"Sully Clark","name":"Sully Clark","firstName":"Sully","lastName":"Clark","company":"Databricks"},{"id":"1792009633249001W9X4_17746331reinvent2026","displayName":"Ankith Ede","name":"Ankith Ede","firstName":"Ankith","lastName":"Ede","company":"OpenAI"},{"id":"1792009773644001muYU_17746331reinvent2026","displayName":"Anup Segu","name":"Anup Segu","firstName":"Anup","lastName":"Segu","company":"YipitData"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Red Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon CloudFront"},{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"},{"id":"Services","displayName":"Amazon EC2 - Graviton"}],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Business Intelligence"},{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Open Data"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780442248579001cm98","hash":"589078ecd330ba7ea919c6f2ef391b76","shortId":"OPN312","title":"Hugging Face on AWS: AI Model Deployment at Scale","abstract":"AWS and Hugging Face collaborate on open source Deep Learning Containers, optimized inference frameworks, and Neuron integrations that make deploying community models production-ready. This session covers the open source stack - from Transformers library optimizations for Graviton and Trainium to TGI container contributions - that enables customers to serve Hugging Face models at 50% lower cost. Learn deployment patterns used by enterprises running open weight LLMs at millions of requests per day.","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025549296001Cotx","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1726854527708001o6VZ_17746331reinvent2026","displayName":"Saurav Mohanty","name":"Saurav Mohanty","firstName":"Saurav","lastName":"Mohanty","company":"Amazon"},{"id":"1725293444817001pTTK_17746331reinvent2026","displayName":"Prajwal Nag Ramesh","name":"Prajwal Nag Ramesh","firstName":"Prajwal Nag","lastName":"Ramesh","company":"AWS"}],"venueRoomName":"Level 1 | Alliance 305","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1780441477699001GgxY","hash":"a0e6ecbb5561da8038fda5d3a28bfed6","shortId":"IND345","title":"Human+AI Collaboration: How Amazon Deploys Autonomous Operations on AWS","abstract":"Amazon deploys humanoids, autonomous mobile robots, and humans as a unified workforce operating side-by-side on the fulfillment floor. 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Learn how EKS Auto Mode integrates with Application Recovery Controller zonal shift to protect the control plane and running pods during an impaired Availability Zone, keeping critical applications available with no extra configuration.","startDateTime":"2026-12-03T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-03T00:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025527481001CwqT","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1729885945403001cq0j_17746331reinvent2026","displayName":"Sri Saran Balaji Vellore Rajakumar","name":"Sri Saran Balaji Vellore Rajakumar","firstName":"Sri Saran Balaji","lastName":"Vellore Rajakumar","company":"Amazon"},{"id":"1757468145469001RGpL_17746331reinvent2026","displayName":"Shane Corbett","name":"Shane Corbett","firstName":"Shane","lastName":"Corbett","company":"AWS"},{"id":"1725408335339001uMzN_17746331reinvent2026","displayName":"George John","name":"George John","firstName":"George","lastName":"John","company":"Amazon"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"}],"topics":[{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Data Protection"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Culture of Security"}],"industry":[],"role":[{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780441493872001Gs6G","hash":"c1e8b47e5b4f1674fc72965d5e1c6c46","shortId":"INV510-R","title":"Inside Amazon S3: How a one-page design reached planetary scale","abstract":"When Amazon S3 launched in 2006, its design requirements fit one page: scalable, reliable, fast, inexpensive, simple, with no single points of failure. The system was built to treat component failure as normal and use scale as an advantage. Today those founding principles describe an architecture serving hundreds of millions of requests per second across tens of millions of drives, maintaining eleven nines of durability while shipping features without downtime. Hear S3 principal engineers trace the decisions from single host to strong consistency at global scale, how formal methods verify correctness, and how the team balances innovation with operational safety.","startDateTime":"2026-12-02T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-02T19:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025517557001CfoQ","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408430854001uoYl_17746331reinvent2026","displayName":"James Bornholt","name":"James Bornholt","firstName":"James","lastName":"Bornholt","company":"AWS"},{"id":"1759765233467001AZ35_17746331reinvent2026","displayName":"George Porter","name":"George Porter","firstName":"George","lastName":"Porter","company":"Amazon AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82,"repeats":[{"id":"1780441495959001Gdm4","shortId":"INV510-R1","startDateTime":"2026-12-04T17:00:00.000Z","endDateTime":"2026-12-04T18:00:00.000Z","startTime":"09:00","endTime":"10:00","day":"Friday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780441495959001Gdm4","hash":"6b08d1476535550acafd1463c974da83","shortId":"INV510-R1","title":"Inside Amazon S3: How a one-page design reached planetary scale","abstract":"When Amazon S3 launched in 2006, its design requirements fit one page: scalable, reliable, fast, inexpensive, simple, with no single points of failure. The system was built to treat component failure as normal and use scale as an advantage. Today those founding principles describe an architecture serving hundreds of millions of requests per second across tens of millions of drives, maintaining eleven nines of durability while shipping features without downtime. Hear S3 principal engineers trace the decisions from single host to strong consistency at global scale, how formal methods verify correctness, and how the team balances innovation with operational safety.","startDateTime":"2026-12-04T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-04T17:00:00.000Z","endDateTime":"2026-12-04T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1792635495399001m8XV","lastModified":"2026-11-05T04:38:43Z","speakers":[{"id":"1725408430854001uoYl_17746331reinvent2026","displayName":"James Bornholt","name":"James Bornholt","firstName":"James","lastName":"Bornholt","company":"AWS"},{"id":"1759765233467001AZ35_17746331reinvent2026","displayName":"George Porter","name":"George Porter","firstName":"George","lastName":"Porter","company":"Amazon AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Friday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1780441493872001Gs6G","shortId":"INV510-R","startDateTime":"2026-12-02T19:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","startTime":"11:30","endTime":"12:30","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358248293001iBgW","hash":"7a7ab911f5bed330ad4444838b7f9b18","shortId":"STG419-R1","title":"Inside Amazon S3 Vectors: architecture and cost optimization for vector search","abstract":"Vector embeddings power everything from semantic search to RAG, but running them at scale often means high infrastructure costs and operational overhead. In this session, go inside the architecture of Amazon S3 Vectors to see how it delivers vector search at up to 90% lower cost than specialized alternatives, with support for up to 2 billion vectors per index. We'll whiteboard the indexing approach that makes this possible, then explore recent enhancements, including a 100x increase in the per-query search result limit and reduced query pricing, and what they mean for your application's performance and cost. ","startDateTime":"2026-12-01T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790360376506001AWD0","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1732230312255001NicG_17746331reinvent2026","displayName":"Dmitri Pavlichin","name":"Dmitri Pavlichin","firstName":"Dmitri","lastName":"Pavlichin","company":"AWS"},{"id":"1791819798288001dyEN_17746331reinvent2026","displayName":"Bryan Wilkinson","name":"Bryan Wilkinson","firstName":"Bryan","lastName":"Wilkinson","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":98,"repeats":[{"id":"1780442252522001cEGS","shortId":"STG419-R","startDateTime":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","startTime":"10:00","endTime":"11:00","day":"Thursday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442252522001cEGS","hash":"3ce63f9342444cee77093ea7d0f3f81e","shortId":"STG419-R","title":"Inside Amazon S3 Vectors: architecture and cost optimization for vector search","abstract":"Vector embeddings power everything from semantic search to RAG, but running them at scale often means high infrastructure costs and operational overhead. In this session, go inside the architecture of Amazon S3 Vectors to see how it delivers vector search at up to 90% lower cost than specialized alternatives, with support for up to 2 billion vectors per index. We'll whiteboard the indexing approach that makes this possible, then explore recent enhancements, including a 100x increase in the per-query search result limit and reduced query pricing, and what they mean for your application's performance and cost. ","startDateTime":"2026-12-03T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025535975001Cl7I","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1732230312255001NicG_17746331reinvent2026","displayName":"Dmitri Pavlichin","name":"Dmitri Pavlichin","firstName":"Dmitri","lastName":"Pavlichin","company":"AWS"},{"id":"1791819798288001dyEN_17746331reinvent2026","displayName":"Bryan Wilkinson","name":"Bryan Wilkinson","firstName":"Bryan","lastName":"Wilkinson","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82,"repeats":[{"id":"1790358248293001iBgW","shortId":"STG419-R1","startDateTime":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Tuesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780441462028001G0p2","hash":"5fdb33d395ac18cf8f68a841c9ab5aa2","shortId":"ANT332","title":"Inside DuckDB and how AWS Analytics puts it to work","abstract":"DuckDB has become one of the most talked-about innovations in analytics, and now the team behind it, DuckLabs, is part of AWS. In this session, dive deep into the architecture of DuckDB, the in-process analytical database that brings fast OLAP performance to laptops, serverless functions, and data pipelines. Learn how its vectorized execution engine, columnar storage, and zero-dependency design make it well suited for embedded analytics, local development, and edge processing. Explore real-world use cases, performance characteristics, and how DuckDB complements AWS analytics services, including Amazon S3, AWS Glue, Amazon Athena, and Amazon Redshift. Whether you're a data engineer, data scientist, or architect, gain the technical depth to put DuckDB to work.","startDateTime":"2026-11-30T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-11-30T21:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025485734001CqPn","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408476134001udKd_17746331reinvent2026","displayName":"Eric Jones","name":"Eric Jones","firstName":"Eric","lastName":"Jones","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Athena"},{"id":"Services","displayName":"Amazon EMR"},{"id":"Services","displayName":"Amazon Redshift"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780441493928001GYcW","hash":"bcf9a585903bbef603feee18f217db16","shortId":"INV511","title":"Inside NKI: Evolution of the Trainium kernel language","abstract":"NKI is a Python DSL for programming Trainium directly, beyond PyTorch/JAX. This talk goes deep on how NKI evolved, what worked, what didn’t, and what we learned. We cover how the graph-compiler lowers PyTorch/JAX to Trainium and its limits, and how NKI bypasses them for peak performance, from tile programming to direct control over instructions, scheduling, and allocation. We discuss design tradeoffs, and how the compiler evolved from parsing to tracing and diverged from the graph-compiler for predictable lowering, while providing abstractions, tools, and meta-programming for productivity, debugging, profiling, and agentic development. We also demonstrate new capabilities and advanced optimizations.","startDateTime":"2026-11-30T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-11-30T18:00:00.000Z","endDateTime":"2026-11-30T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025476007001CBuH","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1730312652868001WRjV_17746331reinvent2026","displayName":"Liran Alon","name":"Liran Alon","firstName":"Liran","lastName":"Alon","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"AWS Trainium"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780441485793001GCv2","hash":"5e937ef737ad401321a50829beec7639","shortId":"AIM384-S","title":"Inside OpenAI’s Cyber Defense Factory (sponsored by OpenAI)","abstract":"Drawing on lessons from OpenAI's internal Defense Factory, see how you can put agents to work discovering vulnerabilities and driving fixes autonomously. Learn how to implement continuous defense with OpenAI tooling, Daybreak cyber models, and AWS infrastructure including Amazon Bedrock, drawing on lessons from OpenAI's internal Defense Factory. Explore routing findings to the right owners, reducing duplicate findings, and using development environments to validate vulnerabilities and test fixes. As broadly available cyber models help threat actors find decade-old vulnerabilities, this session focuses on how defenders can put continuous defense into practice.","startDateTime":"2026-12-03T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790034534484001pVXn","lastModified":"2026-11-05T21:16:26Z","speakers":[{"id":"1789741709809001g1hp_17746331reinvent2026","displayName":"Matt Boyle","name":"Matt Boyle","firstName":"Matt","lastName":"Boyle","company":"OpenAI"},{"id":"1785948257839001diiU_17746331reinvent2026","displayName":"Shikhar Kwatra","name":"Shikhar Kwatra","firstName":"Shikhar","lastName":"Kwatra","company":"Open AI"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Purple Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Inspector"},{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"DevSecOps"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780441488208001GuO1","hash":"c9e5eacea462754df26c6c75814fea01","shortId":"DVT222-S","title":"Inside Real AI Software Factories: Lessons From the Teams Building Them (sponsored by LaunchDarkly)","abstract":"Everyone's talking about AI software factories. Far fewer have actually built one. In this panel, engineering leaders, partners, and teams putting agents into production go past the hype to the real work: where agents accelerate delivery, where they break, and what it takes to keep humans in control as autonomy scales. Expect specifics, not theory—what worked, what didn't, and what they'd do differently. Whether you're experimenting with coding agents or scaling toward autonomous delivery, you'll leave with practical patterns for building a factory that's genuinely fast and safe. Join us for an honest conversation about engineering at agent speed. This presentation is brought to you by LaunchDarkly, an AWS Partner.","startDateTime":"2026-12-01T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-01T21:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025504269001Cwgy","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1788886839229001GvPM_17746331reinvent2026","displayName":"Jonathan Nolen","name":"Jonathan Nolen","firstName":"Jonathan","lastName":"Nolen","company":""},{"id":"1788886807810001ptuz_17746331reinvent2026","displayName":"Timothy Cook","name":"Timothy Cook","firstName":"Timothy","lastName":"Cook","company":"LaunchDarkly"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Red Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780441494284001GZiL","hash":"5539e0318c49abb377f29ef12fdd22c5","shortId":"INV517","title":"Inside the engine that powers Bedrock inference at scale","abstract":"Serving large language models at scale means running two phases: processing the prompt (prefill) and generating tokens (decode). Prefill is compute-bound, while decode is limited by memory bandwidth, so running both on the same hardware can leave capacity idle. This session goes inside the engine that powers Amazon Bedrock inference. We examine how disaggregated inference runs each phase on its own pool of accelerators, and the challenges that follow: moving the KV cache between pools, keeping both pools busy as traffic shifts, and choosing parallelism strategies for unpredictable long-context workloads. Leave with a deeper understanding of the tradeoffs involved in optimizing inference latency, throughput, and cost at scale.","startDateTime":"2026-11-30T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-11-30T19:30:00.000Z","endDateTime":"2026-11-30T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025480305001C7la","lastModified":"2026-11-02T16:22:25Z","speakers":[{"id":"1725903928679001LPUD_17746331reinvent2026","displayName":"Anthony Liguori","name":"Anthony Liguori","firstName":"Anthony","lastName":"Liguori","company":"Amazon.com"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780441482700001GnHK","hash":"c525bb930f1f18595009aeddd783b080","shortId":"AIM381-S","title":"Inside the frontier: What builders are creating at OpenAI (sponsored by OpenAI)","abstract":"How are builders at OpenAI turning big bets into systems and new products used across the company? Through demos and firsthand stories, go behind the scenes of ambitious projects with the people who built them. Discover the problems they’re tackling, the frontier capabilities that made their ideas possible, and what they’ve learned putting them into practice. Leave with practical lessons for bringing your own ideas to life with OpenAI.","startDateTime":"2026-12-01T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025505271001CW0f","lastModified":"2026-11-05T21:16:26Z","speakers":[{"id":"1789717480592001iW3L_17746331reinvent2026","displayName":"Chris Dickens","name":"Chris Dickens","firstName":"Chris","lastName":"Dickens","company":"OpenAI"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":256},{"id":"1780442270980001c4fG","hash":"1337cff4bb8d14cbad286b78ff519543","shortId":"DVT217-S","title":"Inside the Governed Agentic Software Factory at Enterprise Scale (sponsored by CloudBees)","abstract":"Code is now abundant. AI agents now write, test and deploy code autonomously; the bottleneck has shifted from generating code to governing what reaches production. Loreli Cadapan, VP of Product at CloudBees, takes you inside the governed agentic software factories that the world’s most regulated engineering organizations are building, where every change, human or agent, is visible, auditable and accountable. The work starts after the code changes: encode existing rules as enforceable policy across your toolchain, keep humans in the loop where it matters, and ship software you can stand behind. Because you write code for a reason, and we make sure that reason becomes true. This presentation is brought to you by CloudBees, an AWS Partner.","startDateTime":"2026-12-02T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-02T20:00:00.000Z","endDateTime":"2026-12-02T20:20:00.000Z","endTime":"12:20","sessionTimeId":"1790033120340001qaYl","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venueRoomName":"Level 2 | Hall B | Expo | Builder Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780441477373001GAn3","hash":"8b555a4285e56682e7cd024a11991277","shortId":"IND384","title":"Inside T-Mobile's Kinetic Edge: Real-Time Physical AI at Scale","abstract":"In a Physical AI world, tokens traveling across a telecom network must trigger real-world actions with sub-millisecond latency. Learn how T-Mobile built its Kinetic Edge Platform using AWS Outposts, Amazon SageMaker, and Amazon Bedrock AgentCore, delivering deterministic performance, ultra-low latency, and precise synchronization on a network serving 130M+ customers. We'll cover how to assess Physical AI network requirements and map them to AWS infrastructure options. 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In this talk, UK AISI representatives walk through how they built their evaluation infrastructure on Amazon Bedrock, from model access and prompt orchestration to result analysis. Hear highlights from recent research projects and the engineering decisions that make safety evaluation repeatable at scale. 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This session covers the year's advances in Amazon EKS compute: faster node provisioning and consolidation, finer control over how and when your data plane changes, and new capabilities that match capacity to what workloads actually use rather than what they request. Whether you run Karpenter directly or fully managed EKS Auto Mode, you will see how to cut waste, raise utilization, and get more predictable efficiency for demanding CPU, GPU, and AI/ML workloads. Expect practical patterns and live demos you can apply to your own clusters.","startDateTime":"2026-11-30T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-11-30T19:30:00.000Z","endDateTime":"2026-11-30T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790963621609001QQll","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":256},{"id":"1780441488610001G5Ku","hash":"6051e85d0df8e771dede18ef9482b9c0","shortId":"SEC210-S","title":"Intent-Based Access Control for AI Agents that Actually Do Things (sponsored by WorkOS)","abstract":"Agent permissions offer two bad options: approve every action manually, or skip permissions and trust the prompt. Auto-approve protects your laptop; it won't stop an agent from deleting a thousand CRM records. Roles and scopes suit static users, not agents whose next action depends on the last prompt. This session introduces Intent-Based Access Control (IBAC), where the agent's intent, not a pre-assigned role, is the unit of permission. WorkOS built Airlock on it: mission-bound tokens, every call evaluated against intent, decisions resolving to allow, deny, or escalate. Live demo across Gmail and Linear, including a blocked exfiltration and real-time human approval. This presentation is brought to you by WorkOS, an AWS Partner.","startDateTime":"2026-11-30T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-11-30T18:30:00.000Z","endDateTime":"2026-11-30T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025479879001C2GL","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1792434456588001u3DQ_17746331reinvent2026","displayName":"Abhishek Hingnikar","name":"Abhishek Hingnikar","firstName":"Abhishek","lastName":"Hingnikar","company":"WorkOS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Verified Permissions"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780441462382001GJ4i","hash":"e67037b5c19c17a94f1cf5c419b2cfd1","shortId":"ANT351","title":"Introducing AWS Context: Build governed intelligence for agents at scale","abstract":"AI agents need to understand what your data means, how it connects, and which definitions and rules apply to each use case. AWS Context automatically builds a governed knowledge graph by unifying structured and unstructured data, managed knowledge bases, and technical and business metadata from AWS and third-party sources. This shared foundation grounds agents in your organization’s data, business rules, relationships, and domain knowledge. In this session, dive into the reference architecture and learn best practices for integrating agents with AWS Context, including considerations for identity management, workload sizing, and production deployments.","startDateTime":"2026-12-02T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-02T20:00:00.000Z","endDateTime":"2026-12-02T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025519321001CfsI","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1728342011185001n7j0_17746331reinvent2026","displayName":"Steve Ash","name":"Steve Ash","firstName":"Steve","lastName":"Ash","company":"Amazon AWS"},{"id":"1727129019784001wh6e_17746331reinvent2026","displayName":"Aditya Krishnan","name":"Aditya Krishnan","firstName":"Aditya","lastName":"Krishnan","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Glue"},{"id":"Services","displayName":"AWS Context"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780441497003001GVi1","hash":"322c681515c34e20f10d6d56f3e2bcd9","shortId":"ARC333","title":"Inverting the medallion: Serving reads without hitting Gold","abstract":"Most teams default to Gold as the serving layer. For regulated systems-of-record like health data stores, ledgers, compliance archives, that's rarely the right choice. They're built for durability and interoperability, not production read traffic. The inverted pattern writes promote up the medallion, reads come from purpose-built Silver projections and Gold holds contractual semantics and never serves directly. In this chalk talk, work through change-data-capture synthesis without source support, write/read path splitting, and a routing gateway developers can't bypass. Bring your most painful regulated read path. Leave knowing when to invert, how to scope projections, and what your gateway must enforce.","startDateTime":"2026-12-03T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-03T22:30:00.000Z","endDateTime":"2026-12-03T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025546543001CJMX","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408372084001uXQO_17746331reinvent2026","displayName":"Laks Sundararajan","name":"Laks Sundararajan","firstName":"Laks","lastName":"Sundararajan","company":"AWS"},{"id":"1725408407512001uIV4_17746331reinvent2026","displayName":"Chaitanya Vejendla","name":"Chaitanya Vejendla","firstName":"Chaitanya","lastName":"Vejendla","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Architecture"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Business Intelligence"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":75},{"id":"1780442241582001c88I","hash":"4fc0a79ad9ed5597c119d1b40b9779b8","shortId":"COP363-R","title":"Investigate Incidents Across Teams with AWS DevOps Agent","abstract":"Production incidents typically involve multiple teams, but tooling and investigations are often siloed. In this chalk talk, explore how AWS DevOps Agent meets teams where incident response already happens. See how engineers can interact with the agent directly from tools like Slack, consolidating investigation activity, findings, and recommended actions alongside team communication. Bring your multi-team incident patterns and discuss approaches to faster, more connected incident response across AWS, multicloud, and on-prem environments.","startDateTime":"2026-12-03T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-03T20:00:00.000Z","endDateTime":"2026-12-03T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1791224280809001tqv7","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venueRoomName":"Level 1 | Alliance 305","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1780442283775001cNHk","hash":"ba8f2bb8fe738263cd4f969f40664096","shortId":"SEC322","title":"Investigating Threats to AI: Incident Response to Compromised AI Workloads","abstract":"As organizations adopt generative AI on AWS, security teams need to extend their investigation capabilities into the AI layer. In this hands-on workshop, participants work through a realistic multi-phase incident — tracing a compromised credential from initial exposure through privilege escalation into Amazon Bedrock knowledge bases and AI agents. Using GuardDuty, Security Hub, CloudTrail, and Athena, you'll reconstruct the full attack chain and walk away with the skills to detect, investigate, and respond when threat actors pivot from traditional cloud resources into generative AI workloads.","startDateTime":"2026-12-03T16:00:00.000Z","startTime":"08:00","startTimeFormatted":"2026-12-03T16:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790033112060001qfLI","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1758906406923001IssC_17746331reinvent2026","displayName":"Kyle Shields","name":"Kyle Shields","firstName":"Kyle","lastName":"Shields","company":"AWS"},{"id":"1725408479017001u6KC_17746331reinvent2026","displayName":"Steve de Vera","name":"Steve de Vera","firstName":"Steve","lastName":"de Vera","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon GuardDuty"},{"id":"Services","displayName":"AWS Security Hub"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140},{"id":"1780441465146001G9Pj","hash":"00d36e56c375a22bb75ed44194ceec84","shortId":"AIM374","title":"It's live. Now what? Operating AI on Amazon Bedrock","abstract":"Your AI workload is live. You own three questions: what broke, whose spend is it, and are you still running the right model. Answer the first two with Amazon Bedrock metrics: why latency alone cannot tell you what broke, how output tokens per second separates a slower model from a longer answer, why throttling starts before you reach your quota, and how to attribute spend by caller identity and request metadata. Answer the third with evals: see how Airbnb sets a model and reasoning effort per workload across 3,000 engineers.","startDateTime":"2026-12-01T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025496449001CbB2","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1791819808250001dqTC_17746331reinvent2026","displayName":"Alan Yao","name":"Alan Yao","firstName":"Alan","lastName":"Yao","company":"Airbnb"},{"id":"1727847394449001l2iv_17746331reinvent2026","displayName":"Rashim Gupta","name":"Rashim Gupta","firstName":"Rashim","lastName":"Gupta","company":"Amazon Web Services"},{"id":"1790179704028001mCTB_17746331reinvent2026","displayName":"Jayadev Vadakkanmarveettil","name":"Jayadev Vadakkanmarveettil","firstName":"Jayadev","lastName":"Vadakkanmarveettil","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1787854505699001jnYT","hash":"90b6766e1df663fd7903f3f9aced0d60","shortId":"JPN101","title":"Japan Wrap-up Session","abstract":"This session will be delivered in Japanese and provides a comprehensive recap of the major announcements and strategic updates from the keynote sessions throughout the event. Experienced speakers will summarize the most impactful innovations and key messages from AWS leadership. Designed for a broad audience, from developers and engineers to business decision-makers, this session will help you identify and prioritize the announcements most relevant to your organization. It will also help you prepare to share what you learned at re:Invent with your teams when you return to the office","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1791388541955001MvaB","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1728383459652001DKfI_17746331reinvent2026","displayName":"Yasuhiro Kose","name":"Yasuhiro Kose","firstName":"Yasuhiro","lastName":"Kose","company":"Amazon Web Services Japan G. 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AWS Transform custom runs across hundreds of repos and integrates with CI/CD. The open-source Java skill runs locally in your coding agent, no AWS credentials needed, with final validation on Graviton hardware. The APerf MCP server measures x86 vs. Graviton performance before and after you migrate so you can rightsize. Each fits a different team size, repo count, and timeline. Watch all three run live on one codebase, see where each succeeds and hands off, and leave with a decision framework for when to use each.","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790033109530001qIws","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1736361494673001VbvN_17746331reinvent2026","displayName":"Jake Wolf","name":"Jake Wolf","firstName":"Jake","lastName":"Wolf","company":"AWS"},{"id":"1725408492502001uS0L_17746331reinvent2026","displayName":"Hahnara Hyun","name":"Hahnara Hyun","firstName":"Hahnara","lastName":"Hyun","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon EC2 Linux"},{"id":"Services","displayName":"AWS Transform"}],"topics":[{"id":"Topic","displayName":"Developer Tools"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":80},{"id":"1780442248993001cBwW","hash":"f5f0712c6869e0442787e3dd9c593425","shortId":"SEC205","title":"Journey to post-quantum (PQ) authentication in AWS","abstract":"You use certificates for identity, keys for token signing, and long-lived roots of trust. Now you need to migrate to post-quantum cryptography (PQC) for authentication. In this session, learn how AWS helps you start and stay PQ-ready while preserving backwards compatibility, performance, and AI-friendly security by default. We will demystify the present state and future trajectory of PQ authentication. We discuss the updated CNSA 2.0 dates when RSA and EC will no longer satisfy authentication requirements and the uncertainty around PQ public certificate formats and Merkle Trees in non-browser scenarios. ","startDateTime":"2026-12-03T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-03T20:00:00.000Z","endDateTime":"2026-12-03T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025541679001ConF","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1730301794591001TOHD_17746331reinvent2026","displayName":"Avni Rambhia","name":"Avni Rambhia","firstName":"Avni","lastName":"Rambhia","company":"AWS"},{"id":"1725408389804001uV80_17746331reinvent2026","displayName":"Oren Nachman","name":"Oren Nachman","firstName":"Oren","lastName":"Nachman","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cryptography and Post-Quantum"},{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":96},{"id":"1780441482931001GRnw","hash":"73edf00ced130c0b7908c56693c04158","shortId":"ARC205-S","title":"Keeping Your Lakehouse Fast: Optimization Methods for Performance & Cost (sponsored by Cloudera)","abstract":"A common challenge with large-scale Apache Iceberg tables is keeping performance and costs under control as use and volumes grow.  Optimizing tables is the solution, but it’s a tough problem to solve. As data volumes grow, querying effectively requires deliberate tuning and optimization strategies. Streaming ingestion, small files, delete files, aging metadata can gradually increase query latency and costs. In this session, you’ll learn the core optimization techniques that every Iceberg developer should understand, including partitioning, compaction, clustering, cleaning, and data skipping. You'll also learn how these techniques improve query planning and when to apply them. At the end of the session, you’ll see how these best practices can be automated using Cloudera Lakehouse Optimizer to improve performance and reduce costs. This presentation is brought to you by Cloudera, an AWS Partner.","startDateTime":"2026-12-01T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025507718001Cd9n","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1781648774653001P6Xh_17746331reinvent2026","displayName":"Dipankar Mazumdar","name":"Dipankar Mazumdar","firstName":"Dipankar","lastName":"Mazumdar","company":"Cloudera, Inc."}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Open Source"},{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Open Data"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780441482581001GJV7","hash":"e92ff45c048e5dc449eb20c37c53aa2d","shortId":"BIZ208-S","title":"Keep sleeping at 3am: Elastic watches your Prometheus metrics so you don't have to (sponsored by Elastic)","abstract":"When your kubernetes cluster fires at 3am, who's investigating? In this session we'll show Elastic Nightshift — our autonomous AI SRE — detecting a real Kubernetes incident and working it end to end: from alert to root cause to remediation, with its reasoning made transparent at every step. Nightshift draws on native Prometheus and PromQL metrics in Elastic. Kubernetes logs, out-of-the-box EKS dashboards and workflows, and ES|QL subqueries that correlate metrics with logs and traces in a single investigation. We'll also show how the 30x faster columnar metrics engine and full telemetry retention give Nightshift the complete context it needs to work like your best engineer This presentation is brought to you by Elastic, an AWS Partner.","startDateTime":"2026-11-30T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-11-30T21:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790034531947001pJP8","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1790346646915001E18f_17746331reinvent2026","displayName":"Jessee Miller","name":"Jessee Miller","firstName":"Jessee","lastName":"Miller","company":"Elastic"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Blue Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780442225397001cQnc","hash":"5aaf83057844f624f9216d48842e97b7","shortId":"COP307","title":"Keep your open source observability, move to managed scale","abstract":"Teams standardized on Prometheus, Grafana, and OpenSearch should not have to abandon their tools to get scale and lower operational overhead. 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Every cold query runs through a map-reduce backend that used to mean one tier, Lambda Functions, regardless of shape. We outgrew Lambda Functions, not Lambda: Managed Instances now absorbs steady-state baseline traffic at roughly 7.5x lower cost than Functions, MicroVMs takes spikes of load tolerating 1.5 seconds of added latency, and Functions still catches bursty spillover. We'll walk through the observability and benchmarks that drove each cutover, and the routing logic deciding which tier a query lands on before it executes. 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For steady-state, high-throughput functions, per-invocation pricing becomes more expensive than running the same code on EC2, but you don't want to manage instances. Lambda Managed Instances give you EC2 economics with multi-concurrency while Lambda handles instance lifecycle, patching, and scaling. In this chalk talk, we whiteboard the decision: when Managed Instances beat standard Lambda pricing, what workloads migrate cleanly versus what needs adaptation, and how to model your break-even point. Bring your Lambda bill. 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With Lambda Managed Instances, you can optimize the performance and cost efficiency of your functions by utilizing specialized EC2 instance types and EC2 pricing benefits, while maintaining the familiar Serverless programming model and benefits like automatic patching, scaling, and 200+ AWS services integration for event-driven workloads. This session will provide an in-depth overview of how to get started with Lambda Managed Instances, recent launches like 90-minute function timeout, enhanced observability, and a behind-the-scenes look at how Lambda manages and scales your instances to ensure a seamless serverless experience.","startDateTime":"2026-12-01T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790963622303001QowZ","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Lambda-Based Applications"},{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":256},{"id":"1780442251413001cC5e","hash":"94d5baf236e9bb4e44131eede6b2a0fd","shortId":"SVS333-R","title":"Lambda MicroVMs: Secure stateful sandboxes for code execution","abstract":"AI agents generate code, customers upload plugins, and third-party extensions need execution environments. All of it requires strong isolation. In this chalk talk, we discuss Lambda MicroVMs: VM-level, isolated sandboxes with filesystem state that persists across invocations. We cover the security model (how isolation boundaries prevent lateral movement), stateful session management for multi-turn agent interactions, lifecycle controls that limit resource consumption, and integration patterns with Step Functions and EventBridge for orchestrating sandboxed workloads. Bring your multi-tenant architecture questions. 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Lambda Web Functions drops that requirement. Your code listens on a port, same as localhost. Multi-concurrency keeps sandboxes warm across requests, delivering consistent response times. Active-duration billing charges for CPU consumed, not time spent waiting on a database response. Opt-in multi-region replication puts your app closer to users: pick your regions, code distribution handles the rest. This session covers the execution model, billing mechanics at real workloads, multi-region setup, and a live deployment from zero to global endpoint.","startDateTime":"2026-12-02T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790963623322001Q4Qz","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Lambda"}],"topics":[{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Front-End Web & Mobile"},{"id":"AreaofInterest","displayName":"Lambda-Based Applications"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":212},{"id":"1780442249891001cYp6","hash":"fea4ad0e4635701c68785f0b69a3c968","shortId":"SEC369","title":"Land migrated workloads with controls already in place","abstract":"Most migrations add governance controls after workloads land on AWS, and that creates rework. This chalk talk shows how to build guardrails into your AWS Transform migration workflow with AWS Organizations, IAM Identity Center, AWS Config, and AWS Security Hub so workloads arrive with controls in place. Bring your migration challenges, and we design a secure-by-default landing together that carries governance through each phase of the migration.","startDateTime":"2026-12-01T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-01T19:30:00.000Z","endDateTime":"2026-12-01T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025500921001CUm7","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1725408374998001uK0A_17746331reinvent2026","displayName":"David Piet","name":"David Piet","firstName":"David","lastName":"Piet","company":"Amazon Web Services"},{"id":"1772582391529001R2S1_17746331reinvent2026","displayName":"Jakob Altevolmer","name":"Jakob Altevolmer","firstName":"Jakob","lastName":"Altevolmer","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS IAM Identity Center"},{"id":"Services","displayName":"AWS Organizations"},{"id":"Services","displayName":"AWS Transform"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780442247533001cYwl","hash":"2e7089e0af310513ddef3afd4ce9c65b","shortId":"MAM415","title":"Large-scale VMware exit: engineering a 10,000+ server migration wave engine","abstract":"Organizations facing VMware licensing pressure need more than a migration plan. 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","startDateTime":"2026-12-03T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025535020001CSmS","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408494010001u2yW_17746331reinvent2026","displayName":"Anti Gyori","name":"Anti Gyori","firstName":"Anti","lastName":"Gyori","company":"Amazon"},{"id":"1725408494185001unmP_17746331reinvent2026","displayName":"Aaron Chen","name":"Aaron Chen","firstName":"Aaron","lastName":"Chen","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"}],"topics":[{"id":"Topic","displayName":"Databases"},{"id":"Topic","displayName":"Networking & Content Delivery"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":94,"repeats":[{"id":"1790358227566001i5TB","shortId":"CMP317-R1","startDateTime":"2026-12-04T18:00:00.000Z","endDateTime":"2026-12-04T19:00:00.000Z","startTime":"10:00","endTime":"11:00","day":"Friday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358227566001i5TB","hash":"db61cacad7b2b41c25572e58f0c99c9f","shortId":"CMP317-R1","title":"Latest trends: Network/EBS intensive workloads on Amazon EC2 instances","abstract":"EC2 network 'n' and EBS-optimized 'b' instances deliver the highest, most consistent network and EBS performance in the cloud. 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Leaders will share the innovations that enabled them to stop managing systems and start orchestrating them.","startDateTime":"2026-12-02T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-02T21:00:00.000Z","endDateTime":"2026-12-02T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025522173001Ca1A","lastModified":"2026-11-06T01:28:59Z","speakers":[{"id":"1732062000964001hHB4_17746331reinvent2026","displayName":"Mark Wu","name":"Mark Wu","firstName":"Mark","lastName":"Wu","company":"Amazon"},{"id":"1725408406205001uCV2_17746331reinvent2026","displayName":"Junjie Tang","name":"Junjie Tang","firstName":"Junjie","lastName":"Tang","company":"AWS"},{"id":"1789058046757001cEpr_17746331reinvent2026","displayName":"Bruno Arnal","name":"Bruno Arnal","firstName":"Bruno","lastName":"Arnal","company":"Amazon"},{"id":"1726525406046001dj6v_17746331reinvent2026","displayName":"Jeffrey Eckhaus","name":"Jeffrey Eckhaus","firstName":"Jeffrey","lastName":"Eckhaus","company":"AWS"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Purple Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Amazon Builds on AWS"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780441479671001GgOE","hash":"7eef815c09c23cf9597dbeab444b7a5a","shortId":"NET332","title":"Level up your bot defense for mobile apps and web with AWS WAF SDK","abstract":"In this session, we'll dive into AWS WAF offerings for advanced bot mitigation. Learn how to go beyond basic rule-based blocking and build dynamic, data-driven defenses that adapt as threats evolve, including AI agents acting on behalf of users and attackers hiding behind residential proxies. We'll explore AWS WAF managed rules, use labels for granular request inspection and integrate SDK workflows to automate threat response across mobile app, JavaScript and API traffic. Through real-world scenarios, you'll see how to tell legitimate users and good agents apart from sophisticated bots, catch proxy-driven abuse that IP reputation alone misses, reduce false positives and keep your application fast on every surface. Bring your questions and learn how to build scalable, intelligent bot protection at the edge.","startDateTime":"2026-12-02T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-02T00:30:00.000Z","endDateTime":"2026-12-02T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025511197001CaEe","lastModified":"2026-11-06T01:28:59Z","speakers":[{"id":"1725408458878001uY7j_17746331reinvent2026","displayName":"Harith Gaddamanugu","name":"Harith Gaddamanugu","firstName":"Harith","lastName":"Gaddamanugu","company":"AWS"},{"id":"1755619449438001w9hK_17746331reinvent2026","displayName":"Madhusudhan Rao","name":"Madhusudhan Rao","firstName":"Madhusudhan","lastName":"Rao","company":"Swiggy"},{"id":"1725566520577001S32t_17746331reinvent2026","displayName":"Tzoori Tamam","name":"Tzoori Tamam","firstName":"Tzoori","lastName":"Tamam","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS WAF"}],"topics":[{"id":"Topic","displayName":"Networking & Content Delivery"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":256},{"id":"1780442257641001cSWC","hash":"e67e68d2d0045516aa10b7f122c75cbd","shortId":"SEC434","title":"Leverage the power of MCP servers for resource inventory and compliance ","abstract":"AI agents can now interact with AWS services through the Model Context Protocol. In this code talk, we live-build a governance agent that uses MCP to query AWS Config for resource configurations. You'll see how to construct compliance checks, detect configuration drift, and trigger automated remediation using natural language all powered by Config's recording and advanced query capabilities. We explain the architecture decisions and trade-offs so you can adapt this pattern to your own governance workflows.","startDateTime":"2026-12-03T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-03T22:30:00.000Z","endDateTime":"2026-12-03T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790033113288001q2he","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408427537001uW8G_17746331reinvent2026","displayName":"Pal Patel","name":"Pal Patel","firstName":"Pal","lastName":"Patel","company":"Amazon"},{"id":"1790268185994001trGl_17746331reinvent2026","displayName":"Francisco (Chico) Ferreira","name":"Francisco (Chico) Ferreira","firstName":"Francisco (Chico)","lastName":"Ferreira","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":60},{"id":"1780441494051001GY8h","hash":"58c9a081f41b1b106416d188976cd4cb","shortId":"INV513","title":"Lifecycle of a pod: trust boundaries in VM-isolated containers","abstract":"Trace a pod from kubelet's RunPodSandbox call to process execution inside a VM isolated sandbox, then dissect the hard problems at each boundary crossing: how do you enforce policy on what runtime actions are allowed? How do you transport container images into an isolated environment the parent cannot read? Where does attestation fit, and how can you truly trust what is running inside? We examine how the trust model shifts between untrusted host and untrusted guest, explore the tradeoffs between CRI compatibility and security invariants, and discuss how EKS is approaching VM-level workload isolation","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025548182001Cq4B","lastModified":"2026-11-04T22:19:31Z","speakers":[{"id":"1725037158417001Kmfz_17746331reinvent2026","displayName":"Todd Neal","name":"Todd Neal","firstName":"Todd","lastName":"Neal","company":"Amazon"},{"id":"1787937077469001GL6y_17746331reinvent2026","displayName":"Fletcher Woodruff","name":"Fletcher Woodruff","firstName":"Fletcher","lastName":"Woodruff","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[],"topics":[{"id":"Topic","displayName":"Security & Identity"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780441467622001GM4k","hash":"709c6f9754305af0318c1631d1a05621","shortId":"COM320","title":"Lights, Camera, Fargate—A Reality-TV Startup Hardened for Scale on AWS","abstract":"In six weeks on reality TV coding show The Full Stack, we built DataSwarm — a data-observability solution shipped as an open-source CLI with cloud-hosted data analysis and remediation. Great demo, wrong architecture. When real users arrived, the demo cracked. So we pivoted. Long-running agents moved off Lambda onto ephemeral ECS Fargate tasks. API keys swapped for firewalled Amazon Bedrock, feature-branched CI/CD with dev-to-prod promotion, and Next.js behind CloudFront, S3, and Lambda@Edge. We break down each tradeoff from first idea to first customer. Leave knowing how to tell demo-grade architectures from customer-grade ones — and when to make the jump.\n","startDateTime":"2026-12-04T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-04T16:30:00.000Z","endDateTime":"2026-12-04T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1791238954264001JnFr","lastModified":"2026-11-05T00:38:44Z","speakers":[{"id":"1725408489095001uB1x_17746331reinvent2026","displayName":"Erik Hanchett","name":"Erik Hanchett","firstName":"Erik","lastName":"Hanchett","company":"Amazon Web Services"},{"id":"1756392989109001p19K_17746331reinvent2026","displayName":"Brian Hough","name":"Brian Hough","firstName":"Brian","lastName":"Hough","company":"Tech Stack Playbook®"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Red Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Friday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Elastic Container Service (Amazon ECS)"},{"id":"Services","displayName":"AWS Lambda"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Community-led"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780441484133001G76j","hash":"9e8c6fd8e487cf9bbb484b4948b20580","shortId":"AIM138-S","title":"Live AI and the Infrastructure Behind It (sponsored by Decart)","abstract":"AI is entering a new era: from static generation to live experiences. From shopping to entertainment, digital experiences are becoming live, visual, and personalized. In this session, Decart will explore the infrastructure powering this shift, what it takes to deliver AI-generated video in real time, and how to bring these experiences to scale. Join us for a look at the technology behind Live AI, and where it’s going next. This presentation is brought to you by Decart, an AWS Partner.","startDateTime":"2026-11-30T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-11-30T17:00:00.000Z","endDateTime":"2026-11-30T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1791221976249001zj0v","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Blue Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Entrepreneur (Founder/Co-Founder)"},{"id":"Role","displayName":"Sales / Marketing"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780442253872001caQQ","hash":"0175718661ef70804ab292f2e8a8d608","shortId":"AIM454","title":"Live-code inference patterns for agentic workloads on Amazon Bedrock","abstract":"Agentic workloads are multi-step, tool-calling, and retrieval-augmented, which means they stress the inference layer differently than a single prompt. In this code talk, we build three patterns live: function calling, multi-step reasoning chains, and retrieval-augmented generation with Knowledge Bases. For each, you see how it behaves at the inference level, including token consumption, latency, and retry logic, and how to tune it for cost and speed. The completed code covers all three patterns and can be adapted to your own agents.","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025512212001CJdR","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408336716001uAyR_17746331reinvent2026","displayName":"Bruno Pistone","name":"Bruno Pistone","firstName":"Bruno","lastName":"Pistone","company":"Amazon Web Services"},{"id":"1725408313522001usyU_17746331reinvent2026","displayName":"Daniel Wirjo","name":"Daniel Wirjo","firstName":"Daniel","lastName":"Wirjo","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":66},{"id":"1791930044225001YKK3","hash":"564634e2c8690e23157be56d57927725","shortId":"IND3354","title":"Lives on the Line: Modernizing National Weather Forecasting on AWS","abstract":"The National Oceanic and Atmospheric Administration's National Weather Service (NWS) is modernizing the platform forecasters rely on across 170+ locations. Join AWS and NOAA to whiteboard the NWS Enterprise Cloud (NEC), the foundation providing secure, scalable landing zones where HIVE applications and CIRRUS data services operate. We'll explore decomposing a legacy desktop into micro-frontends and domain microservices on Amazon EKS, decoupling applications from data through an API abstraction layer, scaling independently during severe weather, and maintaining continuous Authority to Operate (ATO). We'll also discuss how Amazon SageMaker brings machine learning assistance to forecasters. Bring your modernization questions.","startDateTime":"2026-12-02T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-02T00:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1792103541505001JTdP","lastModified":"2026-11-06T01:28:59Z","speakers":[{"id":"1770343246015001BomH_17746331reinvent2026","displayName":"David Santore","name":"David Santore","firstName":"David","lastName":"Santore","company":"AWS"},{"id":"1787636755557001r5Me_17746331reinvent2026","displayName":"Kari Sheets","name":"Kari Sheets","firstName":"Kari","lastName":"Sheets","company":"DoC National Oceanic & Atmospheric Administration (NOAA)"},{"id":"1744931053950001CLng_17746331reinvent2026","displayName":"Rayette Toles-Abdullah","name":"Rayette Toles-Abdullah","firstName":"Rayette","lastName":"Toles-Abdullah","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"Amazon SageMaker"}],"topics":[{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[{"id":"Industry","displayName":"Government"}],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780442250555001c2RU","hash":"b99cf431ce7d480f3fdf931aad2122db","shortId":"SEC336","title":"Living Off the Agent: Detecting and Preventing Lateral Movement in Agentic AI","abstract":"\"Living off the land\" (LOTL) attacks use native OS tools to evade detection. In 2026, techniques evolved to \"Living off the Agent\" (LOTA), compromising enterprise AI agents through subtle prompt injections to exfiltrate data, escalate privileges, and move laterally. Red team studies identified vulnerabilities in production AI agents with distinct LOTA patterns. This chalk talk explores the LOTA taxonomy, detection strategies, and architectural containment patterns. Bring your architecture diagrams, and we'll whiteboard defenses together.","startDateTime":"2026-12-03T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025537885001C14g","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1739224729831001b09H_17746331reinvent2026","displayName":"Emmanuel Isimah","name":"Emmanuel Isimah","firstName":"Emmanuel","lastName":"Isimah","company":"amazon web services"},{"id":"1739339214793001XhFF_17746331reinvent2026","displayName":"Victor Okonyia","name":"Victor Okonyia","firstName":"Victor","lastName":"Okonyia","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780442233710001cr6r","hash":"91d709a17b9ed3f8043363cf951e8428","shortId":"ARC409-R","title":"Load-bearing coupling: Finding the coupling you can't cut","abstract":"Teams break up monoliths to move faster, then find the pieces still fail together. Some coupling is doing real structural work: invariants spanning writes, ordering guarantees, timing assumptions baked into callers. Cut it and you get a distributed monolith, the same dependency with new failure modes. In this session, we whiteboard real systems, insert seams, and price what each dependency costs to cross a boundary: consistency, backpressure, retry semantics. Apply a simple test: if a circuit breaker can't open here without breaking correctness, that coupling is load-bearing. Bring your hardest dependency; leave knowing which coupling to cut, which to keep, and why.","startDateTime":"2026-12-02T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025525244001Cu3V","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1736392363021001lHyS_17746331reinvent2026","displayName":"Matt Coles","name":"Matt Coles","firstName":"Matt","lastName":"Coles","company":"Amazon Web Services"},{"id":"1725408373544001uGn0_17746331reinvent2026","displayName":"Paul Moran","name":"Paul Moran","firstName":"Paul","lastName":"Moran","company":"AWS"}],"venueRoomName":"Level 1 | Alliance 305","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon EventBridge"},{"id":"Services","displayName":"Amazon Simple Queue Service (Amazon SQS)"},{"id":"Services","displayName":"AWS Step Functions"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Resilience"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1790358216844001idEh","shortId":"ARC409-R1","startDateTime":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","startTime":"10:00","endTime":"11:00","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1790358216844001idEh","hash":"250e925030f2d437cb3dac2ffd8b4da6","shortId":"ARC409-R1","title":"Load-bearing coupling: Finding the coupling you can't cut","abstract":"Teams break up monoliths to move faster, then find the pieces still fail together. Some coupling is doing real structural work: invariants spanning writes, ordering guarantees, timing assumptions baked into callers. Cut it and you get a distributed monolith, the same dependency with new failure modes. In this session, we whiteboard real systems, insert seams, and price what each dependency costs to cross a boundary: consistency, backpressure, retry semantics. Apply a simple test: if a circuit breaker can't open here without breaking correctness, that coupling is load-bearing. 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Each team picks its own destination and format, so an AI agent investigating an incident has to search across accounts and reason over a dozen schemas. In this chalk talk, we'll whiteboard a CloudWatch logging design that centralizes logs and enriches them on ingest with service context, so your agents start every investigation with what they need. We'll debate what to transform at ingest versus keep raw, and which logs earn hot storage. 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On the critical path, it works on every alert and ticket, not only the few that reach a person, and getting to root cause is no longer enough. It has to know what production looks like right now, reach the right answer fast enough to act on, work inside the controls you already have, and run at a cost that holds up at that volume. It also has to get better each time, because every agent shares one memory of what the last investigation found. That is what turns on-call into something wider: changes checked after they ship, drift caught before it pages anyone, and the backlog nobody has time for finally worked. 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Attendees will learn strategies for alerting, capacity planning, and building unified dashboards for cross-Region network visibility.","startDateTime":"2026-11-30T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-11-30T22:30:00.000Z","endDateTime":"2026-11-30T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025491288001CaXi","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1790179713894001mnf6_17746331reinvent2026","displayName":"Dave Gadling","name":"Dave Gadling","firstName":"Dave","lastName":"Gadling","company":"Meta"},{"id":"1736356116604001E7Gg_17746331reinvent2026","displayName":"Robin Rodriguez","name":"Robin Rodriguez","firstName":"Robin","lastName":"Rodriguez","company":"AWS"},{"id":"1725408281541001uY3Q_17746331reinvent2026","displayName":"Pratik Mankad","name":"Pratik Mankad","firstName":"Pratik","lastName":"Mankad","company":"AWS"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Purple Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"Amazon Virtual Private Cloud (Amazon VPC)"},{"id":"Services","displayName":"AWS Direct Connect"}],"topics":[{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"},{"id":"Topic","displayName":"Networking & Content Delivery"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780442221569001cfxF","hash":"7396a0d0dfaa86ca0053e33bc0738444","shortId":"WOC101","title":"Managing Bots, Mentoring Brains: The Future of Hybrid Leadership","abstract":"The traditional playbook for executive leadership is undergoing fundamental change as hybrid ecosystems of human employees and autonomous AI agents become commonplace, with agents acting as co-workers, specialists, and decision-makers. This shift requires executives to expand their skill set, dividing organizational goals between human creative strategy and agentic operational execution. Moving past the AI hype, this session examines how human roles must evolve from executors to context engineers and decision architects, and how career progression must be rewritten when entry-level and repetitive work is owned by digital labor. 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But securing AI takes more than knowing where it exists; it requires understanding how data flows, where it comes from, where it goes, and which users, devices, apps, and AI endpoints interact with it along the way. In this session, we’ll explore how to map the AI attack surface and its data lineage while securing the AI endpoints where innovation actually happens. 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Through live whiteboarding and demos, we cover how customers like HUMAIN maximize GPU utilization across workloads and multiple teams on shared clusters using advanced scheduling techniques. We also show how SageMaker Studio gives AI practitioners a single place to iterate on generative AI development, with team isolation. 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Performance matters, a lot, but it’s not just about average performance, it’s about stable low latency that minimizes outliers or tail latency. io2 Block Express volumes are designed for that purpose with consistent sub-millisecond latency and 99.999% durability for critical applications such as SAP HANA, Oracle, Microsoft SQL Server, MySQL, and more. Learn about how its performance characteristics optimize compute utilization, leading to cost efficiency and the success of many performance-demanding use cases. ","startDateTime":"2026-12-03T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-03T21:30:00.000Z","endDateTime":"2026-12-03T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025546105001CyMo","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726763285332001KHTx_17746331reinvent2026","displayName":"Marc Olson","name":"Marc Olson","firstName":"Marc","lastName":"Olson","company":"AWS"},{"id":"1725408402437001uGSw_17746331reinvent2026","displayName":"Jody Gibney","name":"Jody Gibney","firstName":"Jody","lastName":"Gibney","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Block Store (Amazon EBS)"}],"topics":[{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Oracle"},{"id":"AreaofInterest","displayName":"Resilience"},{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780442238403001c9aB","hash":"be07842ea40137de5199edde0c9f90d8","shortId":"CMP313","title":"Maximizing EC2 NVMe local storage","abstract":"Discover how to leverage the latest high-performance Nitro SSDs in EC2 storage-optimized instances for data-intensive workloads. This technical session explores new capabilities for monitoring and managing NVMe instance storage, including enhanced performance metrics like latency, IOPS, and throughput to optimize and troubleshoot your workloads. We will also dive into the new AWS Local Instance Storage (LIS) CSI driver for simplified NVMe volume management in Amazon EKS. 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Alongside browser and API interactions, exposing capabilities through Model Context Protocol (MCP) servers and distributing agents via the Agent-to-Agent (A2A) protocol is fast becoming the norm. In this session, build the two pieces every multi-tenant, agent-ready SaaS needs: an MCP server exposing your tools and resources, and an A2A endpoint with agent cards for inter-agent calls. Discover reference architectures for MCP in front of existing APIs, A2A agent cards, and authentication and authorization on Amazon Bedrock AgentCore. Leave with a blueprint for being a citizen in the agentic ecosystem.","startDateTime":"2026-11-30T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025494913001CoOQ","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1754671200959001rqLs_17746331reinvent2026","displayName":"Rohith Vijayasankar","name":"Rohith Vijayasankar","firstName":"Rohith","lastName":"Vijayasankar","company":"Amazon Web Services"},{"id":"1787937136853001GVRQ_17746331reinvent2026","displayName":"Alexander Pogorielov","name":"Alexander Pogorielov","firstName":"Alexander","lastName":"Pogorielov","company":"Amazon Web Services"},{"id":"1787937136368001GBm4_17746331reinvent2026","displayName":"Luca Guida","name":"Luca Guida","firstName":"Luca","lastName":"Guida","company":"AWS"},{"id":"1731362953476001Di6m_17746331reinvent2026","displayName":"Gaurav Acharya","name":"Gaurav Acharya","firstName":"Gaurav","lastName":"Acharya","company":"AWS"},{"id":"1759334189364001heia_17746331reinvent2026","displayName":"Frederic Schoenberger","name":"Frederic Schoenberger","firstName":"Frederic","lastName":"Schoenberger","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780442270797001crf1","hash":"20df1402661677a487b38e113b3f521c","shortId":"BIZ205-S","title":"MCP is Just An MVP. Context Layers Are The Sequel. (sponsored by Atolio)","abstract":"MCP lets agents connect to systems. It's a minimum viable product, not a complete way to run that connection at scale. Raw database access hit the same wall decades ago, before warehouses and data lakes brought structure and governance at scale. Point-to-point agent connections hit it again: costs climb with every added tool call, latency stacks with every cross-system hop, and permissions rarely travel with retrieved data, making synthesized knowledge a sharper security risk than raw SQL ever posed. This session traces that history, breaks down each failure mode, and maps what a sovereign context layer built for agents solves. 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We present our multi-layered approach to measuring emergent deception under Amazon's Frontier Model Safety Framework (FMSF), combining automated benchmarks, expert red-teaming, and uplift studies. We will dive deep into two innovations: D-REX, a benchmark detecting discrepancies between benign outputs and malicious internal chain-of-thought reasoning; and LH-Deception, a multi-agent simulation revealing emergent \"chains of deception\" across extended task sequences. Together, these tools address critical gaps in frontier safety evaluation and inform deployment governance. 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Most teams operate reactively, triaging problems after they surface and manually guiding users through resolution. This session explores how Amazon WorkSpaces Advisor is using AI to reduce resolution time for both IT administrators and end users. We'll walk through the operational challenges we're hearing from customers, share our approach to solving them, and demonstrate early results from production environments. Bring your deployment architecture questions.","startDateTime":"2026-12-01T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-01T22:30:00.000Z","endDateTime":"2026-12-01T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1791224279112001ttS6","lastModified":"2026-11-04T22:55:04Z","speakers":[],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82},{"id":"1780442256796001c6vT","hash":"0003216d552a1c1b48941f49408beed9","shortId":"MAM313-R","title":"Migrate and modernize infrastructure from your IDE with agentic AI","abstract":"Migration and modernization involve dozens of manual steps across landing zones, networking, and containerization. What if you could drive the entire workflow from your IDE? In this code talk, you'll see how Kiro and AWS Transform work together as an agentic toolkit. First, generate a multi-account landing zone as infrastructure as code. Next, feed a VMware configuration export to the network agent and get Terraform modules or CDK constructs for VPCs, security groups, and production-ready network topology. Then point the containerization agent at a repo to produce ECR images and deploy to Amazon EKS.","startDateTime":"2026-12-02T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790033112548001qegV","lastModified":"2026-11-06T11:49:04Z","speakers":[{"id":"1787937106721001GlCn_17746331reinvent2026","displayName":"Meir Raviv","name":"Meir Raviv","firstName":"Meir","lastName":"Raviv","company":"Amazon"},{"id":"1787937106865001GMlY_17746331reinvent2026","displayName":"Efrat Caspi","name":"Efrat Caspi","firstName":"Efrat","lastName":"Caspi","company":"Amazon"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Transform"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"VMware"},{"id":"AreaofInterest","displayName":"Automation"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":80,"repeats":[{"id":"1790358237358001ii8o","shortId":"MAM313-R1","startDateTime":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T17:30:00.000Z","startTime":"08:30","endTime":"09:30","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358237358001ii8o","hash":"b2a8897749570caa38b9647edddc48ff","shortId":"MAM313-R1","title":"Migrate and modernize infrastructure from your IDE with agentic AI","abstract":"Migration and modernization involve dozens of manual steps across landing zones, networking, and containerization. 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AWS Outposts supports customers on this journey and is now available in second-generation single- and multi-rack offerings that deliver new instance types and Amazon EBS storage, up to 40% better price-performance, and enhanced networking features for monitoring and security. 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AWS Transform's agentic AI capabilities handle the full lifecycle, from automated assessment and business case generation to wave planning and execution, reducing that timeline to hours. In this lightning talk, see how to migrate storage from VMware estates, enterprise databases, and associated data with AI handling the complexity. Leave knowing how to start your first Transform project and accelerate time to results.","startDateTime":"2026-12-02T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T21:50:00.000Z","endTime":"13:50","sessionTimeId":"1790033110855001qulV","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1739207816726001Xbia_17746331reinvent2026","displayName":"Kiran Chukkala","name":"Kiran Chukkala","firstName":"Kiran","lastName":"Chukkala","company":"AWS"},{"id":"1739788010845001DhE1_17746331reinvent2026","displayName":"Martyn Storey","name":"Martyn Storey","firstName":"Martyn","lastName":"Storey","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Transform"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"VMware"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1780442281772001cozb","hash":"c6c48c174801839385c0ebefbd88cdbb","shortId":"MAM305-R","title":"Migrate SQL Server to Aurora PostgreSQL with AI-powered conversion","abstract":"Migrating SQL Server databases with stored procedures, triggers, and complex T-SQL constructs to Aurora PostgreSQL typically takes weeks of manual schema conversion and dependency resolution. 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You'll leave knowing how to reduce weeks of manual effort to hours while improving conversion accuracy and confidence.","startDateTime":"2026-11-30T20:30:00.000Z","startTime":"12:30","startTimeFormatted":"2026-11-30T20:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025485305001CW5a","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408382670001upPm_17746331reinvent2026","displayName":"Vikas Babu Gali","name":"Vikas Babu Gali","firstName":"Vikas Babu","lastName":"Gali","company":"Amazon"},{"id":"1757468126296001R5pj_17746331reinvent2026","displayName":"Koushik Rajagopal","name":"Koushik Rajagopal","firstName":"Koushik","lastName":"Rajagopal","company":"Amazon"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Aurora for PostgreSQL"},{"id":"Services","displayName":"AWS Transform"}],"topics":[{"id":"Topic","displayName":"Databases"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Microsoft & .NET"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":150,"repeats":[{"id":"1790358256468001iSNZ","shortId":"MAM305-R1","startDateTime":"2026-12-01T20:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","startTime":"12:30","endTime":"14:30","day":"Tuesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358256468001iSNZ","hash":"54415e22897ac7c2183645d2e92ba365","shortId":"MAM305-R1","title":"Migrate SQL Server to Aurora PostgreSQL with AI-powered conversion","abstract":"Migrating SQL Server databases with stored procedures, triggers, and complex T-SQL constructs to Aurora PostgreSQL typically takes weeks of manual schema conversion and dependency resolution. 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You'll leave knowing how to reduce weeks of manual effort to hours while improving conversion accuracy and confidence.","startDateTime":"2026-12-01T20:30:00.000Z","startTime":"12:30","startTimeFormatted":"2026-12-01T20:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790360378202001Ab3X","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408382670001upPm_17746331reinvent2026","displayName":"Vikas Babu Gali","name":"Vikas Babu Gali","firstName":"Vikas Babu","lastName":"Gali","company":"Amazon"},{"id":"1757468126296001R5pj_17746331reinvent2026","displayName":"Koushik Rajagopal","name":"Koushik Rajagopal","firstName":"Koushik","lastName":"Rajagopal","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Aurora for PostgreSQL"},{"id":"Services","displayName":"AWS Transform"}],"topics":[{"id":"Topic","displayName":"Databases"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Microsoft & .NET"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":112,"repeats":[{"id":"1780442281772001cozb","shortId":"MAM305-R","startDateTime":"2026-11-30T20:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","startTime":"12:30","endTime":"14:30","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1790358249422001iSqu","hash":"a7673b918c25e7dfeb14e849bb27c4af","shortId":"DAT412-R1","title":"Migrate to Amazon DynamoDB with AI-powered schema design","abstract":"Amazon DynamoDB schema design is the number one barrier to adoption, requiring upfront knowledge of access patterns and partition strategies, which most teams learn through trial and error. New AI-powered schema design tools for DynamoDB change that. In this live coding session, follow along as a banking payment-processing application is migrated from a relational database to DynamoDB. The session covers workload analysis, optimized table design generation, cost and throughput tradeoff comparisons, and iterative refinement toward production-quality schemas, including reviewing AI-generated code, refining the implementation, migrating data, and demonstrating the complete end-to-end solution.","startDateTime":"2026-12-01T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790360390910001AT8z","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1731685433749001hcIv_17746331reinvent2026","displayName":"Kevin Willis","name":"Kevin Willis","firstName":"Kevin","lastName":"Willis","company":"Amazon"},{"id":"1787937041689001GrDx_17746331reinvent2026","displayName":"Keren Tseytlin","name":"Keren Tseytlin","firstName":"Keren","lastName":"Tseytlin","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon DynamoDB"}],"topics":[{"id":"Topic","displayName":"Databases"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":84,"repeats":[{"id":"1780442255663001cJPZ","shortId":"DAT412-R","startDateTime":"2026-11-30T18:00:00.000Z","endDateTime":"2026-11-30T19:00:00.000Z","startTime":"10:00","endTime":"11:00","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442255663001cJPZ","hash":"8efb9ed3c0728935716595b1489fceb7","shortId":"DAT412-R","title":"Migrate to Amazon DynamoDB with AI-powered schema design","abstract":"Amazon DynamoDB schema design is the number one barrier to adoption, requiring upfront knowledge of access patterns and partition strategies, which most teams learn through trial and error. 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Amazon DocumentDB (with MongoDB compatibility) addresses these challenges with a fully managed, highly available service. In this session, examine compatibility features that simplify migration from existing document database environments, and work through architecture decisions affecting performance, cost, and reliability. Discover how enhancements in version 8.0 deliver up to 5x compression and 7x query performance improvement. Discuss common migration blockers, schema transformation approaches, and newest compatibility additions that reduce friction during cutover. Learn a framework for planning and executing document database migrations on AWS.","startDateTime":"2026-12-03T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025537134001C37b","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408304272001uONF_17746331reinvent2026","displayName":"Jim Mlodgenski","name":"Jim Mlodgenski","firstName":"Jim","lastName":"Mlodgenski","company":"Amazon Web Services"},{"id":"1725408317653001u9GX_17746331reinvent2026","displayName":"Douglas Bonser","name":"Douglas Bonser","firstName":"Douglas","lastName":"Bonser","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon DocumentDB (with MongoDB compatibility)"}],"topics":[{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Open Data"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82},{"id":"1780441491249001GEEU","hash":"d6307aebada6c0fc8b64d25e2e5de28c","shortId":"STG359","title":"Migrate your NAS to the cloud: Building AI-ready file storage ","abstract":"Enterprises store vast amounts of business-critical data on NAS systems, but aging hardware and rising costs are only part of the story. Legacy file storage also locks data away from modern AI workloads. Learn proven strategies for migrating NAS environments to Amazon FSx for NetApp ONTAP, then connecting that data to AWS analytics and AI services, including options like S3 Access Points, Amazon Bedrock, and SageMaker. We cover assessing your NAS estate, executing migrations with minimal disruption, and choosing the right path to unlock your data for modern workloads. You leave with a practical framework for modernizing file storage. ","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025513496001CnE7","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725566527358001SlDY_17746331reinvent2026","displayName":"Luke Miller","name":"Luke Miller","firstName":"Luke","lastName":"Miller","company":"Amazon Web Services"},{"id":"1725408384431001uHfI_17746331reinvent2026","displayName":"Andrew Crudge","name":"Andrew Crudge","firstName":"Andrew","lastName":"Crudge","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon FSx for NetApp ONTAP"},{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Migration & Modernization"},{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780441463644001G7dw","hash":"5c4139dc74e6942443dfb55d52324d8a","shortId":"AIM341","title":"Migrating a Managed Assistant API to Strands Agents SDK","abstract":"As organizations scale AI agent deployments, the gap between managed APIs and production-grade frameworks becomes a migration challenge. This talk describes a large-scale migration from a managed assistant API serving hundreds of agent projects to Strands Agents, selected for its deterministic orchestration, multi-provider portability, and open-source extensibility. The migration replaced three subsystems (orchestration, conversation persistence, and observability) while preserving all existing tool implementations. This session details the architectural decisions, backward-compatible tool migration, security constraints for production deployment, and evaluation methodology that validated quality parity. These patterns generalize to any organization migrating from managed AI APIs to open-source agent frameworks.","startDateTime":"2026-12-03T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025529613001CO4Z","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1761102807737001Cm6a_17746331reinvent2026","displayName":"Ryan Coleman","name":"Ryan Coleman","firstName":"Ryan","lastName":"Coleman","company":"Amazon Web Services"},{"id":"1790612015603001eE2J_17746331reinvent2026","displayName":"Dharamendra Kumar","name":"Dharamendra Kumar","firstName":"Dharamendra","lastName":"Kumar","company":"Netflix"},{"id":"1790612015469001e6V8_17746331reinvent2026","displayName":"Kyle Ahn","name":"Kyle Ahn","firstName":"Kyle","lastName":"Ahn","company":"Netflix"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780442252333001cSFa","hash":"3cea3f65383ce7d53315327d460570c0","shortId":"STG355","title":"Migrating petabytes of data: Real-world strategies with AWS DataSync","abstract":"Learn how to plan, build, and implement the migration of 10 petabytes of on-premises data with AWS DataSync. Through interactive discussion and whiteboarding, explore effective approaches for data categorization and creating transfer job manifests that map directly to cost-optimized S3 storage classes. Discover how this data migration architecture accelerates the migration of client data to Amazon FSx for NetApp ONTAP. 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Structured outputs in Amazon Bedrock compiles a JSON Schema into a grammar and enforces it during decoding so every token the model emits is a valid position in the schema. In this code talk, we live-code defense schemas for sentiment analysis, intent classification, and SQL validation, then attack them with real injection payloads. We cover provider differences between Claude and open-weight models, strict tool use for agentic workflows, and how to combine grammar enforcement with input validation for defense in depth.","startDateTime":"2026-12-03T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790033113179001qcdf","lastModified":"2026-11-05T23:21:11Z","speakers":[{"id":"1787937191034001G8nj_17746331reinvent2026","displayName":"Aswath Ram A Srinivasan","name":"Aswath Ram A Srinivasan","firstName":"Aswath","lastName":"Ram A Srinivasan","company":"Amazon Web Services"},{"id":"1738635959219001VyzY_17746331reinvent2026","displayName":"Mac Stevens","name":"Mac Stevens","firstName":"Mac","lastName":"Stevens","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":60},{"id":"1780441468446001GOmH","hash":"c13361887b5807b18d61f154031db36e","shortId":"CON409","title":"ML, automotive, and robotics simulations at scale on AWS Batch","abstract":"Simulation and ML workloads share a hard problem: they must burst to enormous scale, run to completion reliably, and do it without a standing fleet draining budget between runs. 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This session examines how we model preference across two regimes: pairwise battles, arena-style voting ranked through Bradley-Terry, and agentic systems, where preference spans long-horizon, multi-step, tool-using tasks. Reward models and LLM-as-judge are themselves learned preference models; from our experience at Amazon, we examine when to trust them and how to separate progress from preference-overfitting. 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In this hands-on session, you'll take a legacy BSS billing system and modernize it using AWS Transform Custom. Start by analyzing the codebase to understand business logic, dependencies, and technical debt. Then apply a built-in catalog transformation to upgrade the language and framework instantly. Next, define your own custom transformation in natural language to convert legacy interfaces to modern APIs. Validate, test for functional equivalence, and deploy to AWS. Walk away with a running modernized app and reusable transformation recipes, plus hands-on experience modernizing real-world telecom applications.","startDateTime":"2026-12-03T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025530851001CXtR","lastModified":"2026-11-04T01:37:32Z","speakers":[{"id":"1726762311455001CjTZ_17746331reinvent2026","displayName":"Efrat Nir-Berger","name":"Efrat Nir-Berger","firstName":"Efrat","lastName":"Nir-Berger","company":"Amazon Web Services (AWS)"},{"id":"1736366021991001tPhM_17746331reinvent2026","displayName":"Anil Maheshwari","name":"Anil Maheshwari","firstName":"Anil","lastName":"Maheshwari","company":"Amazon Web Services"},{"id":"1756397037297001xOu2_17746331reinvent2026","displayName":"Rabindra Shakya","name":"Rabindra Shakya","firstName":"Rabindra","lastName":"Shakya","company":"Amazon"},{"id":"1726012421277001g3EP_17746331reinvent2026","displayName":"Guy Ben-Baruch","name":"Guy Ben-Baruch","firstName":"Guy","lastName":"Ben-Baruch","company":"AWS"},{"id":"1756397037499001xFF8_17746331reinvent2026","displayName":"Albeda Siddique","name":"Albeda Siddique","firstName":"Albeda","lastName":"Siddique","company":"Amazon (AWS)"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Builders' Session 2","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Transform"}],"topics":[{"id":"Topic","displayName":"Migration & Modernization"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[{"id":"Industry","displayName":"Telecommunications"}],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780442226249001czjJ","hash":"52510455d9178521dff10fdce01a971b","shortId":"CON314","title":"Modernize and containerize legacy apps to Amazon ECS with AWS Transform","abstract":"Your application runs on an old Java runtime with outdated dependencies. You know it belongs in containers but the upgrade path feels daunting. In this builders session, take a legacy monolithic application and use AWS Transform to identify blockers, upgrade dependencies, generate multi-stage Dockerfiles, build and scan container images for vulnerabilities, and deploy to Amazon ECS with AWS Fargate. See how the agent handles multi-repo applications and validates containers before production. Walk through the full lifecycle without writing a single Dockerfile by hand. 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It doesn't tell you what breaks when you do. Runtime dependencies, real traffic patterns, and operational risk stay invisible until cutover, when surprises are most expensive. AWS DevOps Agent adds the missing ingredient: production intelligence fed directly into your AWS Transform modernization plan. The result is assessments grounded in reality and migrations that stay safe through execution. In this chalk talk, we discuss how to incorporate production intelligence from DevOps Agent into an automated migration pipeline by Transform Custom. 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We show how to reverse-engineer your applications and dependencies from existing code, then generate a event-driven cloud native target architecture. 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Laptop required.","startDateTime":"2026-11-30T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-11-30T19:30:00.000Z","endDateTime":"2026-11-30T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025481655001Cnv4","lastModified":"2026-11-03T20:06:08Z","speakers":[{"id":"1770349472753001ETPs_17746331reinvent2026","displayName":"Subramanian (Subu) Karuppiah","name":"Subramanian (Subu) Karuppiah","firstName":"Subramanian (Subu)","lastName":"Karuppiah","company":"AWS"},{"id":"1738326956082001W2uD_17746331reinvent2026","displayName":"Rene Simoes","name":"Rene Simoes","firstName":"Rene","lastName":"Simoes","company":"Amazon Web Services"},{"id":"1770348200832001EbE2_17746331reinvent2026","displayName":"Ramachadra Desaraj","name":"Ramachadra Desaraj","firstName":"Ramachadra","lastName":"Desaraj","company":"AWS"},{"id":"1731482215717001FovE_17746331reinvent2026","displayName":"Pablo Alonso Prieto","name":"Pablo Alonso Prieto","firstName":"Pablo","lastName":"Alonso Prieto","company":"AWS"},{"id":"1739319337690001QhSt_17746331reinvent2026","displayName":"Sourav Sarkar","name":"Sourav Sarkar","firstName":"Sourav","lastName":"Sarkar","company":"Amazon Web Services (AWS)"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Transform"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1790358239823001ib8I","shortId":"MAM309-R1","startDateTime":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T21:00:00.000Z","startTime":"12:00","endTime":"13:00","day":"Tuesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1784231862334001EC9a","hash":"b5040842ef4586289baa46bce18ed90c","shortId":"TNC315-R","title":"Modernize .NET Applications with AWS Transform and Kiro","abstract":"Legacy .NET Framework applications tied to Windows limit your deployment options and increase operational costs. In this lab, you use AWS Transform for .NET in Interactive Mode to automatically port a .NET Framework 4.8 Web Forms application to .NET 10 Blazor application. You review the AWS Transform generated assessment report and migration plan, accept the automated transformation, then use Kiro to identify and fix the residual runtime issue that remains after the port. ","startDateTime":"2026-12-01T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-01T18:00:00.000Z","endDateTime":"2026-12-01T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790204375930001gKHa","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1770745798293001bm3L_17746331reinvent2026","displayName":"Clayton Markos","name":"Clayton Markos","firstName":"Clayton","lastName":"Markos","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Lab"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Transform"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":136,"repeats":[{"id":"1789063701107001ou1k","shortId":"TNC315-R1","startDateTime":"2026-12-03T16:00:00.000Z","endDateTime":"2026-12-03T17:30:00.000Z","startTime":"08:00","endTime":"09:30","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1789063701107001ou1k","hash":"058536cbe31a4bd2d000cf47a71460a0","shortId":"TNC315-R1","title":"Modernize .NET Applications with AWS Transform and Kiro","abstract":"Legacy .NET Framework applications tied to Windows limit your deployment options and increase operational costs. In this lab, you use AWS Transform for .NET in Interactive Mode to automatically port a .NET Framework 4.8 Web Forms application to .NET 10 Blazor application. 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Agentic AI offers a better path: replacing point-to-point integrations with agents that reason across applications. In this workshop, you modernize an SAP-centric business process by orchestrating Amazon Bedrock AgentCore agents over Model Context Protocol, including the AWS for SAP MCP Server. You implement cross-application use cases spanning finance, supply chain, and operations then leave with a deployable reference architecture for moving from custom integrations to agent-orchestrated workflows.","startDateTime":"2026-12-01T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-12-01T23:30:00.000Z","endDateTime":"2026-12-02T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025508553001CCKC","lastModified":"2026-11-02T19:35:31Z","speakers":[{"id":"1736670434883001y6FV_17746331reinvent2026","displayName":"Shirli Cohen","name":"Shirli Cohen","firstName":"Shirli","lastName":"Cohen","company":"Amazon"},{"id":"1739344990197001WmIO_17746331reinvent2026","displayName":"Stephan Kremer","name":"Stephan Kremer","firstName":"Stephan","lastName":"Kremer","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon EC2 - Graviton"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"SAP"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":112},{"id":"1780441483724001GLNR","hash":"b3597e9c4e9d03de7d038ab5ab6a417e","shortId":"AIM246-S","title":"Modernize the data layer, then scale the AI: A Cisco Case Study (sponsored by MongoDB)","abstract":"Enterprise AI agents depend on applications running on data layers built for a different era. So, how do enterprises modernize applications at scale?\n\nCisco migrated a workflow automation platform running tens of millions of workflows a month—and the AI support assistant built on it—to MongoDB on Amazon EKS without disrupting live operations. The assistant has since resolved 1M+ support cases on its own and is on track to handle most of Cisco’s support volume.\n\nDiscover:\n• Modernization patterns MongoDB sees across enterprises on AWS, from tool-assisted migration to targeted rewrites, and how to choose between them\n• How Cisco’s distinguished engineer sequenced the migration and what had to change in the data model\n• What the AI assistant can do now that it couldn’t before\n\nLeave with a practical checklist for planning a modernization that supports AI and agentic workloads. This presentation is brought to you by MongoDB, an AWS Partner.","startDateTime":"2026-12-01T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-01T22:30:00.000Z","endDateTime":"2026-12-01T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790034530742001pvHC","lastModified":"2026-11-06T01:41:08Z","speakers":[{"id":"1793117094327001bc14_17746331reinvent2026","displayName":"Rajiv Papneja","name":"Rajiv Papneja","firstName":"Rajiv","lastName":"Papneja","company":"MongoDB"},{"id":"1762457584070001iEZy_17746331reinvent2026","displayName":"Srikrishna Srinivasan","name":"Srikrishna Srinivasan","firstName":"Srikrishna","lastName":"Srinivasan","company":"T-Mobile"},{"id":"1792786660688001zZ8A_17746331reinvent2026","displayName":"Mohammed Hamzeh","name":"Mohammed Hamzeh","firstName":"Mohammed","lastName":"Hamzeh","company":"Cisco Systems"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Red Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Databases"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Tech for Impact"}],"industry":[],"role":[{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780442282058001c2zp","hash":"f50f453b30b07370a59ccf7cec39aa6d","shortId":"MAM406","title":"Modernize Windows to Linux and SQL to PostgreSQL with agentic AI","abstract":"Moving workloads from Windows to Linux and SQL Server to PostgreSQL has always been a complex, multi-step project. Agentic AI changes the game by orchestrating the entire journey for you. In this expert-level workshop, you'll start with on-premises Windows Server workloads in a simulated data center and migrate to Amazon EC2 covering agent installation, continuous replication, and cutover. Then you'll modernize by upgrading SQL Server to PostgreSQL and migrating PHP to Amazon EKS, applying replatforming patterns in practice. You'll leave with end-to-end experience executing OS and database modernization, accelerated by agentic AI. Laptop required.","startDateTime":"2026-12-03T20:30:00.000Z","startTime":"12:30","startTimeFormatted":"2026-12-03T20:30:00.000Z","endDateTime":"2026-12-03T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025542732001C9Ma","lastModified":"2026-11-04T00:24:39Z","speakers":[{"id":"1725547299294001Dyb7_17746331reinvent2026","displayName":"Aidan Keane","name":"Aidan Keane","firstName":"Aidan","lastName":"Keane","company":"AWS"},{"id":"1726847029856001dh7j_17746331reinvent2026","displayName":"Gianpaolo (GP) Albanese","name":"Gianpaolo (GP) Albanese","firstName":"Gianpaolo (GP)","lastName":"Albanese","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"AWS Transform"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Databases"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Microsoft & .NET"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":150},{"id":"1790358217584001iaXn","hash":"7b0280aead91084a3c6e9f8b3e6ca843","shortId":"DVT305-R1","title":"Modernize your CI/CD pipeline with AWS","abstract":"In this workshop, build modern CI/CD pipelines using AWS CodePipeline through the AWS Management Console. 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To best care for patients, most of whom rely on Medicare or Medicaid, Montefiore needed to modernize its enterprise technology. Montefiore selected AWS as its strategic cloud provider to build a secure, scalable, and resilient foundation that strengthens security and optimizes costs. This session explores how the transformation—including an Epic migration—enables AI-powered clinical decision support, improves the reliability of critical medical records, and expands patient access through Amazon One Medical. Learn the strategies, lessons, and cloud-first approach driving better outcomes for the patients and communities Montefiore serves. 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Everyone is racing to build agents, but no one is governing them. MontyCloud is an AI-native, autonomous CloudOps platform built on one conviction. As agents become easy to create, value moves to trusted execution. Walk away with a blueprint for turning insights into governed workflows, and governed workflows into trusted outcomes. See a live demo where any agent, model, or tool acts only with the right context, identity, policy, approvals, and cost controls. Learn why the unit of value is the governed workflow. 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The hard question is who decides what happens next: a central orchestrator or the agents themselves. In this session, you deploy the same five-agent travel booking pipeline through both orchestration (Step Functions) and choreography (EventBridge). Run identical load tests, inject the same failures, and add a sixth agent to each. Measure blast radius, extensibility cost, and debugging speed to see where the two approaches diverge. Leave knowing when to orchestrate, when to choreograph, and how to combine both in one architecture. Bring your laptop to participate.","startDateTime":"2026-12-02T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790360381221001ANDV","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1724263183816001LXCw_17746331reinvent2026","displayName":"Dimple Dhar","name":"Dimple Dhar","firstName":"Dimple","lastName":"Dhar","company":"Amazon Web Services"},{"id":"1725408313702001u2Aq_17746331reinvent2026","displayName":"Archana Ambavane","name":"Archana Ambavane","firstName":"Archana","lastName":"Ambavane","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon EventBridge"},{"id":"Services","displayName":"AWS Step Functions"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140,"repeats":[{"id":"1780442275038001cEiK","shortId":"ARC312-R","startDateTime":"2026-11-30T20:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","startTime":"12:00","endTime":"14:00","day":"Monday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442275038001cEiK","hash":"12eef901d28903da2da13d0eb4eae31e","shortId":"ARC312-R","title":"Multi-agent AI: Orchestration and choreography, compared","abstract":"Every multi-agent AI system needs a coordination layer. The hard question is who decides what happens next: a central orchestrator or the agents themselves. In this session, you deploy the same five-agent travel booking pipeline through both orchestration (Step Functions) and choreography (EventBridge). Run identical load tests, inject the same failures, and add a sixth agent to each. Measure blast radius, extensibility cost, and debugging speed to see where the two approaches diverge. Leave knowing when to orchestrate, when to choreograph, and how to combine both in one architecture. Bring your laptop to participate.","startDateTime":"2026-11-30T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-11-30T20:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790033111948001qasS","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1724263183816001LXCw_17746331reinvent2026","displayName":"Dimple Dhar","name":"Dimple Dhar","firstName":"Dimple","lastName":"Dhar","company":"Amazon Web Services"},{"id":"1725408313702001u2Aq_17746331reinvent2026","displayName":"Archana Ambavane","name":"Archana Ambavane","firstName":"Archana","lastName":"Ambavane","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon EventBridge"},{"id":"Services","displayName":"AWS Step Functions"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140,"repeats":[{"id":"1790358227471001iatu","shortId":"ARC312-R1","startDateTime":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","startTime":"15:00","endTime":"17:00","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358257202001iv2N","hash":"ee54dc6889fe820860221212344d26c8","shortId":"IND315-R1","title":"Multi-Agent Operations for Broadcast & Streaming","abstract":"When live or streaming video breaks, every second costs revenue and audience trust. This session shows how to build coordinated AI agents using Amazon Bedrock AgentCore and the Strands SDK that ingest observability data from AWS Media Services and partners, reason across signal domains, and accelerate root cause identification. Walk away with an architecture for agentic operations that turns reactive troubleshooting into proactive resolution.","startDateTime":"2026-12-01T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790360364423001ABnl","lastModified":"2026-11-05T18:52:48Z","speakers":[{"id":"1740685603115001FCjY_17746331reinvent2026","displayName":"Osmar Bento Junior","name":"Osmar Bento Junior","firstName":"Osmar","lastName":"Bento Junior","company":"Amazon Web Services"},{"id":"1726012427368001g98j_17746331reinvent2026","displayName":"Bryan Samis","name":"Bryan Samis","firstName":"Bryan","lastName":"Samis","company":"AWS"}],"venueRoomName":"Level 1 | Alliance 314","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon CloudFront"},{"id":"Services","displayName":"AWS Elemental MediaLive"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Media & Entertainment"}],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1780441500857001GOI5","shortId":"IND315-R","startDateTime":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","startTime":"13:00","endTime":"14:00","day":"Thursday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Academy 417"}]},{"id":"1780441500857001GOI5","hash":"1a4402f90e868f3f6d716e88603ac9eb","shortId":"IND315-R","title":"Multi-Agent Operations for Broadcast & Streaming","abstract":"When live or streaming video breaks, every second costs revenue and audience trust. This session shows how to build coordinated AI agents using Amazon Bedrock AgentCore and the Strands SDK that ingest observability data from AWS Media Services and partners, reason across signal domains, and accelerate root cause identification. Walk away with an architecture for agentic operations that turns reactive troubleshooting into proactive resolution.","startDateTime":"2026-12-03T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025543554001C1Kn","lastModified":"2026-11-05T18:52:48Z","speakers":[{"id":"1740685603115001FCjY_17746331reinvent2026","displayName":"Osmar Bento Junior","name":"Osmar Bento Junior","firstName":"Osmar","lastName":"Bento Junior","company":"Amazon Web Services"},{"id":"1726012427368001g98j_17746331reinvent2026","displayName":"Bryan Samis","name":"Bryan Samis","firstName":"Bryan","lastName":"Samis","company":"AWS"}],"venueRoomName":"Level 1 | Academy 417","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon CloudFront"},{"id":"Services","displayName":"AWS Elemental MediaLive"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Media & Entertainment"}],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1790358257202001iv2N","shortId":"IND315-R1","startDateTime":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T21:00:00.000Z","startTime":"12:00","endTime":"13:00","day":"Tuesday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Alliance 314"}]},{"id":"1780441482993001G0TR","hash":"ff7c5c04780bb37f27a8746201818944","shortId":"DAT101-S","title":"Multicloud in the Real World: Financial Services, Healthcare, and Retail","abstract":"Oracle AI Database@AWS gives organizations a new way to bring mission-critical Oracle data closer to their applications, analytics, and AI services in AWS. This session shares a clear overview of the multicloud value proposition, including application proximity, operational simplicity, enterprise performance, security, and access to AWS services. Hear how financial institutions can strengthen fraud detection, risk management, and customer experiences; how healthcare organizations can generate trusted clinical and operational insights; and how manufacturers can improve forecasting, supply chain decisions, asset performance, and operational efficiency. Leave with a practical understanding of Oracle AI Database@AWS and concrete examples of how multicloud can support industry-specific AI and business outcomes. This presentation is brought to you by Oracle, an AWS Partner.","startDateTime":"2026-12-02T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790034533982001pdCr","lastModified":"2026-11-05T21:05:55Z","speakers":[{"id":"1730138080310001al4q_17746331reinvent2026","displayName":"Edwin Upson","name":"Edwin Upson","firstName":"Edwin","lastName":"Upson","company":"Oracle"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Purple Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[{"id":"Services","displayName":"Oracle Database@AWS"}],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Business Intelligence"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Customer Enablement"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780441473347001G7EU","hash":"9c70cc693cb1880d7aa777d474b1108a","shortId":"HMC321","title":"Multicloud Operating Models for ISVs","abstract":"ISVs adopting multiple clouds face the same trade-offs. This breakout distills cloud-agnostic operating-model patterns from production multi-cloud estates -- workload placement, abstraction layers, resiliency, and FinOps (optimization, tokenization), and unified observability -- illustrated by SAP running at 25,000+ accounts across AWS, Azure, and GCP. SAP's team walks through what stayed cloud-specific, what they unified, and what they had to invent. Leave with operating-model patterns you can apply across clouds.","startDateTime":"2026-11-30T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-11-30T19:30:00.000Z","endDateTime":"2026-11-30T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1791240088137001SMIc","lastModified":"2026-11-05T19:49:28Z","speakers":[{"id":"1737971100754001RbTA_17746331reinvent2026","displayName":"Joachim Aumann","name":"Joachim Aumann","firstName":"Joachim","lastName":"Aumann","company":"AWS"},{"id":"1728431503191001H0zu_17746331reinvent2026","displayName":"Dave Smith","name":"Dave Smith","firstName":"Dave","lastName":"Smith","company":"SAP Global Cloud Operations"},{"id":"1731456177453001LHUu_17746331reinvent2026","displayName":"Olga Calvo","name":"Olga Calvo","firstName":"Olga","lastName":"Calvo","company":"AWS"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Purple Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780442265460001cyAx","hash":"48b4f440828c879a570605092b8f2690","shortId":"SEC203","title":"Multi-cloud security with AWS security services","abstract":"Many organizations do not operate in a single cloud provider, creating the need for security solutions that cover multiple providers. In this lightning talk, see how AWS security services deliver unified multicloud security across AWS, Azure, and GCP environments. From posture management and vulnerability detection to risk correlation and asset visibility, learn how security teams can gain a consolidated view and respond to risks across their entire cloud estate.","startDateTime":"2026-12-03T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T18:50:00.000Z","endTime":"10:50","sessionTimeId":"1790033111285001q1IX","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408458233001u9V5_17746331reinvent2026","displayName":"Anthony Verleysen","name":"Anthony Verleysen","firstName":"Anthony","lastName":"Verleysen","company":"AWS"},{"id":"1725408478395001ukOl_17746331reinvent2026","displayName":"Scott Ward","name":"Scott Ward","firstName":"Scott","lastName":"Ward","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"AWS Security Hub"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1786823307680001leci","hash":"fc09cc01bcfdd695e3545b37a7dfd09e","shortId":"MAM226","title":"Multicloud-to-AWS transformation: HealthEdge migrating 8,700 servers","abstract":"Running workloads across multiple clouds and on-premises data centers creates compounding complexity: inconsistent tooling, duplicated licensing costs, and operational overhead that slows everything down. HealthEdge faced exactly this across Azure, GCP, and four data centers while serving 130 health plans daily, where security is paramount. Hear how they're consolidating 8,700 servers via AWS Transform, 1,600 databases, and thousands of cloud services onto AWS on a 2-year roadmap, raising their security bar, and building internal AWS expertise to drive a lasting culture change - all without disrupting the plans that depend on them.","startDateTime":"2026-12-01T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025505627001CBJ2","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1787636412460001rKwW_17746331reinvent2026","displayName":"Ryan Mooney","name":"Ryan Mooney","firstName":"Ryan","lastName":"Mooney","company":"HealthEdge Software, Inc."},{"id":"1727043539883001KuqQ_17746331reinvent2026","displayName":"Ben Goulding","name":"Ben Goulding","firstName":"Ben","lastName":"Goulding","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":212},{"id":"1780442233945001c37W","hash":"52eb84ab691cf0e7a17dd9846b295e68","shortId":"ARC321","title":"Multi-Region hedging: Where it works and where it breaks","abstract":"Failover recovers after impairment; hedging survives it. This chalk talk examines where multi-Region hedging holds and where it breaks. We trace hedging across the stack: racing requests through Route 53 ARC and Elastic Load Balancing, containing blast radius with cell-based routing, and confronting the write path, where Aurora Global Database's asynchronous replication surfaces a consistency-versus-continuity trade-off that routing alone cannot resolve. Bring your availability-critical workload; we'll map its hedgeable read and routing paths against those that force an explicit consistency decision.\n","startDateTime":"2026-12-03T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-03T21:30:00.000Z","endDateTime":"2026-12-03T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025545020001CXZa","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1758084685045001stso_17746331reinvent2026","displayName":"Enrique Bastante","name":"Enrique Bastante","firstName":"Enrique","lastName":"Bastante","company":"AWS"},{"id":"1770347836016001p2XG_17746331reinvent2026","displayName":"Nick Dobson","name":"Nick Dobson","firstName":"Nick","lastName":"Dobson","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Aurora"},{"id":"Services","displayName":"Amazon Route 53"},{"id":"Services","displayName":"Elastic Load Balancing (ELB)"}],"topics":[{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Resilience"},{"id":"AreaofInterest","displayName":"Well-Architected Framework"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780442278823001cpuQ","hash":"d07ac3a41a2e3229a88a8d2f0ee866c7","shortId":"DAT429","title":"Multi-tenant agentic AI with Aurora and DynamoDB","abstract":"AI agents are autonomous, stateful, and capable of invoking external tools. In a multi-tenant SaaS system, every one of those capabilities is a potential data isolation failure. In this workshop, build a complete multi-tenant agentic AI solution enforcing tenant isolation across Amazon Aurora PostgreSQL with row-level security, Amazon DynamoDB, and Amazon S3 Vectors. Implement tenant-scoped vector stores for RAG, agent memory backed by multiple database engines, MCP-based tool authorization gated by subscription tier, and usage metering. Leave with a working reference architecture that prevents cross-tenant data leakage. Bring a laptop to participate.","startDateTime":"2026-12-02T16:00:00.000Z","startTime":"08:00","startTimeFormatted":"2026-12-02T16:00:00.000Z","endDateTime":"2026-12-02T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025511529001Coy4","lastModified":"2026-11-06T15:34:08Z","speakers":[{"id":"1725408290175001uXGQ_17746331reinvent2026","displayName":"David Gardner","name":"David Gardner","firstName":"David","lastName":"Gardner","company":"AWS"},{"id":"1724225161104001ySvw_17746331reinvent2026","displayName":"Arjan Schaaf","name":"Arjan Schaaf","firstName":"Arjan","lastName":"Schaaf","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Aurora"},{"id":"Services","displayName":"Amazon DynamoDB"},{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"SaaS"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":84},{"id":"1780441480069001Gm7U","hash":"aff25f92733ca6fa91a2b3d433007704","shortId":"PEX301","title":"Multi-Tenant Agentic Platforms: A Scalable Reference Architecture","abstract":"SaaS is going AI-native. ISVs must orchestrate third-party agents at scale. This session presents a multi-tenant architecture covering MCP, A2A, and AgentCore for orchestration, entitlement-based monetization, secure token exchange, agent lifecycle via Agent Registry, and cross-tenant observability.","startDateTime":"2026-12-01T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025505142001CWpg","lastModified":"2026-11-06T01:28:59Z","speakers":[{"id":"1728878570142001MEaj_17746331reinvent2026","displayName":"Rahul Sharma","name":"Rahul Sharma","firstName":"Rahul","lastName":"Sharma","company":"SourceFuse Technology"},{"id":"1725408484362001u4LT_17746331reinvent2026","displayName":"Ranjith Raman","name":"Ranjith Raman","firstName":"Ranjith","lastName":"Raman","company":"AWS"},{"id":"1725408316999001u3FF_17746331reinvent2026","displayName":"Ujwal Bukka","name":"Ujwal Bukka","firstName":"Ujwal","lastName":"Bukka","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Marketplace"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"SaaS"},{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1786043770068001qnHC","hash":"9ef39a3879330151fe067fb90573f320","shortId":"CON343","title":"Multi-tenant compute modernization with Amazon EMR on EKS ","abstract":"What does it take to run millions of diverse jobs a day across many tenants without costs spiraling or one bad workload taking down the fleet? In this chalk talk, we explore how organizations modernize a multi-tenant compute layer on EMR on EKS to serve batch analytics, streaming and ML workloads on Spark from one platform. We whiteboard the choices that make it possible: bin packing to mix heterogeneous tenant workloads efficiently, EKS provisioned control planes to sustain high job throughput per cluster, and Graviton to drive down cost per job. Bring your scaling challenges and we’ll design solutions together","startDateTime":"2026-12-02T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-02T21:00:00.000Z","endDateTime":"2026-12-02T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025522590001C1oh","lastModified":"2026-11-04T21:37:45Z","speakers":[{"id":"1758905079330001J6kr_17746331reinvent2026","displayName":"Ifetayo Stewart","name":"Ifetayo Stewart","firstName":"Ifetayo","lastName":"Stewart","company":"Amazon Web Services"},{"id":"1764607999994001SExx_17746331reinvent2026","displayName":"Akshara Shah","name":"Akshara Shah","firstName":"Akshara","lastName":"Shah","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Academy 417","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"Amazon EMR"}],"topics":[{"id":"Topic","displayName":"Migration & Modernization"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Kubernetes"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1786043769700001qr5E","hash":"c21e51dda181837cff60bcd7047e0bc8","shortId":"SEC430-R","title":"Multi-tenant isolation with IAM: ABAC, session tags, and token vending machines","abstract":"Multi-tenant SaaS has two isolation options: application-layer filtering or IAM enforcement. Filtering requires every query and API call to add tenant scoping — one missed filter leaks data. IAM enforcement holds even when code has a bug, and Attribute-Based Access Control (ABAC) makes it work without per-tenant policy explosion. We cover the stack: ABAC session tags, a Token Vending Machine minting tenant-scoped STS credentials, IAM condition keys for DynamoDB/S3 partition boundaries, and a credential-caching model that keeps latency acceptable at millions of requests per second across thousands of tenants. Leave with a deployable reference architecture and policy template.","startDateTime":"2026-12-03T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025536412001CbMR","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1728493739481001RhxB_17746331reinvent2026","displayName":"Nicholas Tunney","name":"Nicholas Tunney","firstName":"Nicholas","lastName":"Tunney","company":"AWS"},{"id":"1725408316313001upyO_17746331reinvent2026","displayName":"Dave Roberts","name":"Dave Roberts","firstName":"Dave","lastName":"Roberts","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon DynamoDB"},{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"},{"id":"Services","displayName":"AWS Security Token Service (AWS STS)"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1790358227852001iPKc","shortId":"SEC430-R1","startDateTime":"2026-12-02T18:30:00.000Z","endDateTime":"2026-12-02T19:30:00.000Z","startTime":"10:30","endTime":"11:30","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358227852001iPKc","hash":"d2de19bdfb3e7aee9955ef72feb23aa6","shortId":"SEC430-R1","title":"Multi-tenant isolation with IAM: ABAC, session tags, and token vending machines","abstract":"Multi-tenant SaaS has two isolation options: application-layer filtering or IAM enforcement. Filtering requires every query and API call to add tenant scoping — one missed filter leaks data. IAM enforcement holds even when code has a bug, and Attribute-Based Access Control (ABAC) makes it work without per-tenant policy explosion. We cover the stack: ABAC session tags, a Token Vending Machine minting tenant-scoped STS credentials, IAM condition keys for DynamoDB/S3 partition boundaries, and a credential-caching model that keeps latency acceptable at millions of requests per second across thousands of tenants. Leave with a deployable reference architecture and policy template.","startDateTime":"2026-12-02T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-02T18:30:00.000Z","endDateTime":"2026-12-02T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790360376597001AiPL","lastModified":"2026-11-04T22:12:34Z","speakers":[{"id":"1728493739481001RhxB_17746331reinvent2026","displayName":"Nicholas Tunney","name":"Nicholas Tunney","firstName":"Nicholas","lastName":"Tunney","company":"AWS"},{"id":"1725408316313001upyO_17746331reinvent2026","displayName":"Dave Roberts","name":"Dave Roberts","firstName":"Dave","lastName":"Roberts","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon DynamoDB"},{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"},{"id":"Services","displayName":"AWS Security Token Service (AWS STS)"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":98,"repeats":[{"id":"1786043769700001qr5E","shortId":"SEC430-R","startDateTime":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","startTime":"10:00","endTime":"11:00","day":"Thursday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1786043770139001qLoo","hash":"2c0a188a7dddfb1898131792a5cde1d0","shortId":"CON344-R","title":"Multi-tenant SaaS and agentic apps on Amazon EKS","abstract":"Amazon EKS has become the runtime of choice for ISVs building agentic SaaS, offering the control, workload isolation, and networking flexibility that managed runtimes cannot. The challenge is multi-tenancy: how do you run agent workloads for hundreds of tenants on shared infrastructure without blast radius, cost leakage, or isolation drift? In this workshop, build a multi-tenant agent deployment on EKS with tenant isolation across namespaces and network policies, IRSA-backed credentials per agent workload, and per-tenant observability via OpenTelemetry. Each lab ends with an isolation proof. Leave with a reference architecture you can apply directly to your cluster.","startDateTime":"2026-12-01T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025503154001CPor","lastModified":"2026-11-02T19:35:31Z","speakers":[{"id":"1740444015687001avIF_17746331reinvent2026","displayName":"Kunal Ghosh","name":"Kunal Ghosh","firstName":"Kunal","lastName":"Ghosh","company":"Amazon Web Services"},{"id":"1730233507871001OcJM_17746331reinvent2026","displayName":"Abraham Arellano","name":"Abraham Arellano","firstName":"Abraham","lastName":"Arellano","company":"AWS"}],"venueRoomName":"Level 1 | Alliance 307","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Tuesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140},{"id":"1780441475825001GL0i","hash":"e1fa81bdc8856358a634d356b3428c16","shortId":"IND3343","title":"NatWest: Embedding AI agents into the software delivery lifecycle","abstract":"AI is moving beyond code completion to reshape how software is built. In this session, learn how NatWest, one of the UK's largest banks, uses Kiro and agentic AI to accelerate design, development, and delivery across its engineering organization. NatWest will share how it embeds AI into everyday engineering while meeting the demands of a highly regulated environment, from security and compliance guardrails to identity and access integration and governance. Explore how the team measures developer productivity and reinvents its delivery workflows. You’ll learn how to bring agentic development to your own engineering teams.","startDateTime":"2026-12-04T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-04T16:30:00.000Z","endDateTime":"2026-12-04T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1791231593587001bknD","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1762510705798001rKnb_17746331reinvent2026","displayName":"Rafael Mosca","name":"Rafael Mosca","firstName":"Rafael","lastName":"Mosca","company":"AWS"},{"id":"1749024732659001Ro2B_17746331reinvent2026","displayName":"Diana Kennedy","name":"Diana Kennedy","firstName":"Diana","lastName":"Kennedy","company":"NatWest Group"},{"id":"1786099382166001OMpp_17746331reinvent2026","displayName":"Raj Dasoar","name":"Raj Dasoar","firstName":"Raj","lastName":"Dasoar","company":"NatWest"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Friday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780442250092001cgU9","hash":"f37c9ee800caa8ea97380d3e060fce5c","shortId":"SEC370","title":"Navigating mergers and divestitures across multiple AWS organizations","abstract":"Enterprises go through mergers, face divestitures, and inherit multiple AWS Organizations, each with its own structure and identity provider. Consolidating or separating these environments is complex. This interactive session covers patterns for merging AWS organizations, managing multiple organizations in parallel, and splitting organizations cleanly. You dive into the identity challenge of migrating between Microsoft Entra ID, Google, and Okta when each entity brings its own IdP to AWS. You leave with practical patterns and lessons learned engagements with customers like you.","startDateTime":"2026-12-04T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-04T00:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025551221001CHHa","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726012419480001gKMv_17746331reinvent2026","displayName":"Nivedita Tripathi","name":"Nivedita Tripathi","firstName":"Nivedita","lastName":"Tripathi","company":"Amazon"},{"id":"1725408414938001uDpq_17746331reinvent2026","displayName":"Alex Torres (AWS)","name":"Alex Torres (AWS)","firstName":"Alex","lastName":"Torres (AWS)","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Control Tower"},{"id":"Services","displayName":"AWS IAM Identity Center"},{"id":"Services","displayName":"AWS Organizations"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":75},{"id":"1780442230533001cMnA","hash":"c0552edbbe23805e02037d6206937900","shortId":"SEC406","title":"Navigating the inter-workings of an agentic SOC & threat hunting analyst","abstract":"Security analysts face an expanding attack surface with finite time and attention. In this session, we show how analysts can leverage AI-powered agents to accelerate their core workflows — from automated triage and log correlation to proactive threat hunting across CloudTrail, VPC Flow Logs, and threat intelligence feeds. Walk through real investigation scenarios where AI handles the repetitive evidence gathering while analysts focus on judgment calls: scoping impact, deciding containment actions, and validating findings. You will see how to configure trust boundaries so agents act within your approved scope, how source attribution ensures every AI-surfaced claim traces back to a specific log, and how to evaluate whether the AI is actually making your team faster.","startDateTime":"2026-12-03T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025537739001CB3c","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408480876001uXhk_17746331reinvent2026","displayName":"Moumita Saha","name":"Moumita Saha","firstName":"Moumita","lastName":"Saha","company":"Amazon Web Services"},{"id":"1788452185097001gFGM_17746331reinvent2026","displayName":"Chris Elmore","name":"Chris Elmore","firstName":"Chris","lastName":"Elmore","company":"Amazon Web Services"},{"id":"1740415473325001WkNL_17746331reinvent2026","displayName":"Gopinath Jagadesan","name":"Gopinath Jagadesan","firstName":"Gopinath","lastName":"Jagadesan","company":"Amazon Web Services"},{"id":"1725408413047001u2ow_17746331reinvent2026","displayName":"Michael Leighty","name":"Michael Leighty","firstName":"Michael","lastName":"Leighty","company":"AWS"},{"id":"1744931040052001C67U_17746331reinvent2026","displayName":"Jonathan Nguyen","name":"Jonathan Nguyen","firstName":"Jonathan","lastName":"Nguyen","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Virtual Private Cloud (Amazon VPC)"},{"id":"Services","displayName":"AWS CloudTrail"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780442252897001cx0P","hash":"2fa889f8157141ba530978ae50efeae2","shortId":"STG421","title":"Need for Speed: The journey to high EBS performance on EC2 instances ","abstract":"Achieving consistent, low-latency block storage at cloud scale requires rethinking every layer of the IO stack. In this session, we walk you through the architectural evolution of Amazon EBS, and show how a series of innovations reduced hypervisor overhead, slashed network latency, and enabled higher block storage IOPS and throughput on your EC2 instances. We will also discuss how Nitro enabled specific EBS features such as Instance bandwidth Configuration, Torn Write Protection, and detailed performance statistics via NVMe logs. Bring your questions and leave with an understanding of how EBS delivers high performing block storage for your mission-critical applications. ","startDateTime":"2026-12-01T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-01T00:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025499168001CDEZ","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408324752001uwpL_17746331reinvent2026","displayName":"Kirill Davydychev","name":"Kirill Davydychev","firstName":"Kirill","lastName":"Davydychev","company":"AWS"},{"id":"1764004984563001NlRT_17746331reinvent2026","displayName":"Shyam Rajagopal","name":"Shyam Rajagopal","firstName":"Shyam","lastName":"Rajagopal","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Elastic Block Store (Amazon EBS)"},{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Automation"}],"industry":[],"role":[{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82},{"id":"1786342064270001PBCV","hash":"6affb62685b6d83338164e04468fce93","shortId":"DAT451","title":"Netflix on Aurora PostgreSQL: Operating 40TB+ after fleet migration","abstract":"In this session, learn why Netflix moved workloads from a self-managed, distributed PostgreSQL-compatible database on EC2 to Aurora, and how they operate 40TB+ today. Aurora shared storage eliminated cross-node coordination overhead, delivering up to 75% lower latency. Explore the operational model developed by the platform team, featuring NVMe tiered cache for multi-TB datasets using optimized reads instances, cluster cache management for resilience following failover, query plan management for plan stability, and how PostgreSQL statistics and CloudWatch Database Insights power on-call triage and cost optimization.","startDateTime":"2026-12-03T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-03T20:00:00.000Z","endDateTime":"2026-12-03T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025542303001C9bK","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408338910001uCvc_17746331reinvent2026","displayName":"Grant McAlister","name":"Grant McAlister","firstName":"Grant","lastName":"McAlister","company":"AWS"},{"id":"1790266821423001M4gO_17746331reinvent2026","displayName":"Sabrina Zhao","name":"Sabrina Zhao","firstName":"Sabrina","lastName":"Zhao","company":"Netflix"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Aurora for PostgreSQL"}],"topics":[{"id":"Topic","displayName":"Databases"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Open Data"},{"id":"AreaofInterest","displayName":"Customer Enablement"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":162},{"id":"1780442249959001ci1F","hash":"3984cda2341c479f02881ce43b88c80e","shortId":"SEC431","title":"Network Firewall deployment models: pros, cons, best practices","abstract":"One firewall, many ways to deploy it, and each mode unlocks a different architectural superpower. This session maps your options: distributed, centralized, multi-endpoint, explicit proxy, and the newest firewall modes. Through real architectures, you'll see where each one shines, how they scale, and the patterns that make your network security clean, flexible, and future-ready. Whether you're protecting a single VPC or a global multi-account estate, you'll leave knowing exactly which mode fits your environment and why. 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Today they abandon it, call you, and start explaining from scratch. In this hands-on workshop you build a single unbroken conversation that escalates in richness without losing context. A customer opens chat inside your application. When they stall on a form, the agent co-browses the page and sees the blocking field, then uses agent assist to answer a policy question with cited sources. The conversation carries into an in-app call, context intact, no phone number and no repeated details. Documents are reviewed over screen share, identity is confirmed over video, and because it's a joint application the co-applicant and a product specialist join the same call. 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In this session, the lead scientist behind GuardDuty's detection engine takes you inside the research. Learn how the team designs models for security inference at scale, uses distillation and reinforcement learning to keep detection cost-efficient without sacrificing accuracy, and distinguishes normal from anomalous behavior without using customer data for training. See how these advances translate into expanded coverage, faster detection of sophisticated threats, and deeper investigation workflows. You leave with an understanding of the engineering tradeoffs behind AI-native threat detection at AWS scale and how to operationalize the latest capabilities.","startDateTime":"2026-12-03T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025543829001CVX1","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408483305001u9CL_17746331reinvent2026","displayName":"Baris Coskun","name":"Baris Coskun","firstName":"Baris","lastName":"Coskun","company":"AWS"},{"id":"1724878542627001ypTx_17746331reinvent2026","displayName":"Justin Criswell","name":"Justin Criswell","firstName":"Justin","lastName":"Criswell","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[{"id":"Services","displayName":"Amazon GuardDuty"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780442262723001cYoO","hash":"3a331eae64cfb94329c47b8e8663078a","shortId":"COM201","title":"Nine Seconds to Zero: Protecting AWS from AI Agent Disasters","abstract":"In April 2026, an AI coding agent deleted a company's entire production database in nine seconds, without being asked. The agent was confidently wrong and had the permissions to act on it. In this session, we recreate that incident live using Amazon Bedrock, walk through every failure in the chain, then rebuild the architecture with six hardening layers: Bedrock Guardrails, human approval gates, least-privilege IAM, deletion protection, isolated backups, and real-time monitoring. Walk away with a concrete checklist for designing AI-assisted systems that plan for when the AI is wrong, not just when it performs perfectly.","startDateTime":"2026-12-02T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-12-02T23:30:00.000Z","endDateTime":"2026-12-02T23:50:00.000Z","endTime":"15:50","sessionTimeId":"1791215811652001CCfp","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1781822588702001WIEF_17746331reinvent2026","displayName":"Jasdeep Singh Bhalla","name":"Jasdeep Singh Bhalla","firstName":"Jasdeep","lastName":"Singh Bhalla","company":"GoDaddy"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon DynamoDB"},{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"},{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Advisor / Consultant"},{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1780441494230001Gd50","hash":"1764e36ed75463aaca54f95f7e675216","shortId":"INV516","title":"Nitro Isolation Engine: Formally verifying confidentiality","abstract":"What does it mean, *precisely*, for the data of a virtual machine to be confidential? Answering this question will take us on a journey into low-level systems and high-level mathematics as we unpack this question in the context of the AWS Nitro System, the underlying virtualization platform that powers Amazon EC2. You will discover the low-level hardware and software that isolate virtual machines, our precise mathematical definition of confidentiality, and the methods we use to establish this crucial property for the AWS Nitro Isolation Engine. No background in virtualization systems or formal verification is expected.","startDateTime":"2026-12-03T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-03T21:30:00.000Z","endDateTime":"2026-12-03T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025544687001Co5M","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1759334176172001hFft_17746331reinvent2026","displayName":"Nathan Chong","name":"Nathan Chong","firstName":"Nathan","lastName":"Chong","company":"AWS"},{"id":"1787937077614001G6mL_17746331reinvent2026","displayName":"Dominic Mulligan","name":"Dominic Mulligan","firstName":"Dominic","lastName":"Mulligan","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[{"id":"Services","displayName":"Amazon EC2 - Graviton"}],"topics":[{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780442268078001cXMj","hash":"15c5d51529eda4dcecd9eefbfc4600e6","shortId":"MAM213-S","title":"No Data Left Behind: The AI-Ready Path Through AWS (sponsored by Qlik)","abstract":"Your enterprise data is scattered across SAP, mainframes, databases, and cloud platforms that were never designed to talk to each other — and every AI initiative depends on enabling that communication. This session shows how Qlik and AWS modernize that data without downtime, rewrites, or re-platforming risk: zero-footprint CDC, Qlik Open Lakehouse with Apache Iceberg and Amazon Athena, Spark Structured Streaming on Amazon EMR, and governed data products built for AI. You'll also get a bonus preview of Qlik's Studio AI Assistant on Amazon Bedrock and what's next for agentic workflows. This presentation is brought to you by Qlik, an AWS Partner.","startDateTime":"2026-12-02T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-02T18:30:00.000Z","endDateTime":"2026-12-02T18:50:00.000Z","endTime":"10:50","sessionTimeId":"1790033124448001qvfE","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1753895627026001VzYm_17746331reinvent2026","displayName":"Jason Hall","name":"Jason Hall","firstName":"Jason","lastName":"Hall","company":"QlikTech, Inc."}],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Advisor / Consultant"},{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442272955001cOHL","hash":"dee9e17a27de017dbad3057aedcc660d","shortId":"AIM125-S","title":"No room for error: deploying trusted AI when the stakes are high (sponsored by Monte Carlo)","abstract":"Deploying agents at scale is a major endeavor for any organization; in healthcare, the stakes are especially high. Unpredictable behaviors & unreliable outputs pose a risk to patients, invite scrutiny from regulators, & erode hard-won institutional trust. Regulated industries must balance accuracy alongside their drive to innovate. Barr Moses, co-founder & CEO of Monte Carlo, will delve into this challenging topic with leaders from GE Healthcare. They’ll dissect some of the most difficult failure modes for agents & discuss how reliability practices have to evolve as teams scale agentic workflows in high-stakes environments. Discussed: how AI itself can be turned back on the problem of observing, resolving, and optimizing agents as well as building the guardrails, ownership models, & trust infrastructure that let a highly regulated organization move quickly without compromising on trust. This presentation is brought to you by Monte Carlo, an AWS Partner.","startDateTime":"2026-12-03T19:00:00.000Z","startTime":"11:00","startTimeFormatted":"2026-12-03T19:00:00.000Z","endDateTime":"2026-12-03T19:20:00.000Z","endTime":"11:20","sessionTimeId":"1790033125456001qjax","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1755619539247001wOQc_17746331reinvent2026","displayName":"Brenda Remy","name":"Brenda Remy","firstName":"Brenda","lastName":"Remy","company":"GE HealthCare"},{"id":"1730210079573001VFcc_17746331reinvent2026","displayName":"Barr Moses","name":"Barr Moses","firstName":"Barr","lastName":"Moses","company":"Monte Carlo"}],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780441476373001GKOY","hash":"2899842fd6f06547103a3b63cb90b329","shortId":"IND3327","title":"Northwestern Mutual: Reinventing policy servicing with agentic AI","abstract":"Financial representatives at Northwestern Mutual traditionally logged service requests and waited for back-office resolution. In this session, we'll walk through the production architecture behind this transformation: Amazon Bedrock Agents connected to core insurance systems through the Model Context Protocol, with orchestration and governance controls designed for a regulated environment. We'll cover authorization patterns, auditability, human oversight, and lessons learned moving from proof of concept to production. Representatives now resolve significantly more requests directly—reducing resolution times, improving good-order processing, and driving higher satisfaction, with participants reporting better outcomes for their clients.","startDateTime":"2026-12-02T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1791231222815001ZSjz","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1726755052540001RVn4_17746331reinvent2026","displayName":"Kristopher Pfeiffer","name":"Kristopher Pfeiffer","firstName":"Kristopher","lastName":"Pfeiffer","company":"The Northwestern Mutual Life Insurance Company"},{"id":"1736356320908001YKjq_17746331reinvent2026","displayName":"Andy Hall","name":"Andy Hall","firstName":"Andy","lastName":"Hall","company":"Amazon Web Services"},{"id":"1727220948565001j5gT_17746331reinvent2026","displayName":"Brett Truelove","name":"Brett Truelove","firstName":"Brett","lastName":"Truelove","company":"The Northwestern Mutual Life Insurance Company"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780442283000001ciVs","hash":"bc2065fef44def35eb55f65c969f695a","shortId":"SEC325","title":"Not all bots are bad: building a secure perimeter with AWS WAF","abstract":"Your edge traffic is a mix of customers, AI agents, scrapers, and attackers. Treat them the same and you lose either security or revenue. In this workshop, you turn AWS WAF into a decision layer that classifies traffic in real time and routes it. Legitimate users get a fast lane, suspicious traffic goes to deception environments that waste attackers' time and reveal their intent, and AI agents get their own treatment that opens the door to new ways of charging for access. None of it requires changes to your origin logic.","startDateTime":"2026-12-03T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-03T20:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790033112115001qO87","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1756397094572001x9Tq_17746331reinvent2026","displayName":"Eitav Arditti","name":"Eitav Arditti","firstName":"Eitav","lastName":"Arditti","company":"AWS"},{"id":"1739806010389001KGhr_17746331reinvent2026","displayName":"Manuel Pata","name":"Manuel Pata","firstName":"Manuel","lastName":"Pata","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS WAF"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Edge Computing"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140},{"id":"1780441495472001GS2F","hash":"022e6215c394697a7703fdda03c4e54b","shortId":"INV537","title":"No torque sensors, no problem: learning safe physical interaction for humanoids","abstract":"How do you make a humanoid robot safe to operate alongside people, without the torque sensors? Fauna Robotics Sprout is a humanoid robot that uses a position-command interface, yet it must regulate the forces it exchanges with the world. We show how Sprout learns compliant behavior that approximates classic impedance control, through mechanisms that control force at the joints and in task space. We describe how these controllers are trained and how they enable safer, whole-body interaction.","startDateTime":"2026-12-02T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1791396570926001FuWb","lastModified":"2026-11-06T16:19:39Z","speakers":[{"id":"1791819807985001dNCd_17746331reinvent2026","displayName":"Josh Merel","name":"Josh Merel","firstName":"Josh","lastName":"Merel","company":"Fauna Robotics"}],"venueRoomName":"Level 1 | Alliance 305","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[],"topics":[{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Amazon Builds on AWS"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1780442262851001cpai","hash":"d211b0816d0b175d5b2bdd661210d0e4","shortId":"COM344","title":"Now serverless has servers. What now?","abstract":"I spent years advocating for serverless, but as a CTO, I could not always see a viable path to bring it into certain business scenarios. In this talk, I share what has changed with the new AWS capabilities, why this can change the game for larger companies, and, along the way, I explore the concepts and how these services work in more depth to help us think about architecture with more clarity.","startDateTime":"2026-12-01T02:00:00.000Z","startTime":"18:00","startTimeFormatted":"2026-12-01T02:00:00.000Z","endDateTime":"2026-12-01T02:20:00.000Z","endTime":"18:20","sessionTimeId":"1791216104783001UlNQ","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1719014172359001iI9s_17746331reinvent2026","displayName":"Evandro Pires da Silva","name":"Evandro Pires da Silva","firstName":"Evandro","lastName":"Pires da Silva","company":"evandropires.com.br"}],"venueRoomName":"Level 2 | Hall B | Expo | Builder Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Monday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Container Service (Amazon ECS)"},{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Management & Governance"},{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442249168001crHI","hash":"964fdc8ab194adc12e149f31a7b470b0","shortId":"SEC419","title":"OAuth delegation patterns for AI agents with Amazon Bedrock AgentCore Identity","abstract":"AI agents act on behalf of users and systems, and delegating the right access without over-permissioning is hard. In this chalk talk, we use code examples to work through authorization delegation with Amazon Bedrock AgentCore Identity. We cover the OAuth grant flows that matter for agents, including authorization code for user-delegated access, client credentials for machine-to-machine calls, token exchange for on-behalf-of propagation, and Rich Authorization Requests (RAR) for fine-grained permission scoping. For each flow, you see which agent scenario it fits and when to choose it over the others.","startDateTime":"2026-12-03T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025539413001Cs99","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1725408341131001umYg_17746331reinvent2026","displayName":"Jeff Lombardo","name":"Jeff Lombardo","firstName":"Jeff","lastName":"Lombardo","company":"AWS"},{"id":"1727416734972001o0kW_17746331reinvent2026","displayName":"Fei Yuan","name":"Fei Yuan","firstName":"Fei","lastName":"Yuan","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Bedrock AgentCore"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":96},{"id":"1780441466585001G8tz","hash":"1a9ddb526bb500d4fa93433f079cfb24","shortId":"COP304","title":"Observability and operations in the AI era","abstract":"Generative AI broke the assumptions traditional monitoring was built on, and teams struggle to keep non-deterministic systems predictable, explainable, and affordable. This session opens on that challenge, then shows how the newest observability capabilities give you visibility into model quality, cost, and agent behavior across your AI stack, using traces, spans, and confidence scoring, illustrated with real customer patterns.","startDateTime":"2026-12-02T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-02T00:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025509133001Crpl","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1726340811147001FLaZ_17746331reinvent2026","displayName":"Pratul Chakre","name":"Pratul Chakre","firstName":"Pratul","lastName":"Chakre","company":"Amazon Web Services"},{"id":"1725408387374001uHb6_17746331reinvent2026","displayName":"Andres Silva (AWS)","name":"Andres Silva (AWS)","firstName":"Andres","lastName":"Silva (AWS)","company":"Amazon"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"Amazon Managed Grafana"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":278},{"id":"1780442238885001cFyn","hash":"573a114137a3711cc5639ac5f63fd515","shortId":"CON333","title":"Observability-driven scaling: Teaching EKS clusters to right-size themselves","abstract":"Scaling container workloads reactively by waiting for CPU to spike or pods to crash leaves money on the table and risks user-facing latency. This chalk talk explores observability-driven scaling: using CloudWatch Container Insights, KEDA, and custom metrics pipelines to make Amazon EKS clusters anticipate demand before it arrives. We walk through real architectures where teams replaced reactive HPA with predictive scaling informed by business metrics, reduced over-provisioning by 40%, and cut P99 latency during traffic ramps. Bring your scaling headaches and we'll whiteboard solutions together.","startDateTime":"2026-12-01T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025497629001CM8s","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1727575454198001Xfdu_17746331reinvent2026","displayName":"HC Lo","name":"HC Lo","firstName":"HC","lastName":"Lo","company":"Amazon Web Services"},{"id":"1722632366205001lVK5_17746331reinvent2026","displayName":"Tiago Reichert","name":"Tiago Reichert","firstName":"Tiago","lastName":"Reichert","company":"AWS"}],"venueRoomName":"Level 1 | Academy 409","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"}],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Event-Driven Architecture"},{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Sales / Marketing"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1780442283119001c4cd","hash":"cc0b01618421540e443410fc66247e9a","shortId":"OPN304-R","title":"Observability for AI agents: Strands, OpenTelemetry, and Langfuse","abstract":"You're running AI agents in cloud ops, but can you see inside them? In this hands-on workshop, deploy a Strands Agents SDK agent to Amazon Bedrock AgentCore Runtime, then wire up full observability using Strands' built-in OpenTelemetry instrumentation and Langfuse (open-source) as the backend. Trace every LLM call, tool invocation, and reasoning step. Debug failures, analyze token costs, version prompts, and score output quality — all with open source and open standards.","startDateTime":"2026-12-02T20:30:00.000Z","startTime":"12:30","startTimeFormatted":"2026-12-02T20:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025520720001CZ0P","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1787936979709001GE8s_17746331reinvent2026","displayName":"Smruti Tripathy","name":"Smruti Tripathy","firstName":"Smruti","lastName":"Tripathy","company":"Amazon Web Services"},{"id":"1787936979558001G9Gz_17746331reinvent2026","displayName":"Kien Tran","name":"Kien Tran","firstName":"Kien","lastName":"Tran","company":"Amazon"}],"venueRoomName":"Level 1 | Forum 101","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"Tech Explorer"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140,"repeats":[{"id":"1790358235082001i1or","shortId":"OPN304-R1","startDateTime":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","startTime":"15:00","endTime":"17:00","day":"Thursday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358235082001i1or","hash":"b0ebef7bd6fc78b42b0f7f673bab3bc1","shortId":"OPN304-R1","title":"Observability for AI agents: Strands, OpenTelemetry, and Langfuse","abstract":"You're running AI agents in cloud ops, but can you see inside them? 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Debug failures, analyze token costs, version prompts, and score output quality — all with open source and open standards.","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790360394201001A9do","lastModified":"2026-11-04T22:12:22Z","speakers":[{"id":"1787936979709001GE8s_17746331reinvent2026","displayName":"Smruti Tripathy","name":"Smruti Tripathy","firstName":"Smruti","lastName":"Tripathy","company":"Amazon Web Services"},{"id":"1787936979558001G9Gz_17746331reinvent2026","displayName":"Kien Tran","name":"Kien Tran","firstName":"Kien","lastName":"Tran","company":"Amazon"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"Tech Explorer"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":84,"repeats":[{"id":"1780442283119001c4cd","shortId":"OPN304-R","startDateTime":"2026-12-02T20:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","startTime":"12:30","endTime":"14:30","day":"Wednesday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Forum 101"}]},{"id":"1790358221206001imjz","hash":"b2e3dc6be9c4f7fca8ac136e95dc673f","shortId":"COP325-R1","title":"Observability patterns for agentic AI in production","abstract":"AI agents are non-deterministic, multi-step, and make autonomous decisions and traditional APM isn't enough. Explore observability patterns for agentic workloads: reasoning chain tracing, token cost attribution, guardrail monitoring, and multi-agent coordination. We'll whiteboard architectures in real time. Bring your toughest production agent monitoring questions and leave with actionable patterns.","startDateTime":"2026-12-03T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-03T20:00:00.000Z","endDateTime":"2026-12-03T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790360367832001AsmW","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1787937014868001Gq8A_17746331reinvent2026","displayName":"Joseph Choi","name":"Joseph Choi","firstName":"Joseph","lastName":"Choi","company":"Amazon"},{"id":"1770342897215001kQIj_17746331reinvent2026","displayName":"chaitanya Gummadi","name":"chaitanya Gummadi","firstName":"chaitanya","lastName":"Gummadi","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon CloudWatch"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780442237003001csbL","shortId":"COP325-R","startDateTime":"2026-11-30T21:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","startTime":"13:00","endTime":"14:00","day":"Monday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442237003001csbL","hash":"d742a09cd39637be73849dbed9f161ef","shortId":"COP325-R","title":"Observability patterns for agentic AI in production","abstract":"AI agents are non-deterministic, multi-step, and make autonomous decisions and traditional APM isn't enough. 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Bring your toughest production agent monitoring questions and leave with actionable patterns.","startDateTime":"2026-11-30T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-11-30T21:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025486228001CAgW","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1787937014868001Gq8A_17746331reinvent2026","displayName":"Joseph Choi","name":"Joseph Choi","firstName":"Joseph","lastName":"Choi","company":"Amazon"},{"id":"1770342897215001kQIj_17746331reinvent2026","displayName":"chaitanya Gummadi","name":"chaitanya Gummadi","firstName":"chaitanya","lastName":"Gummadi","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon CloudWatch"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":75,"repeats":[{"id":"1790358221206001imjz","shortId":"COP325-R1","startDateTime":"2026-12-03T20:00:00.000Z","endDateTime":"2026-12-03T21:00:00.000Z","startTime":"12:00","endTime":"13:00","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442247186001cWbE","hash":"796b2bc121429fc2ce16127b693ad2c0","shortId":"MAM329-R","title":"Observability patterns for Microsoft workloads migrating to AWS","abstract":"Migrating Microsoft workloads to AWS requires rethinking your monitoring strategy. 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Bring your questions.","startDateTime":"2026-11-30T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025493545001Cph5","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1725408286440001ui7o_17746331reinvent2026","displayName":"Jagadeesh Chitikesi","name":"Jagadeesh Chitikesi","firstName":"Jagadeesh","lastName":"Chitikesi","company":"Amazon Web Services"},{"id":"1725408286615001uByZ_17746331reinvent2026","displayName":"Ashish Bhatia","name":"Ashish Bhatia","firstName":"Ashish","lastName":"Bhatia","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Developer Tools"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Microsoft & .NET"},{"id":"AreaofInterest","displayName":"DevOps"},{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1790358231491001iiYG","shortId":"MAM329-R1","startDateTime":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Tuesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358231491001iiYG","hash":"94f70cae045221c679ece9da4ac83dde","shortId":"MAM329-R1","title":"Observability patterns for Microsoft workloads migrating to AWS","abstract":"Migrating Microsoft workloads to AWS requires rethinking your monitoring strategy. 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Bring your questions.","startDateTime":"2026-12-01T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790360377143001Ak0G","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1725408286440001ui7o_17746331reinvent2026","displayName":"Jagadeesh Chitikesi","name":"Jagadeesh Chitikesi","firstName":"Jagadeesh","lastName":"Chitikesi","company":"Amazon Web Services"},{"id":"1725408286615001uByZ_17746331reinvent2026","displayName":"Ashish Bhatia","name":"Ashish Bhatia","firstName":"Ashish","lastName":"Bhatia","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Developer Tools"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Microsoft & .NET"},{"id":"AreaofInterest","displayName":"DevOps"},{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":98,"repeats":[{"id":"1780442247186001cWbE","shortId":"MAM329-R","startDateTime":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442254857001cak0","hash":"bb9441edb732cedb9f3552c0a37508c3","shortId":"COM326","title":"Observable Agents with Lambda Durable Functions and OpenTelemetry","abstract":"When AI agents run as long-lived, multi-invocation workflows on Lambda Durable Functions, standard observability breaks down. A single durable execution spanning five specialists producing independent telemetry, replays pollute logs with duplicates, and no tool can tell you which agents are failing across thousands of concurrent runs. We'll build a multi-agent purchasing coordinator with Lambda durable functions, instrument it with the OpenTelemetry plugin for one coherent trace across all invocations, and CloudWatch insights to answer fleet-wide queries with business context. Attendees leave with fully observable architecture and the investigation pattern from CloudWatch alarm to end-to-end traces and correlated log entries.","startDateTime":"2026-11-30T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790033114196001qwU7","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1779432669941001U2px_17746331reinvent2026","displayName":"Raphael Manke","name":"Raphael Manke","firstName":"Raphael","lastName":"Manke","company":"Dash0"},{"id":"1779381832635001MoF0_17746331reinvent2026","displayName":"Gunnar Grosch","name":"Gunnar Grosch","firstName":"Gunnar","lastName":"Grosch","company":"-"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Code Talk","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"AWS Lambda"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Lambda-Based Applications"},{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Community-led"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":120},{"id":"1780442280072001cN7R","hash":"cc46cf3e82c5dba319e3c7b7f64cb0df","shortId":"COP357-R","title":"Observe AI agents and workloads end to end","abstract":"Get hands-on with Amazon CloudWatch Omni, the next evolution of CloudWatch that monitors your AI stack end to end, from the agent all the way down to the self-hosted inference workload serving it, converging application and agent observability into one AI-powered solution. Instrument an agent, trace its execution, and run evaluations against golden datasets. When something degrades, explore auto-discovered topology and golden metrics to pinpoint where latency or errors creep in. Navigate from alarm to the responsible inference workload, and let Omni's AI-powered investigation trace the root cause.","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T18:30:00.000Z","endTime":"10:30","sessionTimeId":"1791224279582001tCGZ","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":112},{"id":"1780441491971001GoIt","hash":"2931a3b2599ab65be5112555bd5cb8cf","shortId":"COP319-R","title":"Observe AI agents beyond your perimeter","abstract":"Your developers are burning tokens on AI coding agents with zero visibility. Claude Code and OpenAI Codex run on laptops, outside your perimeter, with no telemetry reaching your observability backend. In this session, we fix that. Using native OpenTelemetry export and Amazon CloudWatch's OTLP endpoint with a single bearer token, with no collectors, no sidecars, no credential wiring, we ship metrics (token usage, cost, productivity), logs (tool decisions, errors), and traces (agent reasoning chains) directly from developer machines. Then we build a live dashboard with per-team cost attribution and anomaly alerting, all queryable with PromQL. Walk out ready to deploy in minutes.","startDateTime":"2026-12-01T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-01T21:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025503776001C9zm","lastModified":"2026-11-03T20:06:08Z","speakers":[{"id":"1725408424621001uYiR_17746331reinvent2026","displayName":"Garrett Johnson","name":"Garrett Johnson","firstName":"Garrett","lastName":"Johnson","company":"AWS"},{"id":"1737824873255001Irmd_17746331reinvent2026","displayName":"Gagandeep Singh","name":"Gagandeep Singh","firstName":"Gagandeep","lastName":"Singh","company":"Amazon Web Services"},{"id":"1725638010629001vbEl_17746331reinvent2026","displayName":"Kishore Vinjam","name":"Kishore Vinjam","firstName":"Kishore","lastName":"Vinjam","company":"Amazon Web Services"},{"id":"1758906399846001IFvH_17746331reinvent2026","displayName":"Ainara Manlutac","name":"Ainara Manlutac","firstName":"Ainara","lastName":"Manlutac","company":"Amazon Web Services"},{"id":"1737680577913001lMNn_17746331reinvent2026","displayName":"Anil Pathuri","name":"Anil Pathuri","firstName":"Anil","lastName":"Pathuri","company":"Amazon"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Builders' Session 2","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Tuesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"AWS Distro for OpenTelemetry"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1790358254824001i0fS","shortId":"COP319-R1","startDateTime":"2026-12-03T00:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","startTime":"16:00","endTime":"17:00","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358254824001i0fS","hash":"46d28d6051f264b8919be2331956bc69","shortId":"COP319-R1","title":"Observe AI agents beyond your perimeter","abstract":"Your developers are burning tokens on AI coding agents with zero visibility. Claude Code and OpenAI Codex run on laptops, outside your perimeter, with no telemetry reaching your observability backend. In this session, we fix that. Using native OpenTelemetry export and Amazon CloudWatch's OTLP endpoint with a single bearer token, with no collectors, no sidecars, no credential wiring, we ship metrics (token usage, cost, productivity), logs (tool decisions, errors), and traces (agent reasoning chains) directly from developer machines. Then we build a live dashboard with per-team cost attribution and anomaly alerting, all queryable with PromQL. Walk out ready to deploy in minutes.","startDateTime":"2026-12-03T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-03T00:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790360382238001Aa9l","lastModified":"2026-11-03T20:06:08Z","speakers":[{"id":"1725408424621001uYiR_17746331reinvent2026","displayName":"Garrett Johnson","name":"Garrett Johnson","firstName":"Garrett","lastName":"Johnson","company":"AWS"},{"id":"1737824873255001Irmd_17746331reinvent2026","displayName":"Gagandeep Singh","name":"Gagandeep Singh","firstName":"Gagandeep","lastName":"Singh","company":"Amazon Web Services"},{"id":"1725638010629001vbEl_17746331reinvent2026","displayName":"Kishore Vinjam","name":"Kishore Vinjam","firstName":"Kishore","lastName":"Vinjam","company":"Amazon Web Services"},{"id":"1758906399846001IFvH_17746331reinvent2026","displayName":"Ainara Manlutac","name":"Ainara Manlutac","firstName":"Ainara","lastName":"Manlutac","company":"Amazon Web Services"},{"id":"1737680577913001lMNn_17746331reinvent2026","displayName":"Anil Pathuri","name":"Anil Pathuri","firstName":"Anil","lastName":"Pathuri","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"AWS Distro for OpenTelemetry"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1780441491971001GoIt","shortId":"COP319-R","startDateTime":"2026-12-01T21:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","startTime":"13:00","endTime":"14:00","day":"Tuesday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Forum 120 | Content Hub | Builders' Session 2"}]},{"id":"1780441461730001GMXW","hash":"e35fe4a43950cd0d49af563ff02d8a14","shortId":"ANT350","title":"Observe, investigate, act: smarter ops with Amazon OpenSearch Service","abstract":"AI agents are becoming your best investigators, triaging alerts, correlating telemetry, and performing root-cause analysis across metrics, logs, and traces in seconds. And agents are a critical workload to observe: you need LLM trace monitoring, per-call cost attribution, and multi-agent workflow debugging to keep token spend and accuracy under control. Whether you're scaling an existing observability platform or modernizing your stack, Amazon OpenSearch Service addresses both sides. In this session, we present capabilities including native OpenTelemetry ingestion, MCP-based agent skills for natural-language issue investigation, and an optimized log-analytics engine delivering 4× price-performance at petabyte scale. Learn how to put AI agents to work on your observability data and how to keep them accountable in production.","startDateTime":"2026-11-30T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-11-30T19:30:00.000Z","endDateTime":"2026-11-30T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025480373001CwTa","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1725566507186001SRzx_17746331reinvent2026","displayName":"Jon Handler","name":"Jon Handler","firstName":"Jon","lastName":"Handler","company":"AWS"},{"id":"1759934013644001VLl3_17746331reinvent2026","displayName":"Rohin Bhargava","name":"Rohin Bhargava","firstName":"Rohin","lastName":"Bhargava","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon OpenSearch Serverless"},{"id":"Services","displayName":"Amazon OpenSearch Service"},{"id":"Services","displayName":"OpenSearch"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780441488900001GYRf","hash":"5f0b9d2885de6e65ebf61f8e648d439f","shortId":"OPN201-S","title":"Observe me that: Easy OpenTelemetry monitoring for your systems (sponsored by Dash0)","abstract":"OpenTelemetry is the de-facto open-source standard for vendor-neutral traces, metrics, and logs. But, if you are not an OpenTelemetry expert, the learning curve to add it to your systems can be intimidating. This session covers how to bring OpenTelemetry with zero-code/no-touch instrumentation in applications running on AWS Lambda, Amazon EC2, ECS and EKS, as well as how to bring into your OpenTelemetry pipelines telemetry from various AWS managed services and how to use agentic skills to level up the quality of your instrumentations and get better value out of your telemetry backends, coding agents, and AI tools. You will leave this session with a concrete map to get your OpenTelemetry journey started with tangible results in minutes. This presentation is brought to you by Dash0, an AWS Partner.","startDateTime":"2026-11-30T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-11-30T18:30:00.000Z","endDateTime":"2026-11-30T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025479949001CiN6","lastModified":"2026-11-04T22:20:20Z","speakers":[],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"AWS Lambda"}],"topics":[{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Serverless"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"DevOps"},{"id":"AreaofInterest","displayName":"Kubernetes"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":162},{"id":"1780441473290001GIzg","hash":"e48e26102b063c5ac2ee293bd304ddfc","shortId":"COP358","title":"Observe your applications and agents in one place","abstract":"Traditional monitoring tools weren't built for the complexity of modern agentic and distributed applications. Teams juggle siloed dashboards, fragmented logs, and disconnected signals with no unified way to troubleshoot across agents, applications, and infrastructure. Amazon CloudWatch Omni is an AI-powered observability experience organized around your teams and the applications they run, combining OpenTelemetry interoperability with CloudWatch scale. See how you can troubleshoot applications faster and manage agents with confidence using automatic service discovery, dependency mapping, built-in evaluations, and natural-language investigation — all from the Omni UI, your IDE, or your favorite tools.","startDateTime":"2026-12-02T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-02T17:00:00.000Z","endDateTime":"2026-12-02T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1791575950655001tMq6","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":212},{"id":"1780442235534001czAV","hash":"99af867c50791c0288587d0e7c4d2726","shortId":"AIM449","title":"One agent, any robot: building physical AI with Strands Robots","abstract":"Physical AI puts agents in the real world. This chalk talk builds a robotics agent with the Strands Robots SDK: one Robot() call gives an agent hands — a MuJoCo simulation by default, real hardware with one code parameter change. We'll whiteboard the loop around the embodied agent: perception, a vision-language-action policy (GR00T, Cosmos 3, LeRobot), and low-level control. We'll cover the the edge-to-cloud intelligence split, the peer-to-peer mesh and AWS IoT bridge coordinating a fleet, and sim-to-real transfer.","startDateTime":"2026-11-30T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-11-30T20:00:00.000Z","endDateTime":"2026-11-30T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025482499001Cf8w","lastModified":"2026-11-02T01:36:28Z","speakers":[{"id":"1756397056254001xp9e_17746331reinvent2026","displayName":"Cagatay Cali","name":"Cagatay Cali","firstName":"Cagatay","lastName":"Cali","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":98},{"id":"1780441462861001GZUn","hash":"d96379940d7bd7de72aa9ff9a06cda6b","shortId":"ARC303","title":"One agent to thousands: Building for scale with Newforma","abstract":"When every team builds agents independently, you get the same ungovernable sprawl that drove the shift from artisanal EC2 to container platforms. Agents are non-deterministic workloads that require deterministic governance, and this tension drives every platform decision, from dual orchestration for known vs. emergent topologies, to policy-based boundaries around soft reasoning, to defense layers that compose without coupling. We walk through how Newforma operationalized this architecture on AWS, and attendees leave understanding how to layer orchestration, policy, and defense into an enterprise agent platform that scales safely.","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025548315001CWZg","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1721068571942001CCge_17746331reinvent2026","displayName":"Mahesh Biradar","name":"Mahesh Biradar","firstName":"Mahesh","lastName":"Biradar","company":"Amazon"},{"id":"1725408397035001uz1a_17746331reinvent2026","displayName":"Vikrant Dhir","name":"Vikrant Dhir","firstName":"Vikrant","lastName":"Dhir","company":"Amazon Web Services"},{"id":"1759246711596001oEFp_17746331reinvent2026","displayName":"Benjamin Bazso","name":"Benjamin Bazso","firstName":"Benjamin","lastName":"Bazso","company":"Newforma, Inc."}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Serverless"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Responsible AI"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780441465825001Gj53","hash":"1375be25cce3ecbbe74c4a3088dffd81","shortId":"BIZ217","title":"One AI Assistant, Every Data Source: Unifying Access with Amazon Quick","abstract":"Your data lives in one platform. Your reports live in another. Your documents live somewhere else. Every time someone needs an answer, they spend time figuring out where to look before they can act. Decisions slow down. Teams duplicate work because they cannot find what already exists. New employees take months to become productive because institutional knowledge is trapped in systems they do not know how to navigate. Hear from a customer who solved this by giving their team a single AI assistant that connects across all their enterprise systems. Instead of training people on where to find information, they ask Amazon Quick and get answers grounded in their real business data, regardless of where it lives. Learn how they configured the integration, how their teams adopted it, and what changed about the speed and quality of decision-making across the organization.","startDateTime":"2026-12-03T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-03T00:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790034534828001pNQV","lastModified":"2026-11-03T22:06:21Z","speakers":[{"id":"1726854526613001ok6r_17746331reinvent2026","displayName":"Jess Wang","name":"Jess Wang","firstName":"Jess","lastName":"Wang","company":"Amazon Web Services"},{"id":"1725566536248001SxGe_17746331reinvent2026","displayName":"Jesse Gebhardt","name":"Jesse Gebhardt","firstName":"Jesse","lastName":"Gebhardt","company":"AWS"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Purple Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780442236121001cr4i","hash":"ca3a86d8740193121cc8e209489bf582","shortId":"BIZ303","title":"One Context Layer, Every Surface: Enterprise Knowledge for Agents That Work Anywhere","abstract":"Your AI agents are only as smart as the data they can reach. In most enterprises, that data is scattered across dozens of systems, siloed, ungoverned, and invisible to the agents that need it most. In this chalk talk, we architect a context layer from the ground up: connecting enterprise knowledge into a unified index, then enriching that foundation with a knowledge graph that maps organizational relationships, business rules, and domain context, giving agents permission-scoped, relationship-aware intelligence at runtime. Then we take that intelligence to where users work: browser, desktop, mobile, collaboration tools, and productivity suites. Each surface independently governed yet sharing one agent identity, one memory, and one set of guardrails. Bring your architecture. We'll whiteboard the end-to-end path together.","startDateTime":"2026-12-03T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-03T20:00:00.000Z","endDateTime":"2026-12-03T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025540601001CD53","lastModified":"2026-11-06T06:33:24Z","speakers":[{"id":"1759334189717001h6ov_17746331reinvent2026","displayName":"Suren Raju","name":"Suren Raju","firstName":"Suren","lastName":"Raju","company":"Amazon"},{"id":"1726854524646001ojA3_17746331reinvent2026","displayName":"Josh DeMuth","name":"Josh DeMuth","firstName":"Josh","lastName":"DeMuth","company":"AWS"}],"venueRoomName":"Level 1 | Alliance 314","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1780441488321001GLwW","hash":"265966b9ffd7830f5dc75c3ff81dfcb0","shortId":"AIM262-S","title":"One Control Plane for Every Agent: Architecture Patterns for Cost, Risk, and ROI (sponsored by Boomi)","abstract":"Every agent call carries cost, permission, and blast radius, and as agents multiply across tools, frameworks, and SaaS, the gaps compound: uncapped spend, unapproved permissions, no shared record. This session breaks down an AI infrastructure layer, running on AWS, that governs every model, agent, and system. A design-time layer publishes an approved catalog of agents, tools, and MCP servers; a runtime layer routes, meters, and enforces policy on every call before it executes. See how spend caps, in-tenant SLMs, and governed APIs turn cost into a controlled input, while one trace gives finance, security, and engineering a shared, audit-ready record. This presentation is brought to you by Boomi, an AWS Partner.","startDateTime":"2026-12-01T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-01T22:30:00.000Z","endDateTime":"2026-12-01T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025489692001C8Vj","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1753833841673001LJ4f_17746331reinvent2026","displayName":"Mani Gill","name":"Mani Gill","firstName":"Mani","lastName":"Gill","company":"Boomi"},{"id":"1783634956737001Tnus_17746331reinvent2026","displayName":"Patricia Moore","name":"Patricia Moore","firstName":"Patricia","lastName":"Moore","company":"Boomi"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Responsible AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780442270513001cOsZ","hash":"424b49517c0aed184cd114600681a4c0","shortId":"SEC226-S","title":"One Control to Rule Them All: Guardrail Automation for Every Identity (sponsored by Sonrai Security)","abstract":"Separate guardrails for humans, machine identities, and AI agents get messy, and rewriting every IAM policy takes forever. SCPs deployed at scope are easy to write. What follows is not. Nobody can say what a policy will break, so it never deploys. Someone gets blocked and the fix becomes a two hour hunt. The tenth control behaves nothing like the first. New accounts inherit none of it. This lightning talk answers all four using only AWS Organizations, SCPs, and RCPs. See how usage data makes a default deny safe, how access returns in seconds, and how least privilege holds. This presentation is brought to you by Sonrai Security, an AWS Partner.","startDateTime":"2026-12-02T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-02T18:30:00.000Z","endDateTime":"2026-12-02T18:50:00.000Z","endTime":"10:50","sessionTimeId":"1790033120166001qndm","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1747858579480001CBDd_17746331reinvent2026","displayName":"Ian Weyenberg","name":"Ian Weyenberg","firstName":"Ian","lastName":"Weyenberg","company":"NetDocuments"}],"venueRoomName":"Level 2 | Hall B | Expo | Builder Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442222584001cYOu","hash":"0acf114d2e479d8d9055fc0cd6960cac","shortId":"SEC333","title":"One query across every signal: centralized security investigations at scale","abstract":"When an alert fires, your first question is \"what else happened?\" Answering it means correlating API calls, network flows, DNS queries, and application logs, often across dozens of accounts and regions. In this session, we show how security practitioners centralize every signal into a single queryable layer using Amazon CloudWatch unified data store, then investigate incidents with faceted queries that span all telemetry types at once. We walk through building always-on visibility dashboards, running cross-account investigations without switching tools, and using AI-assisted analytics to surface context before you need to go looking for it. You leave with a reference architecture for turning centralized logs into faster investigations and clearer security posture.","startDateTime":"2026-12-03T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-03T20:00:00.000Z","endDateTime":"2026-12-03T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025541911001CthE","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1758084673136001sNI1_17746331reinvent2026","displayName":"Abeetha Bala","name":"Abeetha Bala","firstName":"Abeetha","lastName":"Bala","company":"Amazon Web Services"},{"id":"1725408479175001uskC_17746331reinvent2026","displayName":"Marshall Jones","name":"Marshall Jones","firstName":"Marshall","lastName":"Jones","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon CloudWatch"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780442238022001cJd1","hash":"2196de0c1b9a912884c8c108d113fa34","shortId":"COM403","title":"One-Way Doors: Launching a Regulated Financial Exchange on AWS in 2026","abstract":"AWS turns 20 this year. Starting fresh in 2026 means navigating hundreds of services with no clear map for which decisions are one-way doors. I'll share how we built a CFTC-regulated exchange and clearinghouse from the AWS Organizations up. The full security stack (ControlTower, Config, GuardDuty, Security Hub, and IAM) built in the right order from day one. We almost walked through the wrong door. A pre-launch architecture review with our engineers and AWS solution architects caught it in time. Here's how to have that conversation before it's too late.","startDateTime":"2026-12-01T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-01T00:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025498152001CV6W","lastModified":"2026-11-02T16:14:15Z","speakers":[{"id":"1749078562977001kRI7_17746331reinvent2026","displayName":"Margaret Valtierra","name":"Margaret Valtierra","firstName":"Margaret","lastName":"Valtierra","company":"Optex"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"AWS Config"},{"id":"Services","displayName":"AWS Security Hub"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Well-Architected Framework"},{"id":"AreaofInterest","displayName":"Culture of Security"},{"id":"AreaofInterest","displayName":"Zero Trust"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Community-led"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780442253807001cISS","hash":"65c3d61f0721fd141c8506df8a7ded4e","shortId":"AIM435","title":"On-Policy Distillation on HyperPod EKS: Train Smarter Small Models","abstract":"Frontier models are powerful but costly to deploy. On-policy distillation, adopted by Qwen3, MiMo, and GLM-5, lets you compress a large teacher into a lean, domain-specialized student by training on the student's own rollouts with dense token-level feedback. Unlike Reinforcement Learning with Verifiable Rewards, it's cheaper, more stable, and doesn't require a verifier. In this code talk, walk through a working implementation on HyperPod EKS: orchestrate teacher inference and student training across GPU pools, manage the rollout buffer, and evaluate convergence.","startDateTime":"2026-12-02T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-02T21:00:00.000Z","endDateTime":"2026-12-02T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025521477001CSFB","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726734187593001gno0_17746331reinvent2026","displayName":"Eric Borland","name":"Eric Borland","firstName":"Eric","lastName":"Borland","company":"Amazon Web Services"},{"id":"1725408471963001ufsK_17746331reinvent2026","displayName":"Chakravarthy Nagarajan","name":"Chakravarthy Nagarajan","firstName":"Chakravarthy","lastName":"Nagarajan","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon SageMaker AI"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":66},{"id":"1790358228305001iCXs","hash":"064f826a2757e3a3509c81923327238c","shortId":"MAM210-R1","title":"On-premises to AWS readiness: foundational decisions before your migration","abstract":"Successful migrations are shaped by decisions made well before the first workload moves. This session explores how choices in licensing, operating models, technology architecture, and organizational readiness influence migration outcomes, whether moving off VMware, aging infrastructure, or other on-premises environments. Learn how to assess dependencies and business constraints, align stakeholders, and build a plan that avoids common pitfalls and adapts as your environment evolves.","startDateTime":"2026-12-01T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790360374323001A6AM","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726263189733001aYmx_17746331reinvent2026","displayName":"Ron Wedel","name":"Ron Wedel","firstName":"Ron","lastName":"Wedel","company":"AWS"},{"id":"1731452787939001KI0M_17746331reinvent2026","displayName":"Senay Swinney","name":"Senay Swinney","firstName":"Senay","lastName":"Swinney","company":"Amazon"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"AWS Transform"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"VMware"},{"id":"AreaofInterest","displayName":"Well-Architected Framework"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[],"role":[{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780442247316001cS1x","shortId":"MAM210-R","startDateTime":"2026-11-30T17:00:00.000Z","endDateTime":"2026-11-30T18:00:00.000Z","startTime":"09:00","endTime":"10:00","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442247316001cS1x","hash":"e07a965cd25f3f6af6a18084366eb039","shortId":"MAM210-R","title":"On-premises to AWS readiness: foundational decisions before your migration","abstract":"Successful migrations are shaped by decisions made well before the first workload moves. This session explores how choices in licensing, operating models, technology architecture, and organizational readiness influence migration outcomes, whether moving off VMware, aging infrastructure, or other on-premises environments. Learn how to assess dependencies and business constraints, align stakeholders, and build a plan that avoids common pitfalls and adapts as your environment evolves.","startDateTime":"2026-11-30T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-11-30T17:00:00.000Z","endDateTime":"2026-11-30T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025475181001C2oj","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726263189733001aYmx_17746331reinvent2026","displayName":"Ron Wedel","name":"Ron Wedel","firstName":"Ron","lastName":"Wedel","company":"AWS"},{"id":"1731452787939001KI0M_17746331reinvent2026","displayName":"Senay Swinney","name":"Senay Swinney","firstName":"Senay","lastName":"Swinney","company":"Amazon"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"AWS Transform"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"VMware"},{"id":"AreaofInterest","displayName":"Well-Architected Framework"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[],"role":[{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1790358228305001iCXs","shortId":"MAM210-R1","startDateTime":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T21:00:00.000Z","startTime":"12:00","endTime":"13:00","day":"Tuesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442245288001cbqo","hash":"e67461659dcc3fc50c6e70154f2da881","shortId":"IND3317","title":"Ontology-Powered AI Agents: Verifiable Decisions Across Manufacturing","abstract":"Manufacturing stakeholders make dozens of high-velocity decisions daily. Each must be traceable, defensible, and grounded in enterprise knowledge and lifecycle data. Yet the systems informing these decisions remain siloed, and AI agents reasoning over this fragmented data cannot produce verifiable results. Ontologies solve this by structuring manufacturing knowledge so agents can trace decisions back to their source data. In this chalk talk, we show how ontology-grounded agents, powered by Amazon Bedrock AgentCore and Strands Agents SDK, make verifiable decisions across the lifecycle with a live demo. Attendees leave with a reference architecture, best practices, and a clear path to building verifiable AI agents for manufacturing.","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025472605001Cshl","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408293254001uZpG_17746331reinvent2026","displayName":"Raja GT","name":"Raja GT","firstName":"Raja","lastName":"GT","company":"Amazon Web Services"},{"id":"1725408330447001uBv2_17746331reinvent2026","displayName":"Vedanth Srinivasan","name":"Vedanth Srinivasan","firstName":"Vedanth","lastName":"Srinivasan","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Neptune"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Automotive"},{"id":"Industry","displayName":"Manufacturing & Industrial"}],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780441464981001GXxU","hash":"71d8bb7f93cf3fc6c7af350d3bb9ace2","shortId":"AIM371","title":"Open for Business: OpenAI on AWS","abstract":"There is more than one way to put OpenAI to work on AWS, from coding agents that ship production code to knowledge workflows and custom agents. This session tours OpenAI on AWS, starting with the latest OpenAI models on Amazon Bedrock. Put them to work through two agentic surfaces: Codex for coding and ChatGPT Work for knowledge work. Then explore Amazon Bedrock Managed Agents for OpenAI to deploy OpenAI-powered agents in your AWS environment. The session maps OpenAI on AWS and helps you decide which path fits your needs.","startDateTime":"2026-11-30T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-11-30T18:00:00.000Z","endDateTime":"2026-11-30T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025476355001CDYE","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1727692041529001KXIy_17746331reinvent2026","displayName":"Nick McCarthy","name":"Nick McCarthy","firstName":"Nick","lastName":"McCarthy","company":"AWS"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Purple Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780441484504001G2GG","hash":"0da7a13039405a1d53dd358717359546","shortId":"AIM278-S","title":"Open source agent observability and evals with AgentCore and Langfuse (sponsored by ClickHouse)","abstract":"Production agents need more than infrastructure. They need an open source foundation for understanding behavior, evaluating quality, and improving continuously without sacrificing control of their data. In this session, learn how Amazon Bedrock AgentCore and Langfuse combine secure agent infrastructure with open source observability and evaluation, powered by ClickHouse. See how teams capture OpenTelemetry traces, debug trajectories and tool calls, evaluate production quality, turn failures into datasets, and prevent regressions before deployment. We will share a practical architecture for unifying policy and telemetry across AgentCore, EKS, and other runtimes so teams can ship trustworthy agents faster. This presentation is brought to you by ClickHouse, an AWS Partner.","startDateTime":"2026-12-01T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025507923001Ckez","lastModified":"2026-11-03T22:08:29Z","speakers":[{"id":"1790893143655001SVAA_17746331reinvent2026","displayName":"Marc Klingen","name":"Marc Klingen","firstName":"Marc","lastName":"Klingen","company":"Langfuse (by ClickHouse)"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"},{"id":"Topic","displayName":"Open Source"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780442235296001cus1","hash":"9d253637606ea0db817fa94b9a53a3ae","shortId":"AIM338-R","title":"Open-weights at work: Scaling AI without scaling the bill","abstract":"Agentic and coding workloads are multiplying token consumption, and paying frontier prices on every call adds up fast. This chalk talk shows how open-weight models on Amazon Bedrock let you scale that growth affordably without giving up quality or security. We walk through multi-model strategies for agentic and code generation workloads, the unit economics of open-weight versus frontier, and how Bedrock's inference engine design keeps security strong regardless of where a model came from. You leave with a practical path to cost-efficient inference at scale.","startDateTime":"2026-12-03T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025529755001CFpN","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1727831214523001nYKD_17746331reinvent2026","displayName":"Alex Thewsey","name":"Alex Thewsey","firstName":"Alex","lastName":"Thewsey","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1790358234091001iSUr","shortId":"AIM338-R1","startDateTime":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-02T23:30:00.000Z","startTime":"14:30","endTime":"15:30","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1790358234091001iSUr","hash":"8c479bba18b98da196d7347f147c8449","shortId":"AIM338-R1","title":"Open-weights at work: Scaling AI without scaling the bill","abstract":"Agentic and coding workloads are multiplying token consumption, and paying frontier prices on every call adds up fast. 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Understanding the tokenomics of your AI stack is essential to operating efficiently at scale.","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790360401356001AaAB","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1730144971111001udqv_17746331reinvent2026","displayName":"Andy Brown","name":"Andy Brown","firstName":"Andy","lastName":"Brown","company":"AWS"},{"id":"1725408392392001uzLJ_17746331reinvent2026","displayName":"Steph Gooch","name":"Steph Gooch","firstName":"Steph","lastName":"Gooch","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Billing and Cost Management"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":60,"repeats":[{"id":"1780442254088001c3iW","shortId":"COP403-R","startDateTime":"2026-11-30T19:30:00.000Z","endDateTime":"2026-11-30T20:30:00.000Z","startTime":"11:30","endTime":"12:30","day":"Monday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780441462444001GDdl","hash":"90ceb4e1e2360aaf284bc1f8b11540e3","shortId":"ANT335","title":"Optimize AI ROI with cost-efficient data analytics on AWS","abstract":"Delivering ROI for AI and ML at enterprise scale demands more than just great models — it requires a data and analytics foundation engineered for cost efficiency from day one. This session examines different cost efficiency levers that pair AWS data and analytics services with AI/ML workloads to maximize price-performance. We explore patterns including right-sizing your data infrastructure for training, inference, feature extraction, ETL pipelines and selecting optimal storage formats to minimize costs. You'll learn how to instrument cost observability across your analytics stack, apply tagging strategies for AI workload attribution, and implement governance guardrails that prevent runaway spend — turning your data foundation into a competitive advantage for ML and AI delivery.","startDateTime":"2026-12-01T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-01T21:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025503572001Cjln","lastModified":"2026-11-03T20:08:07Z","speakers":[{"id":"1724373243355001odWZ_17746331reinvent2026","displayName":"Imtiaz (Taz) Sayed","name":"Imtiaz (Taz) Sayed","firstName":"Imtiaz","lastName":"(Taz) Sayed","company":"Amazon"},{"id":"1731610113598001gtnZ_17746331reinvent2026","displayName":"Aneesh Chandra PN","name":"Aneesh Chandra PN","firstName":"Aneesh Chandra","lastName":"PN","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon EMR"},{"id":"Services","displayName":"Amazon Redshift"},{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780441497737001GDj4","hash":"cd0be1c28aef9faacc14784b5733d670","shortId":"CMP327-R","title":"Optimize AI value: Compare token economics on AWS silicon","abstract":"Most enterprises run their entire AI pipeline on GPU and can overpay. AWS's silicon portfolio (Trainium & Graviton) along with NVIDIA GPU, Intel, and AMD all offer radically different economics for different workloads, and the cheapest token rarely delivers the cheapest business outcome. This session delivers a decision framework for matching silicon to workload: training and inference on Trainium, RAG pipelines on Graviton, real-time agents on GPU, batch on Intel/AMD. Includes Bedrock vs. self-host crossover analysis, volume thresholds, and the architecture patterns to put the savings into practice.","startDateTime":"2026-12-01T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025507212001CmLq","lastModified":"2026-11-03T16:38:17Z","speakers":[{"id":"1736746029105001YNs9_17746331reinvent2026","displayName":"Melchi Salins","name":"Melchi Salins","firstName":"Melchi","lastName":"Salins","company":"AWS"},{"id":"1787937095161001GP5y_17746331reinvent2026","displayName":"Simon Coope","name":"Simon Coope","firstName":"Simon","lastName":"Coope","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1790358256378001i8Ap","shortId":"CMP327-R1","startDateTime":"2026-12-03T21:30:00.000Z","endDateTime":"2026-12-03T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1790358256378001i8Ap","hash":"61a788dd51dba760d3589a215c31d3d3","shortId":"CMP327-R1","title":"Optimize AI value: Compare token economics on AWS silicon","abstract":"Most enterprises run their entire AI pipeline on GPU and can overpay. AWS's silicon portfolio (Trainium & Graviton) along with NVIDIA GPU, Intel, and AMD all offer radically different economics for different workloads, and the cheapest token rarely delivers the cheapest business outcome. This session delivers a decision framework for matching silicon to workload: training and inference on Trainium, RAG pipelines on Graviton, real-time agents on GPU, batch on Intel/AMD. Includes Bedrock vs. self-host crossover analysis, volume thresholds, and the architecture patterns to put the savings into practice.","startDateTime":"2026-12-03T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-03T21:30:00.000Z","endDateTime":"2026-12-03T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790360375583001ALm9","lastModified":"2026-11-04T19:31:39Z","speakers":[{"id":"1787937095161001GP5y_17746331reinvent2026","displayName":"Simon Coope","name":"Simon Coope","firstName":"Simon","lastName":"Coope","company":"Amazon Web Services"},{"id":"1736746029105001YNs9_17746331reinvent2026","displayName":"Melchi Salins","name":"Melchi Salins","firstName":"Melchi","lastName":"Salins","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780441497737001GDj4","shortId":"CMP327-R","startDateTime":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Tuesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780441469160001GTql","hash":"f729f8c47bbf55de8e82f99a1ee233c4","shortId":"DAT423","title":"Optimize AI workloads with Amazon ElastiCache Serverless","abstract":"Building highly scalable, high-performance AI and data-driven applications requires intelligent caching strategies. In this session, learn how to build with Amazon ElastiCache to scale workloads across caching patterns such as session caching, KV-caching, and more. Dive deep into microsecond latency networking optimizations that enable sub-millisecond response times, and explore common performance pitfalls with practical solutions to keep applications running smoothly.","startDateTime":"2026-12-03T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-03T20:00:00.000Z","endDateTime":"2026-12-03T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025541036001CgUB","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408276594001uHnO_17746331reinvent2026","displayName":"Yaron Sananes","name":"Yaron Sananes","firstName":"Yaron","lastName":"Sananes","company":"Amazon"},{"id":"1758905070086001J3RC_17746331reinvent2026","displayName":"Elad Bernstein","name":"Elad Bernstein","firstName":"Elad","lastName":"Bernstein","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon ElastiCache"},{"id":"Services","displayName":"Amazon ElastiCache Serverless"}],"topics":[{"id":"Topic","displayName":"Databases"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780442278296001ct59","hash":"f3ef3340dd727bca7fe25a2a96bcd12e","shortId":"CON407","title":"Optimize analytics workloads on Amazon EKS for performance and cost","abstract":"The analytics landscape is undergoing a shift as global data volumes grow at unprecedented rates. This rapid growth, combined with rising demand for real-time analytics, is driving organizations to modernize and optimize their data processing pipelines and analytics workloads. EKS’s cost-performance and scalability make it the best place to run these workloads.  In this workshop, you will learn hands-on how to optimize EKS for Spark & Kafka workloads using different Karpenter configurations, Spot and Graviton instances, and NVMe volumes. You will also explore observability best practices and granular cost visualization per job. You must bring your laptop to participate.","startDateTime":"2026-12-03T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T18:30:00.000Z","endTime":"10:30","sessionTimeId":"1790025531986001CVOe","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408340428001uO1p_17746331reinvent2026","displayName":"Sundar Shanmugam","name":"Sundar Shanmugam","firstName":"Sundar","lastName":"Shanmugam","company":"Amazon Web Services"},{"id":"1724873036392001yCXW_17746331reinvent2026","displayName":"Ramesh Mathikumar","name":"Ramesh Mathikumar","firstName":"Ramesh","lastName":"Mathikumar","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon CloudWatch Application Insights"},{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"}],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":112},{"id":"1780442225841001cNtk","hash":"33e3079a4499d3a56aaccf5464efd661","shortId":"CMP315","title":"Optimize a .NET application for Graviton 5 using AWS Transform","abstract":"Take a Windows .NET Framework application, run AWS Transform (assess, approve and modernize), and benchmark on Graviton. Compare against the original x86 baseline, inspect what the Transform build missed, fix the result with Kiro and deploy it on Graviton 5. Covers .NET Framework to modern .NET migration and how to apply the method to your own applications. (edited)","startDateTime":"2026-11-30T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-11-30T17:00:00.000Z","endDateTime":"2026-11-30T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025474212001CC4G","lastModified":"2026-11-03T18:13:11Z","speakers":[{"id":"1736309415442001KrOR_17746331reinvent2026","displayName":"Shubhendu Dubey","name":"Shubhendu Dubey","firstName":"Shubhendu","lastName":"Dubey","company":"AWS"},{"id":"1740514669465001OHwe_17746331reinvent2026","displayName":"Jitesh Kumar","name":"Jitesh Kumar","firstName":"Jitesh","lastName":"Kumar","company":"AWS"},{"id":"1768965634708001wBmJ_17746331reinvent2026","displayName":"Kumar Shubham","name":"Kumar Shubham","firstName":"Kumar","lastName":"Shubham","company":"Amazon Web Services"},{"id":"1736392173775001eXm9_17746331reinvent2026","displayName":"Pranjali Rawat","name":"Pranjali Rawat","firstName":"Pranjali","lastName":"Rawat","company":"AWS"},{"id":"1739780655304001DWpw_17746331reinvent2026","displayName":"Chintan Agrawal","name":"Chintan Agrawal","firstName":"Chintan","lastName":"Agrawal","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"AWS Transform"}],"topics":[{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Microsoft & .NET"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780937487247001UFJR","hash":"42dc144d507b2f095f6225f47399449a","shortId":"COP342-R","title":"Optimize container observability to reduce cost","abstract":"At scale, container environments generate metrics and logs that increase both cost and noise for engineering teams. This session explores architectural strategies for managing observability data across containerized workloads using OpenTelemetry. Learn how to control metric cardinality, design sampling policies that preserve critical signals, and evaluate managed backend tradeoffs. You'll leave with a framework for building cost-aware container observability.","startDateTime":"2026-12-01T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-01T00:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025499655001CM9M","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408382354001ua7J_17746331reinvent2026","displayName":"Vikram Venkataraman","name":"Vikram Venkataraman","firstName":"Vikram","lastName":"Venkataraman","company":"Amazon Web Services Inc"},{"id":"1788883198727001hT2P_17746331reinvent2026","displayName":"Carlo Bergonzini","name":"Carlo Bergonzini","firstName":"Carlo","lastName":"Bergonzini","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"}],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Kubernetes"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":98,"repeats":[{"id":"1790358252274001i9Qi","shortId":"COP342-R1","startDateTime":"2026-12-03T00:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","startTime":"16:30","endTime":"17:30","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358252274001i9Qi","hash":"9b2e6a65fa19279549541c2c7057cac3","shortId":"COP342-R1","title":"Optimize container observability to reduce cost","abstract":"At scale, container environments generate metrics and logs that increase both cost and noise for engineering teams. 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You'll leave with a framework for building cost-aware container observability.","startDateTime":"2026-12-03T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-03T00:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790360375762001AsCS","lastModified":"2026-11-04T16:43:13Z","speakers":[{"id":"1788883198727001hT2P_17746331reinvent2026","displayName":"Carlo Bergonzini","name":"Carlo Bergonzini","firstName":"Carlo","lastName":"Bergonzini","company":"Amazon Web Services"},{"id":"1725408382354001ua7J_17746331reinvent2026","displayName":"Vikram Venkataraman","name":"Vikram Venkataraman","firstName":"Vikram","lastName":"Venkataraman","company":"Amazon Web Services Inc"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"}],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Kubernetes"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1780937487247001UFJR","shortId":"COP342-R","startDateTime":"2026-12-01T00:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","startTime":"16:30","endTime":"17:30","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442240066001ckbS","hash":"4e3f9b57ac7d281df15b07454fba5c1e","shortId":"DAT312","title":"Optimize cost & performance in Amazon RDS for SQL Server","abstract":"Cost and performance are top of mind for customers, and these topics go hand in hand. In this chalk talk, learn how to deploy a performant and cost-effective Amazon RDS for SQL Server solution that fits your needs. Explore RDS monitoring tools and native SQL Server features that can be leveraged to pinpoint query inefficiencies, optimize workloads, and right-size your database instances for both cost and peak performance.","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025512416001CMFZ","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408475132001uQH9_17746331reinvent2026","displayName":"Eric Felice","name":"Eric Felice","firstName":"Eric","lastName":"Felice","company":"AWS"},{"id":"1725408332930001ukDA_17746331reinvent2026","displayName":"Sudhir Amin","name":"Sudhir Amin","firstName":"Sudhir","lastName":"Amin","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Relational Database Service (Amazon RDS)"}],"topics":[{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Microsoft & .NET"},{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780442252052001cdOf","hash":"8673ca94d1ec40b20497b327b57f2f71","shortId":"STG354","title":"Optimize HPC with storage for throughput and IOPS","abstract":"High-performance computing workloads demand storage that keeps pace with thousands of compute nodes processing data in parallel. Amazon FSx for Lustre delivers sub-millisecond latencies and high throughput without the operational burden of managing a parallel file system. Amazon FSx for OpenZFS adds high IOPS with consistent low-latency response for latency-sensitive workloads. Explore how to select the right deployment type based on your workload profile, leverage native S3 integration for data pipelines, and right-size performance independently from capacity. 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In this chalk talk, learn how to design a cost-effective archival storage strategy using Amazon S3 Glacier storage classes. We cover how to analyze access patterns to identify archival candidates, automate data movement with S3 Lifecycle policies and S3 Intelligent-Tiering, and design restore workflows using S3 Batch Operations and S3 Event Notifications. Whether you're retaining compliance data for years or staging cold datasets for periodic analytics, leave with a practical framework for balancing retrieval performance against long-term storage costs. 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","startDateTime":"2026-12-03T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-03T20:00:00.000Z","endDateTime":"2026-12-03T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790890905891001iukX","lastModified":"2026-11-02T15:50:48Z","speakers":[{"id":"1725408465098001uaJx_17746331reinvent2026","displayName":"Santhosh Arunuri","name":"Santhosh Arunuri","firstName":"Santhosh","lastName":"Arunuri","company":"AWS"},{"id":"1733161208466001MsO5_17746331reinvent2026","displayName":"Nasan Tsengeg","name":"Nasan Tsengeg","firstName":"Nasan","lastName":"Tsengeg","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Block Store (Amazon EBS)"},{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"}],"topics":[{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Disaster Response & Recovery"},{"id":"AreaofInterest","displayName":"Resilience"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[],"role":[{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":98,"repeats":[{"id":"1790358228818001iTPW","shortId":"STG328-R1","startDateTime":"2026-12-04T16:30:00.000Z","endDateTime":"2026-12-04T17:30:00.000Z","startTime":"08:30","endTime":"09:30","day":"Friday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442277555001c0Jv","hash":"b82317fb204fb20003ff13a50727e482","shortId":"CMP314-R","title":"Optimize smarter: EKS performance with APerf and AI-powered analysis","abstract":"Your EKS workload is running, but is it actually efficient? 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Discover techniques to reduce small file issues with compaction, minimize write amplification with deduplication, and maintain low-latency ingestion at scale, turning raw streaming data into actionable insights with efficiency and reliability.","startDateTime":"2026-12-04T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-04T00:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025550890001CUA1","lastModified":"2026-11-02T19:35:31Z","speakers":[{"id":"1726564843497001W19B_17746331reinvent2026","displayName":"Angel Conde Manjon","name":"Angel Conde Manjon","firstName":"Angel","lastName":"Conde Manjon","company":"Amazon Web Services"},{"id":"1725408394300001uSWI_17746331reinvent2026","displayName":"Shana Schipers","name":"Shana Schipers","firstName":"Shana","lastName":"Schipers","company":"Amazon Web Services"},{"id":"1727772658442001poVW_17746331reinvent2026","displayName":"Diego Garcia","name":"Diego Garcia","firstName":"Diego","lastName":"Garcia","company":"AWS"},{"id":"1725408321504001uqOq_17746331reinvent2026","displayName":"Francisco Morillo","name":"Francisco Morillo","firstName":"Francisco","lastName":"Morillo","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Builders' Session 2","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Business Intelligence"},{"id":"AreaofInterest","displayName":"Event-Driven Architecture"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780441490628001GCvg","hash":"b77e0c138cbfd46767468c9fb10ef3ac","shortId":"STG201","title":"Persistent memory, shared context, instant discovery. 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","startDateTime":"2026-11-30T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025494110001CtxT","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1732597946355001eQvc_17746331reinvent2026","displayName":"Claire Edgcumbe","name":"Claire Edgcumbe","firstName":"Claire","lastName":"Edgcumbe","company":"Amazon"},{"id":"1724721575696001ueCd_17746331reinvent2026","displayName":"Jordan Dolman","name":"Jordan Dolman","firstName":"Jordan","lastName":"Dolman","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Blue Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780442245858001cOiY","hash":"617f2f89fe0f96cc51679390dee691d0","shortId":"IND389","title":"Physical AI for MedTech: From Intelligent Devices to Business Impact","abstract":"Physical AI — AI that senses, reasons, and acts in the physical world — is reshaping medical devices. From surgical robots to connected infusion pumps, imaging to wearables, every next-gen device needs training, simulation, edge deployment, and fleet management at scale. In this chalk talk, we’ll architect the full Physical AI stack on AWS for medical devices — SageMaker for model training, IoT Greengrass for edge inference, regulated OTA at fleet scale, and NVIDIA solutions integrated into the AWS backbone. We’ll whiteboard the hard tradeoffs — edge vs. cloud, regulatory constraints, and scaling from prototype to 100K devices. 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In this chalk talk, we provide a framework for matching each workload to the right option. We trace the physical AI development lifecycle, examining how data sovereignty, latency, data gravity, and token economics interact to shape placement decisions at each phase. Based on real-world use cases, we discuss the options so you leave with a placement framework you can apply immediately.","startDateTime":"2026-12-01T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790360364516001AYeG","lastModified":"2026-11-04T23:00:33Z","speakers":[{"id":"1732651227113001kHbz_17746331reinvent2026","displayName":"Young Jung","name":"Young Jung","firstName":"Young","lastName":"Jung","company":"Amazon Web Services"},{"id":"1740034406178001gwRH_17746331reinvent2026","displayName":"Angelo Sampietro","name":"Angelo Sampietro","firstName":"Angelo","lastName":"Sampietro","company":"Amazon Web Service"},{"id":"1760044425425001Rozr_17746331reinvent2026","displayName":"Umer Chaudhary","name":"Umer Chaudhary","firstName":"Umer","lastName":"Chaudhary","company":"AWS"}],"venueRoomName":"Level 1 | Alliance 314","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"AWS Local Zones"},{"id":"Services","displayName":"AWS Outposts"}],"topics":[{"id":"Topic","displayName":"Networking & Content Delivery"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Edge Computing"},{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"Internet of Things"}],"industry":[{"id":"Industry","displayName":"Telecommunications"}],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1780442244219001cHBq","shortId":"IND322-R","startDateTime":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Tuesday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Academy 414"}]},{"id":"1780442244219001cHBq","hash":"1a3bae8439782bb5fd1e8373b58ea8c0","shortId":"IND322-R","title":"Physical AI in Telecom: A Framework for Workload Placement","abstract":"Some physical AI workloads need sub-millisecond performance at edge cell sites, others are better suited to a full AWS Region, and many fall in between on AWS Local Zones or AWS Outposts. 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In this code talk, we instrument containerized microservices with OpenTelemetry, propagate context across service hops, and correlate spans, metrics, and logs in Amazon CloudWatch. Live coding shows how a single slow request reveals the exact container and code path responsible for degradation, using targeted span attributes and exemplars to make Kubernetes-scale traces navigable. 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Attendees will leave with reusable architectures, orchestration patterns, and examples for cloud operations on AWS.","startDateTime":"2026-12-02T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790033114746001qoxa","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1729919806032001sga0_17746331reinvent2026","displayName":"Pablo Inchausti","name":"Pablo Inchausti","firstName":"Pablo","lastName":"Inchausti","company":"Caylent"},{"id":"1784649884163001MlIR_17746331reinvent2026","displayName":"David Petrocelli","name":"David Petrocelli","firstName":"David","lastName":"Petrocelli","company":"Caylent"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Code Talk","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"Amazon EventBridge"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Community-led"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":120,"repeats":[{"id":"1790358253950001idbt","shortId":"COM324-R1","startDateTime":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","startTime":"11:30","endTime":"12:30","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1790358253950001idbt","hash":"4fbd2acd770b0c6f4d6dac98d7e3a531","shortId":"COM324-R1","title":"Pit Crew AI: Building Multi-Agent Cloud Operations on AWS","abstract":"AI can generate code at racing speed, but production workloads still require continuous attention to security, reliability, cost, and operational risks. 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Agents amplify all of them — and add surprises. One agent generates more API calls in a minute than a human makes in a week. Shared memory leaks context across tenants in ways no IAM policy catches. Autonomous tool calls cascade across services with no human in the loop. Revisit classic SaaS pitfalls through an agentic lens: familiar problems in new costumes, genuinely new failure modes, and what to change before you find out the hard way.","startDateTime":"2026-12-03T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-03T20:00:00.000Z","endDateTime":"2026-12-03T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025540449001CMzN","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408483804001uuKG_17746331reinvent2026","displayName":"Bill Tarr","name":"Bill Tarr","firstName":"Bill","lastName":"Tarr","company":"AWS"},{"id":"1725408315826001uTJb_17746331reinvent2026","displayName":"Anubhav Sharma","name":"Anubhav Sharma","firstName":"Anubhav","lastName":"Sharma","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Aurora"},{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Elastic Load Balancing (ELB)"}],"topics":[{"id":"Topic","displayName":"Architecture"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Data Protection"},{"id":"AreaofInterest","displayName":"SaaS"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1780442268949001cp6f","hash":"260dfe1790470df50f1eec8bfa0e6770","shortId":"MAM420-S","title":"Planning for migrations, and operating databases on AWS with Redgate (sponsored by Red Gate)","abstract":"Moving a database from on-premises to the cloud is easy to get wrong: undersized instances, surprise costs, unplanned downtime. 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This presentation is brought to you by Red Gate, an AWS Partner.","startDateTime":"2026-12-02T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-02T22:50:00.000Z","endTime":"14:50","sessionTimeId":"1790033124896001qJZR","lastModified":"2026-11-03T22:08:29Z","speakers":[{"id":"1782157638628001yHQS_17746331reinvent2026","displayName":"Kellyn Gorman","name":"Kellyn Gorman","firstName":"Kellyn","lastName":"Gorman","company":"Redgate"},{"id":"1752484823590001NxYj_17746331reinvent2026","displayName":"John Martin","name":"John Martin","firstName":"John","lastName":"Martin","company":"Redgate Software"}],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Relational Database Service (Amazon RDS)"},{"id":"Services","displayName":"AWS Database Migration Service (AWS DMS)"},{"id":"Services","displayName":"AWS Transform"}],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Databases"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Well-Architected Framework"},{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442230760001crgE","hash":"93eb267915c96b0f021cf952c196dbc5","shortId":"SEC348","title":"Policy to Proof: govern deployments at machine speed","abstract":"When agents and automated pipelines deploy at machine speed, manual sign-off can't keep up, so the proof has to be built into the pipeline itself. Developers want to ship fast, governance teams want controls enforced, and compliance teams want evidence. In this builder session, you'll build a CI/CD pipeline that satisfies all three: cfn-guard validation against policy rules, CloudFormation deployment, Config evaluation after deployment, and a compliance report generated as a pipeline artifact. The full policy-to-proof loop in one pipeline. You leave with a working pipeline where every deployment validates governance rules and produces audit evidence on its own.","startDateTime":"2026-12-03T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-03T17:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025534064001Cf3d","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408367963001uFLn_17746331reinvent2026","displayName":"Welly Siauw","name":"Welly Siauw","firstName":"Welly","lastName":"Siauw","company":"AWS"},{"id":"1747241151041001d27N_17746331reinvent2026","displayName":"Jerry Peter","name":"Jerry Peter","firstName":"Jerry","lastName":"Peter","company":"Amazon"},{"id":"1726012432679001gZzB_17746331reinvent2026","displayName":"Jean Velez Torres","name":"Jean Velez Torres","firstName":"Jean","lastName":"Velez Torres","company":"Amazon Web Services"},{"id":"1756396953389001xTHH_17746331reinvent2026","displayName":"Vinicius Elias","name":"Vinicius Elias","firstName":"Vinicius","lastName":"Elias","company":"AWS"},{"id":"1725408447912001uNny_17746331reinvent2026","displayName":"Pujah Goviel","name":"Pujah Goviel","firstName":"Pujah","lastName":"Goviel","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS CloudFormation"},{"id":"Services","displayName":"AWS Config"},{"id":"Services","displayName":"AWS Security Hub"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"DevSecOps"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1785256472094001dcYg","hash":"df507814037b307470550fd3128646fe","shortId":"GHJ203-R","title":"Post-quantum cryptography tabletop experience","abstract":"Quantum computing is advancing—is your cryptographic infrastructure ready? In this immersive tabletop, executives will confront the urgent reality that current public-key cryptographic standards face obsolescence. Make high-stakes decisions on migration timelines, technology selection, and stakeholder coordination as quantum threats loom over customer data, transaction systems, and competitive intelligence. Balance budget constraints against discovery, risk prioritization, and implementation speed while navigating regulatory requirements and operational continuity. Compete to build quantum-resistant infrastructure before adversaries exploit today's vulnerabilities. Leave with actionable strategies for leading a post-quantum cryptography migration that protects trust and secures competitive advantage. Walk-ins welcome.","startDateTime":"2026-12-01T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1791311264122001ADZq","lastModified":"2026-11-03T17:32:29Z","speakers":[],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Gamified learning"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Migration & Modernization"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Entrepreneur (Founder/Co-Founder)"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":70,"repeats":[{"id":"1785256472150001dakc","shortId":"GHJ203-R1","startDateTime":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","startTime":"15:00","endTime":"17:00","day":"Thursday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1785256472150001dakc","hash":"f2a469127a64f31cd70e1f49462e155f","shortId":"GHJ203-R1","title":"Post-quantum cryptography tabletop experience","abstract":"Quantum computing is advancing—is your cryptographic infrastructure ready? In this immersive tabletop, executives will confront the urgent reality that current public-key cryptographic standards face obsolescence. Make high-stakes decisions on migration timelines, technology selection, and stakeholder coordination as quantum threats loom over customer data, transaction systems, and competitive intelligence. Balance budget constraints against discovery, risk prioritization, and implementation speed while navigating regulatory requirements and operational continuity. Compete to build quantum-resistant infrastructure before adversaries exploit today's vulnerabilities. Leave with actionable strategies for leading a post-quantum cryptography migration that protects trust and secures competitive advantage.","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1791311405748001b0rx","lastModified":"2026-11-04T19:31:39Z","speakers":[],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Gamified learning"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Migration & Modernization"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Entrepreneur (Founder/Co-Founder)"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":70,"repeats":[{"id":"1785256472094001dcYg","shortId":"GHJ203-R","startDateTime":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","startTime":"12:00","endTime":"14:00","day":"Tuesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442222761001cmMF","hash":"04121b3fc49d66590a65dbcb5df091be","shortId":"SEC204","title":"Post-quantum readiness at scale with AWS and DXC Technology","abstract":"Post-quantum migrations succeed when organizations can discover cryptographic assets, assign ownership, and continuously manage risk. Organisations are facing a rapid increase in machine identities, service identities, APIs, containers, AI workloads, and other cryptographic assets. At the same time, certificate lifetimes continue to shrink, making manual lifecycle management increasingly unsustainable. AWS and DXC Technology show how enterprise governance connects with crypto agility. See how DXC built a cryptographic asset intelligence and orchestration platform on AWS to discover and correlate assets across AWS and enterprise PKI, automate certificate lifecycles, and assess post-quantum readiness. A live proof of concept demonstrates inventory, prioritization, and continuous reassessment. Leave with an operating model aligned with NIST and CNSA 2.0 timelines.","startDateTime":"2026-12-04T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-04T19:30:00.000Z","endDateTime":"2026-12-04T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025553205001CWdF","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408478079001ulZf_17746331reinvent2026","displayName":"Rushir Patel","name":"Rushir Patel","firstName":"Rushir","lastName":"Patel","company":"AWS"},{"id":"1791819808926001dnGg_17746331reinvent2026","displayName":"Douglas Skirving","name":"Douglas Skirving","firstName":"Douglas","lastName":"Skirving","company":"DXC Technology"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Friday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Cryptography and Post-Quantum"}],"industry":[],"role":[{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780441488777001GRzl","hash":"1fb5ea2fbd2ad8b0418e4596b983e2dd","shortId":"ARC208-S","title":"Powering Agentic AI with Real - Time Market Data Transformation for LSEG (sponsored by AMD)","abstract":"Traditional 1:4 CPU-to-GPU architectures are evolving as agentic AI increases demand for orchestration, analytics, retrieval, and database processing. Join AWS, AMD, and LSEG to learn how organizations are building AI-ready infrastructure with Amazon EC2 and AWS Outposts powered by 5th Gen AMD EPYC™ processors. Hear how LSEG modernized a 7,500-system estate supporting 120 million financial instruments, achieved sub-4ms latency targets, and accelerated its cloud-native transformation. Discover how customers are improving price-performance, lowering infrastructure costs by more than 30%, and creating a scalable foundation for AI, analytics, and mission-critical workloads. This presentation is brought to you by AMD, an AWS Partner.","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790034530877001psCi","lastModified":"2026-11-06T01:41:08Z","speakers":[{"id":"1740662210944001unGv_17746331reinvent2026","displayName":"Mike Thompson","name":"Mike Thompson","firstName":"Mike","lastName":"Thompson","company":"AMD"},{"id":"1727459476216001GbmG_17746331reinvent2026","displayName":"Madhusudhan Rangarajan","name":"Madhusudhan Rangarajan","firstName":"Madhusudhan","lastName":"Rangarajan","company":"AMD"},{"id":"1737993995800001Ne5l_17746331reinvent2026","displayName":"Stefano Amico","name":"Stefano Amico","firstName":"Stefano","lastName":"Amico","company":"Amazon Web Services"},{"id":"1791552749441001Sx6x_17746331reinvent2026","displayName":"Stuart Bunyan","name":"Stuart Bunyan","firstName":"Stuart","lastName":"Bunyan","company":"LSEG"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Red Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Sales / Marketing"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780442271758001cdox","hash":"d67d62187d2e642a4975329b29bb1b99","shortId":"DAT202-S","title":"Powering Interactive Agents with Live Context (sponsored by Materialize)","abstract":"How do you keep an agent's understanding of the world fresh enough for it to act on? Interactive agents need current context about the customers, orders, inventory, accounts, and other entities they reason about. But assembling that context from constantly changing operational systems is complex, forcing teams to choose between stale data, expensive recomputation, or complex pipelines. This talk will show how to build continuously updated context in SQL that is trustworthy enough for agents to rely upon. You'll learn how to transform operational data into agent-ready representations, keep attributes and relationships up to date as the underlying data changes, and propagate those changes to search indexes and embeddings when needed. Attend if you're deploying AI agents to production and want to give them fresher, more complete context and tighten their read-act-react loop. This presentation is brought to you by Materialize, an AWS Partner.","startDateTime":"2026-12-02T01:30:00.000Z","startTime":"17:30","startTimeFormatted":"2026-12-02T01:30:00.000Z","endDateTime":"2026-12-02T01:50:00.000Z","endTime":"17:50","sessionTimeId":"1790033125827001qRYB","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1753289164873001DemE_17746331reinvent2026","displayName":"Nate Stewart","name":"Nate Stewart","firstName":"Nate","lastName":"Stewart","company":"Materialize"}],"venueRoomName":"Level 2 | Hall B | Expo | Global Impact Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"Amazon Managed Streaming for Apache Kafka (Amazon MSK)"},{"id":"Services","displayName":"Amazon RDS for PostgreSQL"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Event-Driven Architecture"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Data Engineer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780441461478001GhT8","hash":"7fedc5850481cfd9711b492147ce6796","shortId":"ANT433","title":"Powering your agentic AI experience with AWS streaming and messaging","abstract":"Organizations are accelerating innovation with generative and agentic AI and getting there depends on a handful of real-time data primitives: durable, high-throughput ingestion; stream processing and enrichment; low-latency, event-driven delivery; and a scalable place to land and serve data. In this session, learn how these primitives come together to power the real-time patterns behind agentic AI and where each one fits: streaming into a real-time semantic layer for fresh retrieval context, event-driven agent invocation so agents act the instant something happens, and continuously sourcing agentic data stores with live data. Following a single transaction end to end, we'll show where each primitive breaks when the consumer is an agent, the design decisions you still own, and a reference architecture you can apply right away.","startDateTime":"2026-12-03T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-03T22:30:00.000Z","endDateTime":"2026-12-03T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025546245001CRZk","lastModified":"2026-11-02T20:17:41Z","speakers":[{"id":"1790005264627001dV4m_17746331reinvent2026","displayName":"Sarang Bapat","name":"Sarang Bapat","firstName":"Sarang","lastName":"Bapat","company":"United Airlines"},{"id":"1729114171091001HvRP_17746331reinvent2026","displayName":"John Morkel","name":"John Morkel","firstName":"John","lastName":"Morkel","company":"Amazon Web Services"},{"id":"1725408340591001uJIm_17746331reinvent2026","displayName":"Subham Rakshit","name":"Subham Rakshit","firstName":"Subham","lastName":"Rakshit","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Kinesis Data Streams"},{"id":"Services","displayName":"Amazon Managed Streaming for Apache Kafka (Amazon MSK)"},{"id":"Services","displayName":"Amazon Simple Queue Service (Amazon SQS)"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":256},{"id":"1780442283440001cY9O","hash":"9b1d2ea01d79184a409814e393cdd9e8","shortId":"PEX403-R","title":"Powering Your Forward Deployed Engineers with Kiro and AIDLC","abstract":"Learn how to power your Forward Deployed Engineers with AI-driven delivery in this hands-on workshop. Work through a full agentic-driven development lifecycle using Kiro: elaborate requirements, generate domain models and code, produce tests and IaC, and deploy, all while staying in control of architecture decisions. Along the way, see how partners scaled persona-based agents across the SDLC, with gains of 2-10X velocity, 3-5X productivity, and 50-70% reduction in design cycle time. Leave with a repeatable approach your teams can apply on the next engagement, and the next, sharpening your AI-driven delivery.","startDateTime":"2026-12-01T20:30:00.000Z","startTime":"12:30","startTimeFormatted":"2026-12-01T20:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025503503001CGUI","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1740506875921001lwqt_17746331reinvent2026","displayName":"Mansi Suratwala","name":"Mansi Suratwala","firstName":"Mansi","lastName":"Suratwala","company":"Amazon Web Services (AWS)"},{"id":"1756397046135001xYCG_17746331reinvent2026","displayName":"Fabio Braga de Oliveira","name":"Fabio Braga de Oliveira","firstName":"Fabio","lastName":"Braga de Oliveira","company":""}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Tech for Impact"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":150,"repeats":[{"id":"1790358244812001it3C","shortId":"PEX403-R1","startDateTime":"2026-12-02T20:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","startTime":"12:30","endTime":"14:30","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358244812001it3C","hash":"c4c683b85fe3bd624189bfbdacc7182b","shortId":"PEX403-R1","title":"Powering Your Forward Deployed Engineers with Kiro and AIDLC","abstract":"Learn how to power your Forward Deployed Engineers with AI-driven delivery in this hands-on workshop. 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Leave with a repeatable approach your teams can apply on the next engagement, and the next, sharpening your AI-driven delivery.","startDateTime":"2026-12-02T20:30:00.000Z","startTime":"12:30","startTimeFormatted":"2026-12-02T20:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790360378752001APLY","lastModified":"2026-11-05T23:07:34Z","speakers":[{"id":"1740506875921001lwqt_17746331reinvent2026","displayName":"Mansi Suratwala","name":"Mansi Suratwala","firstName":"Mansi","lastName":"Suratwala","company":"Amazon Web Services (AWS)"},{"id":"1756397046135001xYCG_17746331reinvent2026","displayName":"Fabio Braga de Oliveira","name":"Fabio Braga de Oliveira","firstName":"Fabio","lastName":"Braga de Oliveira","company":""}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Tech for Impact"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":84,"repeats":[{"id":"1780442283440001cY9O","shortId":"PEX403-R","startDateTime":"2026-12-01T20:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","startTime":"12:30","endTime":"14:30","day":"Tuesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1790358239238001inZz","hash":"0999d67d33d0f8a035a84300ff853563","shortId":"ANT419-R1","title":"Power streaming analytics on AWS with AI-driven insights","abstract":"Learn how to build a modern, streaming analytics solution for real-time data processing and power it with agentic AI capabilities to analyze events and extract patterns for actionable responses. This session will provide a hands-on experience on building a streaming solution using Amazon Managed Streaming for Apache Kafka for real-time data ingestion, using Amazon Managed Service for Apache Flink for complex event processing, and Strands Agents on Amazon Bedrock Agent Core to take immediate action. 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They have unique compute requirements, isolation between tenants, networking that connects to tools and APIs, and infrastructure that scales with unpredictable workloads. In this builders session, deploy an agentic AI application on Amazon ECS with AWS Fargate and take advantage of what containers give you, including task isolation, unlimited runtime for long-running agent conversations, VPC networking for secure tool access, and Service Connect for multi-agent communication. Bring your laptop to build alongside an AWS expert.","startDateTime":"2026-12-02T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025523568001CaI7","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1763756167820001DkDN_17746331reinvent2026","displayName":"Suguna Devarla","name":"Suguna Devarla","firstName":"Suguna","lastName":"Devarla","company":"Amazon"},{"id":"1725033184724001yT1r_17746331reinvent2026","displayName":"Ashok Srirama","name":"Ashok Srirama","firstName":"Ashok","lastName":"Srirama","company":"Amazon Web Services"},{"id":"1731622779267001Bi2v_17746331reinvent2026","displayName":"Raj Bagwe","name":"Raj Bagwe","firstName":"Raj","lastName":"Bagwe","company":"AWS"},{"id":"1767721355848001TQig_17746331reinvent2026","displayName":"Shamanth Devagari","name":"Shamanth Devagari","firstName":"Shamanth","lastName":"Devagari","company":"Amazon Web Services"},{"id":"1740074644721001E7iC_17746331reinvent2026","displayName":"Sathya Balakrishnan","name":"Sathya Balakrishnan","firstName":"Sathya","lastName":"Balakrishnan","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Builders' Session 1","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Container Service (Amazon ECS)"},{"id":"Services","displayName":"AWS Fargate"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1790358252647001iT1J","shortId":"CON317-R1","startDateTime":"2026-12-03T21:30:00.000Z","endDateTime":"2026-12-03T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Thursday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358252647001iT1J","hash":"737a65cbe467b263d16843ab2ee129d5","shortId":"CON317-R1","title":"Productionize, secure, and scale agentic applications on Amazon ECS","abstract":"AI agents are easy to prototype but hard to run in production. 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Bring your laptop to build alongside an AWS expert.","startDateTime":"2026-12-03T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-03T21:30:00.000Z","endDateTime":"2026-12-03T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790360380936001ARjZ","lastModified":"2026-11-02T19:28:13Z","speakers":[{"id":"1763756167820001DkDN_17746331reinvent2026","displayName":"Suguna Devarla","name":"Suguna Devarla","firstName":"Suguna","lastName":"Devarla","company":"Amazon"},{"id":"1731622779267001Bi2v_17746331reinvent2026","displayName":"Raj Bagwe","name":"Raj Bagwe","firstName":"Raj","lastName":"Bagwe","company":"AWS"},{"id":"1725033184724001yT1r_17746331reinvent2026","displayName":"Ashok Srirama","name":"Ashok Srirama","firstName":"Ashok","lastName":"Srirama","company":"Amazon Web Services"},{"id":"1767721355848001TQig_17746331reinvent2026","displayName":"Shamanth Devagari","name":"Shamanth Devagari","firstName":"Shamanth","lastName":"Devagari","company":"Amazon Web Services"},{"id":"1740074644721001E7iC_17746331reinvent2026","displayName":"Sathya Balakrishnan","name":"Sathya Balakrishnan","firstName":"Sathya","lastName":"Balakrishnan","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Container Service (Amazon ECS)"},{"id":"Services","displayName":"AWS Fargate"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1780442226358001c8pg","shortId":"CON317-R","startDateTime":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Wednesday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Forum 120 | Content Hub | Builders' Session 1"}]},{"id":"1780442231438001clcu","hash":"55c21b921c5949164bf5f06b4b40f0a5","shortId":"SVS314-R","title":"Production-ready Lambda: Security and performance patterns","abstract":"A Lambda function that handles traffic well in prototype isn't necessarily production-ready—there's a gap between \"works\" and \"hardened.\" In this builders' session, take a working Lambda function and add the security and performance layers that production demands. You'll implement least-privilege IAM policies, add request validation and secrets management, reduce cold start duration with SnapStart and right-sized memory, and configure reserved concurrency for predictable performance under load. Each change includes the trade-off: what you gain, what it costs, and when to skip it. Bring your laptop.","startDateTime":"2026-12-03T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-03T22:30:00.000Z","endDateTime":"2026-12-03T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025547591001Cas9","lastModified":"2026-11-02T19:35:31Z","speakers":[{"id":"1770343662169001t4Mj_17746331reinvent2026","displayName":"Ezzel Mohammed","name":"Ezzel Mohammed","firstName":"Ezzel","lastName":"Mohammed","company":"Amazon Web Services"},{"id":"1725408302076001uCgi_17746331reinvent2026","displayName":"Parnab Basak","name":"Parnab Basak","firstName":"Parnab","lastName":"Basak","company":"Amazon Web Services"},{"id":"1739197651646001XVYQ_17746331reinvent2026","displayName":"Sahil Bhimjiani","name":"Sahil Bhimjiani","firstName":"Sahil","lastName":"Bhimjiani","company":"Amazon Web Services"},{"id":"1725408314202001uytF_17746331reinvent2026","displayName":"John Lee","name":"John Lee","firstName":"John","lastName":"Lee","company":"AWS"},{"id":"1756987676640001cvTB_17746331reinvent2026","displayName":"Abhishek Agawane","name":"Abhishek Agawane","firstName":"Abhishek","lastName":"Agawane","company":"AWS"}],"venueRoomName":"Level 1 | Alliance 311","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"},{"id":"Services","displayName":"AWS Lambda"},{"id":"Services","displayName":"AWS Secrets Manager"}],"topics":[{"id":"Topic","displayName":"Application Integration"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Lambda-Based Applications"},{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1790358226374001i7iS","shortId":"SVS314-R1","startDateTime":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358226374001i7iS","hash":"513af52cea19f7102406e12de0c0c3d1","shortId":"SVS314-R1","title":"Production-ready Lambda: Security and performance patterns","abstract":"A Lambda function that handles traffic well in prototype isn't necessarily production-ready—there's a gap between \"works\" and \"hardened.\" In this builders' session, take a working Lambda function and add the security and performance layers that production demands. 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See the opportunity behind them, and how your AI coding agent can build one with the Ring MCP server and Amazon Bedrock.","startDateTime":"2026-12-03T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-03T21:30:00.000Z","endDateTime":"2026-12-03T21:50:00.000Z","endTime":"13:50","sessionTimeId":"1790033119449001q60T","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1789510065215001Ikhs_17746331reinvent2026","displayName":"Harish Komaragiri","name":"Harish Komaragiri","firstName":"Harish","lastName":"Komaragiri","company":"Amazon"}],"venueRoomName":"Level 2 | Hall B | Expo | Global Impact Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[{"id":"Services","displayName":"Amazon Kinesis Video Streams"},{"id":"Services","displayName":"AWS Lambda"},{"id":"Services","displayName":"AWS Marketplace"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Amazon Builds on AWS"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442265339001c4R2","hash":"e56d286b791f35a2f2a4eb38b7ff3614","shortId":"SEC377","title":"Protect EKS and ECS workloads without chasing pod IPs","abstract":"Pod IPs in Kubernetes change constantly as containers scale and restart, making IP-based firewall rules brittle and hard to maintain. 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Whether you are tuning a model, sizing instances for production, or just curious about what the community has been shipping, come get a grounded view of where things stand.","startDateTime":"2026-12-01T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-01T00:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790033115373001qijG","lastModified":"2026-11-02T12:39:57Z","speakers":[{"id":"1729714495560001YBuS_17746331reinvent2026","displayName":"Juan Mestre","name":"Juan Mestre","firstName":"Juan","lastName":"Mestre","company":"AWS"},{"id":"1770344023879001GgB6_17746331reinvent2026","displayName":"Hellen Rosa","name":"Hellen Rosa","firstName":"Hellen","lastName":"Rosa","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"Amazon EC2 Linux"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Sustainability"},{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":120},{"id":"1780441494353001G2Se","hash":"ae8c3e21b187f2356dfad349f5d5d2f5","shortId":"INV518","title":"Quantum Error Correction - Progress, Hardware, and What's Next","abstract":"Quantum computers have the potential to solve some of today's most challenging computational problems — but they suffer from significantly higher error rates than their classical counterparts. In this talk, we introduce quantum error correction (QEC) and compare the hardware requirements of leading QEC methods against the commercial roadmaps of quantum hardware companies. To ground the discussion, we begin with a brief revisit of classical error correction before walking through recent breakthroughs in quantum error correction. Attendees will leave with an informed perspective on where QEC stands today and the challenges that will define the field's progress in the coming years.","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025511872001CrK5","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1756396929837001xlUa_17746331reinvent2026","displayName":"Tyler Takeshita","name":"Tyler Takeshita","firstName":"Tyler","lastName":"Takeshita","company":"AWS"},{"id":"1788385787378001Khie_17746331reinvent2026","displayName":"Mao Lin","name":"Mao Lin","firstName":"Mao","lastName":"Lin","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[{"id":"Services","displayName":"Amazon Braket"},{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"}],"topics":[{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Quantum Technologies"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Tech Explorer"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780442284055001c934","hash":"db5a08b921bd7fb365c0a75e03ded5ad","shortId":"SEC357","title":"Quantum-proof your IoT fleet: migrate devices to Post-quantum cryptography OTA","abstract":"NIST has announced post-quantum cryptography (PQC) standards and CNSA 2.0 requires quantum-resistant algorithms by 2027. IoT devices deployed today operate for 10–20 years, so they need to be quantum-resistant from day one. In this workshop, migrate a real ESP32-S3 SoC from classical TLS to post-quantum cryptography over the air with zero physical access required. Connect to AWS IoT Core, trigger an OTA delivering ML-KEM and ML-DSA with quantum-safe certificates from AWS Private CA, and watch your device reboot into PQC-secured MQTT. No embedded experience needed. 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In this session, you work through scenarios with competing demands: exactly-once processing, tenant isolation, back pressure, and ordering. Using SQS and Lambda, you configure queue types and concurrency controls, tune batching behavior, and observe how your consumer scales under each configuration. Each scenario forces a trade-off between throughput, ordering, isolation, and cost. You leave knowing which trade-offs to accept for your workload and why.\n\nBring your laptop to participate.","startDateTime":"2026-12-01T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-01T19:30:00.000Z","endDateTime":"2026-12-01T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025500090001Ca1I","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1740416462258001MELV_17746331reinvent2026","displayName":"Michael Orman","name":"Michael Orman","firstName":"Michael","lastName":"Orman","company":"Amazon Web Services"},{"id":"1725565409747001adNF_17746331reinvent2026","displayName":"NS Sabah","name":"NS Sabah","firstName":"NS","lastName":"Sabah","company":"AWS"},{"id":"1725408314202001uytF_17746331reinvent2026","displayName":"John Lee","name":"John Lee","firstName":"John","lastName":"Lee","company":"AWS"},{"id":"1730415487650001rAxn_17746331reinvent2026","displayName":"Bailey (Sohyeon) Cho","name":"Bailey (Sohyeon) Cho","firstName":"Bailey","lastName":"(Sohyeon) Cho","company":"Amazon Web Services"},{"id":"1725408314355001u6Ef_17746331reinvent2026","displayName":"Justin McGinnity","name":"Justin McGinnity","firstName":"Justin","lastName":"McGinnity","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Simple Queue Service (Amazon SQS)"},{"id":"Services","displayName":"AWS Lambda"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Event-Driven Architecture"},{"id":"AreaofInterest","displayName":"Lambda-Based Applications"}],"industry":[],"role":[{"id":"Role","displayName":"Advisor / Consultant"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780442281828001cBdC","hash":"62fa40a0b55fc9961e7aebf0476dcbdd","shortId":"MAM307","title":"Race to migrate and modernize with agentic AI at the EBA cloud party","abstract":"Imagine compressing months of cloud migration and modernization into days, tackling legacy code, tight timelines, and cross-team coordination head-on. That's exactly what the Experience-Based Acceleration (EBA) method delivers. In this hands-on, gamified EBA workshop, cross-functional squads split into workstreams and race to migrate and modernize a legacy app and its databases, apply cloud best practices, and deploy the transformed architecture, all in the cloud. Experience firsthand how EBA shatters silos and compresses migration and modernization from months into days with AWS Transform and Kiro.  You'll get repeatable playbook your team can run on Monday. 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In this chalk talk, learn how Amazon FSx for NetApp ONTAP's built in Autonomous Ransomware Protection uses machine learning to catch abnormal file activity and automatically create protective snapshots before damage spreads. We cover configuring detection policies, integrating alerts with AWS security services, locking down recovery points with SnapLock, and building automated response workflows. Bring your questions as we design a defense in depth strategy together, one that gets your file data back fast when an attack happens, not just one that flags it. ","startDateTime":"2026-12-02T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025516519001CafJ","lastModified":"2026-11-06T01:28:44Z","speakers":[{"id":"1725408474665001uAIr_17746331reinvent2026","displayName":"Jay Horne","name":"Jay Horne","firstName":"Jay","lastName":"Horne","company":"AWS"},{"id":"1793038944334001wMbR_17746331reinvent2026","displayName":"Luba Vaisberg","name":"Luba Vaisberg","firstName":"Luba","lastName":"Vaisberg","company":"NetApp"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon FSx for NetApp ONTAP"}],"topics":[{"id":"Topic","displayName":"Security & Identity"},{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"IT Administrator"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82},{"id":"1780442248077001cZzc","hash":"95810ae398aeed604bfa2a36557572b9","shortId":"NET330","title":"Ready before the surge - smart ELB capacity reservations","abstract":"Your Load Balancer scales automatically for most traffic, and now you can prepare it for predictable spikes before they arrive. Product launches, flash sales, live events, and Monday-morning market opens deserve a load balancer that's ready instantly. Load Balancer Capacity Unit (LCU) Reservation pre-provisions a capacity floor so your infrastructure is never caught cold. In this session, we introduce new capacity management capabilities across ALB, NLB, and GLB that turn reservation planning into a data-driven workflow. Learn how to analyze historical patterns, set the right capacity floor, and release reservations with confidence.","startDateTime":"2026-12-04T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-04T00:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025550678001C0MO","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408376621001uR4e_17746331reinvent2026","displayName":"Ikenna Izugbokwe","name":"Ikenna Izugbokwe","firstName":"Ikenna","lastName":"Izugbokwe","company":"Amazon"},{"id":"1764187417383001nnRz_17746331reinvent2026","displayName":"Hema Halagatti","name":"Hema Halagatti","firstName":"Hema","lastName":"Halagatti","company":"Amazon Web Services (AWS)"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Elastic Load Balancing (ELB)"}],"topics":[{"id":"Topic","displayName":"Networking & Content Delivery"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780442231947001cBRV","hash":"49495b636727a28a3db466cf7d22f01a","shortId":"ANT306-R","title":"Real-time agentic architecture on AWS: from batch to real-time AI","abstract":"Batch  jobs and cron schedules fail silently and delay agentic AI outcomes: a missed run, a  stuck lock, or a partial write goes unnoticed, adding lag between the moment  an event occurs and the moment an agent responds. This advanced deep dive  rethinks the architecture—loosely coupled services that deploy and fail  independently, wired through events. We show how shifting transactional and  analytical workloads to real-time, event-driven patterns fuels responsive  agentic AI on AWS. ","startDateTime":"2026-12-02T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-02T21:00:00.000Z","endDateTime":"2026-12-02T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025521171001C3G8","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725566540623001SBWP_17746331reinvent2026","displayName":"Chinmayi Narasimhadevara","name":"Chinmayi Narasimhadevara","firstName":"Chinmayi","lastName":"Narasimhadevara","company":"Amazon Web Services"},{"id":"1790612005962001e34Q_17746331reinvent2026","displayName":"Ankita Mishra","name":"Ankita Mishra","firstName":"Ankita","lastName":"Mishra","company":"Amazon"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Kinesis Data Streams"},{"id":"Services","displayName":"Amazon Managed Streaming for Apache Kafka (Amazon MSK)"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1790358250876001igqj","shortId":"ANT306-R1","startDateTime":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","startTime":"11:30","endTime":"12:30","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1790358250876001igqj","hash":"4945179fdbc093c97f8120052939db40","shortId":"ANT306-R1","title":"Real-time agentic architecture on AWS: from batch to real-time AI","abstract":"\nBatch  jobs and cron schedules fail silently and delay agentic AI outcomes: a missed run, a  stuck lock, or a partial write goes unnoticed, adding lag between the moment  an event occurs and the moment an agent responds. This advanced deep dive  rethinks the architecture—loosely coupled services that deploy and fail  independently, wired through events. We show how shifting transactional and  analytical workloads to real-time, event-driven patterns fuels responsive  agentic AI on AWS. ","startDateTime":"2026-12-03T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790360369133001A4PA","lastModified":"2026-11-04T22:12:19Z","speakers":[{"id":"1790612005962001e34Q_17746331reinvent2026","displayName":"Ankita Mishra","name":"Ankita Mishra","firstName":"Ankita","lastName":"Mishra","company":"Amazon"},{"id":"1725566540623001SBWP_17746331reinvent2026","displayName":"Chinmayi Narasimhadevara","name":"Chinmayi Narasimhadevara","firstName":"Chinmayi","lastName":"Narasimhadevara","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Kinesis Data Streams"},{"id":"Services","displayName":"Amazon Managed Streaming for Apache Kafka (Amazon MSK)"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780442231947001cBRV","shortId":"ANT306-R","startDateTime":"2026-12-02T21:00:00.000Z","endDateTime":"2026-12-02T22:00:00.000Z","startTime":"13:00","endTime":"14:00","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442245419001c4jY","hash":"4a85f631bfe681b630409f6e96979c0e","shortId":"IND3303","title":"Real-time AI video enrichment with AWS Elemental Inference","abstract":"Retrofitting videos to add subtitles, vertical formats, social cuts, and searchable metadata often means new encoders, manual editors, and multiple integrations. In this chalk talk, explore how AWS Elemental Inference can help extend reach, enhance engagement, and improve monetization by layering subtitling, vertical framing, key-moment clipping, and contextual metadata onto live and on-demand video without rebuilding your stack. Learn about the benefits of a single managed service that will improve latency, quality, and lower costs for video workflows.","startDateTime":"2026-12-03T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025530919001CXx3","lastModified":"2026-11-05T18:52:48Z","speakers":[{"id":"1725408380194001ukUu_17746331reinvent2026","displayName":"Phil Harrison","name":"Phil Harrison","firstName":"Phil","lastName":"Harrison","company":"AWS Elemental"},{"id":"1787937100358001GH8C_17746331reinvent2026","displayName":"Kiran Patel","name":"Kiran Patel","firstName":"Kiran","lastName":"Patel","company":"AWS"},{"id":"1791841220970001kTd7_17746331reinvent2026","displayName":"Vipul Patel","name":"Vipul Patel","firstName":"Vipul","lastName":"Patel","company":"Comcast Technology Solutions"}],"venueRoomName":"Level 1 | Academy 417","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Media & Entertainment"}],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Entrepreneur (Founder/Co-Founder)"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1780441475074001G9XT","hash":"141a7fdd1eff562ad158125d612ef6d4","shortId":"HMC304","title":"Real-world migrations: Lessons learned migrating to AWS Outposts","abstract":"Organizations with data residency and digital sovereignty requirements face a critical question: how do you move workloads from on-premises infrastructure to AWS Outposts without disrupting compliance posture or operations? This Level 300 session distills lessons from migrating customers to Outposts across industries, organization sizes, and migration strategies, featuring SERPRO, Brazil's federal data processing company, and AT&T, migrating telecom workloads at scale. The session walks through the processes that delivered results, the quantifiable outcomes measured, and the critical mistakes to avoid. Learn how to select the right migration approach and navigate common blockers. 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Learn how to run non-disruptive recovery drills against your own environment and prove your RTOs before an incident does it for you.","startDateTime":"2026-12-02T22:00:00.000Z","startTime":"14:00","startTimeFormatted":"2026-12-02T22:00:00.000Z","endDateTime":"2026-12-02T22:20:00.000Z","endTime":"14:20","sessionTimeId":"1790033110910001qnQh","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1790116152879001PQSy_17746331reinvent2026","displayName":"Pritam Bhalerao","name":"Pritam Bhalerao","firstName":"Pritam","lastName":"Bhalerao","company":"Amazon Web Services Inc."}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Elastic Disaster Recovery"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Data Protection"},{"id":"AreaofInterest","displayName":"Disaster Response & Recovery"},{"id":"AreaofInterest","displayName":"Resilience"}],"industry":[],"role":[{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1780442241644001cgxH","hash":"a5cb4da869127fdb52969f96b962adbf","shortId":"COP368","title":"Recovering AWS Graviton workloads with orchestrated Disaster Recovery","abstract":"You moved to AWS Graviton for better price-performance, but is your disaster recovery keeping pace? A recovery that lands on the wrong architecture, or brings tiers up out of order, turns a routine failover into an outage. In this chalk talk, whiteboard with disaster recovery experts how AWS Elastic Disaster Recovery (DRS) now protects Graviton-based (arm64) Linux servers and recovers them onto Graviton instances, keeping the architecture intact end to end with nothing extra to configure. Then design a recovery plan that brings your application back tier by tier, in the right order, with wait times and critical-server gates. 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The talk will end with a discussion on the future of human-AI collaboration.","startDateTime":"2026-12-02T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-02T00:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1791396498328001XihV","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1791442627078001A0c5_17746331reinvent2026","displayName":"Yu Su","name":"Yu Su","firstName":"Yu","lastName":"Su","company":"NeoCognition"}],"venueRoomName":"Level 1 | Forum 103","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1780442275158001c3mA","hash":"323d5b584f9103c19879495bb99687d8","shortId":"ARC313-R","title":"Red, green, re-architect: Test-driven infrastructure","abstract":"AI can write your infrastructure in seconds — but did it build what you asked for? In this workshop, you'll apply test-driven development to AI-generated infrastructure. Describe your architecture in plain English, then use Kiro's spec-driven development to decompose it into discrete, testable behaviors. Kiro iterates through each one: writing a failing CDK assertion that encodes it (red), generating minimal infrastructure to pass it (green), then advancing to the next. Once green, refactor toward production readiness using cdk-nag rule packs to enforce Well-Architected practices. Leave with meaningful test coverage and a repeatable pattern for raising your organization's infrastructure coding standards.\n\nBring your laptop to participate.","startDateTime":"2026-12-03T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-12-03T23:30:00.000Z","endDateTime":"2026-12-04T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025549812001Co1P","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1740388140512001Z5ml_17746331reinvent2026","displayName":"Aoife Egan","name":"Aoife Egan","firstName":"Aoife","lastName":"Egan","company":"Amazon Web Services (AWS)"},{"id":"1725651206520001DIZS_17746331reinvent2026","displayName":"Sanket Nasre","name":"Sanket Nasre","firstName":"Sanket","lastName":"Nasre","company":"Amazon Web Services Inc."}],"venueRoomName":"Level 1 | Forum 101","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Cloud Development Kit (AWS CDK)"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Well-Architected Framework"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140,"repeats":[{"id":"1790358246195001if7N","shortId":"ARC313-R1","startDateTime":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","startTime":"15:00","endTime":"17:00","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358246195001if7N","hash":"18945446745f3142df17e11052bdabea","shortId":"ARC313-R1","title":"Red, green, re-architect: Test-driven infrastructure","abstract":"AI can write your infrastructure in seconds — but did it build what you asked for? 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Leave with meaningful test coverage and a repeatable pattern for raising your organization's infrastructure coding standards.\n\nBring your laptop to participate.","startDateTime":"2026-12-02T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790360379864001AxI3","lastModified":"2026-11-04T22:12:19Z","speakers":[{"id":"1725651206520001DIZS_17746331reinvent2026","displayName":"Sanket Nasre","name":"Sanket Nasre","firstName":"Sanket","lastName":"Nasre","company":"Amazon Web Services Inc."},{"id":"1740388140512001Z5ml_17746331reinvent2026","displayName":"Aoife Egan","name":"Aoife Egan","firstName":"Aoife","lastName":"Egan","company":"Amazon Web Services (AWS)"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Cloud Development Kit (AWS CDK)"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Well-Architected Framework"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":112,"repeats":[{"id":"1780442275158001c3mA","shortId":"ARC313-R","startDateTime":"2026-12-03T23:30:00.000Z","endDateTime":"2026-12-04T01:30:00.000Z","startTime":"15:30","endTime":"17:30","day":"Thursday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Forum 101"}]},{"id":"1780442283716001c7a8","hash":"c3ba42c9f5cf4ac5c16d83e3ca812e92","shortId":"SEC403","title":"Red team CTF: when auth and guardrails aren't enough","abstract":"The best way to secure an AI agent is to think like the attacker. In this CTF-style session, you start with a production-realistic agent - AgentCore runtime, Bedrock Guardrails, Cognito authentication, and three MCP tools - and you systematically exploit it. Across 6 challenges, you poison trusted data sources, bypass prompt-level access control, jailbreak an authenticated session, compromise a third-party MCP server, exfiltrate data through authorized channels, and burn the inference budget. After each breach, you enable the real fix and verify the attack fails. You will compete on a live leaderboard and leave with a fully hardened agent and a defense-in-depth playbook. ","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790033116101001qenM","lastModified":"2026-11-02T19:35:31Z","speakers":[{"id":"1737662847669001N1Zm_17746331reinvent2026","displayName":"JaQuan Thompson","name":"JaQuan Thompson","firstName":"JaQuan","lastName":"Thompson","company":"AWS"},{"id":"1738635959219001VyzY_17746331reinvent2026","displayName":"Mac Stevens","name":"Mac Stevens","firstName":"Mac","lastName":"Stevens","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Cognito"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140},{"id":"1780441469428001GbI0","hash":"1cf0492b4a951b2b8a22d19da73a60da","shortId":"DAT440","title":"Red teaming Aurora and gen AI: offense, defense, response","abstract":"Databases and generative AI workloads are high-value targets that demand continuous adversarial testing. In this session, learn how AWS red team engineers use AI to discover innovative ways to strengthen Amazon Aurora and other cloud-native database services against modern threats. Explore how red team findings shape architectural decisions that contain blast radius by design, and how AI-augmented detection and response mechanisms close the loop at machine speed. Learn a practical framework for red teaming cloud environments and AI systems, designing for assumed breach, and building response capabilities that match the velocity of modern threats.","startDateTime":"2026-12-02T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-02T17:00:00.000Z","endDateTime":"2026-12-02T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025514333001Cl0D","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1746594877738001IiaW_17746331reinvent2026","displayName":"Alexander Rubin","name":"Alexander Rubin","firstName":"Alexander","lastName":"Rubin","company":"Amazon Web Services"},{"id":"1787937053858001Gjzj_17746331reinvent2026","displayName":"Will Sovran","name":"Will Sovran","firstName":"Will","lastName":"Sovran","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Aurora"}],"topics":[{"id":"Topic","displayName":"Databases"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Culture of Security"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1790358236977001i1xK","hash":"2eb32b5ae26160492fe61686e6917100","shortId":"CMP319-R1","title":"Reduce EKS cluster compute costs with EC2 Flex instances","abstract":"Container orchestration promises to improve resource utilization, but often we find ourselves with nodes that over-provision CPU, and therefore overspend. This might happen when our workloads have a high memory footprint, or when the number of replicas is driven by resilience targets and not actual load. In this session, we'll learn how easy it is to save cost in these situations without losing performance by taking advantage of EC2 Flex instances (e.g., C8i-flex, M8i-flex, R8i-flex). You'll migrate existing EKS cluster nodes, monitor relevant metrics, and measure the actual cost improvement.","startDateTime":"2026-12-03T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-03T00:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790360380849001As0i","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1725408338561001uYcl_17746331reinvent2026","displayName":"Santosh Kumar","name":"Santosh Kumar","firstName":"Santosh","lastName":"Kumar","company":"AWS India"},{"id":"1725408467941001uaKt_17746331reinvent2026","displayName":"Saurabh Modh","name":"Saurabh Modh","firstName":"Saurabh","lastName":"Modh","company":"Amazon Web Services"},{"id":"1737471624366001SMVN_17746331reinvent2026","displayName":"Nati Cohen","name":"Nati Cohen","firstName":"Nati","lastName":"Cohen","company":"AWS"},{"id":"1740412202184001UIqw_17746331reinvent2026","displayName":"Christian Melendez","name":"Christian Melendez","firstName":"Christian","lastName":"Melendez","company":"AWS"},{"id":"1725408398136001uA0w_17746331reinvent2026","displayName":"Esra Kayabali","name":"Esra Kayabali","firstName":"Esra","lastName":"Kayabali","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"}],"topics":[{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Serverless"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1782172385910001iEJA","shortId":"CMP319-R","startDateTime":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","startTime":"10:00","endTime":"11:00","day":"Thursday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1782172385910001iEJA","hash":"4281ac5573d49a8b23b3d5b96a9750cb","shortId":"CMP319-R","title":"Reduce EKS cluster compute costs with EC2 Flex instances","abstract":"Container orchestration promises to improve resource utilization, but often we find ourselves with nodes that over-provision CPU, and therefore overspend. 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You'll migrate existing EKS cluster nodes, monitor relevant metrics, and measure the actual cost improvement.","startDateTime":"2026-12-03T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025536336001CU4g","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1725408338561001uYcl_17746331reinvent2026","displayName":"Santosh Kumar","name":"Santosh Kumar","firstName":"Santosh","lastName":"Kumar","company":"AWS India"},{"id":"1725408467941001uaKt_17746331reinvent2026","displayName":"Saurabh Modh","name":"Saurabh Modh","firstName":"Saurabh","lastName":"Modh","company":"Amazon Web Services"},{"id":"1737471624366001SMVN_17746331reinvent2026","displayName":"Nati Cohen","name":"Nati Cohen","firstName":"Nati","lastName":"Cohen","company":"AWS"},{"id":"1740412202184001UIqw_17746331reinvent2026","displayName":"Christian Melendez","name":"Christian Melendez","firstName":"Christian","lastName":"Melendez","company":"AWS"},{"id":"1725408398136001uA0w_17746331reinvent2026","displayName":"Esra Kayabali","name":"Esra Kayabali","firstName":"Esra","lastName":"Kayabali","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"}],"topics":[{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Serverless"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1790358236977001i1xK","shortId":"CMP319-R1","startDateTime":"2026-12-03T00:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","startTime":"16:30","endTime":"17:30","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442239174001c76m","hash":"ed97a2b385a816a7f5f0e49f0c34340f","shortId":"CON336","title":"Reduce incident response time on Amazon ECS with AI observability","abstract":"You get paged. Your ECS service is returning errors. You open six tabs, task logs, ALB metrics, deployment history, CloudWatch alarms, container health and start piecing together a timeline by hand. In this chalk talk, explore how AI-powered observability changes that workflow. See how CloudWatch Investigations ingests your existing telemetry, correlates signals across services and infrastructure, and produces root cause analysis in minutes instead of hours. Discuss how to structure logs and metrics so automated investigation actually works, and how Managed Daemons keep your collectors consistent without redeploying applications. 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In this talk, we explain how KV caching works and walk through a production architecture using Valkey as a high-performance datastore, LMCache for KV reuse at inference, and llm-d for cache-aware routing. You will leave with practical implementation guidance and a framework for evaluating when a KV caching tier is the right choice to reduce costs for your AI applications.","startDateTime":"2026-11-30T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-11-30T22:30:00.000Z","endDateTime":"2026-11-30T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025491437001CMIe","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408276754001uTWm_17746331reinvent2026","displayName":"Kevin McGehee","name":"Kevin McGehee","firstName":"Kevin","lastName":"McGehee","company":"Amazon"},{"id":"1727384312360001ts73_17746331reinvent2026","displayName":"Jeff Duffy","name":"Jeff Duffy","firstName":"Jeff","lastName":"Duffy","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Academy 417","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1790358254914001iJxs","shortId":"OPN405-R1","startDateTime":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","startTime":"10:00","endTime":"11:00","day":"Wednesday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Academy 409"}]},{"id":"1790358254914001iJxs","hash":"2c987e832ff17bfcbef3a2bec4b04da4","shortId":"OPN405-R1","title":"Reduce LLM inference costs up to 80% through caching with Valkey","abstract":"LLM inference depends on limited GPU memory, and a KV cache lets agentic AI applications reuse computed intermediate states across prompts to reduce latency and costs. 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This session will detail how computer vision and LLMs are creating the OR of the future, supported by Deloitte, to improve productivity and treat more patients in UK NHS Trusts. Attendees will gain insights into the practical application of this powerful alliance and why this innovative approach is vital for the future of healthcare. 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While legacy CloudSec relied on static scanning for visibility, today’s environments are dynamic, real-time, and increasingly autonomous, resulting in blind spots, excessive noise, and incomplete protection. We’ll examine how AI-driven and hybrid cloud architectures introduce new challenges across visibility, protection, and validation, from cross-provider gaps to real-time attack vectors and model vulnerabilities. To address this, Cloud and AI security must move beyond static analysis to a unified, runtime-driven approach. By continuously monitoring activity across the environment and embedding security throughout the SDLC, including production, organizations gain real-time context, better prioritization, and proactive threat mitigation. This presentation is brought to you by Upwind, an AWS Partner.","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025473441001CJDN","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"DevSecOps"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":162},{"id":"1793256744087001MGNY","hash":"a160b8e9c0ab2e7f144e7ae3b3242dff","shortId":"ACT068-R2","title":"re:Invent SWAG","abstract":"Eligible attendees can collect their exclusive conference swag at designated pickup locations in Hall C of the Venetian Convention Center. 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Note that eligibility for items may depend on your attendee pass type.","startDateTime":"2026-11-30T15:30:00.000Z","startTime":"07:30","startTimeFormatted":"2026-11-30T15:30:00.000Z","endDateTime":"2026-12-01T03:30:00.000Z","endTime":"19:30","sessionTimeId":"1793314821871001RPU1","lastModified":"2026-11-03T19:08:37Z","speakers":[],"venueRoomName":"Level 2 | Hall C | SWAG","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Monday","type":{"id":"Type","displayName":"Featured experience"},"services":[],"topics":[],"areaOfInterest":[],"industry":[],"role":[],"features":[],"seatCapacity":0,"repeats":[{"id":"1793256744087001MGNY","shortId":"ACT068-R2","startDateTime":"2026-12-02T17:30:00.000Z","endDateTime":"2026-12-03T02:00:00.000Z","startTime":"09:30","endTime":"18:00","day":"Wednesday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 2 | Hall C | SWAG"},{"id":"1793256708562001NsZG","shortId":"ACT068-R1","startDateTime":"2026-12-01T14:30:00.000Z","endDateTime":"2026-12-02T02:30:00.000Z","startTime":"06:30","endTime":"18:30","day":"Tuesday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 2 | Hall C | SWAG"},{"id":"1793256814383001LCtY","shortId":"ACT068-R","startDateTime":"2026-11-29T18:00:00.000Z","endDateTime":"2026-11-30T02:00:00.000Z","startTime":"10:00","endTime":"18:00","day":"Sunday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 2 | Hall C | SWAG"},{"id":"1793256779608001Y4T0","shortId":"ACT068-R3","startDateTime":"2026-12-03T17:30:00.000Z","endDateTime":"2026-12-04T00:30:00.000Z","startTime":"09:30","endTime":"16:30","day":"Thursday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 2 | Hall C | SWAG"}]},{"id":"1793256814383001LCtY","hash":"7a5425e7a6bf7b7834a51998187d7514","shortId":"ACT068-R","title":"re:Invent SWAG","abstract":"Eligible attendees can collect their exclusive conference swag at designated pickup locations in Hall C of the Venetian Convention Center. Attendees must present their valid conference badge to receive their items. Swag availability is limited and distributed on a first-come, first-served basis during official event hours. Note that eligibility for items may depend on your attendee pass type.","startDateTime":"2026-11-29T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-11-29T18:00:00.000Z","endDateTime":"2026-11-30T02:00:00.000Z","endTime":"18:00","sessionTimeId":"1793315148253001tdMs","lastModified":"2026-11-03T19:08:48Z","speakers":[],"venueRoomName":"Level 2 | Hall C | SWAG","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Sunday","type":{"id":"Type","displayName":"Featured experience"},"services":[],"topics":[],"areaOfInterest":[],"industry":[],"role":[],"features":[],"seatCapacity":0,"repeats":[{"id":"1793256744087001MGNY","shortId":"ACT068-R2","startDateTime":"2026-12-02T17:30:00.000Z","endDateTime":"2026-12-03T02:00:00.000Z","startTime":"09:30","endTime":"18:00","day":"Wednesday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 2 | Hall C | SWAG"},{"id":"1793256708562001NsZG","shortId":"ACT068-R1","startDateTime":"2026-12-01T14:30:00.000Z","endDateTime":"2026-12-02T02:30:00.000Z","startTime":"06:30","endTime":"18:30","day":"Tuesday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 2 | Hall C | SWAG"},{"id":"1793254906409001O5vF","shortId":"ACT068-R0","startDateTime":"2026-11-30T15:30:00.000Z","endDateTime":"2026-12-01T03:30:00.000Z","startTime":"07:30","endTime":"19:30","day":"Monday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 2 | Hall C | SWAG"},{"id":"1793256779608001Y4T0","shortId":"ACT068-R3","startDateTime":"2026-12-03T17:30:00.000Z","endDateTime":"2026-12-04T00:30:00.000Z","startTime":"09:30","endTime":"16:30","day":"Thursday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 2 | Hall C | SWAG"}]},{"id":"1793256779608001Y4T0","hash":"c2e52a6d379fa829854739aff2d1aac1","shortId":"ACT068-R3","title":"re:Invent SWAG","abstract":"Eligible attendees can collect their exclusive conference swag at designated pickup locations in Hall C of the Venetian Convention Center. Attendees must present their valid conference badge to receive their items. Swag availability is limited and distributed on a first-come, first-served basis during official event hours. Note that eligibility for items may depend on your attendee pass type.","startDateTime":"2026-12-03T17:30:00.000Z","startTime":"09:30","startTimeFormatted":"2026-12-03T17:30:00.000Z","endDateTime":"2026-12-04T00:30:00.000Z","endTime":"16:30","sessionTimeId":"1793315080836001J0wE","lastModified":"2026-11-03T19:08:25Z","speakers":[],"venueRoomName":"Level 2 | Hall C | SWAG","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Featured experience"},"services":[],"topics":[],"areaOfInterest":[],"industry":[],"role":[],"features":[],"seatCapacity":0,"repeats":[{"id":"1793256744087001MGNY","shortId":"ACT068-R2","startDateTime":"2026-12-02T17:30:00.000Z","endDateTime":"2026-12-03T02:00:00.000Z","startTime":"09:30","endTime":"18:00","day":"Wednesday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 2 | Hall C | SWAG"},{"id":"1793256708562001NsZG","shortId":"ACT068-R1","startDateTime":"2026-12-01T14:30:00.000Z","endDateTime":"2026-12-02T02:30:00.000Z","startTime":"06:30","endTime":"18:30","day":"Tuesday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 2 | Hall C | SWAG"},{"id":"1793254906409001O5vF","shortId":"ACT068-R0","startDateTime":"2026-11-30T15:30:00.000Z","endDateTime":"2026-12-01T03:30:00.000Z","startTime":"07:30","endTime":"19:30","day":"Monday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 2 | Hall C | SWAG"},{"id":"1793256814383001LCtY","shortId":"ACT068-R","startDateTime":"2026-11-29T18:00:00.000Z","endDateTime":"2026-11-30T02:00:00.000Z","startTime":"10:00","endTime":"18:00","day":"Sunday","venue":{"id":"Venetian","displayName":"Venetian"},"room":"Level 2 | Hall C | SWAG"}]},{"id":"1780442233225001cMSc","hash":"4b8596a1135eefd9a66abe65b3540bd2","shortId":"API313","title":"Reliable data processing with AWS serverless services","abstract":"In this chalk talk, learn how to optimize your serverless data processing workflows at scale. We cover AWS Step Functions Distributed Map for massive parallel batch processing and AWS Lambda durable functions for durable execution workflows. See how to combine these with Lambda event source mappings for stream and queue processing. We discuss cost optimization strategies and when to choose each approach for your data workload.","startDateTime":"2026-11-30T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-11-30T22:30:00.000Z","endDateTime":"2026-11-30T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025489965001C5Ir","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1739901403378001KBwW_17746331reinvent2026","displayName":"Ash Naik","name":"Ash Naik","firstName":"Ash","lastName":"Naik","company":"Amazon/AWS"},{"id":"1725038061897001y11w_17746331reinvent2026","displayName":"Elizabeth Davis","name":"Elizabeth Davis","firstName":"Elizabeth","lastName":"Davis","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Lambda"},{"id":"Services","displayName":"AWS Step Functions"}],"topics":[{"id":"Topic","displayName":"Application Integration"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82},{"id":"1780442262603001cBYV","hash":"a043a1ac33ac1b4cf6d7d3953afa16b0","shortId":"COM342","title":"Renaissance Dad: building an agentic learning app for my 9-year-old with Kiro","abstract":"Werner Vogels told us to become Renaissance Developers — curious polymaths who blend disciplines and own what they build. I took it literally: as a dad, I used Kiro and agentic AI to build a learning app that helps my 9-year-old practice math and school lessons. In this session, I'll share the full architecture: an OCR agent that imports exercises from photos of school notebooks, an adaptive agent that personalizes difficulty, and a coaching agent that guides instead of correcting. We'll deep-dive into multi-agent orchestration patterns, vision model integration, spec-driven development with Kiro, and the guardrails required when your end user is a child. Attendees will leave with reusable agentic patterns applicable far beyond education.","startDateTime":"2026-12-01T02:30:00.000Z","startTime":"18:30","startTimeFormatted":"2026-12-01T02:30:00.000Z","endDateTime":"2026-12-01T02:50:00.000Z","endTime":"18:50","sessionTimeId":"1791215405848001id6f","lastModified":"2026-11-03T22:06:21Z","speakers":[{"id":"1759131697018001SEI7_17746331reinvent2026","displayName":"Sylvain Bruas","name":"Sylvain Bruas","firstName":"Sylvain","lastName":"Bruas","company":"TEAMWORK"}],"venueRoomName":"Level 2 | Hall B | Expo | Builder Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Monday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Tech for Impact"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442245535001cGuk","hash":"6730d57901d08cdbd9cae5c850fd19a8","shortId":"IND423","title":"Replacing eligibility rules engines with Neurosymbolic AI in HHS","abstract":"State HHS agencies spend hundreds of millions maintaining eligibility rules engines built on Drools or proprietary tooling. These systems are brittle, expensive, and impossible to audit. We built a different path: Ingesting policy, using Large Language Models, and building a formal logic representation, followed by using neurosymbolic techniques to produce a verified rule set, enabling deterministic eligibility decisions with full audit trails. No hallucinations. Provable correctness. 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Catch live performances from St. Vincent with headliner Calvin Harris and explore activations throughout the stadium. Join us Thursday, December 3, 2026, for a night of music, food, and fun. Shuttles to Allegiant Stadium start at 6:15 PM.","startDateTime":"2026-12-04T02:30:00.000Z","startTime":"18:30","startTimeFormatted":"2026-12-04T02:30:00.000Z","endDateTime":"2026-12-04T06:30:00.000Z","endTime":"22:30","sessionTimeId":"1793079662188001IGtN","lastModified":"2026-11-06T16:35:48Z","speakers":[],"venue":{"id":"Allegiant_Stadium","displayName":"Allegiant Stadium"},"day":"Thursday","type":{"id":"Type","displayName":"Featured experience"},"services":[],"topics":[],"areaOfInterest":[],"industry":[],"role":[],"features":[],"seatCapacity":0},{"id":"1792018979189001LEQm","hash":"21c476c56dfbe0b7a9f9278bde82359d","shortId":"SUP223","title":"Reshape AI-driven software development for your startup with harness engineering","abstract":"Startups build software with AI coding agents, but new models ship every few weeks, and open-weight models rival frontier ones at a fraction of the cost. 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You'll leave knowing what to set up first, when to let agents run autonomously, and what decisions stay human.","startDateTime":"2026-12-02T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-02T20:00:00.000Z","endDateTime":"2026-12-02T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1793657769670001ofKx","lastModified":"2026-11-02T22:16:15Z","speakers":[],"venueRoomName":"Level 1 | Forum Event Plaza | Startup Plaza Studio","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Featured experience"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[],"seatCapacity":20},{"id":"1780441463149001GOfx","hash":"3b9797cc30134530e34b205c0cf48fde","shortId":"ARC322","title":"Resilience patterns for the disconnected edge with Amazon Leo","abstract":"Every resilient system eventually has to answer one question: what happens when the network you depend on isn’t there? In this session we discuss Amazon Leo, a low earth orbit satellite connectivity service, as a forcing function to explore patterns for architecting across unreliable, high-latency, and intermittently connected links. We’ll walk through the trade-offs behind routing, data-in-transit security, and where to place compute when bandwidth is scarce and connectivity is a variable. We’ll ground the discussion in hybrid resiliency and edge data collection for AI/ML, but the takeaway is portable to any architecture spanning boundaries you don’t fully control.","startDateTime":"2026-12-03T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025536540001CBzQ","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408373862001ushQ_17746331reinvent2026","displayName":"Nick Matthews","name":"Nick Matthews","firstName":"Nick","lastName":"Matthews","company":"Amazon Leo"},{"id":"1725408294433001ufc9_17746331reinvent2026","displayName":"Adam Palmer","name":"Adam Palmer","firstName":"Adam","lastName":"Palmer","company":"Amazon Leo"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Edge Computing"},{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"Resilience"},{"id":"AreaofInterest","displayName":"Amazon Builds on AWS"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":162},{"id":"1780441466637001GhVQ","hash":"dcdfe3244c81af70ff17f57bd761c9eb","shortId":"COP326","title":"Resilience starts where your assumptions end, feat. 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In this hands-on workshop, build resilient VLM training pipelines on Amazon SageMaker HyperPod that survive real-world failures. Configure automatic health monitoring and node replacement, implement fault-tolerant checkpointing strategies, and design distributed training topologies that resume without losing progress. Using open-source frameworks on multi-node GPU clusters, you'll train a VLM end-to-end while simulating and recovering from infrastructure failures. 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In this builders session, deploy AWS DevOps Agent against an ECS workload and experience autonomous incident response. The agent discovers your service topology, receives CloudWatch alarms, investigates autonomously by testing hypotheses against telemetry data, and delivers root cause analysis with specific remediation steps. Practice the full workflow from alarm to resolution without manually searching a single dashboard. Bring your laptop to build alongside an AWS expert.","startDateTime":"2026-12-01T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-01T21:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025504582001CJpW","lastModified":"2026-11-04T01:37:32Z","speakers":[{"id":"1738077350918001beyY_17746331reinvent2026","displayName":"Olawale Olaleye","name":"Olawale Olaleye","firstName":"Olawale","lastName":"Olaleye","company":"AWS EMEA SARL (Irish Branch)"},{"id":"1787937166124001GlFN_17746331reinvent2026","displayName":"Premdass Ravidass","name":"Premdass Ravidass","firstName":"Premdass","lastName":"Ravidass","company":"AWS"},{"id":"1788452187275001gyUi_17746331reinvent2026","displayName":"Yaki Ratz","name":"Yaki Ratz","firstName":"Yaki","lastName":"Ratz","company":"AWS"},{"id":"1737044517551001Tn2b_17746331reinvent2026","displayName":"Bharath Gajendran","name":"Bharath Gajendran","firstName":"Bharath","lastName":"Gajendran","company":"Amazon WebServices India"},{"id":"1789745601574001wGhi_17746331reinvent2026","displayName":"Rajalakshmi Ramasubramanian","name":"Rajalakshmi Ramasubramanian","firstName":"Rajalakshmi","lastName":"Ramasubramanian","company":"Amazon"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Container Service (Amazon ECS)"}],"topics":[{"id":"Topic","displayName":"Developer Tools"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780442279589001ckPS","hash":"7ed2ceab3854970faae18d8f9184b024","shortId":"COP355-R","title":"Resolve Incidents and Validate Releases with AWS DevOps Agent","abstract":"Follow an issue from detection to resolution. 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In this workshop, build a realistic hybrid DNS architecture using the latest Amazon Route 53 capabilities. Participants will learn how to centralize DNS configurations with Route 53 Profiles, replace conditional forwarding rules with native delegation using Resolver Delegation Endpoints, detect and block DNS-based threats with DNS Firewall, and enable secure authenticated resolution for distributed clients with Route 53 Global Resolver. Bring your laptop and resolve hybrid DNS once and for all.","startDateTime":"2026-11-30T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-11-30T23:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790360384255001AUFs","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1744931052635001CPRh_17746331reinvent2026","displayName":"Kunj Thacker","name":"Kunj Thacker","firstName":"Kunj","lastName":"Thacker","company":"Amazon Web Services"},{"id":"1736440929740001FhpH_17746331reinvent2026","displayName":"Mevlit Mustafa","name":"Mevlit Mustafa","firstName":"Mevlit","lastName":"Mustafa","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Route 53"}],"topics":[{"id":"Topic","displayName":"Networking & Content Delivery"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140,"repeats":[{"id":"1780442282930001cclr","shortId":"NET203-R","startDateTime":"2026-12-01T23:30:00.000Z","endDateTime":"2026-12-02T01:30:00.000Z","startTime":"15:30","endTime":"17:30","day":"Tuesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442282930001cclr","hash":"1354bbbf035072c092ca1706e387492f","shortId":"NET203-R","title":"Resolve it all: Build hybrid DNS architectures on AWS","abstract":"Your enterprise runs workloads across multiple Amazon VPCs while maintaining connectivity to on-premises data centers, and DNS is the glue holding it all together. 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Agents need a goldilocks balance of data, identity, and process access: enough to be effective, too much and you end up on Twitter. Cyera solved this internally, reaching 88% weekly AI usage across engineering and non-engineering teams in 17 days. Adoption was not the hard part. The wiring was. How do you govern access and give builders a permit path so they ship instead of wait? Join us for what we learned, and what it means on AWS. 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And for any workload, ask how to stack cost levers like right-sizing, tiered storage, and writeable warm to maximize savings.","startDateTime":"2026-12-03T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790360371867001Avgv","lastModified":"2026-11-03T21:50:39Z","speakers":[{"id":"1725566542262001SYWz_17746331reinvent2026","displayName":"Kevin Fallis","name":"Kevin Fallis","firstName":"Kevin","lastName":"Fallis","company":"AWS"},{"id":"1729032684653001JbKh_17746331reinvent2026","displayName":"Raj Ramasubbu","name":"Raj Ramasubbu","firstName":"Raj","lastName":"Ramasubbu","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon OpenSearch Serverless"},{"id":"Services","displayName":"Amazon OpenSearch Service"},{"id":"Services","displayName":"OpenSearch"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780442232396001cgb6","shortId":"ANT321-R","startDateTime":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","startTime":"10:00","endTime":"11:00","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780441501027001GEMg","hash":"3e85e6b217f4e36bb60ae6cfedc9e244","shortId":"IND318","title":"Right tool, right layer: Combining ML models and autonomous agents","abstract":"Financial institutions deploy dozens of models and manual workflows that struggle to work together at scale. Machine learning excels at fast, explainable decisions while agentic AI orchestrates multi-step workflows with reasoning and adaptability. Real value is knowing when to use each and combining them into one system. In this chalk talk, we present a decision framework and demonstrate an architecture where machine learning models score and detect while agents reason, act, and close the loop while delivering the auditability regulators require. We walk through a Know Your Customer (KYC) example, then open the floor. Bring your use case.","startDateTime":"2026-11-30T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-11-30T18:00:00.000Z","endDateTime":"2026-11-30T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025477587001C6Ot","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1738197800232001r0wX_17746331reinvent2026","displayName":"Kinnera Vajjala","name":"Kinnera Vajjala","firstName":"Kinnera","lastName":"Vajjala","company":"Amazon Web Services"},{"id":"1740550268185001Zs5d_17746331reinvent2026","displayName":"Chetan Sharma","name":"Chetan Sharma","firstName":"Chetan","lastName":"Sharma","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Rekognition"},{"id":"Services","displayName":"Amazon SageMaker"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780441472287001GkDj","hash":"072b0e69f42c195f6a148098959beab0","shortId":"HMC320","title":"Right workload on the right cloud - multicloud workload placement","abstract":"You operate a multicloud organization, and every new workload raises the same challenge: which cloud should this workload run on? Too often the answer comes down to habit, existing vendor relationships, or whoever argues loudest, and workloads end up somewhere that adds complexity, risk, or complicates compliance. In this session you will learn how to approach multicloud workload placement so that the decisions you make are explainable, repeatable and auditable. ","startDateTime":"2026-12-02T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1791224279712001tIju","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[{"id":"Industry","displayName":"Financial Services"},{"id":"Industry","displayName":"Healthcare & Life Sciences"},{"id":"Industry","displayName":"Travel & Hospitality"}],"role":[{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":162},{"id":"1780441489581001Glv9","hash":"711d2fa32cff1fdc0447c1b4f54553a0","shortId":"IND3308-S","title":"Rise of Autonomous Clinical Data Management: AI Agents Accelerating Drug Development (sponsored by Cognizant)","abstract":"Explore how autonomous AI agents are transforming clinical data management from a collection of manual processes into an intelligent, continuously learning system that improves quality, accelerates study execution, and shortens the path from protocol to patient impact.\nClinical trials generate unprecedented volumes of complex data, yet many Clinical Data Management (CDM) processes remain highly manual, resource-intensive, and constrained by siloed workflows. Critical activities such as protocol interpretation, clinical trial data systems build and configuration, edit check generation, data review, data quality management, reconciliation, and database lock often reside on the critical path to study completion. This presentation is brought to you by Cognizant, an AWS Partner.","startDateTime":"2026-12-01T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025502950001CAcu","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1791307598194001NkJq_17746331reinvent2026","displayName":"Nareen Katta","name":"Nareen Katta","firstName":"Nareen","lastName":"Katta","company":"AbbVie"},{"id":"1788477768833001smSy_17746331reinvent2026","displayName":"Gaurav Sharma","name":"Gaurav Sharma","firstName":"Gaurav","lastName":"Sharma","company":"Cognizant"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Blue Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Business Intelligence"},{"id":"AreaofInterest","displayName":"Responsible AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Advisor / Consultant"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780442263552001cEqW","hash":"6fcc0297b297734c9800e03c559f4311","shortId":"HMC408","title":"Rivian's journey to Multi-Availability Zone factory resilience on AWS Outposts","abstract":"Discover why Rivian chose AWS Outposts to support mission-critical manufacturing applications that produce vehicles at its Normal, Illinois, plant. Explore how Rivian architected highly redundant infrastructure across multiple Outposts racks, using fast Amazon EC2 provisioning and scaling to meet production line demands. This session covers Multi-Availability Zone deployment for high availability, Amazon RDS read replicas across racks for database resilience, and AWS Unified Operations for proactive observability across its hybrid environment. Learn how Rivian plans to scale this model into its 9-million-square-foot mega factory in Georgia.","startDateTime":"2026-12-01T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T00:20:00.000Z","endTime":"16:20","sessionTimeId":"1790033110199001qBLf","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1727214630684001GbPs_17746331reinvent2026","displayName":"Peter Dachnowicz","name":"Peter Dachnowicz","firstName":"Peter","lastName":"Dachnowicz","company":"Amazon"},{"id":"1761865509770001HcXc_17746331reinvent2026","displayName":"Adam Shake","name":"Adam Shake","firstName":"Adam","lastName":"Shake","company":"Rivian Automotive, LLC"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Relational Database Service (Amazon RDS)"},{"id":"Services","displayName":"AWS Outposts"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Edge Computing"},{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1792694810498001JfrL","hash":"228dc3f080a4476e51a6b6ebc9661a0d","shortId":"ACT059","title":"Road to re:Invent","abstract":"Watch Road to re:Invent | The official re:Invent Hackathon in-person and on livestream, starting at 12 PM. Get up front as teams compete in an in-person hackathon where the pressure is on. Be sure to catch the Special Guests, VIP Cameos, and the thrilling finale where these talented developers showcase their innovative solutions and one team will be crowned 2026 champion walking away with $100K. Don't miss the excitement as we celebrate the creativity of building and technical excellence of the AWS community.","startDateTime":"2026-11-29T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-11-29T20:00:00.000Z","endDateTime":"2026-11-30T02:00:00.000Z","endTime":"18:00","sessionTimeId":"1793080702737001ihhe","lastModified":"2026-10-30T18:36:36Z","speakers":[],"venueRoomName":"Level 1 | Summit 216 | Showcase Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Sunday","type":{"id":"Type","displayName":"Featured experience"},"services":[],"topics":[],"areaOfInterest":[],"industry":[],"role":[],"features":[],"seatCapacity":500},{"id":"1780441474644001GNoW","hash":"1396719daf9b9531270e3149bc11c7c1","shortId":"IND3345","title":"Robinhood: Scaling in-app agentic trading to every investor on AWS","abstract":"How does Amazon combine people, AI and robots to get new sites ready? Hear how Amazon Robotics runs thousands of autonomous mobile robots on one shared map, and recovers lost robots with agents on Amazon Bedrock. Then follow a pilot that takes last year's computer-vision readiness checks, built with Amazon Nova on Bedrock, from a tablet to a humanoid robot that walks a site and scans each station, so people can focus on the decisions. We go deep on the AWS architecture, from edge navigation to a serverless backend, and share what broke, what we learned and patterns you can reuse.","startDateTime":"2026-12-03T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-03T21:30:00.000Z","endDateTime":"2026-12-03T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1791583862450001OtTf","lastModified":"2026-11-05T17:52:39Z","speakers":[{"id":"1729792616323001MMw1_17746331reinvent2026","displayName":"Viraj Padte","name":"Viraj Padte","firstName":"Viraj","lastName":"Padte","company":"Amazon Web Services"},{"id":"1787636605453001r7jj_17746331reinvent2026","displayName":"Sreeram Ramji","name":"Sreeram Ramji","firstName":"Sreeram","lastName":"Ramji","company":"Robinhood Markets, Inc."},{"id":"1789745604453001wv07_17746331reinvent2026","displayName":"Chirantan Mahipal","name":"Chirantan Mahipal","firstName":"Chirantan","lastName":"Mahipal","company":"Robinhood"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Event-Driven Architecture"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780442234231001cq44","hash":"6ec1313e4c5da3615d65cc7146f63a1b","shortId":"AIM437-R","title":"Route, cache, and batch: a multi-model decision framework on Bedrock","abstract":"Treating every request the same is what makes inference expensive at scale, and most of that cost is repeat work you already paid for. This chalk talk whiteboards how prompt caching on Amazon Bedrock eliminates redundant computation across system prompts, shared context, and multi-turn conversations, then shows where Intelligent Prompt Routing and batch inference extend the savings further. We walk through cache-hit economics, how to structure prompts for maximum reuse, and when routing or batching is the better lever. Bring your traffic patterns and questions, and leave with a caching-first cost strategy tuned to your workloads.","startDateTime":"2026-11-30T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-11-30T18:00:00.000Z","endDateTime":"2026-11-30T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025476205001Cmxx","lastModified":"2026-11-02T19:35:31Z","speakers":[{"id":"1787937191034001G8nj_17746331reinvent2026","displayName":"Aswath Ram A Srinivasan","name":"Aswath Ram A Srinivasan","firstName":"Aswath","lastName":"Ram A Srinivasan","company":"Amazon Web Services"},{"id":"1761338686285001Ur1J_17746331reinvent2026","displayName":"Chris Greenwood","name":"Chris Greenwood","firstName":"Chris","lastName":"Greenwood","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82,"repeats":[{"id":"1790358231088001iN7B","shortId":"AIM437-R1","startDateTime":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Thursday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Academy 414"}]},{"id":"1790358231088001iN7B","hash":"43ccd98fa1de89111a7cc7341fa3501b","shortId":"AIM437-R1","title":"Route, cache, and batch: a multi-model decision framework on Bedrock","abstract":"Treating every request the same is what makes inference expensive at scale, and most of that cost is repeat work you already paid for. 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Bring your traffic patterns and questions, and leave with a caching-first cost strategy tuned to your workloads.","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790360363374001Aqdb","lastModified":"2026-11-05T23:39:21Z","speakers":[{"id":"1787937191034001G8nj_17746331reinvent2026","displayName":"Aswath Ram A Srinivasan","name":"Aswath Ram A Srinivasan","firstName":"Aswath","lastName":"Ram A Srinivasan","company":"Amazon Web Services"},{"id":"1761338686285001Ur1J_17746331reinvent2026","displayName":"Chris Greenwood","name":"Chris Greenwood","firstName":"Chris","lastName":"Greenwood","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Academy 414","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1780442234231001cq44","shortId":"AIM437-R","startDateTime":"2026-11-30T18:00:00.000Z","endDateTime":"2026-11-30T19:00:00.000Z","startTime":"10:00","endTime":"11:00","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1786043769328001qLKG","hash":"bf7dccf13e55a059724fda1a0bb3da95","shortId":"ARC335-R","title":"Route or escalate: Confidence boundaries in multi-domain AI agents","abstract":"Building a GenAI system that answers questions across technology domains is straightforward — until the model doesn't know the answer and doesn't say so. For builders designing multi-agent or RAG-based systems, this session presents the confidence-gated routing architecture: classifying every query into high-confidence retrieval, low-confidence escalation to a human specialist, or cross-domain composition. We cover why flat vector retrieval fails multi-domain queries, the trade-offs of graph-based knowledge ontology, and the evaluations framework measuring confidence calibration. Walk away with a routing pattern you can apply any time your AI system must self-report uncertainty rather than hallucinate with authority.","startDateTime":"2026-12-03T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-03T22:30:00.000Z","endDateTime":"2026-12-03T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025547982001Cedf","lastModified":"2026-11-04T01:39:26Z","speakers":[{"id":"1727130556276001ZoXN_17746331reinvent2026","displayName":"Kandha Sankarapandian","name":"Kandha Sankarapandian","firstName":"Kandha","lastName":"Sankarapandian","company":"AWS"},{"id":"1725030948815001rBGs_17746331reinvent2026","displayName":"Roland Barcia","name":"Roland Barcia","firstName":"Roland","lastName":"Barcia","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Neptune"},{"id":"Services","displayName":"OpenSearch"}],"topics":[{"id":"Topic","displayName":"Architecture"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1790358241461001iJ2U","shortId":"ARC335-R1","startDateTime":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1790358241461001iJ2U","hash":"24aec21ccca3e3651516031cc14fd0cb","shortId":"ARC335-R1","title":"Route or escalate: Confidence boundaries in multi-domain AI agents","abstract":"Building a GenAI system that answers questions across technology domains is straightforward — until the model doesn't know the answer and doesn't say so. For builders designing multi-agent or RAG-based systems, this session presents the confidence-gated routing architecture: classifying every query into high-confidence retrieval, low-confidence escalation to a human specialist, or cross-domain composition. We cover why flat vector retrieval fails multi-domain queries, the trade-offs of graph-based knowledge ontology, and the evaluations framework measuring confidence calibration. Walk away with a routing pattern you can apply any time your AI system must self-report uncertainty rather than hallucinate with authority.","startDateTime":"2026-12-02T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790360367397001A2Lo","lastModified":"2026-11-04T22:12:19Z","speakers":[{"id":"1727130556276001ZoXN_17746331reinvent2026","displayName":"Kandha Sankarapandian","name":"Kandha Sankarapandian","firstName":"Kandha","lastName":"Sankarapandian","company":"AWS"},{"id":"1725030948815001rBGs_17746331reinvent2026","displayName":"Roland Barcia","name":"Roland Barcia","firstName":"Roland","lastName":"Barcia","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Neptune"},{"id":"Services","displayName":"OpenSearch"}],"topics":[{"id":"Topic","displayName":"Architecture"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1786043769328001qLKG","shortId":"ARC335-R","startDateTime":"2026-12-03T22:30:00.000Z","endDateTime":"2026-12-03T23:30:00.000Z","startTime":"14:30","endTime":"15:30","day":"Thursday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442233061001cIJ4","hash":"382151e180c208f77cfe8a546b2ebe11","shortId":"API308","title":"Routing events at scale with Amazon EventBridge","abstract":"Amazon EventBridge simplifies event routing for distributed applications. In this chalk talk, we show how to centralize multi-account event routing without custom infrastructure, using the enhanced custom event bus. We will discuss routing policies, event discovery with schema registry, and access controls that let platform teams govern while app teams move independently. We also explore rate limiting and backpressure so your applications gracefully handle traffic spikes and protect downstream systems without losing events. Along the way, we highlight new multi-account patterns the enhanced custom event bus enables.","startDateTime":"2026-12-03T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-03T00:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025526535001CQLQ","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1733991048819001zMHb_17746331reinvent2026","displayName":"Patrick Meiler","name":"Patrick Meiler","firstName":"Patrick","lastName":"Meiler","company":"AWS"},{"id":"1726579239408001SMoD_17746331reinvent2026","displayName":"David Roberts","name":"David Roberts","firstName":"David","lastName":"Roberts","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Academy 417","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon EventBridge"}],"topics":[{"id":"Topic","displayName":"Application Integration"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Event-Driven Architecture"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1792018978955001Lvui","hash":"a1c68daaf75342e7c934581249f4f4ab","shortId":"SUP313","title":"Run agent evals and tuning on AgentCore without a QA team","abstract":"Startups shipping AI agents often lack a dedicated QA team to catch regressions before they reach customers. This session shows how to run agent evaluations and tuning directly on AgentCore, covering how to set up evals, catch regressions early, and iterate on agent behavior without a dedicated QA function. You'll leave with a practical approach to testing and tuning agents as a small team.","startDateTime":"2026-12-03T19:40:00.000Z","startTime":"11:40","startTimeFormatted":"2026-12-03T19:40:00.000Z","endDateTime":"2026-12-03T20:40:00.000Z","endTime":"12:40","sessionTimeId":"1793394896473001E6Fx","lastModified":"2026-11-02T22:12:08Z","speakers":[],"venueRoomName":"Level 1 | Forum Event Plaza | Startup Plaza Studio","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Featured experience"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[],"seatCapacity":20},{"id":"1780441468555001GNam","hash":"a5e8bed4f1a85368a03142e7e942c759","shortId":"CON327","title":"Run AI on GPUs and accelerators with Amazon ECS Managed Instances","abstract":"Running AI and ML workloads in containers means choosing the right accelerator, keeping it busy, and scaling without paying for idle capacity or keeping users waiting. Amazon ECS Managed Instances manages the infrastructure lifecycle, so you can add GPUs and other accelerators to new or existing ECS clusters. In this session, examine architecture patterns and best practices for batch, event-driven and real-time AI workloads. Learn how to right-size accelerator capacity, run smaller models on fractional GPUs, reduce cold starts, scale to zero when there is no work, and recover from hardware failures. Hear how a customer built and scaled their production AI infrastructure on Amazon ECS Managed Instances, and leave with patterns you can apply to your own clusters.","startDateTime":"2026-12-03T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025539970001C7z4","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1752160012757001BSML_17746331reinvent2026","displayName":"Raphael Beamonte","name":"Raphael Beamonte","firstName":"Raphael","lastName":"Beamonte","company":"Ramp"},{"id":"1725920738328001RgqC_17746331reinvent2026","displayName":"Abhishek Nautiyal","name":"Abhishek Nautiyal","firstName":"Abhishek","lastName":"Nautiyal","company":"Amazon Web Services"},{"id":"1725408349301001uEnt_17746331reinvent2026","displayName":"Olly Pomeroy","name":"Olly Pomeroy","firstName":"Olly","lastName":"Pomeroy","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"Amazon Elastic Container Service (Amazon ECS)"},{"id":"Services","displayName":"AWS Fargate"}],"topics":[{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780441468392001GKjz","hash":"a32453f238259f474fb454c6639d73c5","shortId":"CON325","title":"Running AI agents you can trust on Amazon EKS","abstract":"AI agents are rapidly moving from prototype to production, and running them at scale presents new challenges. Untrusted, AI-generated code executes in your environment. Many agents share the same infrastructure. Workloads spin up, act, and tear down constantly. Join this session to learn how to run agents securely on Amazon EKS with VM-level isolation, wire up the primitives agents need for tools, memory, and orchestration, and manage fleets of short-lived, bursty workloads. You'll also see how the same EKS platform you run your critical workloads on extends into the agentic era and where we're headed next.","startDateTime":"2026-12-02T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025525935001CFHD","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1725408331934001ufgs_17746331reinvent2026","displayName":"Carlos Santana","name":"Carlos Santana","firstName":"Carlos","lastName":"Santana","company":"AWS"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Blue Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"}],"topics":[{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Culture of Security"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Kubernetes"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Administrator"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1790358256833001i2Pa","hash":"5d8252080f2f5250211f4972e12f44c1","shortId":"CON301-R1","title":"Running compute-efficient workloads on Amazon EKS Auto Mode","abstract":"Amazon EKS Auto Mode, powered by open source Karpenter, simplifies infrastructure management while optimizing compute resources. Karpenter provisions Amazon EC2 Instances based on the requirements of your workload. In this hands-on workshop, you’ll gain practical experience in advanced workload scheduling, continually compute optimization with Karpenter consolidation, explore AWS Graviton and AWS spare capacity through Amazon EC2 Spot Instances. Whether you’re new to EKS Auto Mode, or an experienced operator you’ll learn best practices for running efficient workloads on Amazon EKS while simplifying Kubernetes cluster management.","startDateTime":"2026-12-04T16:00:00.000Z","startTime":"08:00","startTimeFormatted":"2026-12-04T16:00:00.000Z","endDateTime":"2026-12-04T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790360394286001A3wO","lastModified":"2026-11-04T22:12:19Z","speakers":[{"id":"1740553157031001ZuLN_17746331reinvent2026","displayName":"Dmitry Nutels","name":"Dmitry Nutels","firstName":"Dmitry","lastName":"Nutels","company":"Amazon Web Services"},{"id":"1724785941708001xogf_17746331reinvent2026","displayName":"Erez Zarum","name":"Erez Zarum","firstName":"Erez","lastName":"Zarum","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Friday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"}],"topics":[{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Resilience"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Kubernetes"}],"industry":[],"role":[{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":84,"repeats":[{"id":"1780442278065001cWYU","shortId":"CON301-R","startDateTime":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T18:30:00.000Z","startTime":"08:30","endTime":"10:30","day":"Thursday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Academy 412"}]},{"id":"1780442278065001cWYU","hash":"7eed976703f37a9a8465a07462b24e86","shortId":"CON301-R","title":"Running compute-efficient workloads on Amazon EKS Auto Mode","abstract":"Amazon EKS Auto Mode, powered by open source Karpenter, simplifies infrastructure management while optimizing compute resources. Karpenter provisions Amazon EC2 Instances based on the requirements of your workload. In this hands-on workshop, you’ll gain practical experience in advanced workload scheduling, continually compute optimization with Karpenter consolidation, explore AWS Graviton and AWS spare capacity through Amazon EC2 Spot Instances. Whether you’re new to EKS Auto Mode, or an experienced operator you’ll learn best practices for running efficient workloads on Amazon EKS while simplifying Kubernetes cluster management.","startDateTime":"2026-12-03T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T18:30:00.000Z","endTime":"10:30","sessionTimeId":"1790025531919001CsOx","lastModified":"2026-11-05T18:57:30Z","speakers":[{"id":"1724785941708001xogf_17746331reinvent2026","displayName":"Erez Zarum","name":"Erez Zarum","firstName":"Erez","lastName":"Zarum","company":"AWS"},{"id":"1740553157031001ZuLN_17746331reinvent2026","displayName":"Dmitry Nutels","name":"Dmitry Nutels","firstName":"Dmitry","lastName":"Nutels","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Academy 412","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"}],"topics":[{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Resilience"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Kubernetes"}],"industry":[],"role":[{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140,"repeats":[{"id":"1790358256833001i2Pa","shortId":"CON301-R1","startDateTime":"2026-12-04T16:00:00.000Z","endDateTime":"2026-12-04T18:00:00.000Z","startTime":"08:00","endTime":"10:00","day":"Friday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442261604001cIIK","hash":"40a35b55675fc0ad57e549bb4ce2569d","shortId":"STG101","title":"Running SAN workloads on Amazon EBS","abstract":"Amazon EBS delivers the performance, durability, and enterprise features that mission-critical SAN workloads depend on. In this session, learn how the latest EBS capabilities map to what you run on premises today, which workloads are the best fit, and how customers are moving databases and enterprise applications off storage arrays and onto EBS. Leave with practical guidance to get started.","startDateTime":"2026-12-04T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-04T17:00:00.000Z","endDateTime":"2026-12-04T17:20:00.000Z","endTime":"09:20","sessionTimeId":"1790963624847001QuTE","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Friday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Resilience"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[],"role":[{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1780441492961001GxOk","hash":"406f5cd3881054f5f8a847bf9ae0efec","shortId":"SVS307","title":"Running untrusted code in sandboxes with AWS Lambda MicroVMs","abstract":"AI coding assistants generate code. Customers upload plugins. Third parties submit extensions. All of it needs to run somewhere and that somewhere can't be your production environment. In this builders' session, use AWS Lambda MicroVMs to build secure sandboxes that execute untrusted code at scale with hardware-level tenant isolation. You'll configure sandbox lifecycle management, implement resource limits and permissions boundaries, and test failure modes when code misbehaves. Walk away with a working isolation architecture you can adapt for your own multi-tenant workloads. Bring your laptop.","startDateTime":"2026-12-03T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025535905001CO67","lastModified":"2026-11-02T19:35:31Z","speakers":[{"id":"1739318134005001VEGE_17746331reinvent2026","displayName":"Thiago Pádua","name":"Thiago Pádua","firstName":"Thiago","lastName":"Pádua","company":"AWS"},{"id":"1725408366784001uSeL_17746331reinvent2026","displayName":"Daniel Abib","name":"Daniel Abib","firstName":"Daniel","lastName":"Abib","company":"AWS"},{"id":"1725408366949001uJyP_17746331reinvent2026","displayName":"Raphael Lima","name":"Raphael Lima","firstName":"Raphael","lastName":"Lima","company":"Amazon Web Services"},{"id":"1758906408665001ITxO_17746331reinvent2026","displayName":"Sathya Shanmugha","name":"Sathya Shanmugha","firstName":"Sathya","lastName":"Shanmugha","company":"Amazon Web Services"},{"id":"1730400698703001Xr7x_17746331reinvent2026","displayName":"Ayush Kulkarni","name":"Ayush Kulkarni","firstName":"Ayush","lastName":"Kulkarni","company":"Amazon"}],"venueRoomName":"Level 1 | Alliance 311","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"AWS Lambda"}],"topics":[{"id":"Topic","displayName":"Application Integration"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Lambda-Based Applications"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780441485733001GnnH","hash":"4406244c5cab0c79a5422c9d96983901","shortId":"AIM277-S","title":"Running Vercel in Your Own AWS Account (sponsored by Vercel)","abstract":"This session explores how Vercel Enterprise customers can run workloads in their own AWS account while continuing to use the Vercel developer experience. You’ll learn about the separation between the Vercel control plane and customer runtime, and why this model can help organizations meet data privacy, security, and compliance requirements. You’ll see how the setup works through a live walkthrough and demo, and how this architecture can support broader access to tools like v0, Amazon Q, and other coding agents. This presentation is brought to you by Vercel, an AWS Partner.","startDateTime":"2026-11-30T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-11-30T20:00:00.000Z","endDateTime":"2026-11-30T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790034531872001pDjq","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1788913684406001PE7c_17746331reinvent2026","displayName":"Brandon Tuttle","name":"Brandon Tuttle","firstName":"Brandon","lastName":"Tuttle","company":"Vercel"},{"id":"1790052955436001xxil_17746331reinvent2026","displayName":"Glenn Phillips","name":"Glenn Phillips","firstName":"Glenn","lastName":"Phillips","company":"Vercel"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Blue Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780441467889001Gs6e","hash":"1e4e8b0ac9100dc93b82123a2518488e","shortId":"CMP305","title":"Run your largest SAP HANA on AWS: EC2 High Memory deep dive","abstract":"Running SAP HANA at scale requires infrastructure that matches the size and criticality of your enterprise resource planning (ERP) workloads. Amazon EC2 High Memory instances deliver up to 32 TB of memory in a single instance today, backed by the AWS Nitro architecture for consistent performance and hardware-level isolation. In this session, we dive deep into why customers choose High Memory instances for SAP HANA and the benefits they have gained from modernizing their ERP on AWS. Hear how enterprises are scaling production ERP to 32 TB to gain performance and improve operational efficiency, and walk away with architectural guidance and real-world deployment patterns for running your largest SAP HANA workloads in a scale-up configuration.","startDateTime":"2026-12-02T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025523024001CNbm","lastModified":"2026-11-05T20:36:28Z","speakers":[{"id":"1726854522636001ob6d_17746331reinvent2026","displayName":"Vikas Ratna","name":"Vikas Ratna","firstName":"Vikas","lastName":"Ratna","company":"Amazon Inc"},{"id":"1764686350811001CEpi_17746331reinvent2026","displayName":"Linda Wang","name":"Linda Wang","firstName":"Linda","lastName":"Wang","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Blue Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"}],"topics":[{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"SAP"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[],"role":[{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1786043770210001q1hK","hash":"ff291e3071daca26a73827e5c7d8b06d","shortId":"HMC410","title":"SaaS Agents Anywhere","abstract":"Customers make deliberate choices about where their workloads run. For SaaS vendors delivering agentic products, that means the runtime has to meet the workload where it is, not the other way around. This chalk talk teaches the everywhere agent pattern for SaaS: keep the control plane on AWS, run the agent runtime and data-plane execution wherever the customer's data lives. Learn three decisions: which destinations to support and when (multi-cloud, on-prem, or both), how to run agent runtimes outside AWS without rewriting your control plane (packaging, model backend selection, dependency portability), and how to manage identity, observability, and lifecycle across environments you don't own. Leave with the decision framework for shipping SaaS agents anywhere the customer's data lives.","startDateTime":"2026-12-03T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025544469001Cq8b","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408316630001uimy_17746331reinvent2026","displayName":"Anthony McClure","name":"Anthony McClure","firstName":"Anthony","lastName":"McClure","company":"AWS"},{"id":"1726582501038001nuAM_17746331reinvent2026","displayName":"Erik Anderson","name":"Erik Anderson","firstName":"Erik","lastName":"Anderson","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1786043769929001qCBc","hash":"8d7a726a31c4b3f79683884fdda75108","shortId":"ARC331","title":"SaaS Agents Anywhere: building distributed agentic deployments","abstract":"SaaS vendors deploy agents across a spectrum: fully provider-hosted, fully tenant-controlled, and hybrid models in between. Once customers have data residency or cost-visibility requirements, deployment topology determines the operational pattern. In this workshop, build a distributed agentic deployment on AWS spanning your accounts and a tenant's, then exercise the three concerns that surface everywhere on the spectrum: lifecycle management of agents you can't directly see, observability across account boundaries, and reliability when the agent runs somewhere you don't operate. Leave with a working reference deployment you can adapt to your own tenancy model.","startDateTime":"2026-11-30T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-11-30T23:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025495505001CcC0","lastModified":"2026-11-03T22:06:21Z","speakers":[{"id":"1739346038263001prfa_17746331reinvent2026","displayName":"Markus Doepke","name":"Markus Doepke","firstName":"Markus","lastName":"Doepke","company":"Amazon Web Services"},{"id":"1736365122605001Bf2i_17746331reinvent2026","displayName":"Hasan Tariq","name":"Hasan Tariq","firstName":"Hasan","lastName":"Tariq","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Data Protection"},{"id":"AreaofInterest","displayName":"SaaS"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":84},{"id":"1790358215816001ihz0","hash":"c1d46e7b4f6b0d040394775264cf90b6","shortId":"DAT304-R1","title":"Safer, simpler, faster upgrades with managed blue/green deployments","abstract":"Blue/green deployments for Amazon Aurora and Amazon RDS simplify the process of upgrading and performing maintenance on your databases. 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This session covers building graduated isolation for autonomous agents on EKS using the agent-sandbox controller. You'll learn why runtime tiers (runc → gVisor → Firecracker) map to different threat models, how SandboxClaim resources manage ephemeral agent lifecycle, and Cilium FQDN egress filtering that prevents exfiltration without blocking legitimate tool use. We'll whiteboard Karpenter NodePool design for gVisor-capable nodes, discuss cost tradeoffs between isolation levels, and share what breaks when you over-isolate. 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This talk explains what we learned by reinventing program analysis for new end users: builders and agents. We had to develop benchmarks and add determinism with program slicing to better control costs and deliver the optimal price per true vulnerability detected. 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CrowdStrike shares how they built scalable, real time LLM inference on Amazon SageMaker to power threat detection at massive scale, where sub second latency is a hard requirement. 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Learn how to automate multi-agent orchestration to reduce supervision while maintaining your quality standards. This session explores patterns for dividing work among focused agents and building reusable processes that include verification. 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Without a shared control plane, every team rolls its own auth, cost tracking, and rules. In this builders session, build one control plane using Amazon Bedrock and LiteLLM that manages all of them. Route every agent's model calls through Bedrock and enforce your security policies in one place. Apply consistent identity, observability, and cost controls across every agent, then put it to work on a real coding task.","startDateTime":"2026-12-03T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025536694001CnbP","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1731770589299001S8D8_17746331reinvent2026","displayName":"Sriharsha M S","name":"Sriharsha M S","firstName":"Sriharsha","lastName":"M S","company":"Amazon Web Services Inc."},{"id":"1770347998382001ppMj_17746331reinvent2026","displayName":"Pedro Paez","name":"Pedro Paez","firstName":"Pedro","lastName":"Paez","company":"AWS"},{"id":"1737626880768001Pzko_17746331reinvent2026","displayName":"Jose Navarro","name":"Jose Navarro","firstName":"Jose","lastName":"Navarro","company":"Amazon Web Services (AWS)"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780441490286001Grtw","hash":"5cf90b8278706232bc471dff049ba314","shortId":"STG301","title":"Scale data for RAG and AI agents cost-effectively with Amazon S3 Vectors","abstract":"Discover how S3 Vectors transforms retrieval workloads for AI agents and RAG pipelines with native vector storage and query capabilities. 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Learn architecture best practices, performance optimization techniques, and diverse vector use cases, from semantic search to large-scale RAG implementations.","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025473510001CVJx","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1736356936337001iLwa_17746331reinvent2026","displayName":"Venkata Sistla","name":"Venkata Sistla","firstName":"Venkata","lastName":"Sistla","company":"Amazon Web Services"},{"id":"1726617179313001iPk8_17746331reinvent2026","displayName":"Dhanika Sujan","name":"Dhanika Sujan","firstName":"Dhanika","lastName":"Sujan","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780442239228001cqYn","hash":"cba7a2764fd906a7d3598dbb3cfa0364","shortId":"CON413","title":"Scale financial Risk and Quant Research with AWS Batch and Amazon ECS","abstract":"Financial institutions run millions of simulations overnight to price options, stress-test portfolios, and satisfy regulators. 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You will leave able to run performant, cost-effective frontier model inference in production on AWS Trainium yourself.","startDateTime":"2026-11-30T16:00:00.000Z","startTime":"08:00","startTimeFormatted":"2026-11-30T16:00:00.000Z","endDateTime":"2026-11-30T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025470889001ClzC","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726012430907001gLyF_17746331reinvent2026","displayName":"Pinak Panigrahi","name":"Pinak Panigrahi","firstName":"Pinak","lastName":"Panigrahi","company":"Annapurna ML, AWS"},{"id":"1737656068358001NBhx_17746331reinvent2026","displayName":"Achintya Pinninti","name":"Achintya Pinninti","firstName":"Achintya","lastName":"Pinninti","company":"Amazon Web Services"},{"id":"1770341990227001FhNU_17746331reinvent2026","displayName":"Andre Gomes","name":"Andre Gomes","firstName":"Andre","lastName":"Gomes","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"AWS Trainium"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140,"repeats":[{"id":"1790358235656001i0xE","shortId":"AIM326-R1","startDateTime":"2026-12-02T16:00:00.000Z","endDateTime":"2026-12-02T18:00:00.000Z","startTime":"08:00","endTime":"10:00","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358235656001i0xE","hash":"2c5c3c3bd46f01afe9eebe516828e524","shortId":"AIM326-R1","title":"Scaling Frontier AI model inference on AWS Trainium","abstract":"Every team moving AI to production hits the same wall: scaling frontier model inference against growing token demand, tighter latency budgets, and spiraling compute costs. 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This session shows how to design that boundary using VM-level isolation on Amazon ECS. You will leave knowing how to isolate tenants and untrusted agent workloads from one another, apply least-privilege execution toward compliance obligations, and run it all efficiently at scale. 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In this hands-on lab, you deploy an IT help desk agent to Amazon Bedrock AgentCore Runtime and configure AgentCore Identity to enforce inbound authentication. 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We wire up AWS Transform agents for tech debt analysis via MCP integrations, connect AWS Continuum for deep code-level vulnerability scanning, and orchestrate everything through Kiro. The result: an agent that synthesizes a security-hardened modernization plan and autonomously executes it. 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This chalk talk explores proven deployment patterns that balance tenant isolation, governance, and operational efficiency when rolling out Amazon Quick at enterprise scale. 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The team transformed the local Claude Code experience into a secure, per-user cloud sandbox on Amazon Bedrock AgentCore, preserving the familiar IDE and terminal workflow while moving execution to the cloud. See how OIDC authentication through the corporate IdP, per-call token minting through AgentCore Identity, and Cedar-based authorization for tools exposed through AgentCore Gateway enforce per-user, per-action access. Finally, discover how Act Security sustains least privilege over time and enforces narrower policies - whether you are deploying AgentCore for the first time or hardening an existing environment. 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Leave with decisions you can apply to your own agentic platform.","startDateTime":"2026-11-30T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-11-30T18:30:00.000Z","endDateTime":"2026-11-30T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025478924001CBut","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408322128001uF3k_17746331reinvent2026","displayName":"Manjit Chakraborty","name":"Manjit Chakraborty","firstName":"Manjit","lastName":"Chakraborty","company":"Amazon Web Services"},{"id":"1725408322296001uD0b_17746331reinvent2026","displayName":"Neeraj Roy","name":"Neeraj Roy","firstName":"Neeraj","lastName":"Roy","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"AWS CloudTrail"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1790358225228001iN1m","shortId":"IND358-R1","startDateTime":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T21:00:00.000Z","startTime":"12:00","endTime":"13:00","day":"Tuesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358225228001iN1m","hash":"1689eef329b31ed55604641a92b05409","shortId":"IND358-R1","title":"Securing AI agents: Governance patterns for regulated workloads","abstract":"Financial institutions building agentic AI platforms face a fundamental problem: security and governance controls were designed for humans and applications, not autonomous agents. 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Leave with decisions you can apply to your own agentic platform.","startDateTime":"2026-12-01T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790360396789001AuOd","lastModified":"2026-11-04T22:12:22Z","speakers":[{"id":"1725408322296001uD0b_17746331reinvent2026","displayName":"Neeraj Roy","name":"Neeraj Roy","firstName":"Neeraj","lastName":"Roy","company":"AWS"},{"id":"1725408322128001uF3k_17746331reinvent2026","displayName":"Manjit Chakraborty","name":"Manjit Chakraborty","firstName":"Manjit","lastName":"Chakraborty","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"AWS CloudTrail"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1780442243935001cPQo","shortId":"IND358-R","startDateTime":"2026-11-30T18:30:00.000Z","endDateTime":"2026-11-30T19:30:00.000Z","startTime":"10:30","endTime":"11:30","day":"Monday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1784231863710001EBKx","hash":"c75d234039c425d4d6d68ed8bd2d15a9","shortId":"TNC335-R1","title":"Securing AI Agents on AgentCore","abstract":"A customer runs a support agent on Amazon Bedrock AgentCore that reaches destinations nobody reviewed and takes requests from any caller. 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Leave with a layered model you can apply on Monday.","startDateTime":"2026-12-02T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-02T20:00:00.000Z","endDateTime":"2026-12-02T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025520288001Cn86","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1738635959219001VyzY_17746331reinvent2026","displayName":"Mac Stevens","name":"Mac Stevens","firstName":"Mac","lastName":"Stevens","company":"AWS"},{"id":"1744931038573001CQih_17746331reinvent2026","displayName":"Alex Waddell","name":"Alex Waddell","firstName":"Alex","lastName":"Waddell","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS CodePipeline"},{"id":"Services","displayName":"Kiro"},{"id":"Services","displayName":"AWS Security Agent"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1790358246558001iY0C","shortId":"SEC321-R1","startDateTime":"2026-12-02T00:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","startTime":"16:00","endTime":"17:00","day":"Tuesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358246558001iY0C","hash":"502a03be13d3e8a28fcece9209372968","shortId":"SEC321-R1","title":"Securing AI coding agents: defense in depth across the development lifecycle","abstract":"AI coding agents optimise for task completion, not security, generating code and PRs faster than humans can review. 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You will learn the skills to automate risk management processes, helping your Kubernetes workloads remain resilient against evolving threats.","startDateTime":"2026-12-03T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-03T00:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790360373055001A7R2","lastModified":"2026-11-04T22:12:19Z","speakers":[{"id":"1787937165985001GaKp_17746331reinvent2026","displayName":"Jens Walther","name":"Jens Walther","firstName":"Jens","lastName":"Walther","company":"Amazon Web Services"},{"id":"1756405456375001otQa_17746331reinvent2026","displayName":"Edgar Costa Filho","name":"Edgar Costa Filho","firstName":"Edgar","lastName":"Costa Filho","company":"Amazon Web Services"},{"id":"1767721355848001TQig_17746331reinvent2026","displayName":"Shamanth Devagari","name":"Shamanth Devagari","firstName":"Shamanth","lastName":"Devagari","company":"Amazon Web Services"},{"id":"1725036586899001AwSN_17746331reinvent2026","displayName":"Megan Velez Rivera","name":"Megan Velez Rivera","firstName":"Megan","lastName":"Velez Rivera","company":"Amazon Web Services"},{"id":"1738011408195001FMsH_17746331reinvent2026","displayName":"Hans Nesbitt","name":"Hans Nesbitt","firstName":"Hans","lastName":"Nesbitt","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"}],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Identity & Access Management"},{"id":"AreaofInterest","displayName":"Kubernetes"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1780442226072001cNGT","shortId":"CON311-R","startDateTime":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Tuesday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Forum 120 | Content Hub | Builders' Session 1"}]},{"id":"1780441499144001Gq1F","hash":"8ab2e914bc06de3e12264c1f1c1418b1","shortId":"CON306-R","title":"Securing and optimizing your software supply chain with Amazon ECR","abstract":"Your software supply chain gets harder to manage as you grow. In this interactive chalk talk, we whiteboard the decisions teams face at each stage of that lifecycle: securing the supply chain against real threats, launching large images fast, operating at scale across accounts and Regions, and managing the lifecycle to cut cost and attack surface. We go deep on security with Amazon ECR, Amazon Inspector, and Amazon GuardDuty, including hardened base images, scanning, SBOMs, signing, admission control, and runtime threat detection on Amazon EKS and Amazon ECS. You leave with patterns you can apply across your container estate. Bring your questions and your own architecture.","startDateTime":"2026-11-30T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-11-30T20:00:00.000Z","endDateTime":"2026-11-30T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025484559001CjoQ","lastModified":"2026-11-02T21:18:07Z","speakers":[{"id":"1725980880698001bdYZ_17746331reinvent2026","displayName":"Purvi Goyal","name":"Purvi Goyal","firstName":"Purvi","lastName":"Goyal","company":"Amazon Web Services"},{"id":"1760640817566001NfPq_17746331reinvent2026","displayName":"Mridul Chopra","name":"Mridul Chopra","firstName":"Mridul","lastName":"Chopra","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Alliance 314","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Container Registry (Amazon ECR)"},{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"Amazon GuardDuty"}],"topics":[{"id":"Topic","displayName":"Security & Identity"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"},{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Kubernetes"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1790358230023001im5a","shortId":"CON306-R1","startDateTime":"2026-12-03T00:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","startTime":"16:30","endTime":"17:30","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1790358230023001im5a","hash":"e0b32dfe87e6f0b08941716401a1c47e","shortId":"CON306-R1","title":"Securing and optimizing your software supply chain with Amazon ECR","abstract":"Your software supply chain gets harder to manage as you grow. In this interactive chalk talk, we whiteboard the decisions teams face at each stage of that lifecycle: securing the supply chain against real threats, launching large images fast, operating at scale across accounts and Regions, and managing the lifecycle to cut cost and attack surface. We go deep on security with Amazon ECR, Amazon Inspector, and Amazon GuardDuty, including hardened base images, scanning, SBOMs, signing, admission control, and runtime threat detection on Amazon EKS and Amazon ECS. You leave with patterns you can apply across your container estate. Bring your questions and your own architecture.","startDateTime":"2026-12-03T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-03T00:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790360367576001AYRS","lastModified":"2026-11-04T19:31:39Z","speakers":[{"id":"1760640817566001NfPq_17746331reinvent2026","displayName":"Mridul Chopra","name":"Mridul Chopra","firstName":"Mridul","lastName":"Chopra","company":"Amazon Web Services"},{"id":"1725980880698001bdYZ_17746331reinvent2026","displayName":"Purvi Goyal","name":"Purvi Goyal","firstName":"Purvi","lastName":"Goyal","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Container Registry (Amazon ECR)"},{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"Amazon GuardDuty"}],"topics":[{"id":"Topic","displayName":"Security & Identity"},{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"},{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Kubernetes"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780441499144001Gq1F","shortId":"CON306-R","startDateTime":"2026-11-30T20:00:00.000Z","endDateTime":"2026-11-30T21:00:00.000Z","startTime":"12:00","endTime":"13:00","day":"Monday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Alliance 314"}]},{"id":"1780441472682001GMAh","hash":"dff061aabda5fae7ebf24a365caa519d","shortId":"SEC397","title":"Securing APIs with AWS","abstract":"Teams want visibility into their API landscape and find that traditional controls may miss attacks targeting API-specific vulnerabilities. In this session, learn how AWS is thinking about the modern API security challenge, from discovering unknown and unmanaged endpoints to detecting the kinds of authorization, authentication, and abuse issues that appear normal request by request. We'll explore common patterns behind recent industry incidents, why API visibility and runtime protection matter, and how a native, integrated AWS approach can help you reduce risk and respond faster.","startDateTime":"2026-12-01T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1791575950179001tufA","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Edge Computing"},{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780441480984001G9vC","hash":"09cff4b149b069ade8747246d4d6103d","shortId":"SEC384","title":"Securing applications at machine speed in the frontier model era","abstract":"Frontier AI models discover code vulnerabilities in minutes. Security teams still take days or weeks to validate, prioritize, and fix them. AWS Continuum closes that gap with one continuous workflow: discover risks in your code, prioritize by real exploitability, validate in a sandbox with reproduction steps, and remediate at machine speed within guardrails you define. In this session, we walk through how Continuum operates end-to-end: building a security context graph from your infrastructure, identity, and code to determine what is reachable, confirming exploitability through sandboxed proof-of-concept, and generating validated fixes. You see graduated trust in action, starting with human approval and promoting to autonomous remediation as confidence builds. You leave understanding how to move from manual triage to continuous discovery, validation, and remediation.","startDateTime":"2026-12-03T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-03T22:30:00.000Z","endDateTime":"2026-12-03T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025547301001C1f2","lastModified":"2026-11-06T01:28:59Z","speakers":[{"id":"1745435828783001opoS_17746331reinvent2026","displayName":"Evan McHenry","name":"Evan McHenry","firstName":"Evan","lastName":"McHenry","company":"Robinhood Inc."}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Continuum"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780442249454001coI1","hash":"7232e55e5308c542924a0dd6437990bf","shortId":"SEC327","title":"Securing Multi-Agent Systems","abstract":"Multi-agent systems create  a larger attack surface than single-agent deployments: prompt injections that propagate across agent boundaries, identity spoofing, tool-chain escalation, and data exfiltration through natural-language covert channels. In this chalk talk, we threat-model this risk using the OWASP Agentic AI Top 10, then whiteboard defense-in-depth patterns for validating inter-agent messages, enforcing least-privilege orchestration, and detecting anomalous behavior before it cascades. Leave with a set of recommendations and architectures that demonstrate how to layer security controls in a multi-agent system.","startDateTime":"2026-12-03T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-03T21:30:00.000Z","endDateTime":"2026-12-03T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025545887001CEcH","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408418628001ua4g_17746331reinvent2026","displayName":"Kunle Adeleke","name":"Kunle Adeleke","firstName":"Kunle","lastName":"Adeleke","company":"AWS"},{"id":"1740408919315001LBRR_17746331reinvent2026","displayName":"Daniel Wells","name":"Daniel Wells","firstName":"Daniel","lastName":"Wells","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon EventBridge"},{"id":"Services","displayName":"AWS Step Functions"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":96},{"id":"1780442250695001cR71","hash":"1469d9d986d3ce0f0215a84cf1325f68","shortId":"SEC346","title":"Securing OpenClaw deployments on AWS","abstract":"In this session, we introduce the OpenClaw architecture, compare the major variants and their security posture differences, and then map the threat landscape for AWS-hosted deployments. Drawing on years of experience helping customers deploy, we cover the infrastructure and runtime threat landscape. You will leave with a reference architecture that applies defense-in-depth principles to such OpenClaw deployments on AWS, minimizing risk without sacrificing capability.","startDateTime":"2026-12-03T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-03T17:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025534274001CewR","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1759424264008001pdAL_17746331reinvent2026","displayName":"Maxim Raya","name":"Maxim Raya","firstName":"Maxim","lastName":"Raya","company":"AWS"},{"id":"1725408477448001utSd_17746331reinvent2026","displayName":"Itay Meller","name":"Itay Meller","firstName":"Itay","lastName":"Meller","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Amazon Builds on AWS"}],"industry":[],"role":[{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70},{"id":"1780442222364001cL5a","hash":"261443743266622e55ec0837e480686f","shortId":"SEC364","title":"Securing software and AI supply chains with Network Firewall at Coupang","abstract":"Coupang, South Korea's largest e-commerce platform, runs millions of daily transactions on AWS. At that volume, each open source library, container base image, and AI model weight pulled from the internet is a supply chain risk. This session goes deep on the AWS Network Firewall architecture and its newer capabilities, including centralized management and container-aware egress inspection. Coupang shows how it built egress control that scales automatically across a container-first fleet, automates allowlist management, and limits exposure to rogue AI dependencies and dynamic payloads without slowing developers down.","startDateTime":"2026-12-01T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-01T21:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025504053001C6Bm","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1728965490955001SjKJ_17746331reinvent2026","displayName":"Amish Shah","name":"Amish Shah","firstName":"Amish","lastName":"Shah","company":"Amazon Web Services"},{"id":"1788970133905001wDuJ_17746331reinvent2026","displayName":"Sang Won Kim","name":"Sang Won Kim","firstName":"Sang Won","lastName":"Kim","company":"Coupang"},{"id":"1737685791642001Ax1Q_17746331reinvent2026","displayName":"Andrew (Kyungshik) Shin","name":"Andrew (Kyungshik) Shin","firstName":"Andrew (Kyungshik)","lastName":"Shin","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"AWS Network Firewall"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[],"role":[{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780442235868001cdfL","hash":"bf5c01ca9e823564a8feffb96bcbff5c","shortId":"AIM453","title":"Securing the agent loop with Amazon Bedrock Guardrails","abstract":"You screen the prompt on the way in and the answer on the way out. In between, tool results carry external content straight into the model's context and tool arguments carry the model's decisions out to your systems, without inspection. The middle of the loop is where indirect prompt injection lands. Where you place a guardrail inside the loop is a design decision. In this chalk talk, we place Bedrock Guardrails checks inside the agent loop. We examine ApplyGuardrail and InvokeGuardrailChecks, work through where each one belongs, and look at what risk remains when the checks are in place.","startDateTime":"2026-12-03T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-03T17:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025532729001C2Ms","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1789402259267001ujJR_17746331reinvent2026","displayName":"Shivani Singh","name":"Shivani Singh","firstName":"Shivani","lastName":"Singh","company":"Amazon"},{"id":"1738006473856001LxhI_17746331reinvent2026","displayName":"Felipe Lopez","name":"Felipe Lopez","firstName":"Felipe","lastName":"Lopez","company":"Amazon Web Services"},{"id":"1725905638154001N1Db_17746331reinvent2026","displayName":"Sreedhar Gade","name":"Sreedhar Gade","firstName":"Sreedhar","lastName":"Gade","company":"Freshworks"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":98},{"id":"1780442390027001NcyF","hash":"f21d28735be41cd04df5ef1d5e84574c","shortId":"SEC222-S","title":"Securing the AI-Native Cloud (sponsored by Upwind)","abstract":"In this session, we will demonstrate how AI is redefining cloud security by moving beyond static posture management to real-time, context-aware protection. The session will showcase how organizations can gain continuous visibility across their environments and respond to threats as they emerge. Attendees will see how AI-driven analysis of runtime behavior enables faster detection of anomalies, prioritization of real risks, and automated response across dynamic, multi-cloud infrastructures. The session will highlight how security teams can reduce noise, strengthen security processes, and proactively respond to threats before they escalate. This presentation is brought to you by Upwind, an AWS Partner.","startDateTime":"2026-12-03T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025536202001C8NN","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"DevSecOps"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":94},{"id":"1780441485447001GHnb","hash":"4def9e1371f7eaaf390713f5eed4511a","shortId":"AIM252-S","title":"Securing the Bedrock: A Strong API Foundation for AI Innovation (sponsored by Kong)","abstract":"AI moves fastest when it moves along a governed path. Lanes, on-ramps, and speed limits are what let a highway run at full speed. Your agents are no different. Their path is the data path: every API call, model request, and event stream they touch. Kong shows how an AI control tower across API, AI, and event traffic governs all of it, and how it fits with your AWS infrastructure. FanDuel's Bryce Macher, VP of AI and Jonathan Kindberg, Sr Dir AI, then share how they built theirs in a regulated industry, from the AI platform and ops layer to use cases like chat enablement and automated casino games testing.\n","startDateTime":"2026-12-01T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-01T00:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025499101001CDyu","lastModified":"2026-11-02T16:28:39Z","speakers":[{"id":"1762980929063001MeKg_17746331reinvent2026","displayName":"Amit Shah","name":"Amit Shah","firstName":"Amit","lastName":"Shah","company":"Kong"},{"id":"1787636769044001rjiA_17746331reinvent2026","displayName":"Bryce Macher","name":"Bryce Macher","firstName":"Bryce","lastName":"Macher","company":"FanDuel Inc"},{"id":"1790191492775001i3D4_17746331reinvent2026","displayName":"Jonathan Kindberg","name":"Jonathan Kindberg","firstName":"Jonathan","lastName":"Kindberg","company":"FanDuel"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":162},{"id":"1780442389959001NxHG","hash":"64c54c375aa1b486027d06e7a4a34293","shortId":"AIM292-S","title":"Securing the Enterprise in the Age of AI Agents: From Zero Trust to Agentic Security (sponsored by Zscaler)","abstract":"AI isn’t just another workload—it’s introducing agents that act, connect, and make decisions at machine speed. This session reframes Zero Trust for an agent-driven world: how to govern agent-to-agent communication, constrain access to sensitive data, and reduce risk without slowing the business. This presentation is brought to you by Zscaler, an AWS Partner.","startDateTime":"2026-12-03T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025539811001COuJ","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1727132321371001XQ7X_17746331reinvent2026","displayName":"Dhawal Sharma","name":"Dhawal Sharma","firstName":"Dhawal","lastName":"Sharma","company":"Zscaler, Inc."}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Zero Trust"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1788294137064001mZqq","hash":"fc61aaf40badca589304324753ddf28e","shortId":"SEC391","title":"Securing your AI-accelerated software supply chain with AWS Well-Architected","abstract":"Modern software depends on open-source packages from npm, PyPI, and Maven. AI assistants pull them into your codebase faster than ever, sometimes suggesting packages that don’t exist or shouldn’t be trusted. Attackers exploit this through “slopsquatting.” Supply chain incidents show registries targeted via credential compromise, typosquatting, and token farming at scale. This workshop builds a layered defense aligned to the AWS Well-Architected Security Pillar. You replace long-lived credentials with OIDC, sign artifacts with AWS Signer, and govern dependencies with CodeArtifact package groups. You scan AI-generated and human-written code with Amazon Inspector, then detect threats with GuardDuty and Security Hub. You leave with a defense-in-depth blueprint that scales with AI-accelerated development across your environment.","startDateTime":"2026-11-30T16:00:00.000Z","startTime":"08:00","startTimeFormatted":"2026-11-30T16:00:00.000Z","endDateTime":"2026-11-30T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1791214549539001uypB","lastModified":"2026-11-03T00:33:28Z","speakers":[{"id":"1739342552537001kWx9_17746331reinvent2026","displayName":"Anshu Bathla","name":"Anshu Bathla","firstName":"Anshu","lastName":"Bathla","company":"AWS"},{"id":"1768203450844001gOr6_17746331reinvent2026","displayName":"Rohit Verma","name":"Rohit Verma","firstName":"Rohit","lastName":"Verma","company":"AMAZON AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140},{"id":"1780441498020001G79W","hash":"04b79e44b4693ddf3f4ab2cd06ec101a","shortId":"CMP329-R","title":"Security compliance and hardening with EC2 Image Builder","abstract":"Discover how to leverage EC2 Image Builder to create secure, compliant, and hardened AMIs. Learn to automate security baseline implementation, including CIS benchmarks. We'll demonstrate building compliance checks into Image Builder pipelines, integrating vulnerability scanning, and implementing automated testing for regulatory standards.","startDateTime":"2026-12-02T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-02T00:30:00.000Z","endDateTime":"2026-12-02T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025510859001CQSl","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1733318406085001DPSK_17746331reinvent2026","displayName":"Anuj Butail","name":"Anuj Butail","firstName":"Anuj","lastName":"Butail","company":"amazon web services"},{"id":"1726854514145001oU3H_17746331reinvent2026","displayName":"Manny Sidhu","name":"Manny Sidhu","firstName":"Manny","lastName":"Sidhu","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Inspector"},{"id":"Services","displayName":"EC2 Image Builder"}],"topics":[{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"},{"id":"AreaofInterest","displayName":"DevSecOps"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1790358230114001iil0","shortId":"CMP329-R1","startDateTime":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","startTime":"13:00","endTime":"14:00","day":"Thursday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358230114001iil0","hash":"a5d6bab95fdd3c5fc04fe70e0397b9da","shortId":"CMP329-R1","title":"Security compliance and hardening with EC2 Image Builder","abstract":"Discover how to leverage EC2 Image Builder to create secure, compliant, and hardened AMIs. 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All you need: a laptop, curiosity, and a competitive spirit.","startDateTime":"2026-11-30T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-11-30T17:00:00.000Z","endDateTime":"2026-11-30T20:00:00.000Z","endTime":"12:00","sessionTimeId":"1790014921282001ocbP","lastModified":"2026-11-03T22:06:21Z","speakers":[{"id":"1746576198104001rEJc_17746331reinvent2026","displayName":"Nir Pilo","name":"Nir Pilo","firstName":"Nir","lastName":"Pilo","company":"AWS"},{"id":"1726081823649001vWoP_17746331reinvent2026","displayName":"Felipe Baron","name":"Felipe Baron","firstName":"Felipe","lastName":"Baron","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Gamified learning"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Security Agent"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Threat Intelligence"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Hands-on"}],"seatCapacity":176},{"id":"1780442258703001cqxr","hash":"677ef002afd514853e097121f540c226","shortId":"GHJ313-S","title":"Security Jam - sponsored by Semgrep","abstract":"Come with your team of 2 or join one on the spot. Compete head-to-head, race the leaderboard, and win prizes. Work through simulated incident response scenarios - including a sponsored challenge from Semgrep to find and fix code vulnerabilities early using Semgrep's static analysis and code security scanning. Can you find the breach and prevent the next one? AWS experts and guided exercises support all levels. All you need: a laptop, curiosity, and a competitive spirit.","startDateTime":"2026-12-02T22:00:00.000Z","startTime":"14:00","startTimeFormatted":"2026-12-02T22:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790020771163001OA4w","lastModified":"2026-11-05T14:37:33Z","speakers":[{"id":"1746576198104001rEJc_17746331reinvent2026","displayName":"Nir Pilo","name":"Nir Pilo","firstName":"Nir","lastName":"Pilo","company":"AWS"},{"id":"1726081823649001vWoP_17746331reinvent2026","displayName":"Felipe Baron","name":"Felipe Baron","firstName":"Felipe","lastName":"Baron","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Gamified learning"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Security Agent"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Threat Intelligence"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Hands-on"}],"seatCapacity":176},{"id":"1780441481111001GsDj","hash":"90fcead2798beaecf85408b1a3ba2ee6","shortId":"SEC329","title":"Security leverage at AI velocity: the operating model shift","abstract":"The speed AI gives your developers is also available to attackers, so AI investment is now a security decision as much as an engineering one. This session covers three changes to how security teams work when engineers pair with frontier agents. Agents carry application context across design, code, and pen testing, so security coverage keeps pace with development. When an agent builds a working proof of exploit for a finding, or shows that an existing control already blocks it, the security team no longer has to argue over whether the finding is real, and the false-positive queue shrinks. Agentic development environments also let you put preventive controls on what agents generate. We cover how to adopt these practices and which signals show they're working.","startDateTime":"2026-12-03T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025535563001C056","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408412568001uqis_17746331reinvent2026","displayName":"Ram Ramani","name":"Ram Ramani","firstName":"Ram","lastName":"Ramani","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Culture of Security"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780442236230001cn8Y","hash":"0d322d2e62b7a8ef7e235521305987bc","shortId":"BIZ305","title":"Security → Zero-Trust Identity & Data Protection in Amazon Quick","abstract":"Security reviews stall AI rollouts more than any capability gap, and agentic AI raises the bar. This chalk talk goes past \"is it secure?\" to the architecture that gets a CISO to yes for Amazon Quick. We'll whiteboard the full identity path in Quick: SSO through providers like Okta and Ping, with end-user identity propagated to the data so authorization is enforced per user, in real time, across 1P AWS and 3P sources. Then we extend that trust to Quick agents: agent identity, deterministic policy checks on every tool call, and data protection, including Purview DLP, default guardrails, deny-by-default, and full SIEM auditability.","startDateTime":"2026-11-30T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-11-30T22:30:00.000Z","endDateTime":"2026-11-30T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025490647001Cxgj","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1790811182022001feNa_17746331reinvent2026","displayName":"Munish Gopal","name":"Munish Gopal","firstName":"Munish","lastName":"Gopal","company":"Amazon"},{"id":"1759334193493001hV8N_17746331reinvent2026","displayName":"Priya Kakarla","name":"Priya Kakarla","firstName":"Priya","lastName":"Kakarla","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70},{"id":"1790358242568001iHNl","hash":"fcb8c48c39bcdfff933ae62bc1765031","shortId":"NET301-R1","title":"See the routes change: Live BGP with AWS Direct Connect","abstract":"AWS Direct Connect can feel like a mystery beneath the surface, and many customers never get hands-on access. In this show and tell, we change that. Starting from a live connection and on-premises router, watch a Direct Connect maintenance unfold in real-time from both sides of the BGP session. See how AWS signals maintenance ahead of time through AS path prepending, graceful shutdown, and how traffic shifts to the backup path before any route is withdrawn. Whether you run 1G or hundreds of 100G ports, leave with the policy and checklist to get through your next maintenance without a page.","startDateTime":"2026-12-01T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-01T19:30:00.000Z","endDateTime":"2026-12-01T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790360373319001Aib6","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1788202395211001sWmr_17746331reinvent2026","displayName":"Harold Lotz","name":"Harold Lotz","firstName":"Harold","lastName":"Lotz","company":"Amazon Web Services"},{"id":"1756397106623001x7oI_17746331reinvent2026","displayName":"Josh Dean","name":"Josh Dean","firstName":"Josh","lastName":"Dean","company":"Amazon"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Direct Connect"},{"id":"Services","displayName":"AWS Interconnect"}],"topics":[{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"},{"id":"Topic","displayName":"Networking & Content Delivery"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":80,"repeats":[{"id":"1780442257039001cTAG","shortId":"NET301-R","startDateTime":"2026-11-30T21:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","startTime":"13:00","endTime":"14:00","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442257039001cTAG","hash":"07dbc165da3d1d520be08fac08ef5f39","shortId":"NET301-R","title":"See the routes change: Live BGP with AWS Direct Connect","abstract":"AWS Direct Connect can feel like a mystery beneath the surface, and many customers never get hands-on access. In this show and tell, we change that. Starting from a live connection and on-premises router, watch a Direct Connect maintenance unfold in real-time from both sides of the BGP session. See how AWS signals maintenance ahead of time through AS path prepending, graceful shutdown, and how traffic shifts to the backup path before any route is withdrawn. Whether you run 1G or hundreds of 100G ports, leave with the policy and checklist to get through your next maintenance without a page.","startDateTime":"2026-11-30T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-11-30T21:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025486793001CNCm","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1788202395211001sWmr_17746331reinvent2026","displayName":"Harold Lotz","name":"Harold Lotz","firstName":"Harold","lastName":"Lotz","company":"Amazon Web Services"},{"id":"1756397106623001x7oI_17746331reinvent2026","displayName":"Josh Dean","name":"Josh Dean","firstName":"Josh","lastName":"Dean","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Direct Connect"},{"id":"Services","displayName":"AWS Interconnect"}],"topics":[{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"},{"id":"Topic","displayName":"Networking & Content Delivery"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":66,"repeats":[{"id":"1790358242568001iHNl","shortId":"NET301-R1","startDateTime":"2026-12-01T19:30:00.000Z","endDateTime":"2026-12-01T20:30:00.000Z","startTime":"11:30","endTime":"12:30","day":"Tuesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442253925001cfrR","hash":"9febecd3a03abb257507408f6f7b55d6","shortId":"AIM3311","title":"See where every AI dollar goes on Amazon Bedrock","abstract":"AI spend scales fast, and you can't optimize what you can't attribute. In this code talk, build Bedrock cost visibility live: combine CloudWatch metrics and supported invocation logs for timely usage signals with Cost Explorer and CUR 2.0 for billing reporting. Add attribution by IAM principal and cost-allocation tags, then assemble a dashboard that maps spend to teams, workloads, and models while accounting for each source's freshness and granularity. Turn that visibility into action: match steady workloads to Reserved Tier, choose models for price-performance, and set budgets and alerts. Use these signals to reconcile engineering usage with finance reports.","startDateTime":"2026-12-01T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-01T20:00:00.000Z","endDateTime":"2026-12-01T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790033115427001qeNr","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1736355797604001IabX_17746331reinvent2026","displayName":"Fahad Ahmed","name":"Fahad Ahmed","firstName":"Fahad","lastName":"Ahmed","company":"AWS"},{"id":"1729625707541001oDCO_17746331reinvent2026","displayName":"Yiwen Zhang","name":"Yiwen Zhang","firstName":"Yiwen","lastName":"Zhang","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":120},{"id":"1780442238563001coRV","hash":"cb1de46d72121da119f8207ad8aa50b9","shortId":"CMP320","title":"Select and launch the right EC2 instance for your workload and budget","abstract":"With hundreds of EC2 instance types spanning compute, memory, storage, and accelerator families, choosing the right one can be overwhelming. In this session, learn a practical framework for matching your workload characteristics—CPU, memory, network, and storage requirements—to the optimal instance type and size. We cover cost-performance tradeoffs across On-Demand, Spot, and Savings Plans, share real-world selection patterns for common workloads, and demo tools that simplify decision-making. Leave with a repeatable process to right-size from day one.","startDateTime":"2026-12-03T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025543244001C7yX","lastModified":"2026-11-02T16:43:56Z","speakers":[{"id":"1758084679854001sM63_17746331reinvent2026","displayName":"Tirtho Deb","name":"Tirtho Deb","firstName":"Tirtho","lastName":"Deb","company":"AWS"},{"id":"1756396972602001xeMA_17746331reinvent2026","displayName":"Ian Bablewski","name":"Ian Bablewski","firstName":"Ian","lastName":"Bablewski","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"}],"topics":[{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[{"id":"Role","displayName":"Advisor / Consultant"},{"id":"Role","displayName":"System Administrator"},{"id":"Role","displayName":"Tech Explorer"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82},{"id":"1780442267098001cKr2","hash":"93b9db08fbe442abc8023d80deae99af","shortId":"BIZ204-S","title":"Self-Healing Enterprise-Wipro & AWS Moving from System of Record to System of Action (sponsored by Wipro)","abstract":"For decades, enterprises have invested in technologies that digitize, automate and optimize work. Yet when disruptions occur, decisions still depend on emails, escalations, meetings and manual coordination across teams. The next phase of enterprise transformation is about creating enterprises that can sense change, assess impact, coordinate responses and drive outcomes at speed. Wipro and AWS demonstrate how intelligent agents, enterprise systems and human expertise come together to create a Self-Healing Enterprise, one that can proactively identify issues, orchestrate actions across functions and continuously adapt while keeping humans accountable for critical business decisions. Through a realistic business disruption scenario, see how organizations can evolve beyond visibility and automation towards systems of action that improve resilience, responsiveness and operational efficiency. This presentation is brought to you by Wipro, an AWS Partner.","startDateTime":"2026-12-03T19:00:00.000Z","startTime":"11:00","startTimeFormatted":"2026-12-03T19:00:00.000Z","endDateTime":"2026-12-03T19:20:00.000Z","endTime":"11:20","sessionTimeId":"1790033120789001qfmk","lastModified":"2026-11-03T22:08:29Z","speakers":[{"id":"1789570364876001Y8vQ_17746331reinvent2026","displayName":"Saurabh Vadhera","name":"Saurabh Vadhera","firstName":"Saurabh","lastName":"Vadhera","company":"WIPRO"}],"venueRoomName":"Level 2 | Hall B | Expo | Builder Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442280624001cKwQ","hash":"be4ab789fa97f0f676e76092176c5890","shortId":"HMC403-R","title":" Self-managed agentic AI at the hybrid edge","abstract":"As organizations use agentic AI to automate complex infrastructure operations, many have data residency, low latency, and security requirements that depend on running AI closer to their data. This workshop explores how customers deploy self-managed agentic AI at the hybrid edge to meet these requirements while enabling autonomous operations. Learn how to architect, provision, configure, and optimize AI agents that run locally, and how to extend the same architecture to AWS hybrid and edge infrastructure such as AWS Local Zones and AWS Outposts.","startDateTime":"2026-12-03T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T18:30:00.000Z","endTime":"10:30","sessionTimeId":"1790025530678001CqYL","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1770343683355001t5q7_17746331reinvent2026","displayName":"Fernando Galves","name":"Fernando Galves","firstName":"Fernando","lastName":"Galves","company":"Amazon Web Services"},{"id":"1725408488177001uJZP_17746331reinvent2026","displayName":"Chris McEvilly","name":"Chris McEvilly","firstName":"Chris","lastName":"McEvilly","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"AWS Local Zones"},{"id":"Services","displayName":"AWS Outposts"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Advisor / Consultant"},{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Tech Explorer"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140,"repeats":[{"id":"1790358218054001iHcn","shortId":"HMC403-R1","startDateTime":"2026-12-01T20:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","startTime":"12:30","endTime":"14:30","day":"Tuesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358218054001iHcn","hash":"6801a33800ee3bd938fb4fc6cedd5110","shortId":"HMC403-R1","title":" Self-managed agentic AI at the hybrid edge","abstract":"As organizations use agentic AI to automate complex infrastructure operations, many have data residency, low latency, and security requirements that depend on running AI closer to their data. This workshop explores how customers deploy self-managed agentic AI at the hybrid edge to meet these requirements while enabling autonomous operations. Learn how to architect, provision, configure, and optimize AI agents that run locally, and how to extend the same architecture to AWS hybrid and edge infrastructure such as AWS Local Zones and AWS Outposts.","startDateTime":"2026-12-01T20:30:00.000Z","startTime":"12:30","startTimeFormatted":"2026-12-01T20:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790360379953001AEjZ","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1770343683355001t5q7_17746331reinvent2026","displayName":"Fernando Galves","name":"Fernando Galves","firstName":"Fernando","lastName":"Galves","company":"Amazon Web Services"},{"id":"1725408488177001uJZP_17746331reinvent2026","displayName":"Chris McEvilly","name":"Chris McEvilly","firstName":"Chris","lastName":"McEvilly","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"AWS Local Zones"},{"id":"Services","displayName":"AWS Outposts"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Advisor / Consultant"},{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Tech Explorer"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":112,"repeats":[{"id":"1780442280624001cKwQ","shortId":"HMC403-R","startDateTime":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T18:30:00.000Z","startTime":"08:30","endTime":"10:30","day":"Thursday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1791492157030001UxcK","hash":"4270d7cd82ae3ee6618b61e4cd9f670b","shortId":"TNC139-R","title":"Self-Paced Training: Free Hands-On Cloud Learning ","abstract":"Advance your AWS Cloud and AI expertise at your own pace with free self-paced training. 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All workstations are provided, and no registration is equired to get started.","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1793920696339001Z8x4","lastModified":"2026-11-05T23:23:27Z","speakers":[],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Lab"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[],"seatCapacity":144,"repeats":[{"id":"1791492156709001U7te","shortId":"TNC139-R2","startDateTime":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","startTime":"08:30","endTime":"17:30","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}},{"id":"1791492156938001UvyU","shortId":"TNC139-R1","startDateTime":"2026-12-01T16:30:00.000Z","endDateTime":"2026-12-02T01:30:00.000Z","startTime":"08:30","endTime":"17:30","day":"Tuesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}},{"id":"1791492156838001Unwo","shortId":"TNC139-R3","startDateTime":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","startTime":"08:30","endTime":"17:00","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1791492156709001U7te","hash":"a93844e8b59befff3f98158de0dedf27","shortId":"TNC139-R2","title":"Self-Paced Training: Free Hands-On Cloud Learning ","abstract":"Advance your AWS Cloud and AI expertise at your own pace with free self-paced training. Experience AI-powered simulations with SimuLearn, practice building real solutions in live environments with Builder Labs, test your problem-solving abilities through AWS Jam challenges, or explore game-based learning like Cloud Quest and Meeting Simulator. With over 200 offerings for both technical professionals and decision makers, these interactive options provide everything needed to grow your cloud skills. All workstations are provided, and no registration is equired to get started.","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1793920949523001aluy","lastModified":"2026-11-05T23:54:56Z","speakers":[],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Lab"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[],"areaOfInterest":[],"industry":[],"role":[],"features":[],"seatCapacity":144,"repeats":[{"id":"1791492157030001UxcK","shortId":"TNC139-R","startDateTime":"2026-11-30T16:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","startTime":"08:30","endTime":"17:30","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}},{"id":"1791492156938001UvyU","shortId":"TNC139-R1","startDateTime":"2026-12-01T16:30:00.000Z","endDateTime":"2026-12-02T01:30:00.000Z","startTime":"08:30","endTime":"17:30","day":"Tuesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}},{"id":"1791492156838001Unwo","shortId":"TNC139-R3","startDateTime":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","startTime":"08:30","endTime":"17:00","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1791492156938001UvyU","hash":"5a3029c03c6af986ee247e27990e31c4","shortId":"TNC139-R1","title":"Self-Paced Training: Free Hands-On Cloud Learning ","abstract":"Advance your AWS Cloud and AI expertise at your own pace with free self-paced training. Experience AI-powered simulations with SimuLearn, practice building real solutions in live environments with Builder Labs, test your problem-solving abilities through AWS Jam challenges, or explore game-based learning like Cloud Quest and Meeting Simulator. With over 200 offerings for both technical professionals and decision makers, these interactive options provide everything needed to grow your cloud skills. All workstations are provided, and no registration is equired to get started.","startDateTime":"2026-12-01T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-01T16:30:00.000Z","endDateTime":"2026-12-02T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1793920919703001D3gk","lastModified":"2026-11-05T23:54:14Z","speakers":[],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Lab"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[],"areaOfInterest":[],"industry":[],"role":[],"features":[],"seatCapacity":144,"repeats":[{"id":"1791492157030001UxcK","shortId":"TNC139-R","startDateTime":"2026-11-30T16:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","startTime":"08:30","endTime":"17:30","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}},{"id":"1791492156709001U7te","shortId":"TNC139-R2","startDateTime":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","startTime":"08:30","endTime":"17:30","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}},{"id":"1791492156838001Unwo","shortId":"TNC139-R3","startDateTime":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","startTime":"08:30","endTime":"17:00","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1791492156838001Unwo","hash":"4dcbd0e1bfe82468dcae9ec6432d6c50","shortId":"TNC139-R3","title":"Self-Paced Training: Free Hands-On Cloud Learning ","abstract":"Advance your AWS Cloud and AI expertise at your own pace with free self-paced training. Experience AI-powered simulations with SimuLearn, practice building real solutions in live environments with Builder Labs, test your problem-solving abilities through AWS Jam challenges, or explore game-based learning like Cloud Quest and Meeting Simulator. With over 200 offerings for both technical professionals and decision makers, these interactive options provide everything needed to grow your cloud skills. All workstations are provided, and no registration is equired to get started.","startDateTime":"2026-12-03T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1793920995653001Br8k","lastModified":"2026-11-06T00:00:00Z","speakers":[],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Lab"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[],"areaOfInterest":[],"industry":[],"role":[],"features":[],"seatCapacity":144,"repeats":[{"id":"1791492157030001UxcK","shortId":"TNC139-R","startDateTime":"2026-11-30T16:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","startTime":"08:30","endTime":"17:30","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}},{"id":"1791492156709001U7te","shortId":"TNC139-R2","startDateTime":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","startTime":"08:30","endTime":"17:30","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}},{"id":"1791492156938001UvyU","shortId":"TNC139-R1","startDateTime":"2026-12-01T16:30:00.000Z","endDateTime":"2026-12-02T01:30:00.000Z","startTime":"08:30","endTime":"17:30","day":"Tuesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442236832001c07O","hash":"ccfb2fcc13d88ea50a0926184dce675f","shortId":"BIZ324","title":"Self-Tuning Demand Forecasts: How Agentic AI Puts Business Users in the Driver's Seat","abstract":"Amazon Connect Decisions is redefining how organizations approach demand forecast tuning. Traditionally, improving forecast accuracy meant navigating complex data engineering pipelines and hyperparameter optimization — work that was time-intensive, technically demanding, and largely inaccessible to business users. In this chalk talk, we unpack how Amazon Connect Decisions takes an agentic approach to solve this: intelligent agents continuously self-tune demand forecast models by incorporating business user feedback directly into the refinement loop, removing the undifferentiated heavy lifting. Walk through a live demonstration of self-tuning in action, learn how this business-first approach shifts forecast ownership to the people who understand the demand signals best, and discuss how Amazon Connect Decisions is shaping the future of agentic supply chain solutions.","startDateTime":"2026-12-01T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-01T00:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025498082001CoMj","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726012418252001g5Dl_17746331reinvent2026","displayName":"Colby Ward","name":"Colby Ward","firstName":"Colby","lastName":"Ward","company":"AWS"},{"id":"1739207807810001FBSk_17746331reinvent2026","displayName":"Ali Zagros","name":"Ali Zagros","firstName":"Ali","lastName":"Zagros","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70},{"id":"1780441494469001GQ2b","hash":"cd621eb0abd35463d12757e7ef823dad","shortId":"INV520","title":"Self-verifiable watermarks: defending AI provenance against forgery","abstract":"As organizations deploy generative AI at scale, watermarking has become the critical trust layer for establishing content provenance, meeting emerging regulatory requirements, and protecting brand integrity. But what if an adversary could stamp a fake watermark onto any image and frame your service? We show a diffusion-based forgery attack bypasses current defenses with just 1,000 samples. To close this gap, we introduce a self-verifiable message mechanism—SeedBind and ContentBind—that transforms verification into a structural consistency check, reducing forged bit accuracy to near-random without modifying the underlying watermarking pipeline. Discover how to harden AI provenance at scale.","startDateTime":"2026-11-30T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-11-30T21:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025485665001C15f","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1787937200874001GIoB_17746331reinvent2026","displayName":"Weitong Ruan","name":"Weitong Ruan","firstName":"Weitong","lastName":"Ruan","company":"Amazon"},{"id":"1790179714033001mNm0_17746331reinvent2026","displayName":"Fan Yang","name":"Fan Yang","firstName":"Fan","lastName":"Yang","company":"Amazon.com Inc"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Nova"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82},{"id":"1780441472624001GW9v","hash":"ac8646204538f45a89eed72f3fd3fe6f","shortId":"PEX217","title":"Sell to AI agents through AWS Marketplace","abstract":"Today, buyers are using autonomous AI agents for discovery and digital purchases on their behalf. AWS Marketplace enables buyers' agents to discover partner solutions, transact securely, and meet their enterprise governance controls. As a seller in AWS Marketplace, learn how to sell products that support agentic discovery and procurement to position your offerings for this new frontier.","startDateTime":"2026-12-04T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-04T17:00:00.000Z","endDateTime":"2026-12-04T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1791224280614001tICh","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Blue Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Friday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780441480319001GM8a","hash":"4024d65e73904b853b6f5d9e056f359e","shortId":"PEX203","title":"Sell to the AI Buyer, Scale Revenue, and Build Long-Term Value","abstract":"The buying journey is shifting to AI agents and assistants that evaluate and procure software autonomously. If your solution isn't readable and transactable by a machine, you're invisible to a growing share of the market. This session shows AWS Partners how to show up for the AI buyer, from listing optimization to working alongside other agents, and how a growth toolkit (trials, bundling, demand generation) turns visibility into compounding revenue. Walk away with an implementation path that covers day-one discoverability through long-term governance.","startDateTime":"2026-12-02T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025516282001C1R3","lastModified":"2026-11-06T01:28:59Z","speakers":[{"id":"1790804704758001FZdE_17746331reinvent2026","displayName":"Boone Quesnel","name":"Boone Quesnel","firstName":"Boone","lastName":"Quesnel","company":"SpaceXAI"},{"id":"1725408415571001uWj5_17746331reinvent2026","displayName":"Christopher Spandikow","name":"Christopher Spandikow","firstName":"Christopher","lastName":"Spandikow","company":"Amazon Web Services"},{"id":"1727906616979001Dz0y_17746331reinvent2026","displayName":"Jeff Falcon","name":"Jeff Falcon","firstName":"Jeff","lastName":"Falcon","company":"Amazon"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Sales / Marketing"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1791492160417001UwPV","hash":"2bcf9f9818015e38f43f39dfed46be92","shortId":"SUP107","title":"Sequoia + Edelbyte: What VCs really look for in AI-first startups","abstract":"Sequoia and Edelbyte share what VCs are really looking for when evaluating AI-first startups. This session covers how investment criteria have shifted for AI-native companies, what separates fundable AI startups from the rest, and what founders should understand about how VCs are thinking about AI-first business models today.","startDateTime":"2026-12-02T21:20:00.000Z","startTime":"13:20","startTimeFormatted":"2026-12-02T21:20:00.000Z","endDateTime":"2026-12-02T21:40:00.000Z","endTime":"13:40","sessionTimeId":"1793317700839001KWVu","lastModified":"2026-11-06T01:28:59Z","speakers":[{"id":"1793388070469001MalP_17746331reinvent2026","displayName":"Yoni L.","name":"Yoni L.","firstName":"Yoni","lastName":"L.","company":"Edelbyte"}],"venueRoomName":"Level 1 | Forum Event Plaza | Startup Plaza Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Entrepreneur (Founder/Co-Founder)"},{"id":"Role","displayName":"Venture Capitalist"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":70},{"id":"1790358253399001i0ub","hash":"06c1b0386947beba91708e439a44065f","shortId":"SVS329-R1","title":"Serverless application testing in the age of agents","abstract":"Serverless and agentic tools let you ship fast. A strong testing foundation is what makes that speed sustainable - for you and your agents. In this chalk talk, we whiteboard the testing patterns that matter most for serverless and event-driven applications: structuring code for testability, validating service interactions in the cloud, and building harnesses for asynchronous workflows. Join to explore local versus cloud testing tradeoffs and what new test dimensions agents enable for serverless developers. Walk away knowing how to give your agents the feedback loops they need to move quickly, iterate autonomously, and stay on the rails.","startDateTime":"2026-12-02T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-02T17:00:00.000Z","endDateTime":"2026-12-02T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790360395874001AcRp","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1724860776357001lfFL_17746331reinvent2026","displayName":"Brian Krygsman","name":"Brian Krygsman","firstName":"Brian","lastName":"Krygsman","company":"AWS"},{"id":"1724956002212001mv4t_17746331reinvent2026","displayName":"Rajdeep Banerjee","name":"Rajdeep Banerjee","firstName":"Rajdeep","lastName":"Banerjee","company":"Amazon"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon EventBridge"},{"id":"Services","displayName":"AWS Lambda"},{"id":"Services","displayName":"AWS Step Functions"}],"topics":[{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Event-Driven Architecture"},{"id":"AreaofInterest","displayName":"Lambda-Based Applications"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1780442251182001cAGd","shortId":"SVS329-R","startDateTime":"2026-11-30T21:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","startTime":"13:00","endTime":"14:00","day":"Monday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Academy 417"}]},{"id":"1780442251182001cAGd","hash":"f72899bc4d0f8879620705fa730f79f4","shortId":"SVS329-R","title":"Serverless application testing in the age of agents","abstract":"Serverless and agentic tools let you ship fast. 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These different layers have been arranged over many years of procuring tools, but can sometimes feel like a jumbled mess in the AI era. This session offers a practical way to reexamine your tech architecture. We'll cover four patterns that recur across organizations as they try to structure their business for the AI era, plus pitfalls to avoid to ensure your tech stack is optimized for AI. 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Rather than patching together fragmented tools and manual planning processes, the team envisioned the experience they wanted to create for guests and their people, then worked backward to build it. The result was a unified, AI-powered experience launched globally, giving employees more time to build meaningful connections with guests.\n\nThis session explores how lululemon built a fundamentally different future for Guest Support and the principles leaders can use to do the same at their organization.","startDateTime":"2026-12-03T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025543095001ChZc","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1787636372672001rTFh_17746331reinvent2026","displayName":"Shadi El Baba","name":"Shadi El Baba","firstName":"Shadi","lastName":"El Baba","company":"lululemon athletica canada Inc."},{"id":"1725408420911001umVq_17746331reinvent2026","displayName":"Hannah Bloking","name":"Hannah Bloking","firstName":"Hannah","lastName":"Bloking","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780441490740001GCbS","hash":"43150e2e9615fbee884d2fca3d233581","shortId":"STG309","title":"Shared file storage for containers, serverless, and Lambda","abstract":"Containers spin up and disappear. 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This session is about building a security function whose core output is shared judgment with the engineers it serves.","startDateTime":"2026-12-04T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-04T18:30:00.000Z","endDateTime":"2026-12-04T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025552930001CqCx","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1758906407030001I34q_17746331reinvent2026","displayName":"Samantha Wylatowska","name":"Samantha Wylatowska","firstName":"Samantha","lastName":"Wylatowska","company":"Amazon Web Services"},{"id":"1725408480550001ufCb_17746331reinvent2026","displayName":"Jonathan Jenkyn","name":"Jonathan Jenkyn","firstName":"Jonathan","lastName":"Jenkyn","company":"AWS Security Assurance Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Friday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Security Agent"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1790875693688001I7vi","shortId":"SEC350-R1","startDateTime":"2026-12-04T00:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","startTime":"16:00","endTime":"17:00","day":"Thursday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790875693688001I7vi","hash":"ee2da8335c8c718e26c8fcd951760e84","shortId":"SEC350-R1","title":"Shared judgment: security culture for the agentic era","abstract":"Your agents are reviewing PRs, shipping code, and answering messages. They communicate on your behalf, surfacing every weak relationship in your org. Soft skills have never mattered more. Shift Left and Shift Down brought security in as automation to build trust in systems. Agents have moved the question to trust between humans. Security teams have historically operated at a remove: by org chart, tooling, and reputation. That distance becomes a liability when agents reduce the time between decision and consequence. This session is about building a security function whose core output is shared judgment with the engineers it serves.","startDateTime":"2026-12-04T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-04T00:00:00.000Z","endDateTime":"2026-12-04T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790875909409001w2B3","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408480550001ufCb_17746331reinvent2026","displayName":"Jonathan Jenkyn","name":"Jonathan Jenkyn","firstName":"Jonathan","lastName":"Jenkyn","company":"AWS Security Assurance Services"},{"id":"1758906407030001I34q_17746331reinvent2026","displayName":"Samantha Wylatowska","name":"Samantha Wylatowska","firstName":"Samantha","lastName":"Wylatowska","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Security Agent"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1780441502219001GmKT","shortId":"SEC350-R","startDateTime":"2026-12-04T18:30:00.000Z","endDateTime":"2026-12-04T19:30:00.000Z","startTime":"10:30","endTime":"11:30","day":"Friday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442268781001cNbo","hash":"e9505a367a54cec2b85d66955a1afb55","shortId":"AIM269-S","title":"Ship agents, not chaos: a 90-day pattern for production on AWS. 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Audit-ready patterns from CDW customer engagements across regulated commercial and public-sector missions are included This presentation is brought to you by Mission Cloud, a CDW Company, an AWS Partner.","startDateTime":"2026-12-02T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-02T20:00:00.000Z","endDateTime":"2026-12-02T20:20:00.000Z","endTime":"12:20","sessionTimeId":"1790033124622001qIkZ","lastModified":"2026-11-06T01:41:08Z","speakers":[{"id":"1727224982433001IDD9_17746331reinvent2026","displayName":"Asim Iqbal","name":"Asim Iqbal","firstName":"Asim","lastName":"Iqbal","company":"CDW Gov"}],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Data Scientist"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442248699001cMY5","hash":"ec4b3202d719873b953ec11791cd4aa6","shortId":"PEX305-R","title":"Ship Agents You Can Trust: An Agent Evaluation Framework for Partners","abstract":"Partners shipping production agents at scale need to answer: is this good enough for customers? Agentic transformation doesn't end at build; quality evaluation is the missing layer. In this chalk talk, we walk through an open-source evaluation framework: define test criteria for your agent, run it in a sandbox on Bedrock, calibrate an automated judge against human labels, and track failure rates in CI. For multi-agent systems, attribute failures to the agent that caused them, not where the harm showed up.","startDateTime":"2026-11-30T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-11-30T21:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025486940001CUN6","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1728072314603001B9Sh_17746331reinvent2026","displayName":"Neha Wadhwani","name":"Neha Wadhwani","firstName":"Neha","lastName":"Wadhwani","company":"Amazon Web Services"},{"id":"1726798860306001eGTL_17746331reinvent2026","displayName":"Vishal Srivastava","name":"Vishal Srivastava","firstName":"Vishal","lastName":"Srivastava","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Open Source"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Responsible AI"},{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1790358237264001ixKd","shortId":"PEX305-R1","startDateTime":"2026-12-02T17:00:00.000Z","endDateTime":"2026-12-02T18:00:00.000Z","startTime":"09:00","endTime":"10:00","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358237264001ixKd","hash":"eb35587067b644144e3dee4469b66ac0","shortId":"PEX305-R1","title":"Ship Agents You Can Trust: An Agent Evaluation Framework for Partners","abstract":"Partners shipping production agents at scale need to answer: is this good enough for customers? Agentic transformation doesn't end at build; quality evaluation is the missing layer. In this chalk talk, we walk through an open-source evaluation framework: define test criteria for your agent, run it in a sandbox on Bedrock, calibrate an automated judge against human labels, and track failure rates in CI. For multi-agent systems, attribute failures to the agent that caused them, not where the harm showed up.","startDateTime":"2026-12-02T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-02T17:00:00.000Z","endDateTime":"2026-12-02T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790360397139001A7uN","lastModified":"2026-11-05T18:42:54Z","speakers":[{"id":"1726798860306001eGTL_17746331reinvent2026","displayName":"Vishal Srivastava","name":"Vishal Srivastava","firstName":"Vishal","lastName":"Srivastava","company":"Amazon Web Services"},{"id":"1728072314603001B9Sh_17746331reinvent2026","displayName":"Neha Wadhwani","name":"Neha Wadhwani","firstName":"Neha","lastName":"Wadhwani","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Open Source"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Responsible AI"},{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1780442248699001cMY5","shortId":"PEX305-R","startDateTime":"2026-11-30T21:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","startTime":"13:00","endTime":"14:00","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1784231862275001EyFb","hash":"cd90040c70ed372cf6d763240dd4978d","shortId":"TNC331-R","title":"Ship AI Agents Faster with AgentCore Harness","abstract":"Building a production-ready AI agent meant writing orchestration code, packaging containers, and managing deployment pipelines. AgentCore Harness eliminates all of that. In this hands-on lab, you declare what your agent does through configuration and let AgentCore handle the execution loop. You create a harness agent, iteratively add tools, attach AWS Skills, swap models mid-session to suit your output requirements, and publish versioned endpoints for safe rollout to your customers. ","startDateTime":"2026-11-30T22:00:00.000Z","startTime":"14:00","startTimeFormatted":"2026-11-30T22:00:00.000Z","endDateTime":"2026-11-30T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790019136950001FnqD","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726039314817001Bimm_17746331reinvent2026","displayName":"Nidhi Seth","name":"Nidhi Seth","firstName":"Nidhi","lastName":"Seth","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Lab"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":136,"repeats":[{"id":"1784231863278001EKYv","shortId":"TNC331-R1","startDateTime":"2026-12-03T16:00:00.000Z","endDateTime":"2026-12-03T17:30:00.000Z","startTime":"08:00","endTime":"09:30","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1784231863278001EKYv","hash":"ffb457e2f3fef2a02c417b838d5556d8","shortId":"TNC331-R1","title":"Ship AI Agents Faster with AgentCore Harness","abstract":"Building a production-ready AI agent meant writing orchestration code, packaging containers, and managing deployment pipelines. AgentCore Harness eliminates all of that. In this hands-on lab, you declare what your agent does through configuration and let AgentCore handle the execution loop. You create a harness agent, iteratively add tools, attach AWS Skills, swap models mid-session to suit your output requirements, and publish versioned endpoints for safe rollout to your customers. ","startDateTime":"2026-12-03T16:00:00.000Z","startTime":"08:00","startTimeFormatted":"2026-12-03T16:00:00.000Z","endDateTime":"2026-12-03T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790981037904001X0Sy","lastModified":"2026-11-04T22:12:35Z","speakers":[{"id":"1726039314817001Bimm_17746331reinvent2026","displayName":"Nidhi Seth","name":"Nidhi Seth","firstName":"Nidhi","lastName":"Seth","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Lab"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Hands-on"}],"seatCapacity":136,"repeats":[{"id":"1784231862275001EyFb","shortId":"TNC331-R","startDateTime":"2026-11-30T22:00:00.000Z","endDateTime":"2026-11-30T23:30:00.000Z","startTime":"14:00","endTime":"15:30","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780441499808001Gb6u","hash":"98740bdfcfcc373c89d4fe60ec1fe659","shortId":"DVT308-R","title":"Ship faster with AWS CloudFormation","abstract":"AWS CloudFormation lets you manage infrastructure as code with increasing confidence and speed, whether you're deploying directly or through AI agents. In this chalk talk, we dive into the capabilities that shorten your dev-test cycle and keep deployments safe: deploy in seconds with Express mode, catch errors before deployment with pre-deployment validation, author templates faster using the CloudFormation Language Server in your IDE, connect AI agents to CloudFormation with the Agent Skill and MCP Server, reorganize stacks without disruption using Stack Refactoring, and prevent accidental overwrites with drift-aware change sets. Bring your templates and your toughest questions, we'll workshop solutions live.","startDateTime":"2026-12-01T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-01T19:30:00.000Z","endDateTime":"2026-12-01T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025500364001CnBb","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1758753465522001TTSt_17746331reinvent2026","displayName":"Idriss laouali","name":"Idriss laouali","firstName":"Idriss","lastName":"laouali","company":"Amazon Web Services"},{"id":"1758841628201001AkgR_17746331reinvent2026","displayName":"Diwakar Chakravarthy","name":"Diwakar Chakravarthy","firstName":"Diwakar","lastName":"Chakravarthy","company":"Amazon.com"}],"venueRoomName":"Level 1 | Academy 417","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS CloudFormation"}],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Management & Governance"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Administrator"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1790358229375001iVh6","shortId":"DVT308-R1","startDateTime":"2026-12-02T17:00:00.000Z","endDateTime":"2026-12-02T18:00:00.000Z","startTime":"09:00","endTime":"10:00","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358229375001iVh6","hash":"71676d31643f5e49ff94d2204df29387","shortId":"DVT308-R1","title":"Ship faster with AWS CloudFormation","abstract":"AWS CloudFormation lets you manage infrastructure as code with increasing confidence and speed, whether you're deploying directly or through AI agents. In this chalk talk, we dive into the capabilities that shorten your dev-test cycle and keep deployments safe: deploy in seconds with Express mode, catch errors before deployment with pre-deployment validation, author templates faster using the CloudFormation Language Server in your IDE, connect AI agents to CloudFormation with the Agent Skill and MCP Server, reorganize stacks without disruption using Stack Refactoring, and prevent accidental overwrites with drift-aware change sets. Bring your templates and your toughest questions, we'll workshop solutions live.","startDateTime":"2026-12-02T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-02T17:00:00.000Z","endDateTime":"2026-12-02T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790360388362001AWEM","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1758753465522001TTSt_17746331reinvent2026","displayName":"Idriss laouali","name":"Idriss laouali","firstName":"Idriss","lastName":"laouali","company":"Amazon Web Services"},{"id":"1758841628201001AkgR_17746331reinvent2026","displayName":"Diwakar Chakravarthy","name":"Diwakar Chakravarthy","firstName":"Diwakar","lastName":"Chakravarthy","company":"Amazon.com"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS CloudFormation"}],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Management & Governance"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Administrator"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1780441499808001Gb6u","shortId":"DVT308-R","startDateTime":"2026-12-01T19:30:00.000Z","endDateTime":"2026-12-01T20:30:00.000Z","startTime":"11:30","endTime":"12:30","day":"Tuesday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Academy 417"}]},{"id":"1780442230419001cZLA","hash":"577336a79046c76c646d4b0137565b4e","shortId":"SEC404","title":"Ship permissions faster: IAM policy tools in your CI/CD pipeline","abstract":"Build a complete permissions pipeline that identifies IAM policy issues at code review. In this session, we build the pipeline stages: validate policies at pull request time with Access Analyzer, simulate critical access paths before deployment, preview Service Control Policies (SCP) impact against real CloudTrail data, and automatically triage Access Denied errors in production using IAM's new debugging API and autofix recommendations. We'll write commit gates that block overly permissive policies, integration tests that ensure operational permissions, and auto-triage that turns production denials into automated remediation commits.","startDateTime":"2026-12-03T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-03T21:30:00.000Z","endDateTime":"2026-12-03T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025545804001CI03","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1748638360096001f11K_17746331reinvent2026","displayName":"Todd Kudlicki","name":"Todd Kudlicki","firstName":"Todd","lastName":"Kudlicki","company":"Amazon Web Services"},{"id":"1734547589817001ADMH_17746331reinvent2026","displayName":"Siva Rajamani","name":"Siva Rajamani","firstName":"Siva","lastName":"Rajamani","company":"Amazon Web Services"},{"id":"1725408480876001uXhk_17746331reinvent2026","displayName":"Moumita Saha","name":"Moumita Saha","firstName":"Moumita","lastName":"Saha","company":"Amazon Web Services"},{"id":"1725408282680001uJOu_17746331reinvent2026","displayName":"Kevin Shanley","name":"Kevin Shanley","firstName":"Kevin","lastName":"Shanley","company":"AWS"},{"id":"1787937135328001Gi1G_17746331reinvent2026","displayName":"Diana Yin","name":"Diana Yin","firstName":"Diana","lastName":"Yin","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"AWS CloudTrail"},{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"},{"id":"Services","displayName":"AWS IAM Access Analyzer"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780441485931001Goud","hash":"c63fcff5965cdde4e805700e4d00b027","shortId":"SEC211-S","title":"Shipping AI at Full Velocity: Securing the Agentic Pipeline from IDE to Runtime (sponsored by Wiz)","abstract":"Autonomous AI agents are no longer just writing code; they are calling APIs, spinning up cloud resources, and executing commands across build pipelines. But with this level of autonomy, zero-day vulnerabilities can propagate across your stack faster than ever. Staying resilient requires shifting security directly into the agent’s execution loop.\n\nThrough live demos and an interview with Capita CISO, Luke Beeson, on their rapid AWS adoption, discover how to embed guardrails directly into agentic IDEs. Learn to catch vulnerabilities and overscoped tool permissions as code is written, and walk away with a battle-tested framework to ship agentic AI at full velocity on AWS. This presentation is brought to you by Wiz, an AWS Partner.","startDateTime":"2026-11-30T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-11-30T19:30:00.000Z","endDateTime":"2026-11-30T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025482060001Cjvl","lastModified":"2026-11-06T01:41:08Z","speakers":[{"id":"1732750973150001YAEx_17746331reinvent2026","displayName":"Jiong Liu","name":"Jiong Liu","firstName":"Jiong","lastName":"Liu","company":"Wiz"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Culture of Security"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":162},{"id":"1780441488498001GO4n","hash":"a04ada4f965eb739f6f26b52505e5899","shortId":"DVT211-S","title":"Shipping AI Code with Confidence Using Bluebox by Dynatrace and AWS Kiro (sponsored by Dynatrace)","abstract":"See how Western Governors University uses Bluebox by Dynatrace and AWS Kiro to deliver AI-generated code with greater confidence. By combining live production intelligence with AI-assisted development, teams can provide agents with real runtime context, detect issues quickly, and create evidence-backed GitHub Issues for rapid remediation. Learn how Bluebox supports the software lifecycle before, during, and after deployment, helping teams validate fixes, reduce risk, and accelerate software delivery. 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Submissions to the TrendAI™ Zero Day Initiative™ (ZDI), a vendor-agnostic bug bounty program, are up 4x. For Pega, which runs thousands of AI-powered enterprise applications on AWS, any unknown flaw in its software stack becomes exposure for its customers. In this session, Pega and TrendAI™ share how they shrink that exposure window together. Learn how an agentic engine built on 20 years of ZDI research finds and validates zero-days, and how virtual patching protects AWS environments before a fix ships. Leave with practical steps to reduce zero-day exposure in your environment. This presentation is brought to you by TrendAI™, an AWS Partner.","startDateTime":"2026-12-02T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-02T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025524651001CoUG","lastModified":"2026-11-06T01:41:08Z","speakers":[{"id":"1732027031101001j6Kq_17746331reinvent2026","displayName":"JJ Willette","name":"JJ Willette","firstName":"JJ","lastName":"Willette","company":"Pegasystems"},{"id":"1792006558992001BPDc_17746331reinvent2026","displayName":"Johnny Hand","name":"Johnny Hand","firstName":"Johnny","lastName":"Hand","company":"Savannah College of Art and Design"},{"id":"1728534160195001veqf_17746331reinvent2026","displayName":"Ramzi Souri","name":"Ramzi Souri","firstName":"Ramzi","lastName":"Souri","company":"Pegasystems"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"AWS Security Hub"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Hybrid Cloud & Multicloud"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":162},{"id":"1791492160227001UGOY","hash":"6e6ef3ecd558926755edf6a4118b9418","shortId":"SUP206","title":"Simile: Making interview-trained AI that predicts consumer decisions","abstract":"Simile built AI models trained on interviews that predict consumer decisions, essentially a “what-if” machine for consumer behavior. This session covers how Simile trains these interview-based models, the architecture behind predicting consumer decisions, and what it unlocks for companies trying to understand how customers will respond before they build.","startDateTime":"2026-12-02T17:20:00.000Z","startTime":"09:20","startTimeFormatted":"2026-12-02T17:20:00.000Z","endDateTime":"2026-12-02T17:40:00.000Z","endTime":"09:40","sessionTimeId":"1793317772258001GwwL","lastModified":"2026-10-31T01:06:27Z","speakers":[],"venueRoomName":"Level 1 | Forum Event Plaza | Startup Plaza Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Entrepreneur (Founder/Co-Founder)"},{"id":"Role","displayName":"Sales / Marketing"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":70},{"id":"1780441470369001GbKX","hash":"4759d92ad2e0ace7b7fc8b8bfff1203b","shortId":"DVT331","title":"Simple Governance: How Kiro Makes Enterprise Policies Human-Friendly","abstract":"Kiro agents execute code, invoke models, and interact with external services on behalf of developers. Enterprise administrators desire to constrain what agents can do without slowing developers down. We built a centralized governance system backed by Dogwood/Cedar that compiles admin-authored policies into governance documents enforced across every client (IDE, CLI, Web,Mobile) and server-side services. The system separates governance from configuration, uses deny-wins semantics with fail-closed enforcement, and scopes rules by hierarchies. 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We share what worked in production for both agents - the design choices, failure modes, and validation strategies that made them reliable - and distill lessons that generalize to any team applying LLMs to complex infrastructure.","startDateTime":"2026-12-03T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790360384089001ANbZ","lastModified":"2026-11-05T21:00:40Z","speakers":[{"id":"1725566555564001ScrH_17746331reinvent2026","displayName":"David Zhang","name":"David Zhang","firstName":"David","lastName":"Zhang","company":"Amazon"},{"id":"1729032687218001J4do_17746331reinvent2026","displayName":"Mohit Saxena","name":"Mohit Saxena","firstName":"Mohit","lastName":"Saxena","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Athena"},{"id":"Services","displayName":"Amazon EMR"},{"id":"Services","displayName":"AWS Glue"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1780442232675001cSLS","shortId":"ANT424-R","startDateTime":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442232675001cSLS","hash":"f598b0a84d3c8f9df0ba1359a8c2c60f","shortId":"ANT424-R","title":"Simplify Data Analytics operations with AI-powered Apache Spark agents on AWS","abstract":"Running analytics workloads at scale carries a hidden operational tax: teams commonly lose significant engineering time to debugging failures, leave performance and cost improvements on the table, and spend months on each version upgrade. 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In this chalk talk, we dive deep into simplifying trusted identity propagation so end-user identities — not shared service roles — reach the data plane, designing multi-dimensional tag-based access control taxonomies that scale automatically through inheritance, enforcing column-level and cell-level security across federated catalogs, and auditing every access event to individual users.","startDateTime":"2026-12-02T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-02T21:00:00.000Z","endDateTime":"2026-12-02T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790360395038001AjcN","lastModified":"2026-11-04T22:12:19Z","speakers":[{"id":"1759334177641001h3i5_17746331reinvent2026","displayName":"Aarthi Srinivasan","name":"Aarthi Srinivasan","firstName":"Aarthi","lastName":"Srinivasan","company":"Amazon Web Services"},{"id":"1730133552518001Hpzh_17746331reinvent2026","displayName":"Amir Bar-Or","name":"Amir Bar-Or","firstName":"Amir","lastName":"Bar-Or","company":"Amazon"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon SageMaker"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1780442232227001c5pU","shortId":"ANT411-R","startDateTime":"2026-12-03T21:30:00.000Z","endDateTime":"2026-12-03T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Thursday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Forum 114"}]},{"id":"1780442241818001cusZ","hash":"14e6f29f09eec9bdb998e40c89de4d56","shortId":"CMP359-R","title":"Simplifying how you use AWS: automating common patterns on your behalf","abstract":"Getting the most out of AWS often means manually setting up the same optimizations, integrations, and best-practice patterns across your applications. What if AWS could handle more of that for you - automatically and securely - so you benefit from AWS capabilities without the setup overhead? In this chalk talk, we explore emerging approaches for running AWS-authored logic in isolated, secure-by-default environments alongside your applications, implementing common patterns on your behalf and simplifying how you consume AWS services. We'll whiteboard how this model works, where it fits in your architecture, and how it changes the effort required to adopt AWS best practices.","startDateTime":"2026-12-02T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-02T00:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790963622500001Q2Qv","lastModified":"2026-11-02T18:57:10Z","speakers":[{"id":"1725408453946001uGSm_17746331reinvent2026","displayName":"Steve Rice","name":"Steve Rice","firstName":"Steve","lastName":"Rice","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Automation"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82},{"id":"1780442237362001coD7","hash":"b8494b3f077ac87bb41cec7280aa2c80","shortId":"COP330","title":"Simplify multicloud: manage and monitor VMs in one place","abstract":"As your compute spreads across multiple clouds and on-premises, every environment ends up with its own agents, tooling, and consoles. Patching, access, and monitoring happen a different way in each one, and no single view shows what is running or how it behaves. In this chalk talk, we whiteboard how to bring every instance under one operational model with AWS Systems Manager, no matter where it runs, and then get metrics and logs from all of them into Amazon CloudWatch. We work through the tradeoffs and patterns that hold at scale. Leave able to run and observe your whole fleet as one.","startDateTime":"2026-12-02T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-02T00:30:00.000Z","endDateTime":"2026-12-02T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025510792001C0TJ","lastModified":"2026-11-02T19:35:31Z","speakers":[{"id":"1756397068816001xqaq_17746331reinvent2026","displayName":"Jose Ponce Martinez","name":"Jose Ponce Martinez","firstName":"Jose","lastName":"Ponce Martinez","company":"Amazon Web Services"},{"id":"1725408445005001uBf4_17746331reinvent2026","displayName":"Nereida Woo","name":"Nereida Woo","firstName":"Nereida","lastName":"Woo","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"AWS Systems Manager"}],"topics":[{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Automation"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"System Administrator"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1790358236681001iqVe","hash":"0642bf0c342182610756b15b096e020b","shortId":"STG338-R1","title":"Simplify secure file sharing with Transfer Family no-code web apps","abstract":"Traditional file transfer solutions often require complex client software, custom scripts, or technical expertise, creating barriers for business users who need to share data. 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AI coding agents are accelerating this practice by recommending and installing software to complete tasks. Yet much of it enters the enterprise without comprehensive security review. We've normalized a practice that may someday seem as unthinkable as smoking on airplanes. In this session, we'll expose hidden risks in plugin and package ecosystems, show why traditional application controls miss this rapidly changing software layer, and explore what security teams must rethink as AI makes software adoption faster and increasingly autonomous. 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Legacy estates must modernize to become AI-ready, yet the fastest path to AI runs through shared inference services where your transformation intelligence leaks to competitors. Modernize to build advantage & hand it away. Concierto's Sovereign Transformations breaks the bind. \nThe speakers present a sovereign, unified platform that migrates, modernizes, manages, & prepares enterprises for agentic AI entirely within customer boundaries. Dual-engine architecture combines deterministic rules with private AI inference under oversight, all in your VPC. Intelligence compounds as a proprietary asset, sharpening transformations. Built on 100+ enterprises in 19 countries, Concierto delivers versatility at scale. 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Leave with a governed, repeatable process for shipping quality software with AI assistance. ","startDateTime":"2026-12-01T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-01T21:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790019856767001U8n1","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725893787687001hXa2_17746331reinvent2026","displayName":"Frank Spiess","name":"Frank Spiess","firstName":"Frank","lastName":"Spiess","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Bootcamp"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":200,"repeats":[{"id":"1784231861016001EpBB","shortId":"TNC201-R1","startDateTime":"2026-12-03T16:00:00.000Z","endDateTime":"2026-12-03T20:00:00.000Z","startTime":"08:00","endTime":"12:00","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1784231861016001EpBB","hash":"37840922f3766abf11210161f7eea71c","shortId":"TNC201-R1","title":"Spec-Driven AI Development with Kiro ","abstract":"The AI Development Lifecycle (AI-DLC) brings structure, traceability, and human oversight to every phase of high-velocity, Agentic-AI powered software delivery. 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The agent went live. Then someone pulled it back. 74% of organizations that have deployed an AI agent have rolled it back or shut it down, and the rate rises to 81% among those reporting fully mature guardrails. Getting agents into production got easier. Keeping them there without hurting customers did not. We'll walk through the failure patterns behind rollbacks: agents that fail silently, prompts treated as safety boundaries, and monitoring blind to non-deterministic failures. You'll leave with the patterns that prevent them: infrastructure-level guardrails, blast radius containment, and observability built for probabilistic systems.","startDateTime":"2026-12-03T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-03T00:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1791238881602001Gtxs","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1725416490177001p7Ck_17746331reinvent2026","displayName":"Nadia Reyhani","name":"Nadia Reyhani","firstName":"Nadia","lastName":"Reyhani","company":"BHP"},{"id":"1779381832635001MoF0_17746331reinvent2026","displayName":"Gunnar Grosch","name":"Gunnar Grosch","firstName":"Gunnar","lastName":"Grosch","company":"-"},{"id":"1726984594507001I7SW_17746331reinvent2026","displayName":"Kristine Armiyants","name":"Kristine Armiyants","firstName":"Kristine","lastName":"Armiyants","company":"Eleveight AI"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon CloudWatch"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Community-led"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":212},{"id":"1790358225135001iv1E","hash":"6f08e69117a0cf9b87ea03c1b8756795","shortId":"AIM3310-R1","title":"Stop the bleed: control and optimize agent costs on AgentCore","abstract":"Your agent cost $0.02 per session in testing. In production it's $0.14 and climbing. Token consumption grows unpredictably as agents retry, loop, and fan out across tools, and most teams have no visibility into where the money goes. 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This session explores how Route 53 DNS Firewall's evolving security capabilities help you resolve, inspect, and protect egress DNS query traffic to the internet across global, multi-account environments. See how deeper integration with other AWS security services, expanded DNS threat detection, wider visibility, and a growing partner ecosystem come together to strengthen your first line of defense. Whether you run a single VPC or a global network across AWS and hybrid networks, you'll leave with a clear picture of how DNS security for egress traffic is advancing and how to put it to work.","startDateTime":"2026-12-03T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-03T20:00:00.000Z","endDateTime":"2026-12-03T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025541543001CTwW","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1759334176014001htqD_17746331reinvent2026","displayName":"Adhish Bhobe","name":"Adhish Bhobe","firstName":"Adhish","lastName":"Bhobe","company":"Amazon Inc."},{"id":"1727478918123001ShUe_17746331reinvent2026","displayName":"Jesse Lepich","name":"Jesse Lepich","firstName":"Jesse","lastName":"Lepich","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Route 53"},{"id":"Services","displayName":"Amazon Virtual Private Cloud (Amazon VPC)"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Edge Computing"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780442250166001cxTo","hash":"8e2e0555eed2673d3d3b724fcc9c6f87","shortId":"SEC371-R","title":"Stop troubleshooting your AWS network from memory and stale diagrams","abstract":"Your network grew faster than your documentation. Routes were added in a sprint, VPC attachments stacked during migrations, and somewhere along the way, your team lost the full picture. When something breaks, you're troubleshooting from memory and stale diagrams. In this session, learn how to turn that around in hours instead of months. See how to point AI-assisted tooling at your live environment to map every resource, trace every traffic path, and surface misconfigurations before they become incidents. Then take it further: modernize what you find with current AWS network security capabilities. Walk out with a repeatable workflow you can run against your own network this week.","startDateTime":"2026-12-03T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025537809001CpYB","lastModified":"2026-11-03T22:06:21Z","speakers":[{"id":"1729747740953001WlC7_17746331reinvent2026","displayName":"Neil Yajnik","name":"Neil Yajnik","firstName":"Neil","lastName":"Yajnik","company":"Amazon Web Services"},{"id":"1736362246174001oltc_17746331reinvent2026","displayName":"Kartik Ganesh","name":"Kartik Ganesh","firstName":"Kartik","lastName":"Ganesh","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1790358238147001iFjU","shortId":"SEC371-R1","startDateTime":"2026-12-03T00:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","startTime":"16:30","endTime":"17:30","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1790358238147001iFjU","hash":"e1cccd718528c15eb049c30985e8f8af","shortId":"SEC371-R1","title":"Stop troubleshooting your AWS network from memory and stale diagrams","abstract":"Your network grew faster than your documentation. 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Your workload mix adds another dimension, because data types using object, file, or block storage drive the handling of tenancy differently. In this chalk talk, we walk through silo, bridge, and pool deployment models, examining how workload profile, tenant count, and business requirements drive the choice. Bring your architecture and we'll work through it.","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025513633001CABb","lastModified":"2026-11-01T09:17:42Z","speakers":[{"id":"1725408316313001upyO_17746331reinvent2026","displayName":"Dave Roberts","name":"Dave Roberts","firstName":"Dave","lastName":"Roberts","company":"Amazon Web Services"},{"id":"1725408370100001ud0Z_17746331reinvent2026","displayName":"David DeLuca","name":"David DeLuca","firstName":"David","lastName":"DeLuca","company":"Amazon"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Block Store (Amazon EBS)"},{"id":"Services","displayName":"Amazon FSx"},{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"SaaS"},{"id":"AreaofInterest","displayName":"Well-Architected Framework"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82},{"id":"1790358215908001ixeU","hash":"b322572c612cd05818462ccf9e152598","shortId":"CMP316-R1","title":"Storage performance in EC2 instances: What matters to your workload","abstract":"Peak SSD IOPS and throughput dominate benchmarks, but production workloads tell a different story. In this chalk talk, we explore why latency-consistent mixed read/write performance drives real application outcomes across database, analytics, and distributed file system workloads. We'll walk through how workload profiles map to different performance dimensions (throughput vs. IOPS vs. latency consistency), how real-world write mixes reveal true storage performance, and how emerging AI workloads are creating demand for an entirely new storage performance profile.","startDateTime":"2026-12-04T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-04T18:30:00.000Z","endDateTime":"2026-12-04T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790360396517001AXLA","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1787937090734001G3g2_17746331reinvent2026","displayName":"Tanmoy Sen","name":"Tanmoy Sen","firstName":"Tanmoy","lastName":"Sen","company":"Amazon Web Services"},{"id":"1788544832965001FTgO_17746331reinvent2026","displayName":"Kshitij Tambe","name":"Kshitij Tambe","firstName":"Kshitij","lastName":"Tambe","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Friday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"}],"topics":[{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"Customer Enablement"}],"industry":[],"role":[{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1780442238458001cBON","shortId":"CMP316-R","startDateTime":"2026-12-03T21:30:00.000Z","endDateTime":"2026-12-03T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Thursday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442238458001cBON","hash":"0a5ce3a30399cf652a7c48b8522e99fc","shortId":"CMP316-R","title":"Storage performance in EC2 instances: What matters to your workload","abstract":"Peak SSD IOPS and throughput dominate benchmarks, but production workloads tell a different story. 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You need to decide whether moving is worth the risk. A switch can change outputs, break prompts, raise costs, and create weeks of retesting. This session shows how to reduce that disruption on Amazon Bedrock. Test candidate models against your own use cases, compare quality, latency, and cost, and update prompts without rewriting them by hand. See how Advanced Prompt Optimization scores your current model against candidates on your own data, giving each candidate a fair prompt, so you can measure the impact before rollout. Leave with a practical plan for switching models without disrupting customers.","startDateTime":"2026-11-30T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-11-30T17:00:00.000Z","endDateTime":"2026-11-30T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025474083001Cpid","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1788357692969001zaWo_17746331reinvent2026","displayName":"Shash Sapre","name":"Shash Sapre","firstName":"Shash","lastName":"Sapre","company":"AWS"},{"id":"1756397085245001xWuA_17746331reinvent2026","displayName":"Claudio Mazzoni","name":"Claudio Mazzoni","firstName":"Claudio","lastName":"Mazzoni","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":98,"repeats":[{"id":"1790358220656001imY5","shortId":"AIM438-R1","startDateTime":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1790358220656001imY5","hash":"8b7ac16abfbe83da521bf686864f0690","shortId":"AIM438-R1","title":"Switch models in production without disrupting customers on Amazon Bedrock","abstract":" Your application is working in production, and then a newer model arrives with better benchmarks or lower cost. 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Since 2024, it has faced a fraud crisis targeting over $30M, as stolen-identity breaches and generative AI made ghost-student attempts cheaper and harder to catch. Machine learning (ML) on Amazon SageMaker now screens applicants centrally, driving a 64% decrease in attempted fraud year over year. Campus-level detection tools add a second layer, catching 2x more fraudulent applications than human review alone. This session covers the ML architecture, how it integrates across 116 campuses, and how reclaimed seats and aid dollars directly improved access for legitimate students.  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In 2026, deflection is dead. Even the customers you help are quietly leaving, because being processed isn't the same as being known. In this session, the VP, Amazon Connect Customer, and SVP, Client Operations Technology, U.S. Bank, show what's possible when serving customers is AI-first by design: your brand shows up before they ask, and every customer feels like your only customer. If you own the customer relationship, this is the one session you can't afford to miss.","startDateTime":"2026-12-02T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-02T00:30:00.000Z","endDateTime":"2026-12-02T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025510652001CNha","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1762454305101001B78F_17746331reinvent2026","displayName":"Srinivas Akella","name":"Srinivas Akella","firstName":"Srinivas","lastName":"Akella","company":"U.S. Bank"},{"id":"1787937048457001GOr2_17746331reinvent2026","displayName":"Cecilia Bolich","name":"Cecilia Bolich","firstName":"Cecilia","lastName":"Bolich","company":"AWS"},{"id":"1725895835316001FiBq_17746331reinvent2026","displayName":"Pasquale DeMaio","name":"Pasquale DeMaio","firstName":"Pasquale","lastName":"DeMaio","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":212},{"id":"1780442228313001cKty","hash":"b154f0b1c484d0498ea934a04f5bf3e3","shortId":"IND333","title":"Talk to your market data: Agentic AI meets exchange feeds","abstract":"In this builders’ session, connect an Amazon Bedrock agent layer to a high-performance data pipeline that turns 560M IEX exchange messages into an interactive playground. Analysts describe trading ideas in natural language (no SQL or Python required) while the agent queries Parquet data, generates strategy logic, runs backtests, and returns results. Dig into the C++ parsing, serverless orchestration with AWS Batch and AWS Fargate, Amazon S3, and guardrail patterns that make it production ready. Leave with architecture patterns, a cost model, and a blueprint for adding an agentic layer that takes anyone from market intuition to tested strategy in minutes.","startDateTime":"2026-12-03T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-03T21:30:00.000Z","endDateTime":"2026-12-03T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025545529001CCoI","lastModified":"2026-11-04T01:37:32Z","speakers":[{"id":"1738607358044001PjVr_17746331reinvent2026","displayName":"Samrat Lamichhane","name":"Samrat Lamichhane","firstName":"Samrat","lastName":"Lamichhane","company":"Amazon Web Services"},{"id":"1726328383250001slVJ_17746331reinvent2026","displayName":"Alket Memushaj","name":"Alket Memushaj","firstName":"Alket","lastName":"Memushaj","company":"AWS"},{"id":"1725408327579001uUBw_17746331reinvent2026","displayName":"Ravindra Kori","name":"Ravindra Kori","firstName":"Ravindra","lastName":"Kori","company":"Amazon"},{"id":"1738253219139001gYxU_17746331reinvent2026","displayName":"Sribalaji Thirunavukkarasu","name":"Sribalaji Thirunavukkarasu","firstName":"Sribalaji","lastName":"Thirunavukkarasu","company":"AWS"},{"id":"1736361153373001tZb3_17746331reinvent2026","displayName":"Santhosh Sampath","name":"Santhosh Sampath","firstName":"Santhosh","lastName":"Sampath","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Batch"},{"id":"Services","displayName":"AWS Fargate"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Business Intelligence"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780441476159001Gdq3","hash":"765b5f5cf1c6d71cfc582d3a5d71727d","shortId":"IND3332","title":"Tapestry, Grupo Boticario & Nestle Purina on agentic commerce","abstract":"AI agents are changing how consumers discover and buy, splitting into two investments: retailers building conversational shopping on their own properties, and consumer goods companies optimizing how their products surface when agents shop on a consumer's behalf. In this session, hear how Tapestry built the Kate Spade AI Gift Concierge that turns luxury gifting into a guided conversation; Grupo Boticario launched an agentic Virtual Assistant orchestrating product discovery and checkout for millions of users; and Nestle Purina implemented an Answer Engine Optimization strategy, using their native chatbot Allie to pressure-test how external AI engines surface proprietary brand data before releasing it into circulation.","startDateTime":"2026-12-02T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-02T18:30:00.000Z","endDateTime":"2026-12-02T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025517113001CeXw","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1790005264192001dGXg_17746331reinvent2026","displayName":"Isabel Miranda","name":"Isabel Miranda","firstName":"Isabel","lastName":"Miranda","company":"Grupo Boticário"},{"id":"1726847766999001up1L_17746331reinvent2026","displayName":"Todd Carter","name":"Todd Carter","firstName":"Todd","lastName":"Carter","company":"AWS"},{"id":"1730470942640001tgAU_17746331reinvent2026","displayName":"Ann Scharenberg","name":"Ann Scharenberg","firstName":"Ann","lastName":"Scharenberg","company":"Nestlé S.A."},{"id":"1728856228123001mDSy_17746331reinvent2026","displayName":"Mandeep Bhatia","name":"Mandeep Bhatia","firstName":"Mandeep","lastName":"Bhatia","company":"Tapestry, Inc"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Blue Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Retail & Consumer Goods"}],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780441483894001GgWj","hash":"2551ff84e0dd46818c30202f2f887ee7","shortId":"IND210-S","title":"Target to Molecule: Bayer & Capgemini accelerate Crop Protection R&D with BioNeMo (sponsored by NVIDIA)","abstract":"Bayer's CropKey strategy relies on target-based and profile-driven discovery to develop the next generation of crop protection solutions. A key challenge is enabling broad access to advanced AI models for protein structure prediction, target exploration, molecular docking, and molecular design, which are often complex and costly to operate.\n\nThis session highlights how Bayer and Capgemini built a scalable, cloud-native platform on AWS that provides researchers with easy access to state-of-the-art biomolecular AI capabilities by leveraging NVIDIA BioNeMo NIMs. By operationalizing foundation models in a secure and cost-efficient environment, the platform helps close critical knowledge gaps in early discovery and accelerates the application of AI across the crop protection R&D pipeline. This presentation is brought to you by NVIDIA, an AWS Partner.","startDateTime":"2026-12-02T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-02T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025524442001CzNK","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1792083146448001tGrr_17746331reinvent2026","displayName":"Lukas Kuckelkorn","name":"Lukas Kuckelkorn","firstName":"Lukas","lastName":"Kuckelkorn","company":"Capgemini"},{"id":"1790193325365001r5vY_17746331reinvent2026","displayName":"Dr. Janosch Achenbach","name":"Dr. Janosch Achenbach","firstName":"Dr. Janosch","lastName":"Achenbach","company":"Bayer AG - Crop Science"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1789513466291001LQK4","hash":"0cafc869de486f37b8c8f073172b0fab","shortId":"ACT003-R2","title":"Tattoos & Piercing Studio ","abstract":"Show your AWS pride! 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Choose from tattoos, piercings, or temporary tattoos to commemorate re:Invent 2026!","startDateTime":"2026-12-01T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-01T18:00:00.000Z","endDateTime":"2026-12-02T02:00:00.000Z","endTime":"18:00","sessionTimeId":"1793081571768001C6oW","lastModified":"2026-10-30T18:36:36Z","speakers":[],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Featured experience"},"services":[],"topics":[],"areaOfInterest":[],"industry":[],"role":[],"features":[],"seatCapacity":0,"repeats":[{"id":"1789513466291001LQK4","shortId":"ACT003-R2","startDateTime":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-03T02:00:00.000Z","startTime":"10:00","endTime":"18:00","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}},{"id":"1789513462041001LvBl","shortId":"ACT003-R","startDateTime":"2026-11-30T18:00:00.000Z","endDateTime":"2026-12-01T02:00:00.000Z","startTime":"10:00","endTime":"18:00","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}},{"id":"1789513466793001LV1e","shortId":"ACT003-R3","startDateTime":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-04T02:00:00.000Z","startTime":"10:00","endTime":"18:00","day":"Thursday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1789513462041001LvBl","hash":"290edfa4719ea80de4d286a6531a148f","shortId":"ACT003-R","title":"Tattoos & Piercing Studio ","abstract":"Show your AWS pride! Choose from tattoos, piercings, or temporary tattoos to commemorate re:Invent 2026!","startDateTime":"2026-11-30T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-11-30T18:00:00.000Z","endDateTime":"2026-12-01T02:00:00.000Z","endTime":"18:00","sessionTimeId":"1793081563036001HWA9","lastModified":"2026-10-30T18:36:36Z","speakers":[],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Featured experience"},"services":[],"topics":[],"areaOfInterest":[],"industry":[],"role":[],"features":[],"seatCapacity":0,"repeats":[{"id":"1789513466291001LQK4","shortId":"ACT003-R2","startDateTime":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-03T02:00:00.000Z","startTime":"10:00","endTime":"18:00","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}},{"id":"1789513464850001L0Gg","shortId":"ACT003-R1","startDateTime":"2026-12-01T18:00:00.000Z","endDateTime":"2026-12-02T02:00:00.000Z","startTime":"10:00","endTime":"18:00","day":"Tuesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}},{"id":"1789513466793001LV1e","shortId":"ACT003-R3","startDateTime":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-04T02:00:00.000Z","startTime":"10:00","endTime":"18:00","day":"Thursday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1789513466793001LV1e","hash":"837b7f121b29c84dc5c622815eedc116","shortId":"ACT003-R3","title":"Tattoos & Piercing Studio ","abstract":"Show your AWS pride! Choose from tattoos, piercings, or temporary tattoos to commemorate re:Invent 2026!","startDateTime":"2026-12-03T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-04T02:00:00.000Z","endTime":"18:00","sessionTimeId":"1793081588124001uc4l","lastModified":"2026-11-03T21:50:33Z","speakers":[],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Featured experience"},"services":[],"topics":[],"areaOfInterest":[],"industry":[],"role":[],"features":[],"seatCapacity":0,"repeats":[{"id":"1789513466291001LQK4","shortId":"ACT003-R2","startDateTime":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-03T02:00:00.000Z","startTime":"10:00","endTime":"18:00","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}},{"id":"1789513464850001L0Gg","shortId":"ACT003-R1","startDateTime":"2026-12-01T18:00:00.000Z","endDateTime":"2026-12-02T02:00:00.000Z","startTime":"10:00","endTime":"18:00","day":"Tuesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}},{"id":"1789513462041001LvBl","shortId":"ACT003-R","startDateTime":"2026-11-30T18:00:00.000Z","endDateTime":"2026-12-01T02:00:00.000Z","startTime":"10:00","endTime":"18:00","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442268426001c3gx","hash":"627623b19f63926195fede96266b38c6","shortId":"AIM298-S","title":"Teaching agents to pay with Stripe (sponsored by Stripe)","abstract":"AI agents can already search, reason, and call tools. What changes when they can spend money, too? This talk explores the shift from human checkout to machine-native commerce, where payments become part of an agent's reasoning loop. We will look at how agents can discover and purchase products today, then explore Stripe’s Machine Payments Protocol and a future where agents autonomously pay for APIs, compute, data, and other capabilities needed to complete a task. When software becomes the buyer, developers may need to rethink not only checkout, but also how software itself is discovered, priced, and consumed. This presentation is brought to you by Stripe, an AWS Partner.","startDateTime":"2026-12-03T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T18:50:00.000Z","endTime":"10:50","sessionTimeId":"1790033120736001qSaI","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1724098030828001CoL7_17746331reinvent2026","displayName":"Ben Smith","name":"Ben Smith","firstName":"Ben","lastName":"Smith","company":"Stripe"}],"venueRoomName":"Level 2 | Hall B | Expo | Builder Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"},{"id":"Role","displayName":"Tech Explorer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442236004001cAY2","hash":"7de7a258b7b869016706e323b35b5ed8","shortId":"BIZ404","title":"Teaching Quick to Remember and Connect with Memory and Knowledge Graphs","abstract":"Every conversation with an AI assistant starts from scratch. Your agent doesn't remember what worked yesterday, can't tell you who owns a project without searching again, and repeats the same mistakes because failures are never captured. In this chalk talk, we show how Amazon Quick breaks out of statelessness with two primitives: a continuous-learning memory layer where a background agent extracts reusable knowledge after each session and scores it with a probabilistic confidence model, and a personal knowledge graph that connects people, projects, decisions, and evidence across your tools so the agent has a map of your world before it reads a single document. We'll whiteboard the architecture and the tradeoffs that shaped it, then open it up — bring your hardest questions about memory staleness, confidence calibration, graph noise, or making agents that actually get better over time.","startDateTime":"2026-11-30T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-11-30T21:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025487919001CgDi","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1762197804971001fa1e_17746331reinvent2026","displayName":"Thomas Delteil","name":"Thomas Delteil","firstName":"Thomas","lastName":"Delteil","company":"Amazon Web Service"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70},{"id":"1780441494533001GKz1","hash":"1957ea11ae74be946ba71ae19cc7f175","shortId":"INV521-R","title":"Teaching Telemetry to Think: From Raw Signals to Root Cause","abstract":"An AI agent investigating an incident starts cold: no sense of normal, no topology, no causal history. It rebuilds context from raw documents every time. What if the telemetry understood itself first? We'll examine an intelligence layer for agentic observability, where streaming detectors and a live service graph distill billions of signals into incident observations, then fine-tuned reasoning models, built on open-weight LLMs, correlate them into ranked root causes. Whiteboard with us on the hard parts: what to teach a model versus retrieve at inference, how domain fine-tuning beats frontier scale, and where reasoning models still fail. ","startDateTime":"2026-12-02T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-02T21:00:00.000Z","endDateTime":"2026-12-02T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025521102001CPSN","lastModified":"2026-11-03T22:06:21Z","speakers":[{"id":"1787937077918001GjQq_17746331reinvent2026","displayName":"Shiva Kasiviswanathan","name":"Shiva Kasiviswanathan","firstName":"Shiva","lastName":"Kasiviswanathan","company":"AWS"},{"id":"1788539515541001cv2k_17746331reinvent2026","displayName":"Krishna Balasubramanian","name":"Krishna Balasubramanian","firstName":"Krishna","lastName":"Balasubramanian","company":"Amazon"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[{"id":"Services","displayName":"Amazon CloudWatch"}],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":75,"repeats":[{"id":"1780441496214001GQ2s","shortId":"INV521-R1","startDateTime":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T19:30:00.000Z","startTime":"10:30","endTime":"11:30","day":"Thursday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780441496214001GQ2s","hash":"6488276005abc7cc69c4a02510fced8c","shortId":"INV521-R1","title":"Teaching Telemetry to Think: From Raw Signals to Root Cause","abstract":"An AI agent investigating an incident starts cold: no sense of normal, no topology, no causal history. It rebuilds context from raw documents every time. What if the telemetry understood itself first? We'll examine an intelligence layer for agentic observability, where streaming detectors and a live service graph distill billions of signals into incident observations, then fine-tuned reasoning models, built on open-weight LLMs, correlate them into ranked root causes. Whiteboard with us on the hard parts: what to teach a model versus retrieve at inference, how domain fine-tuning beats frontier scale, and where reasoning models still fail. 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In this chalk talk, examine proven connectivity patterns using AWS PrivateLink, AWS Transit Gateway, and Amazon VPC Lattice for multi-tenant environments. Explore how to enforce strong tenant boundaries at the network layer, handle cross-account connectivity at scale, and reduce operational complexity as your business grows. Whether building a new multi-tenant platform or evolving an existing one, leave with architecture blueprints ready for production.","startDateTime":"2026-12-02T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-02T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025524180001CbTA","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408375621001uh1b_17746331reinvent2026","displayName":"Tom Adamski","name":"Tom Adamski","firstName":"Tom","lastName":"Adamski","company":"AWS"},{"id":"1725408405412001usa2_17746331reinvent2026","displayName":"Rizwan Mushtaq","name":"Rizwan Mushtaq","firstName":"Rizwan","lastName":"Mushtaq","company":"Amazon Web Services (AWS)"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon VPC Lattice"},{"id":"Services","displayName":"AWS Transit Gateway"},{"id":"Services","displayName":"AWS PrivateLink"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Networking & Content Delivery"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"},{"id":"AreaofInterest","displayName":"Resilience"},{"id":"AreaofInterest","displayName":"SaaS"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82},{"id":"1780442262536001cmiG","hash":"4c5be9f2e1da680210ed25d65e5ca77d","shortId":"COM341","title":"The AgentCore Governance Loop: Policy, Guardrails, Observability","abstract":"Building an agent takes an afternoon. Operating it safely across a team takes architecture. In this session learn how to build a multi-agent reference platform on Amazon Bedrock AgentCore and walk the full governance loop including cataloging agents for discovery, enforcing what they can do with Cedar policy at the gateway, filtering what they can say with Guardrails, and tracing behavior through observability. You will learn where the pieces integrate cleanly and where the seams break. You leave with a governance reference architecture you can adapt to any agentic workload, plus the lessons the documentation leaves out.","startDateTime":"2026-12-01T01:00:00.000Z","startTime":"17:00","startTimeFormatted":"2026-12-01T01:00:00.000Z","endDateTime":"2026-12-01T01:20:00.000Z","endTime":"17:20","sessionTimeId":"1791215471745001yWKI","lastModified":"2026-11-02T19:35:31Z","speakers":[{"id":"1717599914489001ibBf_17746331reinvent2026","displayName":"Harpreet Singh Siddhu","name":"Harpreet Singh Siddhu","firstName":"Harpreet","lastName":"Singh Siddhu","company":"New York Life Insurance"}],"venueRoomName":"Level 2 | Hall B | Expo | Builder Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Monday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"Amazon Verified Permissions"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442253517001cLD0","hash":"1833af7edfefd6a9a41039baf1585242","shortId":"AIM333-R","title":"The Agent Harness: Unifying Fragmented Tools for Mission AI Advisors","abstract":"Advisors across mission-driven organizations—financial advisors, benefits navigators, program coordinators—juggle fragmented tools, manual research, and delayed plan delivery while clients go underserved. AI agents change this equation. See how to collapse this fragmentation into configuration using the Amazon Bedrock AgentCore Harness. Learn to securely plug domain-specific skills and disparate Model Context Protocol (MCP) servers directly into the harness to generate tailored action plans in real time. Then, deploy the agent to isolated microVM sessions utilizing native memory strategies and Bedrock Guardrails. 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AI agents change this equation. See how to collapse this fragmentation into configuration using the Amazon Bedrock AgentCore Harness. Learn to securely plug domain-specific skills and disparate Model Context Protocol (MCP) servers directly into the harness to generate tailored action plans in real time. Then, deploy the agent to isolated microVM sessions utilizing native memory strategies and Bedrock Guardrails. Leave with sample configurations, deployment patterns, and blueprints for building production advisors that scale.","startDateTime":"2026-12-02T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-02T19:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790360373695001AnvX","lastModified":"2026-11-04T22:12:19Z","speakers":[{"id":"1725408305353001uJCF_17746331reinvent2026","displayName":"Mrudhula Balasubramanyan","name":"Mrudhula Balasubramanyan","firstName":"Mrudhula","lastName":"Balasubramanyan","company":"Amazon"},{"id":"1769052551555001q5fl_17746331reinvent2026","displayName":"Praveen Nerellapalli","name":"Praveen Nerellapalli","firstName":"Praveen","lastName":"Nerellapalli","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Tech for Impact"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":80,"repeats":[{"id":"1780442253517001cLD0","shortId":"AIM333-R","startDateTime":"2026-12-03T17:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","startTime":"09:00","endTime":"10:00","day":"Thursday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442237972001c8lb","hash":"42c5fe1dbe31db14736591ff7afaa2f7","shortId":"COM321-R","title":"The Agent Harness You Own on AWS for Regulated Industries","abstract":"In regulated industries the model is easy; the governable, auditable, defensible agent is hard. AgentCore ships primitives, but the governance harness you own on top is the real work. We build the rails it does not give you: a fail-closed, blocklist-first permission gate where deny beats a broad allow; a hash-chained audit verifiable off-cloud; and a RACI gate binding every action to a named human. Each maps onto a managed AWS primitive — Identity, Guardrails, Evaluations, Lambda MicroVMs for isolation — naming where the primitive ends and your code begins. You leave with the rails.","startDateTime":"2026-11-30T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025493063001Cqft","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1787937203431001GdV8_17746331reinvent2026","displayName":"Jacky Chan","name":"Jacky Chan","firstName":"Jacky","lastName":"Chan","company":"Beever AI Limited"}],"venueRoomName":"Level 1 | Alliance 314","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"},{"id":"Services","displayName":"AWS Lambda"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Community-led"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1790358219993001iZ2c","shortId":"COM321-R1","startDateTime":"2026-12-03T22:30:00.000Z","endDateTime":"2026-12-03T23:30:00.000Z","startTime":"14:30","endTime":"15:30","day":"Thursday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358219993001iZ2c","hash":"b81122b33590d9a3c0c9bebd65e556d1","shortId":"COM321-R1","title":"The Agent Harness You Own on AWS for Regulated Industries","abstract":"In regulated industries the model is easy; the governable, auditable, defensible agent is hard. AgentCore ships primitives, but the governance harness you own on top is the real work. We build the rails it does not give you: a fail-closed, blocklist-first permission gate where deny beats a broad allow; a hash-chained audit verifiable off-cloud; and a RACI gate binding every action to a named human. Each maps onto a managed AWS primitive — Identity, Guardrails, Evaluations, Lambda MicroVMs for isolation — naming where the primitive ends and your code begins. You leave with the rails.","startDateTime":"2026-12-03T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-03T22:30:00.000Z","endDateTime":"2026-12-03T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790360395216001AlAl","lastModified":"2026-11-04T22:12:19Z","speakers":[{"id":"1787937203431001GdV8_17746331reinvent2026","displayName":"Jacky Chan","name":"Jacky Chan","firstName":"Jacky","lastName":"Chan","company":"Beever AI Limited"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"},{"id":"Services","displayName":"AWS Lambda"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1780442237972001c8lb","shortId":"COM321-R","startDateTime":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Monday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Alliance 314"}]},{"id":"1790358216565001idZp","hash":"505f429f87d0c7d6c6ad0bcc76479016","shortId":"PEX307-R1","title":"The Agentic MSP: AI Agents & Amazon Bedrock AgentCore in Action","abstract":"MSPs managing hundreds of customer environments can no longer rely on manual, reactive workflows. 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Laptops required — everyone builds live.","startDateTime":"2026-12-03T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-03T20:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790890530055001zt8q","lastModified":"2026-11-04T22:12:22Z","speakers":[{"id":"1738079915661001mCqU_17746331reinvent2026","displayName":"Ayush Kanyal","name":"Ayush Kanyal","firstName":"Ayush","lastName":"Kanyal","company":"AWS"},{"id":"1727384291507001tnQd_17746331reinvent2026","displayName":"Bappaditya Dutta","name":"Bappaditya Dutta","firstName":"Bappaditya","lastName":"Dutta","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":112,"repeats":[{"id":"1780442283315001cZ7O","shortId":"PEX307-R","startDateTime":"2026-12-01T20:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","startTime":"12:30","endTime":"14:30","day":"Tuesday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Academy 412"}]},{"id":"1780442283315001cZ7O","hash":"a83af7ac9b72d0396e3d1e8da49d3ed9","shortId":"PEX307-R","title":"The Agentic MSP: AI Agents & Amazon Bedrock AgentCore in Action","abstract":"MSPs managing hundreds of customer environments can no longer rely on manual, reactive workflows. 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They're creating a compounding cycle: automate your own operations with Agentic AI, deliver measurably better outcomes to customers, then help those customers adopt AI themselves so the results multiply. This session shows how the AWS Managed Services Provider Program rewards that progression, from foundational automation through outcome-based delivery powered by AI agents. Leave with your own assessment and a concrete plan to reach the next level.","startDateTime":"2026-12-01T02:30:00.000Z","startTime":"18:30","startTimeFormatted":"2026-12-01T02:30:00.000Z","endDateTime":"2026-12-01T02:50:00.000Z","endTime":"18:50","sessionTimeId":"1790033123584001q7za","lastModified":"2026-11-03T22:06:21Z","speakers":[{"id":"1725896245184001g3uZ_17746331reinvent2026","displayName":"Ben Reed","name":"Ben Reed","firstName":"Ben","lastName":"Reed","company":"Amazon Web Services"}],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Monday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Q Business"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442244891001cgCd","hash":"e88f66bfbf7248de25d6492815363a2e","shortId":"IND406-R","title":"The agentic restaurant: AI agents that run your kitchen","abstract":"The restaurant industry is transforming as AI agents move from pilots to production. Leading QSR and casual dining brands are deploying a \"virtual general manager,\" multiple specialized agents orchestrated together to optimize drive-thru ordering, kitchen workflows, labor scheduling, and guest experience in real time. In this chalk talk, we whiteboard a multi-agent architecture using Amazon Bedrock AgentCore and Strands Agents SDK, with Amazon Nova Sonic powering voice ordering at sub-2-second latency. We design a supervisor agent coordinating specialists across drive-thru, kitchen prep, inventory, and labor scheduling. Explore how agents share context, resolve conflicts, validate decisions against synthetic personas before deployment, and maintain human-in-the-loop oversight. 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They are rewriting it. When agents write, review, test, and ship code at machine speed, the SDLC stops being a sequence of human handoffs and becomes a control problem. This session covers the failure modes that only appear at scale: review queues that no human can absorb, test suites that validate the wrong invariants, provenance gaps that make incidents unexplainable, and CI/CD pipelines built for tens of commits a day now absorbing thousands. It closes with the specific architectural decisions engineering leaders should be making now, drawn from our own experience running agents in production. This presentation is brought to you by Postman, an AWS Partner.","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1791239013231001ZrbP","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Red Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Management & Governance"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1790358249514001ibSN","hash":"e565309d6d3505b1d309e946fa3b31f5","shortId":"COM325-R1","title":"The agent orchestration spectrum: Agents, Step Functions, or Lambda?","abstract":"\"Orchestration mode matters more for end user experience than just model choice. In this live-coding session, I build the same GenAI workload three ways: Amazon Bedrock AgentCore, AWS Step Functions, and AWS Lambda durable functions - and show what each costs in latency, dollars, and debuggability on a production content platform. Leave with a reusable decision framework to match orchestration to your workload.\"","startDateTime":"2026-12-02T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-02T19:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790360401458001A9XB","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1787937203747001Gi1n_17746331reinvent2026","displayName":"Håkon Eriksen Drange","name":"Håkon Eriksen Drange","firstName":"Håkon Eriksen","lastName":"Drange","company":"Sopra Steria"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Lambda"},{"id":"Services","displayName":"AWS Step Functions"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Customer story"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":60,"repeats":[{"id":"1780442254794001c8Tp","shortId":"COM325-R","startDateTime":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Thursday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Forum 120 | Content Hub | Code Talk"}]},{"id":"1780442254794001c8Tp","hash":"0cbb3b952a1f61c36ec76c63f746ec77","shortId":"COM325-R","title":"The agent orchestration spectrum: Agents, Step Functions, or Lambda?","abstract":"\"Orchestration mode matters more for end user experience than just model choice. In this live-coding session, I build the same GenAI workload three ways: Amazon Bedrock AgentCore, AWS Step Functions, and AWS Lambda durable functions - and show what each costs in latency, dollars, and debuggability on a production content platform. Leave with a reusable decision framework to match orchestration to your workload.\"","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790033115076001qoKM","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1787937203747001Gi1n_17746331reinvent2026","displayName":"Håkon Eriksen Drange","name":"Håkon Eriksen Drange","firstName":"Håkon Eriksen","lastName":"Drange","company":"Sopra Steria"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Code Talk","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Lambda"},{"id":"Services","displayName":"AWS Step Functions"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Community-led"},{"id":"Features","displayName":"Discussion"}],"seatCapacity":120,"repeats":[{"id":"1790358249514001ibSN","shortId":"COM325-R1","startDateTime":"2026-12-02T19:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","startTime":"11:30","endTime":"12:30","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780441491479001Gkgk","hash":"ea48c9d06a9840b6aa89aa406931879c","shortId":"TNC103","title":"The Amplification Effect: How AI Sharpens the Builder ","abstract":"Replacement anxiety dominates the AI conversation, but builders who use AI as a daily collaborator are discovering the opposite: AI amplifies human capability. This breakout session presents a practical framework for using AI tooling as a skills accelerator. We'll show how builders who integrate AI into daily workflows develop stronger critical thinking, faster adaptability, and deeper domain reasoning. Drawing from real-world examples, you'll learn how the act of collaborating with AI and refining its direction builds the exact human capabilities organizations need most. Walk away with a progression model from proficiency to mastery and techniques to start sharpening your skills immediately.","startDateTime":"2026-12-01T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-01T21:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025504452001CZvy","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725998622452001tvzO_17746331reinvent2026","displayName":"Umesh Sampat","name":"Umesh Sampat","firstName":"Umesh","lastName":"Sampat","company":"AWS"},{"id":"1758044758375001qjjY_17746331reinvent2026","displayName":"ADAM B","name":"ADAM B","firstName":"ADAM","lastName":"B","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Workforce Development"},{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780441477810001GE8k","hash":"d8516baf77d5e4b3ec130c8909c8c48f","shortId":"AMZ301","title":"The Art of the Impossible: How Amazon Builds on AWS","abstract":"Discover how two Amazon teams tackled seemingly impossible problems with agentic AI running on AWS. Prime Video enabled content discovery at a scale where personalized curation was never feasible, building an AI discovery assistant powered by agentic search on Amazon Bedrock and AgentCore, vector-powered retrieval, and frontier and custom LLMs on SageMaker. Launched to millions of customers, it replaced endless scrolling with conversation starters like \"hidden gems from the '80s\" and natural voice exploration. Amazon Pharmacy now autonomously resolves most of its hundreds of thousands of monthly customer contacts while staying HIPAA compliant. Specialized agents on Amazon Bedrock Agents and Amazon Connect handle billing, fulfillment, and pharmacist workflows, hand off to humans, increasing satisfaction. Learn to apply their approaches to your own seemingly impossible problems.","startDateTime":"2026-12-02T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-02T19:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025518150001CxO1","lastModified":"2026-11-06T01:28:59Z","speakers":[{"id":"1725408396249001u3mr_17746331reinvent2026","displayName":"Tulip Gupta","name":"Tulip Gupta","firstName":"Tulip","lastName":"Gupta","company":"AWS"},{"id":"1790612012788001emp7_17746331reinvent2026","displayName":"Sujatha Guthikonda","name":"Sujatha Guthikonda","firstName":"Sujatha","lastName":"Guthikonda","company":"Amazon"},{"id":"1792427519573001alrd_17746331reinvent2026","displayName":"Naresh Narayanan","name":"Naresh Narayanan","firstName":"Naresh","lastName":"Narayanan","company":"Amazon"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Orange Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Amazon Builds on AWS"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1790358229654001iYL9","hash":"c83e8537ac4a366f3d06d97c5971c76d","shortId":"DVT336-R1","title":"The AWS CLI in an Agentic World: Less Tokens, More Done","abstract":"AI coding agents are increasingly orchestrating cloud infrastructure, but they can be expensive and slow when every action requires chaining low-level API calls. The AWS CLI offers a different path: composable, structured commands that collapse multi-step workflows into single invocations. In this chalk talk, we'll explore how Agent Toolkit gives AI agents first-class access to AWS through the CLI, why purpose-built commands are inherently cheaper for agents to execute, and what \"developer experience for machines\" means for CLI design going forward.","startDateTime":"2026-12-01T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790360390998001AE0j","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1788452177483001ghnT_17746331reinvent2026","displayName":"Alex Shovlin","name":"Alex Shovlin","firstName":"Alex","lastName":"Shovlin","company":"AWS"},{"id":"1725408457306001unsT_17746331reinvent2026","displayName":"Liam Greenamyre","name":"Liam Greenamyre","firstName":"Liam","lastName":"Greenamyre","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Command Line Interface (AWS CLI)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":84,"repeats":[{"id":"1780442255831001cjkw","shortId":"DVT336-R","startDateTime":"2026-12-03T17:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","startTime":"09:00","endTime":"10:00","day":"Thursday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Forum 120 | Content Hub | Code Talk"}]},{"id":"1780442255831001cjkw","hash":"7eb81eb13cda67a82680b76f562c7498","shortId":"DVT336-R","title":"The AWS CLI in an Agentic World: Less Tokens, More Done","abstract":"AI coding agents are increasingly orchestrating cloud infrastructure, but they can be expensive and slow when every action requires chaining low-level API calls. 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In this chalk talk, we'll explore how Agent Toolkit gives AI agents first-class access to AWS through the CLI, why purpose-built commands are inherently cheaper for agents to execute, and what \"developer experience for machines\" means for CLI design going forward.","startDateTime":"2026-12-03T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-03T17:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790033114857001qNxE","lastModified":"2026-11-03T01:01:59Z","speakers":[{"id":"1788452177483001ghnT_17746331reinvent2026","displayName":"Alex Shovlin","name":"Alex Shovlin","firstName":"Alex","lastName":"Shovlin","company":"AWS"},{"id":"1725408457306001unsT_17746331reinvent2026","displayName":"Liam Greenamyre","name":"Liam Greenamyre","firstName":"Liam","lastName":"Greenamyre","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Code Talk","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Command Line Interface (AWS CLI)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":120,"repeats":[{"id":"1790358229654001iYL9","shortId":"DVT336-R1","startDateTime":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Tuesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1787777354945001GcqU","hash":"858a7de7bae6b6edca684428ba81e447","shortId":"CMP251","title":"The AWS Console in the age of agentic compute","abstract":"From model testing to capacity planning, compute can be complex and costly to get wrong. As development moves into an agentic era, see how AWS Console innovations provide a trusted tool to support your workflow, verify instances, save costs, govern with confidence. Move faster. Stay in control.","startDateTime":"2026-12-02T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-02T19:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025519164001CTsW","lastModified":"2026-11-03T18:56:32Z","speakers":[{"id":"1788776760280001AzNH_17746331reinvent2026","displayName":"Olga Madejska","name":"Olga Madejska","firstName":"Olga","lastName":"Madejska","company":"AWS"},{"id":"1728431497067001HFtt_17746331reinvent2026","displayName":"James Gray","name":"James Gray","firstName":"James","lastName":"Gray","company":"Amazon"}],"venueRoomName":"Level 1 | Forum 103","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"}],"topics":[{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1780441486161001GfTR","hash":"0b0845ba3b38f82e1a4071f1e69ddd83","shortId":"NET336-S","title":"The AWS network I would build today: Identity over topology (sponsored by Tailscale)","abstract":"Modern AWS environments can grow from a handful of VPCs into complex regional and global routing topologies. This session explores a different model: keeping VPC networking local and predictable while using identity-aware connectivity between users, workloads, and networks. See how Tailscale connects AWS environments and resources, including those that cannot run an agent, and explore an experimental integration with AWS Gateway Load Balancer and GENEVE. Attendees will learn the tradeoffs, where native AWS networking remains the right choice, and how identity-aware networking can reduce connectivity complexity without sacrificing control. This presentation is brought to you by Tailscale, an AWS Partner.","startDateTime":"2026-12-02T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-02T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025524516001Caep","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1727830335008001sgw9_17746331reinvent2026","displayName":"Lee Briggs","name":"Lee Briggs","firstName":"Lee","lastName":"Briggs","company":"Tailscale"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Virtual Private Cloud (Amazon VPC)"},{"id":"Services","displayName":"AWS Transit Gateway"},{"id":"Services","displayName":"Elastic Load Balancing (ELB)"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Networking & Content Delivery"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"},{"id":"AreaofInterest","displayName":"Well-Architected Framework"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780442266378001cwYw","hash":"1bf5f508433f3cf37c0ac7a24a16868c","shortId":"DVT215-S","title":"The Best Engineer in the Room Doesn’t Write Code (sponsored by Anaconda)","abstract":"AI generates code faster than teams can review and ship it. The bottleneck has moved, and so has the work of the highest leverage engineers.\n\nEngineers build coding factories: repeatable systems that combine user intent, persistent context, agent execution, automated checks, and human judgment. Drawing on AWS’s AI-Driven Development Life Cycle, we’ll see how Kilo by Anaconda meets developers where they work and how Amazon Bedrock brings model choice into the factory, tracing one build failure through verification and escalation.\n\nAttendees leave with a framework for agent workflows that deliver, and a clearer view of where engineering judgment matters. This presentation is brought to you by Anaconda, an AWS Partner.","startDateTime":"2026-12-01T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-01T21:00:00.000Z","endDateTime":"2026-12-01T21:20:00.000Z","endTime":"13:20","sessionTimeId":"1790033121709001qKnE","lastModified":"2026-11-02T19:35:31Z","speakers":[{"id":"1787243487326001xoJm_17746331reinvent2026","displayName":"Emilie Schario","name":"Emilie Schario","firstName":"Emilie","lastName":"Schario","company":"Anaconda (FKA Continuum Analytics)"}],"venueRoomName":"Level 2 | Hall B | Expo | Industry Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Developer Tools"},{"id":"Topic","displayName":"Open Source"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780441482285001GtRd","hash":"85e72d030be7779ab28c9da22c35b87c","shortId":"AIM242-S","title":"The Capability Overhang: Ask More of the Frontier (sponsored by Anthropic)","abstract":"Frontier models can do more than anyone asks of them. At Anthropic, the hardest part of testing a new model is finding work hard enough to make it fail. Outside, most teams hand Claude the tasks they gave last year's model. This session closes that gap: what the newest Claude models do on AWS when you delegate the job, not the task. Multi-day autonomous work, large migrations end to end, agents that verify their results and keep going. Evals, live demos, and how our researchers keep raising the bar. This presentation is brought to you by Anthropic, an AWS Partner.","startDateTime":"2026-12-02T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-02T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790034534206001pJ72","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1788394272385001sj5k_17746331reinvent2026","displayName":"Matt Bleifer","name":"Matt Bleifer","firstName":"Matt","lastName":"Bleifer","company":"Anthropic"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Purple Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780441497847001GawL","hash":"17e39c7efc1c7596db5d5b1a200fdf89","shortId":"CMP408","title":"The cloud holodeck: Stream NVIDIA Omniverse, scale headless sim on AWS","abstract":"Interactive simulation needs RTX-class GPUs engineers lack; rendering millions of frames needs a fleet nobody wants to babysit. Amazon DCV streams a full NVIDIA Omniverse and Isaac Sim workstation from EC2 G instances to any browser, while AWS Batch runs the same scenes headless across GPU fleets for scale. The AWS Visual Asset Management System is the control plane: launching jobs, tracking runs, and versioning outputs. Walk through the architecture behind a cloud viewport and a thousand-run batch job.","startDateTime":"2026-11-30T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-11-30T21:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025488421001C5QJ","lastModified":"2026-11-03T17:52:40Z","speakers":[{"id":"1725408469049001ukV3_17746331reinvent2026","displayName":"Dan Cotting","name":"Dan Cotting","firstName":"Dan","lastName":"Cotting","company":"AWS"},{"id":"1725408469918001uQMN_17746331reinvent2026","displayName":"Kurt Scheuringer","name":"Kurt Scheuringer","firstName":"Kurt","lastName":"Scheuringer","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"Amazon Elastic Container Service (Amazon ECS)"},{"id":"Services","displayName":"AWS Batch"}],"topics":[{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Open Source"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Robotics"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780442272137001cSih","hash":"1346d9a19c27b4c5e220bffdc88e6868","shortId":"IND106-S","title":"The co-build playbook: Turn AWS partner programs into deployable industrial solutions (sponsored by Belden)","abstract":"Manufacturers know their machines generate valuable data — yet most digital initiatives stall before they scale, trapped between legacy OT protocols and cloud analytics that were never designed for the plant floor. This session shows how a connected partner ecosystem closes that gap. Learn how Belden acquires, conditions, and secures data at the physical layer, and how Edge2Web Factory Insights turns that data into high-powered analytics and AI-enriched insights based on AWS IoT SiteWise. Discover the reference architecture behind a joint deployment, from edge protocol connectivity to AI-driven insight. See how co-development with AWS compressed the path from whiteboard to production. And explore how to apply this pattern to your own operations. This presentation is brought to you by Belden, an AWS Partner.","startDateTime":"2026-12-03T01:00:00.000Z","startTime":"17:00","startTimeFormatted":"2026-12-03T01:00:00.000Z","endDateTime":"2026-12-03T01:20:00.000Z","endTime":"17:20","sessionTimeId":"1790033119144001qIug","lastModified":"2026-11-06T01:41:08Z","speakers":[{"id":"1725979495902001np92_17746331reinvent2026","displayName":"Fred Holahan","name":"Fred Holahan","firstName":"Fred","lastName":"Holahan","company":"Edge2Web, Inc."},{"id":"1764599980704001DgQQ_17746331reinvent2026","displayName":"David Ricks","name":"David Ricks","firstName":"David","lastName":"Ricks","company":"Belden, Inc"}],"venueRoomName":"Level 2 | Hall B | Expo | Global Impact Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS IoT SiteWise"},{"id":"Services","displayName":"AWS Marketplace"}],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Internet of Things"},{"id":"AreaofInterest","displayName":"Customer Enablement"}],"industry":[],"role":[{"id":"Role","displayName":"Advisor / Consultant"},{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Sales / Marketing"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780441495290001GyRq","hash":"c49326fde8ff781652ea8c51d5fd764b","shortId":"INV534","title":"The Cogs of a Well-oiled Software Factory","abstract":"The \"Software Factory\" is a new buzzword for a fully autonomous agent driven software development process. Many organizations are trying to set up such a factory, but this is easier said than done. In this talk, from my experience setting up such factories for ourselves and other businesses, I will explain some of the elements of a software factory (issue triage, spec generation, implementation, review, and testing), and some of the pain points that we have experienced at each step. I will also cover how to evaluate the effectiveness of each of these steps and how to build a self-improvement pipeline so the factory gets better and better with feedback from its human supervisors.","startDateTime":"2026-12-01T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-01T21:00:00.000Z","endDateTime":"2026-12-01T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1791396437719001Sml1","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1789141335268001Ha0U_17746331reinvent2026","displayName":"Graham Neubig","name":"Graham Neubig","firstName":"Graham","lastName":"Neubig","company":"CMU / OpenHands"}],"venueRoomName":"Level 1 | Forum 103","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Open Source"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1780441485560001Gs0e","hash":"e3c93d7a34cf1987f5c35f86751eb250","shortId":"AIM383-S","title":"The Control Plane for Your Agent Workforce: Governance, Cost and ROI at Scale (sponsored by Cognition)","abstract":"Cognition has rolled out Devin, the autonomous software engineer, at the world's largest Fortune 500 companies. Along the way, we learned that scaling an agent workforce hinges on three questions every enterprise asks: How do we onboard agents? How do we know they're delivering value? How do we ensure they only do what they're supposed to? Drawing from real deployments, this session introduces the practical patterns we developed to answer them — governance, cost controls, ROI measurement, and federated configurations. You'll leave with a playbook for turning agents from a promising pilot into a trusted, scaled workforce. This presentation is brought to you by Cognition, an AWS Partner.","startDateTime":"2026-12-01T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025497405001CtCl","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1786571048596001Koqv","hash":"bf04eb3bbc1ce713e6476e6530e997ba","shortId":"ARC329","title":"The coordination decision: when to orchestrate and when to let go","abstract":"Distributed workflows need coordination, and most teams pick one approach everywhere: a central orchestrator, or independent services reacting to events. Both fail at scale: orchestration bottlenecks every team's releases, and choreography lets flows stall silently because no component owns the outcome. This session teaches a per-flow method: does any component need to own the flow end-to-end, including completion, failure compensation, and ordering? Using a logistics platform running both patterns on AWS Step Functions and Amazon EventBridge, see the real costs of each, and where orchestration and events hand off.\n","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025513772001CRvC","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408307764001uZRW_17746331reinvent2026","displayName":"John Dougherty","name":"John Dougherty","firstName":"John","lastName":"Dougherty","company":"Amazon"},{"id":"1728244089809001x4zu_17746331reinvent2026","displayName":"Aishwarya Subramaniam","name":"Aishwarya Subramaniam","firstName":"Aishwarya","lastName":"Subramaniam","company":"AWS"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Red Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon EventBridge"},{"id":"Services","displayName":"AWS Lambda"},{"id":"Services","displayName":"AWS Step Functions"}],"topics":[{"id":"Topic","displayName":"Architecture"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Resilience"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Automation"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780441496947001GfU9","hash":"2b69680ea54b8367af6793c8607e431b","shortId":"ARC305-R","title":"The cost of over-engineering: When your architecture fights you","abstract":"Not every workload needs microservices, event-driven patterns, or serverless. Over-decomposed architectures create distributed monoliths, event spaghetti, and operational nightmares that cost more and move slower than the monolith they replaced. In this chalk talk, examine real-world anti-patterns: services split too small, queues added without purpose, and abstractions that add latency without value. We’ll whiteboard decision frameworks for right-sizing architecture, including the signals that tell you when decomposition earns its complexity and when it doesn’t. Bring your diagrams and discuss where simplification improves speed, reduces cost, and strengthens reliability. Leave able to right-size your own architecture with confidence.","startDateTime":"2026-12-02T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-02T17:00:00.000Z","endDateTime":"2026-12-02T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025513977001CR1j","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1736239895737001V4YN_17746331reinvent2026","displayName":"Aman Raj","name":"Aman Raj","firstName":"Aman","lastName":"Raj","company":"Amazon Web Services"},{"id":"1767700509191001IyuP_17746331reinvent2026","displayName":"Nitin Kumar","name":"Nitin Kumar","firstName":"Nitin","lastName":"Kumar","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Academy 414","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Event-Driven Architecture"},{"id":"AreaofInterest","displayName":"Well-Architected Framework"},{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1790358245632001ibn3","shortId":"ARC305-R1","startDateTime":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T19:30:00.000Z","startTime":"10:30","endTime":"11:30","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1790358245632001ibn3","hash":"d396fb3d0d5b4452f7ef33ffeb863781","shortId":"ARC305-R1","title":"The cost of over-engineering: When your architecture fights you","abstract":"Not every workload needs microservices, event-driven patterns, or serverless. Over-decomposed architectures create distributed monoliths, event spaghetti, and operational nightmares that cost more and move slower than the monolith they replaced. In this chalk talk, examine real-world anti-patterns: services split too small, queues added without purpose, and abstractions that add latency without value. We’ll whiteboard decision frameworks for right-sizing architecture, including the signals that tell you when decomposition earns its complexity and when it doesn’t. Bring your diagrams and discuss where simplification improves speed, reduces cost, and strengthens reliability. Leave able to right-size your own architecture with confidence.","startDateTime":"2026-12-03T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790360367750001AskT","lastModified":"2026-11-04T22:12:19Z","speakers":[{"id":"1767700509191001IyuP_17746331reinvent2026","displayName":"Nitin Kumar","name":"Nitin Kumar","firstName":"Nitin","lastName":"Kumar","company":"Amazon Web Services"},{"id":"1736239895737001V4YN_17746331reinvent2026","displayName":"Aman Raj","name":"Aman Raj","firstName":"Aman","lastName":"Raj","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Event-Driven Architecture"},{"id":"AreaofInterest","displayName":"Well-Architected Framework"},{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780441496947001GfU9","shortId":"ARC305-R","startDateTime":"2026-12-02T17:00:00.000Z","endDateTime":"2026-12-02T18:00:00.000Z","startTime":"09:00","endTime":"10:00","day":"Wednesday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Academy 414"}]},{"id":"1780442264978001cUvj","hash":"634e804a09e0cebcb8610f5b470dbd94","shortId":"PEX213","title":"The Economics of an AWS Partner: Revenue, Incentives & AWS Marketplace","abstract":"A forward-looking session reframing Partner economics for the year ahead. Revenue measurement is no longer just tracking, it's the backbone connecting all AWS Partner Programs. Walk away with a clear action plan to position for next year’s benefits.","startDateTime":"2026-12-01T02:00:00.000Z","startTime":"18:00","startTimeFormatted":"2026-12-01T02:00:00.000Z","endDateTime":"2026-12-01T02:20:00.000Z","endTime":"18:20","sessionTimeId":"1790033123530001qid1","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1748451159543001u6xR_17746331reinvent2026","displayName":"Jahnai Bilovsky","name":"Jahnai Bilovsky","firstName":"Jahnai","lastName":"Bilovsky","company":"AWS"},{"id":"1748557373911001YruI_17746331reinvent2026","displayName":"Snigdha Sahi","name":"Snigdha Sahi","firstName":"Snigdha","lastName":"Sahi","company":"AWS"}],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Monday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"AWS Marketplace"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Sales / Marketing"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1791492158893001ULYR","hash":"1019667accf02505fabec38f8347ac85","shortId":"SUP317","title":"The economics of inference: Where startups are finding efficiency","abstract":"AI companies are finding it harder to earn margins even as inference prices have dropped twentyfold. This session covers where startups are finding efficiency and margin in an environment of falling inference prices, and what RadixArk has learned about the economics of running AI workloads profitably as the underlying cost curve keeps shifting.","startDateTime":"2026-11-30T20:20:00.000Z","startTime":"12:20","startTimeFormatted":"2026-11-30T20:20:00.000Z","endDateTime":"2026-11-30T20:40:00.000Z","endTime":"12:40","sessionTimeId":"1793648701823001ArSg","lastModified":"2026-11-02T21:43:28Z","speakers":[],"venueRoomName":"Level 1 | Forum Event Plaza | Startup Plaza Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":70},{"id":"1780441494589001GmFd","hash":"94095b4d949256a6305c23c8586d27e1","shortId":"INV522","title":"The Evaluator Is the Algorithm: Evolving SOTA for $15","abstract":"We discovered a phase transition in LLM-guided code evolution: when the evaluation function provides smooth gradient signal, SOTA emerges automatically regardless of model choice; when it doesn't, no compute compensates. This \"evaluator-dominance principle\" emerged from stress-testing evolutionary search across 403 problems in 27 domains on Amazon Bedrock — 20× the scale of Google's original AlphaEvolve — achieving 96% SOTA-matching at $15/problem median cost. 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And they're falling further behind. Once the first agents land and the numbers look good, most teams turn to cost control while the frontier keeps moving. This session covers how to do both with Claude on AWS: the security and compliance controls enterprises require, execution inside your own boundary, observability and cost governance, and the safeguards that let you trust agents with more. Then how to keep expanding what agents do as new models arrive, so efficiency doesn't become the ceiling. 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","startDateTime":"2026-12-01T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-01T00:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025499589001CWKN","lastModified":"2026-11-03T18:00:58Z","speakers":[{"id":"1730770921113001WTVT_17746331reinvent2026","displayName":"Morris Singer","name":"Morris Singer","firstName":"Morris","lastName":"Singer","company":"Amazon Web Services"},{"id":"1725408453145001uGhw_17746331reinvent2026","displayName":"Abhishek Maligehalli Shivalingaiah","name":"Abhishek Maligehalli Shivalingaiah","firstName":"Abhishek","lastName":"Maligehalli Shivalingaiah","company":"AWS"},{"id":"1738231062995001tog5_17746331reinvent2026","displayName":"Stanley Chukwuemeke","name":"Stanley Chukwuemeke","firstName":"Stanley","lastName":"Chukwuemeke","company":"AWS"},{"id":"1725408334616001uFrz_17746331reinvent2026","displayName":"Abhinav Sarin","name":"Abhinav Sarin","firstName":"Abhinav","lastName":"Sarin","company":"Amazon Web Services"},{"id":"1729709337164001e0wd_17746331reinvent2026","displayName":"Martin Ristov","name":"Martin Ristov","firstName":"Martin","lastName":"Ristov","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Quick"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Partner Enablement"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780441472856001GfKR","hash":"dd5b7ab1d560d0f3d7a363e83feaca3a","shortId":"SEC398","title":"The latest innovations in multicloud agent security","abstract":"AI agents are showing up everywhere your teams work, and security teams also want to keep pace. 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The more the platform handles, the more your team can focus on securing what is unique to your application — your data, your logic, your users. In this session, we explore the security capabilities built into the AWS platform that work before you write a single IAM policy. From threat intelligence that blocks malicious actors at the network edge, to Nitro's zero operator access architecture that eliminates an entire class of insider risk, to automated reasoning that mathematically proves your policies behave as intended — these are protections you inherit just by running on AWS. We also cover PrivateLink for eliminating public internet exposure, default encryption, and S3 Block Public Access. 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Most teams pay more to keep a few clusters idle, each sized for peak load, running at 85–95% unused capacity and provisioned ticket by ticket.\n\nThat model is breaking. AI agents create databases faster than platform teams can provision, secure or retire them. One engineering group grew from 13 databases to 392 in four months. At 1,000, managing one cluster at a time stops working.\n\nThis session shifts focus to the estate with 3 architectural changes on AWS:\n- Separate storage from compute, eliminating upfront capacity.\n- Run isolated virtual clusters on shared hosts without creating sprawl.\n- Use agentic operations to observe the estate and recommend actions your team approves.\n\nSee live demos, a reference architecture and cost model behind the numbers. Bring your hardest questions about running stateful workloads at agent speed. 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Your mission: detect, investigate, and respond. Using Amazon GuardDuty and AWS Security Hub alongside CloudWatch and AgentCore Observability, you'll triage findings, correlate security events with application traces, map entity relationships, isolate compromised resources, and build automated remediations. You'll leave with practical skills to secure AgentCore systems you can trust.","startDateTime":"2026-12-03T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-12-03T23:30:00.000Z","endDateTime":"2026-12-04T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790033117268001quOR","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1770347873606001pE98_17746331reinvent2026","displayName":"Nima Fotouhi","name":"Nima Fotouhi","firstName":"Nima","lastName":"Fotouhi","company":"Amazon"},{"id":"1737659155751001FtSQ_17746331reinvent2026","displayName":"Mike Saintcross","name":"Mike Saintcross","firstName":"Mike","lastName":"Saintcross","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Detective"},{"id":"Services","displayName":"Amazon GuardDuty"},{"id":"Services","displayName":"AWS Security Hub"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140},{"id":"1780442258053001cweq","hash":"2579ecdc1bc5a9bddfdf5eec6f030096","shortId":"SEC427","title":"Threat modeling the agentic SDLC: from user story to deployment","abstract":"\"Threat modeling the agentic SDLC with ThreatForest\t\nAgentic development is speeding up, and traditional threat modeling assumes a person makes the decisions. In this code talk, you follow one process end to end. You threat model a user story with the autonomous threat modeling built into AWS Continuum, carry it through the developer workflow, and take it to deployment. You see how ThreatForest, an agentic tool built on the Strands framework, generates attack trees and MITRE ATT&CK mappings on its own, and how to build a mitigations catalog your organization can reuse. We also show where traditional threat modeling can be used for agentic systems.\"","startDateTime":"2026-11-30T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-11-30T20:00:00.000Z","endDateTime":"2026-11-30T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025483956001CjEi","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408481879001u9Wm_17746331reinvent2026","displayName":"Brad Dispensa","name":"Brad Dispensa","firstName":"Brad","lastName":"Dispensa","company":"Amazon"},{"id":"1745916437366001Ygmy_17746331reinvent2026","displayName":"ionut ionescu","name":"ionut ionescu","firstName":"ionut","lastName":"ionescu","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"AWS Security Agent"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":84},{"id":"1780441484569001GdsM","hash":"14af3a3fde48b72497802f376936d98e","shortId":"SEC380-S","title":"Threat research: how attackers use AI to persist and how to evict them (sponsored by TrendAI™)","abstract":"Patching a vulnerability doesn't remove an attacker who is already inside your environment, and AI workloads introduce new persistence surfaces: agents with standing permissions, compromised MCP servers, and poisoned vector stores that survive redeployment. In this session, a CISO and a threat research leader show how attackers establish persistence in modern environments and what to do about it. From long-lived IAM access keys to over-permissioned Amazon Bedrock agents, learn which persistence techniques to hunt first and how to evict attackers for good. This presentation is brought to you by TrendAI™, an AWS Partner.","startDateTime":"2026-12-03T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790034531451001pwBK","lastModified":"2026-11-06T01:41:08Z","speakers":[{"id":"1731071864389001Xayf_17746331reinvent2026","displayName":"Ashish Rajan","name":"Ashish Rajan","firstName":"Ashish","lastName":"Rajan","company":"AI Security Lab"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Red Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS CloudTrail"},{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Threat Intelligence"},{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780442249221001cyUn","hash":"2eae772f703376f824b85059a1e1ff19","shortId":"SEC334","title":"Threat technique catalog for AWS: practical controls for real TTPs","abstract":"Threat actors are evolving faster than ever, leveraging AI-generated exploits and automated attack tooling to move at machine speed. AWS CIRT sees these techniques firsthand across customer incidents of all sizes. The Threat Technique Catalog for AWS (TTC), extending the MITRE ATT&CK framework, documents these recurring TTPs with detection and mitigation guidance specific to AWS. This session covers how to turn observed attacker patterns into an advantage: build actionable detections and mitigations into your security operations before the next incident hits.","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025549535001Cb9J","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1728414522459001UGEP_17746331reinvent2026","displayName":"Cydney Stude","name":"Cydney Stude","firstName":"Cydney","lastName":"Stude","company":"Amazon Web Services"},{"id":"1725465328571001CBC2_17746331reinvent2026","displayName":"Shannon Brazil","name":"Shannon Brazil","firstName":"Shannon","lastName":"Brazil","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon GuardDuty"},{"id":"Services","displayName":"AWS Security Hub"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Automation"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":96},{"id":"1780441463748001GHbC","hash":"0ae19e88fec508b1545fd97cde7e5ed3","shortId":"AIM319","title":"Token Counts to Business Impact: Measurable AI Architectures at Scale","abstract":"As AI workloads scale, the question shifts from \"what does this cost?\" to \"is this delivering real value?\" The answer depends on your workload, architecture, and adoption maturity. We present progressive architecture patterns using agentic software development — from vibe-coding to cloud agents to self-hosted inference to custom models — with a live demo across the AWS AI Stack, including Bedrock, AgentCore, SageMaker HyperPod, and Trainium, showing how the right metrics evolve with your architecture. You'll leave with cost-per-outcome comparisons, spend controls that work at scale, and an ROI measurement framework with architecture patterns to implement across any AI workload. 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Raw web pages, HTML boilerplate, and 10 blue links padded with irrelevant text quietly multiply token spend and degrade answer quality. This lightning talk walks through how Exa engineered retrieval to hand LLMs exactly the text they need: neural search that returns precise passages instead of whole pages, highlight extraction tuned to the query, and context-budgeting techniques that cut input tokens dramatically without hurting accuracy. Using real production traces, we'll show how token-efficient retrieval changes the economics of agents at scale on AWS, and give you a practical checklist you can apply to any RAG or agent pipeline this week. This presentation is brought to you by Exa, an AWS Partner.","startDateTime":"2026-12-03T20:30:00.000Z","startTime":"12:30","startTimeFormatted":"2026-12-03T20:30:00.000Z","endDateTime":"2026-12-03T20:50:00.000Z","endTime":"12:50","sessionTimeId":"1790033120949001qAAj","lastModified":"2026-11-06T01:40:51Z","speakers":[{"id":"1792516848646001ixIa_17746331reinvent2026","displayName":"Louis Walsh","name":"Louis Walsh","firstName":"Louis","lastName":"Walsh","company":"Exa"}],"venueRoomName":"Level 2 | Hall B | Expo | Builder Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442268670001cEr4","hash":"de68e307cda82198613c23ace4437a9f","shortId":"AIM284-S","title":"Tokenomics for AI on AWS: Local inference plus Amazon Bedrock (sponsored by Spectro Cloud)","abstract":"Power users in AI teams building on AWS face the challenge of frontier models delivering the best answers and token costs scaling with adoption. 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This presentation is brought to you by Spectro Cloud, an AWS Partner.","startDateTime":"2026-12-03T22:00:00.000Z","startTime":"14:00","startTimeFormatted":"2026-12-03T22:00:00.000Z","endDateTime":"2026-12-03T22:20:00.000Z","endTime":"14:20","sessionTimeId":"1791214212680001IM5G","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venueRoomName":"Level 2 | Hall B | Expo | Global Impact Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"Responsible AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442249770001cmHP","hash":"a2ad7f899cc95eae625eb75e4906a4ab","shortId":"SEC435","title":"Tokenomics of attacks: how AWS defends you from AI-powered threats","abstract":"AI isn't just transforming how we build, it's transforming how attackers exploit. In this session, AWS threat researchers share the intelligence they observe in real time: the prompts adversaries feed into AI systems, the tokenomics that make AI-powered attacks devastatingly scalable, and the shrinking window between vulnerability disclosure and weaponized exploitation. We'll share first-hand threat intel from MadPot, AWS's globally distributed honeypot network, and show how AWS protects AI-based workloads. You'll learn how AWS Active Threat Defense capabilities proactively block malicious infrastructure before it reaches your workloads, so you can innovate with AI confidently while staying ahead of emerging threats.","startDateTime":"2026-12-03T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1791227404746001T53P","lastModified":"2026-11-05T18:45:52Z","speakers":[{"id":"1744931035837001Cuv7_17746331reinvent2026","displayName":"Paul Bodmer","name":"Paul Bodmer","firstName":"Paul","lastName":"Bodmer","company":"AWS"},{"id":"1791563102130001gyEi_17746331reinvent2026","displayName":"Alexandra Lee","name":"Alexandra Lee","firstName":"Alexandra","lastName":"Lee","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Virtual Private Cloud (Amazon VPC)"},{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"},{"id":"Services","displayName":"AWS Key Management Service (AWS KMS)"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Data Protection"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":96},{"id":"1780442266738001cfDW","hash":"34b06b2d1ce866448271f0283cd2be39","shortId":"AIM267-S","title":"Tokenomics: Understanding What Your AI Actually Costs (sponsored by Mission Cloud, a CDW Company)","abstract":"Your AI pilot ran smoothly and stayed on budget. Then you launched, and the invoice was much higher than the estimate. This session breaks down why that happens and what to do about it. We'll walk through where AI spend actually goes once a system leaves the demo stage, why agentic AI costs differently than a simple chatbot, and how choosing the right model for each task, not just the flagship model for everything, can cut spend dramatically without hurting quality. You'll leave with a practical framework for tracking cost, avoiding common budgeting traps, and having a more confident conversation with finance the next time AI spend comes up. This presentation is brought to you by Mission Cloud, a CDW Company, an AWS Partner.","startDateTime":"2026-12-01T20:30:00.000Z","startTime":"12:30","startTimeFormatted":"2026-12-01T20:30:00.000Z","endDateTime":"2026-12-01T20:50:00.000Z","endTime":"12:50","sessionTimeId":"1790033123856001qgiM","lastModified":"2026-11-03T20:06:08Z","speakers":[{"id":"1789501575428001JRY1_17746331reinvent2026","displayName":"ryan ries","name":"ryan ries","firstName":"ryan","lastName":"ries","company":"Mission Cloud, a CDW Company"}],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1790358247842001iBCW","hash":"50f4b5bd2c3eac7997c3653d72a81543","shortId":"DVT302-R1","title":"Too many tools: Building software in the age of agents","abstract":"AI now touches every stage of software delivery: coding assistants, autonomous agents, modernization tools, security scanners, operations, and the list grows every week. Which do you actually use, and when? This open discussion helps you make sense of the SDLC tooling landscape. Bring your scenario and we'll talk through it together: when to hand work to an autonomous agent versus a deterministic tool, how to chain AI across design, code, review, and operations without creating new bottlenecks, and how to avoid adopting every shiny agent at once. Leave with a plan for building software with AI, not just a tool list.","startDateTime":"2026-12-01T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790360366934001AQ4i","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1724706634102001trdo_17746331reinvent2026","displayName":"David Yanacek","name":"David Yanacek","firstName":"David","lastName":"Yanacek","company":"AWS"},{"id":"1757468143856001RRU3_17746331reinvent2026","displayName":"Priyatam Mudivarti","name":"Priyatam Mudivarti","firstName":"Priyatam","lastName":"Mudivarti","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Well-Architected Framework"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780442240521001ck0R","shortId":"DVT302-R","startDateTime":"2026-11-30T18:30:00.000Z","endDateTime":"2026-11-30T19:30:00.000Z","startTime":"10:30","endTime":"11:30","day":"Monday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Alliance 305"}]},{"id":"1780442240521001ck0R","hash":"adf50d102bb7a6ff6c2119ff77569713","shortId":"DVT302-R","title":"Too many tools: Building software in the age of agents","abstract":"AI now touches every stage of software delivery: coding assistants, autonomous agents, modernization tools, security scanners, operations, and the list grows every week. Which do you actually use, and when? This open discussion helps you make sense of the SDLC tooling landscape. Bring your scenario and we'll talk through it together: when to hand work to an autonomous agent versus a deterministic tool, how to chain AI across design, code, review, and operations without creating new bottlenecks, and how to avoid adopting every shiny agent at once. Leave with a plan for building software with AI, not just a tool list.","startDateTime":"2026-11-30T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-11-30T18:30:00.000Z","endDateTime":"2026-11-30T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025478779001CGK1","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1724706634102001trdo_17746331reinvent2026","displayName":"David Yanacek","name":"David Yanacek","firstName":"David","lastName":"Yanacek","company":"AWS"},{"id":"1757468143856001RRU3_17746331reinvent2026","displayName":"Priyatam Mudivarti","name":"Priyatam Mudivarti","firstName":"Priyatam","lastName":"Mudivarti","company":"Amazon Web Services"}],"venueRoomName":"Level 1 | Alliance 305","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Well-Architected Framework"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88,"repeats":[{"id":"1790358247842001iBCW","shortId":"DVT302-R1","startDateTime":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Tuesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1791930011210001r9lr","hash":"05d26cb6402aa546193e19234b036401","shortId":"IND3353","title":"TP ICAP: Driving revenue through faster decisions with agentic AI ","abstract":"Trading opportunities slip away when teams can't synthesize fragmented data fast enough to act. In this session, global broker TP ICAP will share how it built First Mate on Amazon Bedrock AgentCore, an AI sales-trading tool that uses generative AI to identify and act on opportunities in global markets more effectively. Discover how First Mate ingests real-time data, applies domain reasoning, and delivers actionable recommendations to brokers in seconds. We’ll discuss the architectural decisions and outcomes behind the journey from prototype to production. You’ll learn how to bring agentic AI to time-sensitive operations where speed-to-insight can drive revenue.","startDateTime":"2026-12-01T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-01T19:30:00.000Z","endDateTime":"2026-12-01T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1792103581117001pURD","lastModified":"2026-11-06T01:28:45Z","speakers":[{"id":"1788273976212001GNdU_17746331reinvent2026","displayName":"Shahen Bokhari","name":"Shahen Bokhari","firstName":"Shahen","lastName":"Bokhari","company":"TP ICAP"},{"id":"1740566839880001izii_17746331reinvent2026","displayName":"Animesh Kundu","name":"Animesh Kundu","firstName":"Animesh","lastName":"Kundu","company":"AWS"},{"id":"1790358405213001M4qw_17746331reinvent2026","displayName":"Erica Martin","name":"Erica Martin","firstName":"Erica","lastName":"Martin","company":"TP ICAP"},{"id":"1790337163757001W4MQ_17746331reinvent2026","displayName":"Scott Harding","name":"Scott Harding","firstName":"Scott","lastName":"Harding","company":"TPICAP"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":278},{"id":"1780442232783001claK","hash":"470926b366274f873cd3dd95a987a36f","shortId":"ANT425","title":"Trace Lineage From AI Endpoints and Models to Data","abstract":"Every number in a dashboard and every answer from an AI agent rests on a chain of data you may not be able to see. Can you prove where it came from? In this chalk talk, we whiteboard one lineage graph connecting endpoints, models, jobs, and tables across your pipelines on Amazon EMR, AWS Glue, and Amazon Athena, anchored on the AWS Glue Data Catalog. We trace a production number back to the tables that fed it, work out what breaks before a schema change ships, and have an AI agent show the provenance of its own answer.","startDateTime":"2026-12-03T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-03T00:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025526405001CD92","lastModified":"2026-11-06T00:48:04Z","speakers":[{"id":"1725566547238001Si8V_17746331reinvent2026","displayName":"Nishchai JM","name":"Nishchai JM","firstName":"Nishchai","lastName":"JM","company":"Amazon Web Services"},{"id":"1760678180585001Ry9v_17746331reinvent2026","displayName":"Karthik Devaraj","name":"Karthik Devaraj","firstName":"Karthik","lastName":"Devaraj","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"AWS Glue"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":82},{"id":"1780442265568001cgp5","hash":"f61253f827047907235e18fdbdcb668b","shortId":"SEC202","title":"Track cross-domain attack vectors with AWS Security Hub extended","abstract":"In this 20-minute lightning talk, see how AWS Security Hub Extended correlates signals across endpoint, identity, email, data, browser, and AI domains into a single attack narrative. We show how cross-domain correlation surfaces attack vectors invisible to any single tool, and how customers deploy preconfigured detection patterns for immediate value.","startDateTime":"2026-12-03T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-03T20:00:00.000Z","endDateTime":"2026-12-03T20:20:00.000Z","endTime":"12:20","sessionTimeId":"1790033111455001qkcD","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725335515604001HGCj_17746331reinvent2026","displayName":"Frank Schwarzenau","name":"Frank Schwarzenau","firstName":"Frank","lastName":"Schwarzenau","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"AWS Security Hub"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1780442235187001cagl","hash":"5ca62ff2e1ffa666c0964b7ed8545415","shortId":"AIM443","title":"Train and deploy large-scale models with governance at every step","abstract":"Training a large-scale model is the easy part. Getting it into production with the right data flowing in, governance enforced, and multiple deployment paths ready is where most teams stall. This chalk talk works through how to build one training pipeline on Amazon SageMaker HyperPod, bring in enterprise data that amplifies model value while respecting data protection policies, and deploy the same model into Amazon Bedrock for inference or Amazon Bedrock AgentCore for agent orchestration. Governance follows the model at every step. No bolted-on compliance. You leave with an architecture you can build against immediately.","startDateTime":"2026-11-30T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-11-30T22:30:00.000Z","endDateTime":"2026-11-30T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025490250001CCWR","lastModified":"2026-11-06T00:20:03Z","speakers":[{"id":"1718580241769001sULs_17746331reinvent2026","displayName":"Paulo Pontes Vieira de Aragao","name":"Paulo Pontes Vieira de Aragao","firstName":"Paulo","lastName":"Pontes Vieira de Aragao","company":"Amazon Web Services"},{"id":"1736356922400001Wjuo_17746331reinvent2026","displayName":"Amin Dashti","name":"Amin Dashti","firstName":"Amin","lastName":"Dashti","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Trainium"},{"id":"Services","displayName":"Amazon SageMaker AI"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1791492159636001U7N8","hash":"c5e798ab54c303c00ce154126110510a","shortId":"SUP307","title":"Training Agility’s Digit robot for manufacturing with Amazon SageMaker","abstract":"Agility Robotics' humanoid robot Digit is being trained for manufacturing work using Amazon SageMaker. This session walks through the training pipeline that gets Digit from simulation to real-world manufacturing tasks, covering the data, simulation, and SageMaker-based training workflow that makes it possible. You'll leave with a view into what it actually takes to get a humanoid robot production-ready for manufacturing environments.","startDateTime":"2026-11-30T18:20:00.000Z","startTime":"10:20","startTimeFormatted":"2026-11-30T18:20:00.000Z","endDateTime":"2026-11-30T18:40:00.000Z","endTime":"10:40","sessionTimeId":"1793648883160001XZSR","lastModified":"2026-11-02T21:57:53Z","speakers":[],"venueRoomName":"Level 1 | Forum Event Plaza | Startup Plaza Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Entrepreneur (Founder/Co-Founder)"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":70},{"id":"1791492157840001Uycj","hash":"9311d1fec4139c54eb95f5e4074391cf","shortId":"SUP201","title":"Training and simulation turn robot capabilities into useful products","abstract":"Making humanoid and autonomous robots useful takes more than a capable chassis. In this panel moderated by Deap Ubhi, who leads startup Solutions Architects globally at AWS, leaders from NEURA Robotics, 1X, and Highlanders dig into the intelligence behind their robots: how they train and simulate behaviors, which AI models they rely on, and how data pipelines support development. They also explore the application layer that turns raw capability into products. Founders and robotics builders will hear how these teams connect training and simulation with real-world deployment.","startDateTime":"2026-12-02T22:00:00.000Z","startTime":"14:00","startTimeFormatted":"2026-12-02T22:00:00.000Z","endDateTime":"2026-12-02T23:00:00.000Z","endTime":"15:00","sessionTimeId":"1793317278107001tjQa","lastModified":"2026-11-06T01:28:59Z","speakers":[{"id":"1781771970956001nHTt_17746331reinvent2026","displayName":"Natsuki Kataoka","name":"Natsuki Kataoka","firstName":"Natsuki","lastName":"Kataoka","company":"Highlanders, Inc."}],"venueRoomName":"Level 1 | Forum Event Plaza | Startup Plaza Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Entrepreneur (Founder/Co-Founder)"},{"id":"Role","displayName":"Press / Media Analyst"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":70},{"id":"1780442246483001cxJm","hash":"bb010bf29d8e7370b656c5bc0240f9c7","shortId":"IND368","title":"Transform Episodic Content into High-Converting Microdramas","abstract":"Turn your episodic content into binge-worthy microdramas. In this session, you'll learn how to build both single- and multi-episode formats, multiply one source into a library of platform-ready content assets, and monetize a story in multiple ways including advertising, subscription, and social distribution. We'll walk through scroll-stopping production techniques optimized for vertical, mobile-first viewing, and the pacing and cliffhanger patterns that drive completion and re-watch rates. Leave with a repeatable workflow for producing microdrama series at scale and a clear playbook for turning your existing catalog into high-converting, platform-ready short-form videos.","startDateTime":"2026-12-02T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-02T00:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025509760001CkZX","lastModified":"2026-11-03T20:25:53Z","speakers":[{"id":"1739571058632001s0ZO_17746331reinvent2026","displayName":"Chris Swan","name":"Chris Swan","firstName":"Chris","lastName":"Swan","company":"AWS"},{"id":"1725408402931001uJpL_17746331reinvent2026","displayName":"Saurav Bhattacharya","name":"Saurav Bhattacharya","firstName":"Saurav","lastName":"Bhattacharya","company":"AWS"}],"venueRoomName":"Level 1 | Academy 417","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Elemental MediaConvert"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Media & Entertainment"}],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Advisor / Consultant"},{"id":"Role","displayName":"Business Executive"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1780441478972001GmYz","hash":"6625eb5ca0749bac5eaf6aae62cb9476","shortId":"MAM219","title":"Transforming business and SAP with Amazon Innovations","abstract":"The SAP landscape is changing, with customers not just asking “How can you help us migrate and run our SAP applications in the cloud?”, but instead: “How can you help us transform our business, simplify our business processes, and leverage AI to serve our customers and employees?”. Join this session to learn how our marquee customers are combining SAP modernization with Amazon's extensive portfolio to revolutionize customer experiences. You'll hear how customers are redefining customer experience and transforming  business processes including finance procurement, manufacturing, operation etc by leveraging Pan-Amazon services, and AWS AI services alongside SAP.","startDateTime":"2026-12-02T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-02T18:30:00.000Z","endDateTime":"2026-12-02T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790034531664001pdzV","lastModified":"2026-11-06T01:28:59Z","speakers":[{"id":"1725408453468001u83V_17746331reinvent2026","displayName":"Soulat Khan","name":"Soulat Khan","firstName":"Soulat","lastName":"Khan","company":"AWS"},{"id":"1764010093178001FFPr_17746331reinvent2026","displayName":"Paul Chen","name":"Paul Chen","firstName":"Paul","lastName":"Chen","company":"Warner Bros. 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So capable agents wait while the work piles up. There's a way out of that bind. Join this panel for a candid discussion of how you build trust across the agent lifecycle: scope the agent to its job, know which agents are acting, bound what it does and says, and see what it did after. Then learn how provable bounds let you set how far an agent goes, and prove it stays there. Come ready to question your own systems. Leave able to answer.","startDateTime":"2026-12-01T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025516953001CfN4","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1729814449352001G9VE_17746331reinvent2026","displayName":"Erin Kraemer","name":"Erin Kraemer","firstName":"Erin","lastName":"Kraemer","company":"AWS"},{"id":"1756849564317001mc5t_17746331reinvent2026","displayName":"Cami Novelli-Killeen","name":"Cami Novelli-Killeen","firstName":"Cami","lastName":"Novelli-Killeen","company":"AWS"},{"id":"1725408400491001ut2K_17746331reinvent2026","displayName":"Brooke Jamieson","name":"Brooke Jamieson","firstName":"Brooke","lastName":"Jamieson","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon CloudWatch"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":212},{"id":"1780441464697001GwWk","hash":"eb404130a6b4a24d542cb01129150b3c","shortId":"AIM370","title":"Trusting agents in production: end-to-end security with AgentCore","abstract":"AI agents call APIs, access databases, and act on behalf of users, making security non-negotiable before you go to production. But they introduce new attack surfaces: persistent sessions, autonomous tool execution, and permissions that compound across steps. This session shows how to secure agents end to end with Amazon Bedrock AgentCore: microVM isolation so sessions can't leak into each other, identity propagation so every action traces back to a user, Gateway policies that control which tools agents can reach, and Cedar authorization for least-privilege at every call. Leave with a blueprint for production.","startDateTime":"2026-11-30T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-11-30T22:30:00.000Z","endDateTime":"2026-11-30T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025490497001CjOI","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1725384658873001g87r_17746331reinvent2026","displayName":"Guilherme Greco","name":"Guilherme Greco","firstName":"Guilherme","lastName":"Greco","company":"AWS"},{"id":"1727416734972001o0kW_17746331reinvent2026","displayName":"Fei Yuan","name":"Fei Yuan","firstName":"Fei","lastName":"Yuan","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780442267595001c5dc","hash":"bbad8c4f412302677a5ffabf8a90dac8","shortId":"COP345-S","title":"Trusting an Autonomous Agent With Your Production Environment (sponsored by NeuBird)","abstract":"The biggest barrier to autonomous operations isn't capability, it's trust.Handing an incident to an autonomous agent raises a fair question. How do you know it is not guessing from raw log lines. This session shows how NeuBird AI reasons over your live environment and shows the causal chain behind every root cause, not a coincidence in the metrics. We’ll examine the guardrails that make production deployment safe: VPC-native execution, zero external data retention, complete auditable reasoning paths, and human-gated action approvals. Learn how to safely transition from human-driven triage to trusted, autonomous production operations on your own terms. 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Last year's CEO keynote announced roughly 28 launches in two hours. Careful notes still leave you with names, not links. So build an agent that does the finding. Participants in this workshop will get a Bee Pioneer wearable: it transcribes while you listen, and a double-press bookmarks anything worth a deep dive. Your agent (Strands Agents on Amazon Bedrock) reads the transcript and researches each announcement through the AWS MCP Server, producing one markdown file linking every launch to its docs. Then make it yours: benchmark cheaper models, post to Slack, or run it in the cloud.","startDateTime":"2026-11-30T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-11-30T16:30:00.000Z","endDateTime":"2026-11-30T18:30:00.000Z","endTime":"10:30","sessionTimeId":"1791223354021001ijI4","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1761681712465002fbW4_17746331reinvent2026","displayName":"Kourtney Meiss","name":"Kourtney Meiss","firstName":"Kourtney","lastName":"Meiss","company":"Amazon"},{"id":"1761699553829001JLPt_17746331reinvent2026","displayName":"Emerson Sklar","name":"Emerson Sklar","firstName":"Emerson","lastName":"Sklar","company":"Amazon Alexa"}],"venueRoomName":"Level 1 | Forum 101","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Amazon Builds on AWS"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140,"repeats":[{"id":"1780442280564001c38d","shortId":"AMZ202-R1","startDateTime":"2026-11-30T20:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","startTime":"12:30","endTime":"14:30","day":"Monday","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"room":"Level 1 | Forum 101"}]},{"id":"1780442280564001c38d","hash":"6f7b44b7f470bcbb6d80b2274d4213d4","shortId":"AMZ202-R1","title":"Turn a Bee wearable into your re:Invent notetaking companion","abstract":"re:Invent keynotes don't slow down for note-taking. 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You leave with a repeatable, observe-score-remediate pattern for keeping AI agents operating within your policies.\"","startDateTime":"2026-11-30T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025493775001CIJO","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726617179506001ieIx_17746331reinvent2026","displayName":"Vijay Shekhar Rao","name":"Vijay Shekhar Rao","firstName":"Vijay Shekhar","lastName":"Rao","company":"AWS"},{"id":"1731480354240001wUU0_17746331reinvent2026","displayName":"Michael Tschannen","name":"Michael Tschannen","firstName":"Michael","lastName":"Tschannen","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Config"},{"id":"Services","displayName":"AWS Organizations"},{"id":"Services","displayName":"AWS Service Catalog"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"IT Administrator"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780441480490001G6MC","hash":"3bbb0a99727a992fe59acd962adf5485","shortId":"PEX312","title":"Turn AWS Marketplace listings into self-service buyer journeys","abstract":"Make it easier for customers to find, subscribe and deploy your software in by providing a self-service path from evaluation to purchase. 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Not the obvious ones, but surprises no runbook could anticipate. We share the strangest, most counterintuitive findings from years of troubleshooting under pressure: failure modes nobody planned for, fixes that made things worse, and patterns that only emerge after enough failures. This isn't a best-practices talk - it's a field guide to building resilience from the unexpected. You'll leave with a sharper eye for hidden risks in your infrastructure - and fresh leads on things you didn't know were there.","startDateTime":"2026-12-03T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790034534350001pmaT","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408385411001uYOq_17746331reinvent2026","displayName":"Giorgio Bonfiglio","name":"Giorgio Bonfiglio","firstName":"Giorgio","lastName":"Bonfiglio","company":"AWS"},{"id":"1758084665283001sx7W_17746331reinvent2026","displayName":"Donald Quindardo","name":"Donald Quindardo","firstName":"Donald","lastName":"Quindardo","company":"Amazon Web Services"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Purple Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Resilience"},{"id":"AreaofInterest","displayName":"Well-Architected Framework"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780442245351001cSyN","hash":"8fe41e34657b0cf8afa8676a2a218fc6","shortId":"IND3307","title":" Unified Commerce Intelligence for Amazon Brands on Amazon Quick","abstract":"Brands selling on Amazon generate rich signals across commerce and advertising — order trends, catalog performance, competitive pricing, campaign metrics, and customer engagement. The opportunity lies in connecting these signals into a unified view that drives faster, smarter decisions. In this chalk talk, we design an architecture that composes two Model Context Protocol (MCP) servers — the SP-API MCP Server for Selling Partner operations and the Amazon Ads MCP Server for campaigns and reporting — behind Amazon Quick as a conversational layer. We'll whiteboard how brands can build cross-domain queries, like correlating ad spend with order velocity or surfacing catalog insights that inform campaign strategy. Leave with production-grade patterns for building agentic commerce workflows tailored to your brand's data","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790025512822001CJQm","lastModified":"2026-10-31T08:53:05Z","speakers":[{"id":"1740513676546001q5C4_17746331reinvent2026","displayName":"Manikanta Gona Grafsgaard","name":"Manikanta Gona Grafsgaard","firstName":"Manikanta","lastName":"Gona Grafsgaard","company":"AWS"},{"id":"1737651744197001iqMN_17746331reinvent2026","displayName":"Duncan Watson","name":"Duncan Watson","firstName":"Duncan","lastName":"Watson","company":"AWS"}],"venueRoomName":"Level 1 | Academy 409","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Amazon Builds on AWS"}],"industry":[{"id":"Industry","displayName":"Retail & Consumer Goods"}],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1780442222874001crPm","hash":"c10ddb19a9944976188f271be3dc2db6","shortId":"ANT448-R","title":"Unified observability with Amazon OpenSearch Service","abstract":"Most teams run observability across fragmented tools: one for metrics, another for logs and traces, each with its own cost model and blind spots. In this session, you work hands-on to consolidate your observability stack on Amazon OpenSearch Service. You integrate Amazon Managed Prometheus for metrics, configure native OpenTelemetry ingestion for traces and logs, and see how a single pane of glass eliminates the context-switching that slows down investigations. Then you optimize for cost and scale: warm tiering, direct query for infrequently accessed data, and O-series instances for log-heavy workloads. Finally, you use AI-powered investigation to perform natural-language root-cause analysis across your unified telemetry and monitor your agents' behavior in production. You leave with a working observability setup that scales, costs less, and investigates faster.","startDateTime":"2026-12-01T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025504798001CsSE","lastModified":"2026-11-05T18:51:11Z","speakers":[{"id":"1787223702704001Aati_17746331reinvent2026","displayName":"Alex Tarasov","name":"Alex Tarasov","firstName":"Alex","lastName":"Tarasov","company":"AWS"},{"id":"1725566545423001SvY7_17746331reinvent2026","displayName":"Aruna Govindaraju","name":"Aruna Govindaraju","firstName":"Aruna","lastName":"Govindaraju","company":"Amazon Web Services"},{"id":"1725566545593001Sra5_17746331reinvent2026","displayName":"Cedric Pelvet","name":"Cedric Pelvet","firstName":"Cedric","lastName":"Pelvet","company":"AWS"},{"id":"1790869216184001XBx7_17746331reinvent2026","displayName":"Jay Agnihotri","name":"Jay Agnihotri","firstName":"Jay","lastName":"Agnihotri","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon OpenSearch Serverless"},{"id":"Services","displayName":"Amazon OpenSearch Service"},{"id":"Services","displayName":"OpenSearch"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1790358217403001iOIR","shortId":"ANT448-R1","startDateTime":"2026-12-02T21:00:00.000Z","endDateTime":"2026-12-02T22:00:00.000Z","startTime":"13:00","endTime":"14:00","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358217403001iOIR","hash":"d4e9991cb24bbac24a810c997a1c3a20","shortId":"ANT448-R1","title":"Unified observability with Amazon OpenSearch Service","abstract":"Most teams run observability across fragmented tools: one for metrics, another for logs and traces, each with its own cost model and blind spots. In this session, you work hands-on to consolidate your observability stack on Amazon OpenSearch Service. You integrate Amazon Managed Prometheus for metrics, configure native OpenTelemetry ingestion for traces and logs, and see how a single pane of glass eliminates the context-switching that slows down investigations. Then you optimize for cost and scale: warm tiering, direct query for infrequently accessed data, and O-series instances for log-heavy workloads. Finally, you use AI-powered investigation to perform natural-language root-cause analysis across your unified telemetry and monitor your agents' behavior in production. You leave with a working observability setup that scales, costs less, and investigates faster.","startDateTime":"2026-12-02T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-02T21:00:00.000Z","endDateTime":"2026-12-02T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790360399994001AVMm","lastModified":"2026-11-05T18:51:11Z","speakers":[{"id":"1787223702704001Aati_17746331reinvent2026","displayName":"Alex Tarasov","name":"Alex Tarasov","firstName":"Alex","lastName":"Tarasov","company":"AWS"},{"id":"1725566545423001SvY7_17746331reinvent2026","displayName":"Aruna Govindaraju","name":"Aruna Govindaraju","firstName":"Aruna","lastName":"Govindaraju","company":"Amazon Web Services"},{"id":"1725566545593001Sra5_17746331reinvent2026","displayName":"Cedric Pelvet","name":"Cedric Pelvet","firstName":"Cedric","lastName":"Pelvet","company":"AWS"},{"id":"1790869216184001XBx7_17746331reinvent2026","displayName":"Jay Agnihotri","name":"Jay Agnihotri","firstName":"Jay","lastName":"Agnihotri","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon OpenSearch Serverless"},{"id":"Services","displayName":"Amazon OpenSearch Service"},{"id":"Services","displayName":"OpenSearch"}],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1780442222874001crPm","shortId":"ANT448-R","startDateTime":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Tuesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442244970001ciKq","hash":"2512caaf900c5885168108ac3c01cabe","shortId":"IND332","title":"Unifying fragmented data: A lakehouse for the agentic AI era","abstract":"Financial services organizations face growing data volumes, strict regulations, and architectures where siloed warehouses and separate data lakes fragment data, drive up costs, and slow insights. In this chalk talk, we walk through a modern Lakehouse architecture on AWS that combines the cost benefits of data lakes with the governance and performance of data warehouses. We explain how Amazon S3 Tables with managed Apache Iceberg and AWS Glue Catalog semantic search deliver a single governed data foundation supporting agentic AI, traditional AI/ML, and analytics workloads. Learn practical patterns for a scalable Lakehouse you can apply immediately.","startDateTime":"2026-11-30T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-11-30T21:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025486658001C1sE","lastModified":"2026-11-04T08:28:47Z","speakers":[{"id":"1740412395618001M4g8_17746331reinvent2026","displayName":"Himanshu Sahni","name":"Himanshu Sahni","firstName":"Himanshu","lastName":"Sahni","company":"AWS"},{"id":"1740495670618001btB8_17746331reinvent2026","displayName":"Prasad Shetty","name":"Prasad Shetty","firstName":"Prasad","lastName":"Shetty","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"},{"id":"Services","displayName":"AWS Glue"}],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780442259884001c3C1","hash":"5983407828ac423958ddef1c54250041","shortId":"CMP351","title":"Unlock cost efficiency with Graviton savings tools","abstract":"While AWS Graviton delivers up to 40% better price-performance, uncovering those savings across your fleet shouldn't take weeks of manual analysis. Building a concrete migration plan for a specific environment is where teams get stuck. The Graviton Savings Dashboard is an Amazon Quick visualization of your Graviton usage, realized savings, and migration opportunities over time. The Graviton Savings Assessment is an open-source skill that any AI coding agent can run against your accounts to produce a prioritized migration roadmap on demand. This lightning talk demonstrates both tools against a real-world scenario, showing how to analyze compute usage, visualize potential savings, and turn efficiency insights into actionable migration plans you can use to accelerate your Graviton adoption.","startDateTime":"2026-12-01T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-12-01T23:30:00.000Z","endDateTime":"2026-12-01T23:50:00.000Z","endTime":"15:50","sessionTimeId":"1790033110688001qfgI","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726543323004001C2qq_17746331reinvent2026","displayName":"Rosa Corley","name":"Rosa Corley","firstName":"Rosa","lastName":"Corley","company":"AWS"},{"id":"1725279617352001MqcJ_17746331reinvent2026","displayName":"Rajani Guptan","name":"Rajani Guptan","firstName":"Rajani","lastName":"Guptan","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Kubernetes Service (Amazon EKS)"},{"id":"Services","displayName":"Amazon Quick Suite"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Customer Enablement"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1791492160511001Ursf","hash":"1c2016e5dd9c5855c868e22c1e5b9cc8","shortId":"SUP228","title":"Unlocking inference: How OpenRouter scaled to 10M+ users with AWS","abstract":"As AI moves from experimentation to production, developers want access to every leading model through one simple interface. OpenRouter and Amazon Bedrock unlock this access for millions of customers. In this lightning talk, OpenRouter's Head of GTM, Glenn Rachlin shares how the two companies partnered to support that hypergrowth. Learn what it takes to scale an AI platform globally, how startups and AWS can grow together, and what OpenRouter's journey shows about where AI adoption is heading.","startDateTime":"2026-12-01T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-01T21:00:00.000Z","endDateTime":"2026-12-01T21:20:00.000Z","endTime":"13:20","sessionTimeId":"1793722437422001HBaT","lastModified":"2026-11-06T01:28:59Z","speakers":[{"id":"1793223812841001DeDR_17746331reinvent2026","displayName":"Glenn Rachlin","name":"Glenn Rachlin","firstName":"Glenn","lastName":"Rachlin","company":"OpenRouter"}],"venueRoomName":"Level 1 | Forum Event Plaza | Startup Plaza Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Networking & Content Delivery"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":70},{"id":"1780442282626001cDd0","hash":"89fd512c6caa0c6ca0c237d7838e831b","shortId":"MAM333","title":"Unlocking SAP Data with AI: From Zero-ETL to Agentic Automation","abstract":"Critical business data remains locked inside SAP ERP and BW systems, limiting real-time insights and AI-driven automation. In this hands-on workshop, learn how to break down data silos using a modern, cost-effective architecture without expensive ETL pipelines. Explore a unified analytics strategy spanning Databricks, Snowflake, and AWS-native services that enables end-to-end SAP data modernization. Then, build with the AWS for SAP MCP Server, enabling agentic AI to orchestrate across SAP, Salesforce, and AWS without writing code.","startDateTime":"2026-11-30T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-11-30T20:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025483750001CArI","lastModified":"2026-11-04T07:17:24Z","speakers":[{"id":"1739301406703001ECEO_17746331reinvent2026","displayName":"Ramkrishna Borhade","name":"Ramkrishna Borhade","firstName":"Ramkrishna","lastName":"Borhade","company":"Amazon"},{"id":"1725408359999001uWLA_17746331reinvent2026","displayName":"Pavol Masarovic","name":"Pavol Masarovic","firstName":"Pavol","lastName":"Masarovic","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon SageMaker"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"SAP"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":150},{"id":"1790358233410001iPid","hash":"277f696fb61dfc7f6d02544bd6f39ce7","shortId":"DAT413-R1","title":"Unlock intelligent AI with MCP-powered agentic Neptune graph reasoning","abstract":"Graph-based agentic reasoning empowers AI systems to dynamically interact with the rich context and relationships in an Amazon Neptune graph, enabling intelligent, flexible, and scalable AI solutions that extract valuable insights from complex, interconnected data. In this session, build a generative AI application for investment analysis spanning the full lifecycle, from raw unstructured data to autonomous AI agents, by combining Neptune, Amazon Bedrock AgentCore, and the Model Context Protocol (MCP). Construct autonomous AI workflows that extract entities and relationships from raw EDGAR data, build a domain knowledge graph, surface actionable insights from graph relationships, and build an agent to find investment analysis trends. Bring your laptop to participate.","startDateTime":"2026-12-02T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T18:30:00.000Z","endTime":"10:30","sessionTimeId":"1790360383350001A8vE","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408275843001uhPe_17746331reinvent2026","displayName":"Melissa Kwok","name":"Melissa Kwok","firstName":"Melissa","lastName":"Kwok","company":"AWS"},{"id":"1725408275525001u9zU_17746331reinvent2026","displayName":"Kelvin Lawrence","name":"Kelvin Lawrence","firstName":"Kelvin","lastName":"Lawrence","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Neptune"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Open Data"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":84,"repeats":[{"id":"1780442278651001cGUh","shortId":"DAT413-R","startDateTime":"2026-11-30T20:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","startTime":"12:30","endTime":"14:30","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442278651001cGUh","hash":"678a529454e5b7953fec11ede90869e7","shortId":"DAT413-R","title":"Unlock intelligent AI with MCP-powered agentic Neptune graph reasoning","abstract":"Graph-based agentic reasoning empowers AI systems to dynamically interact with the rich context and relationships in an Amazon Neptune graph, enabling intelligent, flexible, and scalable AI solutions that extract valuable insights from complex, interconnected data. In this session, build a generative AI application for investment analysis spanning the full lifecycle, from raw unstructured data to autonomous AI agents, by combining Neptune, Amazon Bedrock AgentCore, and the Model Context Protocol (MCP). Construct autonomous AI workflows that extract entities and relationships from raw EDGAR data, build a domain knowledge graph, surface actionable insights from graph relationships, and build an agent to find investment analysis trends. Bring your laptop to participate.","startDateTime":"2026-11-30T20:30:00.000Z","startTime":"12:30","startTimeFormatted":"2026-11-30T20:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025485173001CfUt","lastModified":"2026-10-30T23:17:02Z","speakers":[{"id":"1725408275843001uhPe_17746331reinvent2026","displayName":"Melissa Kwok","name":"Melissa Kwok","firstName":"Melissa","lastName":"Kwok","company":"AWS"},{"id":"1725408275525001u9zU_17746331reinvent2026","displayName":"Kelvin Lawrence","name":"Kelvin Lawrence","firstName":"Kelvin","lastName":"Lawrence","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Neptune"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Open Data"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":84,"repeats":[{"id":"1790358233410001iPid","shortId":"DAT413-R1","startDateTime":"2026-12-02T16:30:00.000Z","endDateTime":"2026-12-02T18:30:00.000Z","startTime":"08:30","endTime":"10:30","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442269351001cEdU","hash":"16f2ad0eac2d58955af67d2b9dd9e22e","shortId":"AIM460-S","title":"Unlock Secure Vibe Coding on AWS Today (sponsored by Superblocks)","abstract":"Your business teams already build apps with AI, often on real company data. Most of those apps never make it to production. The rest run without guardrails, and IT can't see who built what or what data it touches. Blocking the tools doesn't stop the building. This session lays out a third option: a reference blueprint for governed vibe coding in your own AWS account. Learn how to set guardrails once for every AI-built app, catch vulnerable code before it ships, keep a full audit trail, and make sure every app still has an owner when its builder leaves. This presentation is brought to you by Superblocks, an AWS Partner.","startDateTime":"2026-12-02T01:30:00.000Z","startTime":"17:30","startTimeFormatted":"2026-12-02T01:30:00.000Z","endDateTime":"2026-12-02T01:50:00.000Z","endTime":"17:50","sessionTimeId":"1790033124393001qg1K","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Marketplace"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Responsible AI"},{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442273358001cyTx","hash":"20b3493d1e990e6d79d2afb5668ff3cc","shortId":"ANT352-S","title":"Unlock Workday data with AWS: Building Trustworthy Agents (sponsored by Workday)","abstract":"Generative AI agents and analytics in AWS are only as effective as the enterprise context behind them. While tools like Amazon Bedrock and Amazon Quick deliver powerful reasoning capabilities, grounding those models in authoritative, real-time HR and financial data traditionally requires complex ETL pipelines, custom integrations, and data duplication.\n\nIn this session, we’ll demonstrate how Workday natively bridges this gap on AWS. Through live cross-system AI agent demos, you’ll see how to deliver unified, real-time enterprise insights without writing ETL code or moving data. This presentation is brought to you by Workday, an AWS Partner.","startDateTime":"2026-12-03T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T18:50:00.000Z","endTime":"10:50","sessionTimeId":"1791922551994001AMf0","lastModified":"2026-11-06T01:41:08Z","speakers":[{"id":"1792605096909001d4hM_17746331reinvent2026","displayName":"Mark McCauley","name":"Mark McCauley","firstName":"Mark","lastName":"McCauley","company":"Workday"}],"venueRoomName":"Level 2 | Hall B | Expo | Global Impact Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Marketplace"}],"topics":[{"id":"Topic","displayName":"Analytics"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Business Intelligence"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780442225615001chs0","hash":"02af037f765ab13d4903ef0c8bf77cdc","shortId":"CMP301-R","title":"Unlock your AWS Graviton potential using Graviton Savings Dashboard and AI skills","abstract":"How much can you save by migrating to Graviton? In this builder session, explore two complementary ways to answer it, hands-on. The Graviton Savings Dashboard is an AWS Quick visualization of your Graviton usage, realized savings, and migration opportunities. The Graviton Savings Assessment is an open-source skill any AI coding agent runs against your cost and usage data to produce a prioritized migration plan. Use both tools against a sample fleet, identify migration candidates, and see how quickly cost data becomes a migration strategy. Walk away with actionable insights and a deployment kit for your own accounts.","startDateTime":"2026-12-01T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025496730001C7a2","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726543323004001C2qq_17746331reinvent2026","displayName":"Rosa Corley","name":"Rosa Corley","firstName":"Rosa","lastName":"Corley","company":"AWS"},{"id":"1736361494673001VbvN_17746331reinvent2026","displayName":"Jake Wolf","name":"Jake Wolf","firstName":"Jake","lastName":"Wolf","company":"AWS"},{"id":"1725279617352001MqcJ_17746331reinvent2026","displayName":"Rajani Guptan","name":"Rajani Guptan","firstName":"Rajani","lastName":"Guptan","company":"AWS"},{"id":"1738787207387001ZEg3_17746331reinvent2026","displayName":"Julio Chaves","name":"Julio Chaves","firstName":"Julio","lastName":"Chaves","company":"AWS"},{"id":"1737654060193001TYUq_17746331reinvent2026","displayName":"Bhavik Gandhi","name":"Bhavik Gandhi","firstName":"Bhavik","lastName":"Gandhi","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"AWS Billing and Cost Management"},{"id":"Services","displayName":"Amazon Quick Suite"}],"topics":[{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Business Intelligence"},{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1790358252924001i9V8","shortId":"CMP301-R1","startDateTime":"2026-12-03T00:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","startTime":"16:30","endTime":"17:30","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1790358252924001i9V8","hash":"575113fccb27c49f868defd78a70d3ba","shortId":"CMP301-R1","title":"Unlock your AWS Graviton potential using Graviton Savings Dashboard and AI skills","abstract":"How much can you save by migrating to Graviton? In this builder session, explore two complementary ways to answer it, hands-on. The Graviton Savings Dashboard is an AWS Quick visualization of your Graviton usage, realized savings, and migration opportunities. The Graviton Savings Assessment is an open-source skill any AI coding agent runs against your cost and usage data to produce a prioritized migration plan. Use both tools against a sample fleet, identify migration candidates, and see how quickly cost data becomes a migration strategy. Walk away with actionable insights and a deployment kit for your own accounts.","startDateTime":"2026-12-03T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-03T00:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790360387299001AlMY","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726543323004001C2qq_17746331reinvent2026","displayName":"Rosa Corley","name":"Rosa Corley","firstName":"Rosa","lastName":"Corley","company":"AWS"},{"id":"1736361494673001VbvN_17746331reinvent2026","displayName":"Jake Wolf","name":"Jake Wolf","firstName":"Jake","lastName":"Wolf","company":"AWS"},{"id":"1725279617352001MqcJ_17746331reinvent2026","displayName":"Rajani Guptan","name":"Rajani Guptan","firstName":"Rajani","lastName":"Guptan","company":"AWS"},{"id":"1738787207387001ZEg3_17746331reinvent2026","displayName":"Julio Chaves","name":"Julio Chaves","firstName":"Julio","lastName":"Chaves","company":"AWS"},{"id":"1737654060193001TYUq_17746331reinvent2026","displayName":"Bhavik Gandhi","name":"Bhavik Gandhi","firstName":"Bhavik","lastName":"Gandhi","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"AWS Billing and Cost Management"},{"id":"Services","displayName":"Amazon Quick Suite"}],"topics":[{"id":"Topic","displayName":"Compute"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Business Intelligence"},{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50,"repeats":[{"id":"1780442225615001chs0","shortId":"CMP301-R","startDateTime":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","startTime":"16:00","endTime":"17:00","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780441502724001GFvW","hash":"2a201a740c46c34a8b1e6c430de14d90","shortId":"STG324-R","title":"Unlock your S3 data for AI agents","abstract":"You’ve built a rich data lake in Amazon S3. 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Bring your questions as we discuss permission boundaries and practical integration patterns.","startDateTime":"2026-12-02T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025516587001CvXx","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1762809184496001XyNA_17746331reinvent2026","displayName":"Majisha Namath Parambath","name":"Majisha Namath Parambath","firstName":"Majisha","lastName":"Namath Parambath","company":"Amazon Web Services"},{"id":"1725408437293001uN5z_17746331reinvent2026","displayName":"Harsha Battapady","name":"Harsha Battapady","firstName":"Harsha","lastName":"Battapady","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1790358227661001iqhz","shortId":"STG324-R1","startDateTime":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","startTime":"13:00","endTime":"14:00","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1790358227661001iqhz","hash":"c0c436746d8d2c9d36d33422565b32b3","shortId":"STG324-R1","title":"Unlock your S3 data for AI agents","abstract":"You’ve built a rich data lake in Amazon S3. Now how do your AI agents actually find and use that data? In this chalk talk, explore patterns for connecting AI agents to S3 resources, including S3 Tables, S3 Metadata, and annotations, with real-time, governed access. Learn how the AWS MCP Server and Agent Toolkit for AWS help agents discover and operate on your data, how the AWS Context knowledge graph surfaces relationships agents can reason over, and how curated skills handle common data lake and analytics workflows. Bring your questions as we discuss permission boundaries and practical integration patterns.","startDateTime":"2026-12-03T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790360370568001AbIr","lastModified":"2026-11-04T22:12:34Z","speakers":[{"id":"1762809184496001XyNA_17746331reinvent2026","displayName":"Majisha Namath Parambath","name":"Majisha Namath Parambath","firstName":"Majisha","lastName":"Namath Parambath","company":"Amazon Web Services"},{"id":"1725408437293001uN5z_17746331reinvent2026","displayName":"Harsha Battapady","name":"Harsha Battapady","firstName":"Harsha","lastName":"Battapady","company":"Amazon Web Services"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Storage"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780441502724001GFvW","shortId":"STG324-R","startDateTime":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","startTime":"10:00","endTime":"11:00","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442284661001cExf","hash":"a18e95621fb37c58083d13e366f2f79c","shortId":"SEC312","title":"Use AWS Continuum to move from annual pentesting to continuous security","abstract":"AI coding tools can make developers 10–20x more productive and yet many organizations may only be able to pentest critical apps once a year. The rest need to go untested entirely. In this builders' session, use AWS Security Agent (now part of Continuum) to run an on-demand penetration test against a live application. You'll triage findings by exploitability, validate real-world impact, and apply automated code remediations. Leave with prescriptive next steps to scan your own applications using a frontier AI agent that secures workloads from design through deployment. You must bring your laptop to participate.","startDateTime":"2026-12-01T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-12-01T23:30:00.000Z","endDateTime":"2026-12-02T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790025508698001CH6m","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1728334135505001CwWs_17746331reinvent2026","displayName":"Jeremy Schiefer","name":"Jeremy Schiefer","firstName":"Jeremy","lastName":"Schiefer","company":"AWS"},{"id":"1726243714926001MP6y_17746331reinvent2026","displayName":"Cameron Smith","name":"Cameron Smith","firstName":"Cameron","lastName":"Smith","company":"AWS Forward Deployed Engineering (FDE)"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Tuesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"AWS Security Agent"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":84},{"id":"1780441463809001GTfA","hash":"7ccce446b23015c28036d6f8ad20b30c","shortId":"AIM205","title":"Using AI for Impact: Achieving Sustainability and ROI on AWS","abstract":"AI is accelerating sustainability at unprecedented speed, but only if the infrastructure behind it keeps pace. In this session, we will explore how AWS makes AI infrastructure more sustainable through hardware design decisions that minimize embodied carbon, custom silicon optimized for energy efficiency, and ML-driven data center optimization. Amazon Operations will show how AI and ML turn facility maintenance into prescriptive, autonomous operations: optimizing HVAC, water, and utilities for greater equipment reliability, and sustainability. Leave with a clear understanding of the AWS services powering these solutions, how AWS is building a more sustainable infrastructure, and how to get started with tracking and reducing your environmental impact.","startDateTime":"2026-12-03T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025538375001Cx0B","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1728073336080001y2PT_17746331reinvent2026","displayName":"Francesca Stobbione","name":"Francesca Stobbione","firstName":"Francesca","lastName":"Stobbione","company":"Amazon EU SARL"},{"id":"1725408403584001uEXP_17746331reinvent2026","displayName":"Steffen Grunwald","name":"Steffen Grunwald","firstName":"Steffen","lastName":"Grunwald","company":"Amazon Web Services"},{"id":"1727286674124001DjqB_17746331reinvent2026","displayName":"Alexis Bateman","name":"Alexis Bateman","firstName":"Alexis","lastName":"Bateman","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Global Infrastructure"},{"id":"AreaofInterest","displayName":"Sustainability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780441478365001GJfH","hash":"75afd9aad9eb2d2ae296b8dfffe7b945","shortId":"MAM207","title":"Using AI to scale legacy app modernization with Experian & Itaú","abstract":"A successful modernization approach only matters if it scales beyond the first pilot. Experian and Itaú share how they grew their approach with AWS Transform and Kiro from a single engagement into an enterprise-wide operating model. Experian compresses mainframe analysis from months to days, then standardizes modernization across 550+ workloads and multiple regions with a fully agentic reverse-engineering pipeline. Itaú expanded to 43 business domains, processing nearly 140 million lines of code in a single month. Leave with the operating models that scale modernization from one application to the entire portfolio, unlocking AI-driven capabilities along the way. ","startDateTime":"2026-12-02T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-02T21:00:00.000Z","endDateTime":"2026-12-02T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790025522245001C5wL","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1728070506788001hcRx_17746331reinvent2026","displayName":"Douglas Suryan","name":"Douglas Suryan","firstName":"Douglas","lastName":"Suryan","company":"Itau Unibanco S A Bank Group"},{"id":"1725408491509001uK4W_17746331reinvent2026","displayName":"Rao Panchomarthi","name":"Rao Panchomarthi","firstName":"Rao","lastName":"Panchomarthi","company":"Amazon"},{"id":"1777991576321001VNb5_17746331reinvent2026","displayName":"Gaurav Arora","name":"Gaurav Arora","firstName":"Gaurav","lastName":"Arora","company":"Experian Services Corp."}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"AWS Mainframe Modernization"},{"id":"Services","displayName":"AWS Transform"},{"id":"Services","displayName":"Kiro"}],"topics":[{"id":"Topic","displayName":"Migration & Modernization"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1784231861534001Ezau","hash":"f750486c115554ada6072dced978b0fa","shortId":"TNC307-R","title":"Validate your hands-on AWS skills & earn a Microcredential ","abstract":"In this session, you will be given time to attempt a microcredential exam of your choice on AWS Skill Builder. 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Those who pass will be issued a microcredential badge on Credly.","startDateTime":"2026-12-02T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1791232313142001lVfK","lastModified":"2026-11-03T21:51:08Z","speakers":[{"id":"1739818052848001PmyE_17746331reinvent2026","displayName":"Tom Lawlor","name":"Tom Lawlor","firstName":"Tom","lastName":"Lawlor","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Exam prep"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":82,"repeats":[{"id":"1784231861534001Ezau","shortId":"TNC307-R","startDateTime":"2026-11-30T22:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","startTime":"14:30","endTime":"17:30","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}},{"id":"1784231861722001EVTP","shortId":"TNC307-R1","startDateTime":"2026-12-01T22:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","startTime":"14:00","endTime":"17:00","day":"Tuesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}},{"id":"1784231861786001E1lH","shortId":"TNC307-R3","startDateTime":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","startTime":"13:00","endTime":"16:00","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1784231861722001EVTP","hash":"8c6b069583c0331e499d9017ad243828","shortId":"TNC307-R1","title":"Validate your hands-on AWS skills & earn a Microcredential ","abstract":"In this session, you will be given time to attempt a microcredential exam of your choice on AWS Skill Builder. These timed, hands-on exams test your skills in a live, provisioned AWS environment and test on popular topics. \n\nThe product and developer team will be onsite to walk you through the UI and introduce the exam. Please note - this is an individual exam, and you will not be provided any hints or guidance outside of what is provided in the typical test environment. This exam is free to take on AWS Skill Builder. \n\nAttendees are required to bring their own device to complete the exam. Those who pass will be issued a microcredential badge on Credly.","startDateTime":"2026-12-01T22:00:00.000Z","startTime":"14:00","startTimeFormatted":"2026-12-01T22:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790892831342001rnTW","lastModified":"2026-11-06T03:25:48Z","speakers":[{"id":"1739818052848001PmyE_17746331reinvent2026","displayName":"Tom Lawlor","name":"Tom Lawlor","firstName":"Tom","lastName":"Lawlor","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Exam prep"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":82,"repeats":[{"id":"1784231861534001Ezau","shortId":"TNC307-R","startDateTime":"2026-11-30T22:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","startTime":"14:30","endTime":"17:30","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}},{"id":"1784231861650001EiWr","shortId":"TNC307-R2","startDateTime":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","startTime":"14:30","endTime":"17:30","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}},{"id":"1784231861786001E1lH","shortId":"TNC307-R3","startDateTime":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","startTime":"13:00","endTime":"16:00","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1784231861786001E1lH","hash":"ff510524d6b204411dc9978b452db3ec","shortId":"TNC307-R3","title":"Validate your hands-on AWS skills & earn a Microcredential ","abstract":"In this session, you will be given time to attempt a microcredential exam of your choice on AWS Skill Builder. These timed, hands-on exams test your skills in a live, provisioned AWS environment and test on popular topics. \n\nThe product and developer team will be onsite to walk you through the UI and introduce the exam. Please note - this is an individual exam, and you will not be provided any hints or guidance outside of what is provided in the typical test environment. This exam is free to take on AWS Skill Builder. \n\nAttendees are required to bring their own device to complete the exam. Those who pass will be issued a microcredential badge on Credly.","startDateTime":"2026-12-03T21:00:00.000Z","startTime":"13:00","startTimeFormatted":"2026-12-03T21:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790893242938001dFvu","lastModified":"2026-11-06T14:03:50Z","speakers":[{"id":"1739818052848001PmyE_17746331reinvent2026","displayName":"Tom Lawlor","name":"Tom Lawlor","firstName":"Tom","lastName":"Lawlor","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Exam prep"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Training & Certification"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":82,"repeats":[{"id":"1784231861534001Ezau","shortId":"TNC307-R","startDateTime":"2026-11-30T22:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","startTime":"14:30","endTime":"17:30","day":"Monday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}},{"id":"1784231861650001EiWr","shortId":"TNC307-R2","startDateTime":"2026-12-02T22:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","startTime":"14:30","endTime":"17:30","day":"Wednesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}},{"id":"1784231861722001EVTP","shortId":"TNC307-R1","startDateTime":"2026-12-01T22:00:00.000Z","endDateTime":"2026-12-02T01:00:00.000Z","startTime":"14:00","endTime":"17:00","day":"Tuesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442226822001ckq0","hash":"7b1db27ab448ecedeeeeacad4c598ea1","shortId":"DAT407","title":"Vector search, agents, and image matching with Amazon DynamoDB","abstract":"Amazon DynamoDB supports native vector search, enabling semantic queries, agentic recommendations, and image-based matching without additional infrastructure. In this session, explore how to design a single-table data model for a recipe database, bulk-load thousands of items with embeddings, and build three vector-powered features: semantic search, a smart recommendation agent, and image-based meal matching. Learn how to configure vector indexes, composite keys, and global secondary indexes on a fully serverless stack, and leave with reusable patterns to add vector search to your own DynamoDB workloads. Bring your laptop to participate.","startDateTime":"2026-12-03T18:30:00.000Z","startTime":"10:30","startTimeFormatted":"2026-12-03T18:30:00.000Z","endDateTime":"2026-12-03T19:30:00.000Z","endTime":"11:30","sessionTimeId":"1790025537069001Cp3d","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1724787091210001AySH_17746331reinvent2026","displayName":"Mo Kamioner","name":"Mo Kamioner","firstName":"Mo","lastName":"Kamioner","company":"Amazon Web Services"},{"id":"1725566542987001SQil_17746331reinvent2026","displayName":"Deepthi Mohan","name":"Deepthi Mohan","firstName":"Deepthi","lastName":"Mohan","company":"Amazon Web Services"},{"id":"1756397067995001x64l_17746331reinvent2026","displayName":"Lee Hannigan","name":"Lee Hannigan","firstName":"Lee","lastName":"Hannigan","company":"Amazon Web Services"},{"id":"1728667234242001yl6v_17746331reinvent2026","displayName":"Greg Krumm","name":"Greg Krumm","firstName":"Greg","lastName":"Krumm","company":"Amazon Web Services"},{"id":"1724225161104001ySvw_17746331reinvent2026","displayName":"Arjan Schaaf","name":"Arjan Schaaf","firstName":"Arjan","lastName":"Schaaf","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon DynamoDB"}],"topics":[{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780441494710001GCwo","hash":"d94e26192c8eba8cf581b43592dfe8c6","shortId":"INV524","title":"Verifying Post-Quantum Cryptography at Speed","abstract":"Traditionally, cryptographic engineering involves a performance/assurance trade-off: clean code is easy to audit and maintain, yet slow; handwritten assembly is fast, yet hard to validate. Discover how automated reasoning helps to overcome this tension, following the example of mlkem-native and mldsa-native, two open-source post-quantum cryptography libraries co-maintained by AWS and deployed in AWS-LC, Amazon's cryptography library. In these libraries, constraint solving enables automated superoptimization at the assembly level, while formal verification vets the result. Contrary to the popular belief that assurance costs speed, it is automated reasoning that enables deep optimization, verification and rapid deployment of cryptographic code at cloud scale.","startDateTime":"2026-12-02T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025515028001CBci","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1787937078434001GzGR_17746331reinvent2026","displayName":"Hanno Becker","name":"Hanno Becker","firstName":"Hanno","lastName":"Becker","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[],"topics":[{"id":"Topic","displayName":"Open Source"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cryptography and Post-Quantum"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":75},{"id":"1780441482645001G2CB","hash":"7e76b4ac54b994ef1d92fd60fe9d3a29","shortId":"AIM224-S","title":"Vertiv’s Amazon Quick Journey: Scaling Agentic AI Globally with Deloitte & AWS (sponsored by Deloitte)","abstract":"Vertiv, a global digital infrastructure company, faced fragmented AI experimentation, limited accessibility, and complex enterprise integrational barriers preventing consistent scaling. Vertiv's AI journey began with VeGA, a GenAI platform turned agentic with their recent release of VeGA 3.0. Powered by Amazon Quick, it enables employees to generate content, automate workflows, and create custom applications. In one year, nearly one-third of the workforce was registered in VeGA, spanning functions across all functions and regions. Attendees will learn the architectural blueprint for evolving from basic AI assistants to intelligent agentic systems, including connectors used, data streamlining strategies, and practical implementation steps. This presentation is brought to you by Deloitte, an AWS Partner.","startDateTime":"2026-12-01T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-01T19:30:00.000Z","endDateTime":"2026-12-01T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790034530606001pW5K","lastModified":"2026-11-06T01:41:08Z","speakers":[{"id":"1787636353729001riSM_17746331reinvent2026","displayName":"Bhavik Rao","name":"Bhavik Rao","firstName":"Bhavik","lastName":"Rao","company":"Vertiv Co."},{"id":"1763389623356001O8X7_17746331reinvent2026","displayName":"Mohamad Said","name":"Mohamad Said","firstName":"Mohamad","lastName":"Said","company":"Deloitte"}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Red Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon Quicksight Q"},{"id":"Services","displayName":"Amazon Quick Suite"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Business Intelligence"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Advisor / Consultant"},{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780441494770001Gdtf","hash":"ad18a49d4bc0f535004c3020f5159925","shortId":"INV525","title":"Virtualization Architecture Behind AgentCore's Runtime Security Model","abstract":"Journey into the sophisticated virtualization architecture that powers AgentCore's runtime security model. This session examines the intricate mechanics of session isolation at the virtualization layer, exploring advanced techniques in compute and memory virtualization, virtual machine snapshot optimization, and virtual memory deduplication. Drawing from operating systems research and systems security principles, we'll demonstrate how these components work together to create robust security boundaries for agent workloads. Attendees will gain deep technical insights into the mathematical and systems-level concepts that position AWS at the forefront of secure agent runtime architectures, showcasing our industry-leading approach to securing code execution in agent environments.","startDateTime":"2026-12-01T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-01T21:30:00.000Z","endDateTime":"2026-12-01T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790025504877001Cprs","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408318039001ugjy_17746331reinvent2026","displayName":"Marc Brooker","name":"Marc Brooker","firstName":"Marc","lastName":"Brooker","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780441472222001Gi6z","hash":"f281fc108b6018c7b904f6b12a7c102f","shortId":"IND3350","title":"Visa: Building autonomous defense for payments security in the agentic AI era","abstract":"Visa secures one of the world's largest payment ecosystems, processing over $14 trillion across 300+ billion transactions annually. As AI-powered threats evolve, Visa is reimagining cybersecurity through hybrid-cloud architecture with 70+ controls framework, AI-driven operations, and an agentic control plane designed for autonomous defense. Built on an Agentic harness with Zero-Trust principles and AWS capabilities, such as Amazon GuardDuty and AWS Nitro Enclaves, and cloud-agnostic security controls, Visa continuously detects and mitigates risk across its cloud environment. Discover how Visa is building a security foundation for the agentic AI era, protecting today's payments ecosystem while enabling AI-powered applications and autonomous workloads.","startDateTime":"2026-12-02T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1791231749135001mhr9","lastModified":"2026-11-06T01:28:59Z","speakers":[{"id":"1737664082510001O7Qs_17746331reinvent2026","displayName":"Gaurav Priyolkar","name":"Gaurav Priyolkar","firstName":"Gaurav","lastName":"Priyolkar","company":"Amazon Web Services"},{"id":"1790861818786001gcjl_17746331reinvent2026","displayName":"Anil Vatti","name":"Anil Vatti","firstName":"Anil","lastName":"Vatti","company":"Visa"},{"id":"1720552210925001B8Ut_17746331reinvent2026","displayName":"Vaijayanti Korde","name":"Vaijayanti Korde","firstName":"Vaijayanti","lastName":"Korde","company":"Visa Inc"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"Amazon GuardDuty"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"},{"id":"AreaofInterest","displayName":"Zero Trust"}],"industry":[{"id":"Industry","displayName":"Financial Services"}],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780442224545001cOGx","hash":"a555a4e526981ab9e4fa31ef750aeb85","shortId":"AIM412","title":"Visualize and interpret domain knowledge graphs using AI","abstract":"Complex systems like supply chains, energy grids, and decarbonization efforts are difficult to model because relationships between actors are hidden across siloed data. A knowledge graph can surface these connections, helping organizations simulate what-if scenarios and act on high impact opportunities. In this builder session, use Amazon Neptune to construct an ontology-typed knowledge graph that maps stakeholder dependencies and sustainability regulatory impacts. Then simulate competing interventions and use an Amazon Bedrock agent to interpret which action drives the broadest impact. Leave with a reusable pattern for modeling complex systems and identifying high-leverage intervention points. ","startDateTime":"2026-12-03T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-03T17:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025532626001C4ln","lastModified":"2026-11-05T19:12:18Z","speakers":[{"id":"1734000683121001zVyi_17746331reinvent2026","displayName":"Colin Marden","name":"Colin Marden","firstName":"Colin","lastName":"Marden","company":"Amazon Web Services"},{"id":"1725632279547001y4nz_17746331reinvent2026","displayName":"Ana Suja Lucia","name":"Ana Suja Lucia","firstName":"Ana","lastName":"Suja Lucia","company":"AWS"},{"id":"1725617395250001gtDG_17746331reinvent2026","displayName":"Jun Zhang","name":"Jun Zhang","firstName":"Jun","lastName":"Zhang","company":"Amazon Web Services"},{"id":"1725408471114001uAL0_17746331reinvent2026","displayName":"Marco Masciola","name":"Marco Masciola","firstName":"Marco","lastName":"Masciola","company":"Amazon Web Services"},{"id":"1726541522115001iHJ6_17746331reinvent2026","displayName":"Kenta Sato","name":"Kenta Sato","firstName":"Kenta","lastName":"Sato","company":"Amazon Web Services Japan G.K."}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Builders' session"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Sustainability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":50},{"id":"1780442257468001c44G","hash":"21353514f22b9f17f85d854a434626fb","shortId":"SEC421","title":"Visualizing agent identity privileges to monitor multi-agent behavior","abstract":"If one of your AI agents quietly gained admin-level access right now, would you know? In multi-agent systems, each handoff between agents can widen permissions, and traditional monitoring won't catch it. In this code talk, we build a real-time graph answering three questions: who are my agents, what can each one do, and what can they reach through each other? We connect IAM roles, Cedar policies, and CloudWatch data into one visual map, then add alerts that fire the instant any permission chain exceeds what you defined. You leave with the tool that catches it first.","startDateTime":"2026-12-03T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1790033113125001qgUe","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1744931038573001CQih_17746331reinvent2026","displayName":"Alex Waddell","name":"Alex Waddell","firstName":"Alex","lastName":"Waddell","company":"Amazon Web Services"},{"id":"1727276220250001i96B_17746331reinvent2026","displayName":"Meg Peddada","name":"Meg Peddada","firstName":"Meg","lastName":"Peddada","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"AWS Identity and Access Management (IAM)"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":60},{"id":"1780442274927001crTT","hash":"59d0439c3d15b2e89917dc64b84eae73","shortId":"ARC406","title":"Visualizing multi-tenant isolation: Catch your noisy neighbors","abstract":"Managing multi-tenant platforms forces trade-offs between cost, complexity, and performance. This session tackles two common challenges: tenant data isolation and the noisy-neighbor problem. Starting from a single-tenant architecture, you consolidate into a shared Amazon Aurora MySQL cluster, building isolation through Cognito-issued JWTs, Lambda-based dynamic policy generation, IAM authentication, and RDS Proxy connection pooling. Then you implement queuing tiers with Amazon SQS to manage load. Visualize real-time request flows, data isolation, and noisy-neighbor effects on your own dynamic architecture simulation and a central 16,000-LED display. Bring your laptop to participate.","startDateTime":"2026-11-30T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-11-30T23:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790033113690001qyGC","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408448104001uzAy_17746331reinvent2026","displayName":"Amit Lulla","name":"Amit Lulla","firstName":"Amit","lastName":"Lulla","company":"AWS"},{"id":"1770348645587001BXQn_17746331reinvent2026","displayName":"Sam Sanders","name":"Sam Sanders","firstName":"Sam","lastName":"Sanders","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"Amazon Aurora"},{"id":"Services","displayName":"Amazon Cognito"},{"id":"Services","displayName":"Amazon Simple Queue Service (Amazon SQS)"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Databases"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Data Protection"},{"id":"AreaofInterest","displayName":"SaaS"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140},{"id":"1780441495114001GRLB","hash":"81429f38436bdb1aaa961e1723ff951f","shortId":"INV531","title":"Visual reasoning will be bigger than language reasoning","abstract":"Today’s vision-language models can describe images fluently, yet still struggle with the spatial and perceptual reasoning required for robotics. This talk argues that visual reasoning—reasoning through points, sketches, trajectories, depth maps, and other grounded representations—will become more important than language reasoning for physical agents. It traces progress from benchmarks exposing fundamental perception failures to methods that teach models to reason directly in visual space. These ideas culminate in robotics foundation models that convert visual plans into robot actions. The resulting systems are interpretable, steerable, deployable zero-shot on affordable hardware, and competitive with proprietary models trained on substantially more data. We showcase how these ideas are advancing the goal of accessible, general-purpose robotics to the broader research community.","startDateTime":"2026-12-01T00:30:00.000Z","startTime":"16:30","startTimeFormatted":"2026-12-01T00:30:00.000Z","endDateTime":"2026-12-01T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1791396325725001HCmy","lastModified":"2026-11-05T20:06:10Z","speakers":[{"id":"1790831060495001BTsj_17746331reinvent2026","displayName":"Ranjay Krishna","name":"Ranjay Krishna","firstName":"Ranjay","lastName":"Krishna","company":"University of Washington"}],"venueRoomName":"Level 1 | Forum 114","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"500 – Distinguished","value":500},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Robotics"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":88},{"id":"1780442280740001chxB","hash":"f081d485de1e6b4b126a6fc609c0dd20","shortId":"HMC308","title":"VMware migration to Amazon EC2 and AWS Outposts with AWS Transform","abstract":"Many organizations struggle to migrate VMware workloads due to complex dependencies, network translation challenges, and the need to support both cloud and on-premises targets. In this workshop, you use AWS Transform MGN, an agentic AI service, to execute an end-to-end VMware migration to Amazon EC2 and AWS Outposts. You work through AI-driven discovery, dependency mapping, intelligent wave planning, automated network conversion, and orchestrated execution. See how Trianz's Concierto platform also integrates with AWS Transform to streamline migration to AWS Outposts with automated orchestration and operational governance. 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You will leave this session knowing how to apply the newest ECS capabilities to your workloads today, and what to plan for as the roadmap unfolds.","startDateTime":"2026-12-02T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-02T17:00:00.000Z","endDateTime":"2026-12-02T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025514960001CHvl","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1787937114198001GwEh_17746331reinvent2026","displayName":"Rayman Aeron","name":"Rayman Aeron","firstName":"Rayman","lastName":"Aeron","company":"Amazon Web Service"},{"id":"1725408352268001uiYq_17746331reinvent2026","displayName":"Alexandr Moroz","name":"Alexandr Moroz","firstName":"Alexandr","lastName":"Moroz","company":"AWS"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Blue Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Elastic Compute Cloud (Amazon EC2)"},{"id":"Services","displayName":"Amazon Elastic Container Service (Amazon ECS)"}],"topics":[{"id":"Topic","displayName":"Containers"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Administrator"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780441464871001GHVe","hash":"dbb758d81b4b126fcf7bfbe7bafa361e","shortId":"AIM220","title":"What's new in Amazon Bedrock","abstract":"AI moves fast: new models, new economics, and new governance capabilities. 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But siloed systems, fragmented data, and manual processes between teams create gaps they absolutely feel. This session introduces new Amazon Connect Customer capabilities that close those gaps end to end. 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In this session, learn how new Graviton-powered RG instances deliver better price-performance, a built-in data lake engine lets you read and write Apache Iceberg tables in place, multi-warehouse architecture gives teams independent scale with shared data, and Redshift Serverless improvements let you get insights on your data without managing infrastructure. 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This session covers 2026 launches including Route 53 Global Resolver for secure anycast DNS resolution from anywhere without VPNs, DNS Views sharing across accounts, and expanded DNS Firewall threat protection through partnerships. In this session, we also cover Profiles enhancements for simplified multi-VPC DNS management with granular IAM controls, and expanded domain registration support. 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This session unveils powerful new capabilities across key services, including Amazon EMR for scalable big data processing, AWS Glue for seamless data integration, Amazon Athena for optimized querying, and Amazon Managed Workflows for Apache Airflow (MWAA) for complex workflow orchestration. Discover how these innovations can supercharge performance, optimize costs, and streamline your entire data ecosystem. 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In this session, explore how AWS Glue Data Catalog embraces open standards and open table formats so your data stays portable and accessible across the tools and engines your teams already use. Learn how to discover and register data from a range of sources, govern and manage access from one place, and connect your catalog to Apache Iceberg-compatible engines, so you can avoid lock-in and keep the freedom to choose the right tool for each job. 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Maximize every GPU hour when building models such as BioFMs, World Models, and Sovereign AI, and run the full lifecycle from notebook to production across training, serving, and observability","startDateTime":"2026-12-02T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1793128947177001ORPF","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Kubernetes"}],"industry":[],"role":[{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":212},{"id":"1780441481766001Gm9D","hash":"c3196af239cf8631dbacc60ef81b1c5b","shortId":"SVS339","title":"What's new with Amazon API Gateway","abstract":"Your next API consumer might not be a person. AI agents, MCP servers, and coding assistants are calling APIs programmatically, and they need machine-readable schemas, predictable error contracts, and discoverable endpoints. In this session, we cover what's new with Amazon API Gateway: recent launches, direct service integrations that eliminate Lambda glue code, declarative event wiring, and patterns from real customer deployments. 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This session highlights that evolution, led by the convergence of object and file storage with the launch of S3 Files, delivering full file system access to your S3 data without sacrificing scalability or economics you expect from S3. We also explore S3 Vectors for AI workloads, S3 Metadata for richer data discovery, and S3 Tables for managed Apache Iceberg data lakes. Come see what’s launched, what’s next, and how to put it all to work. 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With agentic AI capabilities working across the migration lifecycle, AWS Transform automates what previously slowed teams down with manual work. In this session, get a first look at the latest capabilities accelerating your enterprise migration. 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Amazon EC2 brings together a portfolio of accelerated computing instances and innovations that keep the most demanding AI workloads secure by default and resilient to failures and maintenance. In this session, discover what's new in the AWS accelerated compute portfolio and dive deep into the architecture behind the latest generation of GPU instances for training and inference across large language and multimodal models. Hear real-world examples of how leading companies build on AWS, and leave understanding how AWS accelerated computing enables AI at scale.","startDateTime":"2026-12-02T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1791575951219001tcwj","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Compute"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[{"id":"Role","displayName":"Academic / Researcher"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":256},{"id":"1780441480013001G2C2","hash":"a1a3c2ed5c4f436bd34034f23d1eb53e","shortId":"OPN311","title":"What's new with OpenSearch: AI-native search, agents & observability","abstract":"The OpenSearch project has shipped its most transformative year ever. From agentic search with persistent memory, to GPU-accelerated vector search with 58% throughput gains, to a reimagined observability stack with Prometheus and Apache Iceberg support, the 3.x release train delivers capabilities builders can use today.\nOpenSearch Ambassador Dotan Horovits and TSC Chair Andrew Ross walk you through what's new, what it means for your architecture, and how to put it to work, whether you're building RAG pipelines, deploying monitoring, or creating AI agents.","startDateTime":"2026-11-30T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-11-30T17:00:00.000Z","endDateTime":"2026-11-30T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025475387001Cdud","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1737967991069001Nau6_17746331reinvent2026","displayName":"Dotan Horovits","name":"Dotan Horovits","firstName":"Dotan","lastName":"Horovits","company":"Amazon Web Services"},{"id":"1787937000975001G3Km_17746331reinvent2026","displayName":"Andrew Ross","name":"Andrew Ross","firstName":"Andrew","lastName":"Ross","company":"AWS"}],"venueRoomName":"Level 1 | Forum 120 | Content Hub | Blue Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":148},{"id":"1780442241372001c7Ky","hash":"dbf287dc388a7dd5ed41fada4578580c","shortId":"ANT343","title":"What's new with the Amazon SageMaker Data Agent","abstract":"The Amazon SageMaker Data Agent helps data teams move from a plain-language request to results faster. In this session, learn how it helps you discover and understand your data, generate and run analysis, build and operationalize data workflows, and connect analytics work through to model development. See how it can take on the repetitive, time-consuming steps of data work so your team can focus on the questions that matter and the decisions that follow. Whether you're exploring a new dataset or building an end-to-end workflow, learn how the Data Agent brings governed, agentic development to every step of your data work.","startDateTime":"2026-12-01T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-01T23:00:00.000Z","endDateTime":"2026-12-02T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1792424881238001aPe7","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726012414202001go8R_17746331reinvent2026","displayName":"Ramesh Harisaran Singh","name":"Ramesh Harisaran Singh","firstName":"Ramesh Harisaran","lastName":"Singh","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Analytics"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Developer / Engineer"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780442259472001c9p2","hash":"3d9b262a416bd2f1c8c0973ed16f30c4","shortId":"AIM201","title":"What's new with the AWS Sustainability service","abstract":"If you've ever wanted to know more about the environmental impact of your cloud usage, this session is for you.  In this lightning talk, learn about the latest features of the AWS Sustainability service, including expanded impact areas beyond carbon, increased data granularity, and programmatic access via APIs. We walk through how to use the service to track progress against your sustainability goals and integrate environmental data into your existing workflows and reporting processes. 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The first version of your model is close to your accuracy needs, but you run into challenges with preparing data and governance. Governed data and models are hard to access, and inconsistent data quality impacts your accuracy. In this session, learn how new SageMaker AI capabilities help solve these challenges.","startDateTime":"2026-12-03T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-03T17:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1793131219129001vxJn","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Machine Learning"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Data Scientist"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":256},{"id":"1780441463206001GAb0","hash":"b84887c3b72f267aa67293b73fdbb838","shortId":"ARC203","title":"What SOA taught us about building agents in production","abstract":"You’ve taken AI agents from prototype to production, and now you own the hard parts: orchestration sprawl, brittle integrations, and behavior hard to test or observe. The patterns that hold up in production look a lot like ones SOA builders already know. This session explores what emerged: multi-agent orchestration mirroring service meshes, tool-use protocols (MCP) formalizing what APIs did for services, evaluation frameworks echoing contract testing, and hard-won lessons about agent observability and trust boundaries. You leave with concrete patterns from the SOA playbook, updated for the agentic era.","startDateTime":"2026-11-30T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025492450001Cj2T","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1725408495526001uvjF_17746331reinvent2026","displayName":"Andrew Baird","name":"Andrew Baird","firstName":"Andrew","lastName":"Baird","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780441478525001GFaR","hash":"bc255e618125eafec831af9fbc5861e6","shortId":"MAM326","title":"What to do next after your cloud migration","abstract":"Rehosting gets workloads to AWS, but that's just the beginning. 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AWS specialists share the decisions and strategy to turn your freshly migrated environment into one worth the investment.","startDateTime":"2026-12-03T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-03T22:30:00.000Z","endDateTime":"2026-12-03T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025547100001CAFc","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1770342594915001F431_17746331reinvent2026","displayName":"Caio Ribeiro Cesar","name":"Caio Ribeiro Cesar","firstName":"Caio","lastName":"Ribeiro Cesar","company":"Amazon Web Services"},{"id":"1733948997322001fSCl_17746331reinvent2026","displayName":"Baruch Waknine","name":"Baruch Waknine","firstName":"Baruch","lastName":"Waknine","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Migration & Modernization"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Customer Enablement"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":140},{"id":"1780442274982001cntq","hash":"be910b6fc6ff354ad60d553b0218bb9a","shortId":"ARC311-R","title":"When agents disagree: Resolving competing goals in cloud operations","abstract":"When two agents manage the same workload, each optimizing a different objective, conflicting actions are the default, not the exception. 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In this session, you build one pillar agent from scratch, configure its context layer, connect it to the consensus flow, and watch shared context resolve a live disagreement without rules or priority overrides.\n\nBring your laptop to participate.","startDateTime":"2026-11-30T20:30:00.000Z","startTime":"12:30","startTimeFormatted":"2026-11-30T20:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790033116853001q9fg","lastModified":"2026-11-04T03:48:38Z","speakers":[{"id":"1764253095518001RN2t_17746331reinvent2026","displayName":"Asal Shams","name":"Asal Shams","firstName":"Asal","lastName":"Shams","company":"AWS"},{"id":"1770349468483001EimP_17746331reinvent2026","displayName":"Storm Manterola Guijt","name":"Storm Manterola Guijt","firstName":"Storm","lastName":"Manterola Guijt","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Step Functions"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Management & Governance"},{"id":"AreaofInterest","displayName":"Well-Architected Framework"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140,"repeats":[{"id":"1790358219452001i4TU","shortId":"ARC311-R1","startDateTime":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","startTime":"15:00","endTime":"17:00","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358219452001i4TU","hash":"3d4fbb3c782e0bd626d37be989876518","shortId":"ARC311-R1","title":"When agents disagree: Resolving competing goals in cloud operations","abstract":"When two agents manage the same workload, each optimizing a different objective, conflicting actions are the default, not the exception. A consensus layer changes the pattern: pillar-aligned agents carry workload goals and live signals as context, reason toward agreement, and produce a single decision playbook before any action executes. In this session, you build one pillar agent from scratch, configure its context layer, connect it to the consensus flow, and watch shared context resolve a live disagreement without rules or priority overrides.\n\nBring your laptop to participate.","startDateTime":"2026-12-02T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790360399644001Aepu","lastModified":"2026-11-06T15:02:10Z","speakers":[{"id":"1764253095518001RN2t_17746331reinvent2026","displayName":"Asal Shams","name":"Asal Shams","firstName":"Asal","lastName":"Shams","company":"AWS"},{"id":"1770349468483001EimP_17746331reinvent2026","displayName":"Storm Manterola Guijt","name":"Storm Manterola Guijt","firstName":"Storm","lastName":"Manterola Guijt","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Step Functions"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Management & Governance"},{"id":"AreaofInterest","displayName":"Well-Architected Framework"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140,"repeats":[{"id":"1780442274982001cntq","shortId":"ARC311-R","startDateTime":"2026-11-30T20:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","startTime":"12:30","endTime":"14:30","day":"Monday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1792170893898001Ij0L","hash":"d18048f2b87350fed6a2ccbfe22b3b0a","shortId":"SEC3308-S","title":"When Agents Go Rogue: Runtime AIDR and MCP Response Workflows on AWS (sponsored by Wiz)","abstract":"The agent is off to work as soon as execution rights are granted. A coding agent in YOLO mode begins searching a developer workstation for secrets to expand its cloud permissions. In this session, discover how to detect and stop rogue or compromised agents at runtime by connecting behavioral detections directly to automated cloud remediation. We’ll break down AI agent threat challenges: intent drift, an expanded blast radius driven by broad runtime permissions, and the shrinking window to respond when a critical zero-day vulnerability emerges. You’ll also see how the Model Context Protocol (MCP) can connect to your security toolchain to build automated response workflow to answer: Are we affected? Are we protected? Through tangible AWS examples, explore key architectural patterns and leave with an actionable checklist for securely building and governing agents in AWS.  This presentation is brought to you by Wiz, an AWS Partner.","startDateTime":"2026-12-03T16:30:00.000Z","startTime":"08:30","startTimeFormatted":"2026-12-03T16:30:00.000Z","endDateTime":"2026-12-03T17:30:00.000Z","endTime":"09:30","sessionTimeId":"1792170935824001e0zN","lastModified":"2026-11-06T01:41:08Z","speakers":[{"id":"1793326265168001Oe5T_17746331reinvent2026","displayName":"Hen Perez","name":"Hen Perez","firstName":"Hen","lastName":"Perez","company":"Wiz"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":278},{"id":"1790358225045001iCCC","hash":"f84ecd96b7ddd1758ee2862262bfa5ea","shortId":"COP405-R1","title":"When agents run code: sandboxes for reliable DevOps ","abstract":"LLMs hallucinate. Code doesn't. When your AI agent investigates a production incident, some answers demand computation, not just reasoning. In this code talk, we crack open the sandbox in AWS DevOps Agent: an ephemeral, investigation-scoped Linux environment where the agent writes and runs code inside a Lambda MicroVM with read-only AWS access and zero lateral blast radius. We'll discuss how networking allowlists, pre-installed packages, and executable skills give you deterministic, auditable results for log parsing, metric correlation, and multi-source analysis. Bring your problems and we'll whiteboard the isolation boundaries live.","startDateTime":"2026-11-30T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790360390823001AyvB","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1762471066216001MMVx_17746331reinvent2026","displayName":"Simon Moore","name":"Simon Moore","firstName":"Simon","lastName":"Moore","company":"AWS"},{"id":"1772748117609001CErI_17746331reinvent2026","displayName":"Chetan Suri","name":"Chetan Suri","firstName":"Chetan","lastName":"Suri","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"AWS DevOps Agent"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":84,"repeats":[{"id":"1780442254259001cWLi","shortId":"COP405-R","startDateTime":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Thursday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442254259001cWLi","hash":"8bf6c2052ab7fbc1db34cbaac08eae43","shortId":"COP405-R","title":"When agents run code: sandboxes for reliable DevOps ","abstract":"LLMs hallucinate. Code doesn't. When your AI agent investigates a production incident, some answers demand computation, not just reasoning. In this code talk, we crack open the sandbox in AWS DevOps Agent: an ephemeral, investigation-scoped Linux environment where the agent writes and runs code inside a Lambda MicroVM with read-only AWS access and zero lateral blast radius. We'll discuss how networking allowlists, pre-installed packages, and executable skills give you deterministic, auditable results for log parsing, metric correlation, and multi-source analysis. Bring your problems and we'll whiteboard the isolation boundaries live.","startDateTime":"2026-12-03T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-03T23:00:00.000Z","endDateTime":"2026-12-04T00:00:00.000Z","endTime":"16:00","sessionTimeId":"1790025548690001Ccj5","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1762471066216001MMVx_17746331reinvent2026","displayName":"Simon Moore","name":"Simon Moore","firstName":"Simon","lastName":"Moore","company":"AWS"},{"id":"1772748117609001CErI_17746331reinvent2026","displayName":"Chetan Suri","name":"Chetan Suri","firstName":"Chetan","lastName":"Suri","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Code talk"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"AWS DevOps Agent"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":84,"repeats":[{"id":"1790358225045001iCCC","shortId":"COP405-R1","startDateTime":"2026-11-30T23:00:00.000Z","endDateTime":"2026-12-01T00:00:00.000Z","startTime":"15:00","endTime":"16:00","day":"Monday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442275279001crJ6","hash":"50806baa6c4ac30ffb94c9e8e1a00c00","shortId":"AIM314-R","title":"When AI agents make high-stakes decisions: Build governance on AWS ","abstract":"When AI agents approve aid applications, triage patients, or allocate resources, failure isn't a bug — it's a harm. In this workshop, build a production governance layer for high-stakes agentic workflows using AWS Step Functions, Amazon Bedrock, and AgentCore. Implement human approval gates that don't kill velocity, audit trails that satisfy regulators, cost budgets with automatic circuit-breakers, and guardrails for consistent enforcement of policies. Test your governance stack against adversarial scenarios. Leave with a deployable framework applicable anywhere AI decisions affect people — social services, healthcare, finance, or government. ","startDateTime":"2026-11-30T16:00:00.000Z","startTime":"08:00","startTimeFormatted":"2026-11-30T16:00:00.000Z","endDateTime":"2026-11-30T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025470820001CvBC","lastModified":"2026-11-05T04:40:08Z","speakers":[{"id":"1727704670133001Ctfi_17746331reinvent2026","displayName":"Sabrina Petruzzo","name":"Sabrina Petruzzo","firstName":"Sabrina","lastName":"Petruzzo","company":"AWS"},{"id":"1737651142104001KPG2_17746331reinvent2026","displayName":"Sophie Bacon","name":"Sophie Bacon","firstName":"Sophie","lastName":"Bacon","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Step Functions"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Tech for Impact"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":112,"repeats":[{"id":"1790358229001001izZR","shortId":"AIM314-R1","startDateTime":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","startTime":"15:00","endTime":"17:00","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358229001001izZR","hash":"608453cd52f8622963dacd6f8c53fe7b","shortId":"AIM314-R1","title":"When AI agents make high-stakes decisions: Build governance on AWS ","abstract":"When AI agents approve aid applications, triage patients, or allocate resources, failure isn't a bug — it's a harm. In this workshop, build a production governance layer for high-stakes agentic workflows using AWS Step Functions, Amazon Bedrock, and AgentCore. Implement human approval gates that don't kill velocity, audit trails that satisfy regulators, cost budgets with automatic circuit-breakers, and guardrails for consistent enforcement of policies. Test your governance stack against adversarial scenarios. Leave with a deployable framework applicable anywhere AI decisions affect people — social services, healthcare, finance, or government. ","startDateTime":"2026-12-02T23:00:00.000Z","startTime":"15:00","startTimeFormatted":"2026-12-02T23:00:00.000Z","endDateTime":"2026-12-03T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790360393522001AZ0j","lastModified":"2026-11-05T17:48:13Z","speakers":[{"id":"1727704670133001Ctfi_17746331reinvent2026","displayName":"Sabrina Petruzzo","name":"Sabrina Petruzzo","firstName":"Sabrina","lastName":"Petruzzo","company":"AWS"},{"id":"1737651142104001KPG2_17746331reinvent2026","displayName":"Sophie Bacon","name":"Sophie Bacon","firstName":"Sophie","lastName":"Bacon","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Step Functions"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Tech for Impact"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":112,"repeats":[{"id":"1780442275279001crJ6","shortId":"AIM314-R","startDateTime":"2026-11-30T16:00:00.000Z","endDateTime":"2026-11-30T18:00:00.000Z","startTime":"08:00","endTime":"10:00","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442273415001c3dr","hash":"4c02fe3993c7d41886b068d1b8e3e01c","shortId":"AIM287-S","title":"When Guardrails Break: Defense in Depth for Non-Deterministic AI (sponsored by Darktrace)","abstract":"Organizations are deploying copilots, agents, and LLM-driven workflows into production faster than governance and security can adapt. This is no longer just “model risk.” Non-deterministic AI opens a new attack surface across prompts, agents, data pipelines, and runtime behavior, while AI itself acts as both defender and adversary. Guardrails and policy controls remain necessary but cannot reliably detect novel behavior, unsafe tool use, or risk that only emerges when AI interacts with identities and systems in context.\n \nThis session presents a defense-in-depth model for securing AI, including a practical blueprint for where foundational controls end. It explains why AI must be treated as both an attack surface and an operational system requiring continuous monitoring and containment, and why behavioral oversight is becoming the decisive layer for securing AI at scale.","startDateTime":"2026-12-01T20:30:00.000Z","startTime":"12:30","startTimeFormatted":"2026-12-01T20:30:00.000Z","endDateTime":"2026-12-01T20:50:00.000Z","endTime":"12:50","sessionTimeId":"1790033117814001qHIJ","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1789762367120001CNmN_17746331reinvent2026","displayName":"Margaret Cunningham","name":"Margaret Cunningham","firstName":"Margaret","lastName":"Cunningham","company":"Darktrace"}],"venueRoomName":"Level 2 | Hall B | Expo | Global Impact Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Tuesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"Identity & Access Management"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1790358218787001indJ","hash":"8921330ed07cb19edfd976acf706b0a0","shortId":"ARC326-R1","title":"When one tenant spikes 100x, your architecture decides who pays","abstract":"One tenant spikes 100x. The architecture either isolates the blast radius or turns it into every tenant's outage. Multi-tenant platforms face four decisions at this boundary. Where to place isolation so one workload cannot starve another. How fan-out creates backpressure that propagates upstream. When fair queuing replaces custom throttling code. What qualifies as real-time versus safely queueable. In this chalk talk you decide where your isolation boundaries belong and what trade-offs each placement creates. Bring your own scaling problem. We draw the architecture together.","startDateTime":"2026-12-02T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790360388648001AHk3","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1740560538594001PASx_17746331reinvent2026","displayName":"Shubhankar Sumar","name":"Shubhankar Sumar","firstName":"Shubhankar","lastName":"Sumar","company":"AWS"},{"id":"1737739459588001Kb0m_17746331reinvent2026","displayName":"Damian Niezgoda","name":"Damian Niezgoda","firstName":"Damian","lastName":"Niezgoda","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Resilience"},{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1780442233443001cJV1","shortId":"ARC326-R","startDateTime":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","startTime":"16:00","endTime":"17:00","day":"Monday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442233443001cJV1","hash":"7905a78a51748e399a243ad9087130f0","shortId":"ARC326-R","title":"When one tenant spikes 100x, your architecture decides who pays","abstract":"One tenant spikes 100x. The architecture either isolates the blast radius or turns it into every tenant's outage. Multi-tenant platforms face four decisions at this boundary. Where to place isolation so one workload cannot starve another. How fan-out creates backpressure that propagates upstream. When fair queuing replaces custom throttling code. What qualifies as real-time versus safely queueable. In this chalk talk you decide where your isolation boundaries belong and what trade-offs each placement creates. Bring your own scaling problem. We draw the architecture together.","startDateTime":"2026-12-01T00:00:00.000Z","startTime":"16:00","startTimeFormatted":"2026-12-01T00:00:00.000Z","endDateTime":"2026-12-01T01:00:00.000Z","endTime":"17:00","sessionTimeId":"1790025496091001CoyO","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1740560538594001PASx_17746331reinvent2026","displayName":"Shubhankar Sumar","name":"Shubhankar Sumar","firstName":"Shubhankar","lastName":"Sumar","company":"AWS"},{"id":"1737739459588001Kb0m_17746331reinvent2026","displayName":"Damian Niezgoda","name":"Damian Niezgoda","firstName":"Damian","lastName":"Niezgoda","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Serverless"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Resilience"},{"id":"AreaofInterest","displayName":"Cost Optimization"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":75,"repeats":[{"id":"1790358218787001indJ","shortId":"ARC326-R1","startDateTime":"2026-12-02T21:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","startTime":"13:30","endTime":"14:30","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442222227001calY","hash":"e1b04e9951b5635d7f3706fcbe1736ea","shortId":"SEC342","title":"When security, speed, and trust all matter: Lessons from Project Glasswing","abstract":"In 2026, a frontier AI model demonstrated it could discover and chain software exploits at machine speed. This new reality forced the industry to confront an entirely new class of offensive capability. In this session, learn how AWS Security's Office of the CISO engaged executive customers and partners to build playbooks to help assess AI-era vulnerability management and remediation. We share the lessons implemented with customers, the internal changes AWS made to operate as a more secure AI-first organization, and practical steps every security team can take now.","startDateTime":"2026-12-03T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025539662001CGO8","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1724448775297001uBOg_17746331reinvent2026","displayName":"Clarke Rodgers","name":"Clarke Rodgers","firstName":"Clarke","lastName":"Rodgers","company":"Amazon Web Services"},{"id":"1725408482672001unzo_17746331reinvent2026","displayName":"Hart Rossman","name":"Hart Rossman","firstName":"Hart","lastName":"Rossman","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":278},{"id":"1780442265981001crq3","hash":"1a7bab1cfa00bed6dc24654d3924ebcd","shortId":"AIM134-S","title":"When Software Builds and Improves Itself (sponsored by Factory)","abstract":"Software is becoming more than something companies build. It is becoming the system through which they improve. The next generation of software factories will turn business signals into production software, measure the outcomes, and use those outcomes to improve each cycle of development. Engineers set the goals, architecture, policies, and approval gates, while the system handles execution and continuously improves itself. Factory cofounder Eno Reyes will share what this future looks like, what has to be true to build it, and why self-improving software will fundamentally change how every company operates. This presentation is brought to you by Factory, an AWS Partner.","startDateTime":"2026-12-02T19:00:00.000Z","startTime":"11:00","startTimeFormatted":"2026-12-02T19:00:00.000Z","endDateTime":"2026-12-02T19:20:00.000Z","endTime":"11:20","sessionTimeId":"1790033120227001qPUs","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venueRoomName":"Level 2 | Hall B | Expo | Builder Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780441487239001GINF","hash":"92230f7eef0ceca25634f59e6f3aa1c4","shortId":"AIM296-S","title":"When tags run out: cost allocation for AI and multi-tenant workloads (sponsored by DoiT)","abstract":"Tag-based allocation works until the resource stops belonging to anyone. A multi-tenant EKS cluster, a shared inference endpoint, a queue five services write to: each lands on the bill once, charged to whoever provisioned it. No amount of tagging discipline fixes that, because there is nothing to tag. This session covers where tag coverage structurally breaks down, and the alternative: measuring the running system to attribute shared spend to the team, feature, and customer that caused it, then reconciling back to the bill so the allocation still foots. Includes what this looks like in production on AWS. This presentation is brought to you by DoiT, an AWS Partner.","startDateTime":"2026-12-02T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-02T19:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025518711001CyXk","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1757014742876001mzcv_17746331reinvent2026","displayName":"Amit Kinha","name":"Amit Kinha","firstName":"Amit","lastName":"Kinha","company":"DoIT International Ltd"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Application Integration"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Administrator"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":116},{"id":"1780441488437001GGhk","hash":"13bbc06251f1a292e37caefe7187761e","shortId":"DVT210-S","title":"When Telemetry Steers the Robot: Observability for Physical AI (sponsored by groundcover)","abstract":"Path Robotics is pushing physical AI beyond the lab into tough industrial environments. Its Obsidian AI model autonomously welds production parts, while Rove brings that intelligence into shipyards on a Boston Dynamics quadruped.\nWhen AI moves into the physical world, observability becomes mission-critical. Built on AWS, Path needs visibility into AI applications, robot motion, and welding arcs, where traditional observability tools fall short.\nIn this session, Path Robotics and groundcover share how they replaced legacy SaaS observability with a BYOC architecture spanning commercial and sovereign environments. groundcover’s eBPF sensor delivers instant visibility into agentic applications and field robotics, providing critical production context. This presentation is brought to you by groundcover, an AWS Partner.","startDateTime":"2026-11-30T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-11-30T18:00:00.000Z","endDateTime":"2026-11-30T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025478012001C9r9","lastModified":"2026-11-06T01:41:08Z","speakers":[{"id":"1791988124108001eluz_17746331reinvent2026","displayName":"Matthew Randle","name":"Matthew Randle","firstName":"Matthew","lastName":"Randle","company":"Path Robotics"},{"id":"1757852204198001LZl0_17746331reinvent2026","displayName":"Noam Levy","name":"Noam Levy","firstName":"Noam","lastName":"Levy","company":"groundcover"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Cost Optimization"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1790358221388001i3vN","hash":"4b85bd4d180239df0eee5d1817563a65","shortId":"ARC202-R","title":"Where do agents fit? 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You'll walk away with a repeatable rubric your teams can adopt immediately to decide whether agency is required in your workflows.","startDateTime":"2026-12-01T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-01T22:30:00.000Z","endDateTime":"2026-12-01T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790360365812001AwvH","lastModified":"2026-11-05T16:31:40Z","speakers":[{"id":"1725408394767001uuF2_17746331reinvent2026","displayName":"Mukund Rao","name":"Mukund Rao","firstName":"Mukund","lastName":"Rao","company":"Amazon Web Services"},{"id":"1725393139665001rAOO_17746331reinvent2026","displayName":"Sushanth Mangalore","name":"Sushanth Mangalore","firstName":"Sushanth","lastName":"Mangalore","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780442233886001cc67","shortId":"ARC202-R1","startDateTime":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","startTime":"10:00","endTime":"11:00","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}},{"id":"1790358254147001iOyq","shortId":"ARC202-R2","startDateTime":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","startTime":"10:00","endTime":"11:00","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1780442233886001cc67","hash":"ee43609a06b11179509324742511a785","shortId":"ARC202-R1","title":"Where do agents fit? 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You'll walk away with a repeatable rubric your teams can adopt immediately to decide whether agency is required in your workflows.","startDateTime":"2026-12-02T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790025515174001CbeV","lastModified":"2026-11-05T16:31:02Z","speakers":[{"id":"1725408394767001uuF2_17746331reinvent2026","displayName":"Mukund Rao","name":"Mukund Rao","firstName":"Mukund","lastName":"Rao","company":"Amazon Web Services"},{"id":"1725393139665001rAOO_17746331reinvent2026","displayName":"Sushanth Mangalore","name":"Sushanth Mangalore","firstName":"Sushanth","lastName":"Mangalore","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78,"repeats":[{"id":"1790358221388001i3vN","shortId":"ARC202-R","startDateTime":"2026-12-01T22:30:00.000Z","endDateTime":"2026-12-01T23:30:00.000Z","startTime":"14:30","endTime":"15:30","day":"Tuesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}},{"id":"1790358254147001iOyq","shortId":"ARC202-R2","startDateTime":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","startTime":"10:00","endTime":"11:00","day":"Thursday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}}]},{"id":"1790358254147001iOyq","hash":"c0086dfc5868a31b3b47f6c61034cac3","shortId":"ARC202-R2","title":"Where do agents fit? 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You'll walk away with a repeatable rubric your teams can adopt immediately to decide whether agency is required in your workflows.","startDateTime":"2026-12-03T18:00:00.000Z","startTime":"10:00","startTimeFormatted":"2026-12-03T18:00:00.000Z","endDateTime":"2026-12-03T19:00:00.000Z","endTime":"11:00","sessionTimeId":"1790360366287001AJci","lastModified":"2026-11-05T16:30:50Z","speakers":[{"id":"1725408394767001uuF2_17746331reinvent2026","displayName":"Mukund Rao","name":"Mukund Rao","firstName":"Mukund","lastName":"Rao","company":"Amazon Web Services"},{"id":"1725393139665001rAOO_17746331reinvent2026","displayName":"Sushanth Mangalore","name":"Sushanth Mangalore","firstName":"Sushanth","lastName":"Mangalore","company":"AWS"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1790358221388001i3vN","shortId":"ARC202-R","startDateTime":"2026-12-01T22:30:00.000Z","endDateTime":"2026-12-01T23:30:00.000Z","startTime":"14:30","endTime":"15:30","day":"Tuesday","venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"}},{"id":"1780442233886001cc67","shortId":"ARC202-R1","startDateTime":"2026-12-02T18:00:00.000Z","endDateTime":"2026-12-02T19:00:00.000Z","startTime":"10:00","endTime":"11:00","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442275094001c8KG","hash":"8bc0991ac505bd3550d64153fa856ff1","shortId":"ARC315-R","title":"Where embeddings live: Designing production retrieval on AWS","abstract":"Where should vector embeddings live? In your operational database, a dedicated vector store, or across several? In this session you evaluate the trade-offs across latency, data freshness, cost, and retrieval quality. You implement the same retrieval pattern across three engines: Amazon OpenSearch Service for combined lexical and vector search, Amazon Aurora PostgreSQL with pgvector for SQL-native filtered retrieval, and Amazon S3 Vectors for cost-optimized scale. You learn the workload patterns these engines handle best, so you can tell where a single store is enough and where a hybrid architecture pays off. You leave able to answer where your embeddings should live, backed by patterns you built yourself. Bring your laptop to participate.","startDateTime":"2026-11-30T20:30:00.000Z","startTime":"12:30","startTimeFormatted":"2026-11-30T20:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790033113634001qFVz","lastModified":"2026-10-31T03:30:34Z","speakers":[{"id":"1726795454156001Ama4_17746331reinvent2026","displayName":"Amee Shah","name":"Amee Shah","firstName":"Amee","lastName":"Shah","company":"Amazon Web Services"},{"id":"1770344007360001Gzz6_17746331reinvent2026","displayName":"Harshil Shah","name":"Harshil Shah","firstName":"Harshil","lastName":"Shah","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Aurora"},{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140,"repeats":[{"id":"1790358237168001icNH","shortId":"ARC315-R1","startDateTime":"2026-12-02T20:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","startTime":"12:30","endTime":"14:30","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358237168001icNH","hash":"20b0b123a38894af0347a606a170fc27","shortId":"ARC315-R1","title":"Where embeddings live: Designing production retrieval on AWS","abstract":"Where should vector embeddings live? In your operational database, a dedicated vector store, or across several? In this session you evaluate the trade-offs across latency, data freshness, cost, and retrieval quality. You implement the same retrieval pattern across three engines: Amazon OpenSearch Service for combined lexical and vector search, Amazon Aurora PostgreSQL with pgvector for SQL-native filtered retrieval, and Amazon S3 Vectors for cost-optimized scale. You learn the workload patterns these engines handle best, so you can tell where a single store is enough and where a hybrid architecture pays off. You leave able to answer where your embeddings should live, backed by patterns you built yourself. Bring your laptop to participate.","startDateTime":"2026-12-02T20:30:00.000Z","startTime":"12:30","startTimeFormatted":"2026-12-02T20:30:00.000Z","endDateTime":"2026-12-02T22:30:00.000Z","endTime":"14:30","sessionTimeId":"1790360403012001A684","lastModified":"2026-11-06T04:02:53Z","speakers":[{"id":"1726795454156001Ama4_17746331reinvent2026","displayName":"Amee Shah","name":"Amee Shah","firstName":"Amee","lastName":"Shah","company":"Amazon Web Services"},{"id":"1770344007360001Gzz6_17746331reinvent2026","displayName":"Harshil Shah","name":"Harshil Shah","firstName":"Harshil","lastName":"Shah","company":"Amazon Web Services"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Aurora"},{"id":"Services","displayName":"Amazon Simple Storage Service (Amazon S3)"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"Data Scientist"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140,"repeats":[{"id":"1780442275094001c8KG","shortId":"ARC315-R","startDateTime":"2026-11-30T20:30:00.000Z","endDateTime":"2026-11-30T22:30:00.000Z","startTime":"12:30","endTime":"14:30","day":"Monday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1790358250413001iZPI","hash":"81c4957f94b3493d2441acd4148d4916","shortId":"COP322-R1","title":"Where's the slowdown? Build observability from frontend to databases","abstract":"When an application slows down, the cause can hide anywhere from the frontend to the database, and siloed tools make teams guess. In this workshop, you will build full-stack observability across application, infrastructure, and database layers, bringing RDS and Aurora signals and database logs into one store and correlating them with audit activity. You decide what to trace and build the dashboards that connect a symptom to its root cause. Leave with skills to trace any slowdown across layers in a single pane.","startDateTime":"2026-12-02T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-12-02T23:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","endTime":"17:30","sessionTimeId":"1790360403108001AqOt","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1726800747643001kkJb_17746331reinvent2026","displayName":"Samir Behara","name":"Samir Behara","firstName":"Samir","lastName":"Behara","company":"Amazon Web Services (AWS)"},{"id":"1725408450358001ubuO_17746331reinvent2026","displayName":"Sasi Kiran Malladi","name":"Sasi Kiran Malladi","firstName":"Sasi Kiran","lastName":"Malladi","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Aurora"},{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"Amazon Relational Database Service (Amazon RDS)"}],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140,"repeats":[{"id":"1780442277331001ckcW","shortId":"COP322-R","startDateTime":"2026-11-30T20:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","startTime":"12:00","endTime":"14:00","day":"Monday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442277331001ckcW","hash":"6c064b5be6d0397b3081eb5492dc312f","shortId":"COP322-R","title":"Where's the slowdown? Build observability from frontend to databases","abstract":"When an application slows down, the cause can hide anywhere from the frontend to the database, and siloed tools make teams guess. In this workshop, you will build full-stack observability across application, infrastructure, and database layers, bringing RDS and Aurora signals and database logs into one store and correlating them with audit activity. You decide what to trace and build the dashboards that connect a symptom to its root cause. Leave with skills to trace any slowdown across layers in a single pane.","startDateTime":"2026-11-30T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-11-30T20:00:00.000Z","endDateTime":"2026-11-30T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790951438260001HQr3","lastModified":"2026-11-06T10:44:46Z","speakers":[{"id":"1726800747643001kkJb_17746331reinvent2026","displayName":"Samir Behara","name":"Samir Behara","firstName":"Samir","lastName":"Behara","company":"Amazon Web Services (AWS)"},{"id":"1725408450358001ubuO_17746331reinvent2026","displayName":"Sasi Kiran Malladi","name":"Sasi Kiran Malladi","firstName":"Sasi Kiran","lastName":"Malladi","company":"AWS"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Monday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Aurora"},{"id":"Services","displayName":"Amazon CloudWatch"},{"id":"Services","displayName":"Amazon Relational Database Service (Amazon RDS)"}],"topics":[{"id":"Topic","displayName":"Cloud Operations"},{"id":"Topic","displayName":"Databases"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Automation"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":84,"repeats":[{"id":"1790358250413001iZPI","shortId":"COP322-R1","startDateTime":"2026-12-02T23:30:00.000Z","endDateTime":"2026-12-03T01:30:00.000Z","startTime":"15:30","endTime":"17:30","day":"Wednesday","venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"}}]},{"id":"1780442235071001cQ5J","hash":"f57e8fbffc2be471ededf7dbd146eb24","shortId":"AIM362","title":"Which customization compute? A decision approach for model fine-tuning","abstract":"Off-the-shelf models work for prototyping, but production forces a choice: which technique and which compute to use. In this chalk talk, we work through the decision framework live, covering when to start fine-tuning after you've pushed the limits of in-context learning and which fine-tuning technique to use. Learn how to choose among Amazon SageMaker AI serverless model customization, training sessions, training jobs, and Amazon SageMaker HyperPod based on your traffic, budget, and control needs. We'll demo supervised fine-tuning (SFT) on SageMaker AI and use it to help you choose the right compute. Bring your questions.","startDateTime":"2026-12-01T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-12-01T22:30:00.000Z","endDateTime":"2026-12-01T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790025505697001CWTh","lastModified":"2026-11-02T07:03:21Z","speakers":[{"id":"1725555763762001mpqN_17746331reinvent2026","displayName":"Kanwaljit Khurmi","name":"Kanwaljit Khurmi","firstName":"Kanwaljit","lastName":"Khurmi","company":"AMAZON WEB SERVICES INC"},{"id":"1725640525762001EJJI_17746331reinvent2026","displayName":"Jason Berkowitz","name":"Jason Berkowitz","firstName":"Jason","lastName":"Berkowitz","company":"Amazon Web Services"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Tuesday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon SageMaker AI"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":78},{"id":"1780441488262001Gib8","hash":"d9035cafd7158bcae8bff20f9568d167","shortId":"DVT223-S","title":"Who Checks the Agents? Quality and Governance for the Agentic SDLC (sponsored by Qodo)","abstract":"Agents now plan work, write code, generate tests and open PRs—sometimes without human review before production. Yet most teams rely on a trust model built for a slower SDLC: one reviewer, one merge gate and one chance to catch what went wrong. That model fails when agents operate at every stage and final review can’t reveal what happened upstream. This session treats trust as a property of the pipeline, not a final checkpoint. We’ll explore why the system generating code shouldn’t also verify it, how to turn tribal standards into enforceable, auditable controls, and where independent review belongs between spec and deploy. Key takeaways: Why end-stage review fails in an agent-driven SDLC. How to enforce and trace standards across teams, repos and AI tools. How to decide what can merge automatically, what needs human review and how to document that decision for auditors. This presentation is brought to you by Qodo, an AWS Partner.","startDateTime":"2026-11-30T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-11-30T17:00:00.000Z","endDateTime":"2026-11-30T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1791224101801001bfQb","lastModified":"2026-10-30T21:40:30Z","speakers":[],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Agentic AI"},{"id":"AreaofInterest","displayName":"DevOps"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"IT Professional / Technical Manager"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":212},{"id":"1780441484920001GIKH","hash":"928ff354fad4263860037039d487fad9","shortId":"SEC231-S","title":"Who’s Pulling the Strings? Securing GitHub from Rogue AI Agents (sponsored by Zscaler)","abstract":"With the rise of autonomous AI agents like Devin, Cursor, and Amazon Q, the security boundary has shifted from the network perimeter directly to the developer's workspace. These AI tools and automated integration pipelines establish dynamic, encrypted connections straight to GitHub, third-party repositories, and cloud workloads—creating blind spots that legacy firewalls cannot see. Join us as we map out this highly interconnected AI developer ecosystem and showcase why traditional security fails. We will share a unified, proxy-based Zero Trust architecture that inspects encrypted developer traffic, secures access to critical repositories, and isolates untrusted AI actions. You’ll leave with an actionable blueprint to protect your code, APIs, and AI integrations while maintaining peak developer velocity. This presentation is brought to you by Zscaler, an AWS Partner.","startDateTime":"2026-11-30T22:30:00.000Z","startTime":"14:30","startTimeFormatted":"2026-11-30T22:30:00.000Z","endDateTime":"2026-11-30T23:30:00.000Z","endTime":"15:30","sessionTimeId":"1790034533439001pkve","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1732655893830001knaf_17746331reinvent2026","displayName":"Mrigank Singh","name":"Mrigank Singh","firstName":"Mrigank","lastName":"Singh","company":"ZScaler Inc."}],"venueRoomName":"Level 2 | Ballroom F | Content Hub | Purple Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Monday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Network & Infrastructure Security"},{"id":"AreaofInterest","displayName":"Zero Trust"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":120},{"id":"1780442270570001cRJu","hash":"1dea84f4ef831a680db2948cd9d8e849","shortId":"AIM2207-S","title":"Who's Your Security MVP? Here's How AI Ranks Them (sponsored by Trellix)","abstract":"Yeah, yeah, AI SOC, we get it. But what really goes into getting wins out of AI in security vs saving a couple of clicks? This talk will show the importance of small (dumb) LLM's and how they create opportunities for secops by allowing you to use more tokens, anywhere you want. It will demo how you can go beyond enriching a few alerts to stack rank your most valuable security tools in an ROI thunderdome. You'll learn the AI confidence guardrail framework you need so you to actually start taking actions on your behalf without accidentally deleting all your VM's when you asked it to \"eliminate all vulnerabilities.\" Seeing is believing, so there will be real-world demos of where AI works, where it doesn't, and why--bring your 3D glasses. This presentation is brought to you by Trellix, an AWS Partner.","startDateTime":"2026-12-02T23:30:00.000Z","startTime":"15:30","startTimeFormatted":"2026-12-02T23:30:00.000Z","endDateTime":"2026-12-02T23:50:00.000Z","endTime":"15:50","sessionTimeId":"1790033118969001qHSM","lastModified":"2026-11-04T19:58:33Z","speakers":[{"id":"1719150813327001Mefp_17746331reinvent2026","displayName":"Martin Holste","name":"Martin Holste","firstName":"Martin","lastName":"Holste","company":"Trellix"}],"venueRoomName":"Level 2 | Hall B | Expo | Global Impact Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Wednesday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"AWS Marketplace"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"DevSecOps"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Data Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1780441467176001GY4d","hash":"6af45284ecf29722c9e15f625c113251","shortId":"COM305","title":"Why Enterprise RAG Fails: Document AI and  Ontology Patterns on AWS","abstract":"Most teams blame embeddings, vector databases, or foundation models when RAG systems underperform. In practice, failures often originate earlier in the pipeline where business meaning is lost during document ingestion. This session explores production Document AI patterns on AWS, including layout-aware extraction, ontology-driven classification, semantic chunking, metadata enrichment, and retrieval optimization. Using financial services examples, we demonstrate how domain ontologies improve extraction accuracy, retrieval relevance, and explainability. Attendees will learn practical architecture patterns, implementation tradeoffs, and a framework for building scalable, trustworthy RAG systems for enterprise workloads.","startDateTime":"2026-12-03T17:00:00.000Z","startTime":"09:00","startTimeFormatted":"2026-12-03T17:00:00.000Z","endDateTime":"2026-12-03T18:00:00.000Z","endTime":"10:00","sessionTimeId":"1790025533027001CG1U","lastModified":"2026-11-02T19:35:31Z","speakers":[{"id":"1720351248335001PUWh_17746331reinvent2026","displayName":"Bhuvaneswari Subramani","name":"Bhuvaneswari Subramani","firstName":"Bhuvaneswari","lastName":"Subramani","company":"Intuitive.ai"},{"id":"1731024320186001r4d2_17746331reinvent2026","displayName":"Ayyanar Jeyakrishnan","name":"Ayyanar Jeyakrishnan","firstName":"Ayyanar","lastName":"Jeyakrishnan","company":"WellsFargo"},{"id":"1749097850313001sPRG_17746331reinvent2026","displayName":"Vivek Raja P S","name":"Vivek Raja P S","firstName":"Vivek","lastName":"Raja P S","company":"Aivar Innovations"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"Amazon OpenSearch Service"},{"id":"Services","displayName":"Amazon Textract"}],"topics":[{"id":"Topic","displayName":"Architecture"},{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Governance, Risk & Compliance"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Advisor / Consultant"},{"id":"Role","displayName":"IT Executive"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Community-led"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780441489356001GA6l","hash":"b393a54a5221bf913e3eb56faf38d53e","shortId":"AIM263-S","title":"Why Multi-Agent Systems Fail in Production (And How to Fix It) (sponsored by MongoDB)","abstract":"Most AI agents don't fall apart in production because the model isn't smart enough. They fail because state is fragmented: one agent can't see what another already learned, and nobody can reconstruct what was retrieved, decided, or handed off. In a multi-tenant setting, that's a governance problem, not just a debugging one. This session shows an architecture that fixes it by giving every layer a clear job: Amazon Bedrock AgentCore manages session context and end-to-end tracing, MongoDB Atlas handles durable memory, tenant-aware vector search, and audit history, and the MongoDB MCP Server connects the two so access stays governed. You'll watch agents share state, retrieve tenant-scoped data, and leave a replayable decision trail. Leave with a reference architecture for multi-agent state sharing and a model for what audit-ready really looks like. A MongoDB & AWS technical session. This presentation is brought to you by MongoDB, an AWS Partner.","startDateTime":"2026-12-02T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-02T19:30:00.000Z","endDateTime":"2026-12-02T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790025518918001CQKG","lastModified":"2026-11-04T22:20:20Z","speakers":[{"id":"1792445922832001X6Zs_17746331reinvent2026","displayName":"Nina Lopatina","name":"Nina Lopatina","firstName":"Nina","lastName":"Lopatina","company":"MongoDB"},{"id":"1730317336792001pIVN_17746331reinvent2026","displayName":"Lydia Eichelberg","name":"Lydia Eichelberg","firstName":"Lydia","lastName":"Eichelberg","company":"MongoDB"}],"venue":{"id":"MGM_Grand","displayName":"MGM Grand"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[{"id":"Services","displayName":"Amazon Bedrock"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Developer Tools"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Generative AI"},{"id":"AreaofInterest","displayName":"Innovation & Transformation"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":162},{"id":"1791492157931001UyDn","hash":"7528a449b9f709a26846407c21019b5d","shortId":"SUP103","title":"Winning enterprise customers with AWS Global Startup Program","abstract":"The AWS Global Startup Program helps startups win and expand enterprise accounts. This session covers how the program drives growth for startups moving into enterprise customers, the resources and support it provides, and how founders can tap into it to accelerate their own path to winning and expanding enterprise business.","startDateTime":"2026-12-03T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-03T20:00:00.000Z","endDateTime":"2026-12-03T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1793659420107001Nxxm","lastModified":"2026-11-06T01:28:59Z","speakers":[{"id":"1723992043889001Y7SI_17746331reinvent2026","displayName":"Meiran Galis","name":"Meiran Galis","firstName":"Meiran","lastName":"Galis","company":"Scytale"},{"id":"1726510652566001Ji4M_17746331reinvent2026","displayName":"Matt Nagle","name":"Matt Nagle","firstName":"Matt","lastName":"Nagle","company":"AWS"},{"id":"1732755551826001UqPD_17746331reinvent2026","displayName":"Josh Epstein","name":"Josh Epstein","firstName":"Josh","lastName":"Epstein","company":"Coder"}],"venueRoomName":"Level 1 | Forum Event Plaza | Startup Plaza Theater","venue":{"id":"Caesars_Forum","displayName":"Caesars Forum"},"day":"Thursday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"100 – Foundational","value":100},"services":[],"topics":[{"id":"Topic","displayName":"Business Agents"},{"id":"Topic","displayName":"Industry Solutions"}],"areaOfInterest":[],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"Entrepreneur (Founder/Co-Founder)"},{"id":"Role","displayName":"Sales / Marketing"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":70},{"id":"1780442283606001cnI8","hash":"377d0d2feda299cc772d9aab334ac017","shortId":"SEC401","title":"Winning the DDoS Game: defend your app under real-time attack","abstract":"Compete in a team-based environment where you face real-time threats aimed at your web application. Use the latest capabilities in AWS WAF and AWS Shield to mitigate HTTP floods, web exploits, and malicious bots that disrupt your customers. This risk-free event puts teamwork to the test as you work under pressure. Watch a real-time scoreboard as your team works through each level. Whether it's volumetric attacks or the new wave of AI-driven traffic hitting your APIs, you'll leave prepared to defend against what's coming next. The most effective team earns a prize!","startDateTime":"2026-12-03T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-03T20:00:00.000Z","endDateTime":"2026-12-03T22:00:00.000Z","endTime":"14:00","sessionTimeId":"1790033116046001qagV","lastModified":"2026-11-02T10:55:22Z","speakers":[{"id":"1740503779278001Paks_17746331reinvent2026","displayName":"Julian Garcia","name":"Julian Garcia","firstName":"Julian","lastName":"Garcia","company":"AWS"},{"id":"1724949732100001Kfk6_17746331reinvent2026","displayName":"Jonathan Woods","name":"Jonathan Woods","firstName":"Jonathan","lastName":"Woods","company":"Amazon Web Services (AWS)"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Workshop"},"level":{"id":"Level","displayName":"400 – Expert","value":400},"services":[{"id":"Services","displayName":"AWS Firewall Manager"},{"id":"Services","displayName":"AWS Shield"},{"id":"Services","displayName":"AWS WAF"}],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Edge Computing"},{"id":"AreaofInterest","displayName":"Resilience"},{"id":"AreaofInterest","displayName":"Threat Detection & Incident Response"}],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Hands-on"}],"seatCapacity":140},{"id":"1780442267221001csgd","hash":"3680d2d5d69123f714997612ecb7f313","shortId":"IND211-S","title":"Winning the War on Fraud with Network-Powered Intelligence (sponsored by Vonage, Part of Ericsson)","abstract":"Fraud is winning. SIM swaps have surged over 1,000%; synthetic identity cases are up 60% year-over-year, legacy OTP defenses are structurally broken — and fraudsters know it. Every industry feels it. Banks, healthcare providers, retailers, rideshare and delivery platforms, all fighting the same battle, all demanding the same answer: security that doesn't sacrifice the customer experience. As the first and only communications and Network API provider to achieve the AWS Financial Services Industry Competency, Vonage is changing the equation. Discover how enterprises are moving to a model where identity is verified silently at the network layer, before fraud happens. Built on AWS, powered by direct carrier intelligence. 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See how CloudWatch Omni addresses each, and leave with agent development techniques, reference architectures for agentic observability, and ways to optimize observability with OpenTelemetry.","startDateTime":"2026-12-02T20:00:00.000Z","startTime":"12:00","startTimeFormatted":"2026-12-02T20:00:00.000Z","endDateTime":"2026-12-02T21:00:00.000Z","endTime":"13:00","sessionTimeId":"1790025520581001C8Fk","lastModified":"2026-11-06T01:28:59Z","speakers":[{"id":"1720273175461001DpD0_17746331reinvent2026","displayName":"Kimberlee Otto","name":"Kimberlee Otto","firstName":"Kimberlee","lastName":"Otto","company":"3M Company"},{"id":"1725408386858001ue11_17746331reinvent2026","displayName":"Imaya Kumar Jagannathan","name":"Imaya Kumar Jagannathan","firstName":"Imaya Kumar","lastName":"Jagannathan","company":"AWS"},{"id":"1725408387540001u3LS_17746331reinvent2026","displayName":"Nikhil Kapoor","name":"Nikhil Kapoor","firstName":"Nikhil","lastName":"Kapoor","company":"AWS"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Wednesday","type":{"id":"Type","displayName":"Breakout session"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon CloudWatch"}],"topics":[{"id":"Topic","displayName":"Cloud Operations"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Monitoring & Observability"},{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Developer / Engineer"},{"id":"Role","displayName":"DevOps Engineer"},{"id":"Role","displayName":"Solution / Systems Architect"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":100},{"id":"1780441486679001Gssl","hash":"8da23d775957ab2d53235101a88b9db8","shortId":"BIZ211-S","title":"You cannot write the eval for a failure you have not seen yet (sponsored by Arize AI)","abstract":"LLM-as-a-judge works beautifully when you already know what you're looking for. You write the rubric, validate it against human labels, and it catches the failure you designed it to catch. But agents in production don't fail the way you anticipated. They fail as they meet new tools, new users, and environments that shifted underneath them, and every new failure arrives after the rubric was written. This talk argues the evaluation layer itself must become agentic. Instead of specifying a metric, you describe the behavior you want, and a judge with tool access inspects the trace, finds the spans that matter, classifies what went wrong, and generates labels you can monitor against. We'll cover why this became viable only recently, where it fails, and how to keep an agentic judge honest against human labels, so you know when to reach for one and how to validate it. 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This presentation is brought to you by Datadog, an AWS Partner.","startDateTime":"2026-12-03T21:30:00.000Z","startTime":"13:30","startTimeFormatted":"2026-12-03T21:30:00.000Z","endDateTime":"2026-12-03T21:50:00.000Z","endTime":"13:50","sessionTimeId":"1791214081856001usAS","lastModified":"2026-11-04T20:31:10Z","speakers":[{"id":"1728037789355001dSqV_17746331reinvent2026","displayName":"Andrew Krug","name":"Andrew Krug","firstName":"Andrew","lastName":"Krug","company":"Datadog"}],"venue":{"id":"Wynn/Encore","displayName":"Wynn/Encore"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[],"topics":[{"id":"Topic","displayName":"Security & Identity"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Application Security"},{"id":"AreaofInterest","displayName":"Culture of Security"}],"industry":[],"role":[{"id":"Role","displayName":"Cloud Security Specialist"}],"features":[{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":80},{"id":"1780441489175001Gjf8","hash":"3b61aa67b51749f37aed7d4cbf94abad","shortId":"SEC378-S","title":"Your agent wants a bigger job: The next era of agents at work (sponsored by OpenAI)","abstract":"What would you make AI responsible for if it could work across days, teams, and business systems? Drawing on lessons from inside OpenAI, explore how agents can expand the work your organization takes on. Learn how OpenAI’s frontier models, agent runtimes, and connectors bring intelligence and organizational context together, enabling agents to act as coworkers and collaborate across teams and functions. See how dots and Bedrock Managed Agents for OpenAI can take on bigger jobs. 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Observability tells them what is happening. The harder question is how they decide. What is an action worth, and what should an agent optimize for? The intersection of Agentic AIOps and FinOps answers both. The result is a blueprint for business-aware autonomous operations, and three practical steps to apply it in your own environment. This presentation is brought to you by ManageEngine, an AWS Partner.","startDateTime":"2026-12-02T19:00:00.000Z","startTime":"11:00","startTimeFormatted":"2026-12-02T19:00:00.000Z","endDateTime":"2026-12-02T19:20:00.000Z","endTime":"11:20","sessionTimeId":"1790033118453001qZfD","lastModified":"2026-10-30T21:40:30Z","speakers":[{"id":"1729149033518001l6EE_17746331reinvent2026","displayName":"Ananthkumar KS","name":"Ananthkumar KS","firstName":"Ananthkumar","lastName":"KS","company":"Zoho Corporation Pvt. 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Come see what it takes to make your AI as multiplayer as your business already is.","startDateTime":"2026-12-03T22:00:00.000Z","startTime":"14:00","startTimeFormatted":"2026-12-03T22:00:00.000Z","endDateTime":"2026-12-03T22:20:00.000Z","endTime":"14:20","sessionTimeId":"1793628689547001PAz1","lastModified":"2026-11-04T18:09:27Z","speakers":[],"venueRoomName":"Level 2 | Hall B | Expo | Partner Advantage Theater","venue":{"id":"Venetian","displayName":"Venetian"},"day":"Thursday","type":{"id":"Type","displayName":"Lightning talk"},"level":{"id":"Level","displayName":"200 – Intermediate","value":200},"services":[],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"},{"id":"Topic","displayName":"Business Agents"}],"areaOfInterest":[{"id":"AreaofInterest","displayName":"Agentic AI"}],"industry":[],"role":[{"id":"Role","displayName":"Business Executive"},{"id":"Role","displayName":"IT Executive"}],"features":[{"id":"Features","displayName":"AWS Partners"},{"id":"Features","displayName":"Lecture-style"}],"seatCapacity":50},{"id":"1790358251994001iP55","hash":"8dc9b141dd7632a1bf71910bee4c6168","shortId":"AIM363-R1","title":"Your data is your AI advantage: From foundation to business value","abstract":"Your AI is only as good as the data underneath it. Most teams treat data preparation and model serving as separate problems, then wonder why costs spike and quality drops at scale. This chalk talk connects the two. We whiteboard how to design governed data products that feed customization, inference on Amazon Bedrock and Amazon SageMaker AI, and agent workloads on Amazon Bedrock AgentCore. Then apply cost levers like prompt caching, distillation, and batch inference that compound when built on clean, governed data. You leave with the design decisions that let you scale AI with confidence and control.","startDateTime":"2026-12-03T19:30:00.000Z","startTime":"11:30","startTimeFormatted":"2026-12-03T19:30:00.000Z","endDateTime":"2026-12-03T20:30:00.000Z","endTime":"12:30","sessionTimeId":"1790360366378001A1Oe","lastModified":"2026-11-02T19:35:31Z","speakers":[{"id":"1732614628540001EvoP_17746331reinvent2026","displayName":"Anastasia Tzeveleka","name":"Anastasia Tzeveleka","firstName":"Anastasia","lastName":"Tzeveleka","company":"Amazon Web Services"},{"id":"1726612474853001mE0u_17746331reinvent2026","displayName":"Ram Vittal","name":"Ram Vittal","firstName":"Ram","lastName":"Vittal","company":"Amazon"}],"venue":{"id":"Caesars_Palace","displayName":"Caesars Palace"},"day":"Thursday","type":{"id":"Type","displayName":"Chalk talk"},"level":{"id":"Level","displayName":"300 – Advanced","value":300},"services":[{"id":"Services","displayName":"Amazon Bedrock"},{"id":"Services","displayName":"AWS Trainium"},{"id":"Services","displayName":"Amazon SageMaker AI"}],"topics":[{"id":"Topic","displayName":"Artificial Intelligence"}],"areaOfInterest":[],"industry":[],"role":[],"features":[{"id":"Features","displayName":"Discussion"}],"seatCapacity":70,"repeats":[{"id":"1780442235120001cMLs","shortId":"AIM363-R","startDateTime":"2026-12-02T17:00:00.000Z","endDateTime":"2026-12-02T18:00:00.000Z","startTime":"09:00","endTime":"10:00","day":"Wednesday","venue":{"id":"MGM_Grand","displayName":"MGM Grand"}}]},{"id":"1780442235120001cMLs","hash":"0008310fa70f7ee88a926e804b3cd5c5","shortId":"AIM363-R","title":"Your data is your AI advantage: From foundation to business value","abstract":"Your AI is only as good as the data underneath it. 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