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This video introduces new code security scanning capabilities in Amazon Inspector. Learn how Amazon Inspector helps secure applications before production through automated vulnerability scanning of source code, dependencies, and infrastructure as code. Discover how native integration with GitHub and GitLab enables consistent vulnerability management from code to cloud, providing both organization-wide visibility and rapid developer feedback. For more information, visit https://go.

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Discover why memory architecture is the foundation of intelligent AI agents. This session explores how short-term and long-term memory transform stateless chatbots into adaptive, context-aware systems that learn from interactions and deliver measurable business outcomes with implementation examples including Amazon Bedrock AgentCore. - Mark Cliffe, Chief Engineering Officer, Fintua; - Venkatesh Periyathambi, Principal Data SA, AWS.

Modern applications combine AI agents with traditional software components, creating hybrid systems requiring unified monitoring. This session demonstrates using Amazon CloudWatch to observe your complete application stack—from AI agent decision-making and behavior patterns to traditional infrastructure metrics like CPU and memory usage.

AI code generation is fast. Your ability to validate and ship it? Probably in need of an upgrade. Join Michael Webster, Principal Engineer at CircleCI, to learn about CircleCI’s AI engineering team’s experience deploying AI agents and coding assistants. Discover why 10x output is overwhelming traditional DevOps, which patterns unlock velocity without chaos, and why the solution isn't more tooling complexity, but smarter abstractions that make AI-generated code safer to ship.

Dive into the "AI multiverse" with AWS Executives in Residence Jake Burns and Tom Soderstrom as they explore why some organizations are seeing massive productivity gains with agentic AI while others struggle to see value. Drawing from their extensive enterprise experience, they reveal how treating AI agents like human team members - with clear specifications, iterative feedback, and proper context - can unlock unprecedented productivity gains that far exceed the reported 30% improvements.

In this video, AWS Developer Advocate, Darko Mesaros, and Startree Solutions Engineer, Tyler Denton walk you through how you can use Apache Pinot, Amazon Kinesis, & Amazon Bedrock to manage high volumes of data for faster anomaly detection. Plus, they add in some real-time, AI-driven solution suggestions for their Internet of Things device setup. In this example, Darko & Tyler walk you through the architecture diagram, then dive into a hands-on demo to show you how it works.

AWS Graviton-based Amazon EC2 instances provide the best price performance for workloads in Amazon EC2. In this session, dive deep into the AWS Graviton processor and learn about its workload performance, energy efficiency, and software offerings. Learn about common use cases, best practices to optimize your workloads across various applications, customer success stories, and how you can accelerate your AWS Graviton journey. Learn more: More AWS events: https://go.

Discover what it takes to compete at the highest level in the sporting world in this honest conversation with Jess Corones, General Manager of Performance Support and Olympic Campaign at Swimming Australia. Fresh from Australia's success at the Paris Olympics, Corones shares powerful insights on building high-performance cultures, managing team dynamics in pressure- filled environments, and leading with empathy while maintaining high standards.

How should your security practice adjust to handle the increasing volume of solutions your builders are creating with the help of AI? What should you do as threat actors leverage the very same tooling to reduce the cost of their attacks? Join AWS VP & CISO, Amy Herzog as she explores the answer to these questions. You’ll learn about the architectural choices and technical tradeoffs you will face as you adapt how you approach security in your business.

Want to learn the best way to test your GenAI applications as you build? Drop a 🚗 emoji in the comments! Join Steph Gooch and Ryan French as they look at the project with BMW that kicked off this idea and the tool that the PACE team made to speed up your testing! They look at why testing you GeAI Application is important, what tests to use and demo the GenAI toolkit https://github.com/awslabs/generative-ai-toolkit?trk=f90004aa-b866-47ba-9668-94b16f71e694&sc_channel=sm

AI and agents are disrupting SaaS, but this session will show you how to turn disruption into growth. In just five steps, we’ll demonstrate how to build an enterprise-grade agentic workflow solution that executes an advanced, regulated process and can be deployed to thousands of B2B clients.