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Explore how AWS innovations are revolutionizing disaster recovery (DR) strategies for enterprise-scale organizations. Managing thousands of applications across AWS Regions demands sophisticated DR capabilities that have historically required complex and resource-intensive custom development.

Can AI agents do more than answer questions? In this October 7th episode of GenerAIly Speaking, hosts Jay Busch and Bharathi Srinivasan put that to the test with two demos. First, Madhu Samhitha Vangara and Tejas Kashinath build a research agent from scratch with Amazon Bedrock AgentCore. It searches the web, arXiv, Hacker News, and GitHub, remembers who you are, and reports back as a noir detective, a sports announcer, or a Greek bard.

Chapter 14 of the Building AI Agent Harnesses with Strands Agents course. Everything up to this point ran on your machine. This chapter is about running it somewhere else, for other people, reliably. In this video, we'll deploy it to AWS using Amazon Bedrock AgentCore. AgentCore is a collection of components for building, deploying and operating agents in production. The main components we will focus on in this video is AgentCore Runtime and AgentCore Memory.

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.

Get an inside look at how Amazon harnesses generative AI to transform developer productivity. Learn how the combination of AWS Bedrock and agentic AI frameworks powers intelligent developer tools that streamline workflows and automate routine tasks. See real-world examples of spec-driven development automation and AI agent integration. Walk away understanding how to implement similar AI-powered development tools to boost productivity and accelerate delivery in your organization.

Enable continuous backup in your AWS Backup plan for Amazon RDS, Amazon S3, and Amazon DynamoDB, then restore a new resource to any second within your retention window. Learn more: https://docs.aws.amazon.com/aws-backup/latest/devguide/point-in-time-recovery.html Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.aws/free Connect with an expert: https://go.aws/contact Explore more: https://go.

The early days of Retrieval-Augmented Generation (RAG) are over. Naive RAG approaches (simple vector lookups fed to a LLM) are not enough to deliver accurate, scalable, and context-rich AI experiences. In this session you’ll learn how leading teams are pushing beyond basic document search to build agentic RAG pipelines that incorporate multi-step reasoning, dynamic namespace selection, metadata-aware retrieval, evaluation and more.

Dive deep into AWS generative AI services and learn how to apply them to your SAP modernization project. In this session, we will cover use-cases to move to an S/4HANA clean-core by automatically converting or replacing legacy ABAP code. Learn more: More AWS events: https://go.aws/3kss9CP Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.

Discover how Amazon Nova 2 Lite transforms hours of research into minutes with its powerful agentic capabilities and deep research features. In the demo, watch the model autonomously run research workflows, gathering real-time data and generating comprehensive forecasts in seconds. This illustrates how Nova 2 can be your intelligent research partner for fast, accurate deep-dive investigations across any domain. Learn more about Amazon Nova: https://go.aws/3KJdEYR Subscribe to AWS: https://go.

Legacy systems shouldn't hold back your AI ambitions. Join Dr. Asa Kalavade to see how AWS is making migration and modernization simpler and faster with agentic AI, building on nearly two decades of enterprise experience. Learn how we're using AI to build domain-specific agents that continuously learn, streamlining and accelerating transformations like never before.

AWS gives the NBA scalable cloud infrastructure for the NBA app, League Pass, the stats platform, live streaming and AI-powered features across the NBA, WNBA and NBA G League. Learn how the NBA moved its entire digital operation from another cloud provider to AWS in just six months, about half the typical enterprise timeline, without disrupting the fan experience. Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.

You can now host and run Claude Code, Codex, OpenCode, Kiro, or any coding agent on Amazon Bedrock AgentCore. Blog: https://go.aws/3QpFoo6 Code: https://go.aws/4vA2iIg