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Discover how to automate any business process using Amazon Quick Flows and Amazon Quick Automate, empowering every user in your organization to safely leverage agentic AI. Learn from real-world success stories as companies like 3M, Kitsa, dLocal, and Propulse Labs use Amazon Quick Suite to save time and money while improving customer outcomes.

John Kodera explains how Sony continually aims to deliver emotionally resonant experiences by connecting fans with creators and leveraging state-of-the-art technology from AWS that harnesses data and AI. Learn more about AWS events: https://go.aws/events Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.

This session unveils Auth0 for AI Agents—a powerful solution enabling humans and non-human identities (NHI) to operate securely across AWS applications such as Bedrock and Quick Suite. Discover how Okta and Auth0 combine to empower agents with granular access controls and better user experiences.

In this session, gain the skills needed to deploy end-to-end agentic AI applications using your most valuable data. This session focuses on data management using processes like Model Context Protocol (MCP) and Retrieval Augmented Generation (RAG), and provides concepts that apply to other methods of customizing agentic AI applications.

At the 2026 Financial Services Symposium on May 7 in New York City,  Scott Mullins, Managing Director of Financial Services at AWS, introduced the event's theme: "Rethink everything." Executives from leading organizations joined Scott to share how they are harnessing AI to become more secure and resilient, improve the performance of their mission-critical applications, and seize new growth opportunities.

Discover the latest innovations in AWS Lambda that go beyond traditional event-driven applications. In this lightning talk, we'll showcase the game-changing capabilities that we just launched at re:Invent. Learn how these features can accelerate your development process and scale your applications effortlessly.

Watch the full podcast episode today at https://www.youtube.com/watch?v=njUf4cRgCuE #AWS #AmazonWebServices #CloudComputing #Bedrock #AgenticAI #AgentCore #Podcast

In Formula 1, victories depend on turning millions of data points into winning decisions. Organizations can apply this same precision to unlock value from underutilized data assets. Drawing from F1's model, we present a three-part framework for data excellence: customer-focused decisions, dynamic people- powered strategies, and market-reive structures. Learn practical approaches to evolve your data strategy into a business advantage in the AI era.  Learn more about AWS events: https://go.

In this video, we go beyond simple prompt-and-response interactions to explore the world of AI Agents. If you’re a software developer who wants to move past "toy" examples and build real-world applications that can reason, use tools, and interact with external systems, this guide is for you. We’ll break down the two massive limitations of standard LLMs—reasoning gaps and data isolation—and show you how the ReAct (Reasoning + Acting) framework turns a model into an autonomous agent.

Cyber attackers are becoming sophisticated. Through leaked credentials and elevated IAM roles, they can compromise workloads and exfiltrate data while remaining undetected for extended periods. In this session, discover how Amazon VPC Egress Proxy provides advanced protection against sophisticated cyber threats. You’ll learn how this new feature patches data leak vulnerabilities in your environment, helping detect and prevent unauthorized data exfiltration attempts.

Learn how AWS networking services are transforming AI/ML application performance. This session demonstrates approaches using AWS Network Load Balancer for ultra-low latency search and real-time AI/ML inference, plus Amazon API Gateway optimizations for low-concurrency LLM workloads. Through real-world case studies and production deployments, you'll discover practical techniques for minimizing network latency in AI/ML pipelines and architecture patterns for high-performance inference serving.

Episode 6 of 8-part series on Amazon Bedrock AgentCore - Code Interpreter Tool In this video, we delve into AgentCore Code Interpreter, a secure, sandboxed environment that enables your AI agents to execute code — such as Python or JavaScript — directly within their workflows. You’ll learn how to: Create a Code Interpreter tool using the AgentCore console, AWS CLI, or SDK, specifying configurations like network access and execution roles.