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Organizations face mounting challenges from manual patching, fragmented compliance, and limited visibility. In this code talk, we'll build an agentic solution with Strands Agents SDK and AWS services to transform patch management. We’ll walk through turning operational requirements into interactive, production-ready agent workflows—driving automated remediation and rapid vulnerability checks.

Join us for this session as we share our vision for driving innovation through open source agentic AI, and enhancing work-life quality for platform engineers worldwide. We'll explore real-world examples of how platform teams can apply autonomous agentic AI to their organizations, integrating AWS services alongside other open source projects such as Kubernetes, ArgoCD, Backstage and more. Learn more: More AWS events: https://go.aws/3kss9CP Subscribe: More AWS videos: http://bit.

Join us for an exciting live coding session where we'll demonstrate the power of spec-driven development using Kiro, the AI IDE that's transforming how we build applications. Watch as we take a simple prompt and transform it into a fully functional application through Kiro's structured approach. You'll see firsthand how Kiro converts requirements into clear specifications, system designs, and discrete tasks while maintaining robust engineering practices. Learn more: More AWS events: https://go.

Embark on a faster, smoother cloud transformation with agentic AI and integrated solutions. This session reveals how AWS Transform accelerates your cloud journey, addressing migration and modernization challenges through intelligent automation. Through real-world examples, discover how to leverage this powerful integration to fast-track your cloud adoption and transformation efforts.

With Amazon Connect, an AI-powered contact center from AWS, you can transform your customer experience at scale. Set up a cloud contact center in only a few steps to create connected experiences across any channel, increase productivity through AI-human collaboration, and optimize your contact center operations. For more information about Amazon Connect, visit https://go.aws/connect. Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.

Dive into Amazon Simple Email Service (SES) with this comprehensive six-part technical series. Based on our popular SES workshop, this series guides you through essential implementations from domain verification to template personalization, designed for developers and solution architects. Follow hands-on demonstrations covering identity management, sending methods, configuration sets, list management, and email templating - everything you need to build a robust email solution with Amazon SES.

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Amazon Nova Multimodal Embeddings is a unified, state-of-the-art multimodal embeddings model designed to power semantic search and agentic RAG applications. Learn more about Amazon Nova Foundation Models: https://go.aws/48QstTc 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.

In this video, we dive into Amazon S3 Vectors, a powerful new capability that enables you to store, search, and retrieve vector embeddings directly within S3. We demonstrate how S3 Vectors eliminates the need for separate vector databases, allowing you to manage embeddings alongside your original data. In this video we will walk through two practical examples of implementing semantic search using S3 Vectors and integration with Amazon Bedrock.

In this episode of "AWS Show and Tell - Integrating MCP Server Applications with Amazon Connect", we'll demonstrate how to bridge the power of Model Context Protocol (MCP) servers with Amazon Connect's contact center capabilities using Bedrock AgentCore Gateway. Through a practical integration example, you'll learn how to transform your APIs, Lambda functions, and services into MCP-compatible tools that AI agents can leverage directly within the Amazon Connect environment.

Discover how organizations are accelerating modernization of their legacy .NET Framework applications by up to 4x using AWS Transform. This session explores how Idemia, a leading identity solutions provider in the US, addressed 25 years of technical debt by using AWS Transform for modernizing their legacy .NET Framework applications to cross-platform .NET. We'll showcase AWS Transform's latest .

Meet Amazon Nova 2, our next generation of foundation models that deliver frontier intelligence and industry-leading price performance. We are introducing four models: Amazon Nova 2 Lite is a fast, cost-effective reasoning model for everyday AI workloads. It offers the best combination of price, performance, and speed. Amazon Nova 2 Pro (preview) is our most intelligent model for highly complex workloads.