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With 200+ AWS services and a growing ecosystem of third-party solutions, making the right architectural choices can feel overwhelming. This session introduces a capability-first approach for moving from business goals to technology choices in a structured manner. Through practical examples, learn how this methodology narrows the solution space and keeps architectures adaptable to change.

In this demo, we will experience how to modernize an open source mainframe application "AWS Card demo" by leveraging GenAI and agentic capability of AWS Transform for mainframe. AWS Transform addresses the key challenges of mainframe modernization by providing a guided, human controlled, expert-driven approach.

Discover how one of the biggest Fintech companies in India has leveraged generative AI to automate threat modeling across their applications. Learn architectural patterns that enabled CRED to scale security analysis, improve risk identification, and enhance decision-making. See practical examples of integrating AI into security modeling workflows using Amazon Bedrock. Learn more: AWS re:Inforce: https://go.aws/reinforce. More AWS events: https://go.

Frank Ford, Partner at Bain & Company, discusses how organizations can drive meaningful change through "micro-battles" - a method of tackling tough business problems in small, winnable chunks that can later be scaled across the organization. He explains why traditional large-scale transformations often fail (with only 12% success rate) and how focusing on specific, time-bound challenges with clear sponsorship can lead to more effective organizational change. Listen on Spotify - https://go.

In part 2 of this 5 part video series on Small Language Models with Arcee AI, Andrew Walko and Nolan Chen discuss common use cases for SLMs and LLMs. Learn more - http://go.aws/4laWv7r Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.aws/free Explore more: https://go.aws/more Contact AWS: https://go.aws/contact Next steps: Explore on AWS in Analyst Research: https://go.

Chris Shea and Brooke Jamieson meet to discuss Amazon Q Developer, including using Q Developer to help with a variety of usecases ranging from navigating public transit to enterprise workloads. Get started with Q Developer today at https://go.aws/4cAFajv Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.aws/free Explore more: https://go.aws/more Contact AWS: https://go.

Eissa Jamil, Parnter Engineer at Meta reveals how your feedback can directly influence Llama model development. #AmazonBedrock #Meta #Llama

For more details on this topic, visit the AWS Knowledge Center on AWS re:Post and read the full article associated with this video: https://repost.aws/knowledge-center/rds-postgresql-connect-using-iam The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more.

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.

Explore the transformative power of agentic AI with AWS Executives in Residence Tom Soderstrom and Miriam McLemore as they reveal how organizations can turn overwhelming data volume into actionable business outcomes. Drawing from their extensive experience leading digital transformation at NASA's Jet Propulsion Laboratory and Coca-Cola respectively, our experts share practical insights on overcoming data paralysis, breaking down organizational silos, and implementing a culture of...

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.

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.