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Financial institutions face challenges analyzing massive log volumes, requiring hours or days of manual review for critical incidents. Learn how Ripple is building an automated, multi-agent system using Amazon Bedrock AgentCore and the Strands Agents framework to process 30-50GB of daily logs in minutes. Explore architectural patterns for integrating Amazon CloudWatch, AWS Lambda, Amazon S3, and Amazon OpenSearch to correlate log entries with codebase sections.

How to build a complete serverless platform using AI coding tools. Darryl Ruggles, AWS Community Builder, joins Julian Wood to share how he built a full-featured blogging platform on AWS serverless services using Claude Code and MCP servers. Learn what works (and what breaks) when using AI assistants for real production projects. Discover how MCP servers for Terraform, AWS documentation, and serverless patterns keep you in flow without context switching.

Analytics and data science are at an inflection point. The first wave of agentic analytics—HITL (human-in-the-loop), goal-driven agentic AI systems that reason, plan, execute and learn across data and models—is coming to life, delivering massive value by accelerating decision velocity in organizations. In this session, ZS MAX.AI presents real-world examples of organizations using agentic forecasting, segmentation, content intelligence, on-demand customer analytics and more.

Learn how to leverage vector search to enhance your AI agents' capabilities! In this tutorial, we'll create a powerful NFL analysis tool using TiDB, Amazon Titan, and AgentCore runtime. Whether you're a sports enthusiast or an AI developer, this video provides valuable insights into creating powerful, data-driven AI agents. Don't miss out on this opportunity to elevate your AI game! Learn more about TiDB: https://go.aws/4qtlDIo Full Code Example on Github: https://go.

Discover how Amazon QuickSuite transforms Salesforce data into actionable insights. This demonstration showcases seamless integration between QuickSuite's AI-powered analytics platform and Salesforce CRM, highlighting four key use cases: natural language chat requests, workflow automation, sending notifications, and triggering processes. Learn how to connect your Salesforce data sources, create dynamic dashboards, and leverage generative AI capabilities to unlock deeper customer insights.

Join Willem Visser, Vice President of Amazon EC2, for an inside look at AWS's transformative compute innovations across instances, containers, serverless technologies, and more. Willem will explore how AWS’ customer obsession led to implementing radical new ideas that revolutionized cloud computing, and will be joined by Barry Cooks, Vice President of Compute Abstractions at AWS.

Amazon Quick Research is a capability of Amazon Quick that accelerates complex business research. It synthesizes your organization's internal knowledge, relevant internet data, and premium third-party content into expert-level insights, turning weeks of traditional research into deep, actionable analysis in minutes. 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.

Join us as we dive into the new AWS Quick Suite and how to integrate it with your Cloud Intelligence Dashboards like CIDs and CUDOS! We will be looking at permissions, pricing and how to configure your agent! https://aws.amazon.com/quicksuite/?trk=ad714902-ef07-4ce3-bbb9-a6e6201b5aca&sc_channel=sm https://aws.amazon.com/quicksuite/pricing/?trk=ad714902-ef07-4ce3-bbb9-a6e6201b5aca&sc_channel=sm https://docs.aws.amazon.

Discover how AI-powered automation transforms technical data assets into business-friendly resources in Amazon SageMaker Unified Studio. In this demo, learn how to generate business descriptions, glossary terms, and metadata for your data assets. Learn how to leverage AI-powered automation to create business-friendly names and descriptions, annotate attributes with business context, and review and accept automated metadata recommendations.

Allianz Technology is transforming into a generative AI-enabled organization—at global scale. With operations in 74 countries, the team needed a secure, elastic foundation to accelerate innovation while maintaining reliability. By working with AWS and the Generative AI Innovation Center, Allianz deployed agentic capabilities across its co-insurance platform in under 100 days—cutting claims handling and implementation times by 80%.

This is the second video in the "with Mama J" series where I explain what I do all day at work to my mother. Last time, we talked serverless and Lambda. This time it's containers: what they are, why they exist, and how AWS manages them at scale. We start with the "it works on my machine" problem, go through how Docker builds images, and what ECS actually does as an orchestrator. Then Fargate vs EC2, how Fargate differs from Lambda, and a full shopping-app example with Black Friday auto-scaling.

FinOps has evolved from visibility to optimization and now to action. As AI workloads introduce new cost complexities, organizations can no longer afford analysis paralysis or endless dashboards. It is time for FinOps 3.0: a shift where cost intelligence is embedded directly into engineering workflows, insights are contextual and role specific, and automation becomes a trusted ally rather than a leap of faith.