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Training large AI models requires significant compute resources and can be time and cost intensive. In this session, learn to optimize and accelerate your model training workloads using AWS's purpose-built infrastructure and tools. We'll dive deep into leveraging services like Amazon SageMaker HyperPod for distributed training at scale and SageMaker fully managed training jobs for cost-effective ML acceleration.

Heidi Health started building generative AI for healthcare when most regulators were still grappling with what that meant. After pivoting from appointment prep to AI medical scribing with the explosion of Gen AI, the team confronted challenges unique to gen AI startups: validating non-deterministic outputs at scale, selling probabilistic technology to risk-averse hospitals, and navigating compliance frameworks designed for rule-based software.

Join us for a live stream where we explore how to customize Amazon Q to maximize efficiency and get the most out of this AI-powered assistant. We'll dive into optimization techniques, best practices for tailoring Amazon Q to your specific workflows, and tips for leveraging its capabilities across your development and business processes.

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Join us in this exciting episode as we dive deep into AgentCore's powerful capabilities! Watch live as we unleash the AgentCore Code Interpreter to analyze Excel sheet files, turning raw data into insightful analysis and automation. Whether you're a developer, data enthusiast, or AI curious, discover how AgentCore can transform tedious spreadsheet tasks into intelligent workflows. Don’t miss the live demo, tips, and real-world use case discussion that will elevate your AI game!"

Join us for an in-depth exploration of the key metrics that drive AWS cost efficiency. In this livestream, we'll break down essential KPIs including cost per transaction, resource utilization rates, and ROI calculations that matter most for cloud financial management. Learn how to measure, track, and optimize your AWS spending using proven metrics frameworks that align technical performance with business outcomes.

Credit unions and insurance organizations can leverage AI agents for automating complex workflows. In this code talk we’ll demonstrate going from concept to production with spec-driven development. We’ll work backwards from your business processes such as lending automation, claims processing, and fraud detection to turn prompts into detailed specifications, code, documents, and tests. Using prompts as code, we'll build production-ready agents using Strands Agents SDK and AWS services.

New instant payment schemes like FedNow, TCH RTP, and crypto stablecoins promise unprecedented efficiency, affordability, and convenience, but they impose strict performance requirements, such as 99.99% uptime, high resiliency, and seamless integration with a wide variety of on-premises core banking platforms.

🚀 Build Multi-Channel AI Agents with AWS & Twilio | How to Build Like AWS Join us for an exciting deep dive into building production-ready multi-channel AI agents that meet customers where they are! Learn how AWS and Twilio partnered to create intelligent conversational experiences across voice, text, and email channels with persistent context and memory.

Join AWS Cryptography leaders for a comprehensive tour of 2025's groundbreaking security innovations. Discover the latest launches across Cloudfront, KMS, Private CA, and Secrets Manager, showcasing AWS's implementation of NIST-standardized post quantum cryptography. Learn how we're revolutionizing cloud security through quantum-resistant algorithms, advanced certificate management, and automated secrets handling.

Learn how to go from finding data in Amazon SageMaker Catalog to building shareable dashboards in Amazon Quick Suite in a single, secure workflow. This session shows how the integration between the next generation of Amazon SageMaker and Amazon Quick Suite brings business intelligence dashboard governance into the same environment where you discover and prepare data. See how to manage access, ensure compliance, and share trusted insights across teams without moving data between systems.

Every major technology shift follows a familiar arc: from uncertainty to trust to scale. Erin Kraemer, Senior Principal Technical Product Manager for AWS Agentic AI, draws on her experience at AWS to explore how agentic AI is progressing along that curve today. The discussion highlights why observability and guardrails matter, how teams build confidence over time, and what leaders can do now to prepare for greater autonomy. Learn more about AWS Executive Insights: https://go.