Explore the lifecycle of building and operating a robust serverless platform, treating it as a product for internal and external consumers. This talk covers the crucial phases of ideation, construction (using the AWS Well-Architected Framework), and operation, emphasizing a consumer-centric mindset, operational excellence, and strategies for long-term success.
Experts analyze Apple's AI future under new hardware-focused CEO John Ternus, the strategic implications of Anthropic's deep partnership with AWS for custom AI chips, the evolving landscape of customer intent in an era of AI agents, and the ironic security leak of the powerful Claude Mythos model.
Giedrius Praspaliauskas from AWS explores the ten stages of the API lifecycle, demonstrating how modern AI, Generative AI, and agentic systems are reshaping API strategy, development, security, and governance on AWS using services like API Gateway, AppSync, and Amazon Q.
A panel of experts from AWS, G-P, and AntStack discuss the practical impact of Generative AI on software development. They explore how AI is used as an accelerant for productivity, the challenges of applying it to large-scale system design, its role in modernization, and the future implications for developer careers and safety-critical systems.
Uma Ramadoss from AWS explains the core concepts of Agentic AI, differentiating it from standard AI workflows. The session covers how to build agentic systems on AWS using services like Bedrock and Step Functions, and open-source frameworks like Strands SDK, emphasizing practical architecture, context enrichment, and the importance of verification.
Prashanth HN explores the powerful synergy between event-driven Agentic AI and Serverless architecture. Learn how AWS services like Lambda, Step Functions, and Bedrock provide the essential building blocks for creating sophisticated, scalable, and cost-effective AI agents, with practical examples of Agentic RAG, swarms, and orchestration patterns.