David Anderson explains his "Value Flywheel Effect" framework, a model for continuous cloud modernization that joins business and technology strategy. He details how creating psychological safety, a robust serverless-first technology strategy, and a focus on system design over code builds the necessary momentum and shared context to harness future technologies like AI effectively.
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.
Learn how Vercel's open-source Workflows platform simplifies deploying durable, observable, and long-running AI agents by abstracting away the infrastructure complexities of queues, databases, and error handling.
Ben Smith and James Beswick explore the evolution of modern software architecture, discussing the critical role of workflow services in managing distributed systems, the trade-offs between microservices and monoliths, and the power of plugin architectures.
Nick Coult from AWS explains that the future of serverless is not a replacement but an essential foundation for the rise of AI agents. This talk explores the core benefits of serverless, its synergy with event-driven architectures, and how agentic AI and agentic workflows will rely on serverless principles to scale and operate effectively.