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.
Experts analyze the 1X NEO humanoid robot's real-world viability and data challenges, delve into the complex copyright dispute between Japan's IP holders and OpenAI's Sora 2, and dissect the strategic implications of the new OpenAI and AWS partnership for AI infrastructure and multi-cloud strategies.
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.
A deep dive into building and scaling production-ready AI agents, detailing a model-driven approach using the open-source 'Strands' SDK and a cloud-native architecture for deploying remote tools with MCP and AWS Lambda.