
Building Trustworthy AI: Navigating the Challenges and Future of Agentic Software with Shane Emmons
FinStrat Management, Inc.
Building the Serverless Brain: MCP and Agentic AI on Google Cloud Run Nguyen Hai Truong Google Developer Expert for GCP Artificial intelligence is undergoing a fundamental shift—from models that simply respond with text to autonomous "agents" that can actively manipulate systems and interact with the world. The key to this evolution lies in empowering Large Language Models (LLMs) to use external tools and data sources effectively. However, integrating this context can be a significant development hurdle. This session explores the solution: Anthropic's Model Context Protocol (MCP), an open-source standard designed to streamline how LLMs connect with tools. We'll dive into how MCP provides a standardized blueprint for building APIs that AI can seamlessly consume. But once you've built an MCP server, where do you host it for maximum efficiency and scale? Enter Google Cloud Run. Discover how its serverless, scalable, and cost-effective platform provides the perfect environment for deploying your MCP-enabled APIs. You will learn how to build a "serverless brain"—a powerful, tool-using AI agent that can be deployed effortlessly, allowing you to focus on creating intelligent applications without managing infrastructure. Join us to learn how to build the next generation of agentic AI.