The most valuable data is the data that never leaves the system. Information Silos and legacy system complexity offer the highest friction to the Adoption of Agentic AI in most businesses. While many teams attempt to retrofit an MCP layer into their existing systems and workflows, it solves very little.

In this talk, we will understand what a Federated Agentic model looks like. We will delve into the strengths of having agents that own specific components and interests, as opposed to equipping a generalist agent with tools to operate the whole system. We will also explore why Agentic AI is fundamentally a Distributed Systems problem, and how tools and concepts from the Distributed Systems paradigm apply to Federated Agentic AI.

You will leave with an understanding of how to build Localized, Specialized, and Efficient AI Agents that run where the data lives, serve the interests of the teams that own them, and still operate securely in a system that potentially spans the globe (or even space ;) )