Agenda

The Missing Protocol: Connecting AI Agents to Real-Time Data Streams

Sean Falconer, ConfluentViktor Gamov, Confluent

Wed, Nov 4, 2:00⁠–⁠2:45 PMRoom 2008

LLMs and AI AgentsIntermediateBreakout session

Most AI applications work with a fixed dataset. They analyze yesterday's reports, last week's exports, or a database copy from when it was made. But when used in real life, data keeps changing, and the demo effect fades. Your agents can miss changes in data structure and never see the events your business depends on.
The Model Context Protocol (MCP) changes how we solve this problem. MCP gives AI a common way to connect to tools and data, including systems such as Kafka.
In this session, we'll create agents that listen to live events, understand changing data structures, and make decisions that affect the whole system. We'll explain how MCP's request/response style works with streaming's continuous updates, how to share changing information without confusing the AI, and the common problems that are rarely shown.
You'll leave seeing AI as part of your streaming system, connected to the events!

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