Description

AI agents are only as good as the data they can access, yet legacy architectures often fail to provide the real-time context agents require. This session explores context engineering: the foundation for ensuring data freshness and quality. We will demonstrate how to unify streaming and low-latency serving on Google Cloud using the Model Context Protocol (MCP) and Vertex AI. 

Learn how combining Confluent’s real-time data with Google Cloud enables agents to take accurate, autonomous action without the lag of traditional data stacks.

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Instructor's Bio

Dr. Sean Falconer

Senior Director, Product Management - AI Strategy at Confluent

Webinar

  • 1

    Talk "Build Real-Time AI Agents with Context Engineering on Google Cloud"

    • Ai+ Training

    • Webinar recording

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