A Practitioners Guide to Data for Agentic AI

As organizations deploy agentic AI systems, connecting agents to enterprise data securely and at scale is a key challenge. From managing memory to enforcing access controls, the infrastructure demands of agentic AI are evolving rapidly. This webcast offers a guide to tackling these challenges, covering the data layer powering agentic AI workflows. Topics include: ReAct loop, context management, and multi-tier memory architecture Model Context Protocol (MCP) for tool discovery across data sources Data governance, identity propagation, and access control Watch to learn how to build secure, governed data foundations for agentic AI.

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