A Practitioner's 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.