Grounding Agentic AI: Data, Context & Control

As AI moves into an increasingly agentic era, enterprises need more than powerful models - they need trusted data, meaningful context, and control over how AI systems access and use information. Join this episode of DMRadio as Adam Gunther of Vertica at Rocket Software discusses how the company's MCP server connects LLMs directly to enterprise data, while Vertica's analytics and in-database machine learning capabilities help ground probabilistic AI with deterministic insights. He will be joined by Meeta Vouk of Rocket Software and Patrick Osborne of HPE, who explore the growing role of unstructured data and the need for "provable governance" as AI agents become more autonomous. The conversation covers blending structured and unstructured data, monitoring model drift, controlling agent access, and supporting secure AI deployments across cloud, on-premises, and sovereign environments.