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Explore how to enable secure, governed access to enterprise data systems for AI agents through the Model Context Protocol (MCP) in this 52-minute conference talk. Learn why current agents are limited to document summarization and help center functions, and discover how MCP can unlock real enterprise data from systems like Postgres, Redis, and Iceberg. Examine real-world patterns for agentic enrichment and understand the challenges involved in productionizing data access for enterprise environments. Gain insights into why every enterprise will require an MCP-native interface and discover how Featureform developed the first production-grade MCP server. Understand the essential requirements for making AI agents truly enterprise-ready and capable of working with internal data systems in a secure, governed manner.
