AI agents promise to transform how your enterprise operates. But agents are only as powerful as the data behind them. For most organizations, data is ungoverned and scattered across systems. The result? AI initiatives that stall, IT teams stretched thin and a board asking why their AI investment hasn’t moved the needle.
Model Context Protocol (MCP) is emerging as the connective tissue between agentic AI and your data estate, giving agents the context they need to deliver trusted, governed answers at scale.
Join Databricks and Informatica to hear how MCP bridges the gap between your AI ambitions and your data reality.
In this session, IT leaders will learn how to:
- Stop agentic AI stalling by fixing fragmented data with MCP
- Enable AI to surface trusted answers with built-in data quality validation
- Deliver business outcomes faster across customer experience, supply chain and compliance
