From Data to Dialogue: How S&P Global Energy Made Its Structured Data Estate Conversational with Databricks Genie Agents and MCP
S&P Global Energy made structured data conversational using Databricks Genie Agents and MCP
S&P Global Energy deployed Databricks Genie Agents with the Model Context Protocol (MCP) to let customers query its structured data estate through natural language dialogue. The implementation signals growing enterprise adoption of agentic, MCP-based interfaces as a replacement for traditional BI and API access patterns. This is notable as a major financial data provider validating the conversational data access paradigm at scale.