Tue, 26 May 2026

Informatica and Microsoft deepen partnership to deliver trusted data or agentic AI and analytics at scale

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Informatica from Salesforce has deepened its partnership with Microsoft to help advance AI and analytics initiatives with trusted data through new integrations.

Rahul Auradkar
Rahul Auradkar

Rahul Auradkar, president and GM of Data Foundations at Salesforce, said, “Trusted data for AI and trusted data for analytics are the foundation of scaling responsible, transformational AI. With our focus on collaboration and innovations with Microsoft, we are meeting Azure customers where AI and analytics converge – delivering enterprise-grade, production-ready capabilities that help to ensure data is high quality and ready for actionable insight at scale.”

New integrations

To enable joint customers to power their AI agents with trusted data from Informatica’s Intelligent Data Management Cloud (IDMC), Headless IDMC’s Model Context Protocol (MCP) servers are now generally available within Microsoft Foundry, This enables Microsoft Azure customers to integrate critical data management services, such as Cloud Data Governance and Catalog Metadata Search, Cloud Address Verification, Customer Identification, Job Management, and Data Provisioning, into their AI agents.

Informatica also expanded its IDMC Cloud Data Integration support for Fabric to bring Mass Ingestion and Change Data Capture services for Fabric Data Warehouse, enabling IDMC customers to use ingestion and replication to ingest billions of rows each month into Fabric OneLake or Fabric Data Warehouse while using Change Data Capture.

Tina Schuchman
Tina Schuchman

“Microsoft Foundry continues to expand its tool ecosystem to help customers build and scale AI agents with confidence,” said Tina Schuchman, corporate vice president and GM of Foundry Agents at Microsoft. “Informatica’s MCP servers, now available in Foundry Tools Catalogue, enable us to bring trusted enterprise data and interoperability into our ecosystem — enabling customers to seamlessly operationalise AI at scale with high-quality, governed data.”

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