Informatica today announced the Summer 2025 release of its Intelligent Data Management Cloud (IDMC) platform, introducing a suite of new AI-powered data management capabilities designed to simplify and enhance enterprise-wide access to AI-ready data. The latest enhancements span across key areas including data integration, governance, quality, master data management, and iPaaS.
“Our customers are crystal clear about what they need to scale their AI ambitions — trusted data, simplified governance and seamless integration across platforms,” said Krish Vitaldevara, Chief Product Officer at Informatica. “With the Summer 2025 release of IDMC, we’re delivering exactly that. From enhanced master data management and real-time data quality APIs, to elastic orchestration and expanded GenAI integrations, these innovations are built directly in response to what our clients have been asking for. We’re proud to give organizations the trusted data foundation they need to move faster and build confidently with AI”.
A significant highlight of this release is an upgraded Master Data Management (MDM) suite, now featuring advanced enrichment and governance capabilities. New tools like CLAIRE Match Analysis and Explainability offer greater transparency in record matching, enable business users to fine-tune rules without IT intervention, and incorporate supervised learning for improved accuracy over time. Additionally, an Enrichment and Validation Orchestrator automates workflows by connecting Informatica services with third-party sources, while a new Cloud Data Governance and Catalog scanner integrates with MDM to enhance auditability and reduce data silos.
For improved data integration, Informatica has introduced Elastic Runtime Orchestration in tech preview, allowing customers to run high-volume workflows on AWS without managing infrastructure. The CLAIRE Copilot for data integration is now generally available with interactive Q&A functionality, and the platform has expanded its connectivity to include Delta tables in Microsoft Fabric, open table formats like Apache Iceberg, and log-based CDC for SAP HANA.
The company’s iPaaS offering also sees enhancements, including support for Model Context Protocol servers to facilitate more effective access to IDMC assets for AI agents and large language models. New connectors for NVIDIA NIM, Databricks Mosaic AI, and Snowflake Cortex AI have also been added. A new Recipe Marketplace allows users to share reusable workflow templates for both AI and business automation use cases.
To bolster data governance, Informatica has launched an AI Governance Inventory within IDMC to catalog and track AI models, datasets, and approvals. This release also brings real-time data quality checks via REST APIs and AI-powered lineage discovery to accelerate deployment and modernization efforts.
Kelle Fontenot, Chief Digital Officer at KPMG, commented on the importance of data quality for AI initiatives: “AI and digital transformation are imperative to business growth, but these efforts are only as strong as the data behind them. Whether it’s building a report or utilizing the most advanced Generative AI model, access to trusted data is critical to ensure accurate and reliable outcomes”.
