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Collibra Deasy Labs Acquisition Unlocks Powerful AI Data Potential

Collibra acquires Deasy Labs to unify data governance for structured and unstructured data.

The world of data governance is evolving as Collibra announces the acquisition of Deasy Labs. This move positions Collibra as a pioneer in unifying governance for both structured and unstructured data. With most enterprise data remaining unstructured and underutilized, this strategic acquisition aims to unlock new value for organizations seeking trusted AI initiatives.

Collibra Acquires Deasy Labs to Tackle Unstructured Data Challenges

Collibra’s recent acquisition of Deasy Labs brings a fresh approach to managing data that is often ignored. Unstructured data—including documents, emails, and transcripts—accounts for over 90% of enterprise information. Traditionally, this data has been left unmanaged. However, Deasy Labs uses advanced AI-driven technology to discover, tag, and enrich these files automatically. That provides organizations a significant advantage as they scale AI and analytics programs across their data estates.

How Deasy Labs Enhances Collibra’s AI Data Governance Platform

Deasy Labs’ innovative platform will be seamlessly integrated into the Collibra Platform. The integration introduces:

Ultimately, organizations can govern the complete AI lifecycle—from enrichment to compliance—across all data sources.

What the Integration Means for Enterprise AI and Compliance

By integrating Deasy Labs, Collibra offers a unified approach to compliance, data lineage, and policy enforcement. This means enterprises can trust the quality of their data, reduce operational costs, and accelerate time to insight. Automated metadata-driven workflows help companies meet regulatory requirements more effectively, while also fueling innovation in AI without compromising reliability or governance.

In summary, the Collibra Deasy Labs acquisition signals a new era in data governance. With enhanced support for unstructured data, Collibra customers can streamline AI adoption while maintaining full control and compliance. As organizations look to operationalize AI at scale, unified governance across all data types is now within reach.

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