When leaders think about data, structured data—such as payment amounts, invoice processing dates and customer names—likely crosses their minds first. Because structured data is objective, it’s ...

Learn how to improve the governance of unstructured data. Keep data organized for better use, and ensure the effective and efficient use of information. Businesses have to govern their data to keep it ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Enterprise AI adoption is rapidly accelerating, yet organizations struggle significantly ...

Large enterprises in regulated industries, especially in data-rich financial services and insurance, have invested significantly in data governance programs. Other businesses have been catching up as ...

Unstructured data is sprawling across clouds and devices -- and it's putting your organization at risk. But with the right roadmap, you can turn chaos into control. Joey D'Antoni provided such a ready ...

NEW YORK and BRUSSELS, July 24, 2025 /PRNewswire/ -- Collibra, the leader in unified governance for data and AI, today announced the acquisition of Deasy Labs, a pioneering startup specializing in ...

Organizations struggle with governing the data that goes into and informs large language models since it's in documents rather than spreadsheets or SQL databases, said BigID CEO Dimitri Sirota. See ...

It's not just a mess -- it's a security risk, a compliance hazard, and a missed opportunity. That was the message from data evangelist Karen Lopez during the June 27 session of the "How To Take ...

Organizations that treat their data as an asset have a data governance framework that matches their style, structure and culture. Organizations of all sizes collect, store and process data from ...

Data governance isn’t where it needs to be in many organizations, despite the widespread use of AI and analytics. This is risky on several levels such as cybersecurity and compliance, not to mention ...

Researchers propose an LLM-based framework that combines Large Language Models, Knowledge Graphs, and Reinforcement Learning ...

As interest in AI development surges, the underlying data used to train models and applications becomes increasingly important. As a result, 2025 will likely be a year when enterprises place greater ...