Brett Conrad, VP of Public Sector at Box, discussed the shift from AI pilot projects to operational use in government ...

As technology and regulations evolve, enterprises need to address data governance throughout pipelines, models, and AI agents ...

Governments and industries are advancing new approaches to data governance, from the EU’s digital sovereignty agenda to cryptographic identity in banking and AI agent oversight. These moves aim to ...

ORLANDO, Fla., March 9, 2026 /PRNewswire/ --BigID and Atlan today announced an enhanced integration that delivers the first and only combined solution to unify structured and unstructured data ...

Campbell, CA, (September 12, 2023) — The third annual Komprise 2023 State of Unstructured Data Management survey found that IT and business leaders are largely allowing employee use of generative ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Enterprises are facing key challenges in harnessing their unstructured data so they can make ...

The enterprise data landscape is undergoing a fundamental shift as the importance of unstructured data grows in parallel with the rise of generative AI and agentic workflows. Data platforms are ...

The "clean your data first" consensus is the most expensive bad advice in AI. Here's the question enterprises should ask ...

CAMPBELL, Calif., May 18, 2023 (GLOBE NEWSWIRE) -- Komprise, the leader in analytics-driven unstructured data management as a service, today announced new governance and self-service capabilities that ...

The concept of data-driven leadership isn’t new. Executives and other business leaders have been advised for many years on how to interpret data and balance intuition and experience with data to make ...

Unlike most tech markets, the decades-old global database market keeps growing faster, even as it tops $100 billion in size. The cause? The shift to cloud and attempts to take advantage of AI. Learn ...

The "clean your data first" consensus is the most expensive bad advice in AI. Here's the question enterprises should ask ...