Board members and senior executives are reassessing data governance and risk management at the enterprise level, citing five ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

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

Another challenge arises from the pace of modern data environments. Cloud platforms, streaming pipelines and self-service ...

As AI moves deeper into enterprise operations, CIOs are being pushed to turn governance principles into practical controls, ...

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

As regulated industries accelerate AI adoption, Chennareddy's governed, audit-ready architecture spanning North America, ...

A new guide for policymakers, “Data Policy in the Age of AI: A Guide to Using Data for Artificial Intelligence,” aims to educate leaders on responsible AI data use. The new white paper, from the Data ...

Generative AI is designed to amplify user potential while still requiring users to evaluate its results. If a chatbot's output is insufficient or ill-advised, an employee using it for a business task ...

As tools like generative AI become increasingly mainstream, the quality and accessibility of enterprise data has become more important than ever before. Many organizations are rethinking their data ...

CU Boulder collects, uses and maintains a significant amount of data. This includes, but is not limited to student, employee, research and finance data. Institutional data supports CU Boulder’s ...

The State University of New York College of Environmental Science and Forestry (SUNY ESF) strives to establish an essential framework for the necessary control and enforcement mechanisms of ...