Data governance must ensure users can trust data enough to move faster, make smarter decisions and build better products, ...

Artificial intelligence has become embedded in nearly every operational layer of modern institutions. It parses documents, ...

Sensitive enterprise data is artificial intelligence's most valuable - and most vulnerable - input. As organizations feed proprietary data into AI models and ...

Snowflake Inc. is expanding its open data architecture strategy with a set of interoperability enhancements that aim to ...

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 ...

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 ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. State government needs policies and procedures to ensure data is ...

Sponsored Storytelling. For more than a decade, Indigenous researchers and advocates have built frameworks to govern Native ...

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 ...

The Forttuna Councils, a flagship initiative of The Forttuna Group, is a global leadership ecosystem designed to convene ...

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 ...

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 ...