Today, AI relies on data, and many organizations are treating AI systems like traditional applications. From my experience ...

Achieving business success today increasingly depends on getting the right information at the right time — so people can make ...

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

Chris Hayhurst is a freelance writer who covers education technology and healthcare, among other topics. He's a regular contributor to the CDW family of technology magazines Dealing with departmental ...

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 ...

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 ...

As data governance becomes increasingly part of the business (rather than an offshoot of IT), it must proactively seek to build links with other areas of the enterprise. Two paradigms dominate the IT ...

Data governance is rapidly evolving. In the early days, data governance was strictly considered an IT function focused on data cataloging that was rarely, if ever, seen or used by the business. Next ...

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 ...