As data moves beyond institutional systems, higher education faces a growing challenge with shadow data. Here’s how IT ...

This study identifies limited engagement with equity among academic medical centers as they develop governance processes for artificial intelligence (AI)/machine learning and predictive technologies.

As artificial intelligence (AI) becomes more integrated into higher education, universities must adopt robust governance practices to ensure AI is used responsibly. AI can generate valuable insights ...

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 ...

Read more about How generative AI is reshaping education through motivation, governance, and institutional readiness on Devdiscourse ...

Wylie Wong is a freelance journalist who specializes in business, technology and sports. He is a regular contributor to the CDW family of technology magazines. As part of its artificial intelligence ...

In the evolving landscape of higher education, institutions are grappling with how to adapt their governance models to address new trends and technologies. The traditional balance of power and ...

As regulated industries accelerate AI adoption, Chennareddy’s governed, audit-ready architecture spanning North America, EMEA, and APAC offers a model for compliant enterprise intelligence at scale.

Health systems move beyond the pilot era over health systems to integrate AI into workflows with governance for safe, compliant adoption.

By Muhammad Aslam Hayat Pakistan’s Indus AI Week was not just another technology event. It marked a national shift in how ...

The next generation of financial crime prevention will be built on smarter architectures, not bigger data pools.