Regional programmes such as the World Bank-supported Western Africa Regional Digital Integration Program were highlighted as ...

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 ...

In the ever-evolving landscape of data management and utilization, it's crucial to address the prevailing myth that data governance and master data management (MDM) are disciplines strictly reserved ...

THE Department of Science and Technology (DOST) is advancing efforts to strengthen data governance across its system ...

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 ...

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 ...

Data governance is transforming the world of business and IT as organizations increasingly acknowledge and embrace the importance of data in the modern world. And this transformation significantly ...

Privacera announced the rebrand and launch of the Trust3 AI platform, the industry's first unified agentic governance platform designed to meet the complex governance and security needs of modern ...

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 ...

Higher ed AI adoption is surging—but governance is lagging. New data reveals major risks from unstructured use and outlines a 90-day fix.

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 ...