AI adoption has moved from the margins to the mainstream. Many organizations are piloting generative AI, exploring agentic ...

THE Philippines grapples with significant obstacles in establishing a robust and coherent data governance framework, a ...

Enterprises that unify identity as the control point, strengthen data practices, and advance security controls achieve higher ...

Addressing non-human identities risk requires treating identity security as a data problem, not just an access problem.

A QHIN and interoperability pro explains what clean, standardized and interoperable data enables with AI. He also details ...

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 ...

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 ...

Informatica's Cloud Data Governance and Catalog is the latest addition to the company's data management as-a-service portfolio. It's a relaunch of an older set of services that have been rebuilt from ...

In Ontario, Canada, and England, in the United Kingdom, child protection services encounter problems related to data quality ...

Embedding governance, advanced technology, and robust ethical principles throughout the AI lifecycle enables organizations to ...

AI use is outpacing oversight: As organizations rapidly adopt AI tools like ChatGPT and agentic AI systems, most lack clear ...

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 ...