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 ...

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

Not all data gold glitters — smart CIOs know when to invest, how to measure value and how to steer clear of AI snake oil.

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

Customer data platform provider introduces unified solution combining real-time activation with cloud-native flexibility for ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More When organizations look to upgrade and improve their data infrastructure, ...

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

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 ...

School districts collect vast amounts and varieties of data, from student performance and attendance to staff information and operational systems. Ideally, this data can enable informed ...

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 ...