When governance is engineered into how data is created and used, it accelerates access, experimentation, model development ...

Absent a comprehensive federal AI framework, agencies should be guided by four governance priorities. While the federal ...

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 As more colleges and ...

Enterprises have moved quickly to adopt RAG to ground LLMs in proprietary data. In practice, however, many organizations are ...

Organisations are beginning to implement zero-trust models for data governance thanks to the proliferation of poor quality AI ...

Ataccama receives the highest Strategy score as enterprises move from observing data problems to enforcing data trust for AI ...

I recently witnessed a bake-off of data quality tools at one of the largest firms in the health care market. The company already invested millions in data quality tools but still suffered from serious ...

Ensuring data quality is an important aspect of data management and these days. DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever ...

BURLINGTON, Mass.--(BUSINESS WIRE)--Precisely, the global leader in data integrity, today announced the latest update to its market-leading data governance solution, Data360 Govern. The new version of ...

Use ESG signals to inform the overall risk posture of a supplier and the intensity of oversight. This does not require turning GCP audits into ESG audits. It means including ESG in risk-based thinking ...