Data is supposed to be your most valuable asset. But without context, governance and clear action triggers, even the best ...

In Achieving Trusted Data: Data Quality, Data Governance and MDM Trends, one of DBTA's latest webinars, data management experts examined the current best practices and key solutions for modernizing ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Ethical data practices can help to ensure innovation delivers value without compromising ...

Responsible AI is an investment in long-term sustainability. The absence of governance can lead to model drift, eroding customer trust and increasing risk.

Governments can’t scale artificial intelligence safely without trusted data foundations, minimum viable governance and clear ...

Trust is fragile, and that's one problem with artificial intelligence, which is only as good as the data behind it. Data integrity concerns -- which have vexed even the savviest organizations for ...

Data Governance at ESF facilitates cross-unit collaboration to improve institutional data infrastructure and to ensure data integrity, security, and accessibility by establishing a set of data ...

Real-time security clearances are becoming increasingly common in the manufacturing of advanced-node semiconductors, where data sharing is both essential and a potential security threat. Data security ...

Zapier reports on the importance of AI governance, emphasizing its role in ethical, secure, and responsible AI use while ...

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 ...