Taking back control of data requires a commitment to developing enterprise-wide visibility into where data resides, how old ...

As healthcare data grows more complex and cyber threats become more severe, the need for strong data governance and cohesive, system-wide analytics strategies has never been greater. Yet even today, ...

Overview: Enterprises are depending on AI-powered data governance software to ensure data quality, security, and compliance ...

To govern AI safely and keep its speed advantage, enterprises must move from static, rule-based control systems to adaptive, ...

A Competitive Takeout Program designed to help organizations escape the high cost and complexity of legacy metadata ...

Informatica from Salesforce, a leader in enterprise AI-powered cloud data management, today announced it has been named a Leader in the Gartner (R) Magic Quadrant (TM) for Data and Analytics ...

The BFSI industry is a highly regulated sector wherein companies need strong data controls to comply with stringent standards ...

Complementary solutions automate discovery, governance, and enforcement of data sharing and transfer Together with ...

David Littler from enChoice UK discusses the AI governance in the public sector, focusing on bridging the gap between its ...

Fast Company Executive Board member Deepti Kunupudi shares best practices for fairness, transparency, accountability, and privacy in AI.

Data governance involves the comprehensive management of data availability, usability, quality, and security. At Purdue University, data governance is supported by a collaborative data community ...

Data governance might be necessary - but it's anything but easy, and it's never complete. A recent post grossly oversimplified the solution - time for a rebuttal. There is a limit to how much nonsense ...