As artificial intelligence tools spread across enterprise operations, CIOs face a practical question that no amount of vendor ...

Depending on the industry where AI is deployed, model data drift can have alarming consequences ranging from financial to ...

Sensitive enterprise data is artificial intelligence's most valuable - and most vulnerable - input. As organizations feed ...

Published in AI & Society, the study titled “Data-centric AI governance for responsible organizational value: evidence from a ...

Air Canada's chatbot hallucinated a bereavement policy that resulted in financial liability through a tribunal ruling. Meanwhile, NACD survey reports that while 62% of organization boards now hold ...

If you’re reading this, there’s a very good chance your organization’s approach to data governance is the exact opposite of what it should be for the AI era. If you’ve read my prior articles, you know ...

AI risk lives at the schema layer, not the model. Learn why database governance matters more than model governance for ...

The explosion in usage of tools like ChatGPT—offering the promise of increased productivity and creativity—is pushing across both personal and professional boundaries. In fact, analyst firm Gartner ...

Does your existing data governance model align with your data and analytics strategies? 55% of data and analytics leaders surveyed reported the lack of standardized approach to data governance as the ...

Major League Soccer (MLS) today announced a multi-year collaboration with DataGrail, the agentic data privacy platform, to power a unified, AI-driven privacy management and data governance program ...

Solution enforces ABAC, encryption, and audit logs for every AI agent interaction with regulated data—independent of ...