That in turn could hasten a decline in model quality and accuracy, and an increase in hallucinations and bias. In response to ...

Organisations are beginning to implement zero-trust models for data governance thanks to the proliferation of poor quality AI-generated data, often known as AI slop.

For today’s CISOs, the perimeter isn’t a firewall — it’s the data itself. Hybrid and multi-cloud architecture have created massive volumes of sensitive ...

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

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Dataiku’s field chief data officer for Asia-Pacific and Japan discusses how implementing AI governance can accelerate ...

Angela Virtu, a professor of business analytics and A.I. at American University’s Kogod School of Business, examines why most ...

Abstract: The increasing reliance on artificial intelligence (AI) and advanced analytics to gain competitive advantages has elevated the importance of robust data governance frameworks. This article ...

Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape. Organizations are grappling with growing c ...

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 ...

In today’s rapidly evolving digital landscape, the value of data cannot be overstated. Data has become the lifeblood of innovation, driving decisions, shaping industries, and transforming how we live ...