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 ...

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 ...

Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape.

In 2026, data governance has stopped tiptoeing around the edges of organizational strategy and stepped directly into the ...

The arrival of DeepSeek’s R1 large language model (LLM) shocked the global AI ecosystem, causing many in the U.S. and Europe to reevaluate how we approach AI development. While LLMs from large ...

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

It’s a time when large datasets are being leveraged for real-time analysis. Tried-and-true approaches to cobbling together technologies and policies to achieve workable data governance and security ...

Data science startup Domino Data Lab Inc. has become the latest company to introduce a platform for automating governance in artificial intelligence development, saying its extensive experience with ...

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