About three years ago, Steven Adler was running the privacy consulting practice at IBM. As he talked with IBM customers, he discovered that many of the large customers had some pretty complex IT ...

Many companies are choosing to build their own AI systems, rather than buy. Financial services firm Kapitus shares lessons learned.

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 ...

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

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

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

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 ...

AI isn’t just expensive to run — it’s expensive to govern. And unless finance, risk and tech align, AI projects stall or fail ...

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

Data governance sets clear standards for data processing across your organization. This guide will help you understand what makes for good data governance. Explore ...