I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

Gartner predicts that by 2028, 50% of organizations will have had to adopt a zero-trust posture for data governance as a ...

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 ...

Enterprises are not short on AI ambition. What they lack is a governance model that keeps pace with how AI is actually being ...

Silent schema drift is a common source of failure. When fields change meaning without traceability, explanations become ...

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 ...

Absent a comprehensive federal AI framework, agencies should be guided by four governance priorities. While the federal ...

For decades, data governance in regulated financial institutions has rested on a familiar foundation. Policies are documented ...

A phased guide to AI governance in cloud-native systems, aligning ISO 42001:2023 and NIST AI-RMF with lifecycle controls, ...

The proliferation of AI data, evolving regulatory requirements and risk of large language model (LLM) collapse will help to drive take up of zero trust approaches to data governance in the next two ...

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 ...

Traditional model validation assumes a model can be tested in isolation, signed off, and then left unchanged. That approach ...