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

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 ...

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 ...

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 ...

Overview of the Agentic Trust Framework (ATF), an open governance spec applying Zero Trust to autonomous AI agents, with ...

New York - Credit Suisse is in the process of completing a data governance model aimed at improving reference data management, according to a speaker at the North American Financial Information Summit ...