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 ...

AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.

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

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

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

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 ...

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

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

Dr Gulzar Singh explains how the growing use of synthetic data and constructed decision environments in banking has quietly outpaced the governance frameworks designed to ensure accountability, ...