State and local governments are embracing data modeling and governance strategies to advance efficiency, sharpen decision-making, and elevate their service delivery. In so doing, they’re helping ...

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

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.

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

More than any other factor, the hyperabundance of accessible data has powered today’s surge in AI adoption and generative AI capability. Collecting, cleaning, organizing, and securing that data for AI ...

Canadian AI and Data Analytics Firm Achieves Certification to Deliver Industry-Leading DCAM Assessments TORONTO, ONTARIO / ACCESS Newswire / February 2, 2026 / Bronson.AI, a boutique Data and AI ...

In a Policy Forum, Doni Bloomfield and colleagues discuss the need for expanded – yet tailored and flexible – governance for the biological data used to develop powerful artificial intelligence (AI) ...

The Department for Work and Pensions (DWP) has published a “data strategy” document that sets out what it believes it will ...

Data fabric is a powerful architectural approach for integrating and managing data across diverse sources and platforms. As enterprises navigate increasingly complex data environments, the need for ...

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

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 ...