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 ...

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

If your prompts influence policy, finance or patient care but live in chat threads, you don’t have innovation — you have unmanaged risk.

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.

This section provides step-by-step guidance for getting started with data governance – how to assess the current situation, establish goals, and create a roadmap tailored to the agency’s needs. There ...

In early 2025, a technical failure at a single Amazon Web Services data centre brought down 113 cloud services for ...

Data is one of organizations' most potent assets in an era of growing competition and artificial intelligence (AI) mandates. However, effectively managing and using it requires balancing strict ...

The ability of airports to leverage spatial data for the benefit of planning, design, delivery, maintenance, and operations has never been more important than it is today. With today’s approach of ...

We now turn to the five necessary steps that organizations must undertake in designing and implementing effective AI governance programs. In our first article (The New Rules of AI: Part 1—Managing ...

Wylie Wong is a freelance journalist who specializes in business, technology and sports. He is a regular contributor to the CDW family of technology magazines. As part of its artificial intelligence ...

Back in 2006, British mathematician Clive Humby stated that data was the new oil. Like oil, data isn’t useful in its raw state and must be refined, processed, and distributed to deliver value. Nearly ...