As organizations rush headlong into digital transformation initiatives, a critical factor often gets overlooked: data quality ...

Part I When I finished my last article, “Metaphors, Meadows, MUNCH, and Models of the Large Language Kind,” I stated my ...

There is no nationwide federal law in the U.S. that specifically regulates the development, deployment, and use of AI in the ...

The term “governance” has become so widely used that it has lost much of its impact and precision. Originally, governance ...

I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications, ...

In the digital age, businesses rely on high-quality, easily accessible data to guide all manner of decisions and encourage ...

I recently started a doctorate. And because I obviously have too much free time after running my business, teaching, and ...

In boardrooms across the globe, executives are gleefully signing off on multi-million-dollar investments in data infrastructure. Big data! AI! Machine learning! But here’s the inconvenient truth ...

I have been in data, in some form or another, for over 20 years and have come a long way in both my technical and soft skills during that time. There are plenty of roles for data professionals that do ...

In the height of the “big data” craze, we were reminded that the three V’s (reasons that big data was hard and/or necessary) were Volume, Velocity and Variety. If you have a single simple data ...

Experts predict the AI market will grow from $184 billion in 2024 to $826 billion by 2030. And considering the wide range of use cases for AI tools, that’s not much of a surprise. However, while ...