The convergence of AI capabilities with mature data governance represents an unprecedented opportunity to make government more efficient and businesses more competitive. The foundations are in place ...

The second approach uses generative AI to produce data. Modern generative models are trained on vast amounts of data and can ...

Everyone wants to talk about chatbots, machine learning models, generative AI tools, and AI agents. What they don’t want to ...

Second-guessing the data you'll need for future AI initiatives might seem like an intractable challenge, but there are some crucial things you can do to prepare.

Diego Jarne Munoz of PwC outlines how repeatable architectures, strong governance, and measurable use cases help enterprises ...

For enterprises, proprietary data is a source of competitive advantage. Take these four steps to ready it for AI-powered ...

In my courses for Columbia's M.S. in Applied Analytics program, I emphasize analytical thinking as one of the most critical ...

The key is to balance offense and defense. by Leandro DalleMule and Thomas H. Davenport More than ever, the ability to manage torrents of data is critical to a company’s success. But even with the ...

Denison Mines Corp. engages in the exploration and development of uranium. The firm has interests in the Athabasca Basin, Wheeler River, Midwest Project, McClean Lake, and Waterbury Lake. The company ...