“If your competitors are applying AI, and they’re finding insight that allow them to accelerate, they’re going to peel away really, really quickly,” Deborah Leff, CTO for data science and AI at IBM, ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Given these numbers, businesses are highly motivated to turn these projects into successful ...

Did you know that over 80% of AI projects fail? That's twice the failure rate of regular IT projects. A Gartner survey found that only 48% of AI projects make it to production, and it typically takes ...

Mark Daniel Ward (first row, far left) and students from The Data Mine visit Cummins in Columbus, Ind., on March 4. Fifteen students currently are working on a data science project with Cummins.

Moving data science into production has quite a few similarities to deploying an application. But there are key differences you shouldn’t overlook. Agile programming is the most-used methodology that ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

Debate and discussion around data management, analytics, BI and information governance. When we think of empathy in a career, we perhaps think of a nurse with a good bedside manner, or perhaps a ...

Arezou Soltani Panah receives funding from the Australian Red Cross. Anthony McCosker receives funding from the Australian Red Cross. Data science has boomed over the past decade, following advances ...