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 ...

Much of the broader business world is struggle to answer the question: What does data science mean to our business? Lots of money has been spent on technology, consulting, with mixed results. Often ...

“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, ...

We targeted early adopter organizations that were well ahead of the curve with dozens to hundreds of projects in production. Given that each organization had dozens of data scientists or more on their ...

Beginners should undertake data science projects as they provide practical experience and help in the application of theoretical concepts learned in courses, building a portfolio and enhancing skills.

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Data science is the current powerhouse for organizations, ...

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 ...