Data science startup RapidCanvas Inc. today announced that it closed a $16 million funding round led by Peak XV,. Titanium Ventures, Accel and Valley Capital Partners also contributed to the ...

In this special guest feature, Afrozy Ara, Head of Data Science practice at Incedo, suggests that given the difficulty in running a successful data science project, there are some specific reasons why ...

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 ...

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, ...

Spurred by its revenue-boosting potential, companies are increasingly embracing AI technologies across their organizations. Harris Poll, working with Appen, found that 55% of businesses accelerated ...

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 ...

This course focuses on developing the foundational skills of a modern data scientist including data cleaning, wrangling, visualization, and communication. Students will actively engage with R and ...