Businesses across a plethora of sectors—including healthcare, finances, e-commerce and even manufacturing—are rapidly embracing artificial intelligence (AI). AI has a knack for automating repetitious ...

This past year, companies across the globe learned a hard lesson about data. The pandemic, financial downturn and rise of remote work all combined to make it clear that collecting and analyzing your ...

In the next three to five years, we believe a set of intelligent data apps will emerge requiring a new type of modern data platform to support them. We refer to this as a sixth data platform. In our ...

Best practices like determining what makes data valuable and creating company cultures that promote data sharing will enable businesses to embrace data in the modern enterprise. Provided byHewlett ...

Data science isn’t new, but the demand for quality data has exploded recently. This isn’t a fad or a rebranding, it’s an evolution. Decisions that govern everything from successful presidential ...

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 ...

As a country, we are spending more to get data centers up and running than we spent to build the entire interstate highway system. (Yes, that’s inflation-adjusted.) With tech companies spending ...

The insurance industry, hungry for insights into how people drive, has turned to automakers and smartphone apps like Life360. By Kashmir Hill Kashmir Hill is a technology reporter who has been ...