AI-powered automation is increasingly appealing to companies amid layoffs and pandemic restrictions, but it means job loss for some.

As of July 1, California began enforcing its controversial digital privacy law despite a call for a delay in enforcement due to the COVID-19 pandemic and a lack of readiness by many companies.

Artificial neural networks can do more than power fun meme generators; they also have myriad practical enterprise applications.

Workplace and culture changes during the pandemic may shift fears about automation adoption by enterprises.

Things have gotten quieter around self-driving cars and aircraft, but there is still movement in the sector—and the advances have value in the enterprise.

It's clear that enterprises are interested in making artificial intelligence and machine learning advances, but what's less obvious is how they can do so effectively.

With GDPR and CCPA in place, and a number of state initiatives in progress, the call for a federal data privacy law is getting louder.

Data is bigger, more informative, more important than ever. Here are some basic considerations for enterprises that want to make the most of it.