Data, AI, & Machine Learning

Chatbots aren’t replacing human customer service agents — they’re making them more efficient.

Smart machines can help pick crops and reduce traffic — but what’s their impact on privacy?

People analytics is at the heart of eSports success.

Unlike the housing bubble, the effects of a bursting AI bubble wouldn’t cause great harm.

A star’s absence, even if it’s just a night off, can mean big financial losses for NBA teams.

Artificial intelligence may look poised to tackle tricky business decisions — but it only works for certain sorts of problems.

Companies must choose whether humans or machines should get the last word on employee performance.

In the race for jobs, the capacity for leisure can give humans a surprising edge.

Elite soccer academies are using analytics to help identify future star talent in the schoolyard.

Organizations need algorithmic smarts to excel in the future of work.

Gillian Armstrong, Eric Kessler, John Ashley, and Abbie Lundberg discuss how to identify opportunities to automate, enhance, or innovate with AI.

By adding new incentives to long-term contracts, teams may be able to offset the likelihood of poor effort.

A conversation with Accenture researchers on recent advances in artificial intelligence and what’s to come.

Technology has made our lives incomparably better but also constitutes one of our biggest threats.

A sports analytics look at how much credit to give a winning team’s coach.

Organizations can benefit from four activities in their journey toward better digital trust.

How CIOs and analytics executives can work together to build cultures that trust data-driven investigation and insights.

The latest debate in baseball is whether out-getting can become more than a post-season fad.

It’s not enough to be right. You also have to sell your model or idea to have an impact.

How can companies and employees find common ground when it comes to skill development for AI?