Data, AI, & Machine Learning

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?

Organizations can use analytics to help employees chart a path for growth and advancement.

Understanding how a QB processes information may hold the key to identifying future talent.

The act of answering survey questions can increase awareness, which opens the door to development.

If your industry faces disruption, first diagnose the volatility. Then act preemptively to disrupt your own career.

AI offers a helping digital hand to overburdened B2B marketing departments.

People are complex. We need a more nuanced approach to predicting job performance.

A case study report from MIT SMR Connections and AWS shares how pioneering enterprises are using AI.