Analytics & Business Intelligence

Combining cutting-edge AI and MIT expertise, the Culture 500 provides a nuanced picture of corporate culture in the world’s top organizations.

Tim O’Brien explains his role as Microsoft’s first full-time manager for AI policy and ethics.

New competitors will require consumer packaged goods companies to engage directly with consumers.

Counterpoints looks at predicting the college football playoffs with UW-Madison’s Laura Albert.

Five capabilities and four practices help companies generate business value from AI applications.

New research by MIT SMR Connections and NETSCOUT reveals IT leaders’ data analytics priorities.

AI is making it possible for companies to reach a new level of customer-centric marketing.

Analytics from ESPN have shown just how important the offensive line is in the NFL.

People analytics is at the heart of eSports success.

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.

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.

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

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

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.