Data, AI, & Machine Learning

Can an individual football player’s talent be predicted? Wharton professor Cade Massey thinks not.

An infographic highlights research findings on best practices underlying data-driven innovation.

A webinar examines recent innovations in digital talent identification.

Are data analysts who develop strategy truly paid what they’re worth?

New research by MIT SMR Connections and SAS reveals how organizations build trust in analytics.

AI-powered systems are joining humans in the workforce, with implications for management strategy.

10 comments from the past year that we found especially insightful.

Skeptics want to know: How much of a difference do analytics actually make?

We’re in the midst of a big data revolution, but not all companies are flourishing in this new era.

AR sensor data helps businesses optimize user experience and value.

This year’s most popular articles examine how new technology is transforming and disrupting the way we work.

To make AI a strategic differentiator, organizations need to draw from alternative data sets.

A look at 1990s hockey defender Larry Murphy holds lessons for team building.

As AI develops better decision-making skills, leaders may feel threatened and push back.

Cloud computing with rigid borders and boundaries will become a reality in the near term.

Australian social service agencies are taking the lead in using bots to improve services.

Until regulations catch up, AI-oriented companies must establish their own ethical frameworks.

Are the benefits of data sharing with platforms worth the long-term price?

Travel marketers need to recognize and embrace analytical sophistication.

Recording expectations improves decision quality, risk management, and leadership development.