Data, AI, & Machine Learning

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.

In baseball, analytics can help with defensive strategy—but using it may reduce fan engagement.

Confirming what people already believe can sometimes help organizations overcome barriers to change.

Join MIT SMR Connections and SAS for a Twitter chat on how to make sure your data is trustworthy.

Investing in cybersecurity capabilities for IoT products is essential, but it requires resources.

A recent study connects the fear of disruption with technology investment at large companies.

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?