Data Science

Become a stronger leader in the new year. Catch up on 2025’s most-read articles for fresh advice on your toughest leadership challenges.

The Excel spreadsheet era asked, “What happened?” The dashboard era asked, “Why did it happen?” The vibe era asks, “What insights emerge if we explore together?” Consider the gains that real-world companies are already making.

Most AI/machine learning projects report only on technical metrics that don’t tell leaders how much business value could be delivered. To prevent project failures, press for business metrics instead.

These developing issues should be on every leader’s radar screen, data executives say.

Connectors can bridge the organizational gaps that often thwart success with data science projects. Here’s how to manage this new kind of data professional.