Data, AI, & Machine Learning

Must-reads for managing in a digital age: hacking inequality at home, the AI jungle, and why you should kill your favorite meeting.

As AI becomes more ubiquitous, we need clear systems for keeping it in check.

The post-digital tech wave — a powerful, integrated stack of technologies — is coming next.

This week’s must-reads for managing in the digital age.

MIT SMR and BCG host a Twitter chat focused on the corporate adoption of AI.

As sports become ever more analytical, can there be such a thing as too much data?

How cities deal with AI-related changes will determine which ones will thrive in the future.

The time when companies could simply ask the world to trust AI-powered products is long gone.

Counterpoints looks at whether analytics can quantify team chemistry.

A successful pitch for AI must overcome economic, technical, political, and cultural hurdles.

Defensive analytics are shaping how NBA basketball strategy is evolving.

Five essential management practices illustrated through the lens of sports analytics.

A webinar describing what companies need to effectively use AI and automation for operations.

Analytics can help NBA teams make better draft pick decisions.

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.

MIT SMR‘s Summer 2019 issue takes a closer look at the cultural changes adopting AI may require.

A mental vacation is good for your powers of creativity.