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Schmittlein arrived on campus in 2007 “not to change MIT, but to help it be the best version of its distinctive self.”

Without a clear strategy, corporate sustainability efforts often represent sunk costs. New research explains how to align digital sustainability with corporate goals.

Companies need a plan for when employees use unapproved, publicly accessible generative artificial intelligence tools for work-related tasks.

Experts say those making decisions about AI should engage proactively with policymakers and consider worker voice and well-being.

This Entrepreneurial Strategy Compass from MIT Sloan helps startups avoid conflicting advice and choose the right path to commercialization.

Using the wrong datasets to train AI models can result in legal risks, bias, or lower-quality models. The Data Provenance Initiative’s tool can help.

Generative AI and financial data are opening up the digital economy to more consumers and small businesses, but crypto concerns remain.

Are you experimenting with artificial intelligence, or are you “AI future-ready”? A new model maps four stages of enterprise AI maturity.

Artificial intelligence can be useful in the workplace, but humans have to first define what success looks like, according to MIT Sloan’s Danielle Li.

Having access to a wider variety of institutional investors allows companies to better maintain access to capital, research shows.