How to use generative AI to augment your workforce
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.
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.
A new study finds that artificial intelligence has been adopted unevenly in the U.S., with use clustered in large companies, industries such as manufacturing and health care, and certain cities.
Artificial intelligence doesn’t have to trigger a loss of jobs and privacy, writes MIT economist Daron Acemoglu. But only if we modify our approach.
Data is the common language of our time. Achieving data literacy in your organization requires a shared mindset, language, and skills.
Digital advisers guide users through the 24-step Disciplined Entrepreneurship process.
In a new podcast, Susan Athey explains how robotic research assistants can speed up work and test models.
Here are four ways AI is helping to address climate change — and three challenges that remain — from Climate Change AI co-founder Priya Donti.
Additions to the MIT Sloan 2025 – 2026 course list include Intensive Hands-On Deep Learning, AI and Money, and The Arrhythmia of Finance.
From “smart skills” to digital marketing trends, here are the stories readers were drawn to this year.
Three levers — data architecture, data preparation, and data permissions — determine whether data becomes a reusable strategic asset or stays trapped in silos.