From MIT Sloan experts, practical guidance for launching ventures, shaping strategy, and making innovation work.
Generative AI has the potential to provide smart, tailored financial guidance, early research from MIT Sloan economist Andrew Lo suggests.
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.
Employees should know how generative artificial intelligence works, how companies are using it, and how it compares to other advanced analytics tools.
Assistant Professor Manish Raghavan wants to teach his students how to make good business decisions about deploying (or not deploying) AI-based products and services.
U.S. manufacturing productivity remains flat despite an uptick in new factory and workforce growth in recent years. MIT experts suggest three solutions.
Global, web-based community to pool intelligence to create solutions to address climate change
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.
