How to navigate the age of agentic AI
A new report from Sloan Management Review and BCG identifies four tensions that organizations must manage when rolling out agentic artificial intelligence.
A new report from Sloan Management Review and BCG identifies four tensions that organizations must manage when rolling out agentic artificial intelligence.
Patrick J. McGovern (1959) Professor of Management, Professor, Information Technology, Director, MIT Center for Collective Intelligence
In a new book about how technology will affect workers, MIT experts explain how AI is far from replacing humans — but still changing occupations.
Cookies and emojis are out. What’s in: Using artificial intelligence and machine learning to understand social customers in the field and on the fly.
Are you experimenting with artificial intelligence, or are you “AI future-ready”? A new model maps four stages of enterprise AI maturity.
Generative artificial intelligence is a game changer, but it’s not for every task. Here are four ideas to consider from an MIT labor economist.
Artificial intelligence can monitor and improve production and quality control on factory floors. The key is focusing on data, not complex AI systems.
MIT Sloan’s Gary Gensler and Peter R. Fisher advise investors to develop an AI investment thesis and avoid overconfident investing during policy pivots.
In her new book, computer scientist Joy Buolamwini examines the “power shadows” lurking in the datasets used to train artificial intelligence.
New technologies are recognizing and learning human emotions, and using that knowledge to improve everything from marketing campaigns to health care.