We are in the fourth wave of artificial intelligence. In his new book, Alex Pentland says understanding AI from the 1960s, 1980s, and 2000s can help us develop technology that supports shared wisdom.
A study found that trained LLMs can identify what customers want as well as expert market reach analysts, who are freed up to apply their expertise to high-leverage tasks.
Three AI implementation guides from MIT provide research-based insights on AI maturity, which AI tool to use, and the human capabilities that will be even more essential in the future.
New books this year cover ecosystems, entrepreneurship, dynamic work design, and the paradox of meritocracy.
Climate ventures are capital-intensive, take years to scale, and face unique hurdles. Standard advice doesn't always apply. MIT experts explain why these businesses need their own framework.
Quantum computing is being mentioned more often in company earnings calls and public documents as industry and government leaders’ interest in the technology grows.
Leaders who actively design for the widespread use of data assets generate three times the revenue from data monetization compared with their peers.
Commercial quantum computing is now years, rather than decades, away. It’s time for business leaders to start tracking its evolution.
The AI hiring revolution doesn’t have to be a story of automated bias, argues MIT Sloan’s Emilio J. Castilla. Tough questions and constant monitoring can lead to fairer systems.
Organizations see success by starting with smaller AI transformations. Aiming for incremental value builds a foundation for sustainable results.
