Microsoft chief scientist Jaime Teevan on why leaders should look beyond productivity gains when evaluating where to deploy generative artificial intelligence.
Showcases a leader leading in a time of crisis, identifies the leadership skills and strategies to turn a crisis situation into an opportunity for growth and innovation, conveys strategies to grow and sustain a business in the sports, media, and entertainment industries, explores and appreciates t...
Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.
New books this year cover ecosystems, entrepreneurship, dynamic work design, and the paradox of meritocracy.
The framework offers new and viable directions for improving worker health and well-being while maintaining or enhancing employee engagement and productivity.
As AI capabilities advance, the window for shaping whether the technology augments or replaces workers is narrowing. Decision makers need to step up, MIT researchers say.
To realize the greatest gains from artificial intelligence, we must make the future of work more human, not less.
New books from MIT Sloan faculty and experts on a future-ready workforce, game theory, AI, and more.
Executives from financial services firms discuss early adoption of AI in the industry, reasons for caution, and the benefits of partnering with fintechs.
Vivian Graves, MBA ’19, founded Otis to alleviate the many medical and financial burdens on pets, pet owners, and veterinarians.
