Data strategy ideas from MIT Sloan Management Review
Using data to build better products and improve job satisfaction builds competitive advantage. Creating “data connectors” can help.
Using data to build better products and improve job satisfaction builds competitive advantage. Creating “data connectors” can help.
Wharton’s Ethan Mollick and MIT Sloan’s Bill Aulet discuss the ways generative artificial intelligence is remaking the competitive landscape of entrepreneurship.
In the short term, artificial intelligence systems may be too costly to use for most tasks.
Organizational leaders shouldn’t expect junior professionals to be a reliable source of expertise for teaching senior staff the tips, tricks, and tactics of generative artificial intelligence use.
Using artificial intelligence to enhance data on clinical trial outcomes can help biomedical firms, investors, and — ultimately — patients.
(Artificial Intelligence, Cybersecurity, Computing, Technology)
MIT researcher argues for a response that goes beyond fighting AI with AI.
From artificial intelligence to supply chains to the future of China’s economy, these books help explain what’s happening in today’s business environment.
A new report from Sloan Management Review and BCG identifies four tensions that organizations must manage when rolling out agentic artificial 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.