No shortcuts for Generative AI Upskilling
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.
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.
In the short term, artificial intelligence systems may be too costly to use for most tasks.
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.
Wharton’s Ethan Mollick and MIT Sloan’s Bill Aulet discuss the ways generative artificial intelligence is remaking the competitive landscape of entrepreneurship.
Using artificial intelligence to enhance data on clinical trial outcomes can help biomedical firms, investors, and — ultimately — patients.
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.
A new report from Sloan Management Review and BCG identifies four tensions that organizations must manage when rolling out agentic artificial intelligence.
Artificial intelligence can monitor and improve production and quality control on factory floors. The key is focusing on data, not complex AI systems.
In a new book about how technology will affect workers, MIT experts explain how AI is far from replacing humans — but still changing occupations.
Former Alphabet chairman Eric Schmidt said there should be a balance between regulating artificial intelligence and boosting innovation.