AI & Machine Learning
How Big Data Is Empowering AI and Machine Learning at Scale
The synergism of Big Data and artificial intelligence holds amazing promise for business.
The synergism of Big Data and artificial intelligence holds amazing promise for business.
What’s happening this week at the intersection of management and technology.
What’s happening this week at the intersection of management and technology.
The key lessons from Kodak’s failure to adapt to digital disruption aren’t what you think they are.
The success of mobile money pioneer M-Pesa shows how addressing sustainability issues opens new opportunities.
Three experts provide their responses to the article “How Useful Is the Theory of Disruptive Innovation?”
Businesses are averting disruption by beating their new competition, joining them, or waiting them out.
The Fall 2015 issue of MIT SMR highlights two themes: developing tomorrow’s leaders, and disruption.
How well does Clayton M. Christensen’s theory describe what actually transpires in business?
A short questionnaire from researchers at MIT Sloan’s Center for Information Systems Research helps assess digital risk.
Twenty-two of world’s top fifty management thinkers have published their work in MIT Sloan Management Review.
What happens when successful companies in emerging markets make the leap into more developed ones?
“Our careers provide the most very tangible, immediate achievement,” says the Harvard Business School professor. But they’re only a piece of the life puzzle.
The death of Digital Equipment Corp. cofounder (and MIT alumnus) Ken Olsen has prompted much conversation about him and the DEC.
When two business models, and two business units, make sense.
According to Clayton Christensen, companies should focus on the job customers are trying to get done when they use a product or service.