Artificial Intelligence
Ideas and insight about artificial intelligence from MIT Sloan.
Cybersecurity plans should center on resilience
By
Organizations must base their cybersecurity strategies on resilience — the ability to weather an attack with minimal damage to data, finances, and reputation.
Better predictive models could reduce clothing returns
By
Adding images to predictive models can help retailers estimate return rates as they decide what to feature on their websites.
What’s next for generative AI: Household chores and more
By
Two AI practitioners explain how “Large X models” that turn text into actions may ultimately allow generative AI to water plants and peel potatoes.
How to add generative AI to your technology strategy
By
At food service company Sysco, generative artificial intelligence is another tool that optimizes sales, processes, and supply chains.
New study shows why AI adoption may be slow
By
In the short term, artificial intelligence systems may be too costly to use for most tasks.
LinkedIn’s chief economist: Gen AI will impact ‘solidly middle-class’ workers
By
A LinkedIn analysis predicts that the jobs of 55% of the platform’s users will be impacted in some way by the adoption of generative AI.
A generative AI tool to inspire creative workers
By
Generative artificial intelligence can help designers come up with new ideas, according to a new study.
The who, what, and where of AI adoption in the US
By
A new study finds that artificial intelligence has been adopted unevenly in the U.S., with use clustered in large companies, industries such as manufacturing and health care, and certain cities.
How businesses can find and prioritize AI opportunities
By
Société Générale is experimenting with generative artificial intelligence to achieve business outcomes.
How generative AI is changing entrepreneurship
By
Wharton’s Ethan Mollick and MIT Sloan’s Bill Aulet discuss the ways generative artificial intelligence is remaking the competitive landscape of entrepreneurship.