The race for dominance in the AI marketplace hinges on who controls its complementary assets, researchers assert.
Consumers approve of firms that do the work to make an industry seem legitimate. Those that free-ride on that “legitimation work” are seen as less authentic.
MIT PhD Ethan Mollick on how organizations can find artificial intelligence use cases, account for errors, and identify the most pressing concerns.
Leaders must rethink the way they manage people and projects to ensure that everyone reaps the efficiency and innovation benefits of generative AI.
AI is a tool to get things done. To use it properly and generate value, organizations need the right capabilities — including a good understanding of data.
Generative artificial intelligence can help designers come up with new ideas, according to a new study.
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.
Top tech leaders are spending less time collaborating with peers and more time meeting customers and developing innovations.
One core operational improvement — moving from a “push” to a “pull” method of scheduling — can have large implications for organizations’ agility.
Adding images to predictive models can help retailers estimate return rates as they decide what to feature on their websites.
