Strategies for AI and Cognitive Tools
Many leaders are building AI into their DNA. Some are still experimenting and some are pursuing AI at scale. This guide, a compilation of insights from MIT SMR, gives leaders research-based frameworks for how to think about changing your leadership, your culture, your data, and your talent in order to incorporate AI into your organization’s DNA.
Articles included in this collection:
When People Don’t Trust Algorithms
Berkeley J. Dietvorst, interviewed by Paul Michelmam
Reshaping Business With Artificial Intelligence: Closing the Gap Between Ambition and Action
By Sam Ransbotham, David Kiron, Philipp Gerbert, and Martin Reeves
The Fatal Flaw of AI Implementation
By Jeanne Ross
What You Need to Know Before Starting a Platform Business
Richard Schmalensee and David S. Evans, interviewed by Martha E. Mangelsdorf
The Subtle Sources of Sampling Bias Hiding in Your Data
By Sam Ransbotham
What to Expect From Artificial Intelligence
By Ajay Agrawal, Joshua S. Gans, and Avi Goldfarb
Digital Today, Cognitive Tomorrow
By Ginni Rometty
Predicting a Future Where the Future Is Routinely Predicted
By Andrew W. Moore
Just How Smart Are Smart Machines?
By Thomas H. Davenport and Julia Kirby