Insights for developing and executing AI strategy at the leadership, organization, and talent levels.
Digitalization can’t deliver agility or reliability unless you first determine data access, quality, and lineage.
Organizational leaders can begin to address racial discrimination in the workplace by taking strategic actions.
Derek R. Avery and Enrica N. Ruggs
To launch successful products that delight customers, companies need a new approach to data analytics.
Barbara H. Wixom, Ronny M. Schüritz, and Killian Farrell
Swarm systems draw input from individuals and use algorithms to optimize system performance in real time.
Mark Purdy, Ray Eitel-Porter, and Max Klymenko
Collisions between innovators and existing players are forcing executives to rethink their strategy.
Marco Iansiti and Karim R. Lakhani
MIT SMR authors David Bray and R “Ray” Wang discuss how people-centered design principles can serve as a framework in AI implementation.
R “Ray” Wang, David A. Bray, and Allyson MacDonald
Companies already use data to make marketing decisions. Will deep learning enable a leap forward?
Glen Urban, Artem Timoshenko, Paramveer Dhillon, and John R. Hauser
Tom Davenport, Alex Breshears, and Abbie Lundberg discuss the specific challenges enterprises face in machine learning, and how they can create an end-to-end, factory-like capability.