Many businesses overlook a solution to the machine learning talent shortage: upskilling employees.
Business leaders must rethink data management to succeed with machine learning.
MIT SMR Connections
Social listening — analyzing what consumers say on social media — can serve as a treasure hunt map.
Pedro Yip and Vincent Blaclard
New research offers companies a framework for managing successful country portfolios.
Stephen A. Wilson and Megan Beck
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.
A webinar with Tom Davenport, Alex Breshears, and Abbie Lundberg
We’ve unlocked our site and curated reading lists to help you solve your key business problems.
To avoid bias, people-centered design principles must be the foundation of deep-learning algorithms.
David A. Bray and R “Ray” Wang
Artificial intelligence may look poised to tackle tricky business decisions — but it only works for certain sorts of problems.
Susan Athey, interviewed by Frieda Klotz
Australian social service agencies are taking the lead in using bots to improve services.