Data, AI, & Machine Learning

This Me, Myself, and AI episode features the NFL’s Jeff Miller in conversation with hosts Sam Ransbotham and Shervin Khodabandeh.

The consumer goods company combines GenAI and human input to synthesize and assess new ideas and consumer sentiment.

View this five-part video series to learn from leading experts about how AI is transforming the finance industry.

Agentic AI adopters must proactively address decision rights allocations, power dynamics, and decision-making practices.

Security experts share seven steps leaders can take to protect their organizations against deepfake scams.

Why is building a data-driven culture incredibly hard? It calls for a behavioral change across the organization.

Companies are getting real value from generative AI today and building for future transformation by managing risk.

AI’s ability to create value rests on the philosophy determining how and what it learns.

For optimal business innovation, leaders must take a balanced approach to applying generative and analytical AI.

Organizations need to address five key factors to scale AI for tangible business outcomes.

Generative AI can greatly enhance organizational learning, but using it successfully requires the right mindset.

Key follow-up questions can help hiring managers probe beyond job seekers’ GenAI-coached responses.

AI experts Thomas H. Davenport and Randy Bean explain the top AI trends leaders should watch in the new year.

This Me, Myself, and AI episode features Heineken’s Ronald den Elzen in conversation with hosts Sam Ransbotham and Shervin Khodabandeh.

Many organizations aren’t sure how to reap business value from GenAI. This series offers expert insights and examples.

Catch up on MIT SMR’s most popular artificial intelligence articles and get expert advice on solving key AI problems.

Technologist Dr. John Halamka explores how to approach the hard parts of AI strategy, in this short video.

This Me, Myself, and AI bonus episode features previous speakers and synthesis from hosts Sam Ransbotham and Shervin Khodabandeh.

This issue of MIT SMR focuses on improving work design, implementing AI, increasing employee engagement, and more.

Will your generative AI app succeed? A rigorous process for assessing its quality — before and after launch — is key.