AI & Machine Learning

Which AI tool is the best option for solving your problem? Follow this pragmatic advice to figure it out.

This Me, Myself, and AI episode features Harvard Business School professor Raffaella Sadun in conversation with hosts Sam Ransbotham and Shervin Khodabandeh.

Apply a comprehensive cost-benefit analysis to GenAI use cases to identify where the technology may pay off.

Leaders detail Agoda’s development of a KPI that accounts for external factors and aids strategic goal alignment.

This bonus Me, Myself, and AI episode features MIT professor David Autor and MIT CSAIL Alliances host Kara Miller.

Balance the rewards and risks of Bring Your Own AI tools and reap innovation gains.

Causal ML helps managers improve decision-making by enabling them to explore different options’ potential outcomes.

Should a chief data officer lead data and AI efforts? Three potent forces will determine the future of the CDO role.

On this Me, Myself, and AI bonus episode, MIT CISR researcher Barbara Wixom shares insights from 30 years in the field.

The goal isn’t eliminating technical debt but managing it, focusing on the highest-value fixes, and supporting innovation.

Experts Thomas H. Davenport and Randy Bean discuss AI’s business impact and what leaders need to pay attention to now.

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.

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.