Artificial Intelligence

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

In this short video, a leadership expert shares ways to distinguish real expertise from AI-assisted interview responses.

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 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.

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

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.

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.