Managing Technology

This Me, Myself, and AI episode features Lenovo’s Linda Yao in conversation with hosts Sam Ransbotham and Shervin Khodabandeh.

Recent research provides insights into how companies’ technology portfolios affect their approach to M&As.

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

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.

Research finds that placing more senior managers in cybersecurity roles can lead to overconfidence about defenses.

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

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

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.

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.

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

Artificial intelligence is unlocking new levels of creativity in how organizations work together.

The second Artificial Intelligence and Business Strategy report of 2024 looks at how organizations that combine organizational learning and AI learning are better prepared to manage uncertainty.

Applying a comprehensive cost-benefit analysis to generative AI use cases will highlight where the technology pays off.

Relying on generative AI tools to boost human efficiency can lead to more homogenous, less-original work outputs.