Managing Technology

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.

After deploying hundreds of AI solutions, financial services company USAA is breaking new ground with generative AI.

Learn how to transform employees’ use of publicly available GenAI tools at work from organizational liability to asset.

The right data and the right people are essential to AI success.

Cyber resilience demands the creation of a thorough, well-rehearsed crisis communications plan.

Mathematica CIO Akira Bell discusses the role of the chief information officer and best practices on data governance.

Businesses must thoroughly evaluate the risk of deploying a new technology to avoid reputational and financial damage.

Biometric technologies raise new issues of surveillance and privacy that can put customer trust at risk.

Organizations can develop effective digital twins despite limited training data by combining AI and human knowledge.

Learn how deep-tech startups in materials, biology, energy, and computing can help enterprise innovation efforts.