IT Governance & Leadership

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

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

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 bonus episode features previous speakers and synthesis from hosts Sam Ransbotham and Shervin Khodabandeh.

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.

This Canadian bank has become known for developing AI tools that are both innovative and responsible.

Experts in artificial intelligence debate how prepared organizations are to comply with the EU AI Act’s requirements.

Experts debate how effectively organizations are adjusting risk management practices to govern AI.

Learn how grassroots automation helps companies speed up digital transformation efforts.

Business leaders can identify and avoid flawed AI models by employing statistical methods and statistics experts.

Learn three principles for reorganizing work around AI.

The nonprofit is delivering technology and services to help its staff build AI applications efficiently and safely.

On the Me, Myself, and AI podcast, Mark Surman discusses Mozilla’s work to protect internet users as AI tools multiply.

Regulators want better cybersecurity oversight by corporate boards. Here’s how to find a qualified expert director.

Unilever examines its AI projects with a risk analysis process that looks specifically for ethical trouble points.