AI Strategy

This bonus episode of the Me, Myself, and AI podcast features speakers from Oxford University and LinkedIn in conversation with host Sam Ransbotham.

Technologist Dr. John Halamka gives advice on keeping up with AI-driven change, in this short video.

Consider these three takeaways for leaders on how to avoid pitfalls while using generative AI tools in decision-making.

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.

Artificial intelligence experts debate whether there is alignment around global standards and norms for responsible AI.

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

On the Me, Myself, and AI podcast, Asana CIO Saket Srivastava discusses how AI can help improve project management.

Experts share compelling arguments for and against the creation of a CAIO role to manage AI across an organization.

Learn about current and future opportunities and use cases for artificial intelligence in logistics.

What AI security issues deserve the most focus? Learn from top CIOs and AI experts in this brief video.

Learn which GenAI issues deserve more attention in this brief video with MIT Sloan CIO Symposium speakers.

Learn why humans miss generative AI mistakes and how AI speed bumps help, in this short video.

Watch this short video to learn more about how AI changes the rules of workforce management.

Journalist and podcast producer Jennifer Strong shares insight into her experiences producing audio journalism.

This free webinar offers expert insights on effective data-management strategies for AI adoption.

Smart organizations need smarter KPIs. This report outlines how leaders can create and capture value from smart KPIs.

Three new surveys of data executives have identified five trends they’ll be paying attention to in 2024.

How will your organization use artificial intelligence in the coming year? Consider this roundup of expert advice.

Understanding large language models’ limitations can help users discern which tasks they are and are not well suited for.

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