Why AI Projects Fail

Conceptual image of data inside a cube surrounded by clouds and smoke, image by sasha85ru/Getty Images

Image by sasha85ru/Getty Images

Webinar Details

Date:

Mar 26, 2025

Time:

12:00–1:00 p.m. ET

Location:

Zoom Webinar

How to Join:

Details will be sent to registered attendees.

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Program

By some estimates, more than 80 percent of AI projects fail. That’s twice the rate of failure for IT projects that don't involve AI. RAND's James Ryseff talked to experienced data scientists and machine learning engineers to uncover five root causes that lead to AI failures—and what can be done to minimize these issues.

Speaker

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About This Event Series

This webinar is part of our RAND Policy Lab series focused on the rise of AI. To stay informed about these and other events—as well as the latest RAND research on AI—sign up for our newsletter.