The High Cost of AI Hype

Machine learning has an “AI” problem. With new breathtaking capabilities from generative AI released every several months—and AI hype escalating at an even higher rate—it’s high time we differentiate most of today’s practical ML projects from those research advances. Including all ML initiatives under the “AI” umbrella oversells and misleads, contributing to a high failure rate for ML business deployments. In this keynote address, consultant and bestselling author Eric Siegel shows that, for most ML projects, the term “AI” goes entirely too far—it alludes to human-level capabilities. By unpacking the meaning of “AI,” he'll reveal just how overblown a buzzword it is.