Why Do AI Projects Fail?
85% AI projects fail, 6 reasons why Elaine Lu · Follow Published in Towards Data Science · 9 min read · 12 hours ago — by Author Beneath apirational headlines and explosive technical advances, AI projects have a poor track record. Gartner, HBR estimates up to 85% AI projects fail before or after deployment, double the rate for software. It’s well known AI is harder to deploy than software: AI has indeterministic outcomes. AI experiences