Elaine Lu

How to find unique use cases for AI and places where moderate AI performance is still valuable Elaine Lu · Follow Published in Towards Data Science · 7 min read · 9 hours ago — by Author The success of integrating AI heavily depends on choosing the right AI use case. This is a perspective for product-oriented technologists before diving into algorithms, data, and engineering. AI projects often fail because they were actually non-starters, not

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