The Value Translation Gap: AI's Deployment Problem

In this episode of The Edge, we sit down with Eric Siegel, a 30-year machine learning veteran and founder of Gooder AI, to discuss the critical challenges enterprises face in deploying predictive AI models.

Episode Highlights:

The Deployment Problem

• Introduction to the "Value Translation Gap" in enterprise AI
• Why only 15-20% of predictive models reach production
• The four critical predictions businesses rely on: who will click, buy, lie, or die

Why Models Fail

• The "metrics mirage" problem in AI deployment
• Understanding the workflow-reality gap
• Scale challenges in moving from pilot to production
• Implementation costs (26%) and ROI translation (18%) as key barriers

BizML Framework