Predictive AI Usually Fails Because It’s Not Usually Valuated

Originally published in Forbes

Why in the world would the decades-old industry of machine learning need a completely new paradigm?

Imagine you’re developing a rocket. If you don’t stress test it—in its intended usage (via simulations, wind tunnels, etc.)—then its launch will be a shot in the dark, if not entirely scrubbed by sensible decision makers.

That’s the status of most enterprise ML projects, aka predictive AI. The industry hasn’t…