PPM metric for ML systems

[shoumikrc]

The manufacturing industry usually uses metrics such as ppm (parts per million) to qualify features. Any thoughts how to leverage Data-centric approach to build ML systems to deliver double digit errors at the ppm level (e.g 20ppm ==> 0.002% error)