What is the relationship between big data and data centric approach? Or how will big data impact data centric approach
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)