Architecture of a real-world Machine Learning system

This article is the 2nd in a series dedicated to Machine Learning platforms. It was supported by Digital Catapult and PAPIs. In the previous article, I presented an overview of ML development platforms, whose job is to help create and package ML models. Model building is just one capability, out of many, required in ML systems. I ended that article by mentioning other types of ML platforms, and limitations when building real-world ML systems.