A machine-learning platform is the shared infrastructure on which every model is built and run: data and feature stores, training infrastructure, experiment tracking and the model registry, compilation and serving, monitoring, and the checks a model package passes on its way to production, owned by one team and used by all.
Quantitative Finance · Glossaire