QualityCapitalization  All stages of Machine learning project are implemented (pipeline, components, tests), respecting quality standards All valuable code is re-usable by community Data Analysis models are monitored (technological watch) and partnerships are developed   Health of the métier  The métier is well supported by the data scientist network with proposals for improvements to develop people, techniques, processes