Pereira, RicardoPereira, Mónica Moreira Guerreiro2021-09-012023-01-042021-01-182020-01-04http://hdl.handle.net/10362/123543In this paper, based on a clustering process of organizations regarding levels of Machine Learning maturity–the ability to deliver an end-to-end automation process, while defending responsible ML capabilities–,it is proposed a new framework to guide consultants in their role to deliver the most suitable recommendations for any corporate client being served. This includes a method to evaluate in which cluster a given company fits, which in turn associates to a set of rules and priorities to reach a higher level of ML maturity.engMlopsMachine learningBusiness automationManagement framework developmentGovernance.master thesis202739660