The goal of the exploitation phase is to develop productized data science services. Model productization is a software engineering journey with data science support.
In contrast with previous phases, the exploitation phase is very suitable for the Agile (Scrum) approach. A team of software developers with a conceptual data science understanding is joined by a data scientist who has developed the model that they need to productize. Together they split the functionality of the model into autonomous components and productize each component in Scrum sprints.
Once the model has been productized it is fast, maintainable, secure and scalable and therefore ready for sustainable utilization.