A dichotomy has emerged between two types of data science applications: fully automated (i.e., recommender systems and ad placement algorithms) and expert support (data-driven tools that guide — rather than replace — expert decision making). While clear best practices and success stories have emerged around fully automated systems, expert-support tools have received far less attention.

During his talk at DataScience: Elevate, Yonamine introduces the concept of expert-support data science, highlights its importance, and provides best practices to apply within your organization.

Watch more DataScience: Elevate sessions.