Towards a low-code solution for monitoring machine learning model performance

As the use of machine learning techniques by organisations has become more common, the need for software tools that provide the robustness required in a production environment has become apparent. In this paper, we review relevant literature and outline a research agenda for the development of a low-code solution for monitoring the performance of a deployed machine learning model on a continuous basis.