Improving Model Management Practices for Machine Learning Teams

In this article, we shed a light on how to identify issues in making Machine Learning (ML) activities more efficient primarily through model management capabilities. However, we do not propose any concrete solution but provides a framework to systematically think about the model management problem. Such a framework is useful to consider for teams that are on the verge of industrializing or scaling their ML systems to address technical debt or gaps while handling ML models. If this is interesting for you, please keep reading.