SAP Data Intelligence as an MLOps platform

MLOps (from Machine Learning and Operations) refers to the process of managing the production lifecycle of Machine Learning models, including also the concept of collaboration between data scientists, data engineers and IT professionals. The objective is to define recommendations and best practices to automate the process, comply with regulatory requirements as well as provide agility to react to changing business requirements. Even though this procedure is mainly of technical nature, companies where MLOps practices are not implemented efficiently face also a number of business and financial challenges. In this blog post I would like to describe the findings and challenges due to inefficient MLOps we have encountered in several customer engagements and to describe how those challenges can be addressed with SAP Data Intelligence, hoping to provide guidance for others in similar situations. It is a common practice in data science teams to develop on local machines and distribute the developed models via shared drives or even email.