%0 Conference Paper %1 weber2020model %A Weber, Christian %A Hirmer, Pascal %A Reimann, Peter %B Proceedings of the 23rd International Conference on Business Information Systems %D 2020 %E Abramowicz, Witold %E Alt, Rainer %E Klein, Gary %E Paschke, Adrian %E Sandkuhl, Kurt %I Springer International Publishing %K myown %T A Model Management Platform for Industry 4.0 - Enabling Management of Machine Learning Models in Manufacturing Environments %X Industry 4.0 use cases such as predictive maintenance and product quality control make it necessary to create, use and maintain a multitude of different machine learning models. In this setting, model management systems help to organize models. However, concepts for model management systems currently focus on data scientists, but do not support non-expert users such as domain experts and business analysts. Thus, it is difficult for them to reuse existing models for their use cases. In this paper, we address these challenges and present an architecture, a metadata schema and a corresponding model management platform.

@inproceedings{weber2020model, abstract = {Industry 4.0 use cases such as predictive maintenance and product quality control make it necessary to create, use and maintain a multitude of different machine learning models. In this setting, model management systems help to organize models. However, concepts for model management systems currently focus on data scientists, but do not support non-expert users such as domain experts and business analysts. Thus, it is difficult for them to reuse existing models for their use cases. In this paper, we address these challenges and present an architecture, a metadata schema and a corresponding model management platform.}, added-at = {2020-06-22T12:15:59.000+0200}, author = {Weber, Christian and Hirmer, Pascal and Reimann, Peter}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/20758fa2d0f482551dde714f495c06796/christianweber}, booktitle = {Proceedings of the 23rd International Conference on Business Information Systems}, editor = {Abramowicz, Witold and Alt, Rainer and Klein, Gary and Paschke, Adrian and Sandkuhl, Kurt}, eventdate = {June 8-10}, interhash = {2223a1279385121844221cdde2669f09}, intrahash = {0758fa2d0f482551dde714f495c06796}, keywords = {myown}, publisher = {Springer International Publishing}, series = {Lecture Notes in Business Information Processing}, timestamp = {2020-06-24T09:52:33.000+0200}, title = {A Model Management Platform for Industry 4.0 - Enabling Management of Machine Learning Models in Manufacturing Environments}, venue = {Colorado Springs, USA}, year = 2020 }