This report provides a guideline for the successful deployment of ML and AI solutions in manufacturing environments.
| Topic Fields | |
| Published | 2021 |
| Involved Institutes | |
| Project Type | ICNAP Community Study |
| Result Type | |
| Responsibles |
For this purpose, the deployment is broken down into the five components competence analysis, deployment design, productionizing & testing, monitoring, and retraining. Relevant decisions and tasks for each component are described in detail. Furthermore, the selection of frameworks and tasks is treated as an overarching topic of deployment. Along the development of a methodology for each component of the guideline, an illustrative use case for an existing trained model was worked on for a hands-on realization. The implementation serves to apply the developed procedure and the presented tools. Even though a predictive quality use case was used, the methodology is not limited to said area of application.
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