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AI Engineering Quick Check

The AI Engineering Quick Check is our format for the development of AI/ML-enabled products. The purpose is to get an overview of current or planned development activities - starting from data engineering to model management and pipeline/workflow automation. As the operationalization of AI/ML prototypes (MLOps) often fails in practice, we analyze which techniques are already in use and which competencies can potentially be targeted to master complexity and traceability. This survey contains a snippet of the AI Engineering Check, which is our tool for the development of AI/ML-enabled products.

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Fri 23 Sep 2022

The purpose is to get an overview of current or planned development activities - starting from data engineering to model management and pipeline/workflow automation.

As the operationalization of AI/ML prototypes (MLOps) often fails in practice, we analyze which techniques are already in use and which competencies can potentially be targeted to master complexity and traceability.

Date modified 31.10.2025
Date Published 23.09.2022