This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.
This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.
A high-quality database must be given to fully use the potential of artificial intelligence (AI). Especially in small and medium-sized companies with little experience with AI, the underlying database quality is often insufficient. This results in an increased manual effort to process the data before using AI. In this contribution, the authors developed a concept to enable inexperienced users to perform a first data analysis and record data with high quality. The concept comprises three modules: accessibility of (meta)data and knowledge, measurement and data planning, and data analysis. The concept was implemented as a front-end demonstrator on the example of an assembly station.
Data Governance, Data Literacy
Machine Learning, Data Analysis, Measurement and data planning
Published: 2023-05-05 22:06
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