Seminar / April 20, 2021 - April 21, 2021
Achieving High Data Quality in Production
AI offers the potential to increase product quality and process efficiency, while decreasing scrap rates and machine downtimes. Success stories of AI and ML in production are already known. However, companies often lack the methodological knowledge to carry out AI-projects, which tools to be used for AI-implementations and experience in dealing with ossible problems during implementation.
During the seminar, you will learn, which steps are necessary to implement AI in production using concrete use cases as examples. The individual steps are accompanied by practical exercises in which you as a participant preprocess data sets, train ML-algorithms and evaluate the results of these models yourself using the Python programming language.
Enable you as a company to successfully implement AI-projects and gain programming experience for ML-implementation.