Methodological and conceptual work at SQC generally goes along with technological realizations. Therefore, scientists at SQC develop both single tools and complete development and test environments. Open source software provides medium- to long-term perspectives for the operative business.
MLOps encompasses the deployment, monitoring, and maintenance of machine learning models in production environments, demanding strict adherence to quality standards.
Our methodology tackles the critical challenge of quality assurance and testing for AI-enabled systems, particularly those based on machine learning (ML).
Fraunhofer Institute for Open Communication Systems