DaWiK – Ein KI-gestützter Ansatz für digitales Wissens- und Kompetenzmanagement

Abstract

DaWiK – An AI-supported Approach for Digital Knowledge and Competence Management – A Case Study from the Automotive Supply Industry. Effective competency management is increasingly vital for companies facing demographic changes and higher turnover, as it enables optimal talent utilization and development, enhancing productivity and work quality. Semantic technologies allow precise modeling and identification of competency gaps, supporting targeted development measures. The DaWiK project has developed a data-driven approach, using the Semantic Text Analysis Pipeline (STAP) to systematically capture requirements from unstructured data like job postings, enabling companies to steer competency development with precision and a future-oriented focus.