Ongoing Projects
INSIGHT – Intelligent Synthesis and Generation of High-quality Test Data
In the INSIGHT research project, we address a key challenge in digital transformation and software development: the lack of high-quality, realistic test data. This shortage significantly affects the efficiency and accuracy of software testing and leads to delayed market releases as well as potentially suboptimal solutions. The project develops methods for generating synthetic test data to enable efficient and reliable testing of software systems while complying with data protection regulations.
Completed Projects
DaFne – Data Fusion Generator Platform for Artificial Intelligence
The generation of synthetic data plays a crucial role in the development of AI methods, especially where training data is not sufficiently available or not available in a suitable form. The goal of the DaFne project was to improve the usability of data generation methods for AI researchers and developers through an innovative, flexible, and extensible platform.
KidVi – Artificial Intelligence and Digitalization in the Insurance Industry
The KIDVi project addressed the challenge of efficiently processing relevant business information from historical databases. The goal was to combine expert knowledge from the insurance industry with AI-generated knowledge to reduce processing times and improve profitability as well as customer satisfaction. The methodology was also transferable to other industries.