For eight weeks, eight dedicated students from Saxion Hogeschool in Enschede, Westfälische Hochschule in Bocholt, and FH Münster worked intensively on a forward-looking task for KEMPER.
The goal was to identify a suitable multi-language model that would enable KEMPER to use artificial intelligence to quickly and specifically extract information from company data and documents while taking data protection into account.
The students delivered impressive results:
They presented two powerful applications and made a clear recommendation based on well-founded arguments.
Christopher Hohmann, Lilli Kemper, and Marleen Ratering from KEMPER were very satisfied with the results — great proof of the added value of this interdisciplinary format!
We would like to thank everyone involved for their commitment and are delighted with the successful transfer between science and industry in the German-Dutch border region!