Abstract
In today's insurance landscape, harnessing advanced analytics and deep learning in input management offers a strategic edge. Our focus is document classification and data extraction, which in the end enables process automation along the entire insurance value chain. We reveal our transition from rule-based engines to deep learning in our custom modeling and operationalization environment - the AI factory. Discover how these innovations empower competitive advantages, not only in the input management directly, but also in all subsequent processes.
(Der Vortrag findet in deutscher Sprache statt.)
About
Raphael Kronberg studied applied mathematics, computer science and Ai & Data Science at Heinrich Heine University Düsseldorf. Since 2022 he has been working as a Machine Learning Engineer at ERGO Group AG Düsseldorf.
