Case Study
Monday, March 04
06:00 PM - 06:30 PM
Live in Munich
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Since LLMs are on everyone’s minds, lips, and screens, corporations scramble to find useful applications for their business cases. For insurance companies, for example, customer interactions are an exciting area of use that promises great potential. However, there are still big challenges to be solved on the data management side as and models need to be tailored to industry constrains before GenAI powered chatbots can be fully implemented. What is needed is a data strategy, which takes these challenges into account and identifies and selects the right data assets to train specific GenAI.
Felix Wenzel joined the ERGO Group in 2004. He earned his credentials in the ERGO Finance Department by managing numerous projects, both in the Asset Management and IT areas. Fascinated by the complex business model of a primary insurer, he took over a team responsible for data management, reporting, self-service business intelligence and analytics within the P&C segment of ERGO Germany. In his current position as Head of Data Engineering at ERGO Digital Ventures, his team has a group-wide mandate for the Advanced Analytics IT infrastructure and corresponding data pipelines into ERGO's analytical data landscape. Felix Wenzel has worked as a professional for banks and consultancies and holds a degree in Business Administration and Information Science from the University of Hamburg.