Media Information, 12 Juni 2023

ERGO publishes white paper on ChatGPT and large language models

Person tippt auf Laptoptastatur etwas in ChatGPT

Guideline gives comprehensive overview of potentials and challenges when using technologies in insurance companies

The ERGO Innovation Lab has published a roughly 30-page white paper on AI applications and their underlying language models. With the “ChatGPT and large language models: An introduction with a view to the insurance industry” guideline, several ERGO experts from the areas of machine learning, conversational AI and innovations share their extensive knowledge of large language models (LLMs). In individual chapters, they explain in detail both the functionalities and potentials of the models, as well as their possible risks and limits. The authors also use concrete practical examples to show how texts can be produced, dialogues conducted or data classified with corresponding tools. This is true of both the insurance industry and other industries.

Jens Sievert, Innovation Manager at ERGO Innovation Lab, says in this regard: “AI applications such as ChatGPT and the like have huge potential for the insurance industry, where every day there are hundreds of thousands of customer touchpoints in which language has to be processed. Insurance companies are therefore predestined for the use of language models and language-based tools. But the insurance industry is also one of the most heavily regulated industries that there is, which is why the use of technologies has to be carefully considered and implemented. With our white paper, we therefore give an initial, comprehensive orientation and show what companies must pay attention to here.”

ERGO has great expertise in the use of language models and rule-based voice assistants. For example, the ERGO Advanced Analytics and AI Unit already uses LLMs to classify and extract information from documents. The ERGO Voice Unit has in turn been designing rule-based phonebots for Customer Service on the basis of artificial intelligence since 2020, and is already working on a GPT-based prototype. In the ERGO Innovation Lab in Berlin, GPT language models and ChatGPT applications are also being tested for their potential in a dedicated “opportunity space”.

All this practical knowledge has gone into the white paper that has now been published and is available for all interested parties to download free of charge.

ERGO Whitepaper ChatGPT and language models (German Version)

409 KB

If you have any questions, please contact

Sabine Saeidy-Nory

ERGO Group AG
Media Relations

Tel +49 211 477-3012 
sabine.saeidy-nory@ergo.de 
mediarelations@ergo.de

Sabine Saeidy-Nory

Further information

ERGO is one of the major insurance groups in Germany and Europe. The Group is represented in over 20 countries worldwide, with a focus on Europe and Asia. ERGO offers its retail and corporate customers a broad product portfolio in all the main clas-ses of insurance as well as comprehensive assistance and other services. Three units operate under the umbrella of ERGO Group AG: ERGO Deutschland AG, ERGO International AG and ERGO Technology & Services Management AG. The German and international businesses as well as the global management of IT and technology services are organized in these units. About 38,700 people work either as salaried employees or as full-time self-employed sales representatives for the Group. In the 2023 financial year, ERGO generated insurance revenue of 20.1 billion euros and a net result of 721 million euros. ERGO is part of Munich Re, one of the world's leading reinsurers and risk carriers.  
More at www.ergo.com

This media information contains forward-looking statements that are based on current assumptions and forecasts of the management of ERGO Group. Known and unknown risks, uncertainties and other factors could lead to material differences between the forward-looking statements given here and the actual development, in particular the results, financial situation and performance of our Company. The Company assumes no liability to update these forwardlooking statements or to conform them to future events or developments.

Further news and articles