- Overview of the challenges and opportunities of AI in the insurance industry
- Specifics: Insurance data and generative AI
Description
This webinar highlights practical AI applications in the insurance industry. Using three use cases, we demonstrate how generative AI and modern AI models process unstructured data, classify claims, and optimize internal knowledge management processes. Learn how innovative technologies like AWS Bedrock, Textract, and Retrieval-Augmented Generation (RAG) address existing challenges and drive digital transformation in the insurance industry.
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Experts
Dr. rer. nat. Max Bußkamp
Agenda
Welcome and Introduction
Use Cases – Practical Examples of AI in the Insurance Industry
- Use Case I: Data Extraction from Incoming Documents,
The problem of unstructured data from customer emails,
Use of LLMs for classification, standardization, and information extraction - Use Case II: Classification of Claims,
Multi-stage workflow: Preprocessing, BERT model, and final classification, Training with historical data - Use Case III: Internal Chatbot for Contract and Operational Documents, Integration of RAG, Bedrock API, and a vector database, Development and optimization of a user-friendly interface
Lessons Learned and Best Practices
- Success factors and typical stumbling blocks
- Strategies for successful AI integration
Q&A Session
- Discussion of individual challenges
- Answering questions from the audience
Basic information
This webinar is aimed at professionals and executives in the insurance industry as well as IT and AI experts who are interested in the application of artificial intelligence in business- critical processes.
Participants should have a basic understanding of data processing, artificial intelligence, and AWS technologies, especially regarding their application in the insurance industry and the associated data privacy issues.