GenAI in Finance and Insurance

About

Generative AI (GenAI) is transforming the way businesses operate, from automating complex tasks to enhancing decision-making and innovation. To truly leverage the potential, professionals must 

  • Rethink how GenAI interacts with data, language, reasoning, and knowledge, and 
  • Understand how to strategically integrate and apply GenAI to drive business value.

This interactive block course equips professionals with a fresh perspective on GenAI’s capabilities, practical insights into its business integration and applications, and hands-on experience through case-based learning with a focus on finance and insurance. 

Key Learnings

  • (A) Unpacking and Using GenAI: Deconstruct the fundamentals of generative AI, distinguishing it from traditional machine learning and explaining the core mechanics of a Large Language Model (LLM). Analyze the economic implications of using GenAI, specifically evaluating token economics to optimize for cost and efficiency.  
  • (B) Customizing and Shaping GenAI: Strategically assess and integrate GenAI into business operations, identifying opportunities for deriving tangible business value. Apply advanced customization techniques such as Retrieval-Augmented Generation (RAG) and fine-tuning to tailor models for specific organizational needs. 
  • (C) Rethinking and Shaping the Future of GenAI: Critically analyze the philosophical and social implications of GenAI, including new perspectives on concepts like rationality, agency, and explainability.

Schedule

Day 1: Monday, November 10, 2025, 9.00 - 17.00 

  • Unpacking GenAI: Introduction to Foundation Models and LLMs 

Day 2: Tuesday, November 11, 2025, 9.00 - 17.00

  • Integrating GenAI: Platforms and Governance, Agentic AI 

Day 3: Thursday, November 27, 2025, 9.00 - 17.00  

  • GenAI cases and applications in Finance (RAG, Fine-tunig) 

Day 4: Friday, November 28, 2025, 9.00 - 17.00 

  • GenAI cases and applications in Insurance 

Speakers: 

  • Katrin Kröger, Senior GenAI Engineer, AXA 
  • Kornelia Papp, Group Head of Conversational AI & Intelligent Automation, Zurich Insurance 
  • Sebastian Gehrmann, Head of Responsible AI, CTO Office, Bloomberg
  • Yassir Madhour, Chief Information Officer, Assura 
  • Michael Hässig, Head OPEX & Innovations, AXA-ARAG
  • more tba 

 

Interested to Join? 

Who are we looking for: 

  • Experienced specialists and leaders from the banking, finance and insurance industries. However we welcome participants with diverse industry backgrounds. 
  • Participants with a university background in engineering, finance, econonomics, computer science or natural sciences. 
  • At least 3+ relevant professional experience. 
  • Strong analytical skills, capacity for in-depth and interdisciplinary thinking. 

Course Fee: 

  • 3000 CHF (incl all course materials, coffee breaks and apero) 
  • 2500 CHF for ETH Alumni & ETH FinsureTech Alumni 

Registration: 

  • Registration runs via the ETH School for Continuing Education: Please follow this external page Link
JavaScript has been disabled in your browser