Insurance Data Science Conference 2019

We partner with the ETH Zurich by involving our experts and leaders in a fruitful exchange with primary insurers and technology scientists on technological developments. The exchange mainly focuses on applications in insurance pricing, reserving, risk assessment and modeling, customer analytics, capital management, catastrophe and econometric modelling.

Swiss Re contributes by sharing stellar insights on applied data science in the re/insurance industry.

• Panel discussion "Insurance Analytics: What Works, What Doesn't Work, and Future Potential", with Jeffrey Bohn, Director Swiss Re Institute
• Work Session "Principles and Best Practices for Applied Machine Learning Models", with Jürg Schelldorfer, Senior Analytics Professional, Swiss Re 
• Work Session "Deep Representation Learning Using Stacked Autoencoder in General Insurance Reserving, by Phani Krishna Kandala, Pricing Actuary, Swiss Re 
• Work Session "Deep Learning of Remote Sensing Images to Predict Wildfire", with Kristian Klose, Senior Analytics Professional

Please visit the official conference page to learn more about the conference programme and the experts and partners involved.