Insurance Data Science conference, Zurich 2019
ETH Zurich
ETH Zurich, 14 June 2019
Keynote Talk 1:
- Joachim M. Buhmann: “Robust Algorithmics: A Foundation for Science?!”
Session 1: Non-Life Insurance Pricing (Chair: Mario Wüthrich)
- Florian Pechon: “Modelling Multiple Guarantees on a Household Level in Motor Insurance using Multivariate Credibility”
- Yves Staudt: “Optimizing Insurance Pricing Models in Collison
- Armando Vieira: “Generative Adversarial Networks (GANs) for Claim Frequency Prediction Models”
Session 2: Workflows and Satellite Data (Chair: Guojun Gan)
- Jürg Schelldorfer: “Principles and Best Practices for Applied Machine Learning Models in Industry”
- Roland A Schmid: “TensorFlow Probability - Why We Should Care”
- Damian Rodziewicz: “How to Use Satellite Data with Machine Learning in Insurance”
Lightning Talks 1 (Chair: Andreas Tsanakas)
- Zhiyu Quan: “Hybrid Tree-Based Models for Insurance Claims”
- Daphné Giorgi: “An R Package for Simulating Stochastic Individual-Based Population Models”
- Kornelius Rohmeyer: “Distribution Fitting in Insurance with the Shiny App DistrFit”
- Aurélien Couloumy: “Impact of NLP Techniques on Risk Managment Practices in Reinsurance”
- Lei Fang: “Exploring Patterns of Convergence/Divergence among Insurers and Banks using NLP”
- Marek Rogala: “Improving Verification of Car Insurance Claims by Processing Photos”
- Benjamin Abt: “How Context Influences Model Selection”
- Kevin Kuo: “Towards Open Collaboration in Insurance Innovation”
Lightning Talks 2 (Chair: Markus Gesmann)
- Xi Liu: “Automobile Insurance Fraud Detection using Evidential Reasoning and Data-Driven Inference”
- Maria Oskarsdottir :“Fraud Detection in Insurance with Social Network Analytics”
- Nicolas Attalides: “How to Build a Data Driven Insurance Business”
- Tobias Baltensperger: “Solvency Contagion Modeling”
- Silvana Pesenti: “Scenario Weights for Importance Measurement - R Package for Sensitivity Analysis”
- Salvatore Scognamiglio: “Accuracy and Robustness of Machine Learning Methods in SCR Estimation”
- Mick Cooney: “Terrorism as a Virus: Epidemiological Techniques for Outbreak Detection”
- Kshitij Srivastava: “Market Segmentation in Life Insurance: a Case Study”
Session 3: Loss Reserving (Chair: Franco Moriconi)
- Alessandro Carrato: “From Chain Ladder to Individual Claims Reserving using Machine Learning Techniques”
- Jonas Crevecoeur: “Individual Reserving with Claim Specific Covariates”
- Phani Krishna Kandala: “Deep Representation Learning using Stacked Autoencoder for General Insurance Loss Reserving”
Session 4: NatCat, Risk Management and Cyber Risk (Chair: Christophe Dutang)
- Christian Klose: “Deep Learning of Remote Sensing Images to Predict Wildfires”
- Lucio Fernandez-Arjona: “Neural Networks for Life Insurance Risk Management”
- Alexandre Boumezoued: “Predicting Cyber-Attacks using the ‘Hawkes’ R Package”
Session 5: Life and Mortality Modeling (Chair: Paul Embrechts)
- Andrew Cairns: “Medium Data and Socio-Economic Mortality”
- Andrés Villegas: “A Data Analytics Paradigm for the Construction, Selection, and Evaluation of Mortality Models”
- Elena Kulinskaya: “Administrative Health Databases for Modelling Longevity Improvments”
Session 6: Industry Case Studies (Chair: Jürg Schelldorfer)
- Jakob Gerstenlauer: “Using Boosted Regression Trees in Insurance”
- Mark Lee: “Feature Synthesis Using t-SNE and Clustering”
- Markus Senn: “Medical Underwriting Triage: An End-To-End Machine Learning Case Study”
Keynote Talk 2:
- Ronald Richman: “AI in Actuarial Science”
Panel discussion “Insurance Analytics: What Works, What Doesn’t Work, and Future Potential” with Sabine Betz, Jeffrey Bohn & Volker Reinthaler; moderation: Patrick Cheridito
Sponsors
Swiss Re Institute
RStudio
Mango Solutions
Mirai Solutions
AXA
Milliman
