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Actuarial Data Science Après-Midi : Telematics, Data Strategy and XAI

The Data Science working group of the SAA is happy to announce the next event focusing on the practical field of (actuarial) data science, that is offered as part of a new professional education opportunity based on the working paper and strategy developed for the SAA.

Telematics is changing the motor insurance market and disrupting the traditional car insurance business model. In the first talk, Riccardo and Cristiano from Swiss Re will talk about how to develop a dynamic, machine-learning based platform to turn telematics data into effective risk segmentation and deliver risk-relevant insights for insurance pricing.

More than ever, the ability to manage torrents of data has become crucial to the success of many Insurance companies. But even with the emergence of data-management functions and chief data officers (CDOs), most companies remain badly behind the curve. When developing data strategies, companies need be thinking of forming a "Dual Data Strategy" and view it from the perspective of two components: 1) Defensive, and 2) Offensive. Samir from datazuum will describe in the second talk a framework for building a robust data strategy that can be applied across differing levels of data maturity, to support the company’s overall strategy. The framework will help data scientists and actuaries clarify the primary purpose of their data, whether it’s for managing risk, increasing revenue or optimising customer experience.

Finally, in the third talk, Michael from La Mobilière will dig into the world of non-life insurance pricing. He will explain how generalized linear models can be improved by insights learned from ML and XAI (eXplainable AI).

The number of participants is limited. Secure your participation and register now!

Organizer                            SAA | Working Group Data Science
Topic                                   Telematics, Data Strategy and XAI          
SAV CPS                             3
Participation fee                 None

06.10.2021 15:00
06.10.2021 18:00
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