In the first part of the talk, we present an overview over the major achievements in the application of machine learning for actuarial applications from an actuarial modelling perspective. This part starts from the contributions of the “Data Science” working party of the Swiss Association of Actuaries (SAA), and continues to cover the major contributions from many researchers and practitioners to the actuarial data science field.

In the second part of the talk, we focus on the non-technical aspects for actuarial associations and insurance companies to foster actuarial data science skills among the actuaries. We share how the SAA is addressing it and give insights into how some of the Swiss insurance companies are dealing with the topic.

In the third part, we present a selection of concrete use cases for actuarial data science. The goal is to inspire actuaries to start their personal journey of (actuarial) data science and make best use of the new algorithms and technology available.

This talk is a kind of overview of the work and the lessons learned of the “Data Science” working party of the Swiss Association of Actuaries (SAA). The group publishes material that discuss the use of machine learning techniques for actuarial applications, see its website www.actuarialdatascience.org for further information.