Is Data Science a means to an end or just the end in itself? With more and more Machine Learning methods, frameworks and automatized Knowledge Discovery (aka Data Mining), more often than not actuaries can easily get the impression that everyone is using new techniques simply because they happen to be available.
Alas, reinventing the wheel to drive the same cars on the same roads is probably not the end of the story.

Organised by the EAA - European Actuarial Academy GmbH.

The web session is addressed to interested persons who would like to get a first overview about the both innovative and disruptive potentials of Data Science in the actuarial practice. We do not require any specific previous knowledge and start from a very basic level. 

Technical requirements
Please check with your IT department if your firewall and computer settings support web session participation (the programme GotoTraining/GotoWebinar is used for the web session). Please also make sure that you are joining the web session with a stable internet connection. 

In this web session, we give an overview why and how the new methods and paradigms subsumed as "Actuarial Data Science" will change the business landscape in the insurance industry - and what are the caveats specific to these particular applications.
Join in to learn
• the close connection between new methods and new data sources and why just one of them is not enough to turn a profit
• a critical look at (probably?) overhyped concepts and their realistic potential
• why agile development is not a requirement of Data Science, but a consequence

The language of the  web session will be English.

Dr Fabian Transchel
is Professor for Data Science at the Harz University of Applied Sciences, Department AI, where his research focus is Insurance and Finance. He is active in the development of the new Actuarial Data Science subjects at the German Actuarial Association (DAV) and a lecturer for the German Actuarial Academy (DAA).