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ASTIN Webinar: ASTIN Working Party - Individual Claim Development with Machine Learning

ASTIN Working Party: Individual Claim Development with Machine Learning




The subject of the webinar will be the presentation of the work accomplished by a team of people that met within the scope of an ASTIN working party named Individual Claim Development with Machine Learning. The main goal of the working party was to research the field of machine learning in connection with reserving as traditional actuarial work. Artificial neural networks were implemented in a cascading triangular way similar to triangular reserving methods, and the prediction results were compared with results achieved by classical reserving methods. The findings offer a better understanding of the possible complexity of the nature of the claims, point out some weaknesses that traditional methods might have, and indicate a strong potential for machine learning algorithms.

SPEAKERS Bor Harej Bor Harej works as a Head of Strategic Analysis in Non-life Actuarial department in Zavarovalnica Triglav and has over 10 years of experience from Risk management and Actuarial field. He studied mathematics at the Faculty of Mathematics and Physics in Ljubljana and actuarial science at the Institute and Faculty of Actuaries in UK. His expertise includes capital modelling and Solvency 2 implementation and he is leading the implementation of DFA model. Occasionally he holds lectures at Faculty of Mathematics and Physics where he is a mentor to some students. From this year on he is a president of Slovenian Actuarial Association. In 2016 and 2017 he was leading the ASTIN Working Party named Individual Claims Development with Machine Learning where he cooperated with highly reputed academics and practitioners.


This webinar is free for ASTIN members! To register, click here.

Not a member? You can participate in the webinar too, by joining ASTIN (nominal fee of $50 Cdn) In addition to free participation in this webcast, your annual membership also will grant you:

  • Free participation in upcoming webinars until December 31, 2018
  • Full access to a wealth of online resources, including recordings of past webcasts current reference lists and a repository of documentation specifically related to NAME OF SECTION