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Künstliche Intelligenz im Risikomanagement: Proceedings zum 15. FaRis & DAV Symposium am 6. Dezember 2019

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  • Schmidt, Jan-Philipp (Ed.)

Abstract

Über mathematische Methoden und Verfahren der Künstlichen Intelligenz wird auch in der Versicherungsbranche und speziell in den Aktuarwissenschaften zunehmend intensiver diskutiert. Dazu zählen insbesondere auch Themen des Risikomanagements der Unternehmen. Bedeutende Aspekte sind dabei die Risikomessung, die Risikobeurteilung sowie die Risikokommunikation im Zuge von Solvency II. Vor diesem Hintergrund widmen wir das 15. FaRis-Symposium der Künstlichen Intelligenz im Risikomanagement. Unsere Referenten berichten in ihren Vorträgen von verschiedenen Projekten, in denen sie Künstliche Intelligenz im Risikomanagement erfolgreich eingesetzt haben. Sie referieren über Chancen und Herausforderungen sowie über zukünftige Themenfeldern der Aktuarinnen und Aktuare in Deutschland.

Suggested Citation

  • Schmidt, Jan-Philipp (Ed.), 2020. "Künstliche Intelligenz im Risikomanagement: Proceedings zum 15. FaRis & DAV Symposium am 6. Dezember 2019," Forschung am ivwKöln 6/2020, Technische Hochschule Köln – University of Applied Sciences, Institute for Insurance Studies.
    • Handle: RePEc:zbw:thkivw:302543
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    References listed on IDEAS

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    1. Anne-Sophie Krah & Zoran Nikolić & Ralf Korn, 2018. "A Least-Squares Monte Carlo Framework in Proxy Modeling of Life Insurance Companies," Risks, MDPI, vol. 6(2), pages 1-26, June.
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    More about this item

    Keywords

    Versicherungswirtschaft; Künstliche Intelligenz; Risikomanagement; Versicherungsbranche;
    All these keywords.

    JEL classification:

    • G - Financial Economics
    • G2 - Financial Economics - - Financial Institutions and Services
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

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