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Schedule of Seminar IA|BE : Artificial Intelligence (4.50 CPD)

Seminar IA|BE : Artificial Intelligence (4.50 CPD)

Schedule of Seminar IA|BE : Artificial Intelligence

On Tuesday 24 September:
9:30 - 10:00 Reception
10:30 - 11:00 From needs to solutions by Philippe Afendulis, Wikitree
11:00 - 11:30 The insurtech landscape by Dave Remue, Fin-Tech
11:30 - 12:00 Actuaries 2.0.by Kris Claessens, Thewave
12:00 - 13:30 Lunch break
13:30 - 14:00 The end of myths by Jerome Fortias, BrightKnight
14:00 - 14:30 The market of solution providers by Pascal Deschryver, IBM
14:30 - 15:00 D & A driven insurance by Sudaman Thoppan, Allianz Benelux
15:00 - 16:00 Coffee -Tea Break
16:00 - 16:30 Fraud detection using analytics by Tim Verdonck, KU Leuven & UAntwerpen
16:30 - 17:00 D&A in changing industry by Isin Ozaksoy, Reinsurance Group of America
17:00 - 17:30 The view of EIOPA by Julian Arevalo, EIOPA
17:30 - 18:00 Closure - Cocktail
  1. From 10:30 to 11:00

    From needs to solutions by Philippe Afendulis, Wikitree

    Don't try to find out how AI can help you. Ask yourself what your needs aren and AI will help you !

  2. From 11:00 to 11:30

    The insurtech landscape by Dave Remue, Fin-Tech

    How insurtechs and insurance companies can enhance each other. Update on regulators in Europe and beyond working towards a harmonised approach in AI.

  3. From 11:30 to 12:00

    Actuaries 2.0.by Kris Claessens, Thewave

    Maturity of different AI domains for insurance and the impact over time of AI on insurance profiles.

  4. From 13:30 to 14:00

    The end of myths by Jerome Fortias, BrightKnight

    For a mature and pragmatic approach to AI.

  5. From 14:00 to 14:30

    The market of solution providers by Pascal Deschryver, IBM

    Deploying a D & A solution in an insurance company, from theory to practice.

  6. From 14:30 to 15:00

    D & A driven insurance by Sudaman Thoppan, Allianz Benelux

    AI still at its infancy, the next challenges to come and what is in it for insurance companies.

  7. From 16:00 to 16:30

    Fraud detection using analytics by Tim Verdonck, KU Leuven & UAntwerpen

    Financial institutions increasingly rely on predicitve machine learning models to detect fraudulent transactions. Two main challenges when building a supervised tool for fraud detection are the imbalance or skewness of the data and the various costs for different types of miscalissification. We discuss techniques to solve the imbalance issue and present a cost-sensitive logistic regression algorithm.

  8. From 16:30 to 17:00

    D&A in changing industry by Isin Ozaksoy, Reinsurance Group of America

    Adjusting to change and the role of Advanced Analytics.

  9. From 17:00 to 17:30

    The view of EIOPA by Julian Arevalo, EIOPA

    Big Data Analytics in motor and health insurance: a thematic review.

Register

Prices

Ticket type Price
Non-members € 500.00
Members € 350.00