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Please login to watch this media Go to login Q&A on 'Data Driven ERM' uploaded August 7, 2023 Views: 41 Comments: 1 Favorite: 0 CPD × Recommend Enter the e-mail address of the recipient and your message below. E-mail address Your message Cancel Send mail actuview Speakers: Patricia Wang Gyöngyi Bugár David Ingram Description: Q&A on the presentations: Neural Networks in Developing and Validating ES-Estimation Models Use of Crowdsourcing to obtain Real-Time Data as a Catastrophic Loss Event Develops Machine Learning to Predict Underwriting Decisions for Life and Health Insurance Tags: Machine Learning Underwriting COVID-19 Forecasting Prediction Tail Risk Management Neural Network Value-At-Risk (var) Catastrophic Events Basel Iii Expected Shortfall (es) Ridge Back-Test Crowdsourcing Real-Time Data Non-Pharmaceutical Interventions (npi) Categories: AFIR / ERM / RISK, LIFE, IACA / CONSULTING, ACTUARIAL DATA SCIENCE, BANKING / FINANCE Content groups: content2023 Show More 1 Comments tombarry101gmailcom 243 Days ago Good discussion on results from Underwriters v Model(s) ; which can change as models improve ; there is real value in underwriters reviewing the cases where the model makes a different decision than the U/w. Recommended | Popular CPD 01:04:32 Life Reinsurance and Innovation Series - Part 1: The impact of climate change on mortal... Society of Actuaries in Ireland Views: 26 CPD 47:11 Modélisation du comportement de départ en retraite des fonctionnaires territoriaux et... Institut des Actuaires Views: 9 CPD 24:41 Patient Health Care Journey with Jamie Hall Conference of Consulting Actuaries Views: 239 CPD 58:20 Evolution d’un portefeuille santé dans un contexte économique et réglementaire en ... Institut des Actuaires Views: 53 CPD 59:47 Implémentation d’une assurance santé inclusive au Mali financée par la diaspora ma... Institut des Actuaires Views: 30 CPD 54:29 Les conséquences des évolutions réglementaires récentes sur les régimes Santé Institut des Actuaires Views: 12 Recommended | Popular CPD 01:27:13 Machine Learning Applications to Non-life Pricing and Underwriting The IAA Sections Views: 1891 CPD 46:21 Durabilité, hausse des taux et inflation, quels enjeux sur l’allocation d’actifs d... Institut des Actuaires Views: 771 CPD 39:57 Impact prospectif de la pollution de l’air en assurances de personne. Institut des Actuaires Views: 744 CPD 20:29 The European Actuary No 37 | Planning Ahead – Full Interview with Andriana Sukova Actuarial Association of Europe Views: 713 CPD 01:00:52 AFIR-ERM, ASTIN & IACA Joint Webinar: Cyber Insurance-linked Securities The IAA Sections Views: 599 CPD 59:59 Lessons learned from the Covid 19 Pandemic Crisis Management – Investment Aspect The IAA Sections Views: 566
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243 Days ago
Good discussion on results from Underwriters v Model(s) ; which can change as models improve ; there is real value in underwriters reviewing the cases where the model makes a different decision than the U/w.