About the Meeting
Predictive ML and XAI for Underwriting Life and Health Insurance
Underwriting is a risk assessment process that classifies insurance applications into different categories. Traditional underwriting is costly, time-consuming and perceived as a barrier for the underserved population. Despite many attempts in automating life and health insurance underwriting, the dominant approach is a mix between prescriptive rule-based engines and manual underwriting. The presentation showcases how machine learning models and algorithms such as XGB, Random Forest and bagging can be used to predict underwriting decisions.
The speaker for this event is:
- Patricia Wang (Senior Predictive Analytics Actuary), Lloyd's
The presentation will be followed by open discussion.
Presentation 6-7:30 PM including open discussion
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