Description: As the speed of technological innovation increases, actuarial leaders are trying to determine how to use emerging technologies to unlock more business value and improve competitive positioning. This includes enabling new capabilities, improving process efficiency, and increasing the effectiveness of human capital. The session will discuss what we are hearing from clients who are in the process of transforming their business, how they are approaching these transformations, and what they are focusing on. This will include different aspects of transformation, including visualization dashboards, data science applications, no-code platforms, automation, data, and the cloud. Find out how organizations are thinking of human capital and collaboration between actuaries, IT, and other professionals.

Description: Gather with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, pension, investment, product strategy, and more.

Description: Second article in a series on how to use predictive analytics to improve the development of long-term care projection assumptions.

Description: Reflections on SOA delphi study released Oct 2005

Description: Actuaries provide special subject matter expertise to question (or validate) the results of data analytics models. Other quants often cannot do this.

Description: It is about using actuarial judgement to validate the predictive model.

Description: The article recaps existing ideas for assessing credibility and describes questions remaining to be answered.

Description: Describes goals of the section for the coming year.

Description: Evaluates the ability of various model types to automatically approximate various mathematical formulas. This can be used as a guide for feature engineering.

Description: Important tools used in property & casualty P&C insurance—predictive modeling and data mining—can be applied to more effectively model policyholder behavior risks in variable annuity VA contracts. In this article, a case study is used to demonstrate how a predictive modeling approach can improve upon traditional methods used to model VA lapse behavior.