Description: Using Healthcare Claims Data to Create Actuarial Models.

Description: The CSTEP 'Cluster Sampling for Tail Estimation of Probability' system is a desktop-based application to assist actuaries in efficient stochastic modeling through the implementation of Representative Scenario approaches. Its goal is to provide actuaries with an open-source HPC 'High Performance Computation' research platform to select a sample set of representative 'pivot' risk scenarios through user-specified or user-researched distance definitions.

Description: 2016 marks the 60th anniversary of the Canadian Reinsurance Conference. This one day industry meeting hosting delegates from North America and beyond will be held in Toronto on April 13, 2016 under the theme "ReDefining Leadership".

Description: This is the inventory part of the report from the research project that reviewed and inventoried the range of quality and efficiency measures currently available for healthcare. The goal was to outline key areas of quality and efficiency measurement and identify future opportunities for actuaries. The inventory lists the resources and provides brief descriptions of their services with links.

Description: The SOA launched the Actuarial Innovation & Technology Strategic Research Program earlier this year, focusing on projects in which technology is being used in actuarial work. The presenters will highlight reports from the program including a review of the Top Actuarial Technologies of 2019, the growing use of cloud computing and its impact on furthering and deepening actuarial analyses, and the growing innovative approaches using non-traditional data sources for risk selection and segmentation and its intersection with industry regulation. An overview of this new SOA research initiative and key findings from recently released reports will be covered.

Description: Presented at October 1986 Annual Meeting. This session discussion is about profit analysis and elements of profit such as: interest, mortality, lapse experience, expenses, reinsurance, taxes. It also about use of profit analysis as a business tool to drive management action.

Description: Even the best algorithms are only effective if they are trained on appropriate data. This article discusses common pitfalls in creating a training data set.

Description: A discussion on artificial intelligence.

Description: Read the March 2018 issue of Small Talk published by Smaller Insurance Company Section. Practical information on trends that impact sections and activities.

Description: Applying the new GDPR terms to Actuarial work, to secure private data in portfolios while using those for pricing and reserving modelling in all business lines.