Description: The article summarizes two of the highest rated sessions sponsored by the Reinsurance Section during the 2013 SOA Annual Meeting in San Diego.

Description: Claims are insurers deepest and richest transactional data – yet we rarely unleash the full potential of this data. In this session, we will discuss potential sources and attributes of claims data, traditional approaches alongside new analytic techniques and how to integrate models into existing claims management processes. During this session, the presenters will discuss different areas of how machine learning can drive significant value unleashing the potential in claims data, these include data capture, claims management and workflow design as well as behaviour prediction. In addition, the audiences will also have opportunity to learn different use cases of how claims models taking advantage of machine learning, such as foreign death fraud detection and critical illness triage.

Description: Form to collect a company’s preferred class structure information for 2005-2007 life insurance experience study

Description: Outlines the minimum amount of data required to participate in the 2005-2007 life claims study

Description: Read the Quo Vadis Reinsurance.

Description: Description and welcome to the 2020 Canadian Reinsurance Conference including highlight of the key note speaker

Description: Cover letter that explains the study, the expected results and the other 5 accompanying documents. The purpose of the study is to collect preferred class structure mortality to support new reserving methods based on multiple preferred and standard class mortality experience.

Description: Answers common questions surrounding the individual life study and how to participate

Description: Describes the type of information sought on the Preferred Class Structure Questionnaire for the 2005-2007 individual life experience study and explains how to fill out the questionnaire