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: Are you 'dying' to learn about how the mortality data, submitted under the NAIC's Valuation Manual Experience Reporting Requirements (VM50 & VM51), is used? The SOA's Individual Life Experience Committee (ILEC) will describe the data validation 'experience' and explain on how the data eventually influences statutory valuation requirements. The presenters will also 'expose' attendees to the latest insights and observations in the data. Attend this session and learn how the SOA 'minds it's p's and q's' in individual life insurance. At the conclusion of the session, attendees will be able to: - Describe the various types of SOA research that have been performed on the data collected under VM50 and VM51 - Describe the database, released by the SOA, that is compiled from the data collected under VM50 and VM51 - Explain the importance of data quality in VM50 submissions - Identify how the data that is submitted under VM50 would be used to determine Principle-Based Reserving requirement