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: 1996 Valuation Actuary Symposium. In this teaching session on liability modeling, the panelists discussed the key aspects of identifying and gathering the data required to construct models, the model building process including objectives and considerations, and the modeling process from the standpoint of policyholder and company behaviors.

Description: The following topics were discussed at concurrent sessions: 1. Personal Security in the 1970's- United States and Canada, 2. Adjusted earnings for life companies, 3. Pension funding, 4. What about these younger actuaries?, 5. Sources of statistical information for actuaries, 6. Variable life insurance, 7. Models and decision techniques, and 8. Role of the actuary in expense control. From Transactions of Society of Actuaries 1970, Vol 22, Pt. 2, No. 63.