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

Description: This article discusses the charge for the new SOA/COVARA AIDS Task Force. This new task force will examine and report on the principles and techniques for the financial recognition of AIDS for insurance companies, recognizing both statutory and GAAP accounting.