Description: Explores the open vs. closed systems debate with regards to actuarial modeling and exposes the over-simplification. Valuable for anyone who uses models.

Description: As commodity markets evolve in tandem with advents in communications technology, the criticality of data management becomes a lynchpin of corporate success or failure. Advanced analysis on market movement can lead to substantive market gains, while an inability to assess risk in a timely fashion can hinder corporate responsiveness, stagnate growth or result in unmitigated risk. In essence, the old paradigm of data flow and management was severely limited by 1 the amount of readily available data, 2 the transmission capabilities for data, and 3 the costs of data storage and maintenance. Presented at 2010 Enterprise Risk Management Symposium, Society of Actuaries, April 12-15, 2010.

Description: Using Healthcare Claims Data to Create Actuarial Models.

Description: This article discussed the NEAT family of neural network algorithms. NEAT automatically determines the number of hidden neurons, as well as their structure. Additionally HyperNEAT can scale to very large problem domains.

Description: Review of a research project, co-sponsored by the SOA, which examined 83 organizations and over 150 programs that measure the quality and efficiency of hospitals and physicians.

Description: This article discusses the actuary's role in project management including analysis, design, implementation and quality assurance.