Description: Within this paper, we take an applied approach to examine the economics of ERM. We provide readers with a series of economically based warning signs that might signify significant changes in asset prices. These warning signs are based on the economic concepts of elasticity of demand, elasticity of supply and herd behavior. Our recommendations provide practical guidance to directors, executives and practitioners regarding ways in which they can mitigate risks in today’s volatile environment. Presented at 2010 Enterprise Risk Management Symposium, Society of Actuaries, April 12-15, 2010.

Description: This article contrasts the madness of the building of the Winchester House, a large California mansion, to business intelligence and data warehousing systems.

Description: Report on the SOA's 1st Annual LTC Operations and Technology Benchmark Survey. Its goals were to provide data to support the development of time and cost benchmarks for LTC operations, identify the most pressing operations and technology issues, and gain insights into the technologies that are being used to administer Long Term Care business.

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: You really can have it all: readily available and relevant information derived from consistent and understood data. Getting at the Truth requires a good datawarehouse design and an appropriate business data model. Add a powerful and flexible Web–based analytical interface to get at the data and success in the pursuit of Truth will happen.

Description: Meet Nathan Pohle. Nathan is part of a new wave of actuaries bringing diverse perspectives to change the game in life insurance. Armed with an MBA and unique analytics experience in the sports industry, Nathan is harnessing key learnings from Silicon Valley to help life insurance companies tap into the power of predictive analytics in new ways.