Description: Presented at May 2005 Spring Meeting. Panelists discuss currently available data standards, forecasts about the future uses of data standards, and standards being adopted by Information Technology departments.

Description: Technology is transforming the retirement space and more changes are expected in the future. Join a panel of experts to discuss what are the opportunities, trends and challenges associated with new technologies in the retirement landscape and how it is expected to impact consumers, if we can enable their successful integration.

Description: Artificial intelligence (AI) and Machine Learning (ML) are accelerating us into the fourth industrial revolution. In the next few years technological change and innovation will be rapid. The implications of AI on the actuarial profession are real and game changing. This session will help health actuaries understand what to expect from AI, how to begin using AI, and how AI will dramatically enhance the actuarial profession in the near future.

Description: Overview of evolving industry trends and examples of how life insurers in Canada are innovating.

Description: Why small insurance companies should act now to enhance their reporting and analytical capabilities -How to start -Critical factors of success

Description: Identifying and submitting all appropriate ICD-9 diagnosis codes to CMS will result in a higher risk score for the member and increased payments to Medicare Advantage plans. Milliman's HCC prevalence study illustrates the significant variations in HCC prevalence rates by age/gender, geography, and population type and will assist plans in benchmarking the effectiveness of their own diagnosis code capture efforts.

Description: This article shares our experience of using the cloud to do large-scale parallel processing and discusses some background regarding the cloud.

Description: Many executives are talking about predictive analytics uses in health insurance.