Description: Validating innovative ideas by prototyping and testing. This is wrap-up to the Process of Innovation series.

Description: Article that speaks about many of the benefits of reinsurance, including profitability optimization, risk mitigation and capital utilization improvement.

Description: Health care continues to move from a fee-for-service model to a value-based care model. Hear from our expert panel how actuaries can play key roles in designing and contracting value-based agreements, monitoring experience, and driving results, as well as measuring value. The discussion will cover different structures currently in use, types of services covered (total cost of care, claim service lines, specialties, condition based, pharmacy products, etc.) and nuances by market (Medicare FFS, Medicare Advantage, Commercial, Medicaid). Listen to presenters discuss latest innovations in the value-based care space, as well as how current events have impacted these contracts. In this interactive session you will also be able to ask our diverse panelists questions.

Description: This article highlights the importance of communicating concisely and effectively through email and other written forums, and when/when not to use written vs. other forms of communication.

Description: The speaker hopes to share and exchange his own experience and thinking in enterprise management with colleagues in the industry, so as to better solve problems for the enterprise to enhance and expand the value of actuaries themselves.

Description: This is the first of two articles discussing technologies used to control data. this article covers data management strategies.

Description: Today’s most admired brands in several industries not only provide sales and service but also continually keep in touch with their customers to foster trust and build long-term relationships. Life insurers have traditionally played the sole role of manufacturer while leaving customer engagement to intermediaries. Some would argue that engagement is merely a marketing tool. Others say the time and effort invested in customer engagement programs has not produced any tangible benefit. What is the truth? During this webcast, you will: Learn about actionable ideas Hear real-life success stories in creating meaningful relationships that deliver value to both customers and businesses

Description: The article summarizes 2013 survey results of company assumptions for term products in the post-level period. The focus is on product design, shock lapse assumptions, and mortality deterioration assumptions. This article features highlights from the larger SOA-sponsored research project on this topic published in 2013 that compiled end-of-2012 assumption data from 41 companies. This content may prove useful to product development actuaries as they consider their current post-level term assumptions.

Description: Explore wellness programs and their effectiveness within the LTC industry by attending the Considerations for LTC Wellness Programs webcast. You will experience discussions about design tactics and evaluation processes for programs, as well as discovering ways to assist policyholders achieve a sustainable and equitable life. There will also be a conversation about the current regulatory environment as it relates to LTC wellness programs. This webinar will focus on subsets of insured populations that are high risk of claim in order to properly manage care decisions and ensure unfair bias is avoided. Learn how to test for unfair bias and determine best possibilities on how to guard against this when testing is unavailable.

Description: Mortality Model Selection and Combination in RAlternative approaches for selecting mortality models and forecasting mortality have been proposed. The usual practice is to base mortality forecasts on a single mortality model selected using in-sample goodness-of-fit measures. However, cross-validation and other alternative out-of-sample measures are increasingly being used in model selection, and model combination methods are becoming a common alternative to using a single mortality model. Such methods combine predictions from multiple mortality models to reduce model choice uncertainty and improve forecast accuracy. Explore techniques to select and combine mortality models using the freely available open source R package CoMoMo (https://github.com/kessysalvatory/CoMoMo), which extends the widely used R package StMoMo (https://CRAN.R-project.org/package=StMoMo). We will use data for the USA and other countries to discuss and demonstrate four different model combination approaches including simple model averaging, Bayesian model averaging, model confidence set, and stacked regression ensembles.