Description: This second session in the series examines responses to the changing workplace landscape from outside the insurance industry. Using a question-and-answer approach with our panelists, this session focuses on practical approaches to identifying new opportunities, and ways in which traditional products and sales channels are changing to meet emerging needs. Compared with other vertical financial services, the life insurance industry has a very low level of 'touch' with its customers. Communication with customers is often limited to the annual mailing of premium invoices. Wellness platforms offer life insurers a means to increase customer engagement, building stronger brand affinity and improving persistency. Life insurers can also leverage customer data collected through the wellness platform to streamline the underwriting process for cross-sales, increasing volume and efficiency.

Description: Mindful data visualizations show the end users the end way in how to analyze and interpret your data. More importantly, they can then use this data they see to drive decisions and modeling going forward.

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: This article introduces SymPy, a computer algebra system (CAS) for the Python programming language.

Description: Investment Correspondent's report for the Opening session of the 2017 Annual Meeting & Exhibit in Boston, MA.

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

Description: Report from research project that reviewed and inventoried the range of quality and efficiency measures that demonstrate the performance of hospitals and physicians. Besides outlining key areas of consideration for quality and efficiency measurement, this report also describes future opportunities for actuaries and other health professionals interested in this evolving area. The inventory part of the report is in a separate document.

Description: It has been twenty years since DeWit 1982 first applied fuzzy logic FL to insurance. That article sought to quantify the fuzziness in underwriting. Since then, the universe of discourse has expanded considerably and now the FL methodologies include used fuzzy set theory, fuzzy numbers and fuzzy arithmetic, fuzzy inference systems, fuzzy clustering algorithms, fuzzy linear programming, fuzzy regression, and hybrids involving other soft computing technologies. This article presents an overview of these studies.

Description: A new health insurance pricing model takes external market prices into account, as well as regulatory rate restrictions and other traditional pricing factors. Rather than being assumed at the outset, lapse rates emerge from the model, along with assessment spiral & loss ratio projections. Under the model optimal pricing strategy depends on whether the class being rated has a healthier than average mix of risks.

Description: Although rate structures where low-cost cohorts subsidize high cost cohorts may be justified from a actuarial, marketing, or legal standpoint, the subsidization creates risks which must be understood and monitored. This article presents the concept of subsidization signature to measure and interpret the effects of rate subsidization, and to assess the sustainability of rating structures and the sensitivity of business mix assumptions.