Description: Editorial for the May 2019 issue of Predictive Analytics & Futurism newsletter.

Description: Hot topics and emerging trends in assumption development in US life insurance companies

Description: The article is Part 1 of two articles that provide a case study for the development of a profitability and risk dashboard. The sample dashboard provides distilled information regarding actual to expected (A/E) ratios for key risks, agent quality scores and customer value scores. The dashboard would also provide the value of new business written, surplus strain, debit balances, and expected losses on debit balances at different levels, down to the agent level. A product mix index is provided, together with visual comparisons of key metrics to the company's business plan. The Part 2 article will add information to the dashboard regarding risk margins, target capital, and company value.

Description: A description of the operation of an R package for experience studies. Premium patterns, lapse rates, and mortality rates can be calculated.

Description: Possible usage of tools that can automate time consuming processes, and lead to a different team structure and organization for predictive analytics team.

Description: Overview of opportunities for actuaries in business analytics, as well as the applied statistics and programming skills necessary to succeed.

Description: Health care predictive analytics varies between payers and providers as well as being a powerful tool in business decision modeling.

Description: To explore the main drivers of the growing force of Chinese Life Insurance Industry.

Description: Using the Cox proportional Hazards Model to improve underwriting debits and credits.