Description: The author reviews a book the debunks some of the hype we read about using quantity at the expense of quality. She also points out some unrealistic outcomes when data scientists lack business knowledge.

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

Description: Describes actuarial approaches used to quantify the benefit to employers of implementing financial wellness programs for their employees.

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: This abstract describes a paper that defines a predictive model for assessing risk associated with information systems.

Description: As M2M are exponentially increasing, we will soon see reinventing of whole business models and customer relationships.

Description: This article gives a brief overview of ways to extend clustering analysis beyond basic methods such a k-means

Description: Feature article providing a brief introduction to Cython.

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.