Description: A description of Data Science best practice tools and how they can apply to general actuarial work.

Description: Actuaries with relationships with and/or responsibilities for sales, marketing, and distribution functions, as well as actuaries seeking to broaden their knowledge in those cross-functional spaces

Description: Data science, predictive analytics and AI are certainly the buzzwords these days. They are heavily used and developed in underwriting and marketing but for most actuaries, they might/may as well be science fiction. The presenters will demonstrate how a normal actuary can utilize data science techniques in their daily job function without forming an official data science team within a company. It can be done in a gradual fashion so that normal business is not disrupted and improvements are made over time. The usage of data science techniques will include demonstrations of the following areas: - Regression analysis - Economic scenario generator - Experience study - Data quality checks - Inforce compression for explicit hedging