Description: In 2020 the Actuarial Innovation and Technology Steering Committee held a data visualization contest. Entries showed a variety of strengths including smart use of tools, user-friendly dashboards, and displays paired with actuarial analysis that can lead an end-user through a process of discovery. In this webcast a data visualization expert will review the winning entries with the contestants. We'll discuss how the different strengths of these entries can be combined to create a powerful tool for communication and understanding.

Description: The famous 80/20 rule in data science states that only 20% of your time working with data is spent driving insightful business analytics. The rest of your time is spent trying to query, clean and organize your data. Even with this knowledge, the majority of actuarial training/focus is on the 20 percent. This session takes a different approach, focusing solely on speeding up your work on the other 80 percent. Practical examples will be part of a code walkthrough in R.

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

Description: 2021 Life Meeting - Session 5C: Assumption Setting in an Uncertain World 8.31.21 Recording