Description: The session offers high-level initial steps to get started using R, as well as a list of helpful resources for both general data science and actuarial science with R. Attendees will learn about popular R packages to perform practical tasks such as importing, transforming and visualizing data, as well as packages commonly used by actuaries. You will also be introduced to the markdown package for creating reproducible and reusable analyses and workflows. By the end of the session, you will be familiar enough with using R and RStudio to begin incorporating these tools in your day-to-day work as an actuary

Description: The Committee on Life Insurance Company Expenses is currently seeking life insurance company data submissions to the 2009 Individual Life and Annuity Expense Study. This is a separate workbook that has been created for Life and Annuity business.

Description: Chapter 3 analyzes, in table form, the study's claimant counts and charge totals, broken down by plan design type, gender, age, year, and by subscriber vs. dependent. From Group Medical Insurance Large Claims Database Collection and Analysis, M-HB97-1.

Description: Chapter 7 analyzes, in table form, the study's claimant counts & charges per claimant in relation to deductible and broken down by diagnosis category. From Group Medical Insurance Large Claims Database Collection and Analysis, M-HB97-1.

Description: Chapter 8 analyzes, in table form, exposure in relation to status, gender, age range, and deductible level. From Group Medical Insurance Large Claims Database Collection and Analysis, M-HB97-1.

Description: This report describes two methods, an observation-based analysis and an actual to model analysis, to analyze long-term care insurance experience to determine if calendar year trends exist.

Description: An analysis of health insurance cost and benefit trends using January 1, 2011 data from state employee medical plan renewals.

Description: This is the SOA 1991 large claims database. Please see the SOA website experience studies for group health for further information about the specifications for this database. The Committee on Health Benefit Systems Research is pleased to announce the availability of the 1991-92 Group Medical Insurance Large Claims Database. The database includes more than 171,000 claims of $25,000 or more, representing over $10 billion in total charges. Fields include diagnosis 3digit ICD-9 code, type of coverage HMO, PPO, Indemnity, etc., claimant status employee or dependent, and charges split into hospital and non-hospital, in addition to claimant age and gender.

Description: The insurance industry hinges on accurate actuarial assumptions. This session explores how insurers can leverage AI/machine learning (ML) to unlock greater accuracy and granularity in assumption setting, while effectively managing risks, implementing strong governance frameworks, and meeting validation expectations from regulators.

Description: How do Professionalism and the Actuarial Standards of Practice apply as the way we work and tools we use continue to change? Business is conducted via social media and messaging and Generative AI allows for additional scenarios, analysis and oversight. Join us for an interactive session to go deeper into these topics including case studies, polls and a panel discussion.