Description: This session lays the foundation for understanding the current workplace landscape and expected changes over the next generation, including the new gig economy. The material will provide an understanding of the relationship between the workplace and insurance, beginning with a macro view of the job market of the future: which jobs are growing, which are shrinking, and which are likely to be completely replaced by technology? The overview includes a brief presentation of Munich Re's research on the changing landscape and the effect on worker well-being and finance.

Description: Presented at May 1996 Spring Meeting. Presents case studies on the use of technology to solve some of the problems commonly encountered by actuaries in smaller companies.

Description: Implementation of GAAP Targeted Improvements will impact data, reporting, resourcing and governance. This provides an ideal opportunity to rethink some of the data and reporting processes currently in place and how they can be improved to create effective and scalable solutions for the future. With the transition date already behind us for public companies and preparation in motion, we will share insights into how organizations have started to tackle implementing the GAAP Targeted Improvements. The presenters will share insights on data and process challenges and possible solutions, as well as a 'smart compliance' approach to comply with the most valuable aspects of compliance. Resourcing strategies for successful implementation will also be discussed.

Description: This is a discussion on computer systems. Specifically it highlights new computer applications in: insurance administration, both personal and group sales illustrations and information to field offices, corporate modeling and use of time-sharing and mini-computers by actuaries. From Record of the Society of Actuaries 1979, Volume 5, No. 1.

Description: Digital is the main reason over half of the companies on the Fortune 500 have disappeared since 2000." (CEO Accenture). We cannot be sure how global technology megatrends will disrupt the life insurance industry, but we can be certain that the future will not look like today. As large quantities of available data are no longer owned by insurance companies and statistical techniques become more accessible to non-statisticians, the pressure to keep up with technological advancement increases. Life actuaries must think critically about and be prepared for the coming changes and position themselves as leaders in an industry lagging behind in new technology adoption.

Description: Machine learning models have many practical applications in the world of insurance. These applications are well documented and most actuaries, at least at a high level, are familiar with these concepts. The presenters will take this one step further and provide an introduction to the theoretical formulas and real-world considerations that make machine learning models possible.

Description: The session will feature case study discussion of how insurers can improve their model architecture and data visualization to prepare for the increasing demands of the future. Actuarial data and analysis has long been limited by the complexity and diversity of historical systems. External pressure on insurers is higher than ever before, as new requirements take effect under PBR, GAAP Targeted Improvements, and IFRS17.

Description: This discussion is about how are computers being used for Underwriting of individual policies mortality and morbidity studies, including the derivation of exposures, analysis of claims, etc. From Transactions of Society of Actuaries 1964, Vol. 16 Pt. 2

Description: This discussion looks at the approach for applying electronic computers to the operating practices of a company.

Description: This is a discussion of miscellaneous topics. From the Transactions of Society of Actuaries 1962, Vol. 12 Pt. 2 Includes discussion of automation opportunities, persistency studies, and stop-loss and catastrophe reinsurance