Description: 1993 SOA Spring Meeting, Boston. This session presented ways of using technology of 1993 in order to further actuarial applications and actuarial projects. The speakers related recent personal experiences in which emerging trends in hardware, software, and methodologies have been utilized.

Description: Discusses the section’s LinkedIn group and the contents of the January issue of the newsletter.

Description: Letter from the new chairman of the Technology Section Council introducing the new council members.

Description: This literature review provides insights on emerging technologies that interact with the actuarial profession within the space of microinsurance for the purpose of establishing a frame of reference for actuaries to use in their work. Furthermore, it intends to spark readers’ interest in, and create a vision for, how microinsurance and its associated technologies may impact the actuarial industry in the future.

Description: This discussion is divided in three sections: Further Application, asking how much accounting can be done on computers. Conversion, looking at further functions integrated into the systems by companies converting to Electronic Data Processing function-by-function and Savings, examining if it is any clearer what the ultimate savings from Electronic Data Processing will be. From Transactions of Society of Actuaries 1959, Vol. 11, No. 31.

Description: In session 73OF of the Montreal Spring Meeting panelists discuss the organizational approach to the actuarial systems function that has been applied in their organizations. From the Record of the Society of Actuaries, Vol. 23, No. 2.

Description: The key tasks of credit risk capital project under CROSS II mainly focus onL(1 )Adjustment of measurement framework; (2) Calibration of risk factors, including both credit spread risk and credit default risk;3)Introduction of concentration risk measurement; (4) Higher requirement on look-through rule.

Description: The cloud inspires awe and fear in equal parts these days. There is a need to learn more, but there’s much information to learn and it may be difficult to know what to learn next. In this session, we’ll carve off a small corner of the cloud and make it your own. Setting up a Data Science Virtual Machine on Digital Ocean will be demonstrated. It’s the fastest way to get a data science development environment setup for your own use. Many of the topics and ideas covered will apply to almost all other cloud offerings. What use cases Digital Ocean is good for, and what use cases you should look elsewhere for, will also be discussed.

Description: This article celebrates the tremendous progress that has been made in automating reinsurance data. It also looks at remaining issues, such as a lack of standardization, and challenges presented for the future.

Description: Help readers to focus on self wisdom.