Description: This discussion examines the future outlook of computers. From Transactions of Society of Actuaries 1960, Vol. 12, No. 34.

Description: This session 52SM/OF/L of the New Orleans Annual Meeting provides an opportunity for Computer Science Section members to learn about current section activities and to provide input to the Section Council. A brief introduction to the J computer language is provided. From the Record of the Society of Actuaries, Volume 27, No. 3, Session 52SM/OF/L.

Description: 1994 SOA Spring Meeting, Orlando. This session is about experiences, benefits, problems, and pitfalls associated with advances in technology.

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: 1993 SOA Annual Meeting, New York. This session addressed systems management and discussed these questions: 1. Why is it so difficult to forecast delivery times and resource requirements? 2. Should I build or buy? 3. What project management techniques have worked for you? 4. Why do systems development projects often go out of control? 5. What is the systems development life cycle? 6. Why does testing always prove inadequate?

Description: After International Accounting Standards Board (“IASB”) issued International Financial Reporting Standard No. 17 – Insurance Contracts (“IFRS 17”), IASB received much feedback and suggestions for improvement. As a result, in early 2019, IASB made limited changes to IFRS 17. The presentation will briefly discuss the main contents and effects of those changes.

Description: Since the international financial crisis, accounting standards have become an important part of financial supervision rules, which objectively requires us to study the reform and development of accounting standards from the perspective of financial stability. Since the release of IFRS17 in 2017, the research and discussion of IFRS17 in the insurance industry has focused on technical details and implementation, while the economic impact and pros and cons analysis of IFRS17 are few. As a result, the industry's understanding of IFRS17 is not comprehensive enough, and there are still many disputes, and no industry consensus has been formed. In the future, the insurance industry should strengthen the research and analysis of IFRS17 from the perspective of financial stability, deepen the understanding and cognition of IFRS17, and improve the ability to control and use IFRS17.

Description: Predictive modeling continues to gain traction in the life insurance industry with the rapid growth of available data and maturity of open source tools. New methods and technology in predictive analytics have enabled the evaluation of extremely large data more quickly and allow us to incorporate features previously not considered. The presenters will provide background on predictive modeling tools and algorithms utilized by actuaries and data scientists for life insurance, highlighting applications from marketing to underwriting.

Description: This discussion has a look at valuation techniques best suited for Electronic Data Processing equipment and if any basic changes has resulted since the introduction of Electronic Data Processing. From Transactions of Society of Actuaries 1959, Vol. 11, No. 31.

Description: 1993 SOA Spring Meeting, San Diego. In this session three panelists related recent personal experiences with respect to emerging trends in hardware, software, and methodologies.