Description: 1998 Valuation Actuary Symposium. The panelists addressed the practical implications of how to use value-at-risk in a real-life setting, risk-based surplus, and an update of the C-3 component of RBC. This session is a mix between the regulatory situation and quantitative analysis.

Description: 1988 Valuation Actuary Symposium. In this session the speaker talked about the nonparticipating guaranteed life insurance segment with a concentration on the specific characteristics of the model he used. A Group Life and Health operations segment model was also presented.

Description: The presenters will discuss predictive analytics as applied to recent group life and disability experience studies and other applications.

Description: 2003 Valuation Actuary Symposium, San Diego, CA. This session addressed the emerging practice where management is developing new ways to examine financial risks holistically in an integrated model.

Description: This is a discussion of the paper, New Possibilities in Graduation by Kingsland Camp. From Transactions of Society of Actuaries 1955, Vol. 7, No. 19.

Description: This session at the 1989 Valuation Actuary Symposium discusses modeling techniques for both assets and liabilities. Considerations are given for which assumptions are needed and how to determine them.

Description: Claims are insurers deepest and richest transactional data – yet we rarely unleash the full potential of this data. In this session, we will discuss potential sources and attributes of claims data, traditional approaches alongside new analytic techniques and how to integrate models into existing claims management processes. During this session, the presenters will discuss different areas of how machine learning can drive significant value unleashing the potential in claims data, these include data capture, claims management and workflow design as well as behaviour prediction. In addition, the audiences will also have opportunity to learn different use cases of how claims models taking advantage of machine learning, such as foreign death fraud detection and critical illness triage.

Description: This session from the 1994 Valuation Actuary Symposium covers the collapse of the real estate market in the early 1990's and the problems it created in cash flow testing and valuation work. It also covers an integrated asset/liability model and the applications beyond cash flow testing including an example for an SPDA.

Description: Panelists discuss how two SOA-sponsored research studies were conducted. The first one examines the relationship between certain econometrics series and life-insurance-company financial operations. The second one studies the usefulness and limitations of existing models and data sources for retirement benefit plans. From the 1997 Record of Society of Actuaries, Vol. 23, No. 3.

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.