Description: Certain valuation assumptions are difficult to set with a high degree of accuracy, whether because the underlying experience is in different economic or interest rate environments, in addition to other reasons. Examples include assumptions for long-term care insurance, annuity options, lapsation and premium persistency on ULSG. This session will share how the actuary can use predictive analytics to augment the assumption-setting process. Some of the benefits to the actuary (along with the company and the regulator) include more accurate assumptions with lower margins for adverse deviations. Of possible interest as well is that applications go beyond valuation and include acquisitions, reinsurance and pricing.

Description: The session from the 2003 SOA Orlando Meeting analyzes statutory and GAAP financial statements, including internal rate of return IRR, return on equity ROE, embedded value, source of earnings analysis, actual versus forecast and trend analysis. From the Record of the Society of Actuaries, Volume 29, No. 3.

Description: This session discussed three dramatic shifts in everyday economic relationships: 1 From matter to information, 2 From firms to individuals, and 3 From sellers to buyers. The instructor discussed application service providers and their impact on the economy and the Internet.

Description: While it is now almost universally accepted that data can bring value to the insurance industry, there is little guidance on exactly how to make that value tangible. This session goes beyond advances in computing and storage technologies and is aimed directly at business leaders. This session will define what a data strategy is, discuss the main components, describe how to get started creating one, and will outline how to translate a strategy into execution.

Description: This presentation is a lecture, session 57L, from the 2004 Spring Meeting of the Society of Actuaries, held June 14-15 in San Antonio, TX. The speaker provides context and general background on business intelligence [BI], including topics such as online analytical processing [OLAP], and provides some examples. Next is a basic discussion of data modeling. The speaker then reviews the technology and tools currently on the marketplace, and finally discusses implementation strategy in terms of how actuaries work with IT in this area. Discussion from participants is included. From the Record of Society of Actuaries, Volume 30, No. 2.

Description: 1998 Valuation Actuary Symposium. The panelists discussed the benefits of data integration, data warehousing, what OLifE is now, and what it is projected to be in the future.

Description: Maintaining solid financial performance is a KPI for senior management. With the advancement of technology, the management can leverage new techniques to improve their decision making and focus on higher value activities in a timely manner. This presentation sets out the use of 1. correlation analysis to draw relationship between financial metrics and 2. smart analytics techniques, including text mining and analytics, to identify trends and drivers that impact the valuation of a company. We will also assess how the results of a comprehensive financial analysis could influence risk management considerations, including business steering and risk strategy.

Description: Natural Language Process (NLP) techniques can be used to find insights in large unstructured data sets and Word Embeddings are pervasive on a wide spectrum of NLP applications. These word representations improve downstream tasks such as Sentiment Analysis, Recommender System, and Topic Modeling. Learn how NLP transforms the Insurance Industry; and how word embeddings and pre-trained models improve the effectiveness and performance of NLP applications. NLP is increasing in importance for insurance companies. Additional application examples are available in session 36.