Description: From a session at the 2000 Valuation Actuary Symposium held in Washington DC, September 14-15, 2000 Discussion of financial modeling considerations including: • Model platforms • Model structure • Static and dynamic model validation techniques • Data integrity

Description: Presented at October 1986 Annual Meeting. This session discussion is about the state-of-the-art in packaged software, the requirements of such systems, and current and future health care developments that must be addressed.

Description: 1999 SOA Annual Meeting, San Francisco. This panel analyzed the choices between purchasing actuarial software and developing the software in-house. Topics discussed: 1. Determination of software needs. 2. Evaluation of software packages. 3. Combining in-house developed software with commercial software. 4. Modifying commercial software to the needs of the organization. 5. Staffing and training for in-house developments versus staffing and training for installation of purchased software.

Description: Presented at May 1996 Spring Meeting. This panel shows how underwriters can use technology to obtain low-cost/high-value underwriting information and dramatically improve productivity. New screening tests and modification of standards for international markets are also discussed.

Description: Presented at May 1996 Spring Meeting. This session offers a retrospective and prospective look at the development of actuarial pricing models and technology tools.

Description: This 1977 panel discussion covered hardware, programs, time sharing services and programming languages available at that time.

Description: This session will explore the practical aspects of bringing models to production, maintenance and management through its entire lifespan. Topics covered will include: production considerations, versioning, documentation, peer review and monitoring the model over its lifespan.

Description: This presentation is a concurrent session from the 1991 Meeting of the Society of Actuaries, held April 18-19 in New Orleans. The panel will discuss the approaches and techniques used for pricing and modeling insurance products, including commercial software, internal systems, maintenance issues, staff training, and asset/liability systems. Discussion from participants is included. From the Record of Society of Actuaries, Volume 17, No. 1.

Description: As any international traveler who has tried to plug in an electronic device knows, the human race is great at devising many different ways to accomplish the same task. Predictive modeling is no different. Data scientists can choose from a wide variety of languages to prepare data, fit models, and verify results. The Rosetta Stone, which showed writing composed in three languages side by side, was instrumental in translating unfamiliar Egyptian hieroglyphics into the more common Greek language. This presentation follows a similar approach by showing the same predictive model implemented in the following languages: R, Python, Spark, MatLab, and SAS. Participants will compare and contrast each of these languages and, by doing so, build a greater understanding of those languages less familiar to them.

Description: Presented at May 2005 Spring Meeting. Panelists discuss strategies for increased modeling speed as risk management, valuation and product development activities have been requiring increasingly complex financial models.