Description: This paper investigates easy-to-implement techniques and tools developed to reduce sample-run errors and sampling bias arising from using small risk scenario samples to replicate a very large population distribution at the tails.

Description: This third session in the Munich Re series continues with an exploration of responses to the changing workplace landscape from those inside the industry. The presenters will focus on practical approaches to identifying new opportunities, and on ways in which traditional products and sales channels are changing to meet emerging needs. Are voluntary benefits still relevant? Yes, but they are changing. While the first session provided an overview of the future workplace, this session will provide an overview of the current and evolving voluntary benefits market. Sales processes and products will be challenged to change to keep up with the new workplace dynamic. The presenters share strategies for developing products and sales channels that are robust and flexible enough to address evolving customer needs.

Description: Panelists discuss using computer technology in the following ways: [1] computer programs [software] as communication tools, [2] using the Microsoft.NET product, and [3] ways to detect false claims. From the 2002 Record of Society of Actuaries, Volume 28, No. 2. Session 71PD of the San Francisco Spring Meeting.

Description: 1999 SOA Annual Meeting, San Francisco. Presenters discussed ways in which nontraditional methods of distributing insurance products are continuing to evolve and offered their views on where that evolution may lead for the industry.

Description: 1) Vision of the applications and development of data analytics in life insurance industry in Asia; 2) How big is the pie and what are the current obstacles insurers are facing; 3) Utilization of data and analytics target operating models as a competitive advantage, with focus on future readiness, controls, efficiency and effectiveness; 4) Potential roadmap ahead: a) Assessment of the current state of maturity levels of data and analytics initiatives; b) Identification of technology and competency gaps; c) Establishment of data integration and management process within BUs, alignment of advanced analytics tools across departments, with centralized data governance, technology structure and decision making framework; d) Definition of criteria and metrics to measure key outcomes and business value added. 5) Case study on agency behavior management: a practical example on how data analytics is being used in practice: (a) key business objectives: improve agent behaviors and maximize productivity with the lowest possible compensation costs; (b) data collection and current state assessment; (c) detailed predictive modeling process, modeling outcomes, and business implications; (d) implementation and monitoring process.

Description: Panelists at this session of the SOA 1997 Palm Desert Spring Meeting discuss Internet resources that may be useful to health actuaries and hints on how to best access data.

Description: This is a discussion on computer systems. Specifically it highlights new computer applications in: insurance administration, both personal and group sales illustrations and information to field offices, corporate modeling and use of time-sharing and mini-computers by actuaries. From Record of the Society of Actuaries 1979, Volume 5, No. 1.

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: In session 3PD of the New York Annual Meeting the panel discusses solutions such as data software and interface standards as possible solutions to the problem of having many different data storage and analysis systems that don't speak to each other. From the Record of the Society of Actuaries, Vol. 24, No. 3.

Description: Companies with the intention of being the top, trusted source(s) in an information overloaded world.