Description: Life Insurers today are collecting huge volumes of text data though heterogeneous sources which if harnessed in a streamlined process can lead to enhanced decision making for pricing, product development, experience studies etc. This session would introduce the technical framework which can be used to derive insights from unstructured data like raw text.

Description: 1994 SOA Spring Meeting, Orlando. This session is about identifying international opportunities, positioning yourself for those opportunities, determining skills needed, and comparing with skills you have.

Description: The speaker will discuss the training of neural networks to compute future Greeks of liabilities (or options) without the use of nested stochastics.

Description: Baseline and what-if/stressed projections of cash flows, financial statements and capital requirements are critical inputs to a range of business purposes, including forecasts, risk management, liquidity management, strategic decision making, etc. Forward looking projections have historically been inefficient and performed in silos making it difficult to scale the process as CFOs and CROs ask for more. In this session we discuss challenges of the forecast process and opportunities to meet desired future capabilities. We will also discuss “what-if” analysis and ways to support production of forward looking projections for “what-if” analysis in an efficient way.

Description: Regulatory change and increased focus on internal risk management are driving a renewed interest in model efficiency. In this session, we will review several new and existing tools, that show significant promise for advanced modeling of equity linked products. These include: • Clustering • Use of unique--and potentially a different number of--scenarios for each policy • Semi Monte Carlo (SMC) – this is a proprietary technique that is similar to a combination of Monte Carlo and numeric integration • Using a neural network approach to optimize some of the more complex and manual aspects of clustering and improve the fit of the clustered model • Combining SMC with the use of unique scenarios per policy

Description: This open forum, which occurred at the October 1982 Society of Actuaries Annual Meeting in Washington D.C., discussed the future of traditional Society of Actuaries meetings. Topics discussed included: 1. What do Society meetings offer? 2. What else could they offer? 3. What is offered elsewhere in my specialty? 4. How could Society of Actuaries meetings be made more meaningful? A discussion of the special interest sections and seminars on special interest topics was also discussed.

Description: Learn industry best practices including challenges faced by retirees, such as needing exposure to growth, most exposed to sequencing risk, and the need for smooth returns to avoid poor investor behavior caused by risk aversion. Other topics will include how to set investment objectives which consider the members’ real-world needs and how to build portfolios and implement risk management strategies to meet those objectives. The speaker will provide real-life examples/case studies.

Description: 1994 SOA Spring Meeting, Orlando. This session is about re-engineering large actuarial systems. Large actuarial systems have become drains on human, computing and financial resources. And in some cases, daily actuarial functions have grown beyond the scope of normal cost-containment techniques. Re-engineering actuarial systems can significantly alter the trend.

Description: Mr. Zhao stressed that the CBRC adhered to the national principles of risk-oriented, problem-oriented, and openness-oriented, and remained fully mobilized and united to the benefit of the insurance industry. The CBRC overcame the difficulties of the epidemic and pushed forward the C-ROSS Phase II project.