Description: Learn about business Analytics in Insurance - Practical case studies and implementation.

Description: In the speech, the presenter will share her insights based on three aspects: 1. Investment management is an important part of the whole process of risk management; 2. Methods and processes of asset allocation as well as risk management considerations; 3. The interaction between liability and asset is critical to risk management.

Description: The speaker hopes to share and exchange his own experience and thinking in enterprise management with colleagues in the industry, so as to better solve problems for the enterprise to enhance and expand the value of actuaries themselves.

Description: The presentation will outline the different possibilities insurance companies have to hedge their equity risk for the various products.

Description: There will be no easy resolution to the current trade friction between the U.S. and China. If anything, the motivations for increasing protectionism are set to intensify. What are these motivations? Where is this trade war headed? And what impact could this have on economies and financial markets?

Description: Retirees will face the societal issue of inadequate savings with likely insufficient time to rectify the situation. They need immediate growth, but also the disciplines of risk management. They typically do not know how to engage with these two aspects in a harmonious manner on their own. Insurance companies are in the business of providing the solution but regulators have been clamping down in favor of simpler and more transparent products. In addition, the market reality over the last decade has been that insurers have stock betas at a multiple to the general markets with PE ratios well below. A panel of senior professionals from writers of retirement product business will present their vision of how the insurance industry can address the above dilemma, including the risks underlying the writing of the business, impact of financial markets, and regulations in the development of the business.

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: The reinsurance market is experiencing unprecedented growth in both frequency and severity of catastrophic medical claims. Most experts identify specialty drugs, new gene therapies and high-intensity hospital in-patient stays as contributing factors. With Rx claims, high-cost drug protocols are creating chronic high-cost cases over multiple years. What can actuaries do to rapidly identify these cases? If identified, what techniques can be used to reduce or manage cost? Panel will include a nationally recognized consulting actuary, health plan executive and reinsurance executive.

Description: The U.S. health care industry has gone through a dramatic change during the past several years. The business model has moved from a risk selection model to a risk management model. People can shop online for their health care coverage. Everyone is welcome! Annual and lifetime dollar limits, underwriting and the pre-existing conditions exclusion are all in the history book now. Facing the challenges of the post-reform era, many health insurance carriers began using big data analytics on all aspects of their decision-making processes. The goal is to be able to compete on analytics in this quickly changing environment. However, becoming an analytics competitor is not easy. It requires the belief from the leadership and a group of dedicated analytical professionals to solve emergent business problems that existing strategies cannot address in an evolving market. These problems include marketing for acquisition and retention, coding accuracy, revenue growth, health care disparity, payment integrity, quality of care, health care cost reduction and, ultimately, personalized care management. In this section, audience will learn a basic understanding of the role of predictive analytics in US Healthcare marketplace.

Description: Artificial Intelligence (AI) is expected to change the insurance industry more in the next 10 years than it has changed in the past 100 years. Rapid advancements in computing power and the exponential growth of Big Data are creating more opportunities to incorporate AI techniques and methodologies into actuarial work. This session is for the practicing actuary who would like to learn more about AI and how to use it to analyze insurance data. At the conclusion of the session, attendees will be able to understand the fundamentals of AI, to build an AI model and to identify AI opportunities in their work.