Description: With the rapid development of the Insurance market, insurance technology—including online insurance--continues to mature. Zhongan Online invests heavily in fintechand Zhongan Answer, an insurance robo-advisor, launched in 2018, could improve transaction efficiency by using artificial intelligence to communicate in a timely manner and solve the pain point of the perplexed insurance clause. Under a different consumption scenario, Zhongan Answer could reply to users in a timely manner, while also implementing private customized products and services by providing users with personal risk management and insurance assessment solutions so that users could easily and conveniently select the most suitable insurance plan. The intelligent shopping guide system of Zhongan Answer could improve transaction efficiency by analyzing the personal insurance intention and providing the humanized interpretation of insurance clause. Zhongan Answer has served millions of users and supported more than 100,000 insurance-related knowledge points with an accuracy rate over 90%. Zhongan Answer has provided more than four million Q&A services, and its intelligent shopping guide system covers more than 90% of insurance products.

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: This speech shares the practical experience of platform construction in the actuarial practice work of Ping An People Life, at the same time, shares the development mode of the actuarial system combining online and offline, and summarizes and expounds the advantages and disadvantages of this mode.

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

Description: This session will explore several critical elements in developing a sustainable and coherent framework to translate complex annuity (VA and FIA) policyholder behavior experience data to assumption models using company- and industry-level data, as well as inforce management techniques to handle related risks.

Description: In recent years, the domestic insurance brokerage channel has witnessed significant breakthroughs. As a company with multi-channel development strategy, Aviva-Cofco Life also faces the challenge of channel conflicts in the rapid growth of both individual and brokerage channels. The presenter will share Aviva-Cofco's experiences, lessons learnt, gains and losses in product development in response to channel conflict, and introduce some of the practices of foreign markets for reference.

Description: The speakers will discuss the replication of long-term options, including a discussion of issues such as liquidity, transaction costs, slippage, impact of policyholder behavior, and machine learning algorithms to improve hedge effectiveness.

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