Description: First part of a four-part series about clarifying data terminology.

Description: This abstract describes studies that further the understanding of risk surrounding automated vehicle technology.

Description: Supporting mathematical basis for adjusting mortality risk by applying epigenetic age acceleration measures

Description: This article is a brief overview of what digital health is, how it is regulated, and who some of the big unicorns are.

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: Read the April 2019 issue of CompAct, published by the Technology Section of the Society of Actuaries.

Description: Innovative solutions are necessary for insurers to: • Meet customer needs, • Better collect and process data, • Improve risk assessment and underwriting .

Description: The session will feature case study discussion of how insurers can improve their model architecture and data visualization to prepare for the increasing demands of the future. Actuarial data and analysis has long been limited by the complexity and diversity of historical systems. External pressure on insurers is higher than ever before, as new requirements take effect under PBR, GAAP Targeted Improvements, and IFRS17.

Description: The fundamentals of insurance, including claims management, are at the inception of true disruption. Insurtechs are using new business models via cutting-edge technologies to impact claims and other functions. Automation, machine learning and other aspects of tech are changing the way consumers experience claims.

Description: In this article the author discusses the risks involved with information technology, with respect to security, IT management, and business continuation plans.