Description: This is a summary of the benefits of attending the 2019 Predictive Analytics Symposium.

Description: Healthcare cost is increasing at 9.3% in Asia in 2017 and health insurance cost will eventually catch up, making healthcare unaffordable to aging populations. Inefficiency in healthcare system is a contributing factor. In this session, use cases on how AI is impacting the health insurance operations on 3 core challenges. Document processing: A lot of documents are generated in the healthcare ecosystem, medical reports, diagnosis, invoices etc. Currently most of the documents are still reviewed manually and rely heavily on users’ judgement. Customer engagement: Customers are generally under distress and feel rejected during the claim process. It is due to the time and process needed to get the information they look for, the gap between the sales and claims process, and the reimbursement amount. Claim settlements: Claim adjudication is a technical process that review the disease, treatment and policy coverage. The process is specific to disease and difficult to be generalized. Thus, the process is far from consistent and invites fraud, abuse and wastage in this area.

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

Description: Support systems and new solutions to enable caregivers to deliver better care and reduce personal stress.

Description: Imagine that the insurance purchase process is a bridge. The customer is coming from one direction and crossing the bridge and the insurer is coming from the other side. The point at which they meet is the transaction point. At one time, customers were willing to completely cross the bridge to get to the insurer. They knew that they needed insurance, and like any retail purchase, they would “travel” to make it happen. Today, the insurers are normally the ones “journeying” across the bridge. This is the future of insurance — useful, convenient, intelligent protection that does its best analytic and protective work on the client-side of the bridge.

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: Creating the complete view and management of the complex interactions between care providers, medicines and behavior.

Description: James Glickman delivers his general session speech at the SOA 2019 SOA Annual Meeting & Exhibit in Toronto.

Description: Letter from the editor, outlining the theme and providing a brief description of each article within this edition of NewsDirect.

Description: This article, directed at actuaries, will explain the basics of blockchain in very simple terms and we will then examine some UK/European-based use cases where blockchain is already being used or developed.