Our insights articles, based on industry research and hands on experience helps readers bridging the gap between an industry challenge and the potential technology solution to solve those challenge
In this article, we discuss the digital trend and technology evolution, staying abreast of the changing landscape, how technology can support us with training and career management, virtual training for actuarial students, active career management for professionals, other approaches, and our thoughts on the future.
An insurance company receives premiums, manages reserves and pays out claims. Traditionally actuaries have been using the claim data to assist them with calculations of premiums and reserves and to perform actual versus expected claims comparisons.
Depending on an insurer’s ultimate financial reporting operating model goals various solution options could be utilised to address IFRS 17 compliance requirements.
Put simply, data science is the application of scientific methods to business data to effect action. Data science includes technological tools and statistical methods to provide information to management to assist them in decision making and risk management
A huge increase in data generation, data capture and data storage combined with significantly increased computing power is providing life insurers with a unique opportunity to re-evaluate the value that their data can provide.
More and more businesses are starting to adopt Artificial Intelligence based solutions. Besides considering the apparent project risk that implementing such techniques introduce, enterprises need to consider what the overall impact will be on their Risk Profile after the launch.
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