The latest buzz phrase in the insurance industry is “embedded insurance,” which presents an opportunity to seamlessly offer protection in real time given a proactive approach to risk management. Underpinning embedded insurance is the ability to personalize insurance. This requires that customers understand the necessity of sharing more data with their insurance providers.
When risk managers are thinking about risks, cognitive biases that focus on recent risks often come into play. Train yourself to think with a longer time horizon, strategically, and in a way that allows risks to interact in combination with one other. The companies that encourage this are more likely to survive and make better decisions that allow them to thrive.
A new statement from the Canadian Institute of Actuaries (CIA), Big data and risk classification: Understanding the actuarial and social issues, says that using big data derived from new technologies can contribute to the healthy functioning of insurance markets.
Big data and risk classification: Understanding the actuarial and social issues is the CIA’s latest policy statement. In this episode of the podcast, Matt Buchalter, FCIA and Chris Cooney, FCIA speak about the need for this statement, the benefits that increased data collection can have on insurance ratemaking and society, how policyholder privacy is paramount, and how data collection is expected...
The inter-related and combined influences of climate and cities – temperature, moisture, infrastructure, and ultimately people – on urban extreme weather events needs to be better understood. This is especially so as many cities adapt too slowly to keep pace with our changing climate.
Canadian Institute of Actuaries
360 Albert Street, Suite 1740
Ottawa, Ontario K1R 7X7
SeeingBeyondRisk@cia-ica.ca