Machine learning is spreading quickly across many industries, including the insurance sector with applications in actuarial analysis, and is showing promising results for making better predictions and automating manual tasks. Advances in cloud computing provide the ability to speed up the time it takes to do so.
Parametric coverage is not an indemnification product. Instead, with parametric coverage, a benefit payable is determined in advance of the policy purchase by estimating the loss as accurately as possible, subject to certain conditions being satisfied. The policy cost is based on a predetermined trigger.
Data analytics and predictive modeling continue to evolve. Captive insurers are advised to understand the concepts and costs involved. Data analytics can help optimize the captive's risk appetite and risk portfolio.
Many readers may be inclined to ignore blockchain concepts or defer consideration until clearer information and evidence are available. However, disregarding blockchain rather than actively understanding it could put an organization, including captive insurers, at a competitive disadvantage compared to others who move to embrace its full context.
Industry panelists in Vermont recently discussed how technology is currently being used to mitigate risk in different industries. With advances in technology, organizations and captive insurers are discovering new ways to control costs, improve resource efficiency, and compete more successfully.