Predictive Analytics
Understanding risks within Asia Pacific’s growing cyber insurance market
Singular breaches no longer have a strictly local impact as individuals are hyperconnected to the internet in myriad ways, from personal digital devices to appliances and…
Make the most of your data using machine learning
As technology becomes more sophisticated, so does the potential of data. Machine learning is an advanced application of this technology.
Personal auto research: Application integrity down, fraud up
Application integrity for personal auto insurance has deteriorated more than 20 percent over the past eight years, according to Verisk research.
Mathematical models show large decline in U.S. COVID-19 cases by fall
Recent reports about the rapid progress of SARS-CoV-2 vaccine trials have provided hopeful news for the coming year, showing highly effective results against the virus.
Insurers map new path in commercial auto with verified underwriting and telematics
Commercial auto insurers are responding to the accelerating on-demand economy with new products that are more flexible and responsive to the changing marketplace as well…
Why we’re building the future of actuarial analysis in the cloud
Learn how the migration of ISO ratemaking systems to the cloud will deliver added value for Verisk customers.
Precision and prediction: How predictive models can improve vehicle rating
The newest generation of ISO Risk Analyzer Personal Auto Symbols are now available, covering both Physical Damage and Liability.
The future of claims: Delivering at the moment of truth
The future of claims is about elevating the customer experience, and insurers that aggressively pursue digital enablement today will be primed to excel tomorrow.
5 claims lessons from the COVID-19 pandemic
Today, we can examine insurance trends that are likely to continue post-COVID-19. Here are some key takeaways for insurers as a new chapter unfolds across the industry.
Using predictive analytics to gain pricing insights in uncertain times
Learn how predictive analytics can help auto insurers estimate loss costs.
Why Lloyd’s underwriters need to consider casualty disaster scenarios
How Lloyd’s syndicates can identify and measure aggregations of insurance risk.
Capturing mileage across a shifting auto insurance landscape
One statistic profoundly affected by COVID-19 lockdowns has been miles driven, and so capturing mileage more precisely may become critical for auto insurers.
Artificial intelligence in claims fraud: How AI is automating suspicious behavior detection
Insurers are turning to AI to detect claims fraud automatically – but to get the most from their analytics, they need to understand the four components of an effective…
COVID-19 and workers’ comp: Managing rising claim volume and costs
With thousands of essential employees reporting to work—including health care workers—there could be an influx of workers’ comp claims related to the virus.
The critical role fraud scenarios play in advanced analytics
Neural networks, machine learning, multivariate random forest models, and various derivatives of the same are being used to create modern fraud detection models.