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.
Learn how predictive analytics can help auto insurers estimate loss costs.
How Lloyd’s syndicates can identify and measure aggregations of insurance risk.
One statistic profoundly affected by COVID-19 lockdowns has been miles driven, and so capturing mileage more precisely may become critical for auto insurers.
Insurers are turning to AI to detect claims fraud automatically – but to get the most from their analytics, they need to understand an anti-fraud system.
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.
Neural networks, machine learning, multivariate random forest models, and various derivatives of the same are being used to create modern fraud detection models.
As we enter 2020, the insurance industry looks much different than it did ten years ago.
Verisk and Equifax have joined to create Inflection, a credit-based insurance score powered by a trended-credit model to increase its predictive potential.
For insurers looking to stem the $30 billion-a-year insurance claims fraud problem, early detection is key.
It seems like every month there’s news of another medical fraud bust, often involving rings of various types of providers. But that’s just the tip of the iceberg.
By using powerful data tools, insurers can discover which markets have strong growth potential.
Legal analytics make it possible for insurers to derive actionable insights from legal data to improve claims handling and litigation outcomes.
Robotic process automation (RPA), machine learning, and AI can be embedded in processes throughout the claim life cycle—from triaging through settlement.
Workers’ comp analytics can improve claims process by identifying high-severity claims early, promoting consistency in claim handling, and improving return-to-work…