Predictive Analytics
3 keys to stopping medical provider fraud, waste, and abuse
It’s no secret that medical fraud is a big problem, with some sources estimating the cost at more than $200 billion annually.
As claim severity climbs, analytic insights hold key to containment
Insurers today are struggling with what seems like an intractable problem: the impact of rising claim severity on their bottom line. This upswing shows no sign of…
Getting serious about fighting medical provider fraud
Complex medical bills can make it difficult for adjusters—already overloaded with cases—to find potential fraudulent or excessive billing.
Refinement comes before insight with telematics data
Usable insight from the Internet of Things (IoT) often flows through data science, predictive modeling, machine learning, and artificial intelligence (AI).
One-rate auto insurers can own the future
Digital transformation can play a key role in boosting the number of auto insurance customers who make a seamless journey from quote start to bind.
More is more: Why 100 billion miles of driving data matter
Multisource telematics data needs advanced analytics like artificial intelligence and machine learning to yield insight for insurers, but volume also matters.
AER and team demonstrate benefits of using machine learning in subseasonal-to-seasonal forecasting
A team from Verisk's Atmospheric and Environmental Research (AER), Massachusetts Institute of Technology (MIT), Microsoft Research, and Stanford University published an…
Rate Call 2 is a dinosaur; InsurTech is the incoming meteor
Competition and tight margins have driven many personal auto insurers to a sales process in which a customer may see the quoted rate change before bind.
Aerial imagery, artificial intelligence, and automation on display during 2018 Verisk Risk & Analytics Summit
Aerial imagery, connected cars and homes, artificial intelligence, and automation were just a few of the topics discussed at the third annual Verisk Risk & Analytics…
Millennial impact: Preparing for the generational shift in workers’ comp
Workplace demographics are rapidly changing, and if insurers don’t prepare, they’ll face significant challenges. Millennials will make up 75 percent of the workforce by…
Analyze this: Why workers’ comp data gives insurers a strategic advantage
Data analytics has become a key driver in the development of business strategy for leading corporations, and workers’ compensation insurers are uniquely positioned to…
ISO Education releases 30 e-learning courses in first year
More than a year has passed since ISO Education, an online learning platform, went live. To date, more than 30 new courses have been released that offer training on a…
Interview: How innovative has InsurTech been?
Mark Breading, partner with Strategy Meets Action, spoke with Verisk’s Steve Lekas on the emerging InsurTech movement at Verisk’s Risk & Analytics Summit.
The missing piece in commercial auto risk assessment: Vehicle characteristics
The sources of risk for a commercial auto policy can be largely broken down into three main categories: what vehicle is being driven, how and where is it driven, and who…
Three keys to success for insurers in the age of disruption
Our economy is in the midst of major disruption, with technology and pressure from insurtech startups changing almost everything we do and the way our customers behave.