A study Verisk conducted delved deep into public perceptions and attitudes toward insurance fraud. The results shed light on certain beliefs
Uncover why using AI-driven predictive models and advanced analytics in a hybrid approach can help you easily identify fraud
Annually, insurance fraud steals roughly $308.6B from American consumers. Self-insureds could be vulnerable to insurance fraud and undetected leakage.
The Zipf-Mandelbrot Law has rarely been used in insurance—until now.
Recent reports of inflated vehicle market values, exorbitant loan-to-value ratios
The insurance industry has experienced tremendous change in the past few years.
How can you ensure your suspected fraud referral will grab the attention of law enforcement?
Homeowners insurers and their customers in Florida are navigating a turbulent market, and roof coverage figures prominently in the turmoil.
Organizations have been investing heavily in AI recently, and the insurance industry is no different.
The concept of new and emerging provider fraud trends doesn’t only apply to recent medical providers showing up on your radar.
Low-exposure medical provider fraud may be costing you millions
Straight-through processing is considered the holy grail of digital claims—where insurers can intake, process, and pay claims automatically
As insurers’ interest in artificial intelligence (AI) grows, we must not only embrace its immense capabilities but also work to mitigate its potential risks.
Photo-based claims estimates have been a growing trend the past few years in the insurance industry, and once the pandemic hit, that trend accelerated significantly.
Unfortunately, crisis is fertile ground for fraud, whether it be the opportunistic kind or organized criminal activity.