Artificial intelligence powers search-and-match algorithms that improve hit rates and predictive analytics help identify insurance fraud.
Love Thy Frenemies: 3 Reasons an Interconnected Claims Network Benefits the Industry
Verisk conducted a study with the Coalition Against Insurance Fraud on which generation is most likely to commit fraud.
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 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?
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
Application integrity for personal auto insurance has deteriorated more than 20 percent over the past eight years, according to Verisk research.
The use of external data can help insurers identify potential fraud, but also shorten the customer journey by validating information more efficiently.
The future of claims is about elevating the customer experience, and insurers that aggressively pursue digital enablement today will be primed to excel tomorrow.
Digital technology has become critical to provide core claims services during lockdown. Verisk is at the forefront in this field with a full range of claims solutions.
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.
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.
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