Insurance fraud costs consumers and businesses in the United States over $300 billion a year. This leads to an average U.S. family paying an extra $400-$700 in premiums.

AI is transforming the claims and fraud detection process for insurers, who are facing ever-increasing pressure to digitize and modernize their underwriting, claims, and fraud processes to enhance the customer experience, insure risks faster, decrease fraud, and drive costs lower.

AI-powered document digitization and fraud detection techniques provide seamless ways to tackle fraud in insurance claims workflow processes and enable faster decisions.

Fraud in insurance isn’t easily addressed with one model: a series of models is needed in the pipeline, ranging from tabular to unstructured data. NVIDIA has partnered with Quantiphi to deliver customized solutions that optimize the claims and fraud process with AI and machine learning.

• How insurance claims and fraud detection solutions can help you reduce operational expenses in the long term.

• How NVIDIA's AI platform can help accelerate compute-intensive AI/ML workloads and boost data science productivity.

• How to develop a solution from proof-of-concept to production customized to your organization.

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