Combating Claim Fraud: Reduce False Positives with AI, LLM, & Graph DB

Insurance fraud is a $308B challenge, and we’re diving deep into solutions.

Scott Heath, VP of Fraud at Expero, and his special guest, Michael Moore, Ph.D., Senior Director, Strategy & Innovation at Neo4j, will discuss how graph databases, AI, and large language models (LLM) can increase accuracy and reduce false positives in fraud. Learn how to leverage Neo4j Graph algorithms to optimize claim fraud detection, reduce settlement times, and comply with government regulations. Our expert panel will decode key challenges in investigation and claim fraud, loss and abuse processes, emerging threats, and audit and compliance regulations. Learn what is to be expected in 2023/24 and how to increase claim fraud identification by over 45%.

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