Conning's 2025 Study Highlights AI in Combating Workers' Compensation Fraud

Conning's 2025 Study Highlights AI in Combating Workers' Compensation Fraud

Conning has released a study detailing how AI and data analytics are being used to fight workers' compensation insurance fraud, which costs insurers billions annually.

Conning has released its 2025 Workers' Comp Study, focusing on the use of data and AI to combat workers' compensation insurance fraud. Announced in a press release, the study provides an in-depth analysis of how insurers are leveraging these technologies to identify and prevent fraudulent activities, which are estimated to cost insurers between $35 to $44 billion annually.

Jay Sarzen, a Director at Conning, emphasized the importance of emerging fraud-fighting techniques centered on data and analytics. These methods enable insurers to detect fraud in real-time, allowing for quicker and more accurate investigations. The integration of AI and advanced data analytics is described as a transformative approach for the industry, helping not only in identifying fraudulent claims but also in preventing them.

The study underscores the necessity for insurers to adopt a proactive and forward-thinking approach to risk management, as the workers' compensation sector continues to evolve and shape the future of the industry.

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