AI for Fraud Detection in the Insurance Industry
Applying AI to detect, prevent, and investigate insurance fraud at scale
Insurance fraud continues to evolve in scale, sophistication, and speed, driving up claims costs and eroding trust across the insurance value chain. At the same time, insurers now sit on vast volumes of structured and unstructured data spanning claims, policies, customer interactions, documents, and external signals. This talk explores how modern AI techniques can be applied to detect, prevent, and investigate fraud more effectively across the insurance lifecycle. The session will cover how machine learning models are used to identify anomalous claims patterns, suspicious behaviours, and hidden fraud networks, combining supervised, unsupervised, and graph-based approaches....
Bio
Kevin Cassar is a Chief Data and AI officer with experience in delivering data-led business value across different business sectors including Telecoms, Insurance and Financial regulators. He transformed data functions into high performing, award winning teams that deliver data products aligned to business strategic values....
Previously at AXA Health, Kevin led global data teams that unlocked commercial benefits through improved operational efficiencies, reduced costs, optimised policy prices and preventing fraud through leveraging AI methods. He also upskilled multi-disciplinary teams and established a culture of innovation and excellence supported by using industry best in class methods.
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