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Connect the dots to spot anomalies
Risk mitigation leveraging Machine Learning
Duplicate payments cost up to 0.5% of all invoice payments
Enhanced identification through Holmes' cutting-edge Machine Learning models
50% of occupational frauds caused due to collusive acts
Holmes anomaly detection models identify suspicious behavior through pattern recognition
Insurance fraud costs over $40 billion per year in the U.S.
Superior detection of suspicious claims through artificial intelligence algorithms