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Identify and Prevent Fraud
Fraud detection is usually manual and labor-intensive. At scale, it can be a tricky problem to tackle. Learn how RapidMiner helped this organization apply AI to identify $20M of fraud.
50-Ways-US_Auditor
The Challenge
Healthcare fraud can be challenging to detect
Even for intelligent medical providers & patients
Fraudsters well versed in remaining undetected
Using a manual process to catch fraud wasn’t working
Random samples selected for inspection
Less than 5% of all transactions were inspected
Time-consuming & limited resources
The Solution
Focused on specific behavioral patterns
Easily prototyped & tested effectiveness of ML
Supervised learning deployed:
Scan and flag high-risk fraud cases
In high volume, in real-time
Integrated a variety of new sources:
Detection of fraud networks
Contextual clues that surround fraudulent acts
The Impact
$20M Fraud identified
New end-to-end detection & prevention process
Able to identify and prioritize high-risk cases
Reduced time wasted with random inspections
Detect new fraud patterns
New categories of fraud discovered
Get started with your fraud detection project today!
Request a Demo
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