Using AI to Lower False-Positive Rates for Fraud Detection | Daisy Intelligence
Traditional AI-based fraud detection software suffers from high false-positive rates. A 90% accurate model applied to a claims database with 1% fraud, generates 82% false-positives. You wouldn't eat
food that had an 8 in 10 chance of being bad. Daisy's Halo-based methods significantly reduce the false positive rate and can be executed autonomously, minimizing investigative labor.
Contact us:
Website: https://www.daisyintelligence.com/
General inquiries: 905-642-2629
We're social:
Twitter: https://twitter.com/daisyintel
LinkedIn: https://www.linkedin.com/company/daisyintelligence
Traditional AI-based fraud detection software suffers from high false-positive rates. A 90% accurate model applied to a claims database with 1% fraud, generates 82% false-positives. You wouldn’t eat
food that had an 8 in 10 chance of being bad. Daisy’s Halo-based methods significantly reduce the false positive rate and can be executed autonomously, minimizing investigative labor.
Contact us:
Website: https://www.daisyintelligence.com/
General inquiries: 905-642-2629
We’re social:
Twitter: https://twitter.com/daisyintel
LinkedIn: https://www.linkedin.com/company/daisyintelligence
