Transforming Financial Fraud Detection with H2O.ai and AWS

In today’s digital financial landscape, combating fraud is crucial. However, current systems suffer from a staggering 90% false positive rate in fraud alerts. Not only does this frustrate customers, but it also imposes significant costs on financial institutions-often exceeding the expense of fraud itself.
To address these limitations, forward-thinking institutions are integrating machine learning models. H2O.ai's award-winning autoML and anomaly detection techniques continuously learn from new data and adapt to evolving fraud tactics. This adaptability ensures that the system remains effective over time.
Tune into this livestream recording to learn how to empower your organization to stay at the forefront of fraud detection technology!

[@jameslucas5590]

What data supports the statment that it cost 3x to stop fraud? So it cost $3 to stop every $1 of fraud? Where is your support/ cite for that?