Prevent fraud in real-time to reduce operational costs and increase customer trust
Preempt fraud with rule-based patterns and select ML algorithms for reliable fraud detection. Use anomaly detection and fraud prediction to respond to bad actors rapidly.
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Detecting Financial Fraud at Scale
Benefits and business value
Win customer trust
Ensure security for customers to build trust and loyalty
Move fast and prevent losses
Move from rules to machine learning to respond in time and reduce operational costs associated with fraud
Scale Flexibly
Cut through all the data complexities and implement fraud prevention at scale with the Lakehouse
Reference architecture
Data used
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