Ebook

A Primer on Using Data + AI for Fraud Prevention

A Primer on Using Data + AI for Fraud Prevention

Pages 20 Pages

The document highlights the growing threat of fraud and the need for data and machine learning (ML) in effective prevention strategies. It introduces the concept of a lakehouse approach to streamline fraud prevention efforts and presents Databricks' Fraud Prevention Solution Accelerators as practical tools for implementation. Through case studies, it emphasizes the urgency for businesses to adopt modern solutions like the lakehouse approach to combat fraud effectively.

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