Fraud is a costly and growing problem. For every $1 of fraud, companies pay 3.36x in chargebacks and replacement and operational costs. Identity fraud losses soared to $56 billion in 2020.
Fraudsters continue to increase the scale, speed and sophistication of attacks — from 2019 to 2020, fraud grew at an average rate of 33% — threatening the revenue and growth of companies.
In this eBook, we cover:
- Why data and machine learning are ideal applications for fraud prevention
- How to future-proof your organization using the Databricks Lakehouse Platform
- What financial services leaders are doing with data and AI to combat fraud