5 Common Misconceptions about UML

Discover the truth about unsupervised machine learning (UML) and how it helps banks fight fraud.

Download this infographic to learn how:

  • UML works and why the myths are false
  • UML delivers transparency and explainability for fraud decisions
  • You can simplify implementation of UMl to accelerate fraud detection

Learn the 5 Common Misconceptions

Fraudsters continually evolve their methods to evade detection, and banks suffer huge losses. Traditional supervised machine learning can only detect known threats — but Unsupervised Machine Learning (UML) can detect the unknown. This infographic debunks the common misconceptions about UML and explains how the technology dramatically improves fraud detection for financial institutions.

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About DataVisor

DataVisor is the leading fraud and risk management platform powered by transformational AI technology. Using proprietary machine learning algorithms, DataVisor restores trust in digital commerce by enabling organizations to proactively detect and act on fast-evolving fraud patterns, and prevent future attacks before they happen. Combining advanced analytics and an intelligence network of more than 4B global user accounts, DataVisor protects against financial losses and reputational damage across a variety of industries, including financial services, insurance, marketplaces, ecommerce, and internet platforms.