Fraud & Risk

Panel: Man or Machine? Which Approach to Fraud Management is Best for Your Business?

Erika Dietrich -- ACI Worldwide; Julian Wong -- DataVisor; Vahe Amirbekian -- Signifyd

Presentation

At MRC San Diego a panel of industry leaders discussed the strengths and potential pitfalls of machine learning, and why humans are still needed to ensure a successful, effective system. Among the topics covered were machine learning applications, the role of machine learning in analyzing digital identities, and limitations of both machine learning models and people in fraud detection. Business objectives and automation opportunities rounded out the conversation.

Panel: Man or Machine? Which Approach to Fraud Management is Best for Your Business?

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