AI for Fraud Detection: Foundations

Contrast traditional ML fraud detection (e.g., classification on structured data) with Generative AI approaches for analyzing unstructured claim data.

Explain the unique lifecycle of a GenAI product, including stages like prompt engineering, model evaluation, and continuous monitoring.

Identify key business metrics and KPIs for a fraud detection AI initiative.

Articulate the value proposition of using GenAI for fraud detection in the device insurance domain.