Enterprise fraud detection platform built with graph features and BERT embeddings

This article details the creation of an enterprise-level platform for fraud detection and credit risk assessment. It outlines a modular system design incorporating graph features, BERT-style embeddings, and XGBoost ensembles for robust scoring. The approach emphasizes production readiness and scalability for financial applications. AI

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IMPACT Details a practical application of ML models like BERT and XGBoost in financial risk assessment, showcasing integration strategies.

RANK_REASON The article describes a technical implementation and design for a specific application, fitting the research category. [lever_c_demoted from research: ic=1 ai=0.7]

Read on Medium — MLOps tag →

• BERT
• MLOps
• XGBoost

• product
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