Oct 8, 2021 · Artificial Intelligence

Graph Computing for Financial Credit Risk Control and Anti‑Fraud: Architecture, Challenges, and Lessons Learned

This article examines how graph computing is applied to financial credit risk management and anti‑fraud, covering business background, key credit terminology, stakeholder roles, graph‑based fraud detection techniques, system architecture evolution across three development stages, practical requirements such as stability, timeliness, accuracy and controllability, and summarizes operational insights.

AIanti-fraudgraph computing

0 likes · 16 min read

Graph Computing for Financial Credit Risk Control and Anti‑Fraud: Architecture, Challenges, and Lessons Learned

DataFunTalk

Jan 30, 2019 · Artificial Intelligence

Real‑Time Metrics Processing Technology for Financial Risk Control and Anti‑Fraud

This article outlines the challenges of financial risk control in the internet era and presents a comprehensive real‑time metrics processing system, covering data leakage, fraud, big‑data opportunities, AI model deployment, and the technical architecture of the Bangsheng real‑time indicator platform.

AIBig Dataanti‑fraud

0 likes · 17 min read

Real‑Time Metrics Processing Technology for Financial Risk Control and Anti‑Fraud