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financial risk control

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DataFunTalk
DataFunTalk
Jan 1, 2025 · Artificial Intelligence

Applying Large Language Models to Financial Risk Control at Akulaku

This article details Akulaku’s deployment of large language models across multimodal financial risk‑control scenarios—covering business background, a three‑module intelligent‑agent architecture, concrete tool‑ and planning‑enhancement case studies, and future outlook—demonstrating how LLMs boost efficiency, reduce labeling effort, and enable copilot‑style assistance.

KYC verificationagent architecturedata augmentation
0 likes · 15 min read
Applying Large Language Models to Financial Risk Control at Akulaku
AntTech
AntTech
Dec 12, 2023 · Information Security

Privacy Computing Case Study: Multi‑Party Secure Computation for Financial Risk Control by Jiangsu Bank and Ningbo Bank

This article presents a detailed case study of how Jiangsu Bank and Ningbo Bank leveraged Ant Group’s multi‑party secure computation platform and the “YinYu” privacy‑computing framework to build joint risk‑control models, enhancing data sharing, security, and approval rates for inclusive finance.

Data SecurityInclusive FinanceMPC
0 likes · 9 min read
Privacy Computing Case Study: Multi‑Party Secure Computation for Financial Risk Control by Jiangsu Bank and Ningbo Bank
AntTech
AntTech
Mar 31, 2022 · Artificial Intelligence

Trustworthy AI in the Digital Economy: Practices and Explorations by Ant Group

In a keynote at the Machine Heart AI Technology Conference, Ant Group's Zhou Jun presented the concept of trustworthy AI, detailing its integration with privacy, security, graph learning, explainable and adversarial machine learning, and large‑scale privacy‑preserving techniques to enhance financial risk control in the digital economy.

Explainable Machine LearningGraph Neural Networksadversarial learning
0 likes · 20 min read
Trustworthy AI in the Digital Economy: Practices and Explorations by Ant Group
DataFunSummit
DataFunSummit
Feb 27, 2022 · Artificial Intelligence

Dxm Eros: A Massive‑Scale Graph Platform for Financial Risk Control

This article introduces the Dxm Eros ultra‑large graph platform, explains its architecture, storage, analysis, modeling and visualization capabilities, and demonstrates how graph‑based machine learning is applied to fintech risk control, anti‑fraud, anti‑money‑laundering and automated audit workflows.

AIBig DataFinTech
0 likes · 17 min read
Dxm Eros: A Massive‑Scale Graph Platform for Financial Risk Control
DataFunSummit
DataFunSummit
Feb 7, 2022 · Artificial Intelligence

Financial Risk Control: Full Process, Data & Technology Requirements, and Visual Analytics Cases

This presentation explains the fundamentals of financial risk control, outlines the data and AI technologies needed across the pre‑loan, in‑loan, and post‑loan stages, and showcases visual‑analytics and federated‑learning case studies that improve model interpretability, monitoring, and enterprise risk management.

AIData VisualizationFederated Learning
0 likes · 22 min read
Financial Risk Control: Full Process, Data & Technology Requirements, and Visual Analytics Cases
DataFunSummit
DataFunSummit
Sep 30, 2021 · Artificial Intelligence

Transfer Learning for Financial Risk Control: Theory, Methods, and Empirical Results

This article introduces the fundamentals of transfer learning, formalizes its theoretical foundations, and demonstrates how multi‑task learning and domain adaptation techniques can be applied to financial risk control to overcome label scarcity, distribution shift, and improve model performance.

Artificial Intelligencedeep learningdomain adaptation
0 likes · 17 min read
Transfer Learning for Financial Risk Control: Theory, Methods, and Empirical Results
Tencent Cloud Developer
Tencent Cloud Developer
Sep 25, 2020 · Artificial Intelligence

Privacy-Preserving Federated Learning for Financial Risk Control Using Homomorphic Encryption

Tencent Shield‑Federated Computing enables banks to jointly train Gradient Boosted Decision Trees and Logistic Regression with external data owners by using homomorphic encryption to perform encrypted variable and split‑point searches, gradient aggregation, and model updates, delivering near‑centralized accuracy, up to 70 % speed gains, and full data confidentiality for financial risk control.

Federated LearningGradient Boosted Treesfinancial risk control
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Privacy-Preserving Federated Learning for Financial Risk Control Using Homomorphic Encryption
Youzan Coder
Youzan Coder
Nov 2, 2018 · Information Security

Real-Time Financial Loss Prevention System Design for Payment Platforms

YouZan built a side‑car, real‑time loss‑prevention system that monitors business events and database binlogs, validates information flow and fund balance, enforces idempotency and manual‑change checks, and uses refund‑settlement‑cash‑out circuit‑breakers to automatically detect and stop financial loss, achieving successful fault prevention after six months.

Payment SystemReal-time Monitoringbackend-system
0 likes · 7 min read
Real-Time Financial Loss Prevention System Design for Payment Platforms