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Architecture and Beyond
Architecture and Beyond
May 15, 2026 · R&D Management

Managing AI Coding: The Same Principles as Leading a Development Team

The article analyses how AI‑assisted coding turns software projects into black‑boxes, explains why responsibility shifts from code authors to managers, and proposes a four‑layer control framework—requirements, architecture, implementation, and release—to keep AI output reliable, auditable, and safe.

AI codingContext Engineeringarchitectural constraints
0 likes · 22 min read
Managing AI Coding: The Same Principles as Leading a Development Team
Digital Planet
Digital Planet
Mar 31, 2026 · Industry Insights

How to Stop Promotional Fee Leakage in FMCG: A Practical Tech‑Data‑Rule Blueprint

This article analyzes why millions in FMCG promotional budgets are siphoned by channel intermediaries, examines the structural and technical flaws enabling the abuse, and presents a three‑layer defense—technology, data, and rules—plus a phased implementation roadmap for channel directors to regain control and ensure every rebate reaches the end consumer.

Data AnalyticsDigital MarketingFMCG
0 likes · 15 min read
How to Stop Promotional Fee Leakage in FMCG: A Practical Tech‑Data‑Rule Blueprint
Bighead's Algorithm Notes
Bighead's Algorithm Notes
Mar 15, 2026 · Artificial Intelligence

Paper Reading: TiMi – An Inference‑Driven Multi‑Agent System for Quantitative Trading

TiMi is a reasoning‑driven multi‑agent framework that decouples strategy development from minute‑level deployment, leverages LLMs for semantic analysis, code generation and mathematical reasoning, and achieves stable profits, high execution efficiency and strong risk control across more than 200 stock and crypto trading pairs.

Financial AILLMQuantitative Trading
0 likes · 17 min read
Paper Reading: TiMi – An Inference‑Driven Multi‑Agent System for Quantitative Trading
JD Tech
JD Tech
Mar 10, 2026 · Artificial Intelligence

How JD Insurance Uses AI Agents to Automate the Entire Insurance Supply Chain

This article explains JD Insurance's end‑to‑end AI agent methodology, from scenario selection and goal definition through economic benefit formulas, domain‑specific large‑model fine‑tuning, knowledge‑base integration, multi‑agent planning strategies, reinforcement‑learning driven evolution, and concrete implementations for pricing, fulfillment, and risk control across the insurance value chain.

AI agentsinsurance automationlarge language models
0 likes · 43 min read
How JD Insurance Uses AI Agents to Automate the Entire Insurance Supply Chain
JD Cloud Developers
JD Cloud Developers
Mar 2, 2026 · Artificial Intelligence

How AI Agents Are Revolutionizing Insurance: Methodology, Economics, and Technical Blueprint

This comprehensive guide explains how AI agents can be selected, designed, and deployed across the insurance supply chain, detailing their economic impact, technical architecture—including domain‑specific large models, knowledge bases, planning strategies, and reinforcement‑learning loops—and outlines future roadmaps for pricing, fulfillment, and risk‑control automation.

AI agentArtificial IntelligenceInsurance
0 likes · 43 min read
How AI Agents Are Revolutionizing Insurance: Methodology, Economics, and Technical Blueprint
DataFunSummit
DataFunSummit
Dec 30, 2025 · Artificial Intelligence

How Large Models Are Revolutionizing Anti‑Fraud Detection: Fusion, Script Recognition, and Automated Iteration

This article examines how a major internet platform leverages large‑model AI—through multimodal fusion, script‑recognition fine‑tuning, and an automatic model‑iteration framework—to overcome precision, adversarial, and cross‑scenario challenges in fraud detection, and how agent‑based tools further boost operational efficiency.

Model Iterationagent automationanti-fraud
0 likes · 24 min read
How Large Models Are Revolutionizing Anti‑Fraud Detection: Fusion, Script Recognition, and Automated Iteration
dbaplus Community
dbaplus Community
Dec 18, 2025 · Operations

How Bilibili’s ChangePilot Platform Reduces Production Risk with Structured Change Management

This article explains Bilibili’s approach to change management, defining change concepts, outlining a technical framework, detailing control levels, and describing the ChangePilot platform’s architecture, integration, and future directions to improve stability in large-scale cloud‑native environments.

Cloud NativePlatform EngineeringProduction Stability
0 likes · 29 min read
How Bilibili’s ChangePilot Platform Reduces Production Risk with Structured Change Management
Baidu Geek Talk
Baidu Geek Talk
Oct 29, 2025 · Artificial Intelligence

How Baidu Transformed E‑commerce Risk Control with Multi‑Modal AI Agents

This article details Baidu's e‑commerce risk‑control overhaul, explaining how traditional rule‑based and manual reviews struggled with multimodal violations, ambiguous semantics, and poor merchant experience, and how a new AI‑driven pipeline combining large multimodal models, rule engines, and knowledge‑base queries achieved full‑automation, real‑time feedback, and high explainability.

AIe-commercerisk control
0 likes · 13 min read
How Baidu Transformed E‑commerce Risk Control with Multi‑Modal AI Agents
Chen Tian Universe
Chen Tian Universe
Sep 24, 2025 · Operations

How a Global Fund Management Ledger System Transforms Multi‑Currency Operations

This article explains the design and implementation of a global fund management ledger that integrates multi‑currency collection, allocation, settlement and accounting across more than 30 countries, providing real‑time visibility, risk control, compliance with diverse regulations, and seamless interaction with ERP and banking systems.

enterprise financefinancial complianceglobal fund management
0 likes · 23 min read
How a Global Fund Management Ledger System Transforms Multi‑Currency Operations
Chen Tian Universe
Chen Tian Universe
Sep 3, 2025 · Fundamentals

Unlocking Futures Trading: Master the Account Architecture and Risk Controls

This article explores the fundamentals of futures account systems, covering basic account structures, the account map, key account types, master‑sub account relationships, system architecture, and multi‑layered risk control, providing a comprehensive guide for professionals and students in the financial domain.

FuturesTrading Architectureaccount system
0 likes · 15 min read
Unlocking Futures Trading: Master the Account Architecture and Risk Controls
DeWu Technology
DeWu Technology
Aug 20, 2025 · Operations

How to Eliminate Marketing Campaign Configuration Pain Points with Full‑Link Time‑Travel Validation

This article analyzes the three major challenges of e‑commerce marketing venue configuration—multi‑goal coupling, verification lag, and cross‑team inefficiency—and presents a full‑link "pain‑point traversal" solution that simulates future time, user groups, and AB experiments to enable pre‑launch validation, dramatically improving efficiency and risk control.

Operational Efficiencye-commercerisk control
0 likes · 9 min read
How to Eliminate Marketing Campaign Configuration Pain Points with Full‑Link Time‑Travel Validation
Efficient Ops
Efficient Ops
Jul 20, 2025 · Operations

How a Major Bank Mastered Version Management with a Three‑In‑One Automated Framework

This article examines how Industrial and Commercial Bank of China’s software development center tackled the complexities of financial‑grade system governance by introducing a three‑in‑one standardized version‑management framework that combines standardization, automation, and intelligence to improve delivery speed, risk control, and environment consistency.

ci/cdfinancial technologyrisk control
0 likes · 7 min read
How a Major Bank Mastered Version Management with a Three‑In‑One Automated Framework
Sohu Tech Products
Sohu Tech Products
Jul 16, 2025 · Backend Development

Designing a Scalable Lottery System: Stock Pre‑allocation, Real‑time Risk Control & Dynamic Probability

This article details the design of a reusable, configurable lottery platform for a youth‑focused social app, covering business background, pain points, a modular data model, micro‑service architecture, stock pre‑allocation with optimistic and distributed locks, real‑time risk detection, over‑issue prevention, probability calculation, and future AI‑driven enhancements.

Backend ArchitectureLottery Systemdistributed locking
0 likes · 26 min read
Designing a Scalable Lottery System: Stock Pre‑allocation, Real‑time Risk Control & Dynamic Probability
Tencent Cloud Developer
Tencent Cloud Developer
Jul 9, 2025 · Backend Development

Why Payment System Architecture Is the Backbone of E‑Commerce

Payment systems serve as the essential bridge linking consumers, merchants, and financial institutions in e‑commerce, handling everything from transaction processing and security compliance to multi‑channel payment management, order settlement, refunds, and detailed architecture design that evolves from closed internal apps to open, scalable micro‑service platforms.

Backend Architecturee-commercepayment
0 likes · 20 min read
Why Payment System Architecture Is the Backbone of E‑Commerce
Alimama Tech
Alimama Tech
May 14, 2025 · Artificial Intelligence

Deep Research‑Driven Risk Root‑Cause Analysis with Domain Graph Constraints for Large‑Scale Advertising Traffic

This article presents a large‑scale advertising risk‑control solution that combines deep‑research paradigms, domain‑graph constraints, and large language models to enable explainable, responsible, and high‑precision fraud detection, detailing system architecture, challenges, demo workflow, and future directions.

AILarge Language Modeladvertising fraud
0 likes · 11 min read
Deep Research‑Driven Risk Root‑Cause Analysis with Domain Graph Constraints for Large‑Scale Advertising Traffic
Sohu Tech Products
Sohu Tech Products
May 7, 2025 · Backend Development

Design and Implementation of a Scalable Lottery Activity Platform

The article describes how the FoxFriend team built a scalable, configurable lottery‑activity platform that replaces manual feed‑based draws with a modular micro‑service architecture, featuring a flexible prize‑tier data model, pre‑occupied inventory buckets, multi‑tenant isolation, high‑concurrency stock deduction, user risk controls, accurate probability handling, and a roadmap toward AI‑driven optimization.

Backend DevelopmentLottery Systemdistributed-lock
0 likes · 25 min read
Design and Implementation of a Scalable Lottery Activity Platform
DataFunSummit
DataFunSummit
Mar 18, 2025 · Artificial Intelligence

Application and Implementation of Multimodal Relational Networks in Financial Risk Control

This article presents the background, key technologies, system architecture, data processing pipeline, and practical use cases of multimodal relational networks for enhancing financial risk control, highlighting how integrating image, voice, text, and device data improves fraud detection, modeling, and operational efficiency.

AIfinancial technologyfraud detection
0 likes · 15 min read
Application and Implementation of Multimodal Relational Networks in Financial Risk Control
DataFunSummit
DataFunSummit
Jan 30, 2025 · Databases

Mature Practices for Building Risk‑Control Knowledge Graphs on NebulaGraph and Leveraging Large Language Models

This article explains how NebulaGraph’s large‑scale graph database can be used to construct real‑time risk‑control knowledge graphs, describes practical applications such as community detection and path analysis, and explores how large language models enhance graph queries through Text‑to‑GQL, agents, exploration chains, and semi‑structured knowledge extraction.

AIGraph DatabaseLLM
0 likes · 11 min read
Mature Practices for Building Risk‑Control Knowledge Graphs on NebulaGraph and Leveraging Large Language Models
DataFunSummit
DataFunSummit
Jan 17, 2025 · Databases

Graph Database Applications and Architectures in DataFun Knowledge Map 3.0

The DataFun Knowledge Map 3.0’s graph database module, presented by Ant Group expert Cui Anqi, outlines how graph databases enhance complex analysis through risk‑control architectures, user‑relationship recommendation, data‑governance, a new graph‑based data management system, and the GraphRAG framework, while also offering a free download link.

AIGraph Databasedata governance
0 likes · 3 min read
Graph Database Applications and Architectures in DataFun Knowledge Map 3.0
Tencent Cloud Developer
Tencent Cloud Developer
Jan 14, 2025 · Information Security

Can Database Signatures Prevent Tampering? An Analysis of Financial Risk Controls

The article revisits the debate on tampering with WeChat balances, explaining that joint database signatures can detect but not stop alterations, that risk‑control checks and code safeguards block unauthorized withdrawals, that identity verification prevents cross‑account transfers, and that a layered, real‑time monitoring system is essential for robust fund protection.

database securityfinancial fraudrisk control
0 likes · 6 min read
Can Database Signatures Prevent Tampering? An Analysis of Financial Risk Controls
Huolala Tech
Huolala Tech
Dec 24, 2024 · Information Security

How Huolala Accelerated Risk‑Control Testing with Automated Tools

This article details Huolala's challenges in risk‑control testing amid rapid business growth, outlines the inefficiencies of manual configuration verification, and explains how a suite of automated tools and a full‑scope interception strategy dramatically improved testing efficiency, data quality assurance, and cross‑team collaboration.

Testing Automationdata qualityprocess optimization
0 likes · 21 min read
How Huolala Accelerated Risk‑Control Testing with Automated Tools
DataFunSummit
DataFunSummit
Nov 27, 2024 · Artificial Intelligence

Applying Large Language Models in Data Management and Risk Control at Ping An One Wallet

This presentation details how Ping An One Wallet leverages large language models across five key areas—current application status, data management, risk control, technical architecture, and a Q&A session—highlighting strategies such as vectorized rule storage, prompt engineering, RAG enhancements, and workflow agents to improve efficiency and accuracy in data governance and fraud detection.

AI ArchitectureVector Databasedata governance
0 likes · 16 min read
Applying Large Language Models in Data Management and Risk Control at Ping An One Wallet
DataFunTalk
DataFunTalk
Jul 27, 2024 · Information Security

Classification of Risk Control and Full-Scenario Anti-Cheat Strategies in the Internet

The article outlines how internet and financial risk control are categorized into anti‑cheat, anti‑fraud, and content security, describes full‑scenario cheating types, and presents a three‑step joint defense framework using perception, identification, and mitigation with feature‑based analysis.

Information Securityanti-cheatfeature engineering
0 likes · 7 min read
Classification of Risk Control and Full-Scenario Anti-Cheat Strategies in the Internet
DataFunSummit
DataFunSummit
Jul 25, 2024 · Artificial Intelligence

LOGIN: Large‑Model‑Assisted Graph Neural Networks for User Behavior Risk Control

This article presents the latest advances from the Chinese Academy of Sciences in graph machine learning for user behavior risk control, introducing the LOGIN framework that leverages large language models as consultants to iteratively enhance GNN training, and demonstrates its effectiveness through extensive experiments on homogeneous and heterogeneous graph benchmarks.

Machine Learninggraph neural networkslarge language models
0 likes · 14 min read
LOGIN: Large‑Model‑Assisted Graph Neural Networks for User Behavior Risk Control
iQIYI Technical Product Team
iQIYI Technical Product Team
Jul 5, 2024 · Big Data

RiskFactor: An Integrated Real‑Time and Offline Feature Platform for Risk Control

RiskFactor unifies iQIYI’s legacy real‑time and offline feature platforms onto Opal’s DAG‑plus‑SQL engine, accelerating feature production fifteen‑fold, cutting latency from hours to minutes, streamlining development, lowering costs, and delivering more reliable, versioned risk‑control capabilities against sophisticated online threats.

Big DataDAGReal-time Streaming
0 likes · 14 min read
RiskFactor: An Integrated Real‑Time and Offline Feature Platform for Risk Control
DataFunTalk
DataFunTalk
Jun 13, 2024 · Artificial Intelligence

A/B Testing and Model Grayscale in Credit Risk Control: Concepts, Requirements, and Integrated Solutions

This article explains how A/B testing and model grayscale are applied in credit risk control, discusses the specific requirements for effective testing, compares upstream and risk‑system traffic splitting methods, and proposes an integrated all‑in‑one solution to simplify feature engineering, model evaluation, and deployment.

A/B testingcredit riskfeature engineering
0 likes · 5 min read
A/B Testing and Model Grayscale in Credit Risk Control: Concepts, Requirements, and Integrated Solutions
DataFunTalk
DataFunTalk
Jun 11, 2024 · Artificial Intelligence

Intelligent Risk Control: Concepts, Challenges, and Integrated Operational Architecture for Banking

This article explores the concept of intelligent risk control in banking, detailing its AI‑driven architecture, current challenges such as external data costs and model‑deployment friction, and proposes an integrated operational framework that leverages big data, knowledge graphs, and MLOps to enhance risk detection and decision‑making.

Artificial IntelligenceMLOpsbanking
0 likes · 14 min read
Intelligent Risk Control: Concepts, Challenges, and Integrated Operational Architecture for Banking
DataFunSummit
DataFunSummit
Jun 7, 2024 · Artificial Intelligence

Understanding Feature Engineering for Risk Control Systems and Building an Easy-to-Use Feature Platform

Feature engineering, the process of creating input variables for machine learning models, is crucial for banking risk control; this article explains the concepts of features, variables, and metrics, outlines challenges in real‑time feature pipelines, and proposes a practical architecture and best practices for building an efficient, low‑code feature platform.

Machine Learningfeature engineeringplatform design
0 likes · 10 min read
Understanding Feature Engineering for Risk Control Systems and Building an Easy-to-Use Feature Platform
DataFunTalk
DataFunTalk
Jun 4, 2024 · Artificial Intelligence

Building an Integrated Intelligent Risk Control System for Banking

The article explores the concept, challenges, and future directions of intelligent banking risk control, emphasizing data integration, AI-driven modeling, feature engineering, MLOps, knowledge graphs, and large‑model applications to create a unified, automated risk management platform.

AIMLOpsbanking
0 likes · 10 min read
Building an Integrated Intelligent Risk Control System for Banking
DataFunSummit
DataFunSummit
May 11, 2024 · Artificial Intelligence

Why Causal Inference Matters in Machine Learning and Its Banking Applications

The article explains the necessity of incorporating causal relationships into machine learning, outlines the development of causal science, and details how uplift modeling and causal‑regularized stable learning are applied to marketing and risk control in the banking sector, while also discussing practical challenges and experimental results.

Machine LearningUplift Modelingbanking
0 likes · 14 min read
Why Causal Inference Matters in Machine Learning and Its Banking Applications
DataFunSummit
DataFunSummit
Apr 16, 2024 · Artificial Intelligence

Intelligent Risk Control: Definitions, Expert Systems, Algorithmic Systems, and Emerging AI Techniques

This article explains intelligent risk control as a synergy of expert experience and algorithmic decision‑making, outlines its definition, expert human systems, digital algorithmic systems, and explores advanced AI methods such as reinforcement learning, large language models with knowledge graphs, adversarial learning, graph neural networks, and a practical supply‑chain case study.

Graph Neural NetworkLarge Language Modeladversarial learning
0 likes · 11 min read
Intelligent Risk Control: Definitions, Expert Systems, Algorithmic Systems, and Emerging AI Techniques
DataFunSummit
DataFunSummit
Mar 16, 2024 · Information Security

Building a Fraud Advertising Flow Risk‑Control System: Eight Key Elements and Practical Practices

This article shares practical experience from Shumei on constructing a fraud‑advertising flow risk‑control system, detailing eight essential elements, scenario analysis, black‑industry pathways, event design, strategy formulation, implementation methods, value demonstration, and a Q&A session for developers and product teams.

Information Securityadvertising securitybusiness strategy
0 likes · 17 min read
Building a Fraud Advertising Flow Risk‑Control System: Eight Key Elements and Practical Practices
DataFunSummit
DataFunSummit
Jan 30, 2024 · Artificial Intelligence

Intelligent Risk Control Ecosystem: Building a Closed‑Loop System with Data, Models, Strategies, and Experiments

This article explains why and how to build an intelligent risk‑control ecosystem that forms a closed loop across data, model, strategy and experiment stages, illustrating the approach with QiFu Technology’s Yushu platform and detailing the architecture, components, and operational benefits for financial services.

AIClosed‑LoopFinTech
0 likes · 11 min read
Intelligent Risk Control Ecosystem: Building a Closed‑Loop System with Data, Models, Strategies, and Experiments
DataFunSummit
DataFunSummit
Jan 28, 2024 · Artificial Intelligence

Causal Inference and Bias Correction Methods in Ant Financial Risk Control

This article presents how Ant Group applies causal inference techniques—including confounding bias analysis, double‑difference methods, DiDTree, and shrinkage‑based causal trees—to correct biases in risk‑control scenarios, detailing the theoretical background, algorithmic designs, experimental validation, and practical deployment.

Ant FinancialBias CorrectionMachine Learning
0 likes · 21 min read
Causal Inference and Bias Correction Methods in Ant Financial Risk Control
Data Thinking Notes
Data Thinking Notes
Jan 16, 2024 · Fundamentals

Building Comprehensive Risk Feature Portraits for All Loan Stages

This article explains how to construct risk control feature portraits across four key scenarios—marketing, pre‑loan, in‑loan, and post‑loan—by selecting appropriate data dimensions, describing usable customer, behavior, and ID‑linked data, and illustrating each portrait with visual examples to guide accurate risk assessment.

credit riskdata dimensionsfeature engineering
0 likes · 9 min read
Building Comprehensive Risk Feature Portraits for All Loan Stages
Bilibili Tech
Bilibili Tech
Jan 5, 2024 · Cloud Native

ChangePilot: Bilibili’s Unified Change Management Platform and Practices

ChangePilot is Bilibili’s unified change‑management platform that standardizes change definition, lifecycle, and risk governance through a platform‑scenario model and five control levels (G0‑G4), offering built‑in checks, searchable records, subscription alerts, intelligent correlation, and emergency channels to boost production stability while maintaining operational efficiency.

SREchange managementrisk control
0 likes · 29 min read
ChangePilot: Bilibili’s Unified Change Management Platform and Practices
Bilibili Tech
Bilibili Tech
Dec 19, 2023 · Information Security

API Anti-Crawling Architecture and Effectiveness at Bilibili

Bilibili combats API abuse by deploying a two‑layer anti‑crawling system—gateway‑side signature verification and a GAIA risk‑control engine integrated into APIGW—that unifies device data, applies flexible rule packages, triggers diverse human challenges, and has already blocked billions of malicious requests with over 85% recall while preventing service outages.

API SecurityBilibiliTraffic analysis
0 likes · 22 min read
API Anti-Crawling Architecture and Effectiveness at Bilibili
AntTech
AntTech
Dec 18, 2023 · Cloud Native

AlterShield Open‑Source Change Risk Control Platform: Architecture, Features, and Future Roadmap

AlterShield is an open‑source change‑risk prevention solution originally built by Ant Group that provides lifecycle‑aware change defense, cloud‑native operator integration, KDE‑based anomaly detection, and extensible plug‑in frameworks, with detailed module descriptions, recent v1.0 releases, and a roadmap for advanced monitoring and noise‑reduction capabilities.

Cloud NativeKubernetesOpen Source
0 likes · 13 min read
AlterShield Open‑Source Change Risk Control Platform: Architecture, Features, and Future Roadmap
Alimama Tech
Alimama Tech
Dec 14, 2023 · Artificial Intelligence

AI-Driven Content Risk Control: System Evolution and Optimization at Alibaba

Alibaba Mom’s AI‑driven content risk platform has evolved from simple rule‑matching to a data‑centric, serverless architecture that integrates large‑model acceleration, decision‑tree compilation, high‑throughput vector retrieval and elastic word‑matching, delivering sub‑100 ms text and sub‑1 s image moderation while remaining stable during peak promotional traffic.

AIDevOpscontent moderation
0 likes · 25 min read
AI-Driven Content Risk Control: System Evolution and Optimization at Alibaba
DataFunSummit
DataFunSummit
Nov 17, 2023 · Artificial Intelligence

Semantic‑Aware Active Learning on Graph Data for Risk Control: Tackling Sample Imbalance

This presentation discusses the challenges of label scarcity and class imbalance in graph‑based risk‑control scenarios and proposes a semantic‑aware active‑learning framework that combines uncertainty, graph structure, prototype diversity, and double‑channel information alignment to improve node classification performance.

active learninggraph datagraph neural networks
0 likes · 18 min read
Semantic‑Aware Active Learning on Graph Data for Risk Control: Tackling Sample Imbalance
DataFunTalk
DataFunTalk
Sep 21, 2023 · Artificial Intelligence

Active Learning and Sample Imbalance in Graph Data for Risk Control

This presentation explores the challenges of label scarcity and class imbalance in graph‑based risk‑control scenarios, proposing semantic‑aware active learning and prototype‑driven sampling strategies to improve node classification performance on imbalanced graph datasets.

Machine Learningactive learninggraph data
0 likes · 16 min read
Active Learning and Sample Imbalance in Graph Data for Risk Control
Baidu Tech Salon
Baidu Tech Salon
Sep 13, 2023 · Artificial Intelligence

How Baidu’s Wenxin Yiyan Powers AI Text Creation in Mobile Apps

This article explains the technical workflow behind Baidu App’s AI‑assisted text generation, covering large‑language‑model fundamentals, three‑layer system architecture, prompt design, risk‑control measures, SSE streaming, and a custom Android TextView implementation for smooth, gradient‑styled output.

AI text generationAndroid UILarge Language Model
0 likes · 13 min read
How Baidu’s Wenxin Yiyan Powers AI Text Creation in Mobile Apps
DataFunSummit
DataFunSummit
Aug 22, 2023 · Artificial Intelligence

Applying Artificial Intelligence to Cross‑Border Risk Control: Practices and Insights

This article presents how artificial intelligence is applied to cross‑border risk control, covering the company background, intelligent risk‑prevention architecture, transaction and marketing fraud scenarios, model design, data challenges, and practical Q&A insights for overseas fraud mitigation.

AIGraph Neural NetworkMachine Learning
0 likes · 18 min read
Applying Artificial Intelligence to Cross‑Border Risk Control: Practices and Insights
DataFunSummit
DataFunSummit
Aug 11, 2023 · Artificial Intelligence

Application of Knowledge Graphs in Risk Control at Wing Payment

This presentation details how Wing Payment leverages a large‑scale, multimodal knowledge graph and AI techniques—including computer vision, unsupervised and supervised learning, federated learning, and graph neural networks—to detect and mitigate fraud across payment, e‑commerce, and credit scenarios, while outlining system architecture, algorithmic approaches, case studies, and future research directions.

Financial Servicesfraud detectiongraph algorithms
0 likes · 17 min read
Application of Knowledge Graphs in Risk Control at Wing Payment
DataFunSummit
DataFunSummit
Aug 2, 2023 · Big Data

Loop Detection in Risk Control: Challenges, Distributed Graph Computing Optimizations, and ArcNeural Engine Case Studies

This article discusses the challenges of loop detection in financial risk control, presents distributed graph computing optimization techniques—including pruning, multi‑graph handling, and memory‑efficient algorithms—shows experimental results, and shares real‑world ArcNeural engine case studies and future directions.

ArcNeuralBig DataDistributed computing
0 likes · 13 min read
Loop Detection in Risk Control: Challenges, Distributed Graph Computing Optimizations, and ArcNeural Engine Case Studies
AntTech
AntTech
Jul 20, 2023 · Operations

AlterShield: An Open‑Source Change Management Platform for Risk Control and Observability

AlterShield is an open‑source, end‑to‑end change‑control platform that systematizes change perception, risk analysis, and defense across distributed cloud‑native environments, enabling SRE teams to mitigate stability risks through standardized protocols, incremental rollout, and automated observability checks.

Cloud NativeOpen SourceSRE
0 likes · 24 min read
AlterShield: An Open‑Source Change Management Platform for Risk Control and Observability
DataFunSummit
DataFunSummit
Jun 18, 2023 · Artificial Intelligence

Intelligent Risk Control Forum – Sessions on Graph Algorithms, Pre‑trained GNN, Loop Detection, Active Learning, and Unstructured Data

The Intelligent Risk Control Forum gathers experts from Tencent, Huawei, Ant Group and academia to present the latest research on graph‑based algorithms, loop detection, pre‑trained graph neural networks, active learning and unstructured‑data risk models, addressing challenges such as data sparsity, adversarial behavior and model robustness.

Loop DetectionMachine Learninggraph algorithms
0 likes · 8 min read
Intelligent Risk Control Forum – Sessions on Graph Algorithms, Pre‑trained GNN, Loop Detection, Active Learning, and Unstructured Data
DataFunTalk
DataFunTalk
May 29, 2023 · Artificial Intelligence

Applying Graph Computing for Risk Control in Wing Pay: Architecture, Algorithms, and Future Directions

The presentation details how Wing Pay leverages graph computing and graph neural networks to detect and mitigate financial fraud across payment, e‑commerce, and credit scenarios, describing business background, system architecture, algorithmic approaches, real‑time subgraph mining, and future research directions.

distributed graph databasefinancial fraud detectiongraph computing
0 likes · 15 min read
Applying Graph Computing for Risk Control in Wing Pay: Architecture, Algorithms, and Future Directions
Snowball Engineer Team
Snowball Engineer Team
May 19, 2023 · Backend Development

Design and Implementation of a Rule Engine for Content Risk Control

This article details the design, architecture, and practical deployment of a scalable rule engine that separates logic from data, supports high‑concurrency execution, provides a visual DSL for business users, and enables rapid risk‑control strategy adjustments with improved performance and maintainability.

FeatureRule EngineScheduling
0 likes · 22 min read
Design and Implementation of a Rule Engine for Content Risk Control
Ziru Technology
Ziru Technology
Mar 29, 2023 · Information Security

How Ziroom’s Risk Control Platform Detects and Prevents Account Fraud

This article outlines the background, risk scenarios, and technical design of Ziroom's risk control platform, describing how decision‑engine calculations, data‑driven feature extraction, and rule‑based strategies are used to identify and mitigate fraudulent account activities and reduce bad‑debt losses.

Data AnalysisFraud PreventionRisk Detection
0 likes · 7 min read
How Ziroom’s Risk Control Platform Detects and Prevents Account Fraud
Data Thinking Notes
Data Thinking Notes
Mar 14, 2023 · Fundamentals

Practical Data Governance Guide for SMEs: Strategies, Steps, and Tools

This article explains why data governance matters for small‑to‑medium enterprises, outlines its four key values, describes essential governance components, and provides a step‑by‑step framework—including timing, roles, standards, execution mechanisms, tools, and common pitfalls—to help organizations implement effective data governance.

Data ManagementSMEdata governance
0 likes · 16 min read
Practical Data Governance Guide for SMEs: Strategies, Steps, and Tools
DataFunSummit
DataFunSummit
Mar 3, 2023 · Artificial Intelligence

Intelligent Risk Control System Architecture and Development Trends

This article introduces the architecture of intelligent risk control, detailing its four-layer structure, the underlying data, feature, model, and decision components, platform interactions, and future development trends, highlighting how AI and big data enhance risk management efficiency and accuracy.

Big DataDecision SystemsMachine Learning
0 likes · 12 min read
Intelligent Risk Control System Architecture and Development Trends
DataFunTalk
DataFunTalk
Feb 5, 2023 · Big Data

Big Data Risk Control System for Textile Industry Supply Chain Finance

This article presents a comprehensive overview of the textile industry's supply chain, identifies key policy, industry, operational, and moral risks, and introduces a "1+D" big‑data risk‑control framework—including data foundations, model and rule libraries, and a configurable risk‑control system—illustrated with a real‑world IoT‑driven case study and discussion of emerging opportunities and challenges.

Industry 4.0IoTcredit modeling
0 likes · 13 min read
Big Data Risk Control System for Textile Industry Supply Chain Finance
DataFunTalk
DataFunTalk
Jan 17, 2023 · Information Security

Community Anti‑Cheat Exploration and Practice in Xiaohongshu

This article examines Xiaohongshu's community anti‑cheat efforts, detailing the significance of fraud prevention, the black‑gray industry ecosystem, strategic defense frameworks, system architecture, and practical risk governance and detection methods for data‑inflation attacks.

Communityanti-cheatdata integrity
0 likes · 15 min read
Community Anti‑Cheat Exploration and Practice in Xiaohongshu
DataFunSummit
DataFunSummit
Jan 11, 2023 · Artificial Intelligence

Intelligent Financial Risk Control Platform Architecture and Expert Insights

This article outlines the architecture of an intelligent financial risk control platform, detailing data sources, big‑data processing, feature engineering, decision engines, model types, and real‑world application scenarios, while highlighting expert‑identified challenges such as compliance, data quality, real‑time performance, and fraud detection.

Financial AIdecision enginefeature engineering
0 likes · 11 min read
Intelligent Financial Risk Control Platform Architecture and Expert Insights
AntTech
AntTech
Dec 26, 2022 · Artificial Intelligence

AntSec MLOps: Building a Scalable, Automated, and Trustworthy AI Risk‑Control Platform

This article describes the challenges, overall architecture, data development, model monitoring, continuous training, security‑trustworthiness, and future roadmap of Ant Security's intelligent risk‑control platform, illustrating how AI, big data, and cloud computing are integrated to create a scalable, automated MLOps solution for dynamic fraud detection and mitigation.

AIMLOpsModel Monitoring
0 likes · 28 min read
AntSec MLOps: Building a Scalable, Automated, and Trustworthy AI Risk‑Control Platform
DataFunSummit
DataFunSummit
Dec 15, 2022 · Information Security

Multi‑Party Secure Risk Control: Challenges, Architecture, and Practice

This article examines the growing complexity of financial risk scenarios, outlines global privacy regulations, describes Ant Group's three‑layer multi‑party secure risk‑control architecture, showcases anti‑fraud and external client use cases, and discusses current challenges and future directions for secure, privacy‑preserving risk management.

Regulatory Compliancefinancial securityprivacy protection
0 likes · 14 min read
Multi‑Party Secure Risk Control: Challenges, Architecture, and Practice
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Nov 30, 2022 · Information Security

Best Practices for Community and E‑commerce Fraud Prevention on Xiaohongshu: Understanding and Combating Fake Traffic

The article outlines Xiaohongshu’s comprehensive anti‑fraud strategy—defining fake traffic, exposing three service‑provider models, detailing identification and governance challenges, and recommending engine‑based risk‑control, a five‑step process, and AI‑driven behavior, clustering, and graph analyses that have already eliminated billions of fraudulent likes.

anti-fraude-commerce securityfraud detection
0 likes · 22 min read
Best Practices for Community and E‑commerce Fraud Prevention on Xiaohongshu: Understanding and Combating Fake Traffic
JD Tech Talk
JD Tech Talk
Nov 24, 2022 · Artificial Intelligence

Design and Implementation of an Online Inference Service for Risk‑Control Algorithms

This article describes the architecture, key features, dynamic deployment, performance optimizations, and real‑world results of a high‑throughput online inference platform that serves deep‑learning models for JD.com’s risk‑control decision engine, achieving near‑hundred‑fold latency improvements.

AIMicroservicesModel Serving
0 likes · 11 min read
Design and Implementation of an Online Inference Service for Risk‑Control Algorithms
DataFunTalk
DataFunTalk
Oct 28, 2022 · Big Data

Angel Graph: A High‑Performance Distributed Graph Computing Framework for Intelligent Risk Control

Angel Graph is a high‑performance, fault‑tolerant distributed graph computing framework developed by Tencent, featuring scalable node‑metric, community‑detection, and graph‑neural‑network algorithms optimized for billion‑node, trillion‑edge datasets, and demonstrated through practical applications in intelligent financial risk control.

Distributed Systemscommunity-detectiongraph computing
0 likes · 20 min read
Angel Graph: A High‑Performance Distributed Graph Computing Framework for Intelligent Risk Control
DataFunSummit
DataFunSummit
Oct 28, 2022 · Big Data

Design and Practice of a Risk Control Experiment Platform at Du Xiaoman

The article introduces the business background, architectural design, evolution challenges, and step‑by‑step methodology for building and operating a risk‑control experiment platform that supports online and offline A/B testing, data analysis, and strategy iteration in internet finance.

A/B testingData AnalysisExperiment Platform
0 likes · 12 min read
Design and Practice of a Risk Control Experiment Platform at Du Xiaoman
DataFunTalk
DataFunTalk
Oct 6, 2022 · Information Security

Graph Machine Learning for Security Risk Control: Architecture, Models, and Future Directions

This article presents a comprehensive overview of applying graph machine learning to security risk control, covering background cases, system architecture, dynamic heterogeneous graph modeling with HGT and DDGCL, experimental results, and future research directions for fraud, money‑laundering, and gambling detection.

contrastive learningdynamic heterogeneous graphfinancial fraud detection
0 likes · 10 min read
Graph Machine Learning for Security Risk Control: Architecture, Models, and Future Directions
DataFunSummit
DataFunSummit
Aug 22, 2022 · Big Data

Design and Practice of 360ShuKe Risk Control System Architecture

This presentation details 360ShuKe's risk control system architecture, covering its layered design, credit data lifecycle management, real‑time indicator computation, feature platform evolution, and solutions to challenges such as data loss, rapid model iteration, and feature drift.

Credit Scoringdata pipelinefeature engineering
0 likes · 12 min read
Design and Practice of 360ShuKe Risk Control System Architecture
DataFunSummit
DataFunSummit
Aug 20, 2022 · Information Security

Content Risk Control Industry Overview and Evaluation System

The article reviews the development background of the digital economy‑driven content risk control industry, examines current content moderation technologies and challenges, describes the establishment of a content technology promotion alliance, outlines its research directions and evaluation standards, and includes a Q&A on regulatory collaboration.

Artificial IntelligenceInformation SecurityStandards
0 likes · 16 min read
Content Risk Control Industry Overview and Evaluation System
DataFunSummit
DataFunSummit
Aug 18, 2022 · Artificial Intelligence

Evolution and Technical Practices of Du Xiaoman Risk Control Decision Engine

This article presents a comprehensive overview of Du Xiaoman's risk control system evolution—from early rule‑based engines to AI‑enhanced intelligent decision engines—detailing technical practices such as strategy iteration acceleration, decision latency reduction, parallel workflow design, and future trends in data quality, automated strategy optimization, and real‑time analytics.

Machine Learningdata qualitydecision engine
0 likes · 18 min read
Evolution and Technical Practices of Du Xiaoman Risk Control Decision Engine
ITPUB
ITPUB
Aug 13, 2022 · Big Data

How Alibaba Uses Flink to Power Massive Real‑Time Risk Control

This article explains how Alibaba leverages Flink to handle over 40 billion events per second across all business units, detailing risk‑control concepts, rule types, architectural stages, resource tuning, dynamic CEP, shared computing, and the FY23 roadmap for large‑scale streaming risk management.

AlibabaBig DataCEP
0 likes · 16 min read
How Alibaba Uses Flink to Power Massive Real‑Time Risk Control
DataFunTalk
DataFunTalk
Aug 12, 2022 · Artificial Intelligence

Multi‑Task Learning for Sample Selection Bias in Financial Risk Control

This article presents a comprehensive study on addressing sample selection bias in credit risk modeling by applying multi‑task learning techniques, including MoE/MMoE, ESMM, hierarchical attention, and semi‑supervised loss, and demonstrates their effectiveness through two real‑world application cases and experimental results.

Financial AIMoErisk control
0 likes · 14 min read
Multi‑Task Learning for Sample Selection Bias in Financial Risk Control
DataFunSummit
DataFunSummit
Aug 8, 2022 · Artificial Intelligence

Voice Analysis for Financial Risk Control: Feature Extraction, Single-Channel Speech Separation, and Text Tagging

This talk presents the application of voice analysis in financial risk control, covering voice‑based risk feature extraction, single‑channel speech separation techniques, and speech‑text labeling methods, demonstrating how acoustic and textual cues can be leveraged to improve risk detection and model performance.

Audio ProcessingMachine Learningrisk control
0 likes · 12 min read
Voice Analysis for Financial Risk Control: Feature Extraction, Single-Channel Speech Separation, and Text Tagging
DataFunSummit
DataFunSummit
Jul 30, 2022 · Artificial Intelligence

Graph Link Prediction Techniques, Self‑Developed GNN Models, and Applications in Risk Control

This article reviews graph link prediction problems, categorizes existing methods from heuristics to GNN‑based approaches, introduces several self‑designed neighborhood attention networks and adversarial negative‑sampling strategies, discusses pairwise ranking objectives, reports OGB competition results, and explores practical risk‑control applications.

AIgraph link predictiongraph neural networks
0 likes · 15 min read
Graph Link Prediction Techniques, Self‑Developed GNN Models, and Applications in Risk Control
Bilibili Tech
Bilibili Tech
Jun 15, 2022 · Information Security

Internet Risk Control: Overview, Precise Traffic Perception, and Full-Scenario Joint Defense (Bilibili Case)

The talk, led by Bilibili’s risk‑control head, outlines Internet risk‑control fundamentals, precise traffic perception techniques, and a full‑scenario joint‑defense framework that combines hierarchical identification, cross‑scene signal sharing, statistical anomaly detection, and layered mitigation (soft and hard) to counter black‑market attacks on platforms.

BilibiliInternet SecurityTraffic analysis
0 likes · 13 min read
Internet Risk Control: Overview, Precise Traffic Perception, and Full-Scenario Joint Defense (Bilibili Case)
DataFunTalk
DataFunTalk
Jun 14, 2022 · Information Security

Comprehensive Internet Risk Control: Overview, Precise Traffic Perception, and Full‑Scenario Joint Defense and Control

This presentation explores internet risk control, detailing its classification, precise traffic perception methods, and full‑scenario joint defense and control strategies, using Bilibili as a case study to illustrate challenges, adversaries, detection techniques, and mitigation measures.

BilibiliInternet SecurityTraffic analysis
0 likes · 17 min read
Comprehensive Internet Risk Control: Overview, Precise Traffic Perception, and Full‑Scenario Joint Defense and Control
DataFunTalk
DataFunTalk
Jun 10, 2022 · Artificial Intelligence

Intelligent Risk Control Algorithms for Logistics and Commercial Vehicle Finance

This article examines the rapid growth of financing demand among small‑and‑micro enterprises in logistics and commercial vehicle sectors, outlines the high financial penetration in the industry, and details how AI‑driven intelligent risk‑control frameworks—covering data pipelines, model selection, feature‑portrait systems, and graph‑based applications—address the challenges and opportunities of modern financial risk management.

Artificial IntelligenceMachine Learninggraph analytics
0 likes · 17 min read
Intelligent Risk Control Algorithms for Logistics and Commercial Vehicle Finance
AntTech
AntTech
May 26, 2022 · Artificial Intelligence

ITU Approves Ant Group‑Led Interactive Intelligent Risk Control Standard

The International Telecommunication Union (ITU) has officially adopted an Ant Group‑initiated international standard for interactive intelligent risk control, outlining technical capabilities such as interactive functions and machine‑learning abilities to enhance proactive fraud detection across the industry.

Ant GroupArtificial IntelligenceITU
0 likes · 5 min read
ITU Approves Ant Group‑Led Interactive Intelligent Risk Control Standard
DevOps
DevOps
May 9, 2022 · R&D Management

Effective Project Risk Control: Five Key Practices to Prevent Delays

This article shares practical guidance on identifying common project risks and outlines five essential practices—comprehensive design, schedule buffers, embracing requirement changes, daily risk synchronization, and detailed launch planning—to help teams manage risks and keep projects on track.

R&Drisk controlschedule buffer
0 likes · 7 min read
Effective Project Risk Control: Five Key Practices to Prevent Delays
DataFunSummit
DataFunSummit
May 1, 2022 · Artificial Intelligence

Intelligent Risk Control Platform: Design Background, Full‑Cycle Strategy and Model Management, and Business Architecture

This article presents a comprehensive overview of an intelligent risk control middle‑platform, covering its design background, the five‑characteristics and "five‑all double‑core" concept, full‑cycle strategy and model lifecycle management, business architecture, and real‑world application cases, highlighting the integration of rule‑based and AI‑driven decision engines.

AIAutoMLModel Management
0 likes · 13 min read
Intelligent Risk Control Platform: Design Background, Full‑Cycle Strategy and Model Management, and Business Architecture
DataFunSummit
DataFunSummit
Apr 26, 2022 · Artificial Intelligence

Macro Trends and Core Challenges of Intelligent Risk Control in the Banking Industry

The article analyzes the downward macroeconomic trend since 2000, its impact on bank asset growth, and outlines the four main pain points—positioning, organization, talent, and digital capability—of intelligent risk control, while also detailing fraud types, regulatory pressures, and future industry directions.

Artificial IntelligenceFinancial Industrybanking
0 likes · 13 min read
Macro Trends and Core Challenges of Intelligent Risk Control in the Banking Industry
DataFunTalk
DataFunTalk
Apr 19, 2022 · Artificial Intelligence

Intelligent Risk Control Platform: Design Principles, Strategy and Model Lifecycle Management, and Architecture

This article presents a comprehensive overview of an intelligent risk control platform, covering its design background, six core characteristics, the "five‑full double‑core" concept, end‑to‑end strategy and model lifecycle management, business architecture atomization, and real‑world anti‑fraud case studies.

AIModel Managementdata engineering
0 likes · 13 min read
Intelligent Risk Control Platform: Design Principles, Strategy and Model Lifecycle Management, and Architecture
Architecture Digest
Architecture Digest
Mar 23, 2022 · Mobile Development

One-Click Mobile Number Login and Verification Services by Chinese Telecom Operators

Chinese telecom operators provide one‑click mobile number login and verification services that leverage carrier gateway authentication, allowing iOS, Android, H5, and mini‑program apps to obtain the device’s phone number or validate it without passwords, improving user experience and security across various scenarios.

AndroidMobile AuthenticationPhone Verification
0 likes · 10 min read
One-Click Mobile Number Login and Verification Services by Chinese Telecom Operators
JD Retail Technology
JD Retail Technology
Feb 28, 2022 · Operations

JD Retail Technology’s Spring Festival Gala Red Envelope Project: Architecture, High‑Concurrency Operations, and Data‑Driven Innovations

The article details how JD Retail Technology tackled the Spring Festival Gala red‑envelope challenge by leveraging a highly elastic cloud platform, PaaS architecture, real‑time data analytics, and sophisticated risk‑control mechanisms to handle unprecedented traffic without adding new hardware, offering valuable insights for large‑scale retail operations.

Cloud ComputingData AnalyticsRetail Technology
0 likes · 13 min read
JD Retail Technology’s Spring Festival Gala Red Envelope Project: Architecture, High‑Concurrency Operations, and Data‑Driven Innovations
DataFunTalk
DataFunTalk
Jan 7, 2022 · Artificial Intelligence

Building an Intelligent Risk Control Tool System: Architecture and Key Components

This article presents a comprehensive overview of constructing an intelligent risk control tool system, detailing its evolution from manual processes to automated platforms, describing the core "three‑piece" suite (model, decision, and feature platforms) along with supporting data and monitoring platforms, and explaining the functions and interactions of each module such as data ingestion, feature engineering, automated modeling, decision flow, and real‑time monitoring.

Data PlatformMonitoringdecision engine
0 likes · 13 min read
Building an Intelligent Risk Control Tool System: Architecture and Key Components
Java Captain
Java Captain
Dec 14, 2021 · Mobile Development

One‑Click Mobile Number Authentication and Verification Services from China Mobile, China Telecom, and China Unicom

The article explains how carrier‑based one‑click login and mobile‑number verification work across China Mobile, China Telecom, and China Unicom, detailing SDK functions, network requirements, token handling, and security scenarios for iOS, Android, H5 and mini‑programs.

Mobile Authenticationcarrier SDKone‑click login
0 likes · 12 min read
One‑Click Mobile Number Authentication and Verification Services from China Mobile, China Telecom, and China Unicom
DataFunTalk
DataFunTalk
Nov 20, 2021 · Artificial Intelligence

Intelligent Pre‑Loan Risk Control: Multi‑Loop Feedback Model, AutoML Controller Selection, Unsupervised Feature Extraction, and Metric Design

The article presents Akulaku's intelligent pre‑loan risk control framework, detailing a multi‑loop feedback control model, AutoML‑driven controller selection, unsupervised feature extraction techniques, and a comprehensive metric quantification system to improve stability, steady‑state, and dynamic responses of financial risk management.

AutoMLUnsupervised Learningfeedback control
0 likes · 12 min read
Intelligent Pre‑Loan Risk Control: Multi‑Loop Feedback Model, AutoML Controller Selection, Unsupervised Feature Extraction, and Metric Design
Baidu Intelligent Testing
Baidu Intelligent Testing
Oct 19, 2021 · Artificial Intelligence

Graph-Based Anti-Fraud: Gang Mining and Node Representation for Account Security

This article describes how Baidu's account security team leverages large‑scale graph technology and graph neural networks to detect and characterize black‑industry cheating gangs, presents a customized GraphSAGE link‑prediction model, and evaluates its superiority over MLP and GCN embeddings for downstream risk‑control tasks.

Machine LearningNode Representationanti-fraud
0 likes · 12 min read
Graph-Based Anti-Fraud: Gang Mining and Node Representation for Account Security
DataFunTalk
DataFunTalk
Oct 15, 2021 · Artificial Intelligence

Risk Control and Operations for Existing Credit Customers: Models, Strategies, and Practices

This article examines how financial institutions can manage risk and improve operations for existing loan customers by analyzing client flow, regulatory impacts, accelerated deterioration, and layered segmentation, and by applying advanced models such as rule‑based alerts, B‑card scoring, LSTM, and survival analysis to enable timely risk detection and targeted cross‑selling.

Customer SegmentationMachine LearningOperations
0 likes · 20 min read
Risk Control and Operations for Existing Credit Customers: Models, Strategies, and Practices
DataFunSummit
DataFunSummit
Oct 15, 2021 · Artificial Intelligence

Risk Control and Operations for Existing Loan Customers

This article examines how financial institutions can manage risk and improve operations for existing loan customers by analyzing customer flow during the pandemic, policy impacts, rapid deterioration patterns, and by applying advanced models such as LSTM, survival analysis, and B‑card strategies to enable timely risk detection and targeted cross‑selling.

LSTMbehavior modelingcustomer operations
0 likes · 19 min read
Risk Control and Operations for Existing Loan Customers
DataFunSummit
DataFunSummit
Oct 4, 2021 · Artificial Intelligence

Intelligent Risk Control Practices and Architecture by Shumei Technology

This article presents Shumei Technology's comprehensive approach to fraud prevention, detailing the scale of black‑market losses, typical abuse scenarios, challenges of traditional defenses, and the design of a full‑stack, AI‑driven risk control system that combines device, behavior, and content detection with real‑time, multi‑cluster deployment and case studies from banking and live‑stream platforms.

Artificial IntelligenceInformation Securityfraud detection
0 likes · 24 min read
Intelligent Risk Control Practices and Architecture by Shumei Technology