J9九游会

AISWare AI² FL

AISWare AI² FL meets industry needs for cross-domain modeling and data sharing, providing secure, intuitive enterprise federated learning. It uses privacy computing and cryptography to ensure secure AI collaboration and compliant data operations across institutions.

Product superiority

Product value

01

Federal learning industry applications

  • Pre-configured Industry Templates
  • One-Stop Model Development and Application
  • Data Value Operations
02

Trusted Federated Learning

  • High-Performance Billion-Scale PSI
  • Blockchain-Enabled Trusted Notarization
03

Interconnectivity Platform Architecture

  • Leading International and Domestic Interconnectivity Standards
  • Pluggable Deployment for a Collaborative Privacy Computing Ecosystem
04

Engineering fast landing

  • Scenario-Based Modeling
  • User-Friendly Operations and Maintenance

Application scenario

Enterprise Data Monetization
  • Marketing lead Scoring
  • Joint Anti-Fraud Initiatives
  • Cross-Analysis
  • Personalized Recommendations
Cross-Organizational Data Sharing
  • Customer Profiling
  • Joint Marketing
  • Joint Risk Control
  • Precision Targeting
Data Element Circulation
  • Government Data Openness
  • Illegal Construction Monitoring
  • Social Security Leakage Alert

Customer success case

AISWare AI² FL aids a car company in precision marketing for trade-ins and repurchase

A car company, relying on AISWare AI² FL, utilizes its proprietary data along with operator's big data. Based on data standards and requirements, both parties select relevant characteristics of customers interested in trade-ins and repurchase. They output key tags and establish unilateral sub-models. Through the AISWare AI² FL platform, they collaboratively build models, including a model for assessing the intention to trade-in and repurchase, and a model for predicting the preferred models for such transactions, thereby enabling precise targeting of trade-in and repurchase opportunities.

  • 60% The intention rate for trade-in and repurchase customers has increased by
  • 20% and the AUC has improved by
AISWare AI² FL Enables Intelligent Recommendations in Healthcare

A medical institution, in collaboration with an operator, has established a federated learning model architecture through AISWare AI² FL without the need to extract data from the database. This has virtually integrated operator data with medical data. They have created a federated recommendation model for expert consultation and rapid diagnosis, achieving precise marketing. This addresses the issue of recommending the same content to all users and realizes the goal of 'personalized experiences for each user' upon logging into the App, known as the 'thousand-person thousand-face' approach.

  • 10% Click-through Rate (CTR) increased by
  • 50% Conversion Rate increased by
  • 10% Cumulative Precision Rate improved by
AISWare AI² FL Empowers Bank Loan Marketing

As data privacy regulations become increasingly stringent, data exchange between parties is restricted. Despite the fact that a certain operator has a vast array of user attribute and behavioral data—such as last month's spending, the number of calls made to 'XX Bank,' the number of contacts called, internet logs, historical searches, and app usage records—'XX Bank' struggles to access this information, leading to a phenomenon of data fragmentation. By relying on AISWare AI² FL, a bank and an operator, after connecting their respective datasets, use secure data alignment and vertical federated learning technology to perform vertical joint modeling on potential loan user models, all while meeting the requirements for data privacy and security.

  • 30% Precision Rate increased by
  • 10% Recall Rate increased by

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