AIFlow
  • Overview
    • Introduction
    • The Vision of AIFlow
    • Core Principles
  • Platform Structure
    • Layered Architecture
      • Consensus Layer
      • Data Layer
      • Service Layer
  • Development Roadmap
    • Phase 1: Infrastructure Platform Construction (Q3–Q4 2025)
    • Phase 2: Ecological Expansion (Q1–Q2 2026)
    • Phase 3: DAO Governance (Starting Q3 2026)
  • Getting Started With AIFlow
    • Creating a New AI Agent
    • Deploying Your AI Agent
  • Key Technology Innovations
  • Use Cases & Collaborations
    • Finance Sector
    • Gaming Sector
    • Future Expansion
  • Community and Support
    • Community Links
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On this page
  • Data Governance
  • IoT
  • Education
  • Metaverse
  1. Use Cases & Collaborations

Future Expansion

Data Governance

Collaboration with Federated Learning projects to develop distributed data governance agents that help enterprises train models with encrypted data while protecting privacy.

IoT

Partnerships with smart hardware vendors to deploy AIFlow agents for managing edge devices, such as optimizing logistics routes in supply chains.

Education

Cooperation with online education platforms to develop personalized learning agents that dynamically adjust course content based on student progress.

Metaverse

Expansion of NPC agents into virtual social and educational scenarios, serving as AI teaching assistants in virtual classrooms or providing customized recommendations in virtual stores.

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Last updated 1 month ago