Tagger Documentation
  • About Tagger
    • 🛸 Our Vision
    • 🔌 What We Do
  • Challenges in the Current Data Economy
    • 🌏 Chaotic Data Authentication
    • 📂 Difficulty in Data Acquisition
    • 📌 Quality of Labeled Data
    • 🪝 Data Silos
    • 🛡️ Privacy and Ethical Issues
    • 🧳 The Need for Continuous Maintenance
  • Our Solutions
    • 📃 Data Authentication Protocol
    • 🌲 A Full-Stack Decentralized AI Data Solutions Platform
      • Web 3 Crowdsourcing
      • Simple Onboarding, Instant Global Payments
      • DePIN-Based Data Collection and Sharing
      • AI Copilot Labeling Tool
      • Permissionless AI Marketplace
      • Data Developer Community
      • Human-In-The-Loop
  • Tagger Features
    • Data Authentication Protocol
    • Decentralized AI Data Collection
    • Decentralized AI Data Labeling
    • Data Evaluation, Cleaning, and Processing
    • Data Trading and Management
    • HITL Telegram Mini App
  • Hardware
    • ⌚ Health Monitoring Wristband
  • Tokenomics
    • ☑️ $TAG
    • 🪙 Token Distribution
    • 💡 Task Reward Calculation
      • AI Copilot Labeling
      • Manual Labeling
      • Data Review and Staking
      • 👥 Daily Task Bonus
  • Smart Contract and Audit
    • 📄 Audits
    • 🖼️ NFT Smart Contract
    • 🪙 Token Smart Contract
  • Roadmap
  • Team
  • Contact Us
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  1. Challenges in the Current Data Economy

🪝 Data Silos

Data silos refer to the isolated storage and management of data, which restricts the free flow and sharing of information. The root cause of this problem is the inconsistency in data authentication, which raises concerns over the legality and privacy of data, while failing to provide adequate incentives for sharing. This not only hampers decision-making by limiting access to comprehensive datasets, but also stalls AI innovation by creating barriers to the flow of information, all while heightening security and compliance risks.

To break down data silos, a unified data authentication standard is essential. This requires cross-regional and cross-organizational collaboration, supported by compatible technological solutions and advanced data management practices. However, such a system cannot be built within the constraints of a Web 2 environment.

Previous📌 Quality of Labeled DataNext🛡️ Privacy and Ethical Issues

Last updated 9 months ago