AIX Protocol
WebsiteXTelegram
  • ⭐Welcome to the AIX Protocol
  • ⭐Why We Build This?
  • ⭐Goal & Vision
  • AI Virtual Machine (AVM)
    • About The Product
    • Key Features
    • Architecture
    • Use Cases
    • Future Development
  • Decentralized AI Marketplace
    • About The Product
    • USP & Use Cases
    • Stand Out Features
    • Benefits of the Product
    • Future Development
  • AI Model & AI Agent Hosting
    • About The Product
    • What the Product Can Offer
    • Benefits of the Product
    • Use Cases
    • Integration with AIX Ecosystem
    • Future Development
  • AI Node
    • About The Product
    • Offerings & Benefits
    • Quick Guideline
    • Main Features
  • AI Agents Launchpad
    • About The Product
    • Key Features
    • Workflow
  • AIX Analytics
    • The Automated AI Analysis Tool
    • Key Features
    • Workflow
    • Use Cases
    • Technical Components
  • AI Swarm System
    • About The Product
    • Key Features
    • Workflow
    • Use Cases
  • AI Publisher
    • About The Product
    • Main Features
  • DeFAI Supporter
    • About The Product
    • Core Components
    • Support Mechanisms
Powered by GitBook
On this page
  1. AIX Analytics

Workflow

1/ Data Input

  • Users upload data or connect external sources to AIX Analytics.

  • The system automatically validates and preprocesses the input.

2/ Model Selection and Execution

  • The tool selects appropriate AI models based on the data type and desired analysis.

  • Distributed processing nodes execute the models, returning results in real-time.

3/ Result Presentation

  • Insights are presented through intuitive dashboards and visualizations.

  • Users receive detailed reports with actionable recommendations.

4/ Continuous Learning

  • Feedback loops improve model performance over time.

  • New data continuously enhances analysis accuracy and relevance.

PreviousKey FeaturesNextUse Cases

Last updated 3 months ago