EYE AI
  • 🧿Eye AI - Explained
  • Overview
    • 🧿The beginning of a new age
    • 🧿Crypto robotics / Eye-AI
      • 🧿Functionality
    • 🧿Metaverse Eye-AI
      • 🧿AI powering the Metaverse
    • 🧿Trend Tracking
    • 🧿Point to ETH network
    • 🧿Introduction of the Eye- AI API
      • 🧿Making requests
      • 🧿Models
        • ▪️List models
      • 🧿Completions
        • ▪️Create completion
      • 🧿Edits
      • 🧿Images
        • ▪️Create image edit
        • ▪️Create image variation
      • 🧿Embeddings
      • 🧿File
        • ▪️Upload File
        • ▪️Delete File
        • ▪️Retrieve file
        • ▪️Retrieve file content
        • ▪️Fine-tunes
      • 🧿Moderations
      • 🧿Parameter details
    • 🧿Terms of Artificial Intelligence
    • 🧿AI and the developers
    • 🧿How AI can help organizations
    • 🧿AI in the company
      • 🧿What is driving AI adoption?
    • 🧿AI as a strategic must and competitive advantage
      • 🧿Best practices to get the most out of AI
    • 🧿Turnkey AI is making AI easier to operationalize
    • 🧿From artificial intelligence to adaptive intelligence
    • 🪙Token Eye AI
      • 🧿Taxes
      • 🧿Token Metrics
    • 🕵️‍♀️Security AI
    • 🛤️Roadmap
    • 🫂Social Media
    • 📊Fairlaunch ETH - Pinksale
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  1. Overview

🧿How AI can help organizations

The core principle of AI is to replicate, and then exceed, the way humans perceive and react to the world. It is fast becoming a mainstay of innovation. Powered by various forms of machine learning that recognize patterns in data to enable predictions, AI can add value to your business by:

  • Providing a more comprehensive understanding of the abundance of data available

  • Relying on predictions to automate overly complex or mundane tasks

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Last updated 2 years ago

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