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

AI in the company

AI technology is improving the performance and productivity of businesses by automating processes or tasks that previously required human power. AI can also make sense of data at a scale that no human ever could. This ability can return substantial business benefits. For example, Netflix uses machine learning to provide a level of personalization that helped the company increase its customer base by more than 25% in 2017.

Most companies have made data science a priority and are making major investments. In Gartner's recent survey of more than 3,000 CIOs, respondents ranked business intelligence and advanced analytics as the top technology differentiator for their companies. The CIOs surveyed see these technologies as the most strategic for their companies; therefore, they are attracting the most new investments.

AI has value for almost every function, business, and industry. It includes general and industry-specific applications such as:

  • Using demographic and transactional data to predict how much certain customers will spend over the course of their relationship with a company (or the lifetime value of the customer)

  • Optimizing pricing based on customer behavior and preferences

  • Using image recognition to analyze X-ray images for signs of cancer

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Last updated 2 years ago

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