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Ocean Protocol Monetize AI models & data while preserving privacy

What is Ocean Protocol?

Ocean Protocol provides a suite of tools built on decentralized technology designed to unlock the value of data for Artificial Intelligence while maintaining user privacy and control. It facilitates the monetization of AI models and datasets through innovative mechanisms like Data NFTs and Datatokens, allowing creators to protect their intellectual property and manage access securely.

The platform features Ocean Nodes for enhancing AI capabilities and efficiently utilizing computational resources for model development, training, and monetization on both GPU and CPU setups. A core component is Compute-to-Data, which enables running computations, including machine learning algorithms, directly on data without moving it from its secure location. This approach opens up new possibilities for leveraging sensitive data in AI applications without compromising privacy, alongside features for creating AI-powered prediction bots and participating in data science challenges.

Features

  • Ocean Nodes: Enhance AI capabilities and computational resources for secure model development, training, and monetization.
  • Data NFTs: Protect intellectual property with enhanced ERC721 tokens for tailored access to data and digital assets.
  • Datatokens: Generate ERC20 token-based permissions to safeguard Data NFTs and control information access.
  • Compute-to-Data: Run machine learning and AI computations remotely on data without relocating assets, preserving privacy.
  • Predictoor: Platform to run AI-powered prediction bots or trading bots on crypto price feeds.
  • Ocean Foam: Participate in data challenges using data science skills to earn rewards.
  • Decentralized Architecture: Built with a focus on privacy, security, and decentralization.

Use Cases

  • Securely monetizing proprietary datasets.
  • Training AI models on sensitive data without exposure.
  • Developing AI-driven prediction market applications.
  • Building decentralized data marketplaces.
  • Protecting intellectual property for data and AI models.
  • Participating in data science competitions.
  • Running automated trading bots based on crypto predictions.

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