What is the role of AI in Web 3.0?

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UGC-NET Dec 2024 Library Science ( 16 Jan 2025)
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  1. AI is used only for improving user interfaces.
  2. AI replaces the need for Blockchain in Web 3.0.
  3. AI helps in understanding and processing unstructured data to deliver more personalized experiences.
  4. AI is used only in search engine optimization.

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Option 3 : AI helps in understanding and processing unstructured data to deliver more personalized experiences.
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The correct answer is AI helps in understanding and processing unstructured data to deliver more personalized experiences.

Key Points

  • Artificial Intelligence (AI) plays a critical role in Web 3.0, the next generation of the internet.
  • AI is essential for understanding and processing unstructured data, such as text, images, and videos, which makes up the majority of the data on the internet.
  • By analyzing and interpreting this unstructured data, AI can deliver more personalized experiences to users, tailoring content and services to individual preferences.
  • AI technologies, such as machine learning and natural language processing (NLP), are used to enhance user interactions and improve decision-making processes.
  • In Web 3.0, AI can be integrated with other technologies like Blockchain to create more secure and transparent systems.
  • Examples of AI applications in Web 3.0 include chatbots, virtual assistants, and recommendation engines.

 Additional Information

  • AI is used only for improving user interfaces.
    • While AI can significantly enhance user interfaces by making them more intuitive and responsive, its role in Web 3.0 extends far beyond this aspect.
  • AI replaces the need for Blockchain in Web 3.0.
    • AI and Blockchain serve different purposes and are often used in conjunction to complement each other. Blockchain provides security and transparency, while AI offers insights and automation.
  • AI is used only in search engine optimization.
    • Search engine optimization (SEO) is just one of the many areas where AI is applied. Its applications in Web 3.0 span across various domains, including data analysis, personalization, security, and more.
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