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Role of AI in Web 3.0 | Features and its Use Cases

Navdeep Singh Gill | 16 September 2022

What is Web 3.0?

It is also known as the 3rd Generation Internet, is the next evolution of the World Wide Web. It delivers a data-driven semantic web that leverages machine-based data understanding to develop smarter, more connected web experiences for users.

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What are the key features?

  • Internet searches provide personalized results for each user

Its search engines use advanced Artificial Intelligence to provide personalized results tailored to users' needs and preferences.

  • Better ads with more intelligent AI

It ensures only to see ads relevant to interests and needs. Smarter AI systems target specific audiences based on past interactions and consumer data. These system filters out irrelevant, and unwanted ads and only show ads tailored to you.

  • Digital Asset Ownership

It will provide users with a unique identity that allows them to access and control all their digital assets, data, and services without logging in or seeking permission from specific service providers.

  • No central authority approval is required

It has no central control node. Therefore, users can post anything on the Internet without the permission of any central authority. This allows users to post freely without worrying about censorship or surveillance.

How to bring Semantics to the Semantic Web?

It envisages a digital domain in which machines can communicate directly with other machines and users. However, a prerequisite to this is that machines understand digital content in the first place. As such, artificial intelligence will become the cognitive layer of Web 3.0, providing deep learning algorithms and analytics that enable machines to "understand" online content.

One of the fascinating subfields of linguistics and artificial intelligence, natural language processing (NLP), is also playing an essential role in the semantic web by enabling Artificial Intelligence algorithms to analyze online communication and understand it step by step. Play a role.

Essentially, deep learning algorithms train artificial intelligence to recognize different types of content and assign meaning to them. In this way, search engines can not only recommend the most popular types of content but also gain a basic understanding to improve the overall user experience.

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How will AI redefine the User Experience?

  • AI will generate more personalized recommendations

Implementing artificial intelligence and blockchain technology is redefining the web experience with structural changes to ensure the democratization of all aspects of the internet.

By combining semantic capabilities with natural language processing, computers can understand information on a human-like level and deliver faster, more relevant results. As a result, they are more intelligent and better able to meet the needs of their users.

Artificial intelligence algorithms could be at the heart of Web 3.0 recommendation engines thanks to their ability to analyze large amounts of user data and build predictive models on an individual level. AI-based recommendation engines can truly "understand user preferences and provide more personalized recommendations for better navigation and user experience.

  • Smarter dApps and Intelligent NFTs

It introduces innovative decentralized applications (dApps) with excellent real-world utility as blockchain developers integrate Artificial Intelligence and machine learning algorithms. As its algorithms evolve, the next generation of dApps and NFTs will likely benefit from their effects as decentralized applications acquire better data management and analysis capabilities. The next generation of NFTs will likely benefit from humans. It will show similar behavior.

  • More Relevant Advertising

Firstly Internet users voluntarily give away data to profitable third parties without understanding the true value of the data. Secondly, these companies' intrusive data mining practices have raised privacy concerns among Internet users.

By applying Artificial Intelligence algorithms, advertising companies can analyze large amounts of data and consider more factors when personalizing user advertisements. As a result, its users receive more relevant ads, and AI algorithms continuously adapt to each individual's preferences.

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Use Cases of Web 3.0 are listed below:

Smart IOT devices can help to expand businesses

Integrating Web 3.0 with Intelligent Internet of Things (IOT) devices can improve device performance and provide better functionality; applying it to mainstream technology can prepare enterprises to manage risks more efficiently and be open to growth and scale-up.

AI-based Chatbots and interoperability for clients and customers

AI-based chatbots provided by the appliance of it can help transform and streamline business transactions and interactions throughout. In addition, the interoperability offered can assist customers in accessing their confidential data through multiple applications and devices.

Customer-centric experiences for the world tech market

The Personalization and localization offered through mixing Web 3.0 can help attract and retain improved customer engagement within the global tech market. It has the potential to drive this market through client-centered experiences.

Blockchain technology for relieving technical hassles and high security

The huge task of moving and transferring digital assets across company boundaries becomes sorted and profitable with the blockchain. Web 3.0 ensures companies have better connection experiences with the security assured against cyberattacks.

Future of Web 3.0 with AI

Web 3.0 relies heavily on artificial intelligence technologies like Big Data, data analysis, machine learning, and deep learning. Apps and sites have gotten more brilliant at knowing users' moods, emotions, and expressions. With the Semantic Web and linguistic communication processing-based technologies, It will enable machines to grasp information similarly to humans.

It will also use machine learning, a subset of Artificial Intelligence, mimics human learning using data and algorithms, progressively improving its precision rather than just targeted advertising, which makes up the bulk of current efforts. These capabilities will lead to faster and more relevant outcomes in medical development and new materials.

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Web 3.0 is based on creating a fully decentralized ecosystem through the power of modern technologies such as machine learning, and blockchain to solve the problems of modern online ecosystems. Artificial intelligence, on the other hand, is intelligent machines programmed to think and perform activities like humans, making life experiences more accessible and sophisticated. Artificial intelligence refers to self-learning programs that can learn and evolve independently.