Artificial intelligence has taken every sector by storm. It's usually shown in the futuristic network based on blockchain technology. Its impact is so strong that even Web3 couldn't resist employing it. However, the role of AI in web 3 is still in its infancy.

The main reason for using AI is the phenomenal machine learning that rewrites any software. Advanced intelligence works based on cutting-edge applications. So, the fusion of metaverse technology with AI has the potential to have positive effects on the scientific trajectory.

Here's a quick overview of Web3 and AI before we move on.

What is Web 3?

Many changes have occurred since the birth of the Internet. The rise of the semantic web is the talk of the city. It has led to widespread benefits for users around the world.

In the case of the semantic web, user data is analysed, and human behaviour is examined at each stage. All this to provide a top-notch web browsing experience. This is much more applicable to marketing products and activities related to promotions and advertising.

It also means that Web 3.0 gives users a more intuitive web experience. The amazing feature is that instead of typing or giving commands to search engines, one can use direct voice commands to search any search query. It happens most organically.

The strength of web 3.0 is that it offers users a more personalised browsing experience. Let's learn this with a simple example. Suppose we need to book a movie ticket to watch a movie. Then, by giving a command on the search engine, you can find the local cinemas that choose to show the film on screens the same or the next day. The process is so fast that the results are shown to the user in a split second without delay.

Another great use of web 3.0 is that users are presented with various offers related to the desired things that the user wants. You can only imagine how browsers discover user preferences. It all depends on the position and adjustments that a person sets.

Web 3 & AI

Web3 is a new generation of the internet that utilizes blockchain technology and decentralized networks to create more open and secure platforms. As Web3 continues to evolve, there is a growing interest in how artificial intelligence (AI) can be used to enhance its capabilities. AI has the potential to play a significant role in Web3, powering decision-making in decentralized autonomous organizations (DAOs), improving the functionality of smart contracts and decentralized applications (dApps), managing identity, and analyzing data. 

Now let’s explore more about the various ways in which AI can contribute to the development and growth of Web3.

What Role does AI play in Web3?

Web 3.0, also known as the decentralized web, refers to a future version of the internet that is more open, transparent, and decentralized. 

AI can play a significant role in the development and functioning of Web 3.0 in several ways, including:

• Decentralized Autonomous Organizations (DAOs):

• Smart Contracts:

• Privacy and Security:

• Personalization:

• Data Management:

Overall, AI has the potential to play a significant role in the development and functioning of Web 3.0, helping to create a more decentralized, secure, and personalized internet.

Future of Metaverse or Web3

You can do a better search using Web 3.0 by asking your question in your native language. The search engine responds very well to the instructions. Professionals who correspond to users are generally far-fetched for them. The business approach is kept very authentic according to the website SEO.

There are richer experiences in the application, which makes it versatile. This can be understood by taking the example of Google Maps. You can easily enter the location details, which provide the simplest map routes to your desired destination. The user obtains all information relating to recommendations on nearby hotels.

The Architecture Of Metaverse Or Web3

There are three main parts of the metaverse architecture.

• The front end
• Provider
• Blockchain Network or Framework

How Does The Front End Work?

The front end mainly consists of JavaScript, CSS and HTML. The provider includes Metamask, Infura, and Alchemy. The blockchain also includes smart contracts on EVM (Ethereum Virtual Machine).

Regarding DApps, Smart Contract Communication is the main front-end architecture (decentralised programs). Moreover, it differs from the typical front-end-back-end connection. If you want to connect to the smart contract, you must communicate with one of the nodes in the blockchain network. This node can be one of the following:

• Services from third parties, such as Infura, Alchemy, and Quicknode
• can create a node itself by directly controlling the state machine;

The most useful thing about incorporating AI into the Metaverse is running this wonderful machine learning in the front end.

Power is measured flawlessly on certain factors. The most voted are listed below;

Metaverse Application Architecture

Here you can write smart contracts that define the logic of your applications and implement it on the decentralised state machine [ex. The Ethereum blockchain] ". Traditional web servers and databases are no longer needed in this paradigm because everything is done on or around the blockchain.

Several factors need to be updated in the smart contract. Therefore, choosing the front end over implementing a smart contract is feasible.

In the front-end case, all information is stored in the browser. This translates into maintaining safety at all levels. Once again, talking about smart contracts publicly displays information crucial to maintain transparency. Smart contracts are open, which is the main privacy issue.

The Speed

The speed is the same for the front end and smart contracts. It would be unfair to make a comparison in any way. The only thing that can be said about this scenario is that the front end demands more data than the blockchain. The only negative thing about it is the constant memory consumption and the negative impact on browser performance.

Smart Blockchains

Blockchain focuses on creating computer components for the decentralised operation of financial transactions. Such components include oracles, consensus mechanisms, node applications, virtual machines and distributed ledgers.

Traditional software infrastructure components such as storage and networking are rapidly being adopted. The future generation of core and companion blockchains incorporates machine learning capabilities. Transaction prediction enables an extensible consensus protocol.

Smart dApps

Apps are the most widely used Web3 solutions that add machine learning properties. This change is most commonly seen in NFTs. We see the transformation of futuristic NFTs from stable images to artefacts showing intuitive behaviour. What is amazing is that the public's mood can change the behaviour of NFTs.

AI and Metaverse Applications In Different Domains

• Image recognition for visually impaired people
• Speech recognition to convert user speech into text and natural language processing to understand user intent.
• Automatic translation
• Smart exoskeletons to interact with the digital world
• Brain-computer interfaces for the most vulnerable
• Computer vision to generate lifelike user images
• Natural language processing to create realistic dialogues for avatars
• Virtual reality to create realistic avatar environments

E-Commerce And Retail

The combination of artificial intelligence and web 3.0 easily extracts information from the audience. This provides accurate information about the intended audience using the collected data. There is a good overview of people's likes and dislikes to get a better understanding. All of these things together positively impact the dominance of retail and e-commerce.

Customer Loyalty

The extraordinary development of artificial intelligence and web3 helps to complete customer engagement in the current market sector. The most important thing in the database of these technologies is the data. This data is designed to know exactly what the customer wants. This is a great way to build customer loyalty, ultimately improving market conditions.

Improved Marketing Strategy

The fusion of these technologies has helped many companies improve their marketing strategy. This has opened up various opportunities to build a strong connection with the target audience or customers. Different personalisation platforms can create an object field based on people's interests. As a result, all information is displayed to people who highlight the most important and relevant content. All thanks to the optimised search experience.

Final Thoughts

The use of advanced technologies has been enormous in recent years. It has changed all industries by showing excellent frameworks and application programming interfaces. The advancement of Web 3.0-related research has attached itself to exclusive capabilities. The demand for efficient AI Services is increasing daily and will continue. Both AI and Web3 are upcoming technologies that have the potential to shape the future of the tech industry.