VOOZH about

URL: https://www.analyticsvidhya.com/blog/2022/05/web-3-0-tomorrows-websites/

⇱ Web 3.0: Tomorrow's Websites! - Analytics Vidhya


India's Most Futuristic AI Conference Is Back – Bigger, Sharper, Bolder

  • d
  • :
  • h
  • :
  • m
  • :
  • s

Reading list

Web 3.0: Tomorrow’s Websites!

Nithyashree Last Updated : 03 Jun, 2022
6 min read

This article was published as a part of the Data Science Blogathon.

Introduction on Web 3.0

Have you ever noticed the advertisements for similar shows you watched on Amazon prime Video while reading a completely irrelevant article on a totally different website? Also, have you experienced coming across the same book or the same kind of books you purchased on Amazon? How does the Internet know what you need?

This has been feasible due to Web 2.0, the current era of web technologies in which we are living now. In this article, I will discuss the evolution of web technologies, what Web 3.0 is, why is it necessary, the four principles it abides by, and conclusively, a few apps which have already incorporated Web 3.0.

The Evolution of Web 3.0

Ever since web technologies came into existence, we, the users, have survived two eras to date. The third era is the future of web technologies! Let’s now begin the time travel by learning about each of these eras in detail.

Web 1.0

Source

This was the first era of web technologies. It was the first time websites practically came into existence! The era lasted from 1994 to 2004.

In Web 1.0, most websites were used to talk about their companies or businesses to the entire globe. They were read-only websites developed and deployed by developers on the world wide web (WWW). The visitors of the sites could only read the content displayed and know about a company or business. Hence, most websites were static or, in other words, stagnant, lacking user interaction.

Consider the figure above. It is a snapshot of a static website, displaying some details about a professor, John Kleinberg. This is what websites looked like, back in the 90s!

This drawback triggered the rise of dynamic websites in the next era.

Web 2.0

Source

Web 2.0 is the current era of web technologies. It has been there from 2004 till today. Most of the web applications we visit today belong to this era. The milestone of Web 2.0 was the emergence of dynamic websites such as Instagram, YouTube, Github, Analytics Vidhya, and more! Consider Analytics Vidhya where you can not only read articles but also comment on them, write your own articles, and register for a blogathon or Data Science jobathons by filling in your details.

Another example of a dynamic website includes Github where a user can create a new account, create a new repository in their account, upload code files, commit, follow other developers and the list goes on. Look at the screenshot of the Login page to Github above. A user can enter their username and password and log in to their account easily! Observe how interactive they are, thereby overcoming the limitations of the websites of the previous era. This couldn’t have been feasible without the advancement of web technologies.

Apart from its dynamic nature, Web 2.0 also has other pros. Recall the bizarre experiences discussed at the beginning of the article. It’s not magic! They are again possible due to the power of Web 2.0! It’s based on our clicks and the cookies we ought to accept on most websites visited by us that such tailored ads are recommended by the giants such as YouTube and Google. These giants have centralized servers in which our personal information is saved and used to sell products.

Don’t worry! It’s not a case of a data breach! The personal information collected is what we provide while creating a new account on a social media platform such as Instagram. It is based on this information that products we are likely to be interested in are recommended so that we can buy them conveniently.

Interestingly, most of these platforms are free. For instance, you can watch an unlimited number of videos on YouTube on a wide range of topics including education, dramas, motivational videos, songs, and movie trailers-to mention a few. So, when we use such services, our personal information is obtained and stored to improve the user experience.

But, Web 2.0 isn’t the end! The current websites have their own limitations. For instance, do you know how your data is getting used?

Web 3.0

It is believed that Web 3.0 is the future of web technologies! The four underlying principles of Web 3.0 include:

  • Decentralized network
  • Trustful and permissionless
  • Artificial Intelligence and Machine Learning
  • Connectivity and ubiquity

Let’s discuss each of them in the subsequent section.

Principles of Web 3.0

1. Decentralized network

It is a peer-to-peer network unlike Web 1.0 which is a simple client-server network.

Moreover, unlike Web 2.0, all the data won’t be stored in one particular central network. Instead, it will be distributed to the entire decentralized network. In the above illustration, nodes refer to individuals or organizations or anyone who saved their information on their personal devices. Above all, this personal data can be used only if you grant them permission. Thus, Web 3.0 helps in terms of privacy as we will know how our data is being used. Presently, we click on ‘Accept Cookies’ after which we are unaware of what data are taken and how they are used! Isn’t it creepy?

2. Trustful and permission less

Participants on the web can interact directly without seeking permission from a governing body. For instance, if A sells T-shirts and B wants to buy them, B can buy through direct interaction with A without involving a bank or any other intermediary. Besides, you can access whatever data you want even without getting a third party’s permission.

You no longer need to accept cookies when you visit a page! This is a trustful bond between the user and the web.

3. Artificial Intelligence and Machine Learning

With Natural Language Processing(NLP), semantic webs can understand information just like how we, the humans do.

Consider the figure above. Both the statements mean the same although their syntaxes vary. The computer can figure out this due to the advent of NLP. This ability enables easy browsing on the Internet. Users too will get to see more relevant content matching their tastes.

4. Connectivity and Ubiquity

The emergence of IoT(Internet Of Things) will succeed in improving the accessibility and availability of the Internet. You don’t need to always roam with your smartphones or PCs for Internet connection as is the situation in Web 2.0. The WWW will be made available to anyone, anytime and anywhere!

Conclusion on Web 3.0

Therefore, due to the shortcomings of Web 2.0, the tech giants are planning to transform their websites from Web 2.0 to Web 3.0. Siri and Wolfram Alpha are two excellent examples of applications already using Web 3.0!

Siri is a popular voice assistant in Apple’s iOS,iPadOS,watchOS,macOS,tvOS and audioOS operating systems.It supports around 17 natural languages including English, German, Hindi, Telugu, and so on. Further, it supports six different English accents which include American, Indian, Irish, British, Australian, and South African. It is mainly used to automate tasks and provide information. The more a user uses Siri, the more it becomes familiar with their tendencies.

Google’s competitor, Wolfram Alpha answers certain questions by referring to its built-in knowledge base and algorithms. The app can provide mathematical solutions to any given mathematical formula. It is a computational knowledge and answer engine developed by Wolfram Research.

Summing up, in this article, we discussed the following:

  • How have web technologies evolved from Web 1.0 to Web 2.0 and now to Web 3.0?
  • The principles of Web 3.0
  • Apps using Web 3.0

The media shown in this article is not owned by Analytics Vidhya and is used at the Author’s discretion.

I am Nithyashree V, a final year BTech Computer Science and Engineering student at Dayananda Sagar University,Bangalore. I love learning technologies and putting them into practice, especially to observe how they help us solve society’s challenging problems. My areas of interest include Artificial Intelligence, Data Science, and Natural Language Processing.

Login to continue reading and enjoy expert-curated content.

Free Courses

Generative AI - A Way of Life

Explore Generative AI for beginners: create text and images, use top AI tools, learn practical skills, and ethics.

Getting Started with Large Language Models

Master Large Language Models (LLMs) with this course, offering clear guidance in NLP and model training made simple.

Building LLM Applications using Prompt Engineering

This free course guides you on building LLM apps, mastering prompt engineering, and developing chatbots with enterprise data.

Improving Real World RAG Systems: Key Challenges & Practical Solutions

Explore practical solutions, advanced retrieval strategies, and agentic RAG systems to improve context, relevance, and accuracy in AI-driven applications.

Microsoft Excel: Formulas & Functions

Master MS Excel for data analysis with key formulas, functions, and LookUp tools in this comprehensive course.

Responses From Readers

Flagship Programs

GenAI Pinnacle Program| GenAI Pinnacle Plus Program| AI/ML BlackBelt Program| Agentic AI Pioneer Program

Free Courses

Generative AI| DeepSeek| OpenAI Agent SDK| LLM Applications using Prompt Engineering| DeepSeek from Scratch| Stability.AI| SSM & MAMBA| RAG Systems using LlamaIndex| Building LLMs for Code| Python| Microsoft Excel| Machine Learning| Deep Learning| Mastering Multimodal RAG| Introduction to Transformer Model| Bagging & Boosting| Loan Prediction| Time Series Forecasting| Tableau| Business Analytics| Vibe Coding in Windsurf| Model Deployment using FastAPI| Building Data Analyst AI Agent| Getting started with OpenAI o3-mini| Introduction to Transformers and Attention Mechanisms

Popular Categories

AI Agents| Generative AI| Prompt Engineering| Generative AI Application| News| Technical Guides| AI Tools| Interview Preparation| Research Papers| Success Stories| Quiz| Use Cases| Listicles

Generative AI Tools and Techniques

GANs| VAEs| Transformers| StyleGAN| Pix2Pix| Autoencoders| GPT| BERT| Word2Vec| LSTM| Attention Mechanisms| Diffusion Models| LLMs| SLMs| Encoder Decoder Models| Prompt Engineering| LangChain| LlamaIndex| RAG| Fine-tuning| LangChain AI Agent| Multimodal Models| RNNs| DCGAN| ProGAN| Text-to-Image Models| DDPM| Document Question Answering| Imagen| T5 (Text-to-Text Transfer Transformer)| Seq2seq Models| WaveNet| Attention Is All You Need (Transformer Architecture) | WindSurf| Cursor

Popular GenAI Models

Llama 4| Llama 3.1| GPT 4.5| GPT 4.1| GPT 4o| o3-mini| Sora| DeepSeek R1| DeepSeek V3| Janus Pro| Veo 2| Gemini 2.5 Pro| Gemini 2.0| Gemma 3| Claude Sonnet 3.7| Claude 3.5 Sonnet| Phi 4| Phi 3.5| Mistral Small 3.1| Mistral NeMo| Mistral-7b| Bedrock| Vertex AI| Qwen QwQ 32B| Qwen 2| Qwen 2.5 VL| Qwen Chat| Grok 3

AI Development Frameworks

n8n| LangChain| Agent SDK| A2A by Google| SmolAgents| LangGraph| CrewAI| Agno| LangFlow| AutoGen| LlamaIndex| Swarm| AutoGPT

Data Science Tools and Techniques

Python| R| SQL| Jupyter Notebooks| TensorFlow| Scikit-learn| PyTorch| Tableau| Apache Spark| Matplotlib| Seaborn| Pandas| Hadoop| Docker| Git| Keras| Apache Kafka| AWS| NLP| Random Forest| Computer Vision| Data Visualization| Data Exploration| Big Data| Common Machine Learning Algorithms| Machine Learning| Google Data Science Agent
👁 Av Logo White

Continue your learning for FREE

Forgot your password?
👁 Av Logo White

Enter OTP sent to

Edit

Wrong OTP.

Enter the OTP

Resend OTP

Resend OTP in 45s

👁 Popup Banner
👁 AI Popup Banner