IoT Ecosystem’s Next Big Thing – Web 3.0

Web 3.0 is an upcoming change in the entire browsing facility. Exploring the web is a major thing for every educated individual these days. For the students, researchers, working employees, and other subject matter experts.

We all use the internet to get knowledge and work on projects based on the search results shown by the search engines. There are also times when the search engines recommend the relevant content based on the interest and this will be targeted to the person who is interested in searching with similar keywords.

Exploration of the web is predominant since the inception of Web 1.0 and has changed based on the user input data.

Web 2.0 has come up with more advanced features.

Now the ecosystem in the World Wide Web is most innovative and engaging. It is currently working on Web 2.0.

What is the Noticeable Change?

Web 1.0 is like a basic template which is a single-page data, and it is read-only data that is not engaging, clumsy, and without any innovative graphics.

It is a standard template like a simple Wikipedia page and has poor interaction with visitors.

Whereas Web 2.0 is a much-needed updated version of the previous version.

With the introduction of 2.0, the user interface of the websites has changed entirely and what we are using currently is on this interface.

Industries and organizations have to come up with a clear understanding of this web 2.0.

Designing of websites and pages based on JavaScript, Html and CSS has come into more demand, with the competition among the huge businesses, the need for a complete change was inevitable.

Because of this change, we are now able to see websites designed beautifully with various coding across multiple languages.

Change is noticeable here when we compare the pages on the internet with the oldest version of the web interface.

With the usage of Web 2.0, the users have come up with various bugs and issues and in terms of security-wise, some things were not able to resolve and the user has to forcibly accept that terms and conditions.

This is also awkward to us as we have also experienced a similar thing while operating our mobile devices or personal computers.

Whenever we visit a website, there will be a policy of accepting the cookies and also few sites require our location details to be accessed.

If we are not comfortable accepting it again the issues will arise, there may be chances of we getting kicked out of that website and we are not provided with the data which we are fetching for on it and then in some cases, there will be chances of not storing the data on the site and which require a login every time we try to access the site for any information.

Web 3.0 Improves Data Security:

Every online user is concerned about the data while surfing online, most of the users will switch to incognito mode while trying to stay safe from malicious worms and bugs.

But, this isn’t the permanent solution too, there are many chances of data-stealing due to the cookie policy and user data agreements.

With these kinds of problems still existing in the digital space, users have to keep on worrying about data security.

The search queries made on the search engines will share the data with third-party organizations for better search result outcomes.

In this process, the relevant information in the form of advertisements will be shown to the same user on the IP address which he has searched for the information.

This makes the user panic about how his/her thoughts or search queries are going to be tracked by advertising agencies from different businesses.

With the evolution of Web 3.0, this third-party data sharing is restricted and hence the user will have full control over his online search queries and personal information privacy.

If we consider this particular data-stealing as a threat to the user data, this gap can be filled with Web 3.0 since it is going to be the most secure one when compared to the previous two.

Benefits of Web 3.0:

Any innovative technology which has been introduced in the digital space has its benefits as well as a few drawbacks.

Likewise, Web 3.0 has its benefits and drawbacks, let us look at the benefits first since we are going to meet the interface soon.

The user will get accurate results based on the input of the query, Web 2.0 has already achieved a level where the users need no to be perfect while searching for any answer. So we can hope for the best with 3.0 as there will be much better changes we can expect from the newest interface.

The third generation of internet services is going to be working based on blockchain technology, decentralization, Artificial Intelligence, and Machine Learning.

The semantic web concentrates on the exact meaning of the data and thereby the results will be much more accurate related to the search queries.

Graphics are going to meet the next level with 3D – the interaction with these graphics can create a better engagement with the visitors.

There will be no authorities or government organizations will be involved while requesting particular information to increase knowledge. This enhances the overall learning and research process.

The interaction between the user and the content in Web3 is going to be incredible. A user can interact with the content in real-time with the help of AI and can make a conversation just like humans. This is what we call digital perfection.

Limitations of Web3:

We have discussed the benefits and here are the limitations or disadvantages of Web 3.0. Blockchain technology and advanced AI cannot be run easily on lower-end devices. To execute these programs on a high level, the user has to switch to devices with powerful features which can be able to handle the speed of the web3.

A user has to be aware of the usage of the Internet, for beginners, it will be much more difficult to learn from scratch to be habituated to the interface.

Whatever you share the information online, that is vulnerable to getting exposed to the public and anyone with an internet connection can get access to the same data.

Websites will need to upgrade as per the Web3 modules to stay in the competition and this will increase the investment in the maintenance of the websites.


Based on the user experience and the data research that needs to be done from the user’s perspective, Web 3.0 is going to change the way how we browse for information. With its benefits and limitations slowly there will be the implementation of the latest technology globally and that is going to impact the data fetch in a much better way.

Share your valuable thoughts on Web3 in the comments section below so we can engage constructively.

For more interesting updates related to the technology and other knowledgeable resources, visit our blog.

What is Conversational AI and How it Work?

AI and Conversational AI

Before learning about conversational AI terminology let us see what is AI stands for? AI means artificial intelligence is the ability of a computer to perform all the tasks which require human intelligence for execution. Conversational AI is the latest software that helps in chatting humans and computers and makes them work together designed in such a way that is more accurate in prediction for complex and predefined processes.

• Conversational AI helps in making the users understand the results better by taking advanced actions in fewer steps thus resolving complex processes in simple steps.
• Conversational AI learns the complex processes via patterns used in the previous Conversation with every individual
• Conversational AI uses the existing data of the customers store dinner databases and retrieves the data whenever required
• Integrates business operation tools and results in complex processes like human decision-making.

Types of conversational AI

Conversational AI gets connected with humans in two ways: human-to-machine interaction and human-to-human interactions.

• Conversational AI personal assistants: They answer the general queries asked by the individual using smartphones, android phones, and IP Phone.
• Conversational AI delivering customer service: These AI’s help business in handling customer queries through apps, or websites without human interaction.
• Conversational AI used for internal interactions: AI’s are used for arranging internal meetings in the organizations depending upon the scheduled calendar.

How it works?

Conversation AI is the quickest and reliable software acting using AI assistant tools used for retrieving the previous data or chats stored and implemented for further required actions increasing the efficiency of the processes compared to human actions.

• Conversational AI performs automation over the processes end to end resulting in consistent and reliable results.
• Conversational AI gets the result in a few steps compared to the human intervention results.
• Implements self-learning tools integrated with the software already.
• Provides service at any time, works 24*7.
• Delivers streamlined service.
• Saves operational costs

Components of conversational AI

• Inputs: It is the data provided by the customers using the AI bot for interaction using different formats:
• Direct input is given where interaction happens by texting the messages.
• Voice input is given by speaking out that is less secure
ASU stands for automated speech recognition used to listen to voice queries
• NLP means natural language processing used for dividing the voice inputs into shapes and sentences so that AI easily understands and cracks the puzzle.
• NLG stands for natural language generation manages and operates on the databases like CRMs for quick responses.
• TTS is the acronym for text to the speech where machine-generated voice will be delivered as a response to the customer queries.

Where can be implemented?

Any business is said to be successful when they concentrate majorly on factors like delivering customer service, marketing, advertising, and management. These three factors can implement conversational AI to be more effective and efficient in their services.

• Customer service implementing conversational AI helps in resolving customer issues such as password resetting, tracking, and monitoring the business products and other issues by retrieving the data from the previous calls.
• Conversational AI is used for marketing purposes that mainly focus on generating the leads, converting the leads, understanding the customer needs to be stored in databases securely.
• Conversational AI implemented in administration and management used for the internal meeting setup, language translations, generating transcripts regarding the internal meetings, and other tasks that need to be managed through the calls.
• In business process management, conversational AI is implemented for analyzing, optimizing, and iterating the processes.
• Used for integrating end-to-end operations in processes.

What does conversational AI include?

Conversational AI software success is contributed by major technologies like:

• AI means artificial intelligence technologies make understand the interactions on a deep level.
• Integrations or APIs are used for integrating the existing data applications with the customer interactions and performing end-to-end actions.
• NLU stands for natural language understanding is implemented for learning new responses by browsing synonyms and applying the pre-defined rules for resolving the queries in a faster way possible.
• Machine learning
• Deep learning

Digital transformation and upgrading the software in the business processes like integrating conversational AI find useful in lowering the operational and labor costs regardless of the field implementing and executing the advanced technologies.