The Internet’s Evolution – Web 3.0

The growth of a more semantically intelligent web makes sense when looking at the history of the Internet. Users were first presented with data in a static format. The data might then be dynamically interacted with by users. Algorithms will now use all of that data to improve the user experience and make the Web more personalized and familiar.

While Web 3.0 is still being defined, it might make use of peer-to-peer (P2P) technologies such as blockchain, open-source software, virtual reality, the Internet of Things (IoT), and others.

Many apps are now confined to running on a single operating system. Web 3.0 could make apps more device-agnostic, allowing them to function on a wider range of hardware and software without incurring additional development expenditures.

Web 3.0 likewise aspires to free up and decentralize the Internet. Users must currently rely on network and cellular providers to monitor the information passing through their systems. With the introduction of distributed ledger technology, this may change in the near future, allowing consumers to reclaim control of their data.

What Distinguishes Web 3.0 from Its Predecessors?

There is no single point of control: Because middlemen are no longer involved, user data will no longer be under their control. This minimizes the likelihood of government or corporate censorship, as well as the effectiveness of Denial-of-Service (DoS) assaults.

Increased data interconnectivity—As more products connect to the Internet, greater data sets supply more information for computers to evaluate. This will allow them to deliver more accurate information that is tailored to the individual user’s demands.

More efficient browsing—Finding the best result when using search engines used to be rather difficult. They have, however, improved their ability to discover semantically relevant results based on search context and information over time. As a result, web browsing becomes more convenient, allowing everyone to get the specific information they require with relative ease.

Social tagging systems were also introduced as part of Web 2.0. However, they can be misused. Artificial intelligence can filter manipulated results using improved algorithms.

Improved marketing and advertising—No one enjoys being bombarded with web advertisements. However, if the advertisements are relevant to one’s interests and needs, they may be beneficial rather than annoying. By employing sharper AI algorithms and targeting specialized audiences based on consumer data, Web 3.0 intends to improve advertising.

Improved customer service—When it comes to websites and web apps, excellent customer service is essential for a pleasant user experience. However, many successful web firms are unable to scale their customer support operations as a result of the high expenses. Users can have a better experience engaging with support personnel by using intelligent chatbots that can talk to several consumers at the same time.

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