Web 3.0 is all about personalization
Web 3.0 is an upgraded version of Web 2.0 and is characterized by creating a virtual world within the Internet through websites such as online virtual shopping malls, which allows users to interact with each other and buy products.
The metaverse and web3 are intricately intertwined. Although theoretically, web3 and the metaverse are reliant on one another, the technology overlap makes their relationship symbiotic. Wolfram Alpha and Apple's Siri are two examples of web 3.0 applications. Siri uses speech recognition techniques and artificial intelligence to search and deliver results.
Web 3.0 offers not only personalization but also the Semantic Web, which provides a framework for information to be reused and shared more easily among programs, communities, and companies.
The difference between Web 2.0 and 3.0 is that Web 3.0 is more focused on the use of technologies like machine learning and AI to provide relevant content for each user instead of just the content other end users have provided.
The Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better-enabling computers and people to work in cooperation.
An expert says, data collection—and abuse—is basically built into the core of how web 2.0 operates. Apps need money and they get it by monetizing your data. In web 2.0, you are the product.
More and more people are showing they care about data privacy and doing something about it. They’re leaving platforms like Facebook, getting smarter in their use of ad blockers and VPNs and turning to new models like Web3.
Going forward, Blockchain is going to become a helpful tool for advertising and marketing. Its decentralized ledger technology helps marketing and advertising teams better manage data, gain deeper insights into audience interactions with ad campaigns and cultivate meaningful customer relationships.
Technologists say, Web3 is the path to the future, but maybe it is only a rest stop on the way to a fully realized AI network that would constitute a true digital brain.
For advertisers, this presents a problem: Users want privacy, governments are regulating it and Big Techs are dragging their heels. As people leave these tech platforms, ad inventory goes down, ad prices go up and ROI on ad spend dips down-and-to-the-right. But Big Tech still boasts billions of users.
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