Enterprise blockchain began to emerge in 2016 when companies like IBM started using private networks to manage their supply chain. Also during 2016, author Don Tapscott wrote and published Blockchain Revolution, a book looking at how blockchain will change a number of industries.

Following the release of The Blockchain Revolution, Tapscott, who is also a co-founder of the Blockchain Research Institute, published The Supply Chain Revolution in August 2020. Given the timing of the book’s release, Supply Chain Revolution detailed how the COVID-19 pandemic came to light. his vulnerabilities. across supply chains around the world, explaining how blockchain can be used to solve these problems.

Almost a year after the release of The Supply Chain Revolution, Tapscott released his latest book, The Platform Revolution. Unlike two of his other books, which explain what blockchain is and how it can be used to develop specific industries, Platform Revolution goes further, given that blockchain has reached “platform state”.

Specifically, Tapscott told Cointelegraph that blockchain has matured so much over the years that companies and industries are now creating new blockchain models as a “platform.” Additionally, Tapscott believes that blockchain has reached a triple convergence point, making it the largest technology in today’s digital age:

“On the second day of the digital era, many new technologies have emerged, including artificial intelligence, machine learning and the Internet of Things. But in the end, blockchain is the largest of these technologies, and it “outperforms” all of these other technologies.
Understand the variety of blockchain technology
In eight chapters on the platform revolution, Tapscott explains how companies, supply chains, and sectors of the economy are using blockchain as a platform for further progress.

To describe the diversity of blockchains with artificial intelligence, machine learning, and the Internet of Things, Platform Revolution Chapter 1 discusses how blockchain can secure the future of the digital age. In short, this chapter talks about digital conglomerates like Facebook (now Meta) and Google, and notes that these devices act as the owners of user data. “We create data, and these companies take it. After that, we have almost nothing left – we cannot monetize our data or protect it, because our privacy is undermined, ”said Tapscott.

To address this persistent dilemma, Chapter 1 explains how open access, fair sharing, and superior self-identity on the blockchain network can improve network access. Specifically, the chapter focuses on how blockchain can solve the problem of manipulation, promote fairness, protect creators’ rights, and more. While this may be the case, the first chapter describes why differences in blockchain, AI, and IoT will eventually lead to Web 3.0. It is described as a network in which billions of people, organizations and Decentralized Autonomous Organizations, or DAOs, can manipulate and analyze data to make better decisions.

The second chapter of the book examines the impact of blockchain on big data. Big data is here classified as a new asset class that could outperform all other assets, given the idea that digital conglomerates have kept user data privately for years. However, with cryptographic techniques such as those used in blockchain networks, new privacy and data ownership rights can be very well enforced.

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Chapter 3 is an important part of Platform Revolution, where Tapscott and co-author Anjan Vinod thoroughly explore the relationship between blockchain and AI. According to Tapscott and Vinod, artificial intelligence is making blockchain one of the largest technological revolutions in history. This chapter explains how blockchain can provide a decentralized infrastructure for the entire AI ecosystem. For example, it notes here that a blockchain-based decentralized solution could provide more democratic but secure ways to transfer the required data in an AI model.

Chapter 4 also focuses on blockchain and the IoT, noting that connected devices will need a laptop to learn and adapt to new things. “This is where rubber meets the blockchain road,” writes Tapscott. While implementation issues such as quantum computing are also mentioned in Chapter 4, this section describes how Web 3.0 works in a distributed cloud with a combination of decentralized public and private servers with advanced computing capabilities.

The threat from quantum computing
While the impact of blockchain on self-propelled vehicles is discussed in Chapters 5 and 6, it is guaranteed that Web 3.0 will stop.

Source: CoinTelegraph