Enterprise blockchain began to emerge in 2016 when companies like IBM started using private networks to manage their supply chain. Additionally, author Don Tapscott wrote and published in the 2016 Blockchain Revolution, a book that explores how blockchain is transforming a number of industries.

After the release of Blockchain Revolution, Tapscott, who is also a co-founder of the Blockchain Research Institute, published The Supply Chain Revolution in August 2020. Given the book’s release date, Supply Chain Revolution described how the COVID-19 pandemic has led to errors. . across all supply chains around the world, and further explains how blockchain can be used to address these challenges.

Nearly a year after The Supply Chain Revolution was released, Tapscott published his latest book, The Platform Revolution. Unlike two of his other books, which explain what blockchain is and how it can be applied to the development of specific industries, Platform Revolution goes further, developing the thesis that blockchain has reached “platform state.”

In particular, Tapscott told Cointelegraph that blockchain has matured so much over the years that companies and industries are now creating new blockchain-based models as “platforms.” Additionally, Tapscott believes that blockchain has reached a triple convergence point, making it the greatest technology of the digital age:

“Today, in the second era of the digital age, there are many new technologies, including artificial intelligence, machine learning, and the Internet of Things. After all, the biggest of these technologies is the blockchain that “converges” with all other technologies.”
Understand the diversity of blockchain technology
Through eight chapters from Platform Revolution, Tapscott explains how businesses, supply chains, and sectors of the economy are using blockchain as a platform for further development.

Describing the contrast of blockchain with artificial intelligence, machine learning, and the Internet of Things, Chapter 1 of Platform Revolution discusses how blockchain can secure the future of the digital age. In short, this chapter explores digital conglomerates like Facebook (now Meta) and Google, and notes that these organizations act as owners of user data. “We make the data, and these companies take it,” Tapscott said. “In this case, we have almost nothing left – we can’t monetize or protect our data, as our privacy is undermined.”

To address this ongoing dilemma, Chapter 1 explains how open access, fair sharing, and identity on the blockchain network can improve Internet access. In particular, the chapter focuses on how blockchain can solve the problem of manipulation, promote fairness, protect the rights of creators, and more. While that may be the case, the first chapter also goes into detail about why blockchain, artificial intelligence, and the Internet of Things will eventually lead to Web 3.0. It is described as a network where billions of people, entities, and decentralized autonomous organizations, or DAOs, can move and analyze data to make better decisions.

The second chapter of the book looks at the impact of blockchain on big data. Big data is categorized here as a new asset class that can override all other assets due to the notion that digital conglomerates have been collecting user data privately over the years. But by using cryptographic techniques such as those used in blockchain networks, new data privacy and ownership rights can be gained.

On the topic: Review of Don Tapscott’s book The Supply Chain Revolution.

Chapter 3 is an important part of the platform revolution as Tapscott and co-author Anjan Vinod carefully examine the relationship between blockchain and artificial intelligence. According to Tapscott and Vinod, artificial intelligence makes blockchain one of the greatest technological revolutions in history. This chapter explains how blockchain can provide a decentralized infrastructure for the entire AI ecosystem. For example, he notes that a decentralized, blockchain-based solution could provide a more democratic but secure way to transfer data required for AI models.

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