Book Image

Mastering Blockchain - Fourth Edition

By : Imran Bashir
5 (3)
Book Image

Mastering Blockchain - Fourth Edition

5 (3)
By: Imran Bashir

Overview of this book

Blockchain is the backbone of cryptocurrencies, it has had a massive impact in many sectors, including finance, supply chains, healthcare, government, and media. It’s also being used for cutting edge technologies such as AI and IoT. This new edition is thoroughly revised to offer a practical approach to using Ethereum, Hyperledger, Fabric, and Corda with step-by-step tutorials and real-world use-cases to help you understand everything you need to know about blockchain development and implementation. With new chapters on Decentralized Finance and solving privacy, identity, and security issues, as well as bonus online content exploring alternative blockchains, this is an unmissable read for everyone who wants to gain a deep understanding of blockchain. The book doesn’t shy away from advanced topics and practical expertise, such as decentralized application (DApp) development using smart contracts and oracles, and emerging trends in the blockchain space. Throughout the book, you’ll explore blockchain solutions beyond cryptocurrencies, such as the IoT with blockchain, enterprise blockchains, and tokenization, and gain insight into the future scope of this fascinating and disruptive technology. By the end of this blockchain book, you will have gained a thorough comprehension of the various facets of blockchain and understand the potential of this technology in diverse real-world scenarios.
Table of Contents (24 chapters)
23
Index

Blockchain and AI

AI is a field of computer science that endeavors to build intelligent agents that can make rational decisions based on the scenarios and environment that they observe around them. Machine learning plays a vital role in AI technology by making use of raw data as a learning resource. A key requirement in AI-based systems is the availability of authentic data that can be used for machine learning and model building. Therefore, the explosion of data coming out of IoT devices, smartphones, and other means of data acquisition means that AI and machine learning is becoming more and more powerful. There is, however, a requirement for data authenticity, which is where the convergence with the blockchain comes in. Once consumers, producers, and other entities are on a blockchain, the data that is generated as a result of interaction between these entities can be readily used as input for machine learning engines with a guarantee of authenticity.

The convergence of the...