Book Image

Practical Artificial Intelligence and Blockchain

By : Ganesh Prasad Kumble
Book Image

Practical Artificial Intelligence and Blockchain

By: Ganesh Prasad Kumble

Overview of this book

AI and blockchain are two emerging technologies catalyzing the pace of enterprise innovation. With this book, you’ll understand both technologies and converge them to solve real-world challenges. This AI blockchain book is divided into three sections. The first section covers the fundamentals of blockchain, AI, and affiliated technologies, where you’ll learn to differentiate between the various implementations of blockchains and AI with the help of examples. The second section takes you through domain-specific applications of AI and blockchain. You’ll understand the basics of decentralized databases and file systems and connect the dots between AI and blockchain before exploring products and solutions that use them together. You’ll then discover applications of AI techniques in crypto trading. In the third section, you’ll be introduced to the DIApp design pattern and compare it with the DApp design pattern. The book also highlights unique aspects of SDLC (software development lifecycle) when building a DIApp, shows you how to implement a sample contact tracing application, and delves into the future of AI with blockchain. By the end of this book, you’ll have developed the skills you need to converge AI and blockchain technologies to build smart solutions using the DIApp design pattern.
Table of Contents (15 chapters)
Section 1: Overview of Blockchain Technology
Section 2: Blockchain and Artificial Intelligence
Section 3: Developing Blockchain Products

Blockchain data – big data for AI analysis

As you may be aware, blockchains generate enormous amounts of data due to their transactional nature. At the time of writing, the size of some of the prominent blockchain networks is as follows:

Blockchain Total size of the blockchain (approx. in GB)
Bitcoin 323
Ethereum 4,233

Some experts in the industry have speculated that the size of blockchains will soar 10 times more, due to an increase in the number of users and the adoption of public networks in the business-to-business (B2B) landscape.

The growing size of blockchain data enables new avenues of growth for data science. The application of AI and analytical practices on this giant heap of transactional data in the blockchain can create a large impact on most of the current blockchain products. Analytics derived from qualified data sources such as blockchain can also lead to new digital transformation projects. In order to facilitate this, we need a secondary source of...