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

AI platforms and tools

One of the major signs of maturity in an AI ecosystem is identified by the application of new tools and frameworks. Other indicators such as innovation, interoperability, and accuracy also play a major role in identifying the maturity of an AI ecosystem and its tools. In the following sections, we can see a short list of a few AI platforms and tools that are leveraged by many engineers around the world.


TensorFlow is an open source project anchored by internet giant Google. It is a sophisticated framework used for machine learning projects. It offers a wide ecosystem with comprehensive toolkits, libraries, and documentation that enable researchers and developers to easily design, build, and deploy machine learning-powered applications. Find out more about the tools at

Microsoft Cognitive Toolkit

The Microsoft Cognitive Toolkit (CNTK) is an open source toolkit for commercial-grade distributed deep learning. It describes neural...