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 – key concepts

AI has many definitions based on the nature of its techniques, its usage, and also the timeline of its research. However, the most common definition is as follows—AI is the intelligence and capability exhibited by a computer to perceive, learn, and solve problems, with minimal probability of failure.

The ability of AI to compute and achieve results within a shorter period of time than humans has made computers the cornerstone of automation across various industries. The computational work of humans is often prone to errors, is time-consuming, and exhibits diminishing accuracy as the problem gets harder to solve. However, computers have been able to fill this role for a long time, from the early beginnings of automation that can be observed in many passive forms in our daily life. One of the best examples of such automation is the introduction of Optical Character Recognition (OCR), which converts embedded text in an image or document into a text source...