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)
1
Section 1: Overview of Blockchain Technology
4
Section 2: Blockchain and Artificial Intelligence
9
Section 3: Developing Blockchain Products

Deploying a DIApp

In this section, we will discuss the common practices for deploying blockchain-based applications in hybrid environments. Unlike other emerging technologies, blockchain platforms demand a relatively larger stretch of time to set up the network and make the whole ecosystem functional. Accordingly, several blockchain platforms have understood the need for DevOps as an integral part of developing those platforms. Hence, it is also important to note that DevOps knowledge is also essential in using these platforms for developing applications and deploying solutions.

Scaling the application for production

Deployment of the DIApp is the final crucial step in the life cycle. Apart from correctness, it is imperative that the application is designed, architected, and developed in a manner supportive for the deployment of the application in a scalable manner. The scale is not only measured in terms of the number of users, but also depends on the cost, form factors, and other economic...