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

Emerging patterns for database solutions

Very few companies have been able to both converge technologies and address key issues in the respective industries. In this section, we will explore the key issues of respective domains and explore patterns to solve them, along with ideal examples.

Let's now understand the current issues in the enterprise software domain and explore the emerging patterns applicable.


Enterprises and large organizations have been successfully scaling, thanks to scalable systems such as Enterprise Resource Planning (ERP) software, Knowledge Management Software (KMS), and Inventory Management Software (IMS), to name a few. However, growing requirements and a groundbreaking revolution in how data is managed have led to a path of blockchain applications and AI technologies.

Technical impediments

The enterprise software domain is facing new challenges in managing huge amounts of data among stakeholders in a reliable manner. Here are the top three challenges...