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

Converging AI and blockchain in supply chain management

Supply chain management is defined as a group of activities that streamline the flow of all goods and raw materials that are required for the production of a finished good. It involves the storage and movement of raw materials, monitoring inventory, and the delivery of finished goods to the point of consumption. All these processes need to be digitally monitored and communicate any disruptions in real time. Hence, there is a need for intelligent supply chain management software that is flexible and accurate. The market size of supply chain management software is expected to reach a figure of around USD 25 billion by the year 2025.

There are multiple approaches and solution architectures available for building intelligent Supply Chain Management (SCM) software. I have mentioned some of this supply chain management software in Chapter 3, Domain-Specific Application of AI and Blockchain. Hence, we will cover one simple problem faced...