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

Retrospecting the sample DIApp

In this section, we will try to analyze the pros and cons of the proposed sample DIApp.

Merits of the sample DIApp

Here are some of the merits of our proposed sample DIApp solution:

  • It covers other agents of infection, apart from humans.
  • It helps in restoring the global economy and normalcy.
  • It allows insurance companies and organizations to assess supply chain risks.

However, there are some limitations in the sample DIApp we must acknowledge and understand.

Limitations of the sample DIApp

Here are some of the limitations in our proposed sample DIApp solution:

  • The AI algorithm can be prone to some false positives. Optimization will be needed.
  • Due to a lack of hardware precision, software accuracy, and a better approach to computational complexity, the current implementation of the DIApp cannot be used in production.
  • The DIApp is unable to trace infections indoors as GPS is unable to identify the floor that the sensor is currently placed in. Other alternatives...