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.

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Table of Contents (15 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
1
Section 1: Overview of Blockchain Technology
Section 1: Overview of Blockchain Technology
Free Chapter
2
Getting Started with Blockchain
Getting Started with Blockchain
Technical requirements
Blockchain versus distributed ledger technology versus distributed databases
Public versus private versus permissioned blockchains
Privacy in blockchains
Introduction to Ethereum
Introduction to Hyperledger
Other blockchain platforms – Hashgraph, Corda, and IOTA
Consensus algorithms
Building DApps with blockchain tools
Summary
3
Introduction to the AI Landscape
Introduction to the AI Landscape
Technical requirements
AI – key concepts
Types of AI
Forms of AI and approaches
AI in digital transformation
AI platforms and tools
Summary
4
Section 2: Blockchain and Artificial Intelligence
Section 2: Blockchain and Artificial Intelligence
5
Domain-Specific Applications of AI and Blockchain
Domain-Specific Applications of AI and Blockchain
<strong>Technical requirements</strong>
<strong>Applying AI and blockchain to healthcare</strong>
<strong>Applying AI and blockchain to supply chains</strong>
<strong>Applying AI and blockchain to financial services</strong>
<strong>Applying AI and blockchain to other domains</strong>
<strong>Summary</strong>
6
AI- and Blockchain-Driven Databases
AI- and Blockchain-Driven Databases
Technical requirements
Centralized versus distributed data
Blockchain data – big data for AI analysis
Global databases
Data management in a DAO
Emerging patterns for database solutions
Summary
7
Empowering Blockchain Using AI
Empowering Blockchain Using AI
<strong>The benefits of combining blockchain and AI</strong>
Summary
8
Cryptocurrency and Artificial Intelligence
Cryptocurrency and Artificial Intelligence
Technical requirements
The role of AI in cryptocurrency
Cryptocurrency trading
Making price predictions with AI
Market making
The future of cryptocurrencies in India
Summary
9
Section 3: Developing Blockchain Products
Section 3: Developing Blockchain Products
10
Development Life Cycle of a DIApp
Development Life Cycle of a DIApp
Technical requirements
Applying SDLC practices in blockchains
Introduction to <span>DIApps</span>
<strong>Comparing <span>DIApps </span>and DApps</strong>
Designing a <span>DIApp </span>
Developing a <span>DIApp</span>
Testing a <span>DIApp</span>
Deploying a <span>DIApp </span>
Monitoring a <span>DIApp </span>
Summary
11
Implementing DIApps
Implementing DIApps
<strong>Technical</strong> r<strong>equirements</strong>
<strong>Evolution of decentralized applications</strong>
<strong>Building a sample DIApp</strong>
<strong>Testing the sample DIApp</strong>
<strong>Deploying the sample DIApp</strong>
<strong>Retrospecting the sample DIApp</strong>
<strong>Summary</strong>
12
The Future of AI with Blockchain
The Future of AI with Blockchain
Technical requirements
The convergence of AI and blockchain
The future of converging AI and blockchain
Converging AI and blockchain in enterprise
Converging AI and blockchain in government
Converging AI and blockchain in financial services
Converging AI and blockchain in human resources
Converging AI and blockchain in healthcare
Converging AI and blockchain in supply chain management
Converging AI and blockchain in other domains
Summary
13
Moving Forward - Resources for you
Moving Forward - Resources for you
Blockchain resources
AI resources
14
Other Books You May Enjoy
Other Books You May Enjoy
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The convergence of AI and blockchain

AI and blockchain technologies are no longer buzzwords given that you have arrived at the end of this book. Billions of dollars' worth of assets are managed by innovative financial instruments on public blockchain networks such as Ethereum. AI is used in predictive healthcare, cancer research, and contact-tracing COVID-19 infections. Both technologies are serving humans in an indirect manner. As explained in Chapter 5, Empowering Blockchain using AI, the combined application of AI and blockchain is helping to solve a number of critical use cases today.

Now that you are equipped with the basic concepts and hands-on skills of both technologies, let's go through some ideas on converging AI and blockchain to address a number of real-world problems.

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End of Section 3
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