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Practical Artificial Intelligence and Blockchain

Practical Artificial Intelligence and Blockchain

By : Kumble
4 (1)
Buy this Book
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Practical Artificial Intelligence and Blockchain

Practical Artificial Intelligence and Blockchain

4 (1)
By: Kumble
Buy this Book

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

This chapter explores multiple approaches and design patterns that are used to elevate the quality of blockchain solutions by leveraging artificial intelligence (AI) models and techniques. You will see how AI is applied along with blockchain across multiple verticals. Also, you will be able to identify white spaces, address them with guided approaches, and design solutions by using blockchain and AI. In this chapter, we will cover the following topics:

  • The benefits of combining blockchain and AI
  • About Aicumen Technologies
  • Combining blockchain and AI in pandemic management
  • Combining blockchain and AI in social finance
  • Combining blockchain and AI to humanize digital interactions
  • The democratization of AI with decentralization
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CONTINUE READING
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Tech Concepts
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Programming languages
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Practical Artificial Intelligence and Blockchain
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