Over the past 10 years, blockchain and its affiliated technologies have been used to add transparency and dis-intermediate unnecessary parties involved in critical processes. Along similar lines, AI has been adopted to optimize processes and predict outcomes in an accurate and cheap way. Together, AI and blockchain are catalyzing the pace of enterprise innovation. The convergence of these two technologies is expected to revolutionize some aspects of the digital landscape as we know it today. This book is a guide to help you understand the basic concepts of blockchain and AI, analyze their use cases, and implement these technologies across various industries such as healthcare, finance, trade, and supply chain management. The book also guides you to build applications using Ethereum, machine learning, and MóiBit.
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Book Overview & Buying
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Table Of Contents
Practical Artificial Intelligence and Blockchain
By :
Practical Artificial Intelligence and Blockchain
By:
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)
Preface
Section 1: Overview of Blockchain Technology
Free Chapter
Getting Started with Blockchain
Introduction to the AI Landscape
Section 2: Blockchain and Artificial Intelligence
Domain-Specific Applications of AI and Blockchain
AI- and Blockchain-Driven Databases
Empowering Blockchain Using AI
Cryptocurrency and Artificial Intelligence
Section 3: Developing Blockchain Products
Development Life Cycle of a DIApp
Implementing DIApps
The Future of AI with Blockchain
Moving Forward - Resources for you
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