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Blockchain Developer's Guide

You're reading from   Blockchain Developer's Guide Develop smart applications with Blockchain technologies - Ethereum, JavaScript, Hyperledger Fabric, and Corda

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Product type Course
Published in Dec 2018
Publisher
ISBN-13 9781789954722
Length 564 pages
Edition 1st Edition
Languages
Concepts
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Authors (4):
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Paul Valencourt Paul Valencourt
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Paul Valencourt
Brenn Hill Brenn Hill
Author Profile Icon Brenn Hill
Brenn Hill
Narayan Prusty Narayan Prusty
Author Profile Icon Narayan Prusty
Narayan Prusty
Samanyu Chopra Samanyu Chopra
Author Profile Icon Samanyu Chopra
Samanyu Chopra
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Table of Contents (37) Chapters Close

Title Page
Copyright
About Packt
Contributors
Preface
1. Blockchain 101 FREE CHAPTER 2. Components and Structure of Blockchain 3. Decentralization Versus Distributed Systems 4. Cryptography and Mechanics Behind Blockchain 5. Bitcoin 6. Altcoins 7. Achieving Consensus 8. Advanced Blockchain Concepts 9. Cryptocurrency Wallets 10. Alternate Blockchains 11. Hyperledger and Enterprise Blockchains 12. Ethereum 101 13. Solidity 101 14. Smart Contracts 15. Ethereum Accounts and Ether Tokens 16. Decentralized Applications 17. Mining 18. ICO 101 19. Creating Your Own Currency 20. Scalability and Other Challenges 21. Future of Blockchain 22. Understanding Decentralized Applications 23. Understanding How Ethereum Works 24. Writing Smart Contracts 25. Getting Started with web3.js 26. Building a Wallet Service 27. Building a Smart Contract Deployment Platform 28. Building a Betting App 29. Building Enterprise Level Smart Contracts 30. Building a Consortium Blockchain 1. Other Books You May Enjoy Index

Intersecting with AI and IoT


The two other major technological buzz-phrases of the moment are AI and IoT. There are a number of ways that these technologies could overlap and intersect.

Blockchain-intersecting AI

Artificial intelligence requires a vast amount of data to be effective. This is part of why so many big companies are pursuing AI projects with such fervor. Larger companies have access to more data and are therefore able to produce superior AI results than companies that have less data. Thus, larger companies have a vast competitive advantage over small ones if they are able to leverage AI expertise effectively. Public blockchains remove this advantage because the same data is available to all. In this realm, smaller startups that are more nimble and have nothing to lose could leverage this public data to provide new services and offerings through proprietary or highly targeted offerings.

Similarly, it is expected that consortium blockchains will further strengthen incumbents who...

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