Hands-On Artificial Intelligence for Blockchain: Converging Blockchain and AI to build smart applications for new economies

Cover
Title Page
Copyright and Credits
About Packt
Foreword
Contributors
Table of Contents
Preface
Section 1: Overview of Blockchain Technology
Chapter 1: Getting Started with Blockchain
	Technical requirements
	Blockchain versus distributed ledger technology versus distributed databases
		Comparing the technologies with examples
	Public versus private versus permissioned blockchains
		Comparing usage scenarios
	Privacy in blockchains
		Understanding Bitcoin
		A brief overview of Bitcoin
	Introduction to Ethereum
		A brief overview of Ethereum
	Introduction to Hyperledger
		Overview of the project
		Hyperledger Fabric
		Hyperledger Sawtooth
		Other Hyperledger frameworks and tools
	Other blockchain platforms – Hashgraph, Corda, and IOTA
	Consensus algorithms
		Proof of work
		Proof of stake
		Proof of burn
			Delegated Proof of Stake
		Proof of authority
		Practical Byzantine fault tolerance
		Proof of elapsed time
		RAFT
		Ternary augmented RAFT architecture
		Avalanche
	Building DApps with blockchain tools
		Blockchain toolchains and frameworks
		Developing smart contracts using IDEs and plugins
			The Remix IDE
			The EthFiddle IDE
			The YAKINDU plugin for Eclipse
			The Solidity plugin for Visual Studio Code
			The Etheratom plugin for Visual Studio Code
	Summary
Chapter 2: Introduction to the AI Landscape
	Technical requirements
	AI – key concepts
		History of AI
		AI winter
	Types of AI
		Weak AI 
		Strong AI
		Super AI
	Forms of AI and approaches
		Statistical and expert systems
		Machine learning
			Supervised learning
			Unsupervised learning
			Reinforcement learning
		Neural networks
		Evolutionary computation
		Swarm computation
	AI in digital transformation
		Data extraction
		Data transformation
		Processing
		Storyboarding
		Data utilization
		Failure scenarios
			Business requirements
			Adaptability
			Skill gaps
			Process overhaul
	AI platforms and tools
		TensorFlow
		Microsoft Cognitive Toolkit
		IBM Watson
	Summary
Section 2: Blockchain and Artificial Intelligence
Chapter 3: Domain-Specific Applications of AI and Blockchain
	Technical requirements
	Applying AI and blockchain to healthcare
		Issues in the domain
		Emerging solutions in healthcare
		Retrospective
	Applying AI and blockchain to supply chains
		Issues in the domain
		Emerging solutions in the supply chain industry
		Retrospective
	Applying AI and blockchain to financial services
		Issues in the domain
		Emerging solutions in BFSI
		Retrospective
	Applying AI and blockchain to other domains
		Applying AI and blockchain to knowledge management
			Issues in the domain
			Emerging solutions in knowledge management
			Retrospective
		Applying AI and blockchain to real estate
			Issues in the domain
			Emerging solutions in real estate
			Retrospective
		Applying AI and blockchain to media
			Issues in the domain
			Emerging solutions in media
			Retrospective
		Applying AI and blockchain to identity management
			Issues in the domain
			Emerging solutions in identity management
			Retrospective
		Applying AI and blockchain to royalty management
			Issues in the domain
			Emerging solutions in royalty management
			Retrospective
		Applying AI and blockchain to information security
			Issues in the domain
			Emerging solutions in information security
			Retrospective
		Applying AI and blockchain to document management
			Issues in the domain
			Emerging solutions in document management
			Retrospective
	Summary
Chapter 4: AI- and Blockchain-Driven Databases
	Technical requirements
	Centralized versus distributed data
		Motivations for using decentralized databases
		Contrast and analysis
	Blockchain data – big data for AI analysis
		Building better AI models using decentralized databases
		Immutability of data – increasing trust in AI training and testing
		Better control of data and model exchange
		Blockchain analytics
	Global databases
		IPFS
		MóiBit
		Solid
		Ocean Protocol
		Storj
		Swarm
	Data management in a DAO
		Aragon
		Bisq
	Emerging patterns for database solutions
		Enterprise
			Technical impediments
			Summary of the emerging pattern
		Financial services
			Technical impediments
			Summary of the emerging pattern
		Supply chain management
			Technical impediments
			Summary of the emerging pattern
		Healthcare
			Technical impediments
			Summary of the emerging pattern
	Summary
Chapter 5: Empowering Blockchain Using AI
	The benefits of combining blockchain and AI
		About Aicumen Technologies
		Combining blockchain and AI in pandemic management
			Current issues in digital contact tracing
		Combining blockchain and AI in social finance
			Current issues in financing
		Combining blockchain and AI to humanize digital interactions
			Current issues with digital interactions
		The democratization of AI with decentralization
			Case study – the TEXA project
				Functions of TEXA
	Summary
Chapter 6: Cryptocurrency and Artificial Intelligence
	Technical requirements
	The role of AI in cryptocurrency
	Cryptocurrency trading
		Issues and special considerations
		Benefits of AI in crypto trading
	Making price predictions with AI
		Issues with price prediction
		Benefits of AI in prediction
		Introduction to time series
		Time-series forecasting with ARIMA
		Applications of algorithmic or quant trading in cryptocurrency
			Arbitrage
	Market making
		Issues and special considerations
		Benefits of AI in trading data
	The future of cryptocurrencies in India
	Summary
Section 3: Developing Blockchain Products
Chapter 7: Development Life Cycle of a DIApp
	Technical requirements
	Applying SDLC practices in blockchains
		Ideation to productization
	Introduction to DIApps
	Comparing DIApps and DApps
		Challenges in the enterprise
		Solution architecture of a DApp
		Solution architecture of a DIApp 
		Key differences
	Designing a DIApp 
		Research
		Conceptualization
		Product-market fit
	Developing a DIApp
		Team formation
		Agile development
	Testing a DIApp
		Authoring the test cases
		Unit testing
		Integration testing
		Testing AI models
	Deploying a DIApp 
		Scaling the application for production
	Monitoring a DIApp 
		Explorers
	Summary
Chapter 8: Implementing DIApps
	Technical requirements
	Evolution of decentralized applications
		Traditional web applications
		Decentralized applications
		Decentralized intelligent applications
		Contrast and analysis
	Building a sample DIApp
		Problem statement
			Current challenges
			Contact tracing
			Issues with contact tracing
		Solution approach
			Choosing the blockchain technology
			Choosing a decentralized database
			Choosing an AI technique
			The technical architecture of the sample DIApp
		Developing the smart contract
		Developing the client code for sensors
		Training the model
		Developing the backend
		Developing the frontend
	Testing the sample DIApp
	Deploying the sample DIApp
		Signing up for the Google Maps API
		Signing up for MóiBit
		Signing up for Infura
		Updating your local justfile
		Deploying smart contracts
		Deploying client code into sensors
		Deploying the backend API
		Deploying the web dashboard
	Retrospecting the sample DIApp
		Merits of the sample DIApp
		Limitations of the sample DIApp
		Future enhancements
	Summary
Chapter 9: 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
		Customer service
			As-is scenario
			To-be scenario
			Possible solution
		Performance management
			As-is scenario
			To-be scenario
			Possible solution
		Data security
			As-is scenario
			To-be scenario
			Possible solution
		Finance management
			As-is scenario
			To-be scenario
			Possible solution
	Converging AI and blockchain in government
		Taxation
			As-is scenario
			To-be scenario
			Possible solution
		Voting
			As-is scenario
			To-be scenario
			Possible solution
		Legislative reforms
			As-is scenario
			To-be scenario
			Possible solution
		Census
			As-is scenario
			To-be scenario
			Possible solution
	Converging AI and blockchain in financial services
		Insurance
			As-is scenario
			To-be scenario
			Possible solution
	Converging AI and blockchain in human resources
		Background checks
			As-is scenario
			To-be scenario
			Possible solution
	Converging AI and blockchain in healthcare
		Pharmacovigilance
			As-is scenario
			To-be scenario
			Possible solution
	Converging AI and blockchain in supply chain management
		Volatility
			As-is scenario
			To-be scenario
			Possible solution
	Converging AI and blockchain in other domains
		Law and order
			As-is scenario
			To-be scenario
		National security
			As-is scenario
			To-be scenario
		Environment conservation
			As-is scenario
			To-be scenario
		Agriculture
			As-is scenario
			To-be scenario
	Summary
Appendix: Moving Forward - Resources for you
	Blockchain resources
		Awesome Blockchain
		News
		Communities
		Quintessential blogs
		Design
			Development and how-tos
	AI resources
		All-in-one list for beginning with AI
		Case studies
		Communities
		Quintessential blogs
			Research
			Development and how-tos
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Index