TECH TRENDS OF THE 4TH INDUSTRIAL REVOLUTION.

Cover
Title page
License page
Half Title page
Copyright page
Contents
Preface
Acknowledgments
About the authours
Chapter 1: Platform Business as a BusinessRevolution
Chapter 2: Internet of Things (IoT)
	2.1 IoT
	2.2 What Are Things in the IoT?
	2.3 Why the IoT?
	2.4 The World That the IoT Is Changing
		2.4.1 From Post-Response to Data-Based Proactive Response
		2.4.2 Industry and Business Model Change (from Ownership to Sharing)
		2.4.3 Innovation in Business Analytics
	2.5 Characteristics of the IoT and Changes Made by the IoT
		2.5.1 Ubiquitous Connectivity
		2.5.2 Widespread Adoption of IP
		2.5.3 Computing Economics
	2.6 IoT Business Application and Use Cases
		2.6.1 Smart Home
		2.6.2 Smart Grid
		2.6.3 Smart Healthcare
		2.6.4 Smart Shopping
	2.7 The IoT and Technology Convergence and Value Creation
	2.8 IoT Market Outlook
Chapter 3: Cloud Computing
	3.1 Cloud?
	3.2 What Is the Cloud?
	3.3 Traditional Infrastructure Model
	3.4 What about Reality?
	3.5 Is It Better to Borrow Than to Own?
		3.5.1 Utility Infrastructure Model Concept
	3.6 What Are the Advantages of Using the Cloud?
	3.7 Cloud Service Model Type
		3.7.1 SaaS – Software as a Service
		3.7.2 PaaS – Platform as a Service
		3.7.3 IaaS – Infrastructure as a Service
	3.8 Cloud Service Model by Type of Deployment
		3.8.1 Public Cloud
		3.8.2 Private Cloud
		3.8.3 Hybrid Cloud
	3.9 Introducing the Cloud Business Case
		3.9.1 Healthcare
		3.9.2 Agriculture
		3.9.3 Entertainment
	3.10 Introduction of Representative Cloud Services
	3.11 Overlook – Cloud
Chapter 4: Big Data
	4.1 What Is Big Data?
	4.2 Purpose of Big Data Analytics
	4.3 Big Data Analytics-Related Technology Solutions
	4.4 Big Data Application Business Cases
		4.4.1 Amazon Inc.
		4.4.2 Starbucks
		4.4.3 Netflix
		4.4.4 Bank of America
		4.4.5 IBM Watson Health
		4.4.6 RegTech
	4.5 The Future of Big Data
Chapter 5: Artificial Intelligence andMachine Learning
	5.1 Artificial Intelligence Is Now Deeply Infiltrated intoEveryday Life
	5.2 What Is Artificial Intelligence?
	5.3 Are There Types of Artificial Intelligence?
		5.3.1 Weak Artificial Intelligence
		5.3.2 Strong Artificial Intelligence
		5.3.3 Super Artificial Intelligence
	5.4 How Has Artificial Intelligence Developed?
	5.5 Artificial Intelligence, Machine Learning, Deep Learning
	5.6 Deep Learning Technology That Composes AlphaGo
	5.7 Are There Limits to Artificial Intelligence?
	5.8 Artificial Intelligence Meets Business
	5.9 Our Attitude toward Future Artificial Intelligence
Chapter 6: Virtual and Augmented Reality
	6.1 New World Seen through the Lens
	6.2 What Is Virtual Reality?
	6.3 Is Augmented Reality Different from Virtual Reality?
	6.4 Do We Believe What We Are Seeing?
	6.5 What Are the Advantages of Virtual/Augmented Reality?
	6.6 What Equipment Helps Us Feel Immersed in Virtual Reality?
	6.7 What Equipment Is Needed for Augmented Reality?
	6.8 Meet Virtual/Augmented Reality in Reality
	6.9 Problems to Be Solved in Virtual/Augmented Reality
	6.10 Virtual/Augmented Reality, What Is the Future Direction
	6.11 What if the Distinction between Reality and VirtualDisappears?
Chapter 7: Blockchain
	7.1 Why Blockchain?
	7.2 What Is a Ledger?
	7.3 Emergence of Blockchain: Bitcoin
	7.4 Double-Spending Problem
	7.5 What Is a Blockchain?
	7.6 How Does Blockchain Work?
	7.7 How Does Cryptocurrency Work?
	7.8 Why Is Blockchain Good?
	7.9 Types of Blockchain
	7.10 Business Applications of Blockchain
	7.11 The Future of Blockchain
Chapter 8: Robotics and Automation
	8.1 Robotics and Automation
	8.2 Introduction to Robotics and Automation
	8.3 What Is a Robot in Robotics and Automation?
	8.4 Software Robot?
	8.5 What Is Automation in Robotics and Automation?
		8.5.1 Office Automation
		8.5.2 Factory Automation
		8.5.3 Home Automation
	8.6 The Evolution of Software Robots
	8.7 Automation Example Using Robotics
	8.8 Robotics Misunderstandings and Truth
	8.9 Automation Application Area Using Robots
		8.9.1 Invoice Processing
		8.9.2 Sales and Customer Service
		8.9.3 Data Science Field
		8.9.4 Compliance
		8.9.5 Marketing
		8.9.6 Finance
		8.9.7 Manufacturing
		8.9.8 Distribution
		8.9.9 IT Tasks
	8.10 Areas That Are Difficult to Apply
		8.10.1 Customer Service
		8.10.2 Sales and Marketing
		8.10.3 Human Resource Management
	8.11 Benefits through Robotic Process Automation
		8.11.1 Accuracy
		8.11.2 Efficiency
		8.11.3 Quickness
		8.11.4 Improve Employee Satisfaction
		8.11.5 Accelerate Productivity Improvement
		8.11.6 Enhance Compliance
	8.12 Actual Application Examples
		8.12.1 Medical Field
		8.12.2 Article Writing
		8.12.3 Customer Service
		8.12.4 Distribution Field
		8.12.5 Extract Data
		8.12.6 Processing Human Resource Information
	8.13 The Future of Robot Automation
INDEX