ENGLISH

TECH TRENDS OF THE 4TH INDUSTRIAL REVOLUTION.

By D.. HWANG J.. YOON Y. PYO

Book information

Publisher
Mercury Learning & Inform
Year
2021
ISBN
9781683926887, 2021934961, 1683926889
Language
english
Format
PDF
Filesize
6 MB (6438845 bytes)
Pages
\151
Library
Mobilism
Time added
2021-10-22 11:27:16

Description

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

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