Step into the forefront of innovation with Emerging Technology for Managers, a comprehensive guide designed for aspiring managers. This book offers an in-depth exploration of the most transformative technologies today, including AI, Virtual Reality, Data Science, Blockchain, IoT, Cloud Computing, Digital Manufacturing, Robotics, and 3D Printing. It not only simplifies these complex fields but also highlights their real-world applications across various industries. Discover how to leverage the opportunities these technologies bring and address the challenges they pose. As we enter a new digital era, this book provides essential insights into the profound impacts on society, the economy, and the environment. Equip yourself with the knowledge to shape the future and take your first step toward technological mastery.

About The Book

About The Author

Acknowledgment

Chapter 1 Artificial Intelligence (AI)

1.1 Introduction

1.2 Introduction to Artificial Intelligence [AI]

1.2.1 Broad Spectrum of AI

1.2.2 The Significance of AI: Why Learn AI?

1.2.3 What Is AI?

1.2.4 History of AI

1.2.5 Types of AI

1.2.6 Levels of AI

1.2.7 AI Tools and Platforms

1.3 Applications of AI

1.3.1 Industry-Specific AI Applications

1.3.2 Agriculture

1.3.3 Business

1.3.4 Health

1.3.5 Education

Summary

Keywords

Objective Questions

Descriptive Questions

Suggested Readings

e-References

Chapter 2 Internet of Things (IoT)

2.1 Introduction

2.2 Overview of IoT

2.2.1 History of IoT

2.2.2 Evolution of IoT

2.2.3 IoT Standards and Frameworks

2.2.4 Sensors

2.3 Understanding IoT: Functionality and Use Cases

2.3.1 Components of IoT

2.3.2 Architecture of IoT

2.3.3 IoT Devices

2.3.4 IoT Networks

2.3.5 Applications of IoT

2.3.6 IoT Based Smart Farming

Summary

Keywords

Objective Questions

Descriptive Questions

Suggested Readings

e-References

Chapter 3 Cloud Computing

3.1 Introduction

3.2 What is Cloud Computing?

3.2.1 Cloud Computing: Overview

3.2.2 Cloud Computing: Nature and Benefits

3.2.3 Cloud Service Models

3.2.4 Other Cloud Services

3.2.5 Virtualisation and Containerization

3.2.6 Cloud Security

3.3 Cloud Platforms

3.3.1 Types of Cloud Platforms

3.3.2 AWS

3.3.3 Google Cloud Platform (GCP)

3.3.4 Microsoft Azure

3.3.5 Vendor Offering – IBM

Summary

Keywords

Objective Questions

Descriptive Questions

Suggested Readings

Chapter 4 Blockchain

4.1 Introduction to Blockchain

4.1.1 Blockchain Transparency

4.1.2 Need of Blockchain

4.1.3 Is Blockchain Secure?

4.1.4 Fundamentals of Blockchain

4.1.5 Principles and Technologies

4.1.6 Cryptocurrencies

4.1.7 Bitcoin

4.1.8 Public Ledgers

4.1.9 Smart Contracts

4.1.10 Blockchain Applications and Use Cases

4.2 Understanding Blockchain and Other Aspects

4.2.1 Benefits of Blockchains

4.2.2 Drawbacks of Blockchains

4.2.3 Block in a Block Chain

4.2.4 Blockchain Transactions

4.2.5 Distributed Consensus

4.2.6 Permissioned Model of Block chain

4.2.7 Overview of Security Aspects of Blockchain

Summary

Keywords

Objective Questions

Descriptive Questions

e-References

Chapter 5 Digital Manufacturing

5.1 Introduction

5.2 The History and Survey of 3D Printing

5.2.1 What Is 3D Printing?

5.2.2 Common 3D Printing Methods

5.2.3 Design Principles

5.2.4 Emerging Trends in 3D Printing

5.2.5 Limitations of 3D Printing

5.2.6 Introduction of Drones, Engineering Disciplines

5.2.7 Multirotor Drone Assembly Course/Regulations and

Procedures for Becoming a Drone Pilot

Summary

Keywords

Objective Questions

Descriptive Questions

e-References



Chapter 6 Robotics

6.1 Introduction

6.1.1 Key Components of a Robot

6.1.2 Classification of Robots

6.1.3 Control Systems

6.1.4 Kinematics Systems

6.1.5 Robot Manipulators

6.1.6 Social Issues and Safety

6.2 Robot Anatomy and Motion Analysis

6.2.1 Anatomy of a Robot

6.2.2 Robot Configurations

6.2.3 Types of Robotic Movements

6.2.4 Degrees of Freedom

Summary

Keywords

Objective Questions

Descriptive Questions

Suggested Readings

e-References

Chapter 7 Data Science

7.1 Introduction to Data Science

7.2 Overview of Data Science

7.2.1 Introduction to Data Science

7.2.2 Types of Data

7.2.3 Introduction to Data Science Mindset

7.2.4 Data Science Process

7.2.5 Data Science Toolkit

7.3 Fundamentals of Data Science

7.3.1 Data Analysis

7.3.2 Data Structures

7.3.3 Data Visualisation

7.3.4 Data Mining

7.3.5 Applications of Data Science

Summary

Keywords

Objective Questions

Descriptive Questions

Suggested Readings

Chapter 8 Cyber Security

8.1 Overview of Cybersecurity

8.1.1 Introduction to Cyber Security

8.1.2 Layers of Security

8.1.3 Challenges and Constraints

8.1.4 Computer Crimes and Criminals

8.1.5 CIA Triad

8.1.6 Cyber Assets

8.1.7 Cyber Threats

8.2 Cryptography and Cryptanalysis

8.2.1 Introduction to Cryptography

8.2.2 Symmetric Key Cryptography

8.2.3 Asymmetric Key Cryptography

8.2.4 Hash Functions

8.2.5 Cryptanalysis

8.2.6 Digital Signatures

8.2.7 Overview of Firewalls

Summary

Keywords

Objective Questions

Descriptive Questions

Suggested Readings

e-References 410

Chapter 9 3D Printing and Design

9.1 3D Printing (Additive Manufacturing)

9.1.1 Introduction

9.1.2 Process

9.1.3 Classification

9.1.4 Advantages

9.1.5 Additive vs. Conventional Manufacturing Processes

9.1.6 Real-Life Applications

9.2 Cad for Additive Manufacturing

9.2.1 CAD Data Formats

9.2.2 Data translation

9.2.3 Data Loss

9.2.4 STL Format

Summary

Keywords

Objective Questions

Suggested Readings

e-References

Chapter 10 Ethics and Professionalism of Emerging Technologies

10.1 Introduction

10.1.1 Ethical Concerns in Emerging Technologies

10.1.2 Technology and Ethics

10.1.3 General Ethical Principles

10.1.4 Professional Responsibilities

10.2 Privacy in Technologies

10.2.1 Privacy Threats from Today’s Computer Systems

10.2.2 Data Privacy

10.2.3 Data Privacy Laws and GDPR

10.2.4 Digital Privacy

10.2.5 Emerging Ethical Dilemmas in Science and Technology

10.2.6 Ethical Dimensions and Dilemmas in

Emerging Technologies

10.2.7 Communication Privacy

10.2.8 Ethical and Regulatory Challenges

10.2.9 Emerging Technologies Shaping Privacy

10.2.10 Encryption and Decryption

Summary

Keywords

Objective Questions

Descriptive Questions

Suggested Readings

e-References

Chapter 11 Virtual Reality

11.1 Introduction to Virtual Reality

11.1.1 Types of Virtual Reality

11.1.2 Virtual Reality and Virtual Environment

11.1.3 Computer Graphics

11.1.4 Real-Time Computer Graphics

11.1.5 Flight Simulation

11.1.6 Virtual Environment Requirements

11.1.7 Benefits of Virtual Reality

11.1.8 Real-Life Application

Summary

Keywords

Objective Questions

Descriptive Questions

Suggested Readings

e-References

Chapter 12 Future Trends

12.1 Emerging Future Trends And Other Emerging Technologies

12.1.1 Augmented Reality (AR) and Virtual Reality (VR)

12.1.2 5G Telecom

12.1.3 5G in India, Application and Use Cases

12.1.4 Brain Computer Interface, Application, Model and Global Market

12.1.5 Brain-Computer Interface and Human Brain

12.2 Other Emerging Technologies

12.2.1 Quantum Computing

12.2.2 Nanotechnology

12.2.3 3D Printing

12.2.4 Autonomic Computing

12.2.5 Embedded Systems

Summary

Keywords

Objective Questions

Descriptive Questions

Suggested Readings

e-References

Index

About the Author
Reema Thareja is an Assistant Professor at the School of Open Learning, University of Delhi, with over 20 years of experience teaching undergraduate and postgraduate courses in computer fundamentals, AI, Data Science, Machine Learning, and programming languages like C, C++, and Python. She has authored numerous books on these topics and published 26 research papers in top international journals, holding four patents. With an h-index of 11 and i10-index of 14, Dr. Thareja also reviews for SCI and Scopus-indexed journals and serves on program committees for international conferences. She is the creator of Jruma, a mobile app for Computer Science learning and quizzing, available on Android and iOS.