IoT Product Design and Development (eBook)

Ahmad Fattahi, PhD, is Director of Data Science in the Office of the Chief Analytics Officer at TIBCO. He focuses on solving customers' real-world business problems. To turn those problems into opportunities, he and his team use various statistical, mathematical, and engineering techniques that lead to business value. His team also invests in continuously innovating within manufacturing, IoT, and energy verticals with data and artificial intelligence. He has 15 years of experience in the industry as a leader of data, AI services, and other technologies for Cisco and OSIsoft. He holds a PhD in electrical engineering from University of California, Los Angeles.

Acknowledgments ix

Preface xi

Who Is This Book For? xii

What Is Covered? xiii

Chapter 1 Introduction to IoT 1

What Is IoT? 1

Why Is IoT Important? 3

Why Now? 5

Chapter 2 IoT and Digital Transformation 9

The Role of IoT in Modern Businesses 11

It's an Integration Process: The Human Aspects of Digital Transformation 17

Chapter 3 Business Models and Market Analysis 23

Business and Industrial Market 23

Consumer Market 37

Connectivity Choice and Its Impact on ROI 49

Climate Change and Performance Per Watt 50

Data By-Products Beyond the Original IoT Application 51

Chapter 4 Security 57

Encryption Techniques 59

Software and Firmware Update Techniques 69

Key Management and Protection Against Known Threats 70

Security Attacks and Chain of Trust 71

Blockchain 77

Summary of Best Security Practices for IoT Systems 79

Networking Concepts 80

IoT Security Standards and Certificates 86

Chapter 5 IoT System Design Process and Main Components 95

Design and Deployment Process 95

Sensors 107

File Systems 114

Machine Learning 119

Networking and Communication System, Product Lifecycle, Device Management 136

Wireless Communication Protocols 144

Examples 155

IoT Systems Lifecycle 160

Chapter 6 The Process of Building a Data Product 163

What Personas Do You Need on Your Team? 165

Business Understanding 166

Data Understanding 167

Data Preparation 168

Modeling 169

Evaluation 171

Deployment 172

The Cycle Repeats - Crisp-DM 172

Chapter 7 Concluding Remarks 175

Further Reading 177

Index 179