IoT Product Design and Development: Best Practices for Industrial, Consumer,

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