IoT Standards with Blockchain : Enterprise Methodology for Internet of Things

Implement a standardized end-to-end IoT implementation based on best practices and proven successes in IoT across multiple industries. With this book you'll discover the three business strategies for enterprises to adopt and remain relevant in the marketspace ―the Customer Engagement strategy, the Business Transformation strategy, and the Business Productivity Improvement strategy. Pick the right strategy for your enterprise to ensure a clear mission and vision is established based on which IoT roadmap can be defined. Subsequently all business processes pertaining to the chosen business strategy are investigated to define use cases where IoT can be adopted to achieve that business strategy. Start by learning the generic industry perspective on digital transformation using IoT. Then move on to the IoT Standards Reference Model. It’s an abstract framework consisting of an interlinked set of clearly defined components for enterprises to successfully implement an IoT solution. The IoT Standards Reference Model can be applied for IoT use cases across any industry and is kept abstract in order to enable many, potentially different, IoT architectures to be implemented based on the model. With IoT thoroughly covered, you’ll dive into Blockchain and AI technology. This book will discuss the importance of using private blockchains for IoT use cases. You’ll also discover the five IoT-Blockchain implementation patterns that enterprises can enable for seamless communication between IoT devices, IoT Smart Gateways, and IoT platforms. These patterns help achieve trust, interoperability, and extendibility. Then you’ll work with AI and the IoT Standards Reference Model. The reference model recommends applying AI patterns to generate insights from data and take appropriate actions automatically. __IoT Standards with Blockchain__ also provides perspective on how and when to apply AI in an IoT Context. In the end, you’ll have a solid methodology to execute large scale, enterprise-level IoT implementations. You’ll have an enterprise digital transformation framework for IoT that will enable your enterprise to operate better. **What You'll Learn*** Facilitate IoT interoperability with best practices * Implement IoT platform security * Feed data and analytics to AI models **Who This Book Is For**C-suite leaders and IT program managers across all industries, including manufacturing (Industry 4.0), logistics, oil and gas, transportation, energy, mining and metals, aviation, pharmaceuticals, medical devices, and hospitality. Table of Contents 4 About the Author 11 About the Technical Reviewer 12 Introduction 13 Part I: IoT Business Strategy 16 Chapter 1: Getting Started 17 Designing Business for Future 20 The Internet of Things As a Digital Enabler 22 Operational Technology – A Preview 25 The IT-OT Integration 28 The Triple Challenges in IoT 30 Business Strategy 30 IoT Security 31 IoT Interoperability 32 Device Interoperability 33 Network Interoperability 34 Semantic Interoperability 34 Syntactic Interoperability 35 Platform Interoperability 36 Summary 37 Chapter 2: IoT Business Strategy 39 Customer Engagement Strategy 42 Business Transformation Strategy 44 Process Transformation 45 Model Transformation 48 Domain Transformation 50 Business Productivity Improvement 50 Choosing Between Customer Engagement, Business Transformation, and Business Productivity Improvement Strategy 52 Summary 54 Chapter 3: IoT Standards Business Transformation Model 56 What’s Next After Business Strategy Is Chosen 59 The IoT Use Case Reference Model (IoT UCR Model) 63 Applying IoT Treatments on Use Cases 66 Heterogeneous IoT Transform 66 Homogeneous IoT Transform 69 Summary 69 Part II: The IoT Standards Reference Model 71 Chapter 4: The IoT Standards Reference Model 72 The IoT Standards Reference Model 73 Devices (the Sensors and Actuators) 76 Smart IoT Gateways 77 Device Communication Is the First Function of the Gateway 79 Device Management Is Another Essential Function Performed by Some Gateways 80 Edge Computing Is the Third Important Function for Smart IoT Gateways 80 Challenges with Smart Gateways 83 Full Stack IoT Platform 84 AI (Artificial Intelligence) Is an Important Function Performed by the IoT Platform and in Some Cases Performed at the IoT Gateway Level (Called Edge IT) 85 Typical Activities Performed by the Smart IoT Gateway and Full Stack IoT Platform 88 Security 88 Device Security 89 Smart IoT Gateway Security 90 IoT Platform Security 91 Blockchain 92 Summary 96 Chapter 5: IoT Devices and Their Communication 98 Device Types 99 Small Things (Type 1 Devices) 100 Big Things (Type 2 Devices) 100 Complex Things (Type 3 Devices) 101 Communication Protocols 101 LPWAN (Low-Power Wide Area Network) 101 Satellite Communications Networks (3G/4G/5G) 102 Radio Frequency (RF) Networks 103 Bluetooth 104 Wi-Fi 105 RFID 105 The Wired Networks 106 Choosing the Right Smart IoT Gateway for Industry Use Cases 107 Summary 109 Chapter 6: The Smart IoT Gateway 111 Security 114 IT-OT Team Integration 115 Data Volume and Analytics 115 Lack of Standard Communication (Data) Protocols 116 Diversity of Products and Platforms 116 Return on Investment 116 IoT Gateways 118 Smart IoT Gateways 120 Choosing the Right Smart IoT Gateway 122 Data Size and Storage Capability 123 Data Processing Capability at the IoT Gateway Level Is Another Mandate 124 Ruggedness of the IoT Gateway 124 Interoperability (Connectivity Requirement) 125 Security 126 Legacy Device Integration 126 Scalability 127 IoT Gateway Comparisons 127 Hewlett Packard Enterprise 128 Dell 128 AAEON 129 Digi International 129 Huawei 129 Summary 130 Chapter 7: IoT Cloud Platform 131 IoT Basic Six 132 Reliability and Availability 133 Scalability 134 Cloud Elasticity 135 Vertical Scaling 135 Horizontal Scaling 135 Autoscaling 136 Disaster Recovery 136 Data Security 137 Pricing Model 138 Certifications and Standards 139 Company Profile 139 Specific Capabilities 140 Connectivity 141 Device Management 142 Device Onboarding and Provisioning 143 Device Configuration 144 Device Maintenance 145 Application Enablement Platforms (IoT Platform with Superior Application Development Capabilities) 146 Scalability 148 (Large-Scale) Device Onboarding Capabilities 148 Data Storage and IoT Analytics 149 Proof of Concept (POC) 150 Summary 151 Chapter 8: Security in IoT 152 Secure by Design (Securing the Whole IoT Ecosystem) 157 Buy Devices with Built-in Security 158 Protecting Devices 163 API Security 163 Smart IoT Gateway Security 165 Identity and Access Control (IAC) 165 Over-the-Air Updates and Secure Boot 166 Visibility and Threat Detection 166 Patch Management/Continuous Software Updates 166 Hardware Security 167 IoT Platform Security 167 Securing IoT Using Blockchain 167 Summary 168 Part III: AI and Blockchain As Enablers for IoT 170 Chapter 9: Blockchain with IoT 171 Public Blockchain 172 Private Blockchain 173 Hyperledger 175 Blockchain Benefits Almost Every Industry Today 176 IoT Blockchain Implementation Patterns 179 Pattern 1: Device ➤ IoT Cloud Platform ➤ Blockchain 180 Pattern 2: Device ➤ IoT Gateway ➤ IoT Cloud Platform ➤ Blockchain 181 Pattern 3: Device ➤ IoT Gateway ➤ Blockchain 181 Pattern 4: Device ➤ Blockchain 181 Pattern 5: Device ➤ IoT Gateway ➤ IoT Platform 182 Apply Integration Patterns Wisely 182 Building Blocks for IoMT and Associated Challenges 186 Ingestion of Data 186 Latency 186 Number of Devices 187 Interoperability 187 Late Arrival of Data 187 Data Duplication 188 Data Formats 188 Summary 189 Chapter 10: Artificial Intelligence in the IoT World (Applied IoT) 191 Robotic Process Automation 194 Artificial Intelligence 195 Data Science 197 The Link Between Artificial Intelligence and Data Science 198 Importance of Quality Data 199 Artificial Intelligence and IoT 200 Lessons Learned in Applying AI in IoT Use Cases (Applied IoT) 202 POC Is Not Successful, Until It Can Scale 203 AI Needs Enough Data and Time to Learn 204 Be Specific on What to Achieve 204 Get a Model into Action If It Works Fine, Instead of Aspiring to Do More AI 205 Summary 206 Part IV: IoT Implementation Aspects 208 Chapter 11: Big Data and Analytics 209 Debugging Capabilities 214 Timeliness and Accuracy of Data Brought Together 215 Where Should Data Management and Insights Happen 215 Data Storage Considerations (What Data Needs to Be Stored and What Needs to Be Discarded 216 Rapid Provisioning of Storage Is Another Key Requirement 217 Data Management with Fog Computing 218 Automated Data Decisions 218 Data Security and Privacy Remains to Be a Big Concern Across Industries in IoT 219 (Big) Data-First Reference Model 219 The Data Source 221 The Data Storage Layer 223 Data Extraction Layer and Data Processing Layer 223 Data Consumption Layer 224 Data Governance 225 Summary 227 Chapter 12: Product Mindset for IoT Use Case Implementation 229 Product Organization 232 IoT Product Life Cycle with Product Mindset 236 Hypothesis to Cash 238 Agile Software Development Methodology in IoT Use Case Development 239 Agile – A De Facto Methodology for IoT Use Case Development 241 Summary 244 Chapter 13: IoT Product Team 246 IoT Product Team 247 Operational Technology Lead 248 Security Advisor 248 Product Development Teams 249 DevSecOps Enables Faster Delivery Time 251 DevSecOps Manages the Scale and Is Proactively Secure 251 Manage Rigorous Interoperability Testing and Ensure Availability 252 Information Technology Lead 252 Big Data Lead 253 IoT Champion 253 IoT Product Team Identification 254 The Cost Implications of a Traditional Pyramid 258 Hackfest Model to Identify Product Development Teams 261 Shortlisting 262 Product-Focused Evaluation 262 Behavioral Evaluation 264 Trainings 264 Summary 266 Summary of the Book 267 Index 270 Implement a standardized end-to-end IoT implementation based on best practices and proven successes in IoT across multiple industries. With this book you'll discover the three business strategies for enterprises to adopt and remain relevant in the marketspace ―the Customer Engagement strategy, the Business Transformation strategy, and the Business Productivity Improvement strategy. Pick the right strategy for your enterprise to ensure a clear mission and vision is established based on which IoT roadmap can be defined. Subsequently all business processes pertaining to the chosen business strategy are investigated to define use cases where IoT can be adopted to achieve that business strategy. Start by learning the generic industry perspective on digital transformation using IoT. Then move on to the IoT Standards Reference Model. It’s an abstract framework consisting of an interlinked set of clearly defined components for enterprises to successfully implement an IoT solution. The IoT Standards Reference Model can be applied for IoT use cases across any industry and is kept abstract in order to enable many, potentially different, IoT architectures to be implemented based on the model. With IoT thoroughly covered, you’ll dive into Blockchain and AI technology. This book will discuss the importance of using private blockchains for IoT use cases. You’ll also discover the five IoT-Blockchain implementation patterns that enterprises can enable for seamless communication between IoT devices, IoT Smart Gateways, and IoT platforms. These patterns help achieve trust, interoperability, and extendibility. Then you’ll work with AI and the IoT Standards Reference Model. The reference model recommends applying AI patterns to generate insights from data and take appropriate actions automatically. IoT Standards with Blockchain also provides perspective on how and when to apply AI in an IoT Context. In the end, you’ll have a solid methodology to execute large scale, enterprise-level IoT implementations. You’ll have an enterprise digital transformation framework for IoT that will enable your enterprise to operate better. What You'll Learn Facilitate IoT interoperability with best practices Implement IoT platform security Feed data and analytics to AI models Who This Book Is For C-suite leaders and IT program managers across all industries, including manufacturing (Industry 4.0), logistics, oil and gas, transportation, energy, mining and metals, aviation, pharmaceuticals, medical devices, and hospitality. Implement a standardized end-to-end IoT implementation based on best practices and proven successes in IoT across multiple industries. With this book you'll discover the three business strategies for enterprises to adopt and remain relevant in the marketspace --the Customer Engagement strategy, the Business Transformation strategy, and the Business Productivity Improvement strategy. Pick the right strategy for your enterprise to ensure a clear mission and vision is established based on which IoT roadmap can be defined. Subsequently all business processes pertaining to the chosen business strategy are investigated to define use cases where IoT can be adopted to achieve that business strategy. Start by learning the generic industry perspective on digital transformation using IoT. Then move on to the IoT Standards Reference Model. It's an abstract framework consisting of an interlinked set of clearly defined components for enterprises to successfully implement an IoT solution. The IoT Standards Reference Model can be applied for IoT use cases across any industry and is kept abstract in order to enable many, potentially different, IoT architectures to be implemented based on the model. With IoT thoroughly covered, you'll dive into Blockchain and AI technology. This book will discuss the importance of using private blockchains for IoT use cases. You'll also discover the five IoT-Blockchain implementation patterns that enterprises can enable for seamless communication between IoT devices, IoT Smart Gateways, and IoT platforms. These patterns help achieve trust, interoperability, and extendibility. Then you'll work with AI and the IoT Standards Reference Model. The reference model recommends applying AI patterns to generate insights from data and take appropriate actions automatically. IoT Standards with Blockchain also provides perspective on how and when to apply AI in an IoT Context. In the end, you'll have a solid methodology to execute large scale, enterprise-level IoT implementations. You'll have an enterprise digital transformation framework for IoT that will enable your enterprise to operate better. You will: Facilitate IoT interoperability with best practices Implement IoT platform security Feed data and analytics to AI models "Implement a standardized end-to-end IoT implementation based on best practices and proven successes in IoT across multiple industries. With this book you'll discover the three business strategies for enterprises to adopt and remain relevant in the marketspace -the Customer Engagement strategy, the Business Transformation strategy, and the Business Productivity Improvement strategy. Pick the right strategy for your enterprise to ensure a clear mission and vision is established based on which IoT roadmap can be defined. Subsequently all business processes pertaining to the chosen business strategy are investigated to define use cases where IoT can be adopted to achieve that business strategy. Start by learning the generic industry perspective on digital transformation using IoT. Then move on to the IoT Standards Reference Model. It's an abstract framework consisting of an interlinked set of clearly defined components for enterprises to successfully implement an IoT solution. The IoT Standards Reference Model can be applied for IoT use cases across any industry and is kept abstract in order to enable many, potentially different, IoT architectures to be implemented based on the model. With IoT thoroughly covered, you'll dive into Blockchain and AI technology. This book will discuss the importance of using private blockchains for IoT use cases. You'll also discover the five IoT-Blockchain implementation patterns that enterprises can enable for seamless communication between IoT devices, IoT Smart Gateways, and IoT platforms. These patterns help achieve trust, interoperability, and extendibility. Then you'll work with AI and the IoT Standards Reference Model. The reference model recommends applying AI patterns to generate insights from data and take appropriate actions automatically. IoT Standards with Blockchainalso provides perspective on how and when to apply AI in an IoT Context. In the end, you'll have a solid methodology to execute large scale, enterprise-level IoT implementations. You'll have an enterprise digital transformation framework for IoT that will enable your enterprise to operate better."--Amazon.ca