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The Future of the Automotive Industry : The Disruptive Forces of AI, Data Analytics, and Digitization

معرفی کتاب «The Future of the Automotive Industry : The Disruptive Forces of AI, Data Analytics, and Digitization» نوشتهٔ Inma Martínez (auth.)، منتشرشده توسط نشر Apress : Imprint: Apress در سال 2021. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

Nothing defined the 20th century more than the evolution of the car industry. The 2020 decade will see the automotive industry leap forward beyond simply moving people geographically toward a new purpose: to become a services industry. This book takes readers on a journey where cars will evolve towards becoming “computers on wheels." The automotive industry is one of the sectors most profoundly changed by digitalization and the 21st century energy needs. You'll explore the shifting paradigms and how cars today represent a new interpretation of what driving should be and what cars should offer. This book presents exciting case studies on how artificial intelligence (AI) and data analytics are used to design future cars, predict car efficiency, ensure safety and simulate engineering dynamics for its design, as well as a new arena for IoT and human data. It opens a window into the origins of cars becoming software-run machines, first to run internal diagnostics, and then to become machines connected to other external machines via Bluetooth, to finally the Internet via 5G. From transportation to solving people’s problems, The Future of the Automotive Industry is less about the technology itself, but more about the outcomes of technology in the future, and the transformative power it has over a much beloved item: cars. What You’ll Learn Explore smart cities and their evolution when it comes to traffic and vehicles Gain a new perspective on the future of cars and transportation based on how digital technologies will transform vehicles Examine how AI and IoT will create new contexts of interactions with drivers and passengers alike Review concepts such as personalizing the driving experience and how this will take form See how self-driving cars impact data mining of personal data Who This Book Is For Anyone with an interest in digital advancements in the automotive industry beyond the connected car. Table of Contents 4 About the Author 8 About the Technical Reviewer 9 Foreword 10 Acknowledgments 15 Introduction 18 Part I: Car 4.0 21 Chapter 1: OK Computer 22 Vehicle Electronics 22 The Internet of Vehicles: Car Sensors 26 Fit for Purpose, Safe for Humans 29 Automation 33 Driving Forces of Car Innovation 36 Summary 37 Chapter 2: Mission Control 39 A Moveable Feast/Let Me Entertain You 39 Connected Vehicles 41 Mobility 44 Seamless Control 46 Onward 53 Summary 61 Chapter 3: The 5G Car 62 The Mobile Revolution 62 Intelligent Vehicles 66 The Internet of Vehicles 68 5G: The Internet Superhighway 69 Edge Computing Mobility 74 Summary 79 Chapter 4: On Brand 80 Preaching to the Converted 80 Brand Alchemy 82 Glamorama 83 F1: The Greatest Show on Earth 84 Brand Messaging: Aligned vs. Contrarian 86 Purpose: The New Twenty-First-Century Value 88 Branding for Redemption 89 Shifting Gears 92 Changing Lanes 95 Summary 98 Part II: From Transportation to Solving People’s Problems 99 Chapter 5: I.Am.Car 100 Beyond Transportation 100 From Functional to Aspirational 101 Humanizing Vehicles 104 Hooked on Cars 107 Nationalistic Assets 108 Summary 110 Chapter 6: Second Home 111 Letting Go 111 Safe Haven 113 Bringing the Ergonomics 114 The New Interiors 118 #MeToo 121 Sensorized Cabins 123 Summary 124 Chapter 7: Automation 126 Vehicular Autonomy 126 Electric Roads 128 AI-Based Autonomy 130 Wacky Autonomous Races 134 Taking It to the Streets 137 Levels of Autonomy 138 Autonomous Vehicle vs. Transport Robot 139 Autonomous Legalese 141 Summary 143 Chapter 8: Together in Electric Dreams 145 Why Go Electric Now? 145 The Long, Winding Road Toward Electric Vehicles 147 Storing Energy 149 Green Energy 152 Ctrl+Alt+Deleting Revenue Models 154 Tesla: The Outlier 156 Everybody Is Doin It, So Why Don’t Ya? 165 Summary 166 Part III: Your Car in the 2020 Decade 168 Chapter 9: Smart 169 Mindful, Thoughtful Vehicles 169 Seamlessly in Sync 172 e-Mobility Around the World 181 Summary 183 Chapter 10: Digital 186 Life Is Digital 186 Driver Data 188 Adapting Urban Planning to the New Mobility Paradigm 191 Driver Biometrics: The New Health Data Layer 196 Summary 201 Index 202 Nothing defined the 20th century more than the evolution of the car industry. The 2020 decade will see the automotive industry leap forward beyond simply moving people geographically toward a new purpose: to become a services industry. This book takes readers on a journey where cars will evolve towards becoming "computers on wheels." The automotive industry is one of the sectors most profoundly changed by digitalization and the 21st century energy needs. You'll explore the shifting paradigms and how cars today represent a new interpretation of what driving should be and what cars should offer. This book presents exciting case studies on how artificial intelligence (AI) and data analytics are used to design future cars, predict car efficiency, ensure safety and simulate engineering dynamics for its design, as well as a new arena for IoT and human data. It opens a window into the origins of cars becoming software-run machines, first to run internal diagnostics, and then to become machines connected to other external machines via Bluetooth, to finally the Internet via 5G. From transportation to solving people's problems, The Future of the Automotive Industry is less about the technology itself, but more about the outcomes of technology in the future, and the transformative power it has over a much beloved item: cars. You will: Explore smart cities and their evolution when it comes to traffic and vehicles Gain a new perspective on the future of cars and transportation based on how digital technologies will transform vehicles Examine how AI and IoT will create new contexts of interactions with drivers and passengers alike Review concepts such as personalizing the driving experience and how this will take form See how self-driving cars impact data mining of personal data
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