Humans are becoming more technical, and technology is becoming more human. The world of work will never be the same. Praise for ALL HANDS ON TECH "My research and consulting suggests that democratization of IT development is a powerful tool to help companies digitize their operations. This book is a great addition to the sparse literature on the citizen development topic." -- MARCO IANSITI, Harvard Business School Professor, Founder of Keystone.AI, and Author of Competing in the Age of AI "The democratization of digital and data is a crucial trend that no company can afford to overlook. As…mehr
Humans are becoming more technical, and technology is becoming more human. The world of work will never be the same. Praise for ALL HANDS ON TECH "My research and consulting suggests that democratization of IT development is a powerful tool to help companies digitize their operations. This book is a great addition to the sparse literature on the citizen development topic." -- MARCO IANSITI, Harvard Business School Professor, Founder of Keystone.AI, and Author of Competing in the Age of AI "The democratization of digital and data is a crucial trend that no company can afford to overlook. As developments in digital technology and AI continue to unfold, this trend will only gain further significance. All Hands on Tech offers a comprehensive overview of the field, along with practical advice and valuable insights on how to leverage these exciting advancements." -- NILS KAPPEYNE, VP, Architecture & Data at Shell (formerly VP DIY Software Development at Shell) "There is much talk on how application development will be transformed with Generative AI--the no-code, low-code, and traditional coding communities are all abuzz with how the future will be disruptive. Organizations that engage many of their employees in digital transformation will be more successful than those that rely solely on the IT function to do everything. This book is a well-documented and well-grounded guide to enabling digital transformation with 'citizen development.' If you want that broad engagement by 'citizens'--and you should--this book is an effective guide." -- USAMA FAYYAD, Executive Director, Institute for Experiential AI, Chairman & Founder of Open Insights "There is no doubt that AI is democratizing how we build applications, automations, and models. This book is an effective guide to how to achieve that democratization while minimizing risk and maximizing value to the organization." --NITIN MITTAL, Deloitte Global AI Leader, Co-Author of All in on AI "Workers are rapidly becoming AI-ready. Employers must rise to the moment and become citizen-ready. This invaluable book explores real-word examples, and describes how to equip 'all hands' to turn ideas into innovation. It's a must-read for citizens and enterprises alike!" -- PASCAL BORNET, Intelligent Automation Influencer, Author of Intelligent Automation and IRREPLACEABLEHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
THOMAS H. DAVENPORT is Distinguished Professor at Babson College, the Bodily Centennial Professor of Analytics at the UVA Darden School of Business, a Fellow at the MIT Initiative on the Digital Economy, and Senior Advisor to Deloitte. He's authored or co-authored 24 books, including Process Innovation, Working Knowledge, Competing on Analytics, and All In on AI. IAN BARKIN is a co-founder of 2B Ventures, an investment and advisory firm, and a serial entrepreneur in RPA and AI. He has an extensive background in BPO and digital operations. He co-authored the book Intelligent Automation and has multiple LinkedIn Learning courses on technology and business. CHASE DAVENPORT is focused on the intersection of artificial intelligence and climate change. After many years as an AI researcher at Accenture, Chase founded the Ocean Beach Institute to bring intelligent technology to coastal climate issues.
Inhaltsangabe
Preface xv Introduction xxvii Part 1 Background, History, and Context 1 Chapter 1 Why Citizen Development Is Inevitable 3 What Are Citizens? 4 Why Is Citizen Development Growing? 6 The Front Lines of Digitalization 9 Monarchy, Federalism, or Anarchy? 12 Like Seemingly Everything Else, Citizen Development Is Social 14 Making Citizen Development Safe and Effective 16 Generative AI and the Future of Citizen Development 18 Chapter 2 A History of Citizen-Led Innovation 21 Outsiders and Insiders in Business Improvement 21 The Open Innovation/Crowdsourcing Movement 23 Open Source in Software 25 The Maker Movement 26 The Growth of Citizen Science-Starting with Ornithology 28 A Slow but Pronounced Shift 30 Chapter 3 The Citizen Journey 33 Diverse Journeys 33 Initial Capabilities 34 Automation Comes Next 36 The Journey to More Sophisticated Analytics 36 The Citizen's Career in a Large Organization-for a While 37 Citizen Data Science in an Organization That Welcomes Them 40 A More Dramatic Career Transformation 41 The Citizen as Rogue Agent 43 The Citizen as Entrepreneur 44 A Citizen Data Science Startup 46 Part 2 Calling All Hands 49 Chapter 4 Citizen Development Using Low-Code/ No-Code Tools 51 How Did We Get Here? 53 It's Not Just Citizens 53 What Can an Organization Do with Low-Code/ No-Code? 54 Citizen/Professional Collaboration and Fusion Teams 56 Generative AI as a No-Code Solution 58 How to Succeed with Low-Code/No-Code 59 Management Challenges with Low-Code/No-Code 60 Chapter 5 Citizen Automation 63 Citizen Automator 64 Types of Work Well-Suited to Automation 64 Integrating Between Systems as Human APIs 65 Performing a Series of Tasks: Workflow 67 Making Decisions Based on Defined Rules 68 The Offices Where Automation Plays 69 Back Office 69 Front Office 69 Middle Office 70 The Origin Story of Broad Automation Adoption 70 Who Is a Citizen Automator? 72 Where Does Citizen Automation Belong? 73 What Is the Upside of Citizen Automation? 74 Idea/Execution Overlap 74 Prototyping the Future State 75 Increased Speed 76 Employee Experience and Loyalty 77 Fostering Cross-Departmental Innovation 77 What Can Go Wrong? 78 Overhyped and Under-Delivered 78 Paving Cow Paths 78 Technical Debt 79 The Future of Citizen Automation 80 Chapter 6 Citizen Data Science 81 Citizen Data Analysis 82 True Citizen Data Science 85 What Is the Upside of True Citizen Data Science? 87 What Kinds of People Become Citizen Data Scientists? 88 What Can Go Wrong? 90 What Kinds of Problems Should Citizen Data Scientists Take On? 92 Citizen Data Science for Generative AI 93 Citizen Data Science and Data Flow Automation 95 How Can Citizen Data Scientists Work in Data Science Teams? 96 How Will the Citizen Data Scientist Role Evolve Over Time? 98 Chapter 7 The Skills and Personality of Citizens 101 Workers of the Future, in the Future of Work 101 Personality Traits of a Citizen Developer 103 Passion 103 Curiosity and Willingness to Learn 104 Perseverance and Grit 105 Creativity and Innovation 106 Mindset 107 Entrepreneurial Mindset 107 Computational Mindset 108 Hybrid Mindset 109 Skills of the Future 109 Skills of Citizen Developers 110 Domain-Specific Skills 111 Literacies 112 Data Literacy 112 Analytics Literacy 113 Digital Literacy 115 Technical Skills 116 Human Relationship Skills 119 Communication and Collaboration Skills 120 Political Skills 121 The Final Tally 121 Chapter 8 The Citizen Champion: With and Without Air Cover 123 Shell: High Air Cover 124 Dentsu and Tinuiti: Air Cover, but Citizen Focus When Ready 125 Arcadis: Growing Air Cover Over Time 126 Quiet Growth in Citizen Development at Amtrak 128 Lessons from Citizen Development Champions 130 The Long-Term Fate of Citizen Development Champions 132 Part 3 Getting to Work 133 Chapter 9 The Citizen Tech Landscape 135 Information Technology Is Important-Duh! 136 What Makes a Tool Citizen-Ready? 136 The Evolution of Programming Languages 137 Current Citizen Tools and Platform Landscape 138 Low-Code/No-Code Application Platforms for Citizen Development 138 Citizen Automation Technologies 139 Robotic Process Automation for Execution 141 IDP: Helping RPA See 142 Other Tools in the Automation Stack 143 Citizen Data Science Technologies 143 New Developments for Citizens in Business Intelligence 145 The Generative AI Era of Citizen Development 147 Chapter 10 Benefits of Citizen Development 151 Targeting and Scaling Improvement Benefits 152 Innovation and Experimentation Benefits 155 Chapter 11 The Organizational Response to Citizen Technology 161 The Two Stereotypical Positions 161 Beyond the IT Resistance Stereotype 163 An Emerging Third Party 165 "Governance" of Citizen Technologies 167 Citizen Technology in Highly Regulated Businesses 170 Putting It All Together: Balancing Risk and Reward 172 Part 4 Setting Sail 175 Chapter 12 Preparing to Set Sail 177 Maturity Models 178 Citizen Development Maturity Model 178 Stage 0: Random Acts of Citizenry 179 Stage 1: Awareness 179 Stage 2: Acceptance and Focused Exploration 180 Stage 3: Formal Adoption 180 Stage 4: Industrialization 181 Stage 5: Absorption 181 Cast of Characters 182 Leading Roles 182 Citizen Developers 183 Citizen Automators 183 Citizen Data Scientists 184 A Citizen by Any Other Name 184 Supporting Roles 184 Citizen Champion 184 Citizen Coach 184 Citizen Librarian 184 Stakeholders 185 The 4G Approach to Citizen-Readiness 186 Chapter 13 Genesis 187 Genesis Fork 1: Submit or Just Commit 187 Submit, Then Commit 188 Commit 189 Fork 2: Create or Orchestrate 190 Create Your Citizenry 191 Orchestrate Your Citizenry 192 Fork 3: Revolution or Evolution 193 Revolution 193 Evolution 194 Starting Strong with the Fundamentals 195 Benefits 195 Talent 197 Key Performance Indicators 197 Chapter 14 Governance 201 Fork 4: Tolerate Risk or Avoid Risk 202 Risk Tolerance 202 Risk Avoidance 203 Fork 5: Bottom Up vs. Top Down 204 Top-Down Governance 204 Bottom-Up Governance 205 Fork 6: Centralize or Federate 206 Centralized Governance 207 Federated Governance 207 Enabling a Successful Voyage 209 Risks 209 Organizational Structure 211 Governance Models 212 Chapter 15 Guidance 215 Fork 7: Solo or in Teams 215 Go Alone 215 Go Together 216 Fork 8: Direct or Explore 217 Direct Instruction 218 Project-Based Learning 219 Nurturing the Crew 220 Training 220 Levels of Citizen Certification 221 Citizen Lite 224 Community Building 224 Ideation and Creativity 224 Chapter 16 Guardrails 227 Fork 9: Stewards or Shields 228 Stewards 228 Shields 229 Facilitating Best Behaviors 230 Human Guardrails 230 Automated Guardrails 231 Financial Guardrails 231 Chapter 17 The Future of Citizen Development 235 Citizen Development: Too Pervasive to Have a Name? 236 The Future of the IT Function and IT People 237 Coaching and Assessing, Not Developing 238 Ultimate Fusion 239 Broader Tech and Data Leadership 240 The Role of AI 241 Appendix A Citizen-Ready Checklist 245 Preparing to Set Sail 245 Genesis 246 Governance 247 Guidance 248 Guardrails 250 Appendix B Citizen Development Challenges Organizations Are Likely to Face 253 Appendix C Additional Resources 255 Acknowledgments 257 About the Authors 259 Index 261
Preface xv Introduction xxvii Part 1 Background, History, and Context 1 Chapter 1 Why Citizen Development Is Inevitable 3 What Are Citizens? 4 Why Is Citizen Development Growing? 6 The Front Lines of Digitalization 9 Monarchy, Federalism, or Anarchy? 12 Like Seemingly Everything Else, Citizen Development Is Social 14 Making Citizen Development Safe and Effective 16 Generative AI and the Future of Citizen Development 18 Chapter 2 A History of Citizen-Led Innovation 21 Outsiders and Insiders in Business Improvement 21 The Open Innovation/Crowdsourcing Movement 23 Open Source in Software 25 The Maker Movement 26 The Growth of Citizen Science-Starting with Ornithology 28 A Slow but Pronounced Shift 30 Chapter 3 The Citizen Journey 33 Diverse Journeys 33 Initial Capabilities 34 Automation Comes Next 36 The Journey to More Sophisticated Analytics 36 The Citizen's Career in a Large Organization-for a While 37 Citizen Data Science in an Organization That Welcomes Them 40 A More Dramatic Career Transformation 41 The Citizen as Rogue Agent 43 The Citizen as Entrepreneur 44 A Citizen Data Science Startup 46 Part 2 Calling All Hands 49 Chapter 4 Citizen Development Using Low-Code/ No-Code Tools 51 How Did We Get Here? 53 It's Not Just Citizens 53 What Can an Organization Do with Low-Code/ No-Code? 54 Citizen/Professional Collaboration and Fusion Teams 56 Generative AI as a No-Code Solution 58 How to Succeed with Low-Code/No-Code 59 Management Challenges with Low-Code/No-Code 60 Chapter 5 Citizen Automation 63 Citizen Automator 64 Types of Work Well-Suited to Automation 64 Integrating Between Systems as Human APIs 65 Performing a Series of Tasks: Workflow 67 Making Decisions Based on Defined Rules 68 The Offices Where Automation Plays 69 Back Office 69 Front Office 69 Middle Office 70 The Origin Story of Broad Automation Adoption 70 Who Is a Citizen Automator? 72 Where Does Citizen Automation Belong? 73 What Is the Upside of Citizen Automation? 74 Idea/Execution Overlap 74 Prototyping the Future State 75 Increased Speed 76 Employee Experience and Loyalty 77 Fostering Cross-Departmental Innovation 77 What Can Go Wrong? 78 Overhyped and Under-Delivered 78 Paving Cow Paths 78 Technical Debt 79 The Future of Citizen Automation 80 Chapter 6 Citizen Data Science 81 Citizen Data Analysis 82 True Citizen Data Science 85 What Is the Upside of True Citizen Data Science? 87 What Kinds of People Become Citizen Data Scientists? 88 What Can Go Wrong? 90 What Kinds of Problems Should Citizen Data Scientists Take On? 92 Citizen Data Science for Generative AI 93 Citizen Data Science and Data Flow Automation 95 How Can Citizen Data Scientists Work in Data Science Teams? 96 How Will the Citizen Data Scientist Role Evolve Over Time? 98 Chapter 7 The Skills and Personality of Citizens 101 Workers of the Future, in the Future of Work 101 Personality Traits of a Citizen Developer 103 Passion 103 Curiosity and Willingness to Learn 104 Perseverance and Grit 105 Creativity and Innovation 106 Mindset 107 Entrepreneurial Mindset 107 Computational Mindset 108 Hybrid Mindset 109 Skills of the Future 109 Skills of Citizen Developers 110 Domain-Specific Skills 111 Literacies 112 Data Literacy 112 Analytics Literacy 113 Digital Literacy 115 Technical Skills 116 Human Relationship Skills 119 Communication and Collaboration Skills 120 Political Skills 121 The Final Tally 121 Chapter 8 The Citizen Champion: With and Without Air Cover 123 Shell: High Air Cover 124 Dentsu and Tinuiti: Air Cover, but Citizen Focus When Ready 125 Arcadis: Growing Air Cover Over Time 126 Quiet Growth in Citizen Development at Amtrak 128 Lessons from Citizen Development Champions 130 The Long-Term Fate of Citizen Development Champions 132 Part 3 Getting to Work 133 Chapter 9 The Citizen Tech Landscape 135 Information Technology Is Important-Duh! 136 What Makes a Tool Citizen-Ready? 136 The Evolution of Programming Languages 137 Current Citizen Tools and Platform Landscape 138 Low-Code/No-Code Application Platforms for Citizen Development 138 Citizen Automation Technologies 139 Robotic Process Automation for Execution 141 IDP: Helping RPA See 142 Other Tools in the Automation Stack 143 Citizen Data Science Technologies 143 New Developments for Citizens in Business Intelligence 145 The Generative AI Era of Citizen Development 147 Chapter 10 Benefits of Citizen Development 151 Targeting and Scaling Improvement Benefits 152 Innovation and Experimentation Benefits 155 Chapter 11 The Organizational Response to Citizen Technology 161 The Two Stereotypical Positions 161 Beyond the IT Resistance Stereotype 163 An Emerging Third Party 165 "Governance" of Citizen Technologies 167 Citizen Technology in Highly Regulated Businesses 170 Putting It All Together: Balancing Risk and Reward 172 Part 4 Setting Sail 175 Chapter 12 Preparing to Set Sail 177 Maturity Models 178 Citizen Development Maturity Model 178 Stage 0: Random Acts of Citizenry 179 Stage 1: Awareness 179 Stage 2: Acceptance and Focused Exploration 180 Stage 3: Formal Adoption 180 Stage 4: Industrialization 181 Stage 5: Absorption 181 Cast of Characters 182 Leading Roles 182 Citizen Developers 183 Citizen Automators 183 Citizen Data Scientists 184 A Citizen by Any Other Name 184 Supporting Roles 184 Citizen Champion 184 Citizen Coach 184 Citizen Librarian 184 Stakeholders 185 The 4G Approach to Citizen-Readiness 186 Chapter 13 Genesis 187 Genesis Fork 1: Submit or Just Commit 187 Submit, Then Commit 188 Commit 189 Fork 2: Create or Orchestrate 190 Create Your Citizenry 191 Orchestrate Your Citizenry 192 Fork 3: Revolution or Evolution 193 Revolution 193 Evolution 194 Starting Strong with the Fundamentals 195 Benefits 195 Talent 197 Key Performance Indicators 197 Chapter 14 Governance 201 Fork 4: Tolerate Risk or Avoid Risk 202 Risk Tolerance 202 Risk Avoidance 203 Fork 5: Bottom Up vs. Top Down 204 Top-Down Governance 204 Bottom-Up Governance 205 Fork 6: Centralize or Federate 206 Centralized Governance 207 Federated Governance 207 Enabling a Successful Voyage 209 Risks 209 Organizational Structure 211 Governance Models 212 Chapter 15 Guidance 215 Fork 7: Solo or in Teams 215 Go Alone 215 Go Together 216 Fork 8: Direct or Explore 217 Direct Instruction 218 Project-Based Learning 219 Nurturing the Crew 220 Training 220 Levels of Citizen Certification 221 Citizen Lite 224 Community Building 224 Ideation and Creativity 224 Chapter 16 Guardrails 227 Fork 9: Stewards or Shields 228 Stewards 228 Shields 229 Facilitating Best Behaviors 230 Human Guardrails 230 Automated Guardrails 231 Financial Guardrails 231 Chapter 17 The Future of Citizen Development 235 Citizen Development: Too Pervasive to Have a Name? 236 The Future of the IT Function and IT People 237 Coaching and Assessing, Not Developing 238 Ultimate Fusion 239 Broader Tech and Data Leadership 240 The Role of AI 241 Appendix A Citizen-Ready Checklist 245 Preparing to Set Sail 245 Genesis 246 Governance 247 Guidance 248 Guardrails 250 Appendix B Citizen Development Challenges Organizations Are Likely to Face 253 Appendix C Additional Resources 255 Acknowledgments 257 About the Authors 259 Index 261
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