Discover what AI can do for your business with this approachable and comprehensive resource
Reimagining Businesses with AI acquaints readers with both the business challenges and opportunities presented by the rapid growth and progress of artificial intelligence. The accomplished authors and digital executives of the book provide you with a multi-industry approach to understanding the intersection of AI and business.
The book walks you through the process of recognizing and capitalizing on AI’s potential for your own business. The authors describe:
- How to build a technological foundation that allows for the rapid implementation of artificial intelligence
- How to manage the disruptive nature of powerful technology while simultaneously harnessing its capabilities
- The ethical implications and security and privacy concerns raised by the spread of AI
Perfect for business executives and managers who seek a jargon-free and approachable manual on how to implement artificial intelligence in everyday operations, Reimagining Businesses with AI also belongs on the bookshelves of anyone curious about the interaction between artificial intelligence and business.
Table of Contents
Acknowledgments xi
Chapter 1: Introduction 1
Evolution of AI 3
AI and Its Branches 9
A Bit about Algorithms 11
Critical Success Factors for AI Initiatives 12
Purpose and Structure of the Book 13
References 14
Chapter 2: Building a Framework for Applying AI 15
Introduction 15
Identifying the Future State 18
Building the Technology Strategy 23
Defining the Business Case 24
Creating the Solution Roadmap 27
Identifying AI Capabilities 28
Establishing a Governance Process 29
Summary 31
References 32
Chapter 3: Transforming Healthcare with AI 33
Introduction 33
Understanding the Macroscopic Factors Driving Smart Capabilities in the Future of the Healthcare Industry 35
The Critical Role of AI in the Healthcare of the Future 38
Personal Health Cloud 40
Smart Hospitals of the Future 42
AI Applications in Healthcare 46
Business Models of the Future in Healthcare 51
Summary 52
References 54
Chapter 4: Transforming Education with AI 55
Introduction 55
Improving Performance through a Learning Ecosystem 57
Understanding the Macroscopic Factors Driving Smart Techniques in the Future of the Education Industry 59
The Critical Role of AI in the Education of the Future 62
The Changing Landscape of Learning at Various Levels 70
Executive Education in AI 74
Summary 76
References 77
Chapter 5: Transforming Transportation with AI 79
Introduction 79
Understanding the Macroscopic Factors Influencing the Future of the Transportation Industry 81
How AI Will Change the Transportation Industry of the Future 83
Impact of Autonomous Driving Beyond Transportation 92
Summary 93
References 94
Chapter 6: Transforming Retail with AI 95
Introduction 95
Understanding How and Why the Retail Industry Has Been Changing 96
How AI Will Change the Retail Industry of the Future 99
Summary 110
References 111
Chapter 7: Transforming Financial Services with AI 113
Introduction 113
How AI Will Change the Financial Services Industry of the Future 114
Summary 122
References 124
Chapter 8: Transforming the Built Environment with AI 125
Introduction 125
Understanding Why the Built Environment Is Changing 127
Defining a Digital Building 132
How AI Will Change the Built Environment of the Future 135
The Future of Building Systems and Technologies with AI 144
Summary 148
Chapter 9: Transforming Smart Cities with AI 151
Introduction 151
Enablers for AI in Smart Cities 153
Applications of AI in Smart Cities 156
Best Practices for AI Initiatives in Smart Cities 162
References 166
Chapter 10: Transforming Government and Citizen Services with AI 167
Introduction 167
How AI Will Change the Government and Citizen Services of the Future 169
Creating a National AI Agenda 175
Summary 177
Chapter 11: Building the Right Technology Landscape 179
Introduction 179
The Data Platform for AI 180
Analytical Engine 185
Multi-agent Systems and AI 186
Adaptive User Experiences 188
Software-Defined General-Purpose Gateways 189
Technology Partner Ecosystem 190
Summary 190
Chapter 12: Dealing with Ethics, Privacy, and Security 193
Introduction 193
Ethics 194
Privacy 197
Cybersecurity 199
AI in Cyber-Defense 204
Summary 205
References 206
Chapter 13: Building the Partner Ecosystem for AI-Driven Transformation 207
Introduction 207
Building the Partner Strategy 208
Developing the Three-Dimensional Capability Model 214
Building a Partner Selection Framework 215
Managing Partner Engagements 218
Monitoring Partner Effectiveness 222
Summary 223
Chapter 14: Building Winning Teams for AI-Driven Transformation 225
Introduction 225
Identifying What Makes AI-Driven Digital Businesses Different 226
Building the Key Capabilities 227
Solving the Leadership Question: CDO/CIO/CTO? 234
Organizing Teams for Success 237
Motivating the Individuals and Managing the teams 240
Summary 242
References 243
Chapter 15: Managing Change for AI-Driven Transformation 245
Introduction 245
Understanding Changes Caused by AI 246
The Significance of Changes 248
Applying the IMMERSE Framework for Managing Change 249
Creating Stakeholder-Groups to Drive Change 255
Preventing Barriers to Change Management 256
Summary 257
References 258
About the Authors 259
Index 261
