Reimagining Businesses with AI

SUDHI SINHA is a business and technology leader with over two decades of international experience. He currently advises several multinational and startup organizations on product, business, and technology strategy. He previously served as the GM and VP of Digital Solutions for Johnson Controls as well as leading many technology businesses for that organization. KHALED AL HURAIMEL is the Group CEO of Bee'ah, the Middle East's sustainability pioneer. He is the architect of that organization's twin-pillared strategy that integrates digitalization into sustainability and the driving force behind its ventures that range from circular economy projects to renewable energy and sustainable transportation.

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