Description

Book Synopsis


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

Reimagining Businesses with AI

    Product form

    £24.79

    Includes FREE delivery

    RRP £30.99 – you save £6.20 (20%)

    Order before 4pm tomorrow for delivery by Wed 24 Jun 2026.

    A Hardback by Sudhi Sinha, Khaled Al Huraimel

    15 in stock


      View other formats and editions of Reimagining Businesses with AI by Sudhi Sinha

      Publisher: John Wiley & Sons Inc
      Publication Date: 26/11/2020
      ISBN13: 9781119709152, 978-1119709152
      ISBN10: 1119709156

      Description

      Book Synopsis


      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

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account