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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

  1. Cover
  2. Acknowledgments
  3. CHAPTER 1: Introduction
    1. EVOLUTION OF AI
    2. AI AND ITS BRANCHES
    3. A BIT ABOUT ALGORITHMS
    4. CRITICAL SUCCESS FACTORS FOR AI INITIATIVES
    5. PURPOSE AND STRUCTURE OF THE BOOK
    6. REFERENCES
  4. CHAPTER 2: Building a Framework for Applying AI
    1. INTRODUCTION
    2. IDENTIFYING THE FUTURE STATE
    3. BUILDING THE TECHNOLOGY STRATEGY
    4. DEFINING THE BUSINESS CASE
    5. CREATING THE SOLUTION ROADMAP
    6. IDENTIFYING AI CAPABILITIES
    7. ESTABLISHING A GOVERNANCE PROCESS
    8. SUMMARY
    9. REFERENCES
  5. CHAPTER 3: Transforming Healthcare with AI
    1. INTRODUCTION
    2. UNDERSTANDING THE MACROSCOPIC FACTORS DRIVING SMART CAPABILITIES IN THE FUTURE OF THE HEALTHCARE INDUSTRY
    3. THE CRITICAL ROLE OF AI IN THE HEALTHCARE OF THE FUTURE
    4. PERSONAL HEALTH CLOUD
    5. SMART HOSPITALS OF THE FUTURE
    6. AI APPLICATIONS IN HEALTHCARE
    7. BUSINESS MODELS OF THE FUTURE IN HEALTHCARE
    8. SUMMARY
    9. REFERENCES
  6. CHAPTER 4: Transforming Education with AI
    1. INTRODUCTION
    2. IMPROVING PERFORMANCE THROUGH A LEARNING ECOSYSTEM
    3. UNDERSTANDING THE MACROSCOPIC FACTORS DRIVING SMART TECHNIQUES IN THE FUTURE OF THE EDUCATION INDUSTRY
    4. THE CRITICAL ROLE OF AI IN THE EDUCATION OF THE FUTURE
    5. THE CHANGING LANDSCAPE OF LEARNING AT VARIOUS LEVELS
    6. EXECUTIVE EDUCATION IN AI
    7. SUMMARY
    8. REFERENCES
  7. CHAPTER 5: Transforming Transportation with AI
    1. INTRODUCTION
    2. UNDERSTANDING THE MACROSCOPIC FACTORS INFLUENCING THE FUTURE OF THE TRANSPORTATION INDUSTRY
    3. HOW AI WILL CHANGE THE TRANSPORTATION INDUSTRY OF THE FUTURE
    4. IMPACT OF AUTONOMOUS DRIVING BEYOND TRANSPORTATION
    5. SUMMARY
    6. REFERENCES
  8. CHAPTER 6: Transforming Retail with AI
    1. INTRODUCTION
    2. UNDERSTANDING HOW AND WHY THE RETAIL INDUSTRY HAS BEEN CHANGING
    3. HOW AI WILL CHANGE THE RETAIL INDUSTRY OF THE FUTURE
    4. SUMMARY
    5. REFERENCES
  9. CHAPTER 7: Transforming Financial Services with AI
    1. INTRODUCTION
    2. HOW AI WILL CHANGE THE FINANCIAL SERVICES INDUSTRY OF THE FUTURE
    3. SUMMARY
    4. REFERENCES
  10. CHAPTER 8: Transforming the Built Environment with AI
    1. INTRODUCTION
    2. UNDERSTANDING WHY THE BUILT ENVIRONMENT IS CHANGING
    3. DEFINING A DIGITAL BUILDING
    4. HOW AI WILL CHANGE THE BUILT ENVIRONMENT OF THE FUTURE
    5. THE FUTURE OF BUILDING SYSTEMS AND TECHNOLOGIES WITH AI
    6. SUMMARY
  11. CHAPTER 9: Transforming Smart Cities with AI
    1. INTRODUCTION
    2. ENABLERS FOR AI IN SMART CITIES
    3. APPLICATIONS OF AI IN SMART CITIES
    4. BEST PRACTICES FOR AI INITIATIVES IN SMART CITIES
    5. REFERENCES
  12. CHAPTER 10: Transforming Government and Citizen Services with AI
    1. INTRODUCTION
    2. HOW AI WILL CHANGE THE GOVERNMENT AND CITIZEN SERVICES OF THE FUTURE
    3. CREATING A NATIONAL AI AGENDA
    4. SUMMARY
  13. CHAPTER 11: Building the Right Technology Landscape
    1. INTRODUCTION
    2. THE DATA PLATFORM FOR AI
    3. ANALYTICAL ENGINE
    4. MULTI-AGENT SYSTEMS AND AI
    5. ADAPTIVE USER EXPERIENCES
    6. SOFTWARE-DEFINED GENERAL-PURPOSE GATEWAYS
    7. TECHNOLOGY PARTNER ECOSYSTEM
    8. SUMMARY
  14. CHAPTER 12: Dealing with Ethics, Privacy, and Security
    1. INTRODUCTION
    2. ETHICS
    3. PRIVACY
    4. CYBERSECURITY
    5. AI IN CYBER-DEFENSE
    6. SUMMARY
    7. REFERENCES
  15. CHAPTER 13: Building the Partner Ecosystem for AI-Driven Transformation
    1. INTRODUCTION
    2. BUILDING THE PARTNER STRATEGY
    3. DEVELOPING THE THREE-DIMENSIONAL CAPABILITY MODEL
    4. BUILDING A PARTNER SELECTION FRAMEWORK
    5. MANAGING PARTNER ENGAGEMENTS
    6. MONITORING PARTNER EFFECTIVENESS
    7. SUMMARY
  16. CHAPTER 14: Building Winning Teams for AI-Driven Transformation
    1. INTRODUCTION
    2. IDENTIFYING WHAT MAKES AI-DRIVEN DIGITAL BUSINESSES DIFFERENT
    3. BUILDING THE KEY CAPABILITIES
    4. SOLVING THE LEADERSHIP QUESTION: CDO/CIO/CTO?
    5. ORGANIZING TEAMS FOR SUCCESS
    6. MOTIVATING THE INDIVIDUALS AND MANAGING THE TEAMS
    7. SUMMARY
    8. REFERENCES
  17. CHAPTER 15: Managing Change for AI-Driven Transformation
    1. INTRODUCTION
    2. UNDERSTANDING CHANGES CAUSED BY AI
    3. THE SIGNIFICANCE OF CHANGES
    4. APPLYING THE IMMERSE FRAMEWORK FOR MANAGING CHANGE
    5. CREATING STAKEHOLDER-GROUPS TO DRIVE CHANGE
    6. PREVENTING BARRIERS TO CHANGE MANAGEMENT
    7. SUMMARY
    8. REFERENCES
  18. About the Authors
  19. Index
  20. End User License Agreement