AI-Driven Project Management

Book description

Accelerate your next project with artificial intelligence and ChatGPT

In AI-Driven Project Management: Harnessing the Power of Artificial Intelligence and ChatGPT to Achieve Peak Productivity and Success, veteran IT and project management advisor Kristian Bainey delivers an insightful collection of strategies for automating the administration and management of projects. In the book, the author focuses on four key areas where project leaders can achieve improved results with AI's data-centric capabilities: minimizing surprises, minimizing bias, increasing standards, and accelerating decision making.

You'll also find:

  • Primers on the role of AI and ChatGPT in Agile, Hybrid, and Predictive approaches to project management
  • How to accurately forecast a project with ChatGPT
  • Techniques for crafting impactful AI strategy using AI project management principles

Perfect for managers, executives, and business leaders everywhere, AI-Driven Project Management is also a must-read for project management professionals, tech professionals and enthusiasts, and anyone else interested in the intersection of artificial intelligence, machine learning, and project management.

Table of contents

  1. Cover
  2. Table of Contents
  3. Title Page
  4. Foreword
  5. Introduction
    1. Who Should Read This Book?
    2. How To Use This Book
  6. Part I: Foundations of AI in Project Management
    1. CHAPTER 1: Introducing ChatGPT: The AI Revolution in Project Management
      1. Evolution of AI
    2. CHAPTER 2: AI-Driven Project Management (PM-AI)
    3. CHAPTER 3: AI-Driven Predictive Approach to Project Management
      1. The Initiating Process Phase
      2. The Planning Process Phase
      3. The Executing Process Phase
      4. The Monitoring and Controlling Process Phase
      5. The Closing Process Phase
      6. The Benefits and Limitations of Using a Predictive Approach in AI
    4. CHAPTER 4: AI-Driven Agile and Hybrid Approaches to Project Management
      1. The Concept Phase
      2. The Initiating Phase
      3. The Planning and Design Phase
      4. The Iterative Development (Sprint and Cycles) Phase
      5. The Release and Transition Phase
      6. The Deployment Phase
      7. AI-Driven Hybrid Approach in Project Management
      8. The Concept and Initiating Phase
      9. The Planning and Design Phase
      10. The Iterative Development and Testing phase
      11. The Deployment and Closing Phase
      12. Benefits and Limitations of Using an Agile or Hybrid Approach
    5. CHAPTER 5: The Implications of AI in Project Management
    6. CHAPTER 6: Navigating Ethical Challenges in PM-AI
      1. Addressing Inclusivity
      2. Accountability
      3. Training Data and Ethical Implications
      4. Transparency and Trust
    7. Part I: Conclusion
      1. Key Takeaways
      2. Thought-Provoking Questions
      3. Multiple Choice Questions
  7. Part II: Unleashing the Power of ChatGPT
    1. CHAPTER 7: Using ChatGPT
      1. The Chat Interface
      2. How Does ChatGPT Work?
    2. CHAPTER 8: Transforming Communication with ChatGPT
      1. Project Inquiries and Faster Information Gathering
      2. Simplifying Internal Communications and Agendas
      3. Documenting and Archiving Communications
    3. CHAPTER 9: Risk, Ethics, Prediction, and Decision Making in AI Projects
      1. Revolutionizing Decision Making with ChatGPT
      2. Risks and Ethics of Using Prediction for Decision Making
      3. Human-in-the-Loop
    4. Part II: Conclusion
      1. Key Takeaways
      2. Thought-Provoking Questions
      3. Multiple Choice Questions
  8. Part III: Mastering Prompt Engineering in Project Management with ChatGPT
    1. CHAPTER 10: Prompt Engineering for Project Managers
      1. What Is Prompt Engineering?
      2. Prompt Engineering: Real-World Use Cases for Project Managers
    2. CHAPTER 11: Unlocking ChatGPT Tips and Tricks
    3. Part III: Conclusion
      1. Key Takeaways
      2. Thought-Provoking Questions
      3. Multiple Choice Questions
  9. Part IV: AI in Action: Practical Applications for Project Management
    1. CHAPTER 12: Accurate Project Forecasting with ChatGPT
    2. CHAPTER 13: Learning and Development Powered by ChatGPT
      1. Personalized Learning
      2. Professional Development and Training
      3. Scalability of Educational Resources
      4. Enhancing Accessibility
    3. CHAPTER 14: AI and Human Talent in Projects: A Harmonious Blend
      1. AI Chatbots in People Management
      2. The Rise of People Soft Skills in PM-AI
    4. Part IV: Conclusion
      1. Key Takeaways
      2. Thought-Provoking Questions
      3. Multiple Choice Questions
  10. Part V: Secure AI Implementation Strategies: Principles, AI Model Integration, and PM-AI Opportunities
    1. CHAPTER 15: Security and Privacy in AI Model Integration
      1. Strategic Integration of AI in Cybersecurity
      2. AI and Data Security
      3. Ethical Implications and Privacy Concerns
      4. Regulations
    2. CHAPTER 16: AI Strategic Project Management Principles
      1. Eight Principles for Organizational AI Model Integration
    3. CHAPTER 17: Fine-Tuning and Customizing AI Models for Organizational Benefits
      1. Fine-Tuning AI Models for Organizations
      2. Six Layers of the AI Model Development Lifecycle
      3. Key Considerations for First-Time AI Implementation
    4. CHAPTER 18: Realizing ChatGPT's Limitations for Project Management
      1. Limited Analysis of Words per Interaction
      2. Navigating the Do's and Don'ts
    5. Part V: Conclusion
      1. Key Takeaways
      2. Thought-Provoking Questions
      3. Multiple Choice Questions
  11. Part VI: The Future of Project Management and AI
    1. CHAPTER 19: The Future Impact of AI in Project Management and Expertise
      1. The Rise of Multimodals
      2. Areas of Expertise for Project Managers in PM-AI
      3. Moving Forward
    2. Part VI: Conclusion
      1. Key Takeaways
      2. Thought-Provoking Questions
      3. Multiple Choice Questions
  12. Answer Key to Multiple Choice Questions
  13. References
    1. Part I: Foundations of AI in Project Management
    2. Part II: Unleashing the Power of ChatGPT
    3. Part III: Mastering Prompt Engineering in Project Management with ChatGPT
    4. Part IV: AI in Action: Practical Applications for Project Management
    5. Part V: Secure AI Implementation Strategies: Principles, AI Model Integration, and PM-AI Opportunities
    6. Part VI: The Future of Project Management and AI
  14. Index
  15. Copyright
  16. Dedication
  17. About the Author
  18. About the Technical Proofreaders
  19. Acknowledgments
  20. End User License Agreement

Product information

  • Title: AI-Driven Project Management
  • Author(s): Kristian Bainey
  • Release date: April 2024
  • Publisher(s): Wiley
  • ISBN: 9781394232215