AI-driven project management : harnessing the power of artificial intelligence and ChatGPT to achieve peak productivity and success /
Artificial intelligence driven project management.
Kristian Bainey.
- xxv, 358 pages : illustrations; 24 cm
Table of Contents Title Page Foreword Introduction Who Should Read This Book? How To Use This Book Part I: Foundations of AI in Project Management CHAPTER 1: Introducing ChatGPT: The AI Revolution in Project Management Evolution of AI CHAPTER 2: AI-Driven Project Management (PM-AI) CHAPTER 3: AI-Driven Predictive Approach to Project Management The Initiating Process Phase The Planning Process Phase The Executing Process Phase The Monitoring and Controlling Process Phase The Closing Process Phase The Benefits and Limitations of Using a Predictive Approach in AI CHAPTER 4: AI-Driven Agile and Hybrid Approaches to Project Management The Concept Phase The Initiating Phase The Planning and Design Phase The Iterative Development (Sprint and Cycles) Phase The Release and Transition Phase The Deployment Phase AI-Driven Hybrid Approach in Project Management The Concept and Initiating Phase The Planning and Design Phase The Iterative Development and Testing phase The Deployment and Closing Phase Benefits and Limitations of Using an Agile or Hybrid Approach CHAPTER 5: The Implications of AI in Project Management CHAPTER 6: Navigating Ethical Challenges in PM-AI Addressing Inclusivity Accountability Training Data and Ethical Implications Transparency and Trust Part I: Conclusion Key Takeaways Thought-Provoking Questions Multiple Choice Questions Part II: Unleashing the Power of ChatGPT CHAPTER 7: Using ChatGPT The Chat Interface How Does ChatGPT Work? CHAPTER 8: Transforming Communication with ChatGPT Project Inquiries and Faster Information Gathering Simplifying Internal Communications and Agendas Documenting and Archiving Communications CHAPTER 9: Risk, Ethics, Prediction, and Decision Making in AI Projects Revolutionizing Decision Making with ChatGPT Risks and Ethics of Using Prediction for Decision Making Human-in-the-Loop Part II: Conclusion Key Takeaways Thought-Provoking Questions Multiple Choice Questions Part III: Mastering Prompt Engineering in Project Management with ChatGPT CHAPTER 10: Prompt Engineering for Project Managers What Is Prompt Engineering? Prompt Engineering: Real-World Use Cases for Project Managers CHAPTER 11: Unlocking ChatGPT Tips and Tricks Part III: Conclusion Key Takeaways Thought-Provoking Questions Multiple Choice Questions Part IV: AI in Action: Practical Applications for Project Management CHAPTER 12: Accurate Project Forecasting with ChatGPT CHAPTER 13: Learning and Development Powered by ChatGPT Personalized Learning Professional Development and Training Scalability of Educational Resources Enhancing Accessibility CHAPTER 14: AI and Human Talent in Projects: A Harmonious Blend AI Chatbots in People Management The Rise of People Soft Skills in PM-AI Part IV: Conclusion Key Takeaways Thought-Provoking Questions Multiple Choice Questions Part V: Secure AI Implementation Strategies: Principles, AI Model Integration, and PM-AI Opportunities CHAPTER 15: Security and Privacy in AI Model Integration Strategic Integration of AI in Cybersecurity AI and Data Security Ethical Implications and Privacy Concerns Regulations CHAPTER 16: AI Strategic Project Management Principles Eight Principles for Organizational AI Model Integration CHAPTER 17: Fine-Tuning and Customizing AI Models for Organizational Benefits Fine-Tuning AI Models for Organizations Six Layers of the AI Model Development Lifecycle Key Considerations for First-Time AI Implementation CHAPTER 18: Realizing ChatGPT's Limitations for Project Management Limited Analysis of Words per Interaction Navigating the Do's and Don'ts Part V: Conclusion Key Takeaways Thought-Provoking Questions Multiple Choice Questions Part VI: The Future of Project Management and AI CHAPTER 19: The Future Impact of AI in Project Management and Expertise The Rise of Multimodals Areas of Expertise for Project Managers in PM-AI Moving Forward Part VI: Conclusion Key Takeaways Thought-Provoking Questions Multiple Choice Questions Answer Key to Multiple Choice Questions References Part I: Foundations of AI in Project Management Part II: Unleashing the Power of ChatGPT Part III: Mastering Prompt Engineering in Project Management with ChatGPT Part IV: AI in Action: Practical Applications for Project Management Part V: Secure AI Implementation Strategies: Principles, AI Model Integration, and PM-AI Opportunities Part VI: The Future of Project Management and AI Index
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.
About the Author KRISTIAN BAINEY, M.S., PMP, CSM, Prosci, ITIL, PM-AI, is an experienced IT and project management professional with over 15 years focusing on digital transformation development in generative AI-Driven Project Management (PM-AI), DevOps, and the SDLC elements of waterfall, agile, and hybrid approaches. He is an expert in directing business and digital transformation, AI, data management, operations, continuous improvement, and change management projects. He manages a consulting corporation specializing in generative AI integration for organizations, lecturing part-time at universities and creating global course content and podcasts. Additionally, he served as the President of the PMI Northern Alberta Chapter (2023-2024), and actively speaks at numerous worldwide conferences on AI/ChatGPT in Project Management.