AI-Driven Project Management

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.

• Foreword xxiIntroduction xxiiiPart I Foundations of AI in Project Management 1Chapter 1 Introducing ChatGPT: The AI Revolution in Project Management 3Evolution of AI 3What Is ChatGPT? 5Accessing ChatGPT 7The ChatGPT Advantage for Project Managers 7Your Roadmap to Productivity and Success 8Chapter 2 AI-Driven Project Management (PM-AI) 9What Is Project Management? 9What Is Fine-Tuning? 10What Is Customized Modeling? 10What Is Model Training from Scratch? 10What Is Artificial Intelligence, and How Does It Affect Project Management? 11What Is Generative AI’s Effect on Project Management? 13Artificial Intelligence 14Machine Learning 14Deep Learning 15Generative AI 15Large Language Models 15Generative Pretrained Transformers 15ChatGPT 15Generative AI Tools for Project Managers 19Machine Learning and Its Effect on Project Management 20Deep Learning and Its Effect on Project Management 22Chapter 3 AI-Driven Predictive Approach to Project Management 23The Initiating Process Phase 24Example: Initiating a New Solar Energy Farm Project 24The Planning Process Phase 24Example: AI-Driven Cybersecurity for Network Intrusion Detection 24The Executing Process Phase 25Example: Remote Patient Monitoring in a Healthcare Application 25The Monitoring and Controlling Process Phase 26Example: Smart Building Management System in Construction 26The Closing Process Phase 27Example: AI-Driven Inventory Management System in the Supply Chain 27The Benefits and Limitations of Using a Predictive Approach in AI 27Chapter 4 AI-Driven Agile and Hybrid Approaches to Project Management 31The Concept Phase 31Example: Personalized Fitness and Nutrition Mobile App in Software Development 32The Initiating Phase 32Example: Telemedicine Platform in the Health Sector 33The Planning and Design Phase 33Example: AI-Powered Driver Assistance System in the Automotive Sector 33The Iterative Development (Sprint and Cycles) Phase 34Example: Recommendation Engine in the E-commerce Sector 34The Release and Transition Phase 35Example: Mobile Banking Application in the Financial Services Sector 35The Deployment Phase 35Example: Streaming Service Platform in the Media and Entertainment Sector 36AI-Driven Hybrid Approach in Project Management 36The Concept and Initiating Phase 36Example: Cloud-Based CRM System in the IT Sector 37The Planning and Design Phase 37Example: Web Application Development in the IT Sector 37The Iterative Development and Testing phase 38Example: Construction Project that Integrates Advanced Technologies 38The Deployment and Closing Phase 39Example: Mobile App Deployment in the Insurance Sector 39Benefits and Limitations of Using an Agile or Hybrid Approach 39Chapter 5 The Implications of AI in Project Management 43Steps to Identifying AI Challenges in Project Management Using a Systemized Approach 44Chapter 6 Navigating Ethical Challenges in PM-AI 47Addressing Inclusivity 47Accountability 50Training Data and Ethical Implications 51Transparency and Trust 53Part I Conclusion 55Key Takeaways 55Thought-Provoking Questions 56Understanding PM-AI 56Practical Application in Data-Driven Decisions 56GenAI Capabilities 56Predictive Capabilities 57Skill Development and Learning 57Integration and Compatibility 57Measurement and KPIs 57Multiple Choice Questions 57Part II Unleashing the Power of ChatGPT 61Chapter 7 Using ChatGPT 63The Chat Interface 63Updates and Versioning 65How Does ChatGPT Work? 66Input Processing 66Tokenization 66Input Embedding 67Transformer Neural Network 67Text Generation and Output 68Safety, Data Storage, and Accuracy of ChatGPT 68Tailor ChatGPT for Project Managers 69Guidelines for Effective Interactions 70Expanding Beyond Project Management 70ChatGPT Format Types 70ChatGPT Human Voice Tone Types 73Temperature Settings 75Safety and Ethical Considerations 76Chapter 8 Transforming Communication with ChatGPT 79Project Inquiries and Faster Information Gathering 79Streamlining Project Inquiries 79Faster Information Gathering 80Client Communication and Stakeholder Management 83Enhancing Team Collaboration and Information Sharing 85Simplifying Internal Communications and Agendas 87Documenting and Archiving Communications 91Chapter 9 Risk, Ethics, Prediction, and Decision Making in AI Projects 93Revolutionizing Decision Making with ChatGPT 93Risks and Ethics of Using Prediction for Decision Making 96Human-in-the-Loop 97Part II Conclusion 101Key Takeaways 102Thought-Provoking Questions 103The Future of Project Management with AI 103Engaging with AI Tools 103Ethics and Responsibility 103Community and Continuous Learning 103Multiple Choice Questions 103Part III Mastering Prompt Engineering in Project Management with Chatgpt 107Chapter 10 Prompt Engineering for Project Managers 109What Is Prompt Engineering? 109Prompt Engineering in Project Management 110Prompt Engineering: Real-World Use Cases for Project Managers 110Project Development Lifecycles 118Process Groups and Project Management Processes 121Project Management Knowledge Areas 121Project Scope Management 124Project Schedule Management 134Project Schedule 137Project Cost Management 141Activity Cost Example 142Determine Budget Example 142Cost-Benefits Analysis Example 145Earned Value Management (EVM) Example 145Project Quality Management 149Project Resource Management 152Project Communications Management 160Project Risk Management 161Project Procurement Management 165Project Stakeholder Management 167Project Integration Management 171Project Change Management 177Project Performance Management 179Chapter 11 Unlocking ChatGPT Tips and Tricks 183Part III Conclusion 191Key Takeaways 191Thought-Provoking Questions 192Role Transformation in Project Management 192Limitations and Solutions 192Integration with Project Management Methodologies 192Future Outlook 192Enhancing Project Efficiency and Effectiveness 193Training and Skill Development 193Risk Management and Decision Making 193Stakeholder Engagement and Communication 193Ethical Considerations and Compliance 193Measuring Success and ROI 193Adapting to Changing Project Dynamics 194Collaboration and Team Dynamics 194Innovation and Creative Problem-Solving 194Project Management Across Industries 194Sustainability and Long-Term Planning 194Security and Data Privacy 194User Experience and Customer Satisfaction 195Digital Transformation and AI Integration 195Change Management and Organizational Culture 195Training AI for Custom Needs 195AI Ethics and Social Responsibility 195Multiple Choice Questions 196Part IV AI in Action: Practical Applications for Project Management 201Chapter 12 Accurate Project Forecasting with ChatGPT 203Predictive Data-Driven Analysis 203Augmenting Forecasting Tasks 205Advanced ChatGPT Features in Forecasting 208Chapter 13 Learning and Development Powered by ChatGPT 211Personalized Learning 211Tailoring Learning to Your Needs 212Immediate Feedback and Support 212Adapting to Different Learning Styles 213Professional Development and Training 213Personalized PMP Exam Study Plan 213Scalability of Educational Resources 214Enhancing Accessibility 216Chapter 14 AI and Human Talent in Projects: A Harmonious Blend 219AI Chatbots in People Management 220Behavioral Project Management 220Misinformation 222Hallucinations 223The Rise of People Soft Skills in PM-AI 224Part IV Conclusion 227Key Takeaways 227Thought-Provoking Questions 228Predictive Data-Driven Analysis with ChatGPT 228Automating Forecasting Tasks in Project Management 228Risk Assessment and Budget Forecasting 228Advanced ChatGPT Features in Project Management 228Learning and Development with ChatGPT 229AI and Human Talent in Projects 229Multiple Choice Questions 229Part V Secure AI Implementation Strategies: Principles, AI Model Integration, and PM-AI Opportunities 233Chapter 15 Security and Privacy in AI Model Integration 235Strategic Integration of AI in Cybersecurity 235AI and Data Security 238The Pause and Reflect Process in ml 239Ethical Implications and Privacy Concerns 241Ethical Implications 242Privacy Concerns 243Regulations 247Chapter 16 AI Strategic Project Management Principles 251Eight Principles for Organizational AI Model Integration 252AI Integration Strategy 252Data Management and Protection 253Ethical AI Framework 254Transparency and Explainability 254Security and Data Privacy 255Governance and Change Management 256Accountability and Performance 256Scalability and Continuous Improvement 257Chapter 17 Fine-Tuning and Customizing AI Models for Organizational Benefits 259PM-AI Modality Model 259Fine-Tuning AI Models for Organizations 261Model-as-a-Service (MaaS) 262Fine-Tuning AI-as-a-Service (AIaaS) 262Roles of AI Model Development 269Six Layers of the AI Model Development Lifecycle 270Data Gathering and Analysis Layer 271AI Architecture Design Layer 271Model Training and Development Layer 272Model Validation and Integration Layer 273AI Model Deployment Layer 274Iterative Refinement and Optimization Layer 274Customizing AI Models for Organizations 275Fine-Tuning vs. Customized AI Models for Projects 276Key Considerations for First-Time AI Implementation 277Chapter 18 Realizing ChatGPT’s Limitations for Project Management 281Limited Analysis of Words per Interaction 284Navigating the Do’s and Don’ts 285Part V Conclusion 287Key Takeaways 287Thought-Provoking Questions 288Security and Privacy in AI Modeling 288Strategic Integration of AI in Cybersecurity 289AI and Data Security 289AI Strategic Project Management Principles 289Fine-Tuning AI Models for Organizational Benefits 289Challenges and Considerations in AI Model Development 289Multiple Choice Questions 290Part VI The Future of Project Management and AI 295Chapter 19 The Future Impact of AI in Project Management and Expertise 297The Rise of Multimodals 298Areas of Expertise for Project Managers in PM-AI 300IT and Engineering 301Healthcare 305Education 308Construction 310Retail 313Moving Forward 316Part VI Conclusion 317Key Takeaways 317Thought-Provoking Questions 319Decision Making and Automation in PM-AI 319Integration of AI and Human Skills in Project Management 319Adapting to Rapid AI Development 319The Role of AI in Communication and Stakeholder Engagement 320The Evolution of AI as a Strategic Partner 320Multimodal AI in Project Management 320Preparing for the Future of AI in Project Management 320Multiple Choice Questions 321Answer Key to Multiple Choice Questions 325Part I: Foundations of AI in Project Management 325Part II: Unleashing the Power of ChatGPT 326Part III: Mastering Prompt Engineering in Project Management with ChatGPT 326Part IV: AI in Action: Practical Applications for Project Management 328Part V: Secure AI Implementation Strategies: Principles, AI Model Integration, and PM-AI Opportunities 329Part VI: The Future of Project Management and AI 331References 333Part I: Foundations of AI in Project Management 333Part II: Unleashing the Power of ChatGPT 334Part III: Mastering Prompt Engineering in Project Management with ChatGPT 336Part IV: AI in Action: Practical Applications for Project Management 337Part V: Secure AI Implementation Strategies: Principles, AI Model Integration, and PM-AI Opportunities 339Part VI: The Future of Project Management and AI 342Index 345