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 xxi

Introduction xxiii

Part I Foundations of AI in Project Management 1

Chapter 1 Introducing ChatGPT: The AI Revolution in Project Management 3

Evolution of AI 3

What Is ChatGPT? 5

Accessing ChatGPT 7

The ChatGPT Advantage for Project Managers 7

Your Roadmap to Productivity and Success 8

Chapter 2 AI-Driven Project Management (PM-AI) 9

What Is Project Management? 9

What Is Fine-Tuning? 10

What Is Customized Modeling? 10

What Is Model Training from Scratch? 10

What Is Artificial Intelligence, and How Does It Affect Project Management? 11

What Is Generative AI’s Effect on Project Management? 13

Artificial Intelligence 14

Machine Learning 14

Deep Learning 15

Generative AI 15

Large Language Models 15

Generative Pretrained Transformers 15

ChatGPT 15

Generative AI Tools for Project Managers 19

Machine Learning and Its Effect on Project Management 20

Deep Learning and Its Effect on Project Management 22

Chapter 3 AI-Driven Predictive Approach to Project Management 23

The Initiating Process Phase 24

Example: Initiating a New Solar Energy Farm Project 24

The Planning Process Phase 24

Example: AI-Driven Cybersecurity for Network Intrusion Detection 24

The Executing Process Phase 25

Example: Remote Patient Monitoring in a Healthcare Application 25

The Monitoring and Controlling Process Phase 26

Example: Smart Building Management System in Construction 26

The Closing Process Phase 27

Example: AI-Driven Inventory Management System in the Supply Chain 27

The Benefits and Limitations of Using a Predictive Approach in AI 27

Chapter 4 AI-Driven Agile and Hybrid Approaches to Project Management 31

The Concept Phase 31

Example: Personalized Fitness and Nutrition Mobile App in Software Development 32

The Initiating Phase 32

Example: Telemedicine Platform in the Health Sector 33

The Planning and Design Phase 33

Example: AI-Powered Driver Assistance System in the Automotive Sector 33

The Iterative Development (Sprint and Cycles) Phase 34

Example: Recommendation Engine in the E-commerce Sector 34

The Release and Transition Phase 35

Example: Mobile Banking Application in the Financial Services Sector 35

The Deployment Phase 35

Example: Streaming Service Platform in the Media and Entertainment Sector 36

AI-Driven Hybrid Approach in Project Management 36

The Concept and Initiating Phase 36

Example: Cloud-Based CRM System in the IT Sector 37

The Planning and Design Phase 37

Example: Web Application Development in the IT Sector 37

The Iterative Development and Testing phase 38

Example: Construction Project that Integrates Advanced Technologies 38

The Deployment and Closing Phase 39

Example: Mobile App Deployment in the Insurance Sector 39

Benefits and Limitations of Using an Agile or Hybrid Approach 39

Chapter 5 The Implications of AI in Project Management 43

Steps to Identifying AI Challenges in Project Management Using a Systemized Approach 44

Chapter 6 Navigating Ethical Challenges in PM-AI 47

Addressing Inclusivity 47

Accountability 50

Training Data and Ethical Implications 51

Transparency and Trust 53

Part I Conclusion 55

Key Takeaways 55

Thought-Provoking Questions 56

Understanding PM-AI 56

Practical Application in Data-Driven Decisions 56

GenAI Capabilities 56

Predictive Capabilities 57

Skill Development and Learning 57

Integration and Compatibility 57

Measurement and KPIs 57

Multiple Choice Questions 57

Part II Unleashing the Power of ChatGPT 61

Chapter 7 Using ChatGPT 63

The Chat Interface 63

Updates and Versioning 65

How Does ChatGPT Work? 66

Input Processing 66

Tokenization 66

Input Embedding 67

Transformer Neural Network 67

Text Generation and Output 68

Safety, Data Storage, and Accuracy of ChatGPT 68

Tailor ChatGPT for Project Managers 69

Guidelines for Effective Interactions 70

Expanding Beyond Project Management 70

ChatGPT Format Types 70

ChatGPT Human Voice Tone Types 73

Temperature Settings 75

Safety and Ethical Considerations 76

Chapter 8 Transforming Communication with ChatGPT 79

Project Inquiries and Faster Information Gathering 79

Streamlining Project Inquiries 79

Faster Information Gathering 80

Client Communication and Stakeholder Management 83

Enhancing Team Collaboration and Information Sharing 85

Simplifying Internal Communications and Agendas 87

Documenting and Archiving Communications 91

Chapter 9 Risk, Ethics, Prediction, and Decision Making in AI Projects 93

Revolutionizing Decision Making with ChatGPT 93

Risks and Ethics of Using Prediction for Decision Making 96

Human-in-the-Loop 97

Part II Conclusion 101

Key Takeaways 102

Thought-Provoking Questions 103

The Future of Project Management with AI 103

Engaging with AI Tools 103

Ethics and Responsibility 103

Community and Continuous Learning 103

Multiple Choice Questions 103

Part III Mastering Prompt Engineering in Project Management with Chatgpt 107

Chapter 10 Prompt Engineering for Project Managers 109

What Is Prompt Engineering? 109

Prompt Engineering in Project Management 110

Prompt Engineering: Real-World Use Cases for Project Managers 110

Project Development Lifecycles 118

Process Groups and Project Management Processes 121

Project Management Knowledge Areas 121

Project Scope Management 124

Project Schedule Management 134

Project Schedule 137

Project Cost Management 141

Activity Cost Example 142

Determine Budget Example 142

Cost-Benefits Analysis Example 145

Earned Value Management (EVM) Example 145

Project Quality Management 149

Project Resource Management 152

Project Communications Management 160

Project Risk Management 161

Project Procurement Management 165

Project Stakeholder Management 167

Project Integration Management 171

Project Change Management 177

Project Performance Management 179

Chapter 11 Unlocking ChatGPT Tips and Tricks 183

Part III Conclusion 191

Key Takeaways 191

Thought-Provoking Questions 192

Role Transformation in Project Management 192

Limitations and Solutions 192

Integration with Project Management Methodologies 192

Future Outlook 192

Enhancing Project Efficiency and Effectiveness 193

Training and Skill Development 193

Risk Management and Decision Making 193

Stakeholder Engagement and Communication 193

Ethical Considerations and Compliance 193

Measuring Success and ROI 193

Adapting to Changing Project Dynamics 194

Collaboration and Team Dynamics 194

Innovation and Creative Problem-Solving 194

Project Management Across Industries 194

Sustainability and Long-Term Planning 194

Security and Data Privacy 194

User Experience and Customer Satisfaction 195

Digital Transformation and AI Integration 195

Change Management and Organizational Culture 195

Training AI for Custom Needs 195

AI Ethics and Social Responsibility 195

Multiple Choice Questions 196

Part IV AI in Action: Practical Applications for Project Management 201

Chapter 12 Accurate Project Forecasting with ChatGPT 203

Predictive Data-Driven Analysis 203

Augmenting Forecasting Tasks 205

Advanced ChatGPT Features in Forecasting 208

Chapter 13 Learning and Development Powered by ChatGPT 211

Personalized Learning 211

Tailoring Learning to Your Needs 212

Immediate Feedback and Support 212

Adapting to Different Learning Styles 213

Professional Development and Training 213

Personalized PMP Exam Study Plan 213

Scalability of Educational Resources 214

Enhancing Accessibility 216

Chapter 14 AI and Human Talent in Projects: A Harmonious Blend 219

AI Chatbots in People Management 220

Behavioral Project Management 220

Misinformation 222

Hallucinations 223

The Rise of People Soft Skills in PM-AI 224

Part IV Conclusion 227

Key Takeaways 227

Thought-Provoking Questions 228

Predictive Data-Driven Analysis with ChatGPT 228

Automating Forecasting Tasks in Project Management 228

Risk Assessment and Budget Forecasting 228

Advanced ChatGPT Features in Project Management 228

Learning and Development with ChatGPT 229

AI and Human Talent in Projects 229

Multiple Choice Questions 229

Part V Secure AI Implementation Strategies: Principles, AI Model Integration, and PM-AI Opportunities 233

Chapter 15 Security and Privacy in AI Model Integration 235

Strategic Integration of AI in Cybersecurity 235

AI and Data Security 238

The Pause and Reflect Process in ml 239

Ethical Implications and Privacy Concerns 241

Ethical Implications 242

Privacy Concerns 243

Regulations 247

Chapter 16 AI Strategic Project Management Principles 251

Eight Principles for Organizational AI Model Integration 252

AI Integration Strategy 252

Data Management and Protection 253

Ethical AI Framework 254

Transparency and Explainability 254

Security and Data Privacy 255

Governance and Change Management 256

Accountability and Performance 256

Scalability and Continuous Improvement 257

Chapter 17 Fine-Tuning and Customizing AI Models for Organizational Benefits 259

PM-AI Modality Model 259

Fine-Tuning AI Models for Organizations 261

Model-as-a-Service (MaaS) 262

Fine-Tuning AI-as-a-Service (AIaaS) 262

Roles of AI Model Development 269

Six Layers of the AI Model Development Lifecycle 270

Data Gathering and Analysis Layer 271

AI Architecture Design Layer 271

Model Training and Development Layer 272

Model Validation and Integration Layer 273

AI Model Deployment Layer 274

Iterative Refinement and Optimization Layer 274

Customizing AI Models for Organizations 275

Fine-Tuning vs. Customized AI Models for Projects 276

Key Considerations for First-Time AI Implementation 277

Chapter 18 Realizing ChatGPT’s Limitations for Project Management 281

Limited Analysis of Words per Interaction 284

Navigating the Do’s and Don’ts 285

Part V Conclusion 287

Key Takeaways 287

Thought-Provoking Questions 288

Security and Privacy in AI Modeling 288

Strategic Integration of AI in Cybersecurity 289

AI and Data Security 289

AI Strategic Project Management Principles 289

Fine-Tuning AI Models for Organizational Benefits 289

Challenges and Considerations in AI Model Development 289

Multiple Choice Questions 290

Part VI The Future of Project Management and AI 295

Chapter 19 The Future Impact of AI in Project Management and Expertise 297

The Rise of Multimodals 298

Areas of Expertise for Project Managers in PM-AI 300

IT and Engineering 301

Healthcare 305

Education 308

Construction 310

Retail 313

Moving Forward 316

Part VI Conclusion 317

Key Takeaways 317

Thought-Provoking Questions 319

Decision Making and Automation in PM-AI 319

Integration of AI and Human Skills in Project Management 319

Adapting to Rapid AI Development 319

The Role of AI in Communication and Stakeholder Engagement 320

The Evolution of AI as a Strategic Partner 320

Multimodal AI in Project Management 320

Preparing for the Future of AI in Project Management 320

Multiple Choice Questions 321

Answer Key to Multiple Choice Questions 325

Part I: Foundations of AI in Project Management 325

Part II: Unleashing the Power of ChatGPT 326

Part III: Mastering Prompt Engineering in Project Management with ChatGPT 326

Part IV: AI in Action: Practical Applications for Project Management 328

Part V: Secure AI Implementation Strategies: Principles, AI Model Integration, and PM-AI Opportunities 329

Part VI: The Future of Project Management and AI 331

References 333

Part I: Foundations of AI in Project Management 333

Part II: Unleashing the Power of ChatGPT 334

Part III: Mastering Prompt Engineering in Project Management with ChatGPT 336

Part IV: AI in Action: Practical Applications for Project Management 337

Part V: Secure AI Implementation Strategies: Principles, AI Model Integration, and PM-AI Opportunities 339

Part VI: The Future of Project Management and AI 342

Index 345