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
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
