Description: AI-Driven Project Management by Kristian Bainey 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 AIs data-centric capabilities: minimizing surprises, minimizing bias, increasing standards, and accelerating decision making. Youll also find: Primers on the role of AI and ChatGPT in Agile, Hybrid, and Predictive approaches to project managementHow to accurately forecast a project with ChatGPTTechniques 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Author Biography 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. 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 AIs 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 ChatGPTs Limitations for Project Management 281 Limited Analysis of Words per Interaction 284 Navigating the Dos and Donts 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 Details ISBN1394232217 Language English Year 2024 ISBN-10 1394232217 ISBN-13 9781394232215 UK Release Date 2024-06-19 Author Kristian Bainey Format Paperback Country of Publication United States Publisher John Wiley & Sons Inc Imprint John Wiley & Sons Inc Subtitle Harnessing the Power of Artificial Intelligence and ChatGPT to Achieve Peak Productivity and Success Place of Publication New York Audience Professional & Vocational Pages 384 AU Release Date 2024-04-04 Publication Date 2024-04-22 US Release Date 2024-04-22 We've got this At The Nile, if you're looking for it, we've got it. 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