Applying Artificial Intelligence in Project Management (MLI Generative AI Series)

Half title
Title
Copyright
Contents
Preface
Acknowledgments
About the Author
Part I: Fundamental Concepts of AI in Project Management
	Chapter 1: Why Project Management Needs AI
		Questions
		References
	Chapter 2: Two AI Components for Projects
		Machine Learning
		Natural Language Processing (NLP)
		AI Background
		Software Concepts
		Criticisms of Artificial Intelligence
		Questions
		References
	Chapter 3: The Business Case for AI
		Misunderstandings of AI
		Questions
		References
	Chapter 4: Automating Project Management Tasks
		Questions
		References
Part II: The Importance of Data
	Chapter 5: Providing Good Project Data
		Managing Poor Data Quality (“Garbage In”)
		Data Volume
		Data Significance
		Questions
		References
		Case Study: Insufficient Data
	Chapter 6: Acquiring and Using Data
		Data Mining
		How to Prepare the Data
		Data Management Terms and Actions
		Questions
		References
Part III: AI Solutions for Project Problems
	Chapter 7: Predicting Project Results Using Machine Learning Algorithms and Supervised Learning to Predict Results
		Example: Prediction Software
		Project Screening and Selection
		Predictions During Project Execution
		Using Prediction Software in a Gating Process
		An Example of Developing Prediction Software
		Building AI Prediction Software for Project Management
			Input
			Processing
			Output
			The Future of Project Prediction Software
		Unsupervised Learning for Clustering Project Issues
		Reinforcement Learning for Improved Decision-Making
		Examples of Machine Learning Solutions
			Building AI Stakeholder Management Software
			Inputs
			Processing
			Output
		Resolving Project Issues Successfully
		Historical Data
		Building AI Issues Management Software
			Inputs
			Processing
			Output
			The Future of Managing Project Issues
		AI Change Control Predictions
		Historical Data
		Managing Change
		Building AI Software for Change Control
			Inputs
			Process
			Output
			The Future of Change Control Software
		Questions
		References
	Chapter 8: Improving Project Productivity with NLP
		Fundamentals of NLP
		Document Analysis
		Sentiment Analysis
		Stakeholder Management Using Sentiment Analysis
		The Pros and Cons of Sentiment Analysis
		Improving Project Team Communication
			A Possible Scenario for Sentiment Analysis During a Project
			Personality and Bias
		Virtual Assistants
		Historical Data and the Virtual Assistant
			Inputs
			Processing
			Output
		The Project Assistant
		The Future of Virtual Assistants for Project Management
		Questions
		References
	Chapter 9: Generative AI and Large Language Models
		Questions
	Chapter 10: Genetic Algorithms for Project Navigation
		Feature Selection
		Selection Optimization
		Optimization Solutions
		The Value of Genetic Algorithms
		A Final Thought on Genetics
		Questions
		References
Part IV: Applying AI to Project Processes
	Chapter 11: Project Initiation, Planning, Delivery, and Close
		Project Initiation
		Project Planning
		Project Delivery
		Project Close
		Questions
		Case Study: Proactively Managing Large Infrastructure Projects
	Chapter 12: Project Control and Project Termination
		Project Termination
		Questions
		Case Study: Predicting Success and Failure
	Chapter 13: AI for Agile Process Effectiveness
		Questions
		References
		Case Study: Resource Allocation Across a Portfolio
	Chapter 14: Applying AI to Resolve Project Failure
		Questions
		References
		Case Study: Deploying a Mass Transit System
Part V: Acquiring AI Solutions
	Chapter 15: The Build or Buy Decision
		Resources to Create AI Software for Project Management
		Questions
	Chapter 16: Evaluating and Acquiring AI Software
		Strategy for Implementing AI
		Questions
		References
		Case Study: Vendor Selection
	Chapter 17: Implementing AI Solutions
		The AI Roadmap
		Questions
		Case Study: Deployment Issues
Part VI: Adapting to AI in Project Management
	Chapter 18: Changes to Roles of the Project Manager, PMO, and Project Team
		Project Managers
		The Project Management Office
		Project Team
		Training
		Questions
		References
	Chapter 19: Ethical Implications of AI in Project Management
		Areas of Ethical Concern
			Data
			Software Development
		Explainable AI
		Inherent Problems in AI Development
		Overcoming the Fear of AI
		Questions
		References
	Chapter 20: The Rapid Advance of AI Technology
		Questions
		References
		Case Study: The Olympic Stadium
	Chapter 21: Conclusion
Appendix: Terms and Definitions
	Common Abbreviations
	Definitions
Index