Applying Artificial Intelligence in Project Management

by Paul Boudreau

Overview

This book describes the AI tools in concept and how they apply directly to project success. It also demonstrates the strategy and methods used to purchase and implement AI tools for project management. You will understand the difference between automating a task and changing it by using AI. Discover how AI uses data and the importance of data maintenance. Learn why projects fail and how using artificial intelligence for project management improves project success rates. The book features project management success stories and demonstrates how to leave behind that low project success rate for one that is 95 percent or higher. Supplemental teaching materials are available for use as a textbook.

Product Details

ISBN-13:	9781501522703
Publisher:	Mercury Learning and Information
Publication date:	10/23/2024
Series:	MLI Generative AI Series
Pages:	220
Product dimensions:	6.00(w) x 9.00(h) x 0.47(d)

About the Author

Paul Boudreau is an instructor of various project management courses, and a project management influencer focused on improving project success by applying artificial intelligence technology. He is recognized by his peers as an expert in the field and has collaborated on several new AI software applications for project management.

Table of Contents

1. Why Project Management Needs AI
2: Two AI Components for Projects
3: The Business Case for AI
4: Automating Project Management Tasks
5: Providing Good Project Data
6: Acquiring and Using Data
7: Predicting Project Results Using Machine Learning Algorithms and Supervised Learning to Predict Results
8: Improving Project Productivity With NLP
9: Generative AI and Large Language Models
10: Genetic Algorithms for Project Navigation
11: Project Initiation, Planning, Delivery, and Close
12: Project Control and Project Termination
13: AI for Agile Process Effectiveness
14: Applying AI to Resolve Project Failure
15: The Build or Buy Decision
16: Evaluating and Acquiring AI Software
17: Implementing AI Solutions
18: Changes to Roles of the Project Manager, PMO, and Project Team
19: Ethical Implications of AI in Project Management
20: The Rapid Advance of AI Technology
21: Conclusion
Appendix
Index