TY  - BOOK
AU  - Boudreau,Paul
TI  - Applying Artificial Intelligence to Project Management
T2  - MLI Generative AI Series
SN  - 9781501522703
PY  - 2024///]
CY  - Dulles, VA
PB  - Mercury Learning and Information
KW  - COMPUTERS / Intelligence (AI) & Semantics
KW  - bisacsh
KW  - Artificial Intelligence, Project Management, AI Tools, Machine Learning, Data Maintenance, Task Automation, Predictive Analytics, Agile Process, Project Success, AI Implementation
N1  - Frontmatter --; Contents --; Preface --; Acknowledgments --; About the Author --; Part I: Fundamental Concepts of AI in Project Management --; Chapter 1: Why Project Management Needs AI --; Chapter 2: Two AI Components for Projects --; Chapter 3: The Business Case for AI --; Chapter 4: Automating Project Management Tasks --; Part II: The Importance of Data --; Chapter 5: Providing Good Project Data --; Chapter 6: Acquiring and Using Data --; Part III: AI Solutions for Project Problems --; Chapter 7: Predicting Project Results Using Machine Learning Algorithms and Supervised Learning to Predict Results --; Chapter 8: Improving Project Productivity with NLP --; Chapter 9: Generative AI and Large Language Models --; Chapter 10: Genetic Algorithms for Project Navigation --; Part IV: Applying AI to Project Processes --; Chapter 11: Project Initiation, Planning, Delivery, and Close --; Chapter 12: Project Control and Project Termination --; Chapter 13: AI for Agile Process Effectiveness --; Chapter 14: Applying AI to Resolve Project Failure --; Part V: Acquiring AI Solutions --; Chapter 15: The Build or Buy Decision --; Chapter 16: Evaluating and Acquiring AI Software --; Chapter 17: Implementing AI Solutions --; Part VI: Adapting to AI in Project Management --; Chapter 18: Changes to Roles of the Project Manager, PMO, and Project Team --; Chapter 19: Ethical Implications of AI in Project Management --; Chapter 20: The Rapid Advance of AI Technology --; Chapter 21: Conclusion --; Appendix: Terms and Definitions --; Index; restricted access; Issued also in print
N2  - 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
UR  - https://doi.org/10.1515/9781501519307
UR  - https://www.degruyter.com/isbn/9781501519307
UR  - https://www.degruyter.com/document/cover/isbn/9781501519307/original
ER  -