The Project Management AI Handbook - Vinueza, Gustavo; Kodukula, Prasad
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Erscheint vorauss. 9. September 2025
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The Project Management AI Handbook: Leveraging Generative Tools in Waterfall and Agile Environments is an essential guide for project and portfolio management professionals, business leaders, and anyone interested in using generative AI to enhance project management. Packed with use cases and prompts, this book illustrates how AI tools can be applied through real-world case studies that mirror actual projects and portfolios. Whether you are managing projects using waterfall or agile methods, this book demonstrates how generative AI can automate tasks, streamline documentation, generate project…mehr

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Produktbeschreibung
The Project Management AI Handbook: Leveraging Generative Tools in Waterfall and Agile Environments is an essential guide for project and portfolio management professionals, business leaders, and anyone interested in using generative AI to enhance project management. Packed with use cases and prompts, this book illustrates how AI tools can be applied through real-world case studies that mirror actual projects and portfolios. Whether you are managing projects using waterfall or agile methods, this book demonstrates how generative AI can automate tasks, streamline documentation, generate project plans, forecast risks, and optimize project performance with greater efficiency and accuracy.
Autorenporträt
Dr. Prasad Kodukula, PMP, PgMP, DASM, DASSM, BCES, is a PMI Fellow, USA Today best-selling author, thought leader, inventor, and entrepreneur with over 40 years of professional experience. As a global ambassador for project management, Prasad has delivered lectures on project management in nearly 50 countries and has worked with 40 Fortune 100 companies (including Abbott, BP, Caterpillar, Dow, IBM, JPMorgan Chase, Kraft, and United Technologies) across all 11 S&P industrial sectors. Prasad is the CEO and co-founder of two companies: Kodukula & Associates, Inc., a project management coaching and consulting firm, and NeoChloris, Inc., a renewable energy company. Prasad teaches project management at the University of Chicago and Illinois Tech and is also a LinkedIn Learning Instructor. He has been honored by the Project Management Institute (PMI) three times, receiving the 2020 PMI Fellow Award, the 2016 Eric Jenett Project Management Excellence Award, and the 2010 PMI Distinguished Contribution Award, recognizing him as "Best of the Best in Project Management." Additionally, one of the companies he co-founded was named the most innovative environmental technology company in Illinois in 2005. He has also received prestigious awards from the U.S. Environmental Protection Agency and the State of Kansas for his leadership in education, training, and environmental improvement. Prasad is a co-author or contributing author of 12 books and over 40 articles, and he holds four patents. Gustavo "Guz" Vinueza, M.S., MBA, is a seasoned technology and risk consultant with over 20 years of experience spanning various industries. A recognized thought leader, Guz is frequently invited to speak at prominent forums, including PMI, AACE, INFORMS, and SPE. He has delivered thousands of hours of training in quantitative risk management and project management to clients across Latin America, the U.S., and the Middle East, working with organizations such as the U.S. Army Corps of Engineers, Borg Warner, Amway, Ontario Power Generation, and DEWA, among others. His expertise has positioned him as a leader in machine learning, advanced analytics, and decision support systems. In addition to his consulting career, Guz has held academic roles at institutions in Latin America and Spain, where he teaches courses in business analytics, data science, project management, and agile methodologies. Professionally, he has served in key leadership positions, including as Consultant Director at The Ferryfield Group, Data Director at Betterfly, and Director of Consulting at Palisade. Guz holds advanced degrees, including a postgraduate diploma in AI and machine learning from the University of Texas at Austin. As a published author, he contributes to global discussions on AI and data-driven strategies, shaping the future of technology and business.