The AI Revolution in Project Management: Elevating Productivity with Generative AI
Description
In a world where technology is rapidly evolving, the fusion of project management and artificial intelligence stands at the forefront of innovation. The AI Revolution in Project Management delves deep into the transformative power of generative AI tools that promise to reshape industries, and revolutionize how we manage projects.
Whether you're looking to build dynamic teams using AI, choose a project development approach, or monitor project performance, this book has got you covered. Each chapter provides insightful narratives and includes a supplemental Technical Guide that provides tips on using the AI technology. With case studies and prompts, the dialogues showcase AI in action, from stakeholder engagement to risk management. Dive in with experts whove spent countless hours using these AI tools in project scenarios to offer a transparent view into generative AI-driven project management.
In this book you'll learn:
- How to create prompts that generate meaningful and actionable insights tailored for your projects
- When to use AI to enhance decision-making, super-charge productivity, and elevate overall project efficiency
- Which generative AI models and plug-ins to use for specific project scenarios, ensuring seamless integration and maximum efficiency
"AI is not just a buzzword; its a tool reshaping how we manage projects and engage with stakeholders."
- From the Foreward by Ricardo Viana Vargas, Ph.D.
Ricardo is an experienced leader in global operations, project management, business transformation, and crisis management. As founder and managing director of Macrosolutions, a consulting firm with international operations in energy, infrastructure, IT, oil, and finance, he managed more than $20 billion in international projects in the past 25 years.
Update
As AI products continue to evolve, information published in this book may change. Please note that as of February 2024, there is a name change for Bing Chat and Bard Chat.
Microsoft Bing Chat is now Copilot : https://copilot.microsoft.com/ .
Google Bard is now Gemini : https://gemini.google.com/ .
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Persons
Dr. Vijay Kanabar is an associate professor and the director of Project Management Programs at Boston Universitys Metropolitan College. In recognition of his outstanding contributions to the field, he was honored with the PMI Linn Stuckenbruck Teaching Excellence Award in 2017. He has a track record of advising organizations such as Blue Cross Blue Shield, Staples, United Way, and Fidelity Investments on training and technology needs. As a distinguished author, he delved into AI research three decades ago, developing AI expert systems that aided project practitioners in cost estimation. Additionally, he holds certifications such as PMP, PMI-ACP, and CSM.
Jason Wong is an IT leader at a Boston-based hospital and an adjunct professor at Boston University, where he teaches project, program, and portfolio management and shares his profound understanding of generative AI with students, guiding them to master the methods necessary for developing generative AI systems. He imparts his deep knowledge of generative AI to students, ensuring they grasp both the foundational concepts and advanced techniques essential for creating cutting-edge artificial intelligence models. He lends his expertise as a practitioner in leading, managing, and overseeing diverse IT projects and products, with a specialized focus on electronic health records (EHR) and picture archiving and communications systems (PACS). He holds a masters in computer information systems and is a certified PMP, PMI-ACP, and CSPO.
Content
Chapter 1 Dawn of A New Era
Chapter 2 Stakeholders and Generative AI
Chapter 3 Building and Managing Teams Using AI
Chapter 4 Choosing A Development Approach With AI
Chapter 5 AI-Assisted Planning for Predictive Projects
Chapter 6 Adaptive Projects and AI
Chapter 7 Monitoring Project Work Performance With AI
Chapter 8 The Role of AI In Risk Management
Chapter 9 Finalizing Projects with AI
Chapter 10 AI Tools for Project Management
Chapter 11 Looking Ahead