The AI Revolution in Project Management: Elevating Productivity with Generative AI

The AI Revolution in Project Management: Elevating Productivity with Generative AI

by Vijay Kanabar, Jason Wong
Released December 2023
Publisher(s): Pearson
ISBN: 9780138297350

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Book description

I see a once in a lifetime opportunity to not only elevate the leadership role of project professionals in their organization, thanks to the AI-driven disruption, but also to increase projects success rate by leveraging AI, while using it responsibly. Project professionals are natural learners, problem solvers, innovators and most importantly, they get things done. This insightful book highlights how project professionals can deliver increased value and greater efficiencies by incorporating the use of generative AI tools in their daily tasks.

Pierre Le Manh, President & Chief Executive Officer of PMI

Current organizations are finding themselves in a state of perpetual transformation driven by the progress of emerging technologies and evolvement of world-shaping megatrends. Todays leaders demand fast and informed decision-making, often while dealing with high level of uncertainty, complexity, and competing priorities. Finding efficient ways to deal with large amounts of data, translate them into insight, and use this insight to deliver changes is one of the top future required capabilities of professionals who stay at the forefront of these transformationsproject professionals. Reading this book will help you acquire a robust understanding of AI-driven project management tools and techniques. You will be able to translate this knowledge and immediately apply learnings to increase overall project success.

Lenka Pincot, Chief of Staff to the CEO, PMI

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 youre 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 youll 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

Table of contents

  1. Cover Page
  2. About This eBook
  3. Title Page
  4. Copyright Page
  5. Dedications
  6. Pearson’s Commitment to Diversity, Equity, and Inclusion
  7. Contents
  8. Acknowledgments
  9. About the Authors
  10. Foreword
    1. A New Era in Project Management
  11. Prologue
    1. The Intersection of Project Management and AI
    2. Supplemental Content
  12. 1. Dawn of a New Era
    1. Not Robots
    2. AI and Brook’s Law
    3. Artificial Intelligence
    4. ChatGPT
    5. Prompt Engineering
    6. Ethical Considerations and Professional Responsibility
    7. Key Points to Remember
    8. Technical Guide
  13. 2. Stakeholders and Generative AI
    1. Identifying Project Stakeholders
    2. The Impact of AI on Stakeholder Expectations
    3. Stakeholder Analysis with AI
    4. Engaging Stakeholders through AI-Driven Communication
    5. AI as a Stakeholder for Project Management?
    6. Ethical Considerations and Professional Responsibilities
    7. Key Points to Remember
    8. Technical Guide
  14. 3. Building and Managing Teams Using AI
    1. AI-Assisted Recruitment and Selection
    2. AI-Driven Team Onboarding, Training, and Development
    3. Enhancing Leadership with AI
    4. Using AI Tools to Enhance Team Collaboration
    5. AI in Conflict Resolution and Decision-Making
    6. Ethical Considerations and Professional Responsibility
    7. Key Points to Remember
    8. Technical Guide
  15. 4. Choosing a Development Approach with AI
    1. Understanding Predictive, Adaptive, and Hybrid Life Cycle Approaches
    2. Using AI to Select the Right Development Approach for Projects
    3. Tailoring Your Approach with AI
    4. Ethical Considerations and Professional Responsibility
    5. Key Points to Remember
    6. Technical Guide
  16. 5. AI-Assisted Planning for Predictive Projects
    1. AI-Assisted Project Initiation
    2. AI-Assisted Planning
    3. AI-Assisted Project Scope Definition
    4. AI in WBS Creation
    5. Creating a Schedule from the WBS Using AI
    6. AI-Enhanced Cost Estimation and Budgeting
    7. Ethical Considerations and Professional Responsibility
    8. Key Points to Remember
    9. Technical Guide
  17. 6. Adaptive Projects and AI
    1. Adaptive Projects
    2. Scrum Prompts
    3. Agile Estimation
    4. Project Execution
    5. Project Measurement and Tracking
    6. Ethical Considerations and Professional Responsibility
    7. Key Points to Remember
    8. Technical Guide
  18. 7. Monitoring Project Work Performance with AI
    1. Direct and Manage Project Work
    2. Quality Management with AI
    3. AI in Monitoring and Controlling Project Work
    4. Validating and Controlling Scope, Schedule, and Cost with AI
    5. Ethical Considerations and Professional Responsibility
    6. Key Points to Remember
    7. Technical Guide
  19. 8. The Role of AI in Risk Management
    1. Risk Identification with AI: Understanding Threats and Opportunities
    2. Enhancing Traditional Risk Identification Methods with AI
    3. Qualitative Risk Analysis and AI
    4. Quantitative Risk Analysis and AI
    5. AI in Risk Responses
    6. AI in Risk Monitoring
    7. Ethics and Professional Responsibility
    8. Key Points to Remember
    9. Technical Guide
  20. 9. Finalizing Projects with AI
    1. Releasing Products and Services
    2. Verifying and Validating Project Deliverables and Usability Testing with AI
    3. Deployment with Knowledge from AI
    4. Project Closure
    5. Value Delivery
    6. Ethics and Professional Responsibility
    7. Key Points to Remember
    8. Technical Guide
  21. 10. AI Tools for Project Management
    1. Value and Implications of AI-Integrated Tools for Project Managers
    2. Factors to Consider When Evaluating AI Tools
    3. Project Management Systems
    4. Scheduling Tools
    5. Communication and Meeting Tools
    6. Productivity and Documentation Tools
    7. Collaboration and Brainstorming Tools
    8. Ethics and Professional Responsibility
    9. Key Points to Remember
    10. Technical Guide
  22. 11. Looking Ahead
    1. Embrace of AI Is a Boon to Project Management
    2. The AI-Powered Future in Enterprises
    3. Risks from AI
    4. Introduce AI Solutions Only to Address a Need
    5. Closing Remarks
  23. Index

Product information

  • Title: The AI Revolution in Project Management: Elevating Productivity with Generative AI
  • Author(s): Vijay Kanabar, Jason Wong
  • Release date: December 2023
  • Publisher(s): Pearson
  • ISBN: 9780138297350