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  • Managing AI Projects: Drive Innovation and Successfully Navigate the Full AI Project Lifecycle

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Managing AI Projects: Drive Innovation and Successfully Navigate the Full AI Project Lifecycle

by Malini Jain Runtasewee (Author), Adrián González Sánchez (Author) Format: Paperback

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Successfully delivering AI projects requires more than technical expertise—it demands a new kind of project management. Managing AI Projects is your practical guide to leading artificial intelligence initiatives from idea to production. Written by seasoned experts Malini Jain Runtasewee and Adrián González Sánchez, this book blends traditional project management principles with the realities of AI development, helping you structure projects, manage uncertainty, and drive real outcomes.

Whether you're a project manager, engineer, or product lead, you'll learn how to plan AI initiatives, manage risk, support iterative experimentation, and align technical and business teams. With practical tools, real-world examples, and a focus on both traditional and generative AI, this book helps ensure your AI projects deliver impact beyond just initial pilots and prototypes.

  • Structure AI projects from ideation through deployment
  • Manage uncertainty, experimentation, and changing requirements
  • Bridge technical and nontechnical teams effectively
  • Reduce risk and increase success using proven practices
  • Deliver AI initiatives that align with business goals and timelines
  • Develop an applied AI project management handbook for your day-to-day initiatives
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  1. ISBN-13
    979-8341641013
  2. Edition
    1st
  3. Publisher
    O'Reilly Media
  4. Publication date
    June 23, 2026
  5. Language
    English
  6. Dimensions
    6 x 2 x 9 inches
  7. Print length
    305 pages
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From the Publisher

From the Preface

Who This Book Is For

This book is a practical guide to AI project management. Instead of simply combining AI and traditional project management concepts, it goes deep into project and technical lifecycles and the techniques required to successfully implement AI initiatives from initial ideation through final delivery. For that reason, this book is a great resource for:

  • Experienced project managers who need practical frameworks to plan, scope, de-risk, and deliver AI projects in real-world environments
  • Scrum masters and product owners who want to adapt Agile practices to the uncertainty, experimentation, and data dependency of AI work
  • Technical professionals (e.g., data scientists, machine learning [ML] engineers, AI engineers, developers) who want to better understand governance, stakeholder management, delivery structures, and how their work fits into larger business outcomes
  • Other tactical managers (e.g., product, operations, and IT managers; innovation and transformation leads) responsible for executing AI initiatives and coordinating cross-functional teams
  • Executives and managers looking for guidance on hiring and needing clarity on processes, roles, team design, lifecycle governance, etc.
  • Coaches and consultants who support organizations through AI transformations and need structured, field-tested delivery models to guide clients effectively
  • Entry-level professionals and career switchers who seek a practical, structured introduction to how organizations’ AI projects are actually run

How This Book Is Organized

This book presents an end-to-end approach to AI project management. Organized into seven chapters, it offers all the knowledge you will need to succeed in your job and, if desired, to land another position in today’s competitive job market. It also provides plenty of notes, advice, and answers to questions like “Why is this relevant for AI project managers?” and “How is this different from regular project management?” Moreover, you’ll appreciate the incremental approach we take, allowing you to build your knowledge step-by-step.

Managing AI Projects

Editorial Reviews

About the Author

Malini Jain is a Senior Cloud & Data Project Manager at Toptal, and a university lecturer with EOI and EIP International Business School for data & AI project management courses. She is also co-author of an AI fundamentals book with ANAYA Multimedia. She has managed projects and international level with organizations in Canada and USA.

Adrián González Sánchez is an AI Architect at Microsoft, and an O'Reilly author of three books (KCNA Study Guide, Azure OpenAI Service for Cloud Native Applications, Generative AI on Microsoft Azure) and two reports (Cloud Migration for AI Readiness, Linux and Open Source on Azure). He is a trainer for the Ecole des Dirigeants at HEC Montreal and IE Business School, and he has authored online courses for LinkedIn Learning, O'Reilly Media, The Linux Foundation, and DeepLearning.ai. He also collaborates with 2U / GetSmarter for MIT Sloan's AI and Blockchain executive courses, and Harvard VPAL's Fintech course.

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