Название: Managing AI Projects: Drive Innovation and Successfully Navigate the Full AI Project Lifecycle
Автор: Malini Jain Runtasewee, Adrián González Sánchez
Издательство: O’Reilly Media, Inc.
Год: 2026
Страниц: 502
Язык: английский
Формат: epub
Размер: 10.1 MB

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

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

Contents: