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O'Reilly Media Paperback English
Managing AI Projects
Drive Innovation and Successfully Navigate the Full AI Project Lifecycle
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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 Adria n Gonza lez Sa nchez, 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 deploymentManage uncertainty, experimentation, and changing requirementsBridge technical and nontechnical teams effectivelyReduce risk and increase success using proven practicesDeliver AI initiatives that align with business goals and timelinesDevelop an applied AI project management handbook for your day-to-day initiatives
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 Adria n Gonza lez Sa nchez, 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 deploymentManage uncertainty, experimentation, and changing requirementsBridge technical and nontechnical teams effectivelyReduce risk and increase success using proven practicesDeliver AI initiatives that align with business goals and timelinesDevelop an applied AI project management handbook for your day-to-day initiatives