Why AI/Data Science Projects Fail: How to Avoid Project Pitfalls

Author:   Joyce Weiner
Publisher:   Springer International Publishing AG
Edition:   Second Edition 2026
ISBN:  

9783031908699


Pages:   71
Publication Date:   30 July 2025
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Why AI/Data Science Projects Fail: How to Avoid Project Pitfalls


Overview

This Second Edition addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid these pitfalls. Current statistics show that 87% of AI and Big Data projects fail by never reaching deployment, making this book an essential resource for data science and AI practitioners, as well as managers. The author illustrates the methods and tools by including real examples from her experience building and deploying data science and AI projects. This new edition builds upon the original book with revisions, updates and features a new chapter on Generative AI.

Full Product Details

Author:   Joyce Weiner
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Second Edition 2026
ISBN:  

9783031908699


ISBN 10:   3031908694
Pages:   71
Publication Date:   30 July 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Author Information

Joyce Weiner is a Principal Engineer at Intel Corporation. Her area of technical expertise is data science and using data to drive efficiency. Joyce is a black belt in Lean Six Sigma. She has a B.S. in Physics from Rensselaer Polytechnic Institute and an M.S. in Optical Sciences from the University of Arizona. 

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