Why AI/Data Science Projects Fail: How to Avoid Project Pitfalls (Second Edition 2026) (Synthesis Lectures on Computation and Analytics)

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Synopsis
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.
Copyright:
2026

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9783031908705
Related ISBNs:
9783031908699
Publisher:
Springer Nature Switzerland
Date of Addition:
Copyrighted By:
Intel Corporation
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet, Business and Finance, Mathematics and Statistics
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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