Why AI/Data Science Projects Fail : How to Avoid Project Pitfalls
Second Edition 2026
by
Joyce Weiner
Book Details
Format
Paperback / Softback
Book Series
Synthesis Lectures on Computation and Analytics
ISBN-10
3031908694
ISBN-13
9783031908699
Edition
Second Edition 2026
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jul 30th, 2025
Print length
71 Pages
Weight
170 grams
Dimensions
16.70 x 23.90 x 0.80 cms
Product Classification:
Management decision makingOperational researchProbability & statisticsProbability and statisticsOptimizationDigital and Information technology: general topicsInformation technology: general issuesMathematical & statistical softwareMathematical and statistical softwareDatabasesDatabases / Data managementArtificial intelligenceArtificial intelligence (AI)
Ksh 4,500.00
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This Second Edition addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid these pitfalls.
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.
Get Why AI/Data Science Projects Fail by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer International Publishing AG and it has pages.
