BÜCHER VERSANDKOSTENFREI INNERHALB DEUTSCHLANDS
eBook
Why AI/Data Science Projects Fail
How to Avoid Project Pitfalls
2., Second Edition 2026
Springer International Publishing
ISBN 978-3-031-90870-5
Standardpreis
Bibliografische Daten
eBook. PDF
2., Second Edition 2026. 2025
X, 71 p. 10 illus., 4 illus. in color..
In englischer Sprache
Umfang: 71 S.
Verlag: Springer International Publishing
ISBN: 978-3-031-90870-5
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Synthesis Lectures on Computation and Analytics
Produktbeschreibung
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.
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