Why AI/Data Science Projects Fail

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32,09 

How to Avoid Project Pitfalls, Synthesis Lectures on Computation and Analytics

ISBN: 3031908694
ISBN 13: 9783031908699
Autor: Weiner, Joyce
Verlag: Springer Verlag GmbH
Umfang: x, 71 S., 6 s/w Illustr., 4 farbige Illustr., 71 p. 10 illus., 4 illus. in color.
Erscheinungsdatum: 30.07.2025
Auflage: 2/2025
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 6042281 Kategorie:

Beschreibung

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.

Autorenporträt

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. 

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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