Why AI/Data Science Projects Fail
How to Avoid Project Pitfalls
Springer International Publishing
ISBN 978-3-031-01685-1
Standardpreis
Bibliografische Daten
eBook. PDF
2022
XI, 65 p..
In englischer Sprache
Umfang: 65 S.
Verlag: Springer International Publishing
ISBN: 978-3-031-01685-1
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Synthesis Lectures on Computation and Analytics
Produktbeschreibung
Recent data shows that 87% of Artificial Intelligence/Big Data projects don't make it into production (VB Staff, 2019), meaning that most projects are never deployed. This book addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid those pitfalls. Along the way, stories from actual experience in building and deploying data science projects are shared to illustrate the methods and tools. While the book is primarily for data science practitioners, information for managers of data science practitioners is included in the Tips for Managers sections.
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