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

Weiner, Joyce

Softcover

ISBN 10: 3031005570 ISBN 13: 9783031005572

Publisher: Springer, 2020

Synopsis

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.

About this title

About the Author

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. She lives with her husband outside Phoenix, Arizona.

Edition details

• Publisher: Springer
• Publication date: 2020
• Language: English
• ISBN 10: 3031005570
• ISBN 13: 9783031005572
• Binding: Paperback
• Edition number: 1
• Number of pages: 76