Why AI/Data Science Projects Fail

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.

Preface
Introduction and Background
Project Phases and Common Project Pitfalls
Define Phase
Making the Business Case: Assigning Value to Your Project
Acquisition and Exploration of Data Phase
Model-Building Phase
Interpret and Communicate Phase
Deployment Phase
Summary of the five Methods to Avoid Common Pitfalls
References
Author Biography