Why AI/Data Science Projects Fail

How to Avoid Project Pitfalls

AvJoyce Weiner

Häftad, Engelska, 2025

Del i serien Synthesis Lectures on Computation and Analytics

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Beskrivning

This Second Edition addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid these pitfalls.

Produktinformation

Utgivningsdatum:2025-07-30
Mått:168 x 240 x 8 mm
Vikt:170 g
Format:Häftad
Språk:Engelska
Serie:Synthesis Lectures on Computation and Analytics
Antal sidor:71
Upplaga:2
Förlag:Springer International Publishing AG
ISBN:9783031908699

Utforska kategorier

Optimering inom Naturvetenskap och teknik
Matematisk statistik inom Naturvetenskap och teknik
Databaser inom Data och IT

Mer om författaren

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.

Innehållsförteckning

Introduction and Background.- Project Phases and Common Project Pitfalls.- Five Methods to Avoid Common 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.- Considerations for Generative AI Projects in the Enterprise.- Summary of the Five Methods to Avoid Common Pitfalls.