Enterprise AI Success Metrics: Why Most Projects Fail

A 94% accurate model means nothing if nobody defined what business outcome it should drive. David Ohnstad exposes the critical gap between data science validation and executive expectations that derails nine months of enterprise AI development. Full article: https://davidohnstad.net/enterprise-ai-success-metrics-definition-gap/

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-02
DOI
https://doi.org/10.5281/zenodo.23892821
Primary Topic
Artificial Intelligence Applications
Type
article
Field-Weighted Citation Impact
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article

Enterprise AI Success Metrics: Why Most Projects Fail

David Ohnstad
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Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence Applications
article

Enterprise AI Success Metrics: Why Most Projects Fail

David Ohnstad
article en

Abstract

A 94% accurate model means nothing if nobody defined what business outcome it should drive. David Ohnstad exposes the critical gap between data science validation and executive expectations that derails nine months of enterprise AI development. Full article: https://davidohnstad.net/enterprise-ai-success-metrics-definition-gap/

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 17%
Artificial Intelligence Applications
DOIOpen Access PDFOpenAlex
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Enterprise AI Success Metrics: Why Most Projects Fail — David Ohnstad · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS