Why Most ML Models Never Reach Production

Enterprises pour billions into artificial intelligence, yet half of the models never see a real user. Discover why machine learning projects stall before deployment and how product teams can bridge the gap between complex data artifacts and the actual decisions users need to drive real business value. Full article: https://davidohnstad.net/why-most-ml-models-never-reach-production/

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-26
DOI
https://doi.org/10.5281/zenodo.23669079
Primary Topic
Artificial Intelligence Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Why Most ML Models Never Reach Production

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

Why Most ML Models Never Reach Production

David Ohnstad
article en

Abstract

Enterprises pour billions into artificial intelligence, yet half of the models never see a real user. Discover why machine learning projects stall before deployment and how product teams can bridge the gap between complex data artifacts and the actual decisions users need to drive real business value. Full article: https://davidohnstad.net/why-most-ml-models-never-reach-production/

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 14%
Artificial Intelligence Applications
DOIOpen Access PDFOpenAlex
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Why Most ML Models Never Reach Production — David Ohnstad · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS