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Enterprise AI Success Metrics: Why Most Projects Fail

Year: 2026

Type: article

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/

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.24005094

Author: Ohnstad, David

Language: English

Topic: Artificial Intelligence Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7225410256

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