A $2.3M AI platform launch resulted in zero adoption after 90 days. David Ohnstad explains the critical mistake: building infrastructure before understandi
This article was originally published on davidohnstad.net. I cross-post here to reach the Dev.to community.
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David Ohnstad explains why enterprise AI projects stall after launch. Learn how to move beyond low adoption rates and build AI…
Many generative AI projects will be abandoned after proof of concept — and not because the technology doesn't work, but because…
Select the right problems to solve, identify clear owners, put guardrails in place and plan with ongoing operations in mind.
What We Set Out to Understand In 2026, the dominant narrative around AI failure still...
Enterprise AI is failing because companies are trying to deploy AI solutions on top of fragmented data, disconnected systems and…
The companies that fail at AI are failing because they treat AI as a product to install rather than a capability to develop.
