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Why so many enterprise AI projects stay in the demo stage
By 炎华诚信 · Published May 4, 2026
Lack of engineering, data governance and continuous operations is why AI projects fail to move from demo to production.
The gap between demo and production
A demo only needs to work once; production needs stability, security, maintainability and continuous upgrade.
Crossing the gap
Engineering delivery capability, data governance, monitoring and operations — and a partner willing to accompany the upgrade long term.
#落地#工程化
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