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ARTICLE26

"Why Most AI Systems Fail in Production (And No One Talks About It)"

DEV.to AIΒ·April 16, 2026

This article explains why most AI systems fail in production, contrasting perfect demos with the reality of noisy data and unpredictable environments. Failures occur due to changes in data and patterns (drift), causing the model to no longer solve the problem it was trained for.

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