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The Ten Error Types – Error #3: Garbage In, Garbage Out
Автор: Improving
Загружено: 2025-10-07
Просмотров: 13
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This is the third type of error I see in AI projects—and it’s a silent killer.
Betting on heroics to fix bad data.
If your team is spending weeks wrangling features or manually cleaning inputs, your model is likely being trained on stale, incomplete, or biased data. That leads to confident outputs that are systematically wrong.
In this video, I break down how we mitigate this at Improving—with data readiness assessments, quality gates in CI/CD, and red-team prompts to expose bias early.
If you're leading an AI initiative, this is 3 minutes worth your time.
#AI #DataQuality #Leadership #Improving
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