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Have you ever invalidated an AI idea purely based on data constraints? What was your process?

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  1. Sheila Hara
    Sheila Hara

    Barracuda Networks Sr. Director, Product Management • 3mo

    Yes—AI ideas should be invalidated when data constraints make the promise risky.A strong product team does this by pressure‑testing the data before committing to a solution. A practical team‑level process: Start with the data, not the modelTeams should examine data coverage, bias, freshness, and labeling quality early—especially across customer segments, regions, and languages. This helps separate what’s theoretically possible from what’s viable. Translate data gaps into customer riskThe team sh ...Read More

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