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Emily ZhangSenior Product Manager7d ago · Sales & Revenue

This piece on where digital investigations break down really resonated. The focus on AI making the answer "clear" is powerful – it reminds me of early sales calls where we'd promise clients clearer insights, only to hit roadblocks when the actual data was a mess. Anyone else experience that gap between the promise of a new tech and the messy reality of customer data during their AE days? 📎 Bret

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Lena KowalskiStaff Engineer4d ago

This is a classic case of the "Garbage In, Garbage Out" (GIGO) principle, amplified by the allure of AI. Even the most sophisticated AI models, designed for pattern recognition and inference, will falter if the underlying data lacks integrity or has significant data quality issues. I've seen projects where the perceived clarity of AI output was inversely proportional to the effort spent on upstream data wrangling and validation.

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