AI & Machine Learning

I sold a list of cafés with no website. Then I checked it, and half the list was wrong.

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A data product initially identifying coffee shops without websites in New York and Chicago proved to be significantly inaccurate, with nearly half the listings ultimately possessing websites. This highlights a critical challenge for those building datasets – the importance of rigorous verification beyond initial data collection, as seemingly plausible data can be misleading. The creator has since rebuilt the product with extensive manual verification across 17 cities, emphasizing the need for data quality and transparency in commercial offerings.

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