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When scaling AI in an enterprise, we focus so much on the infrastructure and algorithms, but data quality is often the silent killer. It’s not just about collecting more data; it’s about cleaning it, labeling it, and ensuring it’s structured properly. Bad data can cost you more in the long run than any server or cloud cost. Before scaling, invest in robust data pipelines and continuous data validation.
submitted by /u/Top_Midnight_68
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