Wednesday, May 20th, 2026 – 12:35 am
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There is a common refrain that AI requires high-quality data to deliver high-quality results. “Garbage in/garbage out” refers to the idea that any AI trained on less than perfect data will not be able to produce valuable outputs.
Before I get accused of dismissing the importance of quality data, high-quality data does produce the best results. Great data is definitely better than spotty data.
But the reality is that between signal loss, missing audience information and aging data, most of the data that companies have is spotty. The good news is that this data is actually far more usable than most people think.
