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AI Is Becoming a Data Problem Before It Becomes a Model Problem
The conversation around AI often starts with models. In reality, long-term value comes from how well data pipelines, governance, and workflows work together.The teams moving fastest seem to be simplifying their stack instead of expanding it.What tren...
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Coming from a statistics background, this makes a lot of sense to me. Before any model, we always spend most of the time just cleaning and validating data. the actual modeling is usually the smaller part.I think that's why the medallion architecture ...
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