For years, cloud data platforms followed a predictable pattern: store data, export it to ML tools, build models elsewhere, then re-import results. That architecture created latency, security gaps, and mounting operational overhead. Over the last several years, Snowflake has systematically dismantled that model, not through marketing repositioning, but through deliberate platform engineering. The result is an environment where data preparation, model training, inference, and a
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