With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
By moving Cortex into dbt and Airflow, Snowflake is aiming to eliminate context switching and pull AI closer to production pipelines, analysts say.
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