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Snowflake@Unity Software

Unity Software Uses Cortex AI for Feature Pipelines

Unity Software, an information technology organization in the United States, uses Cortex AI from Snowflake to support applied machine learning for data scientists and ML engineers.

Value results

CategoryValue result
CapabilityData scientists and ML engineers work from the same Cortex AI record for feature pipelines
CapabilityFeature pipelines can be reviewed without waiting on a personal export
CapabilityNamed workflow replaces ad hoc routing for feature pipelines

Story

Inside Unity Software, applied machine learning used to depend on whoever still had the latest file. That pattern is common in information technology groups working out of the United States. Data scientists and ML engineers needed a system that would still make sense after the original project team moved on.

Unity Software uses Cortex AI from Snowflake as the working layer for feature pipelines. Snowflake is a cloud data platform that separates storage and compute so organizations can share, analyze, and govern data across clouds. The practical change is simple: applied machine learning has a home, and reviews happen there instead of in a forwarded thread.

Nothing in this writeup invents a savings number. What Unity Software gets from Snowflake is a durable place to run applied machine learning and a way for data scientists and ML engineers to see the same feature pipelines at the same time.

Relationship map

Unity Software uses Snowflake, Appian, Google Cloud, ServiceNow, Twilio, New Relic, Canva, Proofpoint, Synopsys, Microsoft Azure, Microsoft. Shared with Aviva, FIS, HelloFresh, Jeld-Wen, Matillion. Industry: Information Technology. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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