Story
Snowflake
JumpCloudJumpCloud Uses Cortex AI for Feature Pipelines
JumpCloud, 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
| Category | Value result |
|---|---|
| Productivity | Handoffs in applied machine learning sit in a shared queue instead of a mailbox trail |
| Risk and compliance | Cortex AI is the governed place data scientists and ML engineers use for applied machine learning |
| Capability | New joiners can see how applied machine learning actually runs |
Story
Inside JumpCloud, 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.
JumpCloud 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 JumpCloud 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.
