Story
Snowflake
UniperUniper Modernizes Feature Pipelines with Snowflake
Uniper, a utilities organization in Germany, uses Snowflake Data Cloud from Snowflake to support applied machine learning for data scientists and ML engineers.
Value results
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because feature pipelines has a clear owner |
| Productivity | Handoffs in applied machine learning sit in a shared queue instead of a mailbox trail |
| Capability | New joiners can see how applied machine learning actually runs |
Story
Uniper grew feature pipelines faster than the local tools around it. From Germany, utilities teams still had to serve customers and internal partners who expected a straight answer. Data scientists and ML engineers were the ones stitching the picture together by hand.
Rolling out Snowflake Data Cloud put applied machine learning on Snowflake. Snowflake is a cloud data platform that separates storage and compute so organizations can share, analyze, and govern data across clouds. Uniper keeps the product in the path where work already happens, so data scientists and ML engineers do not context-switch into a graveyard system used only for audits.
The visible result is steadier applied machine learning. Feature pipelines is easier to inspect, and adjacent groups can join data scientists and ML engineers without a guided tour of someone's desktop.
