Story
Snowflake@
Dick's Sporting Goods
Dick's Sporting Goods Runs Applied Machine Learning with Snowflake
Dick's Sporting Goods, a consumer discretionary organization in the United States, uses Horizon Catalog from Snowflake to support applied machine learning for data scientists and ML engineers.
Value results
| Category | Value result |
|---|---|
| Capability | Feature pipelines can be reviewed without waiting on a personal export |
| Capability | Named workflow replaces ad hoc routing for feature pipelines |
| Capability | Applied machine learning stays visible to adjacent teams through Horizon Catalog |
Story
Dick's Sporting Goods grew feature pipelines faster than the local tools around it. From the United States, consumer discretionary 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 Horizon Catalog 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. Dick's Sporting Goods 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.
