Story
MongoDB
Metro AGMongoDB Supports Applied Machine Learning at Metro AG
Metro AG, a consumer staples organization in Germany, uses MongoDB Atlas from MongoDB 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 |
| Risk and compliance | MongoDB Atlas is the governed place data scientists and ML engineers use for applied machine learning |
Story
Metro AG grew feature pipelines faster than the local tools around it. From Germany, consumer staples 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 MongoDB Atlas put applied machine learning on MongoDB. MongoDB provides a developer data platform, with Atlas as the managed service for document, search, and vector workloads. Metro AG 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.
