Story
The NRMA Modernizes Feature Pipelines with Confluent
The NRMA, an information technology organization in the United States, uses Confluent Cloud from Confluent to support applied machine learning for data scientists and ML engineers.
Value results
| Category | Value result |
|---|---|
| Capability | Named workflow replaces ad hoc routing for feature pipelines |
| Capability | Applied machine learning stays visible to adjacent teams through Confluent Cloud |
| Capability | Data scientists and ML engineers work from the same Confluent Cloud record for feature pipelines |
Story
The NRMA grew feature pipelines faster than the local tools around it. From the United States, information technology 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 Confluent Cloud put applied machine learning on Confluent. Confluent is the data streaming platform built around Apache Kafka, used to move events between applications in real time. The NRMA 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.