Story
Confluent
Coca-Cola HBCCoca-Cola HBC Runs Applied Machine Learning with Confluent
Coca-Cola HBC, a consumer staples organization in Switzerland, uses Connect from Confluent to support applied machine learning for data scientists and ML engineers.
Value results
| Category | Value result |
|---|---|
| Capability | Applied machine learning stays visible to adjacent teams through Connect |
| Capability | Data scientists and ML engineers work from the same Connect record for feature pipelines |
| Capability | Feature pipelines can be reviewed without waiting on a personal export |
Story
Coca-Cola HBC did not need another dashboard that nobody opened. It needed applied machine learning to move. In Switzerland, data scientists and ML engineers already knew where feature pipelines went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.
Connect from Confluent is now in that path. Confluent is the data streaming platform built around Apache Kafka, used to move events between applications in real time. The company treats it as production tooling for applied machine learning, which is why data scientists and ML engineers live in it rather than exporting from it once a quarter.
Coca-Cola HBC can show how feature pipelines is handled today. That is the value: a repeatable way to run applied machine learning on software the rest of the industry already recognizes.
