Story
Confluent
AbbVieAbbVie Standardizes Feature Pipelines on Confluent
AbbVie, a health care organization in the United States, uses Apache Kafka from Confluent 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 Apache Kafka |
Story
Health Care work at AbbVie spans more than one site, even when headquarters sits in the United States. Feature pipelines was splitting across regional habits. Data scientists and ML engineers asked for a shared way to run applied machine learning without freezing local judgment.
Confluent (Apache Kafka) is what they standardized on. Confluent is the data streaming platform built around Apache Kafka, used to move events between applications in real time. AbbVie uses it as the system of record for feature pipelines, with data scientists and ML engineers as the primary operators and other groups coming in through the same queue.
Leaders get a picture they can actually walk. Teams get fewer mystery statuses. The story is about operating change, not an unpublished percentage.
