Story
Confluent
Abbott LaboratoriesAbbott Laboratories Uses Flink on Confluent for Feature Pipelines
Abbott Laboratories, a health care organization in the United States, uses Flink on Confluent from Confluent to support applied machine learning for data scientists and ML engineers.
Flink on Confluent sits in the daily path at Abbott Laboratories, especially for data scientists and ML engineers.
“Health Care work at Abbott Laboratories spans more than one site, even when headquarters sits in the United States.”
“Data scientists and ML engineers asked for a shared way to run applied machine learning without freezing local judgment.”
Independent write-up. Figures come from public sources or are illustrative.
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 Flink on Confluent |
| Capability | Data scientists and ML engineers work from the same Flink on Confluent record for feature pipelines |
Story
Health Care work at Abbott Laboratories 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 (Flink on Confluent) is what they standardized on. Confluent is the data streaming platform built around Apache Kafka, used to move events between applications in real time. Abbott Laboratories 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 The story is about operating change, not an unpublished percentage.
