Story
Dataiku
Agilent TechnologiesAgilent Technologies Extends Dataiku Cloud Across Applied Machine Learning
Agilent Technologies, a health care organization in the United States, uses Dataiku Cloud from Dataiku to support applied machine learning for data scientists and ML engineers.
Agilent Technologies uses Dataiku Cloud to train and ship models on the same lakehouse the business already trusts.
“Inside Agilent Technologies, applied machine learning used to depend on whoever still had the latest file.”
“Data scientists and ML engineers needed a system that would still make sense after the original project team moved on.”
Independent write-up. Figures come from public sources or are illustrative.
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 | Dataiku Cloud is the governed place data scientists and ML engineers use for applied machine learning |
Story
Inside Agilent Technologies, applied machine learning used to depend on whoever still had the latest file. That pattern is common in health care groups working out of the United States. Data scientists and ML engineers needed a system that would still make sense after the original project team moved on.
Agilent Technologies uses Dataiku Cloud from Dataiku as the working layer for feature pipelines. Dataiku is a universal AI platform that lets data teams and analysts collaborate on pipelines, models, and governed AI applications. The practical change is simple: applied machine learning has a home, and reviews happen there instead of in a forwarded thread.
Nothing in this writeup invents a savings number. What Agilent Technologies gets from Dataiku is a durable place to run applied machine learning and a way for data scientists and ML engineers to see the same feature pipelines at the same time.
