Story
Dataiku
BitbucketBitbucket Extends Dataiku Cloud Across Applied Machine Learning
Bitbucket, an information technology organization in Australia, uses Dataiku Cloud from Dataiku 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 Dataiku Cloud |
| Capability | Data scientists and ML engineers work from the same Dataiku Cloud record for feature pipelines |
| Capability | Feature pipelines can be reviewed without waiting on a personal export |
Story
Inside Bitbucket, applied machine learning used to depend on whoever still had the latest file. That pattern is common in information technology groups working out of Australia. Data scientists and ML engineers needed a system that would still make sense after the original project team moved on.
Bitbucket 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 Bitbucket 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.
