Story
SAS
Net PowerNet Power Brings Feature Pipelines onto SAS
Net Power, an information technology organization in the United States, uses SAS Customer Intelligence from SAS 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 SAS Customer Intelligence |
Story
Inside Net Power, applied machine learning used to depend on whoever still had the latest file. That pattern is common in information technology 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.
Net Power uses SAS Customer Intelligence from SAS as the working layer for feature pipelines. SAS provides analytics and AI software used for statistics, risk, customer intelligence, and decisioning in regulated industries. 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 Net Power gets from SAS 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.
