Story
SAS
Siemens EnergySiemens Energy Extends SAS Risk Across Applied Machine Learning
Siemens Energy, an energy organization in Germany, uses SAS Risk from SAS to support applied machine learning for data scientists and ML engineers.
Value results
| Category | Value result |
|---|---|
| Risk and compliance | Applied machine learning stays visible to adjacent teams through SAS Risk |
| Capability | Feature pipelines can be reviewed without waiting on a personal export |
| Capability | Named workflow replaces ad hoc routing for feature pipelines |
Story
Siemens Energy did not need another dashboard that nobody opened. It needed applied machine learning to move. In Germany, data scientists and ML engineers already knew where feature pipelines went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.
SAS Risk from SAS is now in that path. SAS provides analytics and AI software used for statistics, risk, customer intelligence, and decisioning in regulated industries. The company treats it as production tooling for applied machine learning, which is why data scientists and ML engineers live in it rather than exporting from it once a quarter.
Siemens Energy can show how feature pipelines is handled today. That is the value: a repeatable way to run applied machine learning on software the rest of the industry already recognizes.
