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DXC Technology Adopts SAS for Applied Machine Learning
DXC Technology, an information technology organization in the United States, 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 |
| Risk and compliance | Data scientists and ML engineers work from the same SAS Risk record for feature pipelines |
| Capability | Named workflow replaces ad hoc routing for feature pipelines |
Story
Inside DXC Technology, 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.
DXC Technology uses SAS Risk 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 DXC Technology 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.