Story
SAS
FedExFedEx Standardizes Feature Pipelines on SAS
FedEx, an industrials organization in the United States, uses SAS Visual Analytics from SAS to support applied machine learning for data scientists and ML engineers.
Value results
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because feature pipelines has a clear owner |
| Risk and compliance | SAS Visual Analytics is the governed place data scientists and ML engineers use for applied machine learning |
| Capability | New joiners can see how applied machine learning actually runs |
Story
Industrials work at FedEx spans more than one site, even when headquarters sits in the United States. Feature pipelines was splitting across regional habits. Data scientists and ML engineers asked for a shared way to run applied machine learning without freezing local judgment.
SAS (SAS Visual Analytics) is what they standardized on. SAS provides analytics and AI software used for statistics, risk, customer intelligence, and decisioning in regulated industries. FedEx uses it as the system of record for feature pipelines, with data scientists and ML engineers as the primary operators and other groups coming in through the same queue.
Leaders get a picture they can actually walk. Teams get fewer mystery statuses. The story is about operating change, not an unpublished percentage.
