Story
SAS
SwedbankSAS Supports Applied Machine Learning at Swedbank
Swedbank, a financials organization in Sweden, uses SAS Viya from SAS to support applied machine learning for data scientists and ML engineers.
SAS Viya became the place Swedbank uses to train and ship models on the same lakehouse the business already trusts.
“Swedbank is based in Sweden and runs financials operations at a scale where feature pipelines cannot live in side channels.”
“Data scientists and ML engineers were reconciling competing copies of the same work, which slowed applied machine learning and hid who owned the next step.”
Independent write-up. Figures come from public sources or are illustrative.
Value results
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because feature pipelines has a clear owner |
| Risk and compliance | SAS Viya 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
Swedbank is based in Sweden and runs financials operations at a scale where feature pipelines cannot live in side channels. Data scientists and ML engineers were reconciling competing copies of the same work, which slowed applied machine learning and hid who owned the next step.
The company runs applied machine learning on SAS, with SAS Viya as the product data scientists and ML engineers actually open. SAS provides analytics and AI software used for statistics, risk, customer intelligence, and decisioning in regulated industries. For Swedbank, that means data scientists and ML engineers can open one workflow, see feature pipelines, and let neighboring teams join without inventing a parallel stack.
Public materials confirm the companies and products. They do not always publish a single verified KPI for this pairing, so the outcome here is operational: clearer ownership, fewer stalled handoffs, and a shared record for feature pipelines.
