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SAS@Swedbank

SAS 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.

Value results

CategoryValue result
ProductivityFewer stalled items because feature pipelines has a clear owner
Risk and complianceSAS Viya is the governed place data scientists and ML engineers use for applied machine learning
CapabilityNew 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.

Relationship map

Swedbank uses SAS, Guidewire, SS&C, NVIDIA, Box, Smartsheet, Coupa. Shared with 11880 Solutions AG, AbbVie, Ahold Delhaize, Aircall, American Express GBT. Industry: Financials. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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