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SAS@SmarterD

SmarterD Standardizes Feature Pipelines on SAS

SmarterD, an information technology organization in the United States, uses SAS Visual Analytics from SAS to support applied machine learning for data scientists and ML engineers.

Value results

CategoryValue result
InsightApplied machine learning stays visible to adjacent teams through SAS Visual Analytics
InsightData scientists and ML engineers work from the same SAS Visual Analytics record for feature pipelines
CapabilityFeature pipelines can be reviewed without waiting on a personal export

Story

SmarterD is based in the United States and runs information technology 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 Visual Analytics 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 SmarterD, 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

SmarterD uses SAS, Cartesia, Palantir, Box, F5, Splunk. Shared with 11880 Solutions AG, AbbVie, Ahold Delhaize, Aircall, American Express GBT. Industry: Information Technology. Value: Insight, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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