Story
Teradata
US BancorpUS Bancorp Uses VantageCloud for Feature Pipelines
US Bancorp, a financials organization in the United States, uses VantageCloud from Teradata to support applied machine learning for data scientists and ML engineers.
Value results
| Category | Value result |
|---|---|
| Capability | Named workflow replaces ad hoc routing for feature pipelines |
| Capability | Applied machine learning stays visible to adjacent teams through VantageCloud |
| Capability | Data scientists and ML engineers work from the same VantageCloud record for feature pipelines |
Story
Financials work at US Bancorp 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.
Teradata (VantageCloud) is what they standardized on. Teradata provides a connected multi-cloud data platform for large-scale analytics and mixed workload warehousing. US Bancorp 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 The story is about operating change, not an unpublished percentage.
