Skip to content
storyUnited StatesHealth CareCapability

Story

Teradata@Ascension

Ascension Modernizes Feature Pipelines with Teradata

Ascension, a health care organization in the United States, uses Teradata Vantage from Teradata to support applied machine learning for data scientists and ML engineers.

Value results

CategoryValue result
CapabilityNamed workflow replaces ad hoc routing for feature pipelines
CapabilityApplied machine learning stays visible to adjacent teams through Teradata Vantage
CapabilityData scientists and ML engineers work from the same Teradata Vantage record for feature pipelines

Story

Ascension grew feature pipelines faster than the local tools around it. From the United States, health care teams still had to serve customers and internal partners who expected a straight answer. Data scientists and ML engineers were the ones stitching the picture together by hand.

Rolling out Teradata Vantage put applied machine learning on Teradata. Teradata provides a connected multi-cloud data platform for large-scale analytics and mixed workload warehousing. Ascension keeps the product in the path where work already happens, so data scientists and ML engineers do not context-switch into a graveyard system used only for audits.

The visible result is steadier applied machine learning. Feature pipelines is easier to inspect, and adjacent groups can join data scientists and ML engineers without a guided tour of someone's desktop.

Relationship map

Ascension uses Teradata, Nutanix, Wiz, Palantir, Epic Systems, Veeva, Coupa, Grafana Labs. Shared with 6sense, ABB, ACS Group, Activision Blizzard, Advantest. Industry: Health Care. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

100%

Similar stories

Search Valuerepo

Search stories, solutions, customers, and more.

Type to search stories, solutions, and companies

↑↓Navigate↵OpenEscClose

View all