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Teradata@Harman

Teradata at Harman: Feature Pipelines

Harman, a consumer discretionary organization in the United States, uses Teradata AI Unlimited from Teradata 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
ProductivityHandoffs in applied machine learning sit in a shared queue instead of a mailbox trail
CapabilityNew joiners can see how applied machine learning actually runs

Story

Harman did not need another dashboard that nobody opened. It needed applied machine learning to move. In the United States, data scientists and ML engineers already knew where feature pipelines went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.

Teradata AI Unlimited from Teradata is now in that path. Teradata provides a connected multi-cloud data platform for large-scale analytics and mixed workload warehousing. The company treats it as production tooling for applied machine learning, which is why data scientists and ML engineers live in it rather than exporting from it once a quarter.

Harman can show how feature pipelines is handled today. That is the value: a repeatable way to run applied machine learning on software the rest of the industry already recognizes.

Relationship map

Harman uses Teradata, Intuit, Cartesia, HashiCorp, Qlik, IBM, Red Hat. Shared with 6sense, ABB, ACS Group, Activision Blizzard, Advantest. Industry: Consumer Discretionary. Value: Productivity, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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