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storyUnited StatesConsumer DiscretionaryProductivityRisk and compliance

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Dataiku@Under Armour

Under Armour Runs Applied Machine Learning with Dataiku

Under Armour, a consumer discretionary organization in the United States, uses Govern from Dataiku 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
Risk and complianceGovern is the governed place data scientists and ML engineers use for applied machine learning

Story

Under Armour 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.

Govern from Dataiku is now in that path. Dataiku is a universal AI platform that lets data teams and analysts collaborate on pipelines, models, and governed AI applications. 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.

Under Armour 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

Under Armour uses Dataiku, Ansys, Stripe, ADP, Google Cloud, Zscaler, BMC, UiPath, Wiz. Shared with Agilent Technologies, American Express Global Business Travel, Anglo American, Asahi Kasei, ASE Technology. Industry: Consumer Discretionary. Value: Productivity, Risk and compliance. Drag nodes, filter types, or expand a node to follow more commonalities.

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