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Informatica@Liebherr

Informatica at Liebherr: Feature Pipelines

Liebherr, an industrials organization in Switzerland, uses Claire GPT from Informatica 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 Claire GPT
CapabilityData scientists and ML engineers work from the same Claire GPT record for feature pipelines

Story

Liebherr did not need another dashboard that nobody opened. It needed applied machine learning to move. In Switzerland, 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.

Claire GPT from Informatica is now in that path. Informatica is an enterprise data management platform for integration, quality, catalog, and master data across clouds. 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.

Liebherr 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

Liebherr uses Informatica, Smartsheet, Datadog, Workday, Red Hat, Dropbox, Confluent, OpenAI, Qlik, MongoDB, Zoom. Shared with 1Password, AbbVie, Academy Sports, Accor, ACS Group. Industry: Industrials. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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