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storyJapanConsumer DiscretionaryProductivityRisk and complianceCapability

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Informatica@Subaru

Subaru Runs Applied Machine Learning with Informatica

Subaru, a consumer discretionary organization in Japan, uses Claire GPT from Informatica 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
Risk and complianceClaire GPT is the governed place data scientists and ML engineers use for applied machine learning
CapabilityNew joiners can see how applied machine learning actually runs

Story

Subaru grew feature pipelines faster than the local tools around it. From Japan, consumer discretionary 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 Claire GPT put applied machine learning on Informatica. Informatica is an enterprise data management platform for integration, quality, catalog, and master data across clouds. Subaru 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

Subaru uses Informatica, DocuSign, Appian, PTC, Palantir, Salesforce. Shared with 1Password, AbbVie, Academy Sports, Accor, ACS Group. Industry: Consumer Discretionary. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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