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storyBrazilIndustrialsProductivityRisk and complianceCapability

Story

Dataiku@GOL

Dataiku at GOL: Feature Pipelines

GOL, an industrials organization in Brazil, uses Govern from Dataiku to support applied machine learning for data scientists and ML engineers.

Value results

CategoryValue result
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
CapabilityNew joiners can see how applied machine learning actually runs

Story

GOL grew feature pipelines faster than the local tools around it. From Brazil, industrials 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 Govern put applied machine learning on Dataiku. Dataiku is a universal AI platform that lets data teams and analysts collaborate on pipelines, models, and governed AI applications. GOL 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

GOL uses Dataiku, Palo Alto Networks, OpenText, Snowflake, Asana, New Relic, Informatica. Shared with Agilent Technologies, American Express Global Business Travel, Anglo American, Asahi Kasei, ASE Technology. Industry: Industrials. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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