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Dataiku@CMA CGM

Dataiku at CMA CGM: Feature Pipelines

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

Data scientists and ML engineers at CMA CGM review feature pipelines in Govern rather than in personal files.

“From France, industrials teams still had to serve customers and internal partners who expected a straight answer.”
“Dataiku is a universal AI platform that lets data teams and analysts collaborate on pipelines, models, and governed AI applications.”
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Independent write-up. Figures come from public sources or are illustrative.

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

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CMA CGM grew feature pipelines faster than the local tools around it. From France, 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. CMA CGM 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.

Value Graph

CMA CGM uses Dataiku, Ansys, Red Hat, Deel, Microsoft Azure, Splunk, Hexagon, NVIDIA, Databricks, Genesys, Informatica, Sage. Shared with Agilent Technologies, American Express GBT, 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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