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Dataiku@Chronosphere

Dataiku Supports Applied Machine Learning at Chronosphere

Chronosphere, an information technology organization in the United States, uses Dataiku from Dataiku to support applied machine learning for data scientists and ML engineers.

Value results

CategoryValue result
CapabilityApplied machine learning stays visible to adjacent teams through Dataiku
CapabilityData scientists and ML engineers work from the same Dataiku record for feature pipelines
CapabilityFeature pipelines can be reviewed without waiting on a personal export

Story

Chronosphere grew feature pipelines faster than the local tools around it. From the United States, information technology 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 Dataiku 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. Chronosphere 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

Chronosphere uses Dataiku, Box, Cloudflare, Microsoft Azure, Palantir, PayPal, Teradata, HubSpot. Shared with Agilent Technologies, American Express Global Business Travel, Anglo American, Asahi Kasei, ASE Technology. Industry: Information Technology. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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