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Qlik@Entergy

Qlik Supports Applied Machine Learning at Entergy

Entergy, a utilities organization in the United States, uses Qlik Cloud from Qlik to support applied machine learning for data scientists and ML engineers.

Value results

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

Story

Entergy grew feature pipelines faster than the local tools around it. From the United States, utilities 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 Qlik Cloud put applied machine learning on Qlik. Qlik provides analytics and data integration software, including Qlik Sense and Talend, for interactive analysis and pipelines. Entergy 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

Entergy uses Qlik, AVEVA, Dassault Systemes, Anthropic, Zoom, Coupa, Infor, PagerDuty, Cisco, Informatica. Shared with Air India, Alcoa, Aldi, Asahi Group, Astellas. Industry: Utilities. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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