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Qlik@Kawasaki Heavy Industries

Qlik at Kawasaki Heavy Industries: Feature Pipelines

Kawasaki Heavy Industries, an industrials organization in Japan, uses Qlik Answers from Qlik to support applied machine learning for data scientists and ML engineers.

Value results

CategoryValue result
CapabilityNamed workflow replaces ad hoc routing for feature pipelines
CapabilityApplied machine learning stays visible to adjacent teams through Qlik Answers
CapabilityData scientists and ML engineers work from the same Qlik Answers record for feature pipelines

Story

Kawasaki Heavy Industries did not need another dashboard that nobody opened. It needed applied machine learning to move. In Japan, data scientists and ML engineers already knew where feature pipelines went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.

Qlik Answers from Qlik is now in that path. Qlik provides analytics and data integration software, including Qlik Sense and Talend, for interactive analysis and pipelines. The company treats it as production tooling for applied machine learning, which is why data scientists and ML engineers live in it rather than exporting from it once a quarter.

Kawasaki Heavy Industries can show how feature pipelines is handled today. That is the value: a repeatable way to run applied machine learning on software the rest of the industry already recognizes.

Relationship map

Kawasaki Heavy Industries uses Qlik, New Relic, Infor, Red Hat. Shared with Air India, Alcoa, Aldi, Asahi Group, Astellas. Industry: Industrials. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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