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Qlik@Sumitomo Electric

Sumitomo Electric Adopts Qlik for Applied Machine Learning

Sumitomo Electric, an industrials organization in Japan, uses Qlik Replicate 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 Replicate
CapabilityData scientists and ML engineers work from the same Qlik Replicate record for feature pipelines

Story

Inside Sumitomo Electric, applied machine learning used to depend on whoever still had the latest file. That pattern is common in industrials groups working out of Japan. Data scientists and ML engineers needed a system that would still make sense after the original project team moved on.

Sumitomo Electric uses Qlik Replicate from Qlik as the working layer for feature pipelines. Qlik provides analytics and data integration software, including Qlik Sense and Talend, for interactive analysis and pipelines. The practical change is simple: applied machine learning has a home, and reviews happen there instead of in a forwarded thread.

Nothing in this writeup invents a savings number. What Sumitomo Electric gets from Qlik is a durable place to run applied machine learning and a way for data scientists and ML engineers to see the same feature pipelines at the same time.

Relationship map

Sumitomo Electric uses Qlik, Hexagon, AVEVA, Google Cloud, Nutanix. 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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