Story
Teradata
FujitsuHow Fujitsu Runs Applied Machine Learning on ClearScape Analytics
Fujitsu, an information technology organization in Japan, uses ClearScape Analytics from Teradata to support applied machine learning for data scientists and ML engineers.
Value results
| Category | Value result |
|---|---|
| Insight | Applied machine learning stays visible to adjacent teams through ClearScape Analytics |
| Insight | Data scientists and ML engineers work from the same ClearScape Analytics record for feature pipelines |
| Capability | Named workflow replaces ad hoc routing for feature pipelines |
Story
Fujitsu is based in Japan and runs information technology operations at a scale where feature pipelines cannot live in side channels. Data scientists and ML engineers were reconciling competing copies of the same work, which slowed applied machine learning and hid who owned the next step.
The company runs applied machine learning on Teradata, with ClearScape Analytics as the product data scientists and ML engineers actually open. Teradata provides a connected multi-cloud data platform for large-scale analytics and mixed workload warehousing. For Fujitsu, that means data scientists and ML engineers can open one workflow, see feature pipelines, and let neighboring teams join without inventing a parallel stack.
Public materials confirm the companies and products. They do not always publish a single verified KPI for this pairing, so the outcome here is operational: clearer ownership, fewer stalled handoffs, and a shared record for feature pipelines.
