Story
Qlik
SentinelOneHow SentinelOne Runs Applied Machine Learning on Qlik Sense
SentinelOne, an information technology organization in the United States, uses Qlik Sense from Qlik to support applied machine learning for data scientists and ML engineers.
Value results
| Category | Value result |
|---|---|
| Capability | Named workflow replaces ad hoc routing for feature pipelines |
| Capability | Applied machine learning stays visible to adjacent teams through Qlik Sense |
| Capability | Data scientists and ML engineers work from the same Qlik Sense record for feature pipelines |
Story
SentinelOne is based in the United States 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 Qlik, with Qlik Sense as the product data scientists and ML engineers actually open. Qlik provides analytics and data integration software, including Qlik Sense and Talend, for interactive analysis and pipelines. For SentinelOne, 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.
