Devron is a federated data science platform that enables teams to build and train models on distributed, heterogeneous, and private data sources without the cost and risk of moving data.
As a result, you can unlock access to valuable, previously inaccessible datasets (including securely and privately sharing data between organizations), allowing you to build more accurate, generalizable, and reliable models.
Demo Use Case:
INDUSTRY: | Banking |
OBJECTIVE: | Fraud Detection |
BUSINESS VALUE: | Minimize Risk |
Preserve Revenue |
Unlock access to more data and discover trapped innovation |
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Analyze sensitive data without the risk of privacy leakage or lineage issues |
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Boost model accuracy, generalizability, and reliability |
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Accelerate time to insight by drastically reducing data engineering overhead |