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, allowing you to build more accurate, generalizable, and reliable models.
Demo Use Case:
TYPE: | Privacy-preserving Model Building |
INDUSTRY: | Telecommunications |
OBJECTIVE: | Improve Customer Churn |
BUSINESS VALUE: | Reduce Customer Churn |
Preserve Revenue | |
Reduce Sales Expense |
Unlock access to more data and discover trapped innovation | |
Analyze sensitive data without the risk of privacy leakage or lineage issues | |
Boost model accuracy, generalizability, and reliability | |
Accelerate time to insight by drastically reducing data engineering overhead |