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Aporia’s ML Observability platform integrates natively with your Databricks for quick and easy model monitoring
Data Science and ML teams from emerging enterprises to Fortune-500 organizations rely on Aporia to monitor their Machine Learning models in production. Aporia offers quick and simple deployment and monitors billions of predictions with low cloud costs.
By deploying Aporia on Databricks, ML teams gain full visibility into their models in production out of the box. They can detect, troubleshoot, and eliminate production issues faster, as well as proactively improve their models based on feedback and insights from production.
Monitor, Visualize, & Improve Your Models in Production
Centralized, real-time view of model health & performance
Detect drifts, bias and data integrity issues
Get to the root cause and improve models with production data
Know the why behind your models predictions
Get a unified view of all your models under a single hub. Keep an eye on model activity, inference trends, data behavior, model performance (f1 score, Precision, RMSE, etc).
Learn moreGet live alerts to Slack / MS Teams on any drift, bias, performance, or data integrity issues.
Learn moreDiscover which features impact your predictions the most, and easily communicate model results to key stakeholders
Learn more
Reah Miyara
We’re super excited to share that Aporia is now the first ML observability offering integration to the Databricks Lakehouse Platform. This partnership means that you can now effortlessly automate your data pipelines, monitor,...
Aporia naturally fits into your workflow
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