DDC – Direct Data Connectors: Monitoring ML Models at Scale

Aporia Labs has introduced Direct Data Connectors (DDC), a novel way to monitor Machine Learning models in production by connecting directly to your training and inference datasets. DDC allows you to monitor without duplicating any of your data, enabling monitoring of billions of predictions without data sampling, production code changes, or hidden cloud costs. By simply connecting Aporia to a database where you already store your model predictions, you immediately get fully-customizable ML dashboards tailored to your use case, customizable drift detection, live alerting, XAI, and root-cause analysis tools at your fingertips. DDC is a transformative technology that empowers ML teams to effortlessly monitor and track their ML models by seamlessly integrating Aporia with their production database.

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