Gain model observability at scale with New Relic One and Superwise

Integrating Superwise with New Relic One provides data scientists and engineers a robust system for automating model monitoring and gaining granular insights into machine learning models' performance, which is essential for maintaining effective machine learning models. This integration allows for comprehensive visibility and analysis of models, offering features like automated KPIs, incidents, and customizable dashboards that display model health, activity, and input drift detection. Users can set up alert conditions and notification channels to manage and respond to issues promptly, enhancing collaboration between MLOps and DevOps teams. The combination of Superwise's model observability platform with New Relic’s infrastructure monitoring facilitates faster troubleshooting and decision-making, ultimately aiming to maximize business outcomes by ensuring efficient model performance and reducing noise in incident correlation.