New Relic : Extend your machine-learning model observability with New Relic One and Mona

Gaining complete visibility into your AI systems is a critical necessity to optimize production environments. You need to accurately monitor your data and model performance, especially when your team is heavily invested in building high-performing machine-learning (ML) models. In order to do so, the teams developing and deploying models need to work closely with teams supporting the system in production to ensure models are monitored for accuracy.

New Relic is partnering with Mona to help bridge the gap between AI/ML practitioners such as Data Scientists and ML Engineers, and DevOps and site reliability engineers, by bringing scalable ML monitoring to New Relic One.

In the following short demo, you'll learn how to explore production AI data and connect Mona alerts to New Relic Incident Intelligence to automatically track the performance of your AI systems in production via New Relic Dashboards.