In order to create effective machine learning models, it's necessary to scrape vast amounts of data, but truly understanding your incoming data in terms of annotation and label distribution for every segment can be very challenging. It can also be difficult to maintain multiple dashboards of ML models in production. In order to update your models effectively, you need a system that can monitor and alert you when your models aren't working as expected.
New Relic is partnering with Superwise to help data scientists, data engineers, and machine learning practitioners automate model monitoring at high scale and gain insights at the most granular levels so they can pinpoint issues and drive actions to maximize business outcomes.
In this tutorial, you'll learn how to set up and integrate Superwise with New Relic Alerts and Applied Intelligence to correlate model and infrastructure alerts, and dive deeper to investigate model performance.
The following video shows the functionality you'll have once you integrate Superwise with New Relic One.
New Relic Inc. published this content on 14 October 2021 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 14 October 2021 16:21:04 UTC.