Build machine learning models faster with New Relic One and Comet

Deploying successful machine learning models presents challenges such as testing difficulties and ongoing performance maintenance, which can significantly impact business outcomes. New Relic, in collaboration with Comet, offers an integration that enhances full-stack observability for machine learning models, allowing for the establishment of production performance baselines. This integration helps teams monitor and improve model performance throughout the machine learning lifecycle, facilitating faster retraining, debugging, and addressing issues like data drift and bias. Comet's MLOps platform, combined with New Relic One, enables seamless collaboration between data scientists and developers, enhancing productivity and visibility. Users can set up the integration by accessing New Relic's platform, which supports efficient model tracking and performance validation, ultimately aiding in building better models and achieving improved business results.