Extend full-stack observability to machine learning with ML model monitoring

New Relic has launched an expanded observability platform aimed at artificial intelligence (AI) and machine learning (ML) teams, which integrates performance monitoring tools designed to break down visibility silos and enhance the monitoring of ML models in production. This new offering allows AI/ML and DevOps teams to visualize critical performance signals, such as recall, precision, and model accuracy, alongside their applications and infrastructure. The platform supports both functional and operational monitoring, addressing concept drift, data quality, compliance, and fairness issues, thereby ensuring ML models remain accurate, efficient, and aligned with business objectives. By enabling integrations with leading ML operations platforms and offering custom dashboards, New Relic empowers teams to proactively manage their models, facilitating faster problem-solving and enhancing customer experiences. The initiative underscores the growing importance of comprehensive ML observability and represents a collaboration between New Relic and the AI Infrastructure Alliance to advance AI applications.