Arize's platform now supports custom metrics, enabling businesses to tailor any metric to their ML monitoring needs, automate AI ROI calculations, and reduce overall costs. The current challenge in calculating AI ROI is that it's often bespoke, nuanced, and complex for businesses, with 54% of data scientists and ML engineers reporting difficulties in quantifying the ROI of ML initiatives. However, custom metrics can provide a holistic view of all model inference data and performance, enabling real-time views of AI ROI with automatic calculations based on key performance metrics defined by the user. This feature enables teams to prioritize investments, reduce spending, improve accuracy, and inform stakeholders with flexible and shareable dashboards.