Arize

Arize AI"s ML observability platform is designed to help practitioners monitor, troubleshoot, and improve the performance of their machine learning models. The platform offers a range of features, including monitors, dashboards, performance tracing, explainability and fairness analysis, and more. It also provides specific capabilities for NLP, computer vision, generative models, and LLM observability. One unique feature is the ability to monitor embedding drift and use interactive visualizations to isolate problematic clusters for fine-tuning. The platform also allows users to understand the impact of drift on their models, trace features contributing to prediction drift, and analyze worst-performing slices of predictions using heatmaps. Additionally, it offers automated model monitoring with customizable metrics and adaptive thresholding. Arize aims to make integration and deployment easy, and it provides enterprise-grade scale and security. The platform also connects seamlessly with various data sources, feature stores, and model serving frameworks. The tool has been used by top ML companies and has received positive feedback for its ability to improve model deployments and deliver operational excellence. Overall, Arize AI"s ML observability platform is a comprehensive tool for practitioners to monitor, diagnose, and optimize machine learning models across various domains and use cases.