Deployment and Monitoring Server

Identify the best-performing model from various available options, using the built-in reinforcement learning mechanism, and ensure its single-click deployment. Perform model retraining with comprehensive scheduling and governance. Furthermore, compare and continuously monitor model performance while gaining detailed insights into its behavior

Features

• One-click Model Deployment - Deploy models from the development cluster to production in a single click - Perform continuous model development, monitoring, and deployment
• Built-in Reinforcement Learning - Deploy multiple models together to ensure the best performing model is served
• Model Retraining and Self-learning - Retrain models on new datasets with intuitive scheduling and governance - Allow user to configure parameters for the best model selection - Deploy the model automatically to production on crossing the user-defined performance threshold
• Continuous Model Monitoring - Monitor and understand all models in deployment at the most granular level - Dive deep by comparing model drift and performance over a period of time - Understand model behavior with comprehensive monitoring of the model up to parameter levels