Deploying and Monitoring Made Easy with TeachableHub and WhyLabs

TeachableHub and WhyLabs are two platforms that make it easy to deploy models into production and maintain their performance. TeachableHub is a fully-managed platform for streamlining the deployment, serving, and sharing of impactful machine learning (ML) models as public or private APIs serverless with zero downtime. On the other hand, WhyLabs is an AI observability platform that enables users to achieve healthy models, fewer incidents, and happy customers. Together, these platforms provide a smooth monitoring and deployment solution for ML models. They integrate seamlessly, allowing users to log training and testing datasets, monitor model performance, and detect issues such as data drift. TeachableHub supports multiple environments by default, making it easy to create new ones and design custom processes for releasing new candidates to production. WhyLabs can be used to detect changes in real-world behaviors and highlight them through its dashboard. This helps users identify model performance degradation due to data drift and take appropriate actions such as retraining the model and redeploying it with TeachableHub. Overall, the combination of TeachableHub and WhyLabs streamlines the deployment process and automates repetitive tasks, enabling teams of all sizes to adopt established MLOps standards and best practices.