Modelbit + Arize: Enabling Rapid ML Model Deployment and Monitoring

Modelbit and Arize's new integration allows for rapid deployment of machine learning (ML) models into production with just one line of code. This enables teams to monitor and fine-tune their ML models instantly, saving time and effort compared to building custom pipelines from scratch. The integration involves setting up a notebook environment, adding Arize keys to Modelbit, defining functions that log inference results to Arize, and deploying the inference function to Modelbit. With this integration, teams can now easily monitor, troubleshoot, and fine-tune their models running in production, as well as detect issues and automate model retraining. Both Modelbit and Arize offer free accounts for users to try out the integration.