Main Purpose
The main purpose of the DataRobot platform is to provide a comprehensive solution for MLOps (Machine Learning Operations). It enables organizations to deploy, monitor, and manage machine learning models in production environments.
Key Features
- Simplified model deployment: DataRobot MLOps allows IT operations teams to quickly deploy models from various languages and frameworks in production environments.
- Monitoring for machine learning: MLOps provides monitoring specifically designed for machine learning, including data drift detection and model-specific metrics.
- Production life cycle management: DataRobot MLOps supports the entire life cycle of machine learning models, allowing for updates and testing without interrupting service to business applications.
- Production model governance: MLOps provides access control, traceability, and audit trails to ensure regulatory compliance and prevent unwanted changes to production models.
Use Case
- Scalable model deployment: DataRobot MLOps enables organizations to deploy machine learning models at scale, supporting the deployment of multiple models across different applications.
- Model monitoring and maintenance: MLOps allows for continuous monitoring of machine learning models, detecting data drift and ensuring model performance over time.
- Regulatory compliance: DataRobot MLOps provides governance features that help organizations comply with regulations and maintain control over their production models.
