GOVERN

Document and Comply

Automate model documentation and comply with regulatory and security requirements.

Stay Compliant for Business-critical Use Cases

Streamline compliance for business-critical applications and make sure workflows adhere to regulation and compliance requirements.

Ensure Smooth Handoffs and Collaboration

Maintain control over your AI projects through automated model documentation to ensure the reliability of your business predictions.

Test and Document Models Built Outside DataRobot DataRobot

Save days of writing and testing time with extensive compliance documentation and pre-deployment testing for any models – built on or off DataRobot.

Reduce Unnecessary Risk

Comply with government regulations, and reduce production risk with embedded governance.

Test and Validate Before Deploying and Model

Use a guided experience in the custom model workshop to validate and test models built outside of DataRobot before deploying. Test your models with a single click and define whether deployment can or cannot proceed based on any errors detected. Quickly perform operations-related tests for performance and stability against various loads. Conduct data science tests for imputation and prediction accuracy against a reference set. Retain documentation for all tests run and tests passed as part of the model history. Do it all on a single platform.

Automate Compliance Documentation

Save hours of work by automating the creation of model compliance documentation for DataRobot or custom-built models – no matter who created them or where they are deployed. DataRobot can generate compliance documentation at the click of a button.

Integrate with MLflow

Build the way you think is best and DataRobot will help you monitor, document, and govern your models, wherever they may be. Easily bring metadata from MLflow’s registry (including Azure Databricks) into the DataRobot platform to assist with model governance, history, and input origins.

The DataRobot AI Platform acts as a central location for managing a suite of models from many different platforms. This helps simplify compliance and governance across AI and ML operations.

Minimize Risk with Bias Mitigation and Monitoring

Mitigating bias is required for maintaining brand reputation, ensuring regulatory compliance, and upholding ethics. DataRobot simplifies this, offering two customizable bias mitigation workflows. Choose automatic fairness for top models or personalize mitigation using selected features. This adaptability empowers users to tailor strategies to organizational objectives. Harnessing five pivotal industry fairness metrics, it strengthens bias detection and provides invaluable guidance on metric relevance. Post-deployment surveillance ensures continuous model integrity, promptly alerting and aiding in bias rectification.