ModelOp Center v3.0 contains a powerful set of new features to increase AI governance and visibility, as well as streamline further model risk processes.
Model Risk & Compliance MLC’s: out of the box templates for orchestrating the typical steps required for model risk management
Conditional MLC Start: support for triggering MLC with specific conditions, allowing for specific MLC’s to be initiated in a more streamlined and manageable approach
MLC Incident Management: integrated tracking of MLC-specific technical incidents, including troubleshooting the incident and resuming the process instance
Monitor & Visualize
Comprehensive UX Refresh: updated UI, including a revamped home page dashboard, updated visualizations, a new compliance module, and additional operational reporting/notifications
Executive Dashboard: executive-level dashboard that contains business, operations, risk, and data science KPI’s
Operations Dashboard: operations-specific dashboards that contain an overview of all deployments and issues across all environments
Integrated Business Value: out-of-the-box templates to track business value for models. Automated detection of deviations from expected business value thresholds, with automated notifications and roll-up reporting
Model Audit Reporting: new Reporting module that allows users to generate detailed risk/audit reports for all models used for production decisioning
Risk & Compliance Dashboards: executive-level dashboards that contain an overview of current status of models from a compliance/risk perspective
Automated Model Risk Processes: ability to configure documentation and processes that are enforced across a variety of different use cases/business units to ensure adherence to overall AI governance procedures and processes.
Azure AKS: support for running ModelOp Center on Azure AKS
Azure Blob Storage: support for leveraging Azure Blob Storage for model artifacts as well as for model-specific training/test/etc. data
Python 3.9 Support in Runtime: standard, supported Python 3.9 base images for the ModelOp Runtime