V3.0 Release Notes

What’s New:

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.

Orchestrate:

• 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

Govern:

• 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.

General:

• 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

Specific Details: