How To's

To get you started, below are several articles that describe how to use ModelOp Center to accomplish the most common ModelOps scenarios involved during the lifecycle of a model:

Register	Orchestrate	Monitor	Govern
Creating Production-Ready Models Need to add Spark	Model Life Cycle Management: Overview	Monitoring Overview (Requires modification - take overview items from Model Efficacy Monitoring )	Model Governance: Standard Model Definition
Register a Model Need to add Spark	Operationalize a Model - REST (Requires modification)	Model Efficacy Monitoring (Requires modification) Need to add Spark	Model Governance: Production Model Inventory
Update an Existing Model Need to add Spark	Operationalize a Model - Batch (Requires modification) Need to add Spark	Drift and Concept Drift Monitoring Need to add Spark	Model Governance: Bias & Interpretability (Requires modification)
Integrate Data Assets Need to add Spark Need to add SQL Assets	Champion/Challenger Model Comparison	Ethical Fairness	Model Governance: Model Versioning Need to add Spark
	Automated Production Monitoring & Remediation Need to add Spark		Model Governance: Model Metadata