As a model developer, you navigate to the Modelscape landing page, where you see a customizable dashboard displaying a list of models and their metadata, and proceed to create a new model.
	
					
	
				You enter basic details like the Model Name and Categories, specific if it’s a vendor model, and indicate whether its an AI model.
	
					
	
				You can also enter stakeholder information, including the model owner, developer, and attester.
	
					
	
				Modelscape independently generates an email without integrating with the client’s IT system, using the user’s local email client to send messages.
	
					
	
				Documentation can be added to the model ensuring that all relevant information is properly stored and easily accessible for future reference or audits.
	
					
	
				The document name and description should be specified, after which the document can be uploaded SharePoint.
	
					
	
				Add a submission to bring the model to the attention of the model validation team, and the system will generate an automated email to notify them.
	
					
	
				Select the submission type, such as light or full revalidation, ongoing monitoring, reaffirmation, or other. Then, add a description and save the submission.
	
					
	
				Add a connection to your model to show how it is linked to other models within the organization, helping to visualize dependencies and manage risks across interconnected systems.
	
					
	
				Select a connection type (upstream or downstream), search for the model you want to link, and add the connection.
	
					
	
				Additional graphical views of the model inventory give you a clear understanding of how data and models flow throughout your institution.
	
					
	
				Modelscape supports an unlimited number of custom lifecycles, allowing you to govern models, non-models, and other tools within a single solution.
	
					
	
				Modelscape logs every system action to ensure complete audit compliance, streamlining your organization’s reporting and compliance efforts while reducing waste.
	
					
	
				Embedded dashboards with integration to tools like PowerBI and Tableau ensure data stays up to date for reporting on key business metrics. Users can easily drill down into models and leverage custom tools, like risk tiering calculations, which are automatically incorporated into the reports.
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