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SAS Model Manager

SAS Model Manager: Streamline your analytics lifecycle with seamless integration, efficient scoring, and compliance.

Data Management Updated 4 hours ago
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SAS Model Manager

SAS Model Manager's Top Features

Model scoring
Monitoring and retraining
Seamless integration with SAS Viya
Support for AI and machine learning models
Compliance and governance
Flexible deployment options
Robust analytics workflow management
Industry-specific analytics support
Real-time model performance tracking
Comprehensive user resources

Frequently asked questions about SAS Model Manager

SAS Model Manager is a comprehensive platform designed to manage the entire analytics lifecycle, from model creation to deployment and monitoring.

SAS Model Manager seamlessly integrates with the SAS Viya platform, providing robust capabilities for managing analytics workflows.

SAS Model Manager can handle a wide range of models, including those used for fraud detection, risk management, and customer experience optimization.

Yes, SAS Model Manager includes features that ensure consistency, compliance, and governance across various deployment environments.

Key features include model scoring, monitoring, retraining, and seamless integration with various analytics tools and platforms.

You can try SAS Model Manager by visiting the SAS website and clicking on the 'Try it now' call to action.

Yes, SAS Model Manager is versatile and can be applied across various industries including banking, insurance, and retail.

New users can access a variety of resources including documentation, tutorials, and customer support services available on the SAS website.

Yes, SAS Model Manager fully supports the deployment and management of AI and machine learning models.

The process typically involves model creation, validation, deployment, and subsequent monitoring and retraining to ensure optimal performance.

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Category
Data Management
Tags
SAS Model Manager
analytics
model management
deployment
SAS Viya
fraud detection
customer experience optimization
scoring
monitoring
retraining

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