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SAS Model Manager helps operationalize analytics by streamlining the model management lifecycle from creation to deployment. It has seamless integration capabilities with the SAS Viya platform and supports a wide range of uses, from fraud detection to customer experience optimization. With its robust suite of tools and features, SAS Model Manager enables efficient scoring, monitoring, and retraining of models across various deployment environments, thus ensuring consistency and compliance.
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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
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Amazon SageMaker - Accelerate your machine learning lifecycle
Operationalize and streamline the lifecycle of machine learning models from creation to deployment.
Manage and monitor risk assessment models to ensure accuracy and compliance.
Optimize customer experience by deploying and managing predictive models effectively.
Deploy and monitor fraud detection models in real-time to mitigate risks.
Ensure seamless integration and deployment of analytics models across different environments.
Leverage model management tools to maintain compliance and governance.
Analyze consumer behavior and optimize inventory through predictive modeling.
Drive healthcare improvements by managing models aimed at predicting patient outcomes.
Enhance risk management efforts by deploying accurate and compliant models.
Utilize model management for public sector applications such as resource allocation and policy evaluation.
Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive.