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SAS Viya

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description SAS Viya Overview

SAS Viya is a modern analytics platform that delivers AI capabilities through a cloud-native architecture designed for enterprise scalability. It includes automated machine learning features that help users generate insights from complex datasets without manual intervention. The system integrates with existing SAS codebases while offering new Python and R environments for advanced statistical modeling tasks within secure corporate networks.

help SAS Viya FAQ

What does SAS Viya include beyond machine learning?

SAS Viya combines data management, analytics, governance, reporting, and model development in one platform. SAS lists products such as Visual Analytics, Visual Statistics, Machine Learning, and SAS Data and AI Studio as part of the Viya environment ([SAS](https://support.sas.com/en/software/sas-viya.html)).

Can analysts use SAS Viya without writing code?

Yes. SAS Model Studio provides a browser-based low-code and no-code interface for building, comparing, and deploying models, while advanced users can add SAS, Python, or R code. Its AutoML tools can automate feature engineering, model training, tuning, and selection ([SAS Model Studio](https://www.sas.com/en_us/software/model-studio.html)).

Can SAS Viya run in cloud and on-premises environments?

SAS describes Viya as supporting cloud, hybrid, and on-premises deployment options. The platform is designed to remain cloud-native while allowing organizations to choose managed or self-managed deployment ([SAS](https://www.sas.com/en_us/software/viya.html)).

How does SAS Viya support model explainability?

SAS Model Studio includes interpretability reports such as LIME, ICE, Kernel SHAP, and partial-dependence heatmaps. Viya also includes governance features for model validation, fairness, lineage, and auditability ([SAS Model Studio](https://www.sas.com/en_us/software/model-studio.html)).

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