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SAS Visual Machine Learning
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About SAS Visual Machine Learning
SAS Visual Machine Learning is an enterprise-grade platform designed to streamline the development, deployment, and management of machine learning models. The tool provides an intuitive drag-and-drop interface that allows users to build, test, and refine models without requiring extensive coding expertise. It supports a wide range of pre-built algorithms and models, enabling rapid experimentation and iteration to identify the most effective solutions for specific business challenges. The platform is built to handle large-scale datasets, offering robust data access, preprocessing, and analysis capabilities. Users can seamlessly integrate data from multiple sources, apply advanced analytics, and generate actionable insights to inform strategic decisions. SAS Visual Machine Learning also emphasizes scalability and governance, ensuring models can be deployed efficiently across organizations while maintaining compliance and reproducibility. It is particularly suited for data scientists, analysts, and business users who need a collaborative environment to accelerate machine learning workflows and drive data-driven outcomes.
SAS Institute
Cary, United States · Founded 1976
- Founders
- Anthony James Barr, James Goodnight, John Sall, Jane Helwig
- Founded
- 1976
- Headquarters
- Cary, United States
Key features
- Create complex ML models quickly without coding
- Leverage pre-built models & algorithms
- Access & analyze large datasets
Use cases
- Building and deploying advanced machine learning models for predictive analytics
- Analyzing large datasets to gain deeper insights and make informed decisions
- Creating complex ML models quickly without coding expertise
Pros
- Browser-based low-code/no-code platform enabling rapid model development without extensive coding expertise
- Supports collaboration across teams with shared data science workflows and model deployment capabilities
- Integrates generative AI assistance (SAS Viya Copilot) for natural language model building and explanation
- Automates data preparation, model training, and deployment processes to streamline workflows
- Offers flexibility with customization options using Python, R, and SAS code alongside automated tools
Cons
- May require familiarity with SAS ecosystem for advanced customization and integration
- Dependence on SAS Viya platform could limit compatibility with non-SAS environments
- Learning curve for users unfamiliar with machine learning concepts despite low-code features
Frequently asked questions about SAS Visual Machine Learning
What is SAS Visual Machine Learning?
SAS Visual Machine Learning is a browser-based, low-code and no-code machine learning platform that enables users to build, compare, and deploy predictive models in a single environment. It supports both business analysts and data scientists by automating data preparation, model training, and deployment.
Who is SAS Visual Machine Learning designed for?
The tool is designed for business analysts and data scientists who need to build, manage, and deploy AI and machine learning models efficiently without extensive coding. It also supports collaboration across teams for cross-functional workflows.
How does SAS Visual Machine Learning work?
Users can build models using a low-code or no-code interface, leverage AutoML capabilities for automation, and customize workflows with Python, R, or SAS code. The platform also includes a generative AI assistant, SAS Viya Copilot, to assist in model development.
What integrations does SAS Visual Machine Learning support?
The platform allows for customization with Python, R, and SAS code, enabling integration with existing data science workflows and tools. It also supports collaboration features for sharing data science workflows across teams.
What are the key features of SAS Visual Machine Learning?
Key features include automated data preparation, model training and deployment, a low-code/no-code interface, AutoML capabilities, and a generative AI assistant for model development. It also supports collaboration and customization with programming languages.
How can I get started with SAS Visual Machine Learning?
Prospective users can try SAS Visual Machine Learning by accessing a free trial of SAS Viya, which includes the platform. Additional resources such as training, documentation, and community support are available to help users get started.
