SAS Steers Toward Stronger AI Data Lifecyle Via Viya

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SAS Steers Toward Stronger AI Data Lifecyle Via Viya

SAS Institute, founded in 1976, has evolved its technology to adapt to modern AI needs. The company’s flagship platform, SAS Viya, is designed to enhance the AI data lifecycle, enabling faster data preparation and model development. Recent innovations include the SAS Viya Workbench, a self-service environment that supports multiple programming languages for AI model building.

The Viya Workbench emphasizes developer productivity and flexibility, allowing users to tailor compute resources to project needs. SAS is also developing additional tools like Viya Copilot and SAS Data Maker, which aim to streamline analytics tasks and generate synthetic data for various applications. These advancements position SAS as a key player in the competitive AI landscape.

• SAS Viya accelerates data lifecycle tasks by 4.6 times compared to competitors.

• Viya Workbench supports multiple programming languages for AI model development.

Key AI Terms Mentioned in this Article

Synthetic Data

SAS Data Maker creates synthetic data to address privacy concerns and facilitate analysis when original data is unavailable.

AI Model Development

The SAS Viya Workbench provides a platform for developers to build and optimize these models efficiently.

Data Lifecycle

SAS Viya enhances the data lifecycle by streamlining data collection, model building, and decision deployment.

Companies Mentioned in this Article

SAS Institute

The company’s innovations, particularly with SAS Viya, position it as a significant player in the AI landscape.

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