Take advantage of the latest innovations in SAS Viya, a cloud-enabled and open analytics engine that delivers everything you need for quick, accurate and consistent results – every time.
Automated machine learning.
The most advanced machine learning capabilities in the world are now automated. SAS Viya automates the process of data cleansing, data transformations, feature engineering, algorithm matching, model training and ongoing governance. With this level of automation, you can still control and configure results as needed.
Insights for all in plain language.
SAS Viya makes insights accessible to everyone by displaying results from your data in plain, easy-to-understand business terms. A new Insights tab not only shows the results of automated machine learning, but also explains how the results affect a business problem in language that anyone can understand.
Accelerated computer vision for health care.
A new deep learning model simplifies analysis by automatically separating images into individual segments. Health care providers can use this technique to quickly discern changes in the shape, size and color of tissue, enabling more accurate predictions of progression of certain diseases, such as cancer. Additional enhancements to the SAS Biomedical Image Action Set make it easier for health care providers to use computer vision.
Natural language processing for everyone.
With a team of linguists working around the world, SAS provides out-of-the-box natural language processing (NLP) functionality, as well as automated rule generation across 33 languages. The SAS Platform enables you to easily build and deploy NLP models with a simple point-and-click interface, making it an automated, powerful solution that puts AI at everyone’s fingertips.
Ability to better predict the future.
More accurate forecasting leads to better business decisions. While everyone’s data is different, SAS Viya can automatically recognize time series data for short history products, seasonal items, intermittent demand, or other segmentations of product behavior. Forecasters can apply the most relevant strategy to each segment using a wide selection of traditional time series, as well as machine learning models.
Economic scenario visualization.
New modeling and visualization enhancements enable business analysts and econometricians to build realistic simulations of complex economic and business scenarios. This broad and expanding array of econometric and time series techniques can have a significant, positive financial impact by providing a scientific basis for better decision making.