SAS Enriches AI Offerings with New ML and NLP Software

SAS has introduced a new offering, SAS Visual Text Analytics, and significant enhancements to SAS Visual Data Mining and Machine Learning as part of the latest release of the SAS Platform

According to the vendor, SAS Visual Text Analytics extracts value from unstructured data using the combined power of natural language processing (NLP), machine learning and linguistic rules. It addresses business challenges across industries, including managing and interpreting notes, assessing risk and fraud, and using customer feedback for early detection of problems. Capabilities of SAS Visual Text Analytics include text mining, contextual extraction, categorization, sentiment analysis and search within a modern and flexible framework. The software allows users to prepare data for analysis, visually explore topics, build text models and deploy them within existing systems or business processes. Users can quickly analyze large volumes of data using predefined templates and integrate the output of text analytics with other machine learning and forecasting techniques.

The new release of SAS Visual Data Mining and Machine Learning offers an end-to-end visual environment that covers all aspects of machine learning and deep learning—from data access and data wrangling to sophisticated model building and deployment. In-memory, distributed processing provides faster answers to critical business questions and more efficient use of valuable data and skilled staff. It also supports programming from popular open source languages like Python and R.

One of the notable aspects of this release of the SAS Platform, according to the company, is a web interface that unifies the entire analytics lifecycle, helping cross-divisional teams collaborate. This means that all activity—from data preparation, to interactive discovery and exploration to model building and deployment—is supported from a single, visual interface. This tightly integrated environment speeds the production of modern machine learning algorithms that can, for example, build more profitable customer relationships, fight fraud and effectively manage risk.

For more information, go to www.sas.com.