SAS Adding AI Capabilities to its Analytics Platform

SAS Viya enhancements extend the SAS Platform to deliver new capabilities for analytics-driven organizations

SAS is helping customers gain more value from data with the SAS Platform and its SAS Viya capabilities. These newest advances, such as embedded artificial intelligence (AI) capabilities, will further address the needs of organizations that are putting analytics at the core of their business.

With SAS, data scientists, analysts, developers, IT, domain experts and executives can all generate data-driven insights – from the same, consistent data, fostering greater collaboration and driving innovations into production faster. SAS continues to deliver new capabilities, such as image recognition, deep learning and natural language understanding into the SAS Platform.

The SAS Platform encompasses the entire analytics life cycle
The SAS Platform, which includes SAS Viya products, helps users quickly create value from data by seamlessly transitioning through the stages of the analytics life cycle – from data to discovery to deployment. SAS is the sole leader in The Forrester Wave™: Enterprise Insight Platform Suites, Q4 2016. The Forrester report states:

“SAS offers a balance between strength of current offering and a platform strategy. SAS has best-in-class analytics coupled with a breadth of good data management for streaming, virtualization and master data management. It has made progress simplifying its tools, and its recently launched SAS Viya offers promises to go even further in modifying and simplifying its architecture.”

New enhancements to the SAS Platform for the remainder of 2017 include:

Embedded AI capabilities in the SAS Platform, starting with SAS Visual Data Mining and Machine Learning and SAS Visual Text Analytics. Building on a long history of machine learning, these SAS products provide deep learning and natural language understanding to enhance the depth of insights derived from data.

Single interactive interface that spans a wide range of analytics tasks and disciplines to help non-coders solve complex problems faster.

SAS Data Preparation for self-service, visual data wrangling, transforming, blending and cleansing data, with application-generated code fit for IT scheduling environments.

SAS Visual Text Analytics, a modern, flexible and end-to-end text analytics framework that combines text mining, contextual extraction, categorization, sentiment analysis and search. It automates feature extraction and business-rule generation using modern machine learning approaches.

SAS Visual Analytics for self-service discovery and analytics adds new ways to visualize data relationships, taps into the power of location analytics, and brings a refined user experience.

Cloud deployment through the SAS Cloud, Amazon Web Services, Microsoft Azure and others, including SaasNow.

Analytics Experience Amsterdam
Today’s announcement was made at the Analytics Experience conference in Amsterdam, a business technology conference presented by SAS that brings together thousands of attendees on-site and online to share ideas on critical business issues.