SAS features innovations in automated machine learning, computer vision and NLP

Latest SAS Platform release helps businesses and data scientists put analytics in action by automating complex tasks

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SAS features innovations in automated machine learning, computer vision and NLP SAS CEO Jim Goodnight.
By  Kevin Sebastian Published  May 6, 2019

SAS is enhancing its automated, simple, and powerful analytics platform to help digital disruptors and emerging leaders.


The updated SAS Platform delivers additional innovation in artificial intelligence (AI), specifically in the areas of machine learning, computer vision, natural language processing (NLP) and other technologies that underpin AI. Building on its recently announced $1 billion investment in AI, SAS is also refining computer-vision software to help organizations use visual data to improve business outcomes.

“Our continuous innovation, clearly exhibited in the SAS Platform and in SAS AI technologies, propels front-line business, executives and data scientists to change the trajectory of their organizations with advanced analytics,” said SAS CEO Jim Goodnight.

With the latest release of the SAS Platform, SAS automates the complex tasks required to build world-class analytical models. Data cleansing, data transformations, selecting best variables, model building and comparing models, model deployment and retraining tasks are automated while using established best practices.

Operationalizing analytics through interpretability and explainability

The SAS Platform automatically compares thousands of analytical models to help choose the best for a given business problem. Using natural language generation (NLG), analytical results are displayed in plain language, so users of all backgrounds can easily interpret them and make informed business decisions faster.

This helps democratize analytics, as business users and executives can use AI technology along with data scientists and analytics experts, and understand how the analytics arrived at its results.

“Too many companies are caught in AI science-project mode and don’t have the know-how to make the leap to a machine learning model that meaningfully affects business,” said Oliver Schabenberger, SAS Executive Vice President, Chief Operating Officer and Chief Technology Officer. “Thousands of SAS PhDs and data scientists are helping customers with strategies to transform data into intelligence, and our extensive training is helping build skills in organizations. We’re simplifying our technology to help users of all skill levels use powerful AI and ML analysis to innovate. We’re making AI real.”

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