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SAS Features Innovations in Automated Machine Learning, Computer Vision and NLP to Improve Decision Making

SAS Features Innovations in Automated Machine Learning, Computer Vision and NLP to Improve Decision Making

Latest SAS Platform Release Helps Businesses and Data Scientists Put Analytics in Action by Automating Complex Tasks

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SwissCognitiveSAS, the leader in advanced analytics, is enhancing its automated, simple, and powerful analytics platform to help digital disruptors and emerging leaders blaze a trail forward. The updated SAS Platform delivers additional innovation in (), specifically in the areas of , computer vision, () and other technologies that underpin .

Building on its recently announced $1 billion investment in , 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 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 technology along with data scientists and analytics experts, and understand how the analytics arrived at its results.

“Too many companies are caught in science-project mode and don’t have the know-how to make the leap to a 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 and analysis to innovate. We’re making real.”

SAS has simplified computer vision for a wide array of applications. New capabilities like automatic segmentation can, for example, help doctors quickly identify changes in the shape and size of tumors and note their color to better fight disease.[…]

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