SAS® Visual Data Mining and Machine Learning propels powerful self-learning analytics to produce insight that matters
The new software is part of the SAS® Viya™ platform, an open, cloud-ready analytics architecture ready for the future
The relentless increase in computing power and the accumulation of big data over the years has sparked intense interest in machine learning and its associated techniques. The new SAS® Visual Data Mining and Machine Learning software, available later this month, will feed this need for smarter analytics.
Advanced analytics offer insight to businesses, but machine learning and deep learning algorithms take it deeper, revealing insights that were previously out of reach. For example, machine learning use can include facial recognition in security systems, speech recognition in customer service applications, accurate product recommendations in e-commerce, self-driving cars and medical diagnostics.
Designed to boost data scientist productivity, SAS Visual Data Mining and Machine Learning features:
- Flexible, web-based programming.
- Highly scalable, in-memory data manipulation and analytical processing.
- Powerful data manipulation and management.
- Data exploration, variable transformations and dimension reduction.
- Modern statistical, data mining and machine-learning techniques.
- Integrated text analytics.
- Model assessment and scoring.
- Access to algorithms from Python, Lua, Java.
“SAS Data Mining and Machine Learning is built on the company’s solid expertise and reputation of delivering scalable and adaptable analytics that solve real business problems and yield measurable business value,” said Jonathan Wexler, SAS Analytics Product Manager. “This software helps provide positive outcomes to increase profitability, better understand customer behavior and decrease the cost of doing business.”
SAS Visual Data Mining and Machine Learning is one of the initial analytics applications on the SAS Viya platform. SAS Viya is an innovative analytics environment designed for use in the cloud that provides the power of SAS Analytics through SAS interfaces as well as open APIs for Python, Lua, Java and REST.
The new analytics offerings for SAS Viya are structured for a diverse range of users, while maintaining consistency and manageability. In addition to SAS Visual Data Mining and Machine Learning for data scientists, the Viya family will include SAS Visual Analytics for business analysts and SAS Visual Statistics, aimed at experienced statistical users.
The breadth of SAS Viya applications will satisfy the appetites of all user types, while maintaining a consistent structure. The speed of the multithreaded parallel processing engine in SAS Viya will drive faster decisions. And the strength of analytics from the advanced analytics leader will produce trusted results.
To better understand the need, applications and benefits of machine learning, please visit Machine Learning: what it is and why it matters.
Today's announcement was made at the Analytics Experience conference in Las Vegas, a business technology conference presented by SAS that brings together more than 10,000 attendees on-site and online to share ideas on critical business issues.
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