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SAS is proud to be a Zettabyte Sponsor of the Strata Data Conference

Booth 529 | Sept. 26-28 | Javits Center | New York

Get 20% off registration! Use code SAS20

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Experience Your New Possible™

Schedule a meeting with a SAS expert to learn how our trusted analytics platform can help you harness your big data and discover big insights.

Join us to see a demo and speak with a SAS expert about:

  • Our diverse, trusted and scalable analytics platform.
  • Data management for Hadoop.
  • Exploring, understanding and visualizing big data.
  • Artificial intelligence, machine learning and the Internet of Things.
  • Advanced analytics for business, customer intelligence, fraud and security, and more.

And learn more about the SAS® Platform

The SAS Platform is a software foundation engineered to generate insights from data in any computing environment, supporting every phase of the analytics life cycle.

The knowledge gained from tens of thousands of time-tested customer deployments gives our platform tremendous diversity in capabilities, a remarkable ability to scale and an unmatched ability to cover the entire analytics process.

Stop by Booth 529 for a chance to win

BeatsX Headphones

Chat with our experts and enter for a chance to win a pair of BeatsX wireless earphones. 

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SAS Presentations

Real-Time Recommendation Engines Using SAS® Technology

Wednesday, Sept. 27 at 1:15 p.m. in Room 1A 01/02

Juthika Khargharia, Senior Solutions Architect

How does your favorite website serve up the perfect content tailored just for you? It's all based on machine learning – a field whose popularity has been refueled by taking advantage of the rapid advances in computing technology. By providing the ability to continuously adjust machine learning models based on real-time data, one can visualize changes and take action on the new information in real time. This session explores how SAS Visual Data Mining and Machine Learning, combined with SAS Event Stream Processing, can be applied to build a recommendation engine and surface these recommendations on real-time data.

The Five Components of a Data Strategy

Thursday, Sept. 28 at 11:20 a.m.in Room 1A 18

Evan Levy, Vice President of Data Management Services

While few would argue the need for a organizations to have a comprehensive data strategy, few have actually developed a strategy and plan to address to improve the access, sharing, and usage of data. Evan Levy discusses the five essential components that make up a data strategy and explores the individual attributes of each.

Meeting the Challenges of the Analytics Economy

Thursday, Sept. 28 at 2:05 p.m. in Room 1A 04/05

Fiona McNeill, Principal Product Marketing Manager

Much is being written about the economy of everything: from cloud to big data to APIs to the Internet of Things to artificial intelligence. So where does the analytics economy fit in? Just like other economies, the analytics economy offers the chance for new ways for organizations to disrupt traditional business models or be disrupted themselves. But doing so requires realization of value driven from the application of analytics to data. We will explore the SAS vision and road map for meeting the unique challenges of the analytics economy, including thoughts on intersections with related technologies like machine learning, deep learning, cognitive computing and more.

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