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Join SAS at Strata Data Conference

Booth 1129 | Sept. 11 – 13 | New York

Get 20% off registration! Use code SAS20

SAS is a proud Zettabyte Sponsor of the event.

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Build Something Brilliant

Discover how the SAS® Platform unites the best in AI and analytics under a single environment.

Schedule a meeting with a SAS expert today.

Visit our booth to learn about:

  • AI, machine learning and IoT.
  • Data management.
  • Data integration.
  • Big data visualization.
  • Advanced analytics.

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 unmatched coverage of the entire analytics process.

Amazon Echo Spot

We’re giving away an Amazon Echo Spot every day of the conference!

Visit Booth 1129 for a chance to a win.

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Don't miss our presentations


Commercial Software in an Increasingly Open Source Ecosystem

Wednesday, Sept. 12 | 11:20 a.m. – noon
Location: Room 1E 06

Paul Kent, Vice President of Global Enablement, SAS

Software is eating the world, and open source is eating the software. Most contemporary analytics shops use a lot of open source software in their analytics platform. So where does commercial software like SAS® fit?

This session explores how you can achieve the best of both worlds by combining your favorite open source software with the power of SAS Analytics. We discuss patterns found in a range of scenarios, from on-site to cloud deployment.


Rationalizing Risk in AI/ML

Wednesday, Sept. 12 | 4:35 – 5:15 p.m.
Location: Room 1E 12/13

Kimberly Nevala, Director of Business Strategies, SAS

Too often, the discussion of AI and ML includes an expectation – if not a requirement – for infallibility. But as we know, this expectation is not realistic. So what’s a company to do? While risk can’t be eliminated, it can be rationalized. This session will demonstrate how an unflinching risk assessment enables AI/ML adoption and deployment.

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