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.

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.

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

Visit Booth 1129 for a chance to a win.

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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