Analytics 101 – Part 2 | SAS

On-Demand Webinar

Analytics 101 (Part 2)

Join us for a deeper dive into analytics and learn how to use AI and machine learning techniques to gain meaningful insights from unstructured text.

About the webinar

In part one of our series, we introduced you to the field of analytics and discussed the variety of techniques available to uncover meaningful insights from data.

In part two, we’ll discuss the power of artificial intelligence and machine learning techniques to quickly and easily gain meaningful insights from unstructured text. And we’ll debunk the myth that you must be a data scientist or programmer to gain these insights.

If you’ve been curious about whether your small to midsize business could benefit from analytics, but weren’t sure where to start, this is the perfect webinar series for you!

You will learn:

  • What are the analytical methods that can be applied to unstructured text?
  • What is the difference between artificial intelligence and machine learning?
  • How does unstructured data analysis drive insight to better business decisions?

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About our expert guests


Sharon Walker
Systems Engineer, SAS

Sharon Walker is a Systems Engineer at SAS, focusing on the use of analytics and machine learning tools in small and midsize businesses. Prior to SAS, she worked in a variety of industries, including software, telecommunications, financial services, online retail and pharmaceuticals. Sharon holds a master’s in analytics from NC State University and an MBA from the Wharton School of Business.


Sal Ciaravino
Systems Engineer, SAS

Sal Ciaravino is a SAS Systems Engineer supporting SMB with a focus on machine learning. Sal has a master’s degree in applied statistics from the University of Alabama, where he was first introduced to the power of predictive analytics using SAS software.

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