On-Demand Webinar

Getting Started with Natural Language Processing


About the webinar

Unstructured text is the largest human generated data source and it grows exponentially by the minute.

This unstructured data holds a wealth of insights about your business – both in terms of opportunities  but also potential risks – yet the complexity and inherent disorder of text data can make it challenging to uncover insights.    

Join us for a webinar where we will talk about how text analytics can help you make the most of your unstructured data to drive smarter, faster business decisions.

What you will learn:

  • Applicable use cases, approaches, and trade offs
  • Practical tips and best practices to adopt NLP in your organization
  • Real-world examples

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About the Experts

Katie Tedrow
Global Product Marketing Manager for AI

At SAS, she focuses on all things Natural Language Processing and Analytics Visualization. She has deep experience in both B2B and B2C marketing within the professional services, tech and financial services industries. Prior to joining SAS, she was a product marketing and digital brand strategy lead at a large financial services company, where she helped to launch the first natural language chatbot for a US bank. Katie holds a bachelor’s degree from North Carolina State University and MBA from the University of Maryland.

Federica Citterio
Data Scientist, SAS Global Technology Practice

Federica is a Data Scientist at SAS, working across EMEA on the latest SAS technologies involving Artificial Intelligence. She is excited about combining business and data science to help companies make better decisions, grounded in trusted data and assisted by analytics. Federica holds a master’s degree in applied mathematics from University of Milan, majoring in Statistics, Probability and Numerical Analysis.

Heather Goodykoontz
Analytic Consulting Manager
SAS US Professional Services

Heather is an Analytic Consulting Manager within SAS US Professional Services. For the past 9 years she has enjoyed tackling business problems involving unstructured data. She has discovered insights and built operational analytic solutions for hospitality, financial institutions, federal intelligence agencies, sports teams, retail, manufacturing and non-profits. 

Prior to joining SAS, she performed player analytics for Major League Baseball. Heather holds a bachelor’s degree in Applied Mathematics with minors in Statistics and Art and Design and a master’s degree in Advanced Analytics from North Carolina State University.