Put AI to Work
April 15-18, 2019
New York, NY
Tom Sabo

Tom Sabo
Principal Solutions Architect, SAS

Website

Tom Sabo is a principal solutions architect at SAS. Since 2005, he has been immersed in the field of text analytics as it applies to federal government challenges. Tom presents work internationally on diverse topics including modeling applied to government procurement, best practices in social media analysis, and using analytics to leverage and predict research trends. He also served on a panel for the Institute of Medicine’s Standing Committee on Health Threats Resilience to inform DHS/OHA on social media strategies. He holds a bachelor’s degree in cognitive science and a master’s in computer science, both from the University of Virginia.

Sessions

4:05pm4:45pm Wednesday, April 17, 2019
Location: Sutton South
Tom Sabo (SAS)
Sources of international human trafficking data contain a wealth of textual information that is laborious to assess using manual methods. Tom Sabo demonstrates text-based machine learning, rule-based text extraction to generate training data for modeling efforts, and interactive visualization to improve international trafficking response. Read more.