Tom Sabo
Principal Solutions Architect, SAS

Tom Sabo is a principal solutions architect at SAS. He’s been immersed in the field of text analytics as it applies to federal government challenges since 2005. 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 and 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

16:50–17:30 Thursday, 17 October 2019

Location: Buckingham Room - Palace Suite

An artificial intelligence framework to counter international human trafficking

Models and Methods

Secondary topics: Ethics, Security, and Privacy, Machine Learning, Text, Language, and Speech

Tom Sabo (SAS)

Average rating:

(4.50, 2 ratings)

Efforts to counter human trafficking internationally must assess data from a variety of sources to determine where best to devote limited resources. Tom Sabo explores 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.