Tom Sabo is an advisory solutions architect at SAS who, since 2005, has been immersed in the field of text analytics and AI as it applies to government challenges. He presents work internationally on diverse topics including deep learning applied to adverse health event assessments, counter human trafficking solutions, and combining text analytics and generative AI for public sector solutions including food safety applications, disease surveillance, and regulations analysis. Tom developed much of the SAS strategy for bringing innovative work from the public health sector to related health and life sciences sectors. He is also deeply involved in pioneering work combining SAS text analytics solutions with large language models across many government and commercial use cases. He holds a bachelor’s degree in cognitive science and a master’s in computer science, both from the University of Virginia.