Scott Ferguson is a founder and Chief AI Officer who helps investors and executives make smart AI decisions for industrial markets, blending eight years of applied AI practice with deep academic roots in computational linguistics (PhD, Harvard). He founded Ferguson Analytics and serves as an AI advisor and limited partner at MoreThan Capital while advising startups like Kezo, translating research-grade techniques into business impact across energy and industrial customers. Previously he led Data Analytics and AI at New Era Technology and built analytics teams and integration platforms at McDermott and Shaw, giving him strong domain experience in energy and enterprise systems. Scott’s background includes a postdoc in language technology from the University of Geneva, which explains his fluency in both language-centered AI and production-ready analytics. He combines strategic investor-facing guidance with hands-on model and architecture judgment, often focusing on pragmatic deployment and risk-aware adoption. Based in Houston, he brings an uncommon mix of academic rigor, operator experience, and investor perspective to industrial AI decisions.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Linguistics (Syntax Computational Linguistics), Doctor of Philosophy - PhD Linguistics (Syntax Computational Linguistics) at Harvard University
Post Doc Laboratoire d'Analyse et de Technologie du Langage, Post Doc Laboratoire d'Analyse et de Technologie du Langage at University of Geneva
Bachelor of Science Computer Science, Bachelor of Science Computer Science at Louisiana State University
Contributions:25 commits, 3 PRs, 10 pushes in 1 month
nlpldaphoneticswordslanguage-models
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Scott Ferguson - Founder Chief AI Officer at Kezo Inc.