Speaker "Steven Gustafson" Details Back



Dispelling AI Hype with a Real-World, Deployed NLP Model Case Study.


Industrial applications of AI have suffered a loss of confidence as systems integrators, consultants, and academics propose best case scenarios and hypothetical use cases.  While AI technology can yield massive rewards, failed proof of concepts and pilots that can not live up to their hype harm everyone across the industry.  AI is still an advanced technology.  AI requires users to adapt their existing processes to fully benefit from it.  Deployed AI models typically need to undergo significant customization and innovative training to make them perform on actual industrial use-cases.  It is important to share what a real-world, deployed AI system looks like and what it took to prepare so that others can understand the staffing and system requirements as well as properly set expectations.  In this talk, I present our work on deploying an NLP model for the NER task in our investment managed focused product that builds a large-scale knowledge graph out of natural language data.  


Dr. Gustafson is the CTO at Noonum, a FinTech startup that delivers insights on companies and markets using advances in NLP and AI. He received his PhD in Computer Science and Artificial Intelligence  from the University of Nottingham, UK, where he was a research fellow in the Automated Scheduling, Optimisation and Planning Research Group.   Shortly thereafter, Dr Gustafson was awarded IEEE Intelligent System's "AI's 10 to Watch" for his work in algorithms that discover algorithms. For 10+ years at GE's corporate R&D center he was a leader in AI, successful technical lab manager, all while inventing and deploying state-of-the-art AI systems for almost every GE business, from GE Capital to NBC Universal and GE Aviation. He has over 50 publications, 13 patents, was a co-founder and Technical Editor in Chief of the Memetic Computing Journal. As the Chief Scientist at a Knowledge Platform software company for 3 years, he invented and architected new AutoML and NLP microservices for industrial customers while growing an international data science and research team. With a passion for solving problems and innovation, Steven is excited about Noonum's opportunity to use AI to deliver insights and enable better decisions in financial markets and other industries.