Dragos is a Principal Solutions Architect at SAS. His experience represents a unique blend of skills including machine learning development, applied data science, and customer engagement, which he uses to architect any business problem into an automated analytical software solution. Primarily targeting user enablement, he is the architect of the dynamic Machine Learning Pipeline Automation engine of SAS’s Visual Data Mining and Machine Learning capability. His career has been focused on leading creative analytics projects and process automation across the analytical life cycle and across analytical domains. Dragos holds degrees in Advanced Analytics and Biochemistry from NC State University.
I will show you how to deploy multi-stage deep learning (DL) models in SAS Event Stream Processing (ESP) and leverage ESP on Edge via Docker containers to identify events of interest.
