Lessons Learned in Deploying AI in Manufacturing

Eric Wespi (Boston Scientific)

Implementing AI models in a manufacturing environment can present several challenges.  In this session we will discuss both technical and cultural considerations for the deployment of AI-based machine vision in a regulated industry.  Topics include supporting data architecture, messaging to senior leadership, addressing uncertainty about black-box models, make/buy decisions, and talent acquisition and retention.

Eric Wespi is a Data Science Fellow at Boston Scientific.  He manages a Data Science team within the Process Development organization and leads efforts to implement AI-based computer vision in manufacturing facilities globally.  Eric has worked at Boston Scientific for 6 years, prior to which he held various engineering roles at Intel.  He has a bachelor’s degree in Chemical Engineering from the University of Minnesota and an MBA from Arizona State University.  In his spare time Eric enjoys spending time with his family, cooking, and various other outdoor activities.