Industrial Problems Seminar: Lessons Learned in Deploying AI in Manufacturing

In collaboration with the Minnesota Center for Industrial Mathematics, the Industrial Problems Seminars are a forum for industrial researchers to offer a first-hand glimpse into industrial research. The seminars take place Fridays from 1:25 p.m. - 2:25 p.m.

This week's speaker, Eric Wespi (Boston Scientific), will be giving a talk titled "Lessons Learned in Deploying AI in Manufacturing."

You may attend the talk either in person in Walter 402 or registering via Zoom.

Abstract

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.

Biography

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.