Monday, December 9 • 10:45am - 11:15am
(Artificial) Intelligence in High Volume Manufacturing

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Seagate Technology manufactures and excess of 2 million HDD heads per day. Robust manufacturing of this many units provides unique challenges that are well aligned with machine learning analytics strengths. In this session, we will describe a successfully demonstrated defect inspection application and discuss challenges in scaling the application to a high volume production environment. The discussion will highlight organizational, hardware, and software learning that is valuable for scaling machine learning applications.

avatar for Gary Kunkel, MS, PhD

Gary Kunkel, MS, PhD

Managing Principal Engineer, Seagate Technology
Lead metrology and analytics team developing factory systems leveraging machine learning, IoT, and manufacturing 4.0. Gary joined Seagate in 2006 and has held roles in system, sensor, design, model, test, reliability, and process development.

Monday December 9, 2019 10:45am - 11:15am CST
Auditorium (Floor 3) Science Museum of Minnesota, 120 W Kellogg Blvd, St. Paul, MN 55102