KEYWORD: EMERGING ARCHITECTURES & TECHNOLOGIES, ANY
EVENT TYPE: SKY TALK
Automating Intelligence: Machine Learning and the Future of Manufacturing
Anna-Katrina Shedletsky - Instrumental, Inc., Los Altos, CA
McKenzie Ross - Worldwide Women in Electronic Design (WWED) & OneSpin Solutions GmbH, CA
There are a lot of buzzwords floating around the manufacturing world these days: IoT, AI, machine learning, deep learning, Industry 4.0 … all these words sound impressive, but what’s actually going on? Anna-Katrina Shedletsky dives into real-world examples of how automation and greater access to manufacturing data is enabling the rise of manufacturing intelligence. She covers a brief background on factory automation, discusses what buzzwords actually mean for the industry, and presents case studies on how machine learning algorithms are already aiding anomaly detection on assembly lines. To wrap up, Anna looks to the future of automation, explaining from personal experience how it has the potential to help companies from a broad range of sectors to dramatically reduce build delays and costly product recalls.
Biography: Anna-Katrina Shedletsky is the CEO and founder of Instrumental, a manufacturing data company that uses machine learning to find anomalies on consumer electronics assembly lines. She has two degrees in mechanical engineering from Stanford University, and went on to work as a Product Design Engineer at Apple. During her six years there, she designed mechanical components for three iPods and led system product design for the Apple Watch Series 1. After spending over 300 days in China finding and fixing issues on manufacturing lines, she started Instrumental to build an intelligent quality system to modernize manufacturing. Instrumental customers range from startups to Fortune 500s and span consumer electronics, apparel, and more.