Acerta Analytics Nov_29 .pdf - THE MS2DISCOVERY INTERDISCIPLINARY RESEARCH INSTITUTE Waterloo | Canada Applying Machine Learning in Vehicle

Acerta Analytics Nov_29 .pdf - THE MS2DISCOVERY...

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THE MS2DISCOVERY INTERDISCIPLINARY RESEARCH INSTITUTE Applying Machine Learning in Vehicle Manufacturing Waterloo | Canada Jean-Christophe Petkovich | Acerta Analytics Solutions Vehicles are very complex systems, with a huge intersection of mechanical and electrical components and built in software control functions. As a result, there is a huge amount of data being generated from the systems within a car, much more than can be handled by most diagnostic tools. To continue ensuring a high level of quality and operational efficiency, manufacturers are turning to AI. However, there are numerous challenges that make application of approaches that work well in research difficult in a real-life manufacturing environment. The discussion will focus on some prominent challenges with data
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Unformatted text preview: quality, dynamic and continuously changing data streams, and scalable deployment of models. Hosted by Sunny Wang MS2Discovery Institute wlu.ca/MS2discovery Hosted at Nov 29, 2019 at 3pm Lazardis Hall, LH2066 @MS2DiscoveryIns [email protected] Jean-Christophe Petkovich is the CTO and co-founder of Acerta Analytics Solutions. He is a PhD candidate in computer engineering at the real-time embedded software group at the University of Waterloo and has over 10 years of experience in data analysis, pattern recognition, statistical modelling, and machine learning. Jean-Christophe’s extensive work history includes writing software for safety-critical systems for leaders in the transportation industry, including QNX and Bombardier....
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