Reference number : GC-2017-Q1-00410, amendment number : , agreement type : G, recipient legal name : Gopaluni, Bhushan (The University of British Columbia), recipient country : CA, recipient province : nan, recipient city : British Columbia|Colombie-Britannique, recipient postal code : nan, program name english : Engage Grants for Universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Industrial processes generate large volumes of data that are often not utilized fully. We are currently in the_x000D_
throes of a major data revolution driven by the advances in machine learning and artificial intelligence. We are_x000D_
proposing to bring these new techniques to the process industry. Sanofi Pasteur is the largest manufacturer of_x000D_
vaccines in the world. However, several processes that they use experience unexpected and unexplained_x000D_
anomalous behaviours. We are proposing to use novel machine learning algorithms to analyze the data in new_x000D_
ways and identify anomalous behaviour., program purpose french : Industrial processes generate large volumes of data that are often not utilized fully. We are currently in the_x000D_
throes of a major data revolution driven by the advances in machine learning and artificial intelligence. We are_x000D_
proposing to bring these new techniques to the process industry. Sanofi Pasteur is the largest manufacturer of_x000D_
vaccines in the world. However, several processes that they use experience unexpected and unexplained_x000D_
anomalous behaviours. We are proposing to use novel machine learning algorithms to analyze the data in new_x000D_
ways and identify anomalous behaviour., agreement title english : Data analytics to detect, isolate and predict anomalies in a vaccine production process, agreement title french : Data analytics to detect, isolate and predict anomalies in a vaccine production process, agreement number : EGP, agreement value : 24250.0, agreement start date : 2017-04-25, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2018-2019), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2018-2019), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada