Can you tell us about your job? Quentin Grimonprez – The heart of my job is to design and adapt analysis methods to our customers’ constraints. On the one hand, I work with customer data, i.e. our customers send us their data and we carry out analyses combining statistics and Machine Learning to achieve their […]
Tag Archives: data science
Meeting with El Mahdi, Data Scientist at DiagRAMS Technologies
Can you tell us about your job? In a few words, my job as a data scientist involves applying mathematical and statistical methodologies to our customers’ industrial data in order to extract value from it. This enables them to gain a better understanding of the problems they encounter in their processes, but also to improve […]
Review of the 54th Statistics Days
A not-to-be-missed event for the French-speaking statistics community, Journées de la Statistique (JdS) returned to the Solbosch Campus of the Université libre de Bruxelles for its 54th edition. Organised every year by the Société Française de Statistique (SFdS), these one-day conferences are an opportunity to meet experts and discover the latest advances in all areas of […]
Data science and industrial engineering: dual expertise to improve your industrial performance
How do you start your project to ensure the best ROI? What data should you choose? What methods should be applied? How can we reconcile industrial constraints with the performance of data science methods to address the targeted issues? The DiagRAMS team answers these questions. Interview with Florent Dewez, Senior Data Scientist, and Hugo Nini, […]
Analysis of temporal dynamics in signals for predictive maintenance: challenges and new methods
Last month, we returned to the foundations of artificial intelligence and its opportunities for a maintenance 4.0 strategy. Let’s go further by deciphering the challenges of temporal dynamics analysis for predictive maintenance. Focus on a new method of analysis of functional categorical data co-developed by DiagRAMS. When will a breakdown occur? When did a drift […]
