Nicolas Dupuis
Sr. Machine Learning Scientist, Artificial Intelligence Strategy & Innovation Lead, DMTS
Nokia
location_on Belgium
Member since 4 years
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Nicolas Dupuis
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Nicolas got his Master Degree in Electrical Engineering both from the University of Liege (BE) and the Eindhoven University of Technology (NL) with the highest honors. During his career, he has held various positions ranging from telecom domain expert to global customer strategy consultant passing by lead data scientist. For years, he has been for years obstinately focusing on delivering qualitative end-to-end solutions, providing practical answers to his customers. Now leading the Artificial Intelligence Innovation within Nokia Software, his expertise is crucial not only to build good ML/DL models but, together with solid market and domain knowledge, to deliver relevant field-proven products leveraging AI at its best. Such developments have been recently awarded as “the most innovative AI solution that optimizes a product we sell to customers” within Nokia and are part of a product deployed in more than 100+ operators worldwide. Nicolas has also been recognized as a Bell Labs' Distinguished Member of Technical Staff (DMTS) for technical excellence and sustained outstanding contributions with proven business impact through years. In parallel, he is also a Member of the European AI Alliance.
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Using Deep-Learning to Accurately Diagnose Your Broadband Connection
Nicolas DupuisSr. Machine Learning Scientist, Artificial Intelligence Strategy & Innovation Lead, DMTSNokiaschedule 4 years ago
45 Mins
Case Study
Intermediate
Within Nokia Software Digital Experience, we build products that increase customer satisfaction and reduce churn through proactive identification of the user problems and that enable service providers to resolve problems faster. To achieve such tasks, ML and DL techniques are now contributing a lot to these successes. However, there is usually a long journey between building a first model up-to delivering a field-proven product. Besides providing highlights on how machine and deep learning are used today to boost the broadband connection, this talk will reveal some challenges encountered and best-practices involved to reach the expected quality level.
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