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The Association Alliance is pleased to invite you to the next Brainstorming, on Thursday September 28 from 4 to 6 pm at the EPFL Innovation Park, bât. E, first floor. This year's Brainstorming will focus on an issue raised by Liebherr SA, Predictive Maintenance: from data to AI. The workshop will be followed by two presentations, the first by Professor Jean Hennebert ofiCoSys (HEIA-FR) and member of the Swiss Center for Artificial Intelligence for SMEs, and the second by Xavier Bays of Swiss-SDI.
Presentation
Today, predictive maintenance is a necessity for companies in many fields. Preventing breakdowns and malfunctions, or carrying out equipment overhauls and replacements at the right time, can help avoid the significant financial repercussions of a machine or electronic process shutdown, or the premature replacement of a still-functioning device, for example.
Predictive maintenance relies on data analysis to intervene at the right time. In this context, artificial intelligence could prove to be a key element. But how do you set up a system for the automatic collection of relevant data? And how, once this data has been acquired, can it be managed to consolidate predictive maintenance?
Join us on September 28 for an exchange of ideas between peers and academic institutions.
The speakers
Founded in 1949, Liebherr is a family-owned company with an international reputation. Employing 51,321 people worldwide, Liebherr is active in a wide range of sectors: construction machinery, components for aerospace and rail transport, construction cranes, refrigerators and freezers.
For Liebherr, predictive maintenance is a way of offering their customers a better, more reliable and more economical service, while at the same time enabling product improvements. However, there are still many challenges to be met, such as the acquisition and management of relevant data, and the promotion and acceptance of predictive maintenance in the eyes of users and consumers.
On September 28, Christophe Hoël, Engineer and Data Scientist, will talk about Liebherr's problem.
Prof. Jean Hennebert
Ordinary Professor in Machine Learning and Director of the Institute of AI and Complex Systems(iCoSys, HEIA-FR), he manages research activities in fields related to applied machine learning and complex information systems. He has launched numerous European and national research projects in the field of machine learning.
Professor Hennebert is also behind the founding of the new Swiss Center for Artificial Intelligence for SMEs (CSIA-PME). The main objective of the project is to accelerate the adoption of artificial intelligence in the digital transition of Swiss SMEs. The associated socio-economic challenge is to increase their competitiveness, limit relocation and create new skills at the interface between laboratories and the practical use of artificial intelligence.
Xavier Bays, an engineer in applied mathematics, will present Swiss SDI's expertise in data analysis and valorization for companies in various sectors.
Founded in 2017 following victorious entries in the Data Mining Cup, Swiss Statistical Design & Innovation (Swiss-SDI) is an engineering firm specializing in data analysis. Based in Vaulruz in the south of Fribourg, Swiss-SDI advises and offers services to add value and unlock the full potential of data for companies from a wide range of backgrounds.
Free event, registration until September 26, 2023.
Contact: Camille Pousin, Alliance