OPGELET: dit is een Engelstalig webinar. Meer info in onderstaande Engelstalige aankondiging.
Having the predictive data needed to optime the deployment of preventive maintenance and optimise the performance of equipment is the ‘Holy Grail’ for a lot of technical experts.
With an IoT platform dedicated to maintenance and capable of handling all the components of the IoT chain - from sensors to the use of data in the ‘CARL Source’ CMMS - users will be able to carry out predictive maintenance and enter into maintenance 4.0 with full force.
During this interactive webinar, you will be able to interact with CARL Berger-Levrault's maintenance 4.0 experts and discover the live features of the IoT platform integrated into the ‘CARL Source’ CMMS and learn how to:
- Optimise your maintenance performance through simulation and prognosis: the right action, at the right time, at the right cost
- Improve your energy management
About the speakers
Youssef Miloudi is head of R&D at CARL Berger-Levrault. He is responsible for the IoT and digital twin research team and manages various research and innovation programmes for CARL Berger-Levrault. Previously, he held the position of software development team manager. His goal: to create innovative products to support technical maintenance for major (inter)national players. He has been working in the field of innovation and developing software solutions for the industry for more than 20 years.
Alexandre Grutering is Country Manager at CARL Berger-Levrault Benelux and is responsible for the commercial development of the Belgian subsidiary. Alexandre holds a degree in accounting and an Executive Master in Management from the Solvay Business School in Brussels. He has previously managed the commercial development of several companies, including Alters Dun & Bradstreet and the Atradius credit insurance group, which is active in various business sectors worldwide.
14:45 Welcome on the BEMAS Live learning platform
15:00 Presentation by Youssef Miloudi & Alexandre Grutering
15:45 Q&A and conclusion
This webinar is organised in collaboration with :