Can you tell us about your job? N.F – As Technical Director, my role is to manage the development of our predictive maintenance software and ensure the reliability of the platform so that we can offer an optimum service to our end customers. I work closely with the Data Science department, which develops the algorithms […]
Tag Archives: interview
Meeting with Ponticelli, a new shareholder in DiagRAMS
A week ago, we announced our second round of funding to accelerate the development of our predictive maintenance solution. In addition to the contribution of our historical investors IRD Nord Création, Finorpa and Nord France Amorçage, this round of financing was marked by the arrival of the Ponticelli Frères group as a new shareholder. But […]
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, […]
What are the challenges for the industry in 2023?
Product/process competitiveness, profitability and skills: the 2023 challenges for industry as seen by Olivier Durteste While the industrial sector is going through a very particular period between doubts in the face of all the current uncertainties and hopes for a successful transition thanks to innovations and political will, DiagRAMS went to meet Olivier Durteste, Managing Director […]
Artificial intelligence for maintenance
Artificial Intelligence (AI) techniques can be used to provide solutions for monitoring the operating status of industrial equipment. These solutions can both detect phenomena that have already occurred and identify others that are new. Interview with Jean-François Bouin, president and co-founder of DiagRAMS Technologies, which offers a predictive maintenance software solution for the early detection […]
