How can sovereignty be renewed in a context of globalisation?Between the challenges of reindustrialisation, cyber security, energy and identity… Read the summary from the Choiseul Institute, which this month unveils its position paper on fifty proposals for renewed sovereignty.This analysis is the work of the Sovereignty Initiative, which since January 2022 has brought together 1,500 […]
Tag Archives: industry
Portrait : Meet Nicolas Froidure, CTO at DiagRAMS Technologies
Can you tell us about your job? Nicolas Froidure – 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 […]
DiagRAMS Technologies celebrates its 4th anniversary
And that’s four! It all began with the meeting of two worlds that had everything to offer each other: Artificial Intelligence and Industry. In 2019 Margot and Jean-François, joined by Quentin, embark on a wild entrepreneurial adventure with the creation of DiagRAMS Technologies. Today, DiagRAMS is a whole team of enthusiasts who are contributing to […]
Digital tools as a lever for attractiveness in industry
Among the main strategic challenges of the industry for 2023, recruitment stands out as a central element, as explained by Olivier Durteste, Director General of UIMM Udimetal. 67% of company managers in the manufacturing industry declare that they are having difficulty recruiting, i.e. 2 out of 3 companies.What if, in addition to supporting companies’ productivity, […]
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 […]
Industry 4.0 and cybersecurity: ensuring the reliability of industrial systems
Last month, the International Cybersecurity Forum (ICF) was held. Our team attended this leading ecosystem event to keep abreast of the latest developments in digital security and trust. Let’s talk about cybersecurity on this occasion. As we know, the interconnection of machines is an essential component of Industry 4.0. But be careful not to neglect […]
Maintenance 4.0: thinking through your project for an optimised ROI
Increased reliability, reduced maintenance costs, optimised planning… As we know, the benefits of predictive maintenance are numerous. But where to start? What are the prerequisites to start your project? Which machines should be targeted first and which mistakes should be avoided? DiagRAMS gives you concrete levers for a successful predictive maintenance strategy. Predictive maintenance: […]
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 […]
How DiagRAMS Technologies is revolutionising predictive maintenance
Accelerated in Village by CA over the past two years, DiagRAMS Technologies has been developing predictive maintenance software for industrialists, to predict breakdowns and anomalies on machines. This solution avoids the installation of sensors and provides technicians with a turnkey tool and valuable data to better understand the state of health of the machine park. […]
AI and predictive maintenance, nothing new?
Yes, AI can do a lot, but not just anything or any way! Let’s go back to the basics. We have come a long way from the beginnings of artificial intelligence in the 1930s to the arrival of expert systems in 1980 and Machine Learning algorithms as we know them in 2022! But what has […]
