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industrial maintenance

New White Paper – AI for maintenance! Challenges, Opportunities and Case Studies

How is artificial intelligence transforming maintenance practices today? What are the concrete opportunities for equipment, infrastructure and fleet managers? The new white paper published by CARL Berger-Levrault offers a rich and accessible insight into these strategic questions. Entitled “AI at the service of maintenance: challenges, opportunities and case studies”, this document summarizes experience in the field, feedback from solutions such as CARL Source and CARL Optim, and the prospects opened

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Building an Ontological Knowledge Base from Berger Levrault Editorial database

Context Ontologies are widely used in information retrieval (IR), Questions/Answers, and decision support systems, and have gained recognition as they are now being considered the new answer to semantic interoperability in modern computer systems and the next big solution for knowledge representation. The structuring and management of knowledge are at the heart of the concerns

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Scientific paper accepted at the QUATIC 2020 conference

A few weeks ago, 3 DRI engineers had their paper accepted in the QUATIC 2020 conference. QUATIC 2020 is the 13th conference on the Quality of Information and Communications Technology, which will take place on September 8-11, 2020. The selected paper is about: “Challenges for Layout Validation: Lessons Learned”. As part of Berger Levrault’s program

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Adaptative Maintenance: CARL’S IoT Platform

In 2016, industrial customers have asked us about our vision of the industry of the future, and in particular the maintenance function.We set up a working group including 3 major industrial accounts to study the impact of the Plant 4.0 concept on maintenance: digital tools, organization, skills, new business models, and confidence in digital technology.After

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DevOps & Middleware: a new project to facilitate the management of our deployments and enhance their reliability

A new collaboration project has been initiated with the team Spirals of INRIA Lille laboratory. In this project, we want to address the steering, orchestration, and maintenance mechanisms for our applications’ packaging, delivery, and deployment activities. The lack of formalization and traceability on the actions that are carried out for the deployment of our applications,

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The Helios Project

A few weeks ago, the DRIT began working on a particularly innovative project that should be useful to us all: The Helios project.The ambition is to build an automatic observatory that collects, sorts, and classifies information from the net. The system is intended to be flexible and should enable us to keep a watch on

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Knowledge at your fingertips: Building an Ontological Knowledge Base from our Editorial database

Our times are increasingly influenced by the prevalence of large volumes of data. These data most often hide great human intelligence. This intrinsic knowledge; whatever the field; would allow our information systems to be much more efficient in the processing and interpretation of structured and unstructured data. For example, the process of finding relevant documents

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Automating the Detection of Duplicates in our Databases

Today’s complex applications for knowledge extraction and data mining use heterogeneous and distributed data. In this context, the quality of any decision depends on the quality of the data used. In fact, with the lack of accurate and reliable data, bad decisions can be made. In order to provide a better understanding of the source

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Testing the migration of Graphical User Interfaces

Technologies and frameworks are not immortal, it’s a fact. For a software editor like us, it is regularly a necessity to migrate a framework to another. When you consider, large software like e-sedit for example, migrating the entire software in one shot is almost impossible. Many companies are migrating their software systems. And so, we

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New White Paper – AI for maintenance! Challenges, Opportunities and Case Studies

How is artificial intelligence transforming maintenance practices today? What are the concrete opportunities for equipment, infrastructure and fleet managers? The new white paper published by CARL Berger-Levrault offers a rich and accessible insight into these strategic questions. Entitled “AI at the service of maintenance: challenges, opportunities and case studies”, this document summarizes experience in the

Read More »

New White Paper – Agentic AI, a Software and Societal Revolution!

Research at Berger-Levrault is tackling a new frontier in artificial intelligence: that of (partially) autonomous agents capable of reasoning, planning, collaborating, orchestrating and learning in complex business environments. Our new white paper, “Beyond automation – How agentic AI is transforming the software industry”, shares with you an in-depth analysis of this ongoing technological revolution, its

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From the Iberian sun to the Rising sun for federated learning

On September 2024, we had the opportunity to attend two international conferences related to a segment of our work in artificial intelligence : Data Training Without Perturbative Adjustments for Predictive Maintenance The FLTA24 took place from September 17 to 19 in Valencia, Spain. As part of this research, we studied a concrete case: predictive maintenance,

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Discover our 2024 Research & Innovation Yearbook!

We are delighted to present the first edition of the Research and Innovation Yearbook. This annual retrospective reflects the commitment and ambition of our Research and Technological Innovation Department at Berger-Levrault (also available in French and Spanish versions below). By highlighting our most audacious projects and innovative initiatives, we hope to share with you the

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Julien at EKAW 2024 for his work on extracting legal data from LLMs

On December 3, 2024 in Amsterdam, Julien Breton – Research Engineer at Berger-Levrault (Team BL.Research) took part in the EKAW 2024 (European Knowledge Acquisition Workshop) conference. His paper demonstrates how the alliance between large language models (LLMs) and software architectures can optimize data annotation: a consequent time and cost saving, and greater reliability for technical

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Benoit receives the Prix Science Ouverte 2024: Recognition of excellence and openness in Research at Berger-Levrault

In a world where science plays a crucial role in meeting economic, environmental and societal challenges, the notion of openness in research is taking on strategic importance. Organised by the Committee for Open Science (CoSO) and supported by the French Ministry of Higher Education and Research, the Open Science Awards embody this commitment by recognising

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Nicolas Ringuet Ph.D. thesis defense: “Modeling, Exploration, and Explainable Co-construction of Lifelong Pathways”

Thuesday 5th of November at 14h a.m. Paris time, Nicolas Ringet, Ph.D. Candidate has defended his thesis named “Modeling, Exploration, and Explainable Co-construction of Lifelong Pathways”. His thesis defense took place at the IUT in Blois, France. Take a look at the summary below : Summary This thesis explores the mechanisms of personalized support systems,

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