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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 field, feedback from solutions such as CARL Source and CARL Optim, and the prospects opened
Automatic Detection of Anomalies in systems behaviors
Nowadays, industrial systems maintenance uses the principle of Digital Twin to predict future issues. Sensors placed on the different parts of the system emit a signal that characterize its behavior. The study of these time signals in real time allow us to detect unusual behaviors preceding a breakdown. However, the sensors signals can be unreliable
🇫🇷 Detection d’erreurs par Intelligence Artificielle dans les fiches de paie
Démonstration: L’Intelligence Artificielle au service de la Paie Le module présenté dans cette démonstration permet de détecter des anomalies liées aux fiches de paie et cela grâce à un modèle d’apprentissage automatique (Machine Learning).Un échantillon d’une base existante peut être chargé par défaut. La possibilité de charger une nouvelle base depuis un fichier CSV est
BL.SenseLife: Healthy Ageing Co-Design and Management Platform
Healthy ageing is “the process of developing and maintaining the functional ability that enables well-being in older age” (WHO, 2015). Frailty is a clinical and a social syndrome relative to ageing. In medical context, frailty characterizes an intermediate state between robust health and the loss of autonomy. It points the beginning of the decline in
The legal impact of digitalisation of administration on public services
The digital transformation does not only concern the private sector, even though it’s frequently described as more innovative. From computerisation of public administration in the 60’ to the latest applications of artificial intelligence by territorial authorities, public action seems more and more digitalised (and still “in digitalisation”). Therefore, this public action in practice resulting in
🇫🇷 L’IA au service des collectivités locales
https://www.research-bl.com/wp-content/uploads/2019/08/frigg-1-online-video-cutter.com_.mp4 En France, les collectivités se différencient selon plusieurs caractéristiques telles que les budgets qu’elles utilisent au cours d’une année, les investissements qu’elles opèrent et enfin les dettes qu’elles contractent. Le but étant d’apporter une aide aux collectivités locales en développant un modèle capable d’apporter une aide à la prise de décision en leur permettant
🇫🇷 Hermès Démo
CONTEXTE Les documents des marchés publics manifestent une hétérogénéité importante et des similarités trompeuses. Autrement dit, ces documents contiennent généralement des informations typiques comme le nom de l’organisme public, son code SIRET, sa géolocalisation, des dates, les critères et les modalités de choix des candidats, etc. Toutefois, ces informations sont généralement présentées sans aucun format
Blockchain for interoperability
Interoperability is the possibility for different systems to communicate with each other without depending on a particular actor. It is based on the use of an open standard Context The sharing of data between information systems (IS) becomes essential to ensure communication between these IS. This exchange has consequences of compatibility (because of heterogeneous data
Automatic Reconstruction of Sanitation Network
Underground networks are a direct consequence of urbanization. These networks are daily used to offer all the vital services : electricity, Internet, water, etc. However, the available data related to them in particular sanitation ones are various, and come in different types (texts, images, GIS etc.) and formats (analog, digital). In addition, these multisource/multi-format data are
Analysis of user activity (traces) in software
The software for public services are always more complex as the regulation evolves constantly and the user requirement continues to refine. Thus, the quality of the software declines, making it more difficult to maintain and use. For example, some anomalies occurring in the production environment cannot be reproduced and therefore cannot be resolved. From the
20th International Conference on Software Technologies – ICSOFT 2025 (Spain)
CIFRE Strategic orientation committee x ANRT (Paris – France)
Regional morning: Transforming maintenance into a profit center x Swarm itc and AFIM (Charbonnières Les Bains – France)
9th International Workshop on Green and Sustainable Software – GREENS’25 (Ottawa – Canada)
Julien Breton Ph.D. thesis defense: “Extraction and formalization of regulatory industrial maintenance knowledge from semi-structured corpus data”
Friday, 27th June at 1.30 pm Paris time, Julien Breton, Ph.D. Candidate has defended his thesis named “Extraction and formalization of regulatory industrial maintenance knowledge from semi-structured corpus data”. His thesis defense took place at the IRIT research laboratory, Toulouse, France. Take a look at the summary below. Keywords: Legal compliance,Industrial maintenance, Norm extraction,LLM (Large
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
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
Clément talks at BIM World 2025 on the future of augmented maintenance using BIM models
At BIM World 2025, held in Paris on April 2-3, Clément Colin, our research engineer in BL Research team, spoke at a workshop dedicated to Digital Twins, alongside Laurent Truscello, Product Marketing Manager at Carl Berger-Levrault. The theme of their talk: “GEM & GMAO – Valuing and increasing the use of your BIM models for
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,
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
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
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
