Latest articles
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
DEESSE: A Generic Search Engine based on Artificial Intelligence
In Berger-Levrault, several of our software products incorporate a search engine in themselves to facilitate access to information. This information can be encoded in files having various and varied formats. For example, Word, PDF, CSV, JSON or even XML files. Current search engines such as Lucene focus most of the time on keyword searches. This
Artificial Intelligence for Home Care Structures
The aging of the population leads to an increase in the number of people losing their autonomy and in situations of fragility. Due to the lack of space in medico-social institutions, home care structures (SAAD, SSIAD, SPASAD, and HAD) are an alternative offering a better environment for beneficiaries. We are working on a project whose objective
Understanding the complexity of the city
The systemic project of the city aims to structure the various key concepts which reflect the complexity of the object “City”. The approach used in this project exploits the different data provided by the digital city to translate sustainable development into the processes of technical management of the territory, correlate the different representations of the
When AI generates Human Resources training plans!
Berger-Levrault works in collaboration with the Cusma association and the innovation commission to exchange experiences and advice on innovation applications. Among the projects, we started working on a supervised automatic classification of training requests.This project aims to assist administrative officers using artificial intelligence and robots to classify and prioritize training requests coming from agents. We
CARL – What if maintenance requests were automated?
CARL Source is CARL Software’s main software application for managing maintenance processes within the company, as well as the historical monitoring of the various materials and equipment, buildings, and necessary interventions. We conducted a study involving Natural Language Processing techniques for document understanding and qualification. Basically, we aim at interpreting real requests for intervention, to
Accounting & Robots : A Love Affair
During the past months, Berger-Levrault and the Cusma association worked together within the newly created innovation commission. This comission aimed at co-designing new and innovative services involving for exemple robotic process automation (which we have recently talked and explained on BL.Research), artificial intelligence and natural language processing. The use RPA for automatic accounting checking was
PowerBuilder 12.5 goes to the Web!
A few months ago, Berger Levrault’s research team published an article on the result of an experiment allowing a JAVA application to work together with a Visual Basic 6 application. This work showed that you could use business components developed in Visual Basic 6 from JAVA and even “run” an entire application without having to
Augmented Reality in HealthCare
This week we responded to a call for projects from the ANS (French Digital Health Agency calls Structure 3.0. We proposed a totally new approach to interact with BL.soins, based on Microsoft Hololens and augmented reality techniques.The project aims at experimenting with augmented reality, its value, and acceptance in health care for older adults. But
The SoftScanner project: How to trace your front-end automatically?
Following the cooperation of three institutions: the University of Montpellier, the Centre National de Recherche Scientifique, and the Berger-Levrault company, the SoftScanner project is now underway. SoftScanner is a Model-Driven Approach for the Automatic Generation of Optimal Anchoring Configurations for Software System Execution Tracing Operations. Context and Problem Developers write “logging instructions” in the source
Why your Interoperability needs to be monitored
BL MOM and RabbitMQ Interoperability is one of the key challenges for enterprise information systems engineering. The lack of interoperability among applications and their sub-systems is a critical issue that can affect the overall quality of service. Data interoperability is implemented through data transport and exchange systems, the latter must be reliable and secure to
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)
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
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,
