Latest articles
Applying Agentic AI towards enabling computerized maintenance management systems
In the critical domain of Computerized Maintenance Management Systems (CMMS), solutions like CARL Source empower businesses to efficiently create, schedule, and manage maintenance tasks. These platforms are widely used to coordinate work orders for repairing industrial machinery across multiple factories worldwide. *Update: Coruscant is the name given internally to this R&D project. The commercial name associated with the product is now CARL AI Gen. Traditionally, when a piece of equipment
RPA to automatically collect contacts over the web
To improve Berger-Levrault network, we work in collaboration with the sale department to collect the last news about DGS (Director General of Services) in France. The DGS is directly linked to the elected representative and insure the general coordination of services to implement municipality’s projects. This strategic position embodies the management of a regional government.When
A Federated Learning Framework for IoT
There are thousands of institutions like hospitals collecting private and sensitive data, which mean they can not be transferred to be used. Though federated learning needs data to be trained. As we can not send them to a database like this (unprotected, non-confidential), a solution has been thought: each institution will locally train a model
BL.Predict, the clairvoyant of maintenance for Le Havre city
Imagine you won the lottery (yes, we all dream about it) and bought Versailles castle. You can not remember if you closed the bathroom tap on the other wing of the castle. Do not worry, you do not have to walk ten minutes long, you just have to check your phone app which will let
BL.Exchange, a solution to make softwares relationship friendly
Nowadays, the IT market is made of thousands apps with even more software options. Organizations are using different kind of apps with distinct sets up which evolves really fast for different purposes. In addition, the apps are developed according to technical standards that are constantly evolving. This context makes the communication between apps difficult. Though,
BL.SenseLife MVP
A Minimum Viable Product (MVP) is a first version of a new product with enough features to address the most important needs of users and customers, who can next provide feedback for future evolutions. It is basically the first implementation of an idea into a deployable and marketable solution with its mains functionalities. We have
Casino, a tool to migrate applications
For five years now, our team is working on the preparation to migrate Berger-Levrault’s apps. To ease framework’s transition to new standards, we created Casino. A homemade tool to assist in future migrations. Casino, what’s that? It’s an innovative tool to simplify the migration process by automatically transforming apps code. We explain below the four
Back on SemEval 16th edition task n°8
Find about our work on SemEval task n°1: reverse dictionary SemEval is a series of international Natural Language Processing (NLP) research workshops whose mission is to advance the current state of the art in semantic analysis and to help create high-quality annotated datasets in a range of increasingly challenging problems in natural language semantics. Each
Back on SemEval 16th edition task n°1
SemEval is a series of international Natural Language Processing (NLP) research workshops whose mission is to advance the current state of the art in semantic analysis and to help create high-quality annotated datasets in a range of increasingly challenging problems in natural language semantics. Each year’s workshop features a collection of shared tasks in which
Neolink: Lifelong pathway recommendation model
Find information about the project’s challenges by following this link. Neolink is a company created in 2012 which developed solution to encourage the internet that brings together. Its main objective is to unify economic activity and social utility in its solutions. The company has been bought by Berger-Levrault in 2019. Social services are notoriously complex
Wi-Filles Project
Wi-filles is an induction programme to promote digital occupations to teenager girls. If we look at figures, there are only 21,5% of women workers in this area and only 20% in digital studies field. That’s why, the FACE foundation started the Wi-Filles project in 2014. The goal of the project is to encourage young girls
36th International Conference on Database and Expert Systems Applications – DEXA 2025 (Bangkok – Thailand)
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)
Hamza Safri Ph.D. thesis defense: “Federated learning for the IoT : Application for Industry 4.0”
Thuesday 24th June at 3pm Paris time, Hamza Safri, Ph.D. Candidate has defended his thesis named “Federated learning for the IoT: Application for Industry 4.0”. His thesis defense took place at the Inria Minatec Grenoble, Grenoble, France. Take a look at the summary below. Keywords: Model generalization, predictive maintenance, industrial IoT, federated learning, edge network,
ESUG 2025: Six contributions and 2 prizes for the Software Engineering Lab team!
Congratulations to our PhDs Nicolas Hlad, Aless Hosry, Benoit Verhaeghe and Pascal Zaragoza from Berger-Levrault’s BL.Research team for their participation in the 2025 edition of the ESUG (European Smalltalk User Group) conference! This year’s conference took place from July 1-4 in Gdansk, Poland. The theme was innovation in Smalltalk technologies and their use in software
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
