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Success Story BL.Predict x Saint Jean: challenges and benefits of switching from corrective to preventive maintenance

Success Story BL.Predict x Saint Jean! The objective? Optimize the maintenance of its fresh pasta production! Production line availability, data centralization, migration from corrective to preventive maintenance… Here’s a look back at this collaboration which combines technological innovation and complex manufacturing systems. La “Maison” Saint Jean, the art of fresh French pasta History shows that France, like Italy, is a land of fresh pasta… Saint Jean is one of the

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Data visualisation to ease planning in Infosilem Academics

The InfoSilem Academics software (previously TimeTabler) automates and simplifies the creation of academic schedules for faculties. The scheduling is centered on the notion of “deliveries”. A delivery is a combination of professors, academic blocks, and corresponding room requests, repeated at a given frequency. The software provides optimized time slots and room affectations depending on room constraints, the frequency of the delivery,

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Multiscale Visualisation: From Territory to BIM View

The technical management of the territory is today a challenge that requires being able to manage objects such as the city or the building and space which contains them at different scales. The following video demonstrates our research prototype integrated into CARL Source for multi-scale management of equipment. You will see that it is possible

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The MOTUS Project: Automatic Grouping by Theme of Support Tickets

Dear Project Managers, imagine if you could regroup automatically the thousands of maintenance tickets by topic in just one click. It would be nice no? This would have tremendous implications in priorising the bug fixing, improvement requests, new features, etc. Thus, saving significant amount of time and making better decisions. Well, this is what we

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Optimizing Maintenance Planning for CARL Software

The management of the maintenance interventions planning is complicated. A large set of constraints must be considered when managing the plan such as the adequacy between skills and intervention acts, the respect of contracts and the availability of technicians, etc. As a result, the production of a plan becomes a big challenge, as we often

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AI and Edge Computing at the service of IoT : Realization of an Augmented Sensor

Within the framework of a research & innovation working partnership on AI (Artificial Intelligence) and Edge Computing, the Adeunis and CARL/Berger-Levrault R&D teams have been working together for several months. CARL/Berger-Levrault is a European leader in equipment management (CMMS/EAM) and technical asset management, while Adeunis is a specialist in radio IoT solutions. These two entities

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🇫🇷 Semantic Search for Actes Office

Démonstration: L’Intelligence Artificielle et la Recherche d’Information au service de BL.ActesOffice Le module présenté dans cette démonstration permet de rechercher des documents sur une partie de la base d’ActesOffice en se basant sur des techniques appartenant au domaine de l’intelligence artificielle (IA), du traitement automatique des langues (TAL) et de la recherche d’Information (RI). Ces

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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

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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

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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

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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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