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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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Citizen & Digital society

After signing the “RESET manifesto” published in Le Monde, Berger-Levrault is involved in a research collaboration with the association for the Foundation of a New Internet Generation (Fing), a reference think & do tank on digital transformations. This collaboration takes the form of two projects focusing on the theme “citizens and the digital society” from

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When magic happens! Making Java and Visual Basic 6 dance together.

Visual Basic is a third-generation event-driven programming language belonging to Microsoft. It is based on the Component Object Model (COM) programming model and designed for beginners. The Last Version is the 6 (1998) and the core of FirmaDoc, our Spanish product dedicated to document and file management for public administration is written in VB6. However,

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A Mobile Social Robot as a tool for Nursing Homes

Over the centuries, scientific advances in medicine, pharmacology, and various surgeries have allowed the population to age healthier for longer. Our life expectancy in France has therefore now reached the age of 85.6 for women and 79.7 for men (Papon et al., 2020). This increase in life expectancy suggests an increase in the aging population

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What is Robotic Process Automation (RPA)? Our Complete Report.

About Top Illustration: « Built and unveiled for the first time in 1770, the Mechanical Turk or chess-playing automaton is a famous hoax built at the end of the 18th century: it was an alleged automaton with the ability to play chess. It was partially destroyed in a fire. Nowadays a replica has been created: it

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Software Traces for Detecting Frauds in BL.Enfance

Fraudulent behaviors can be detected based on the applicative traces. In this work, we used application traces from BL.Enfance, one of our software dedicated to children’s activities billing and management. We specifically focused on detecting the modification of variables such as the family quotient (Q-CAF) and period of billing, which can be modified to change

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Hey Artificial Intelligence! If you want to Scan Me, please do it in 3D!

What if we could automatically count and detect objects and various pieces of equipment in a building? This would have a tremendous impact on inventory activities, daily inspections, making these tasks easier and faster. This is what we are trying to achieve here. The main idea consists in relying on depth cameras (such ad LiDAR,

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The Election Watch Project: Dear candidate, what do you propose in terms of participative democracy?

Traditionally candidates for municipal elections prepare a program including various objectives they undertake to achieve if they are elected. The last French Municipale Election made no difference despite the quite particular context of execution of the 1st round due to the sanitary crisis. Hence, we used this period to gather data that could help Berger-Levrault

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AI & Data analysis for predictive maintenance of sewerage pumping system

The International Asset Performance 4.0 Conference will be held from 15 to 17 September 2020 in Belgium. On this occasion, several companies have come together to organize a Hackathon. Among them is Aquafin, a Flemish specialist in wastewater treatment. Their objective is to improve the daily maintenance management of their pumping stations, using data combined with artificial intelligence. The company thus proposes to the participants to find the best possible algorithm to predict the risks of failure of their pumps, and/or

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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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