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industrial maintenance

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

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BL.Assistant featured image.

BL.Assistant: Towards an Human-AI Teaming Platform

At work, you can have the best position ever (at least from your point-of-view), there are always boring and repetitive tasks to do that make you feel like you’re wasting your time. At Berger-Levrault, we aim to your life easier, that’s why we worked on BL.Assistant, a platform able to host AI-Based robots to assist

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Moose environment.

Visualize your codebase with Moose

Developing an application is teamwork. It requires complementary skills to make it run smoothly. Though, bugs happened frequently and it’s not easy to read the code and all its interdependencies. So the easiest way would be to call your colleague who worked on it, but he has a flu and can not answer you. To

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Pascal Zaragoza Ph.D. thesis defense: Model-driven migration of monolithic applications towards a microservice-oriented architecture

The passage to Cloud Computing fostered the development of new architectural styles to take advantage of its capabilities. The microservices oriented architecture (MSA) is the last style to emerge. This architecture is organized around small services focused on specifics business features, operating in independents processes and communicating through light interfaces. These features associated to cloud

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Web scraping illustration.

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

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Federated learning framework for IoT.

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

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Stadium Océane du Havre.

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

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BL.Exchange featured image.

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,

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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

Read More »

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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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

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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,

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