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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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Intelligent Document Processing (IDP) a key component to the end-to-end automation of business processes

Company data is a key part of decision making, but unfortunately, much of this data is in an unstructured format: PDF documents, JPG scans, emails, etc. This unstructured representation is difficult to exploit by the machine, which complicates the automation of business processes. Intelligent Document Processing (IDP) captures, extracts, and processes data from a variety

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🇫🇷 Frugalité : Pour un numérique qui minimise son impact écologique

Nous savons maintenant que l’épuisement des ressources de la planète et le gaspillage énergétique mettent en péril nos modes de vies, notre santé et notre économie.  Le numérique que nous produisons, vendons ou utilisons n’a de virtuel que les interfaces avec lesquelles nous interagissons. Ses impacts sur notre monde sont bien réels et menacent l’équilibre

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Monoliths in the shadow of the micro

Microservices are emerging nowadays for the simple reason that monolithic applications are complex to maintain, evolve and administer. It was therefore necessary to segment our monolith into a multitude of fragments. These fragments allow for a much simpler technical and/or functional evolution.This evolution is now common in the backend domain. However, the problem of the

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How to use VSCode and Moose to analyze Java projects?

VSCode is an amazing editing tool. Thanks to its extensions, one can develop using many programming languages. However, what about analyzing a software system using VSCode? In this article, we will show you how to use VSCode with Moose to analyze Java code. We use Christopher Fuhrman’s post as an example. Although we can perform

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Generation of Interoperability Connectors: an efficient way to save time

Code generation has gradually become a prominent aspect of today’s software development. The process of writing software requires developers to frequently rewrite similar code repeatedly. This practice can be both time-consuming and tedious. Developers aim to occasionally write abstraction to keep their applications DRY (do not repeat yourself), however writing an abstraction is not always

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Micro-application architecture: A guaranteed time saver

In order to guarantee better maintainability and scalability of our applications, we often have to break down our application into a multitude of micro-services with their own logic. These micro-services must be as autonomous as possible and fulfill a specific function in order to be able to reuse them in different contexts.This architecture is enormously

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🧾DeepFacture🧾: When deep learning visually controls invoices

Before total digitalization, the invoices were visually checked by the agents. Today the invoices are entirely dematerialized, therefore nobody checks their layout, readability, and consistency with their metadata. In France, controlling an invoice dataflow (ORMC: Order of Multi Creditor Receipt) can take up to 1 full day. ORMC data flow is sent by more than

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🇫🇷 L’illectronisme, un handicap majeur dans une société de plus en plus digitalisée

Le terme « illectronisme » est un néologisme transposant le problème d’illettrisme dans le domaine de l’information électronique. On peut le définir comme un manque de connaissances clés nécessaires à l’utilisation des ressources électroniques. On parle aussi d’illettrisme numérique, ce qui met bien en avant les difficultés de lecture des ressources numériques. Il est important

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What is the place for the Low Code / No Code evolution?

The Low Code/No Code did not appear in the early 2020s, it is a trend that has already been taking shape for several decades and in 2021 the market is still in the creation phase. There are a very large number of well-known players such as Salesforce, OutSystems, K2, Mendix, ServiceNow, Appian, AgilePoint, or Microsoft

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thinking, person, person thinking

What is Federated Learning?

Nowadays, a massive amount of data is generated by devices such as smartphones and connected objects (IoT). This data is used to train high-performance machine learning (ML) models, making artificial intelligence (AI) present in our daily lives. Data is generally sent to the cloud, where it is stored, processed, and used to train models in

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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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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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