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Retrieval Augmented Generation

From Generic to Domain-Smart: Tailoring Embeddings for High-Performance Business Search

1. Strategic Context and Challenges Modern answer engines look simple from the outside: a user asks a question, and the system returns a grounded answer. But before the language model can write anything useful, the system must first retrieve the right sources from the enterprise knowledge base. If the right sources are not selected, the answer engine is already limited, no matter how powerful the language model is. In most

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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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Automatic software migration: Business/services

Mono2Micro: From Monolithic Software to Versatile Microservices Over the past decade, there has been a significant paradigm shift towards cloud computing and web services. As organizations try to keep up with the latest trends, there has been a demand for shifting legacy systems to the Cloud. The microservice-oriented architecture (MSA) is a recent architectural style that has

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Automatic Detection of Anomalies in systems behaviors

Nowadays, industrial systems maintenance uses the principle of Digital Twin to predict future issues. Sensors placed on the different parts of the system emit a signal that characterize its behavior. The study of these time signals in real time allow us to detect unusual behaviors preceding a breakdown. However, the sensors signals can be unreliable

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🇫🇷 Detection d’erreurs par Intelligence Artificielle dans les fiches de paie

Démonstration: L’Intelligence Artificielle au service de la Paie Le module présenté dans cette démonstration permet de détecter des anomalies liées aux fiches de paie et cela grâce à un modèle d’apprentissage automatique (Machine Learning).Un échantillon d’une base existante peut être chargé par défaut. La possibilité de charger une nouvelle base depuis un fichier CSV est

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Sophie de Thoré guest on Pari ETI on BFM Business: Innovation, Growth and Digital Transformation

The digital transformation of public and private organisations, business resilience in the face of economic change, and responsible innovation were the focus of discussions on the Pari ETI programme broadcast on BFM Business. On this occasion, Sophie de Thoré spoke on behalf of Berger-Levrault, alongside Jérôme de Lavergnolle (Saint Louis), Jean-Luc Gunéard (LPR) and Augustin

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A New Milestone in Building a European AI Ecosystem for Industry

Last Friday marked a significant step forward for the European ecosystem of artificial intelligence applied to industry. After more than a year of close collaboration, the report resulting from the Franco-German dialogue on industrial AI was officially presented to French and German authorities during a dedicated forum held at the Ministry of Economy. This initiative,

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Camille Dupré Ph.D. thesis defense: “Pad-based Interaction in Mixed Reality environments”

Thursday 18th December at 2p.m. Paris time, Camille Dupré, Ph.D. Candidate has defended her thesis named “Pad-based Interaction in Mixed Reality environments”. Her thesis defense took place at the LISN, in Gif-sur-Yvette (660 Av. des Sciences Bâtiment, 91190), France. Take a look at the summary below. Summary Mixed Reality (MR) environments integrate virtual elements into

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Nihed Bendahman Ph.D. thesis defense: “Evaluation and mitigation of hallucinations in automatic summarization in the specific context of legal documents”

Monday 15th December at 2p.m. Paris time, Nihed Bendahman, Ph.D. Candidate has defended her thesis named “Evaluation and mitigation of hallucinations in automatic summarization in the specific context of legal documents”. Her thesis defense took place at the IRIT Research Laboratory, in Toulouse, France. Take a look at the summary below. Summary Legal monitoring is a

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Berger-Levrault strengthens its ties with AI startups!

We are proud to announce that we have joined Hub France IA, the largest association dedicated to artificial intelligence in France. This network now brings together more than 250 members—companies, startups, research laboratories, and institutions—who share the same goal: to accelerate the development and adoption of AI in France and Europe. Getting closer to the

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Celebrating New PhDs from the BL.Research Team!

At Berger-Levrault, research is more than a mission—it’s a shared adventure. As the new academic year begins, we are proud to celebrate the success of four of our colleagues from the BL.Research team, who have reached a major milestone in their scientific journeys: the defense of their doctoral theses. These achievements are the result of

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