
Airflow: feedback on BL.Predict and Foundation use cases
Introduction In a context where the automation of data workflows has become a fundamental pillar of project reliability and scalability,
Introduction In a context where the automation of data workflows has become a fundamental pillar of project reliability and scalability,
In the critical domain of Computerized Maintenance Management Systems (CMMS), solutions like CARL Source empower businesses to efficiently create, schedule,
Keywords: Synthetic Data, Retrieval-Augmented Generation (RAG), Small Language Models (7B LLM), Large Language Models (LLM like GPT-4o or GPT4.5), Model
Success Story BL.Predict x Saint Jean! The objective? Optimize the maintenance of its fresh pasta production! Production line availability, data
In his previous article, Romain explored the theoretical foundations and methods dedicated to the automatic evaluation of artificial intelligence systems,
BL.Optim: A cutting-edge but static planning optimization tool BL.Optim is our optimization engine for routing and scheduling, used to generate
This article by Valérie follows on from a previous one describing the innovative Living Lab set up at Berger-Levrault. As
The integration of BIM data into CMMS for asset management and maintenance is becoming increasingly widespread and accessible. Among the
Article co-authored by : Kilian Bauvent (Lead engineer), Benoit Verhaeghe (Project manager and Techn Lead), Marius Pingaud (Developer on BL.CodeRules
Key words: Innovation – Living Lab – User-centered co-design – Real-life situation – Human and Social Science – Safety –
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