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Using AI-enabled Edge Cloud Technologies to Strengthen Europe’s...

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IKERLAN describes deployed systems that keep raw factory data local while building a global model via federated learning with Flower and MLflow, applied to predictive maintenance, visual defect detection and time‑series on rolling machines; a production platform manages MLOps lifecycle, concept‑drift triggers and model deployment across sites; the COGNIT project builds a COGNIT distributed FaaS so IoT devices can offload tasks to the cloud‑edge continuum and a shared data space with open‑source connector enables exchanging models and data across Mondragon partners.

AI-written summary · about

  1. 0:00AI-enabled Edge Cloud intro
  2. 2:06Open source for AI deployment
  3. 3:54Federated learning for industry
  4. 5:59Sovereign Cloud Continuum for IoT
  5. 8:09Q&A on data trust
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