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AI use case
Audi is scaling up AI deployment in production and logistics through its 360factory strategy, utilizing cloud platforms, robotics, and end-to-end data integration to improve fac…
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Title
AI Production & Logistics - Cloud Edge Architecture (EC4P)
Content
Production Logistics Cloud Edge Architecture refers to the integration of cloud computing and edge computing infrastructure to power AI-driven optimization across manufacturing production and logistics operations. The European Commission has funded major research and innovation initiatives — including projects under Horizon 2020 and Horizon Europe — to develop next-generation IoT, cloud, and edge architectures that enable AI applications in factories and supply chains. These distributed architectures process data both centrally (in the cloud for model training and large-scale analytics) and at the edge (near production lines for real-time inference, anomaly detection, and autonomous decision-making). Key projects such as iNGENIOUS, IntelloT, IoT-NGIN, VEDLIoT, ASSIST-IoT, and TERMINET have demonstrated how cloud-edge AI can streamline production scheduling, improve inventory management, reduce lead times, and enhance supply chain resilience across sectors including logistics, manufacturing, and transport. The EU Cloud, Edge, and IoT ecosystem — including the EUCloudEdgeIoT initiative — supports secure, federated, multi-provider architectures that enable AI innovation while maintaining data sovereignty and operational continuity across European industrial ecosystems.
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Ingolstadt
Company/Organization
Audi
Continent
Europe
Country
Germany
Category
Automobile Manufacturers
Type
Deployment
Id
7ac67cae-0f1f-4153-9af1-c2c9a6841a39
Created At
2026-03-23T22:03:45.468+00:00