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UMBRELLA is a large-scale, open-access Internet of Things (IoT) ecosystemincorporating over 200 multi-sensor multi-wireless nodes, 20 collaborativerobots, and edge-intelligence-enabled devices. This paper provides a guide tothe implemented and prospective artificial intelligence (AI) capabilities ofUMBRELLA in real-world IoT systems. Four existing UMBRELLA applications arepresented in detail: 1) An automated streetlight monitoring for detectingissues and triggering maintenance alerts; 2) A Digital twin of buildingenvironments providing enhanced air quality sensing with reduced cost; 3) Alarge-scale Federated Learning framework for reducing communication overhead;and 4) An intrusion detection for containerised applications identifyingmalicious activities. Additionally, the potential of UMBRELLA is outlined forfuture smart city and multi-robot crowdsensing applications enhanced bysemantic communications and multi-agent planning. Finally, to realise the aboveuse-cases we discuss the need for a tailored MLOps platform to automateUMBRELLA model pipelines and establish trust.

Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed