SYNERGISTIC USE OF AI CLOUD AND IOT FOR BUILDING AUTONOMOUS ENTERPRISE ECOSYSTEMS WITH END TO END PROCESS MONITORING
Keywords:
Internet Of Things (IoT), AI Cloud, Edge Computing, Observability, Autonomous Systems, Process Monitoring, Data Ingestion, Model LifecycleSynopsis
The convergence of Internet of Things (IoT) and cloud-based artificial intelligence (AI) services enables enterprises to build autonomous ecosystems capable of continuous process monitoring, adaptive decision-making, and automated remediation. This short paper presents a concise architecture and implementation considerations for integrating IoT telemetry, edge processing, and AI cloud services to achieve resilient, observable, and secure enterprise automation. We describe system components, data pipelines, model lifecycle management, monitoring strategies, and practical challenges, and we include a reference architecture diagram and two practical tables that summarize edge/cloud responsibilities and monitoring metrics.
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