This whitepaper explains how Azure edge computing enables real-time data processing closer to data sources, reducing latency, improving performance, and enhancing operational efficiency. It discusses key Azure services such as IoT Edge, Azure Stack Edge, Azure Arc, and Azure Percept, which support AI-driven analytics and hybrid cloud environments. The paper highlights use cases across industries including manufacturing, healthcare, retail, finance, and transportation, where edge computing enables predictive maintenance, real-time diagnostics, and personalized experiences. It also addresses challenges like deployment complexity, security risks, data consistency, and scalability. The conclusion emphasizes that edge computing is critical for enabling faster decision-making, reducing bandwidth

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