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Edge Machine Learning (Edge ML) is a revolutionary technology that enables devices to perform AI-driven tasks locally, on the edge, rather than relying solely on centralized cloud servers. This decentralization of AI has many advantages, such as reduced latency, enhanced data privacy and security, and the ability to make real-time decisions. Edge ML has a wide range of applications, from autonomous vehicles to medical diagnosis, and is being used in enterprise settings to enable new possibilities for innovation. However, there are a few challenges to be aware of when implementing Edge ML in enterprise environments.