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ANNs are being deployed on edge devices to enable real-time decision-making in applications such as smart cities, autonomous vehicles, and industrial automation. Federated Learning Federated learning is an innovative approach that allows multiple devices to collaboratively train a neural network while keeping data local.
For example, if your supply chain AI isnt trained on customs clearance times or factory shutdown histories, it wont be able to predict disruptions caused by regulatory issues or production bottlenecks. For a detailed overview of predictive AI techniques, please refer to Chapter 4 of my book The Art of AIProductManagement.
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