To manage the vast amount of data generated at the edge effectively, women are integrating AI and machine learning algorithms into edge computing architectures. This approach enables real-time data analysis and decision-making at the edge, reducing the need for data to be sent back to a central server and thus decreasing latency and bandwidth consumption.
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