Edge computing is an architecture where data process take place at or near the location of data sources. Cloud computing involves sending data to a remote data center for processing. Edge computing reduces the latency by processing it locally, enabling real-time decision-making. In addition, this approach offers increased security and confidentiality. Sensitive information is processed locally without being transmitted to a cloud server, reducing the risk of data violation. Only non-sensitive data without the requirement of immediate analysis is sent to a data center. This reduces the amount of data that needs to be transmitted.
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In the last four years, corporations have been investing a lot in AI and particularly in Deep Learning and Edge Computing. While the theory has taken huge steps forward and new algorithms are invented…
By Yliess HATI
Oct 10, 2018