Factors like latency, bandwidth, security and privacy are driving the adoption of edge computing, which aims to process data closer to where it’s being generated. Consider a temperature sensor in a shipyard or a fleet of cameras in a fulfillment center. Normally, the data from them might have to be relayed to a server for analysis. But with an edge computing setup, the data can be processed on-site, eliminating cloud computing costs and enabling processing at greater speeds and volumes (in theory).
Technical challenges can stand in the way of successful edge computing deployments, howeve
Zededa lands a cash infusion to expand its edge device management software
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