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The amount of information organizations must process at the edge has exploded. This is especially true for federal agencies and the military, which generate enormous quantities of data from mobile devices and sensors in equipment, buildings, ships, aircraft, and more.
Finding effective ways to manage, use, and protect that data is challenging. But there’s an effective and cost-efficient solution. The combination of neuromorphic processing and self-searching computational storage can enable organizations to quickly process vast troves of edge data.
The Edge Data Dilemma
Edge data can provide insights that enables more effective core missions. Trouble is, the compute and network infrastructure needed to handle that data hasn’t kept up. Organizations lack the compute power to process the data at the edge, and they lack the network bandwidth to transmit the data to a centralized location where they have processing power.
Traditional computing technology takes up too much space and generates too much heat to be useful at the edge. Traditional network technology…
