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We're all storing more and more with massive increases in data.
Present-day networks are being challenged by dramatic increases in data rate demands of emerging applications.
Despite only making up 0.9% of all mobile connections - mostly based in the US – 4G connections already make up 19% of data traffic, and the expected rise in such connections will contribute to huge increases in data consumption.
With its vast increases in data, talent, and technology, Wall Street can allocate capital among competing businesses and monitor and discipline management more effectively than the CEO and headquarters staff of the typical diversified company.
Major problems are emerging due to increases in data rates that are much larger than in storage and transmission capacity, as well as humans being cognitively overwhelmed when attempting to opportunistically scan through Big Data.
Combine the advances in capacity for solid-state drives with the increases in data transfer speed afforded by the new U.S.B. 3.0 platform, and the result looks something like Iomega's black slab.
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Vast increases in data-processing capacity have coupled with accelerated data-transmission capability to make possible prospects for improving patients' compliance, providers' diagnostic and therapeutic marksmanship and researchers' ability to tease apart causality from mere correlation.
The increase in data volume and complexity might plausibly result in less control.
Once these changes are complete, users should see a significant increase in data transmission speeds.
The multicore revolution has arrived just as we face an exponential increase in data.
The increase in data complexity may make classical statistical inference less tractable.
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