In considering cloud computing for the Intelligence Community, security is an obvious concern.
In computer science, the concept of computers built into everything is called ubiquitous computing, pervasive computing, ambient intelligence or, my favorite label: everyware.
Why does operational intelligence define a new category of computing, and how would you define it?
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Mobile apps combined with the power of cloud computing will allow business intelligence and analytics to become affordable to even the smallest of merchants.
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That common intelligence agency architecture also used cloud computing technologies.
As a bonus, cloud computing offers defense and intelligence agencies the ability to increase efficiencies and incur marked cost savings during their lifecycles to alleviate some of the pressure of budget reductions.
As a bonus, cloud computing offers DoD and Intelligence Community agencies the ability to increase efficiencies and incur marked cost savings during their life-cycles to alleviate some of the pressure of budget reductions.
Naveh says a lot of the work the company does is so-called open source intelligence, with trained experts using computing and other technological tools to connect the dots of information that are already in the public domain, particularly on the Internet and social networks.
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The defense and intelligence communities are not immune to cloud computing.
With groundbreaking video compression technology, OnLive harnesses cloud computing to provide the power and intelligence needed to instantly deliver the latest, premium game titles to any HDTV via the OnLive Game System or nearly any PC and Mac via a small browser download.
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How operational intelligence is emerging as a new category of business computing based on the rising impact of machine data?
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Over the past couple of weeks, I have been engaged in a series of discussions that have really highlighted to me the critical issue around why our defense and intelligence agencies are moving so quickly to adopt cloud computing.
As of the last annual survey, the three-highest rated priorities for investment from 2012 to 2015 included Analytics and Business Intelligence (BI), Mobile Technologies and Cloud Computing.
Watson is the latest collaboration between IBM and Rensselaer, the oldest technological university in the U.S. The company and the university have worked together for decades to advance the frontiers of high-performance computing, nanoelectronics, advanced materials, artificial intelligence, and other areas.
D-Wave is advertisting a number of different applications for its quantum computing system, primarily in the field of artificial intelligence.
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Only America's National Security Agency is thought to have the raw computing power required to unscramble Skype packets, and its intelligence-gathering efforts are far removed from day-to-day law enforcement and the collection of evidence for prosecutions.
Cloud computing is unique in its ability to address these critical defense and intelligence mission needs.
After funding for SETI, which stands for "Search for Extraterrestrial Intelligence, " was cut, researchers looked around for a new way to get the computing power they needed.
In a press release issued last month about the investment, William Strecker, In-Q-Tel's chief technology officer, said the intelligence community is looking for new ways to secure information given the increasing ubiquity of cloud computing.
Turning Big Data into actionable data is made possible by at least two key factors: (1) cloud computing, which scales in processing power, thereby allowing (2) the application of business intelligence, which works most efficiently when integrated with the cloud.
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