The availability of different datasets presents an opportunity for Silicon Valley because data scientists and technologists already have the skills to manage the data.
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What you say just shows how much of the bubble you are in, go look at polling data in Silicon Valley or Redmond, or just google it and you can find several hi profile leaders of your member organizations that Openly support Obama.
Extracting meaning from datasets is a process data scientists and Silicon Valley entrepreneurs have already refined.
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The graveyard of once-high-flying stocks includes Digital Equipment, Apollo Computer, Data General and Silicon Graphics (now SGI).
Broadcom Corporation is a developer of highly integrated silicon solutions that enable broadband digital data transmission to the home and within the business enterprise.
Well, if you want to create the next-big thing, you should check out the book, TAPE SUCKS: Inside Data Domain, A Silicon Valley Growth Story.
Intel last summer said it had developed a research prototype of a silicon-based transceiver with four data channels that each send data at 12.5 gigabits a second.
Today, as some of the best minds of Silicon Valley crunch enormous volumes of data being mined by Google and others to monitor the online behavior of individual users, advertising has entered a new age.
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"As we sense in real time more and more about the individual, such as moods and behaviour, we need to provide near absolute guarantees that the information will not be subject to theft or attack, down to the silicon melting and still not giving up its data, " says Justin Rattner, chief technology officer at Intel, the world's biggest chipmaker.
And, just as the early days of computing were born in the garages of Silicon Valley do-it-yourself-ers, data science is likely to develop first in an ad-hoc, hands-on way.
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He adds that it will be a while before Intel is selling optical transceivers, checks find that Cisco and other players are likely to launch silicon photonics-based transceivers for 100G applications in the data center in 2013 and 2014.
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In contrast, Google is a recognized a leader in Silicon Valley at devising new ways to store and generate data more efficiently, to operate massive data centers with thousands of computer servers more cheaply, and to utilize the power of digital technology to pioneer disruptive, cost-reducing changes in traditional markets, from email to travel booking services.
Silicon-based memories do a far better job of storing data than brains ever could.
With the rise of Big Data, personalization technology that can transform user data into unique experiences is all the rage among Silicon Valley bellwethers and VCs alike.
The Silicon Valley lease works out to about 11, 000 square feet of data center space.
Researchers have steadily overcome such challenges to build a series of building blocks from silicon, including components that modulate pulses of light from lasers to encode data and detect such signals.
Keith Collins, vice president and chief technology office at SAS, told an audience at the Churchill Club in Silicon Valley that his firm sees a huge gap in the number of Data Scientists available.
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The emerging field of Big Data is also attracting tons of interest from entrepreneurs and venture capitalists across Silicon Valley.
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The Dutch Data Protection Authority has said that it could take punitive action if the Silicon Valley firm behind the product does not change it.
As we build the next generations of servers and connect them together, we need a technology like Silicon Photonics to leverage that same infrastructure to meet the incredible demand for high-speed data throughput at an acceptable cost.
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From devices to data centers, from consumers to cloud providers, Juniper Networks delivers the software, silicon and systems that transform the experience and economics of networking.
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Silicon photonics is a new approach to using light (photons) to move huge amounts of data at very high speeds with extremely low power over a thin optical fiber rather than using electrical signals over a copper cable.
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Rte 128 had DEC, Data General and Wang, giant self-contained corporations that did everything from etching the silicon to building the boxes to writing the applications code.
He'd survived layoffs at Goldman Sachs' Silicon Valley offices during the dot-com crash, become a well-regarded equity analyst of data storage companies, then taken his stock-picking skills into hedge funds.
IBM's Mr. Vlasov said the company has demonstrated it can fabricate data channels using its technology that are one-tenth the size of others created so far from silicon.
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