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Archive for the ‘Public Cloud’ Category

 

Is Cloud to blame for the rash of recent security breaches?

Monday, September 8th, 2014 by

In a hyper connected world, both consumers and businesses are under constant security threats. All the more reason to manage data more effectively. Let’s not kid ourselves. We shouldn’t be treating all data the same and not everyone or business needs high level security. When a business does need it, though, there are a multitude of options available that are much more secure than home-grown solutions that often result in single points of failure.

Listen to GoGrid CEO, John Keagy, and Cloud Technology Partner author, David Linthicum, chat on how “cloud” isn’t really the culprit here, rather “cloud” can be more secure than any other enterprise method available.

http://www.cloudtp.com/2014/09/05/whats-icloud/

Big Data to Assume a Major Role in 2014 Hurricane Season

Wednesday, August 20th, 2014 by

Part of what makes Big Data such a unique technological development is its adaptability to a number of different industries, transitioning between fashion analytics and cancer statistics without missing a beat. Although some companies are making use of Big Data to compile more accurate marketing statistics, others are using the cloud computing technology to predict what major weather events are on the horizon in any given area.

How big data can tell you when there's a storm afoot.

How Big Data can tell you when there’s a storm afoot.

Forbes contributor Lisa Wirthman wrote a recent article on how Big Data will assume an important role in this year’s impending hurricane season. In it, she explained how Big Data could be used to help those preparing for such storm thanks to analytics that could save their homes this season.

How does Big Data help predict the weather?
Ever since humans began studying thousands of weather patterns in an effort to better predict what was coming their way, analysis has been at the heart of efficiency when it comes to weather predictions. Technology has done a great deal to help forecasters predict anything from the smallest rainstorm to a monumental tornado, with varying degrees of accuracy.

The growth of Big Data meant that even more data could be collected, although the industry continued to focus mainly on aerial technology to predict developments of interest to readers and viewers. In recent years, as Wirthman explained, “hurricane hunters” have been able to get closer than ever to predicting the specifics of a particular storm.

“Although manned Hurricane Hunters can fly straight into the core of a storm, they typically don’t fly below 5,000 feet,” the source explained. “The Hunters can drop small cylinders into this low-level danger zone to gather data about temperature, humidity and pressure, but they only stay in the air for a few minutes before hitting the sea below.”

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How Big Data is changing organ donations and transplants

Thursday, July 31st, 2014 by

For years, the process of becoming an organ donor has been the same. To be registered, a person needs to attend a drive or go out of the way to get a membership card. To this day, 95 percent of those in the United States who donate sign up on yet another frustrating trip to the DMV, the very place most people try to avoid at all costs. Today, there is still a massive shortage of these volunteers in the U.S., an issue that is being addressed using Big Data and cloud computing to make access for donors and those requiring organs easier.

New technology allows those in need to find organs like others check out library books.

New technology allows those in need to find organs like others check out library books.

Diagnosing the volunteer shortage
Activist groups like ORGANIZE.org have worked to promote more organ donor sign ups in the United States as a result of the current shortage. According to a report from Health Data Consortium, 18 patients die in the country every day waiting for an organ that doesn’t come and nearly 120,000 are currently on the national waiting list. In an interview with ORGANIZE.org, founders Greg Segal and Jenna Arnold explained how cloud hosting could change this shortage and increase the rate at which those who need donations receive them.

“There’s plenty of room to increase donation rates; 90 percent of America supports organ donation, yet only 40 percent have registered, which means there are 150 million Americans who support the cause but still haven’t registered,” they expanded.

Although Big Data can be used to find those who haven’t donated, Segal and Arnold suggested using the technology to hone in on the donors who can really help.

“That sounds like a subtle distinction,” they explained to Health Data Consortium, “but only about 1 percent of deaths medically qualify for donation, so the key innovations will be in registering the right people, not just in registering more people.”

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Unpacking “the Internet of Things”

Tuesday, July 29th, 2014 by

If you’ve paged through a business or technology magazine in the past several years, you’ve definitely come across the term “Internet of Things” while looking for news on Big Data. But what does it actually mean? Unpacking the term can be a hefty but necessary task to push the cloud computing concept into the zeitgeist, which many believe will happen in the near future.

Deconstructing an oft-confused term and exposing its true meaning.

Deconstructing an oft-confused term and exposing its true meaning.

What is it?
According to Techopedia, the Internet of Things, or IoT, is “a computing concept that describes a future where everyday physical objects will be connected to the Internet and be able to identify themselves to other devices.”

Still sound like a science fiction movie? The truth is, devices are already being programmed and designed with this eventual goal in mind. As Wi-Fi spreads to become more convenient and working across multiple platforms becomes the norm, society will gradually inch closer to being one with the Internet of Things.

“The term is closely identified with RFID [radio-frequency identification] as the method of communication, although it may include other sensor technologies, wireless technologies, or QR codes,” the definition continued.

Consider how cloud hosting already impacts our everyday lives via information sharing on mobile devices as well as interaction with Big Data through the way we are marketed to, how we receive information every day, and the way we consume our media. Technology is becoming ubiquitous: many public spaces are now equipped with Wi-Fi and even our televisions and houses are “smart” enough to interact via security systems, for example. In many ways, we’re already well on our way to achieving this future that sounds straight out of a Hollywood script.

When will it become a reality?

Not surprisingly, there’s no exact answer for when the Internet of Things will be considered complete and normalized in our global culture. First, continual achievement in technology needs to reach a stage where there’s less room for error, and second, industrialization needs to transform the amount of access remote and undeveloped areas have to Internet-friendly devices.

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How Big Data Tells a Story

Thursday, July 24th, 2014 by

Associations with Big Data tend to be pretty clinical – it’s often considered a tool to make more accurate scientific statements, identify trends in social media and news, and develop products by gauging customer response. In other words, the cloud computing tool was largely viewed as a shortcut to making money and creating new offerings for the public, whether that was a breakthrough medication, a new way to communicate wirelessly, or something the world had never even heard of. A less common but equally fascinating use of the technology, however, is as a storytelling mechanism – a capability that can be the most powerful use of all.

As has been the truth in past generations, science and storytelling should coexist in order to remain powerful, a fact that rings true when considering the developing uses of big data.

As in previous generations, science and storytelling need to coexist to remain powerful, a fact that rings true when considering the developing uses of Big Data.

The value of storytelling
The concept of storytelling and the value of its teller is a tradition ingrained in basic human culture that has existed for thousands of years. In generations past, before the written word and widespread publishing of books and magazines, storytellers would enthrall listeners with memorized speeches in the manner of Ovid’s “Metamorphoses” and Homer’s “Odyssey.” A recent piece on the Fast CoCreate blog detailed some of the finer points of this tradition.

“Results repeatedly show that our attitudes, fears, hopes, and values are strongly influenced by story,” the source stated. “In fact, fiction seems to be more effective at changing beliefs than writing that is specifically designed to persuade through argument and evidence.”

These statements have plenty of evidence to back them up – stories sell. The movie and publishing industry bring in billions every year, and even our most prevalent social media tools, especially Facebook, are designed to tell the “story” of a user’s life online by highlighting what events and posts have received the most attention. This is just one example of mass data being boiled down to a basic storyline, but it’s a valuable one. Even Snapchat, the ever-present application that is famous for showing a user an image for a few seconds that disappears shortly thereafter, has introduced the “Snapchat Stories” feature that lets users create a narrative from their brief messages.

How Big Data tells a story with accuracy and impact
There’s no doubt that the science behind Big Data is inescapable, but some data scientists have struggled to transform this information into a palatable story for the everyday user to consume. Jeff Bladt and Bob Filbin, data scientists for the activist charity-driven website Dosomething.org, wrote about this process, with which they’re still constantly experimenting, in a recent issue of Harvard Business Review.

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