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Making BYOD Work in Schools – Three School Districts That Have Figured it Out | Emerging Education Technology

Making BYOD Work in Schools – Three School Districts That Have Figured it Out | Emerging Education Technology | Corporate Challenge of Big Data | Scoop.it
It seems like a lucrative idea, especially for schools that can’t afford to supply each student with a shiny new tablet or e-reader, but that doesn’t mean the concept hasn’t met its fair share of criticism.
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Digital transformation goes beyond mobile to the API layer - diginomica

Digital transformation goes beyond mobile to the API layer - diginomica | Corporate Challenge of Big Data | Scoop.it
What's beyond mobile first? It's API first - and a new class of two-speed enterprise IT leaders that approach digital transformation from the outside in
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Bezos's law signals it's time to ditch the data center

Bezos's law signals it's time to ditch the data center | Corporate Challenge of Big Data | Scoop.it
According to “Bezos’s law,” a unit of computing power price is reduced by 50 percent approximately every three years. AppZero’s Greg O’Connor looks at why the economic gap that favors cloud providers will only widen over time.
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Why Cognitive Computing Is A Big Deal For Big Data 08/14/2014

Why Cognitive Computing Is A Big Deal For Big Data 08/14/2014 | Corporate Challenge of Big Data | Scoop.it

When IBM’s Watson won against humans playing "Jeopardy," most of the world considered it just another man against machine novelty act, going back to Deep Blue’s defeat of chess champion Garry Kasporov in 1997. But it’s much more than that.

As Josh Dreller reminded us a few Search Insider Summits ago, when Watson trounced Ken Jennings and Brad Rutter in 2011, it ushered in the era of cognitive computing. Unlike chess, where solutions can be determined solely with massive amounts of number crunching, winning "Jeopardy" requires a very nuanced understanding of the English language as well as an encyclopedic span of knowledge.

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Splunk Finds Issues Americans Care About Most Through New Open Data Project

Splunk Finds Issues Americans Care About Most Through New Open Data Project | Corporate Challenge of Big Data | Scoop.it

Splunk's eRegulations Insights algorithms also are able to tease out which organizations or campaigns are influencing individuals to submit public comments. By tracking where the users were online when they clicked a link to leave a comment on Regulations.gov, it's possible to guess the nature of their comment. For example, a third of all the comments regarding dark money in campaigns came from the League of Women Voters website, an organization that has been advocating for campaign finance reform.

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The World Of Everything-As-A-Service | TechCrunch

The World Of Everything-As-A-Service | TechCrunch | Corporate Challenge of Big Data | Scoop.it

It’s an exciting time for entrepreneurs working in offline spaces: Real-world startup costs will become dramatically lower, allowing new business models to be developed and tested with much greater velocity. As in the online world, access to capital, infrastructure and specialist skills have become less important than the “the ability to solve problems for people.”

 

 

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Gartner Says Beware of the Data Lake Fallacy

Gartner Says Beware of the Data Lake Fallacy | Corporate Challenge of Big Data | Scoop.it
The growing hype surrounding data lakes is causing substantial confusion in the information management space, according to Gartner, Inc. Several vendors are marketing data lakes as an essential component to capitalize on Big Data opportunities, but there is little alignment between vendors about what comprises a data lake, or how to get value from it.
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How do you find the needle in the haystack? Answer: Get rid of all the hay.

How do you find the needle in the haystack? Answer: Get rid of all the hay. | Corporate Challenge of Big Data | Scoop.it

David Patterson said a standard DNA sequencer can take up to 24 hours to run. “It’s surprising for me to see programs where the unit of time is hours,” he said.


Patterson spoke about a recent case where a boy in Wisconsin was suffering from a mysterious illness that had him trapped in a coma for weeks with brain swelling. He was sent to the University of California, San Francisco, where doctors worked with Patterson and AMPLab to process a sample of his DNA using SNAP. In about 90 minutes, the computer had isolated all the human elements, leaving just the .02 percent that wasn’t. It belonged to a rare bacterium, which was treated immediately.

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It's Time To Welcome The Chief Analytics Officer To The C-suite

It's Time To Welcome The Chief Analytics Officer To The C-suite | Corporate Challenge of Big Data | Scoop.it
A CAO must possess analytical, leadership, and creative skills. Is your organization ready to embark on the Big Data journey?
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Pinterest has big data, and it knows how to share

Pinterest has big data, and it knows how to share | Corporate Challenge of Big Data | Scoop.it

Pinterest is no National Security Agency, but the company, which identifies itself as a “visual discovery tool,” has grown into a collector of plenty information. Like Twitter, Facebook, Google, and other web giants, Pinterest has developed sophisticated systems for storing the data, but it’s also built a tool that lets lots of employees get at it.

In a blog today, Pinterest data engineer Mohammad Shahangian sheds light on the “self-serve platform” he and his colleagues have created for accessing data in Pinterest’s Hadoop clusters sitting in the Amazon Web Services public cloud.

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Graph Technology Provides Valuable Insights From Interconnected Data

Graph Technology Provides Valuable Insights From Interconnected Data | Corporate Challenge of Big Data | Scoop.it

Last year Glassdoor, an online job search engine and career community, incorporated a graph database providing members with real-time job recommendations. In March, it was reported that Cray CEO Pete Ungaro said that a Major League Baseball team had bought a Cray supercomputer, which has the capacity to quickly process vast amounts of data. Just last month, ProgrammableWeb reported that JustGiving, a leading social and charity giving platform, is building the new GiveGraph engine, which should be completed by the end of 2014. According to JustGiving, GiveGraph is the "world's largest graph of giving behavior and contains 44 million people, [tens of thousands] of causes and 111 million connections."

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How Big Data And The Internet Of Things Will Change The Postal Service

How Big Data And The Internet Of Things Will Change The Postal Service | Corporate Challenge of Big Data | Scoop.it

The possibility of equipping the postal network (vehicles, mailboxes, mail pieces and parcels, sorting centers, etc.) with low-cost sensors will exponentially expand the capability of postal operators to collect valuable data. This new rich data sources could help the Postal Service improve operational performance, customer service, create new products and services, and support more efficient decision-making processes. The “Internet of Postal Things”, experts say, could also have a positive spillover effect on other adjacent non-postal sectors, as the information collected by and for the Postal Service could be useful to others.

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Lionel Messi Is Impossible - Statsblast Journalism at its best

Lionel Messi Is Impossible - Statsblast Journalism at its best | Corporate Challenge of Big Data | Scoop.it

How should Argentina fans feel about all this, given the disappointment they’ve experienced in World Cups past and the hopes they’ve pinned on Messi this year? So far in the 2014 tournament, Messi has been erasing whatever gap there was between his Barcelona stats and his Argentina stats, with style. And that gap was never really as big as it appeared...In other words, if Barca-Messi and Argentina-Messi were two different people, even based solely on the stats recorded since 2010, there’s a good chance they’d be the two best players in the world.

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Beyond Big - The Analytically Powered Organization

Beyond Big - The Analytically Powered Organization | Corporate Challenge of Big Data | Scoop.it
Roundtable Discussion

Key points

Getting the right people together with the right technology poses a major challenge.Collaboration among those with different skillsets is crucial—alignment around clear goals can incent this collaboration.Executive sponsorship is essential.Because they were born from data, Internet businesses have a built-in advantage when it comes to employing it.Big data and analytics will continue to evolve, but they are here to stay.
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Data artist in residence: Why your data needs an artist's touch

Data artist in residence: Why your data needs an artist's touch | Corporate Challenge of Big Data | Scoop.it
A growing number of companies are looking at new ways to display their data and turning to the art world for assistance.
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Cancer Research: Not a One-Size-Fits-All Approach | Innovation Insights | Wired.com

Cancer Research: Not a One-Size-Fits-All Approach | Innovation Insights | Wired.com | Corporate Challenge of Big Data | Scoop.it

In the not-so-distant past, all people with cancer were treated with a one-size-fits-all approach. But thanks to recent advances in genome sequencing technologies and super computers, it’s now possible to ferret out the genetic mutations and other molecular abnormalities that underlie certain cancers. This information is one of the most important resources cancer patients can have because it can allow doctors to tailor treatments to the unique aspects of their cancer...


Why? Because even in uncommon cancers like multiple myeloma, we are now seeing mutations that had previously never been linked to the disease. Just the other day I was talking to a fellow multiple myeloma patient who had recently relapsed and had run out of options. After having her cancer genome sequenced, Lenetta learned she had a mutation in the BRAF gene, a cancer-causing mutation that we had recently linked to multiple myeloma in about 5 percent of patients. Drugs targeting BRAF had already been shown to be a lifesaver for patients with a particularly deadly form of melanoma who have a BRAF mutation — if you, like Lenetta, also have a BRAF mutation, wouldn’t you want to want to know if drugs were available that might help?

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The 6 Simple Step Checklist for Analyzing Your Competition | Jeff Bullas

The 6 Simple Step Checklist for Analyzing Your Competition | Jeff Bullas | Corporate Challenge of Big Data | Scoop.it

Still looking for reasons to use competitive analysis in your internet marketing campaigns? Read through the following reasons and find out yourself.

Identify opportunities to serve newly acquired and prospective customers.Determine size of the market – identify service gaps and areas for self improvement where competition is exploiting at the moment.Find the tried and tested ways to cater the target market.Identify and promote your unique value proposition.Conclude if your marketing and promotions strategies are effective or not.Knowing where you stand at the moment is very important. Competitive analysis on it.

 

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8 Reasons Big Data Projects Fail - InformationWeek

8 Reasons Big Data Projects Fail - InformationWeek | Corporate Challenge of Big Data | Scoop.it
Most companies remain on the big data sidelines too long, then fail. An iterative, start-small approach can help you avoid common pitfalls.
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If You Think Big Data’s Big Now, Just Wait | TechCrunch

If You Think Big Data’s Big Now, Just Wait | TechCrunch | Corporate Challenge of Big Data | Scoop.it

“The promise of big data has ushered in an era of data intelligence. From machine data to human thought streams, we are now collecting more data each day, so much that 90% of the data in the world today has been created in the last two years alone. In fact, every day, we create 2.5 quintillion bytes of data — by some estimates that’s one new Google every four days, and the rate is only increasing…,” Levine wrote.

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Google shows off Mesa, a super-fast data warehouse that runs across data centers

Google shows off Mesa, a super-fast data warehouse that runs across data centers | Corporate Challenge of Big Data | Scoop.it
Google has published a paper about its latest big data system, a globally distributed data warehouse called Mesa that can ingest millions of rows in minutes and even survive a data center failure.
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How the Internet of Things Changes Business Models

How the Internet of Things Changes Business Models | Corporate Challenge of Big Data | Scoop.it
Value creation is no longer one-and-done.
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New York Times Chief Data Scientist Chris Wiggins On The Way We Create And Consume Content Now

New York Times Chief Data Scientist Chris Wiggins On The Way We Create And Consume Content Now | Corporate Challenge of Big Data | Scoop.it
"What were aiming to do is try to inform product decisions and marketing decisions, as well as potentially newsroom decisions.
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Talking the Cloud Business With Amazon CTO Werner Vogels

Talking the Cloud Business With Amazon CTO Werner Vogels | Corporate Challenge of Big Data | Scoop.it
Amazon's cloud business may be the second-fastest-growing software company after Google.
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How IBM is using big data to fix Beijing’s pollution crisis

How IBM is using big data to fix Beijing’s pollution crisis | Corporate Challenge of Big Data | Scoop.it

The city is flanked on three sides by smog-trapping mountain ranges.There are numerous sources of foul air, and a multitude of subtle ways the chemicals interact with each other, which make it hard to identify what problems need fixing.

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Cloudera: Impala's it for interactive SQL on Hadoop; everything else will move to Spark

Cloudera: Impala's it for interactive SQL on Hadoop; everything else will move to Spark | Corporate Challenge of Big Data | Scoop.it
There was a lot of news about Spark’s ascension in the big data ranks this week, as well as some speculation. According to Cloudera’s Mike Olson, his company is widely embracing Spark — including to run Hive — but not in place of Impala.
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Google Just Made Big Data Expertise Much Tougher to Fake

Google Just Made Big Data Expertise Much Tougher to Fake | Corporate Challenge of Big Data | Scoop.it
Now that Google has rendered Hadoop passé by putting forth its Cloud Dataflow service, data analysis “experts” will have to work harder
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