System Helps Preserve, Share Data

Collecting metadata during the archiving process is a major challenge for science and engineering communities,” said Amy Walton, program director for the recent DIBBs solicitation at NSF. “This project would provide a platform for data sharing and archiving, and incorporate the automatic collection of metadata. The work builds upon existing infrastructure at Purdue Univ., where several testbeds are already in operation, and could have a significant impact on a broad community.

Source: www.laboratoryequipment.com

There were supposed to act as curators of all the data produced by these 14 labs, and this became quite a challenge

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After IBM Deal With Twitter, Watson Supercomputer Can Mine Mountains of Tweets | WIRED

Watson, the artificially intelligent IBM supercomputer, can already beat you at Jeopardy. And soon, it will know more than you do about what’s happening on Twitter, too. It’s part of a deal the two companies announced on Wednesday that’s designed to let IBM’s business clients mine the 500 million daily Twitter messages for competitive intel.

That means IBM customers will now be able to ask Watson questions about what’s going on in the Twitterverse. The idea is to make money from corporations looking for a deeper analysis of Twitter trends—analysis that, with the brain power of Watson, IBM, and Twitter see as going far beyond understanding, say, whether or not a new running shoe is popular. According to Twitter vice president Chris Moody, a deep fryer maker, for example, could analyze tweets about soggy french fries to learn about problems with its new line of products.

Source: www.wired.com

Beyond that, the companies will work on “applications that can help improve business decisions by combining twitter data with our analytics and industry expertise in areas like marketing, customer service, HR, supply chain and more,” said Alistair Rennie, the general manager of IBM’s business analytics division, speaking at an IBM customer event on Wednesday morning.

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Report Reveals Wearable Tech Future Ripe for Growth | News | Hospitality Magazine (HT)

Twenty percent of American adults already own a wearable device and the adoption rate – on par with tablets in 2012 – is quickly expected to rise, according to PwC’s Consumer Intelligence Series – The Wearable Future report – an extensive U.S. research project that surveyed 1,000 consumers, wearable technology influencers and business executives, as well as monitored social media chatter, to explore the technology’s impact on society and business.

Source: hospitalitytechnology.edgl.com

And for wearables to be most valuable to the consumer, it needs to embrace Internet of Things opportunities; transform big data into super data that not only culls, but also interprets information to deliver insights; and take a human-centered design approach, creating a simplified user experience and an easier means to achieve goals. 

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The wearable technology future is coming, and it sounds pretty awful

So many Cassandras

So how do regular people feel about all this? Not great. Asked “How do you feel about the future of wearable tech as part of everyday life?” 59% of respondents in PwC’s survey said they were concerned. Here’s a breakdown of their worries:

How to Leverage Live Marketing With Social Media Before, During and After Events

Create an event that is sharable
Start by creating an event your consumers will want to share. Legacy Marketing Partners goes on to say that “live events that enable consumers to capture and share an exclusive experience, a behind-the-scenes moment, a once-in-a-lifetime encounter or a simple moment of crazy-good fun can transform a one-time event into an ongoing content engine.”

Source: www.entrepreneur.com

Social listening can help determine the best experience to deliver to a target audience. Brands can employ social media listening tools such asSocial Mention, Hootsuite, Icerocket or utilize their own social networks to create a dialogue with consumers. By posing questions or facilitating contests, brands can include followers in crafting their next successful brand experience.

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Tension caused by a new way to acquire Big Data services | #ibminsight | SiliconANGLE

The data center business now includes “the cloud option for small and midsized businesses,” Kobielus said in his live interview with theCUBE co-hosts John Furrier and Dave Vellante at IBM’s annual Big Data conference, Insight. That is why IBM is bringing all of its databases and data platforms into the cloud. “It spans our entire portfolio,” Kobielus said, including data, analytics, and applications.

Source: siliconangle.com

People are taking these cloud platforms and building their businesses on them,” he added. This cloud-first approach includes new product releases, such as dashDB, a cloud, in-memory data service that is available right now as an on-demand, self-service data warehouse

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Bit.ly banned on Google

This happened tonight, shortly after Facebook took the same decision. Even Bit.ly itself is banned, see picture below. This happens only with Chrome, but not w…

Source: www.datasciencecentral.com

Maybe this is more a "business politics" issue or the result of competitive wars, rather than a data science / true security issue. After all, everyone knows that our bit.ly redirects are safe, as we use bit.ly only for internal redirects. Unless of course, if bit.ly has been so badly attacked by hackers, that many of their redirects have been re-redirected. But I know that’s not the case. 

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How to Become a Data Scientist

Clearly data science is very hot right now. Where I think data science contributes the most is basically converting numbers and data into consumable information for human brains; data science helps with decision-making. Beyond the hype and the application of the scientific method to business data, [data science] is a great way to convert the information hidden in the numbers and data into visually and conceptually understandable models that managers can make decisions upon

Source: www.information-management.com

With any position like data science, there’s a lot of excitement as people realize they can benefit from it. People see the value and the industry is really excited, which I think is great, but also there is a lot of confusion. The confusion [will die] down as people are getting used to what data science does and how it can [help decision-making], and some of the demand may die down as the extra excitement and hype goes down. But because of that root problem of data containing information which needs to be rotated and converted for humans to understand and make decisions, data science will stay here for a very, very long time – as long as businesses are generating data, and I don’t think that’s going anywhere. So I think there will be some clarification and some dying down of the hype in the near future, but I think data science is not just a fad and it’s actually a fundamental part of data-driven businesses.

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You can crunch it all you like, but the answer is NOT always in the data

But I think the issue has become much worse recently as data has become more freely available. For example, data journalism has emerged as a field in its own right. Some journalists have taken to applying tortuous analysis to large data sets and the results are then used to “prove” a particular point. Note the use of the word “some” in that last sentence; there are many excellent journalists who use data properly; but not all do so. And it is not just my fellow scribes who are guilty, it is increasingly apparent (although less publicly so) in the commercial world.

Source: www.theregister.co.uk

I am not (obviously) saying that data analysis is wrong; given my day job that would be an odd stance to take. But I do want to caution against the practices of the data analysis zealots and to make the point that context is vital because (despite what the zealots appear to believe) judgement and context are a major part of any good analysis.

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Energy Efficiency and Big Data Analysis | The Energy Collective

Consider that a one-time benchmarking exercise or an onsite audit is only a snapshot of a building’s performance and cannot capture the dynamic responses of a building. Therefore, this portfolio management platform must provide continuous tracking and benchmarking so that profiles are always up to date as the buildings’ physical systems evolve and external factors like weather and utility prices change. 

Source: theenergycollective.com

Consider that a one-time benchmarking exercise or an onsite audit is only a snapshot of a building’s performance and cannot capture the dynamic responses of a building. Therefore, this portfolio management platform must provide continuous tracking and benchmarking so that profiles are always up to date as the buildings’ physical systems evolve and external factors like weather and utility prices change. 

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