1. Articles in category: Big Data and Analytics

    121-144 of 239 « 1 2 3 4 5 6 7 8 9 10 »
    1. Big data gets its first official standard at the ITU

      The United Nations' International Telecommunication Union (ITU) agency announced its first-ever standard for big data. The new international standard details the requirements, capabilities and uses of cloud-based big data, with an eye toward ensuring that its benefits can be achieved on a global scale. It also outlines how cloud computing systems can be leveraged to provide big-data services.

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    2. Don’t Dread Data Ethics And Governance

      Data ethics is a subject our industry has largely ignored, avoided and failed to acknowledge as important. This neglect is almost certainly caused by fear — fear that examining the question would expose us as doing wrong; fear that ethics might stifle innovation; fear that the ethical questions are insoluble and intractable. Perhaps more importantly, adherence to those standards and procedures can be made feasible with good technology. In other words, ethical data use can be productionalized and, in large part, automated, through the use of good tooling. Seen this way, data ethics is really a specialized area of data governance ...

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    3. Overcoming 5 major supply chain challenges with big data analytics

      Sixty-four percent of supply chain executives consider big data analytics a disruptive and important technology, setting the foundation for long-term change management in their organizations (Source: SCM World). Ninety-seven percent of supply chain executives report having an understanding of how big data analytics can benefit their supply chain. But, only 17 percent report having already implemented analytics in one or more supply chain functions (Source: Accenture).

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    4. Big data gets a new open-source project: Apache Arrow

      Hadoop, Spark and Kafka have already had a defining influence on the world of big data, and now there's yet another Apache project with the potential to shape the landscape even further: Apache Arrow.  Based on code from the related Apache Drill project, Apache Arrow can bring benefits including performance improvements of more than 100x on analytical workloads. 

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    5. Does your company need a chief data officer?

      It's a rare business today that doesn't depend on data in some significant way, but does that mean most companies need a chief data officer. That's a question on more than a few executive minds in this big-data era, particularly as analyst firms wax increasingly enthusiastic about the role. Gartner, for instance, recently said it expects 90 percent of large organizations to have a chief data officer by 2019.

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    6. Who’s in charge of AI in the enterprise?

      Artificial intelligence (AI) is starting to disrupt the workplace as applications powered by machine-learning algorithms begin to permeate enterprises at every level.Just who’s doing that disrupting – and to whom do they report? Data scientists, business architects and quantitative analysts (also known as quants) are most often the professionals exploiting the burgeoning technology – sometimes under the mantel of the IT department, but often not.

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    7. Intelligent assistant landscape shows slow growth but huge potential

      Ever since Apple’s Siri heralded the age of intelligent assistants (IAs) four years ago — followed by Microsoft, Google, Microsoft, and Facebook — pundits have complained that intelligent assistant technology isn’t living up to its promise. The truth is that innovation in this domain, as in all technological domains, follows a predictable cycle and goes far beyond the big incumbents to include niche players (such as Nokia’s Here, the intelligent mapping and navigation specialist that BMW, Audi, and Daimler bought for $ 3.1 billion several months ago).

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    8. Disconnect between CIOs and LOB managers weakens data quality

      Having inaccurate or incomplete data is bad for business. Yet substandard data quality is a staple of many organizations, largely because of a disconnect between CIOs and line of business managers, according to a 451 Research survey of 200 senior IT and business leaders from large enterprises. The research bolsters the case for a chief data officer (CDO), a C-suite executive who can both serve as a liaison between CIOs and business managers and boost data quality.

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    9. Gartner says $16.9bn BI market in last stage shift from IT to business

      Gartner predicts worldwide business intelligence (BI) and analytics sales will reach $16.9bn in 2016, as buying shifts from IT to self-serving business people in organisations. This is an increase of 5.2% from 2015, according to the firm. The company reckons corporate organisations are in the last stages of a “multiyear shift from IT-led, system-of-record reporting to business-led, self-service analytics”.

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    10. ​Global BI and analytics market tipped to hit $16.9b in 2016

      The global business intelligence (BI) and analytics market is forecast to reach $16.9 billion in 2016, an increase of 5.2 percent from 2015, according to Gartner. In Australia, the BI and analytics market will reach AU$700.1 million, up 9.1 percent, while in New Zealand, revenue will reach NZ$92.3 million, an increase of 8.1 percent from 2015. Gartner said CIOs in Australia and New Zealand ranked BI and analytics as their top technology priority for 2016 in a recent annual survey. Gartner managing vice president Ian Bertram noted that as analytics have become ...

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    11. A new breed of ‘data-first’ tools could soon dominate the enterprise

      We are about to witness an upheaval in the enterprise software market that will put billions of dollars of IT spending up for grabs. In the old world, enterprise applications were primarily about increasing a business’ efficiency through better workflow — data and analytics were add-ons. In the emerging world, applications will be “data first,” putting data and algorithms at the center, and using them to drive other applications.

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    12. 8 ways IBM Watson Analytics is transforming business

      IBM says Watson represents a new era of computing — a step forward to cognitive computing, where apps and systems interact with humans via natural language and help us augment our own understanding of the world with big data insights. The Watson Analytics offering is intended to provide the benefits of advanced analytics without the complexity. The data discovery service, available via the cloud, guides data exploration, automates predictive analytics and enables dashboard and infographic creation. Here are eight examples of organizations using Watson Analytics to transform their operations.

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    13. Why 'data scientist' is this year's hottest job

      It's notable enough that close to half of the 25 "best jobs in America" named by recruiting site Glassdoor this week are tech-related, but even more striking is the fact that "data scientist" tops the list. With more than 1,700 active job openings on the site earlier this month and a median base salary of $116,840, data scientist also garnered Glassdoor's top "job score" ranking and "career opportunity" score.

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    14. The 2015 Analytics Software Market

      Now that the books have closed on 2015, it’s time to look back and take in some of the changes in the analytics software market. There have been several trends (open source, cloud hosting, SQL on Hadoop) that have continued to play out, as well as the emergence of AWS Redshift as a major force in data warehouses. Additionally, a number of startups have converged around the ecological niches the emergence of Redshift has created in an otherwise stagnant market.

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    15. IBM’s Watson Now Powers AI For Under Armour, Softbank’s Pepper Robot And More

      From its debut to the world as a Jeopardy champion in 2011, IBM’s Watson has made a name for itself as a powerful artificial intelligence platform for large enterprise applications, from medical research through to finance. Now IBM is aiming to take Watson to the consumer. IBM CEO Ginny Rometty unveiled strategic partnerships with sportswear maker Under Armour, Softbank Robotics’ Pepper and more, which are using Watson’s machine learning algorithms and AI to run intelligent and more personalised apps and other services.

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    16. Why Startups Will Dominate The AI-Powered Apps Landscape

      I recently had an interesting conversation with someone who argued against the viability of artificial intelligence startups, given the tremendous budgets and development resources large tech companies like IBM are committing to develop broader platforms — the premise being that these platforms will fill each niche application startups try to carve out. I’d like to argue against…

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    17. Beyond the hype: When data collaboration really matters

      The rate of data creation today is already simply mind-boggling. And it’s speeding up more every day. IDC’s latest Digital Universe study predicts about 1.7 megabytes of new information will be created every second for every human being on the planet by 2020. Consumers create the vast majority of new data in the world today — through social channels, retail POS purchases, online behavior and preference tracking, digital output, cell-phone locations, and the like. Yet, IDC found that only 0.5 percent of that data’s ever analyzed.

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    18. Don't look for unicorns, build a data science team

      Bob Rogers, chief data scientist with Intel's Big Data Solutions, says that rather than seeking out rare individuals who excel in all the areas that encompass data science, CIOs should build data science teams with complementary talents. "You don't have to be a unicorn," he says. "We're looking for people who have one of the major skill sets and some comfort level with the others — the ability to be creative, handle ambiguity and communicate well. One of the key outputs of that kind of thinking is the ability to characterize what's important to others."

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    19. Why Electronic Health Records aren't more usable

      It shouldn’t come as a surprise that most doctors are unhappy with their electronic health record (EHR) systems, which tend to be clunky, hard to use and may actually get in the way of truly excellent patient care. Here’s why that’s not likely to change anytime soon. A recent study found that, of 41 EHR vendors that released public reports, fewer than half used an industry-standard UCD process. Only nine developers tested their products with at least 15 participants who had clinical backgrounds, such as physicians. 

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    20. Big Data Still Requires Humans To Make Meaningful Connections

      Big data is a big deal, make no mistake about it, but it’s probably not as big a deal as it’s going to be eventually when we really figure out how to make good use of it. For now, we have this muddled middle where we understand the value of the data, but most organizations and governments don’t know how to use that data to its full potential. These two articles, in their own way show the confusion we are feeling about big data today. It’s like something right on the edge of our consciousness that ...

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    21. ​Eight Wire pushes for fixed-price data migration

      It's one of the biggest user bugbears in IT: data migration can be costly, risky and resource intensive. When user organisations face a significant platform shift, they often go to market for data migration services - developers, DBAs and project managers. Wellington-based Eight Wire is trying to change that, offering data migration through a point-and-click software tool called Conductor, replacing human wetware with software. But doing that opens the door to other disruptions, such as offering consumption-based pricing. That in turn creates the opportunity to offer data migration at a fixed price, known upfront before a project commences.

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    22. The 4 things Google believes are key to the future of search

      Before talking about the future of search, one of Google’s top researchers wants you to understand just how dramatically search has changed in the past two years. Speaking at the Futurapolis conference in Toulouse, Behshad Behzadi, director of search innovation at Google’s Zurich lab, pointed out that the majority of searches now happen on mobile devices. And with Google’s cloud auto-tagging photos, searching images has become more effective. In addition, Google’s search will now even look into other apps on your smartphone for answers, he said, and open those apps that have the best info.

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