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  • Intelligent machines part 2: Big data, machine learning and its challenges

    In the 1990s, average computers ran on megabytes of RAM and processing power under 100MHz, with hundreds of gigabytes of global Internet traffic being generated each day. Nowadays, RAM is in gigabytes and processing power is in the thousands of MHz, with hundreds of terabytes of Internet traffic per second.

    Written by Rebecca Merrett18 June 15 13:22
  • IBM commits to Apache Spark compute engine

    Calling Apache Spark "the most important new open source project in a decade that is being defined by data," IBM today announced that it will embed the compute engine into its analytics and commerce platforms and offer Spark as a service on IBM Bluemix.

    Written by Thor Olavsrud16 June 15 00:26
  • A quick rundown of how deep neural nets work

    Deep learning has proven to be a powerful method for going about artificial intelligence over the last few years, which has led to a growing interest in it across industries. So how does it generally work?

    Written by Rebecca Merrett12 June 15 15:16
  • Cascading big data framework gets Apache Tez support

    After about a year-and-a-half of development, big data application platform specialist Concurrent today released a new version of the open source Cascading big data application framework.

    Written by Thor Olavsrud10 June 15 23:54
  • Creating the right digital roadmap

    Australian universities face a significant challenge: deliver digital content to students from anywhere but still provide the same level of learning that has been traditionally offered by teachers in lecture theatres.

    Written by Byron Connolly29 May 15 14:59
  • IBM unveils industry-specific predictive analytics services

    Drawing on a history of more than 50,000 analytics-focused client engagements, IBM has debuted 20 new behaviour-based predictive analytics solutions tailored to address 12 industries and use cases within those industries.

    Written by Thor Olavsrud29 May 15 06:33
  • More tech trends to disrupt data centres

    This week CIO is exploring the top tech trends expected to disrupt data centres in the future, as well as IT departments, business units and the c-suite, including shifting skillsets and business strategy.

    Written by Bonnie Gardiner27 May 15 11:38
  • 5 tools and techniques for text analytics

    There’s a proliferation of unstructured data on the Net and coming into customer call centres. But manually going through the haystack to find the needle is an insurmountable, unrealistic task to complete. Speaking at the recent Big Data TechCon event in Boston, data mining expert, Dan Sullivan from Cambia Health Solutions, discussed several tools and techniques to get you started.

    Written by Rebecca Merrett18 May 15 16:29
  • Pivotal rolls out Hadoop distro update, new query optimizer

    At EMC World in Las Vegas this week, Pivotal rolled out enhancements to its big data suite, including major component updates to its Pivotal HD Hadoop distribution and up to 100x performance upgrades to Pivotal Greenplum Database and Pivotal HAWQ.

    Written by Thor Olavsrud08 May 15 23:21
  • IBM Watson adds hybrid Cloud developer tools

    IBM Watson this week began rolling out new hybrid Cloud capabilities that will integrate IBM Cloud with a growing number of cognitive computing and content analytics services in the Watson Zone on Bluemix, IBM's open standards-based cloud innovation platform.

    Written by Thor Olavsrud08 May 15 05:40

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