Category Archives: Products

IBM Insight 2014 – Day 2: The “One Thing” – Watson Analytics

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The highlight of Day 2 at IBM Insight 2014 was the presentation of numerous examples, new features, powerful capabilities, and strategic vision for Watson Analytics.  This was the “one thing” – (to borrow the phrase from the movie “City Slickers”) – the one thing that seems to matter the most, that will make the biggest impact, and that has captured the essence of big data and analytics technologies for the future, rapidly approaching world of data everywhere, sensors everywhere, and the Internet of Things.

(continue reading more about Watson Analytics here:  http://ibm.co/10zEl6S)

Follow Kirk Borne on Twitter @KirkDBorne

Apervi’s Conflux Gives a Big Boost to a Confluence of Big Data Workflows

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Data-driven workflows are the life and existence of big data professionals everywhere: data scientists, data analysts, and data engineers. We perform all types of data functions in these workflow processes: archive, discover, access, visualize, mine, manipulate, fuse, integrate, transform, feed models, learn models, validate models, deploy models, etc. It is a dizzying day’s work. We start manually in our workflow development, identifying what needs to happen at each stage of the process, what data are needed, when they are needed, where data needs to be staged, what are the inputs and outputs, and more.  If we are really good, we can improve our efficiency in performing these workflows manually, but not substantially. A better path to success is to employ a workflow platform that is scalable (to larger data), extensible (to more tasks), more efficient (shorter time-to-solution), more effective (better solutions), adaptable (to different user skill levels and to different business requirements), comprehensive (providing a wide scope of functionality), and automated (to break the time barrier of manual workflow activities).

(continue reading here … http://www.bigdatanews.com/group/bdn-daily-press-releases/forum/topics/apervi-s-conflux-gives-a-big-boost-to-a-confluence-of-big-data-wo)

Apervi Conflux

 

Follow Kirk Borne on Twitter @KirkDBorne

Visual Cues in Big Data for Analytics and Discovery

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One of the most fun outcomes that you can achieve with your data is to discover new and interesting things.  Sometimes, the most interesting thing is the detection of a novel, unexpected, surprising object, event, or behavior – i.e., the outlier, the thing that falls outside the bounds of your original expectations, the thing that signals something new about your data domain (a new class of behavior, an anomaly in the data processing pipeline, or an error in the data collection activity).  The more quickly that you can find the interesting features and characteristics within your data collection, consequently the more likely you are to improve decision-making and responsiveness in your data-driven workflows.

Tapping into the human natural cognitive ability to see patterns quickly and to detect anomalies readily is powerful medicine for big data analytics headaches.  That’s where data visualization shines most brightly in the big data firmament!

(continue reading here … http://www.bigdatanews.com/group/bdn-daily-press-releases/forum/topics/press-release-visual-cues-in-big-data-for-analytics-and-discovery)

 

Follow Kirk Borne on Twitter @KirkDBorne