Kony, Inc. Selects TIBCO Jaspersoft for Cloud-based Analytics and Reporting

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TIBCO Software Inc. (NASDAQ: TIBX) has announced that Kony, Inc., a leading enterprise mobility company, is using TIBCO Jaspersoft® for Amazon Web Services to achieve embedded analytics within its mobile platform. Jaspersoft®, the “Intelligence Inside” applications and business processes, is used by Kony and its customers to monitor, report, and analyze the deployment of mobile applications.

Leaving Data on the Table: Data Scientists Reveal Obstacles to Big Data

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The huge volume of Big Data produced by sensors, genomic sequencers, electronic exchanges, and connected devices continues to generate headlines but it’s the diverse types of data, not the volume, that’s a bigger challenge to data scientists and is causing them to “leave data on the table.”

Interview: Webtrends Delivers Marketing via In-The-Moment Analytics

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“In the next few years, the imperative for marketing to be “data-driven” will force big data & digital analytics to converge becoming the standard for applying big data to marketing. Webtrends is already heading down this path, utilizing big data technologies to enable in-the-moment marketing. The chasm between reporting and action will be crossed and the digital analytics vendors that do not have major investments in big data today will be even further behind in the future.”

Production Deployment with R

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To help our audience leverage the power of machine learning, the editors of insideBIGDATA have created this weekly article series called “The insideBIGDATA Guide to Machine Learning.” This is our seventh installment, “Production Deployment with R.”

Data Science 101: Introduction to Deep Learning on Hadoop

As the data world undergoes its Cambrian explosion phase, our data tools need to become more advanced to keep pace. Deep Learning has emerged as a key tool in the non-linear arms race of machine learning. In the video below Josh Patterson and Adam Gibson take a look at how we can parallelize Deep Belief Networks in Deep Learning on Hadoop’s next generation YARN framework with Iterative Reduce.

Interview: Razorsight Delivers Analytics Solutions for Communications World

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The communications market is a huge one with a lot of competition that mostly centers around price and service. If a company can–via real-time analytics–identify their customers needs and predilections, they can more likely retain them and give them better service. Razorsight uses a cloud-based solution to address this concern that utilizes streaming data to […]

Revolution R Enterprise vs. SAS Performance Benchmark

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The debate over which statistical platform sits premiere over the others for data science applications rages on. The discussion often turns to the popular R and SAS environments. But to focus the dialog on performance only, a new benchmark study was just completed by commercial R provider Revolution Analytics.

Building a Better Brain: Saffron Cognitive Computing Platform Replicates How We Associate Facts

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Saffron Technology has been on a quest since 1999 to replicate the way the human brain learns using associative memory. Saffron is now commercially available as a cognitive computing platform following beta testing for real-time operational risk intelligence and decision support in defense, energy, healthcare and manufacturing applications.

The R User Conference 2014

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I am really looking forward to attending my first useR! conference – coming to Los Angeles June 30-July 3. I’ll be at the big show to cover all the late breaking R news and report back to you all here. This annual conference jumps around the globe, alternating between the U.S. and Europe (last year’s conference was held in Spain). This year the conference will take place on the campus of the University of California at Los Angeles (UCLA).

Unsupervised Machine Learning

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To help our audience leverage the power of machine learning, the editors of insideBIGDATA have created this weekly article series called “The insideBIGDATA Guide to Machine Learning.” This is our sixth installment, “Unsupervised Machine Learning.”