• Here’s What a Neural Net Looks Like On the Inside

    February 16, 2017

    Ever wonder what the inside of a machine learning model looks like? These recently released fascinating images show how the computational graph concept maps to a new graph processor and graph programming framework it’s creating. Read the source article at Datanami Read More
  • Four Ways Big Data Improves the Medical Sphere

    February 13, 2017

    Big Data processing and analysis are penetrating the healthcare industry further and further. Telemedicine, EHR, wearables, and Internet of Things getting more and more popular, the medical sphere is accumulating more and more healthcare records. To make this data useful, practitioners need a ... Read More
  • Infographic: Data Analytics Challenge in the IoT World

    February 10, 2017

    String of infographics which highlights very relevant insights about the readiness of European organisations in taking advantage of IoT data.  Read the source article at Welcome to The IoT World of Telef√≥nica Read More
  • How Spark Illuminates Deep Learning

    February 9, 2017

    Data scientists everywhere are delving more deeply into deep learning (DL).  Developers of convolutional, recurrent, and other DL models use Spark in their projects for the following reasons: Available platforms, libraries, and tools: Spark lets DL developers quickly train and deploy multi-layered ... Read More
  • Machine learning business applications increase IT productivity

    February 8, 2017

    AI has been a hot topic for decades, but it wasn’t until recently that machine learning technology yielded productivity improvement. AI presents unique challenges, but could streamline workflows for businesses.  Read the source article at IT operations news and how Read More
  • Hiding Hadoop: How Data Fabrics Mask Complexity and Empower Users

    February 7, 2017

    “The early bird gets the worm,” the old saying goes. What they don’t tell you is sometimes the early bird gets eaten. In the big data world, the rapid evolution of technology is providing maneuvering room for second-movers, and one ... Read More

    February 6, 2017

    The financial industry has always relied on data – from the earliest moneylenders mentally calculating interest rates on their loans, through to today’s traders moving vast sums around electronically, supported by complex algorithms.  But we’re at a tipping point.  A ... Read More
  • Why Deep Learning, and Why Now

    February 1, 2017

    Deep learning is all the rage today, as companies across industries seek to use advanced computational techniques to find useful information hidden across huge swaths of data. While the field of artificial intelligence is decades old, breakthroughs in the field ... Read More