• The Rise of Machine Learning – Most Frequent Use Cases

    February 20, 2017

    “Machine learning gives computers the ability to learn without being explicitly programmed so that they can create algorithms that can learn from and make predictions on data.” — Arthur Samuel Machine learning has made huge progress in recent years, and its ... Read More
  • Analysing Big Data analytics – Challenges & Solutions

    February 17, 2017

    In 2008, all the systems in the world generated less than 1 billion terabytes of data.  In 2020 it is estimated that 44 billion terabytes will be generated and 260 billion terabytes of data will be stored. That’s a lot ... Read More
  • Big Data Analytics – Get to Know Your Customer Again

    February 16, 2017

    Big Data Analytics is all about making businesses equipped to understand their customers at a personal level. Again!! Watch the video to learn more. Read the source article at vimeo.com Read More
  • 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