Best of my recent articles on KDnuggets and Data Science Central

I have been regularly featured on both kdnuggets and data science central.

Here is a list of my top articles recently

I discuss these ideas in the Implementing Enterprise AI course


  • Continuous improvement for IoT through AI / Continuous learning
     - 25 Nov 2016

    In reality, especially for IoT, it is not like once an analytics model is built, it will give the results with same accuracy till the end of time. Data pattern changes over the time which makes it absolutely important to learn from new data and improve/recalibrate the models to get correct result. Below article explain this phenomenon of continuous improvement in analytics for IoT.

  • Data Science for Internet of Things (IoT): Ten Differences From Traditional Data Science
     - 26 Sep 2016

    The connected devices (The Internet of Things) generate more than 2.5 quintillion bytes of data daily. All this data will significantly impact business processes and the Data Science for IoT will take increasingly central role. Here we outline 10 main differences between Data Science for IoT and traditional Data Science.
  • The Evolution of IoT Edge Analytics: Strategies of Leading Players - 02 Sep 2016
  • This article explores the significance and evolution of IoT edge analytics. Since the author believes that hardware capabilities will converge for large vendors, IoT analytics will be the key differentiator.

  • How to Become a (Type A) Data Scientist
     - 23 Aug 2016

    This post outlines the difference between a Type A and Type B data scientist, and prescribes a learning path on becoming a Type A.