About Ajit Jaokar

#Datascience, #IoT, #MachineLearning, #BigData, Mobile,#Smartcities, #edtech (@feynlabs + @countdowncode) Teaching (@forumoxford + @citysciences). Head of AI for Smart cities lab in Madrid.

Ajit Jaokar Posts (17)

  • Data Science –The need for a Systems Engineering approach - 05 Oct 2017
    We need a greater emphasis on the Systems Engineering aspects of Data Science. I am exploring these ideas as part of my course "Data Science for Internet of Things" at the University of Oxford.
  • AI for fintech course – Early discounts and limited places - 20 Jun 2017
    This new course with limited places will focus on AI design (product, development and Data) for the fintech industry and will be taught online by Ajit Jaokar and Jakob Aungiers.
  • The dynamics between AI and IoT - 18 Apr 2017
    We see the need for a new type of Engineer who will combine knowledge from Electronics & IoT with Machine learning, AI, Robotics, Cloud and Data management (devops).
  • Silver BlogContinuous 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.
  • For AI Engineers/Data Scientists: Implementing Enterprise AI course - 07 Nov 2016
    This unique course that is focussed on AI Engineering / AI for the Enterprise. Created in partnership with H2O.ai , the course uses Open Source technology to work with AI use cases. It is offered online and also in London and Berlin, starting January 2017.
  • Gold BlogData 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.
  • Data Science for IoT course: Strategic foundation for decision makers - 09 Sep 2016
    The course is based on an open problem solving methodology for IoT analytics which we are developing within the course. The course starts in Sept 2016. To sign up or learn more email info@futuretext.com.
  • 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.
  • Gold BlogHow 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.
  • Data Science for Internet of Things course, Online or London - 21 Jun 2016
    Now it is 4th run, the "Data Science for Internet of Things" course is designed to prepare you for the role of a Data Scientist for the Internet of Things(IoT) domain. The course starts in Aug – Sep 2016 , online or in London.