Based in London, Ajit's work spans research, entrepreneurship, and academia relating to artificial intelligence (AI) with Cyber-Physical systems. He is the course director of the course: Artificial Intelligence: Cloud and Edge Implementations at the University of Oxford. He is also a visiting fellow in Engineering Sciences at the University of Oxford. Besides this, he also conducts the University of Oxford courses: Digital Twins, Cybseecurity, and Agtech. Ajit works as a Data Scientist through his company, feynlabs - focusing on building innovative early-stage AI prototypes for complex AI applications. Besides the University of Oxford, Ajit has also conducted AI courses at the London School of Economics (LSE), Universidad Politécnica de Madrid (UPM), and as part of The Future Society at the Harvard Kennedy School of Government.
Introduction With the recent news about Facebook and Cambridge analytica, we are rightly concerned about the power and impact of algorithms to shape political debate… Read More »AI and Algorithmocracy: What the Future Will Look Like
Last week, the financial times wrote that there was a sharp fall in MBA applications in the USA. The Elite MBA programs were not affected… Read More »MBA vs. Data Science qualifications: Does #AI and #DataScience explain the fall in MBA applications?
In this post, I explore if ideas of deliberate practise can be applied to teaching coding for Artificial Intelligence / Machine Learning I am exploring these ideas… Read More »Can we use deliberate practise for learning to code #AI and #machinelearning
Andrew Ng is a great fan of reading research papers as a long term investment in your own study (On Life, Creativity, And Failure… Read More »How you can stay up to date with your #AI and #MachineLearning knowledge
In my previous article, I wrote about the impact of Robotic Process Automation which drives Enterprise AI. In that article, I said: The first group… Read More »In 2018 – AI will start to bring jobs back from offshore destinations to the West
Introduction Exploratory Data Analysis (EDA) is an approach/philosophy for data analysis that employs a variety of techniques (graphical and quantitative) to better understand data. It… Read More »Interpreting Exploratory Data Analysis (EDA)
Background Robotics today is not the same as assembly line Robots of the industrial age because AI is impacting many areas of Robotics. Specifically,… Read More »AI technologies used in Robotics
This big picture view lays the foundation of our book Data Science for the Internet of Things. (Co-authored by Ajit Jaokar, Jean Jacques Bernard and… Read More »Data Science for Internet of Things – The Big Picture
I had the pleasure to meet @KirkDBorne last week and participate in a panel moderated by Kirk – Decoding #GDPR, #IoT, and #UX in the… Read More »GDPR and AI – strategies and options in a nutshell
I have a close circle of clued-on/tech savvy friends whose views I take seriously. For the last few weeks, one of these friends has been… Read More »IOTA – The potential to drive Data Science for IoT
