IIoT course@IISc: Analytics for IoT and FluxGen visit (week 6)
I’m nearly half way through the IIoT course that I’m handling at Center for Continuing Education at IISc. I decided to offer this course for various reasons, however from the experience that I have had so far I don’t think there is any reason worth above my own learning that has happened through this course. Many thanks to people like Muralidhar Somisetty, who by the way came over to my class to give a guest lecture on Data Analytics for IoT on 17th February.
About six months back, my friend Vikram Sharma had introduced me to Murali as a potential speaker from a startup for the IEEE Smartech Workshop (Taj Vivanta, November 2016). Murali was kind enough to give me an opportunity and from then on my interaction with Murali has been very frequent. About two months back, when I was preparing the course content for IIoT, I had approached Murali to give a guest lecture on data analytics as I thought it was a very important component in IoT and something I didn’t have enough expertise. He had gladly agreed to give an hour long lecture on the same. I remember him frequently calling me a few days before the day of his lecture to fine-tune his presentation so that it is in sync with the course I’m doing. He is such a pro in the field that he can give the talk with no preparation yet he wanted to make sure the talk was precisely crafted to the needs of the audience — I was really inspired by his attitude.
Murali started the talk with a brief introduction to Innohabit, where he is the CTO and co-founder. In his initial slides he gave a big picture of our lives with the advancement of Artificial intelligence (AI) and after that, he went on to speak more in detail about Big data, Analytics and AI. It is not possible to give the exact details of the topics he covered, however, here are the titles of some of the important slides he presented: Big Data- 4Vs: Volume, Velocity, Variety and Vercity, How Big Data is different from traditional database, What is data analytics — value of data analytics, Branches of AI, Machine Learning, Tools for Big data, Machine Learning and AI, Analytics in IoT, Why Analytics is important in IoT. He presented interesting case studies around IoT systems with Analytics capability too. In the last fifteen minutes of his talk, he focused his presentation around Industrial IoT. Some of the titles of his slides include: Analytics for IIoT, Industry 4.0 ecosystem, benefits of Analytics adoption in IIoT. Murali encouraged questions during his presentation itself and hence it was very much interactive from the start. I could sense many “Ah ha” moments among the participants during the presentation. In the end it was one fantastic exposure to Analytics, Big data and AI. You can go through the entire presentation at the end of the post.
After Murali’s talk, we had a couple of demos. Saravanan, a participant, had made an ultrasonic based bore-well automation using Arduino which he presented to the class. After his demo, we had a demo to control a solar street light using cloud interface and explanation of development tools used to make the demo by my colleague from FluxGen, Jagatheeswaran using Wi-Fi modules . The participants were quite thrilled by both the demos but I could sense they wished for more practical knowledge of hardware and software system.
Since we didn’t have the class last Friday (24th Feb) on account of a Hindu festival, I invited my students to FluxGen Lab on 25th Feb to get more exposure in practicals. I was expecting a few students but to my surprise, we had about 50% of the class present at FluxGen Lab by around 5PM. I had requested my colleagues, mainly the interns and the fresh out of college engineers, to give demos of the hardware and software platforms that we are working on at FluxGen to my students from IIoT class. I could sense great enthusiasm from both the parties. In this process, I could see significant knowledge transfer from my young colleagues to my students and I also could also see my young engineers sharpen their skills by putting extra effort to help my students learn. After the visit, I invited all my colleagues to the WhatsAPP group formed by my students, for future interactions. I’ve already started seeing a great deal of knowledge exchange between my colleagues and students through this group — I only hope everybody learns as much as possible in this collaboration.
Thanks again for going through this post and also for the generous feedback I keep hearing from you about the course. I hope we can keep the momentum and develop some interesting Industrial IoT product prototypes towards the end of the course.