R. Rajesh Jeba Anbiah

Our team has done some Machine Learning projects. When it comes to recommendation system, my favorite has been so far PredictionIO which was based on Apache Mahout (Now they have switched to Spark). I was also avidly learning Machine Learning for some time. My boss suggested me to attend the CTO Talk event hosted by OrangeScape. Its first session is “AI/ML in Flipkart” by Flipkart CTO Ravi Garikipati. As I mentioned earlier , I always had my skepticism towards these buzz words.  But, this presentation changed my perspective for good. Event The event started with welcome note by Rajesh Manickadas, Head of Engineering, OrangeScape. Then OrangeScape CEO Suresh Sambandam quickly introduced and handed over to Ravi Garikipati. Flipkart CTO Ravi Garikipati Ravi explained his journey from TCS in 1988 to IBM, Oracle, etc. He explained his earlier attempts of AI based virtual assistant for [24]7. Also, quickly connected with the audience through his remark about his connection with ...

Bubbles of bitcoin, blockchain, machine learning, deep learning, artificial intelligence and more People usually appreciate me for my predictions on technologies. As I already noted our team will quickly hit the edge case for any use cases and that's supposed to be the reason for my better prediction rate. And so, here are my predictions… Bitcoin bubble When Bitcoin became talk of the town/industry, I informed my boss and colleagues that I find no real use case for this digital currency--except in underground markets like drugs, etc. In fiat currencies, there is at least a way to take legal route, in case, if you've transferred the money and not received the goods. But, in Bitcoin, this is not possible at all as it is not a legal currency. So, if there is no trust, the chances that other person can cheat you by not sending the goods and or not transferring bitcoins after receiving goods. My stand above vindicated by the article Ten years in, nobody has come up with a...