Sramana Mitra: You mentioned BPO jobs going from US to India and now being replaced by bots. That is eliminating all jobs. Same thing is happening in manufacturing. Manufacturing went from America to China and now it’s getting automated. If we get to self-driving cars, there won’t be Uber drivers. There will be self-driving Uber
Sramana Mitra: Can you take us through a couple of your portfolio companies that are really interesting? What can we learn from them? T.M. Ravi: In the Internet of Things space, the big shift is the growing commoditization of devices. Much of the value is moving to applications and data. That commoditization is not just happening
Responding to a popular request, we are now sharing transcripts of our investor podcast interviews in this new series. The following interview with T.M. Ravi was recorded in September 2016. T.M. Ravi is Managing Director and Co-founder of The Hive, a venture studio. The discussion touches upon a couple of key issues: the prevalent incubator/accelerator model of
Robin Wiener: I think the one thing about being an entrepreneur is that you always try to find what you like to do and see if you can make a career out of it. That’s what happened with recruiting for me. I found something I was passionate about and started following that. That took me to
Naveen Sharma: Many of our current service offerings started off as XTIN projects. Take for example our Ignite offering, which was the result of a bunch of researchers who had young children who were interested in how to use technology to personalize education. They went to K to 5 classrooms and observed how the teacher
Sramana Mitra: I’m going to switch gears a bit and ask you to put on your Chief Innovation Officer hat on. Let me give you a bit of context about why I want to go in this direction. In our incubator program, one of the areas we’re doing a lot of work on right now
Sramana Mitra: These are good examples of taking data and doing something interesting with it to produce actionable business value but it didn’t really cover multi-modal data. You say it was one of the issues that you’re trying to illustrate. Can we take a use case where there is actually multi-modal data involved? Naveen Sharma:
Naveen Sharma: Our challenge is not the question of volume, it’s more of variety because if you look at our call center data for example, that’s primarily an audio-based database. If you look at transportation services, that’s primarily video-based data. If you look at our call centers, they’re also looking at social media data, which is