Thought Leaders in Artificial Intelligence: EdgeVerve CEO Sateesh Seetharamiah (Part 3)

Sramana Mitra: The use case that you just described works a lot better in automation than as humans. For humans to look at things and decide at what price to bid and whether to bid or not, there is no way humans can beat AI in doing something like this.

Sateesh Seetharamiah: It was done by humans. Even today.

Sramana Mitra: Wall Street traders made huge amounts of money in functions that don’t need to be done by humans.

Thought Leaders in Artificial Intelligence: EdgeVerve CEO Sateesh Seetharamiah (Part 2)

Sramana Mitra: Let’s pick three use cases and talk about what problem are you solving. What is exciting about that use case?

Sateesh Seetharamiah: I’ll pick three use cases that are publicly available. One of them is Philips. Philips had an opportunity to drive tremendous automation in its entire accounting and finance space. They had hundreds of people. Reliability was not up to the mark. There was a tremendous opportunity not just in terms of automation but also in terms of timely and efficient interventions.

Thought Leaders in Artificial Intelligence: EdgeVerve CEO Sateesh Seetharamiah (Part 1)

We explore the topic of Vertical AI further in this interview.

Sramana Mitra: Let’s start by introducing our audience to yourself as well as to EdgeVerve.

Sateesh Seetharamiah: I’m the CEO of EdgeVerve. EdgeVerve is a wholly-owned subsidiary of Infosys. I’m an entrepreneur. I started companies and then later joined Infosys to see how similar startup ideas could be harnessed in the context of large enterprises. That’s what I’ve been doing. EdgeVerve is one example of taking innovation in large enterprises for large enterprises.

Thought Leaders in Artificial Intelligence: Darvis CEO Jan-Philipp Mohr (Part 3)

Sramana Mitra: If you look around, what are some open problems that you would point new entrepreneurs towards?

Jan-Philipp Mohr: There are a lot of other sensory technologies which are exciting and could add a lot of value. We have a very big lab in Nashville where we try out a lot of things. It’s a very green field. In my opinion, there is still a lot of room for improvement when it comes to distributed computing, especially when you run multiple models and when you want to embed models in chips. There are still physical limitations in these hardware environments.

Thought Leaders in Artificial Intelligence: Darvis CEO Jan-Philipp Mohr (Part 2)

Sramana Mitra: What does the competitive landscape look like?

Jan-Philipp Mohr: There are a lot of AI companies and computer vision companies out there, but we try to concentrate on the logistical aspects of it. There are not that many competitors. On the one hand, there is RFID. On the other hand, there are some US companies and British companies who are doing computer vision in a similar context. There’re some more on the retail side and some more on the strict detection element. We tried to concentrate on the mapping aspect of things.

Thought Leaders in Artificial Intelligence: Darvis CEO Jan-Philipp Mohr (Part 1)

JP discusses his virtual Computer Vision company that spans Germany, Nashville, Islamabad and more, and caters to very large customers in Logistics, Retail, and Healthcare.

Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Darvis.

Jan-Philipp Mohr: I started Darvis about seven years ago. At that time, we were still called Hashplay. We pivoted in 2019. Since then, we concentrated on building the ultimate visibility platform for spaces. We use computer vision to translate the real world into data. We do that in logistics and hospital use cases.

Thought Leaders in Artificial Intelligence: Yamin Durrani, CEO of Kami Vision (Part 4)

Sramana Mitra: The bulk of your revenue right now comes from the home security segment.

Yamin Durrani: That’s right.

Sramana Mitra: Based on where you sit, where do you see open problems where new entrepreneurs could come in and build new businesses? Where would you point and steer new entrepreneurs towards?

Thought Leaders in Artificial Intelligence: Yamin Durrani, CEO of Kami Vision (Part 3)

Sramana Mitra: How do you sell these use cases? How does GE, for instance, sell these use cases?

Yamin Durrani: Not everyone is selling all of these use cases. GE has smart lighting. They want to combine the security angle with the lighting angle. If there is detection of a human being by the camera, then lights should turn on. They can detect if there is nobody present in the room. They could switch off the lights. They can program it for different lighting. The primary goal is security.

Sramana Mitra: This is the OEM strategy mostly through security apps. What about the other verticals that you’re going into?