Sramana Mitra: Your use case is quite broad-based. You’re focused on the telecom vertical, but the use cases are broad. It’s not productized. You’re providing professional services style of use cases on top of a common data handling platform.
Prashant Kumar: Yes. We are like SAP for telcos. The platform is agnostic to any vertical. The approach we have taken is very SAP-oriented. I’ll give you an example. If United Airlines buys Amtrak SAP’s procurement system, the underneath tech doesn’t change.
>>>Sramana Mitra: Do you operate as a product or a services company?
Prashant Kumar: We are primarily an ISV but we have a consulting part as well. We deliver use cases for the customers.
Sramana Mitra: Let’s start with the Telefonica use case. It sounds like that is what you broke into the market with. What is that use case that you started with?
>>>This is a deeply technical discussion about a specific layer of the technology stack where Data Engineering and other data related disciplines are handled.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Cardinality.
>>>Lloyed Lobo, Co-founder and President of Boast.ai, discusses his failures and eventual success building AI startups. Wonderful conversation.
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Sramana Mitra: Very interesting. Where is the technology from? What is your background?
Jeff Feng: It has been introduced and built for a thousand years. The 3D computer vision is not a new domain. I do have a research background in Computer Vision. It’s one of the domains in artificial intelligence. Initially, it was not categorized as artificial intelligence. Computer vision plus machine learning equals artificial intelligence. Somehow it’s true.
>>>In this discussion, we explore use cases of Vision Sensors within AI.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as CloudPick.
Jeff Feng: I’m the Founder and CEO of the company. We are focusing on technologies in artificial intelligence, machine learning, big data as well as Internet of Things. We have done a bunch of work in technology development and utilization in real-life industries.
>>>Udemy has over six million students who are learning Machine Learning on the platform. Many of these students are aspiring entrepreneurs.
Here is a list of Udemy entrepreneurship courses based on the 1Mby1M methodology that would help them put one foot before the other to get a startup strategy figured out.
>>>