At 1Mby1M, we believe in learning from case studies of successful entrepreneurs. These case studies involve discussions on opportunities and challenges specific to the domain such as Generative AI, E-Commerce, Digital Health, Cyber Security, and FinTech.
>>>Numerous developers around the world are turning into successful entrepreneurs. Julien provides a textbook case study of a brilliant journey that is a highly repeatable blueprint to follow.
Sramana Mitra: Let’s start at the very beginning of your journey. Where are you from? Where were you born, raised, and in what kind of background?
>>>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.
>>>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.
>>>This discussion explores the cutting-edge use cases in Computer Vision across Home, Health, Retail, etc. Excellent perspective on viable GTM strategies.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Kami Vision.
Yamin Durrani: I’m the CEO of Kami Vision. The company started in the US in August 2020. We focus on providing AI services across the globe.
>>>I always love doing stories of my readers. Anand has been following the blog since 2010. He has built a terrific, fundamentals-focused AI company. And I am thrilled.
Sramana Mitra: Let’s go to the beginning of your story. Where are you from? Where were you born, and raised, and in what kind of background?
>>>A fascinating conversation about how Xovis is applying AI to modeling human behavior in public spaces.
Sramana Mitra: Let’s start by giving our audience a bit of your background as well as the background of the company.
Florian Eggenschwiler: I’m the Chief Product Officer at Xovis. Xovis is a Swiss-based company helping the world rethink people flow. We do that by deploying our own 3D sensors that understand people’s movement. Then we have a variety of software applications that make sense of this data to help a variety of industries to understand how people move through our physical world and initiate change to optimize the flow of people.
>>>Wonderful story of cutting edge application of AI in cancer treatment.
Sramana Mitra: Let’s start by introducing our audience to yourself, a bit of your background, and then ImpriMed.
>>>Marc is yet another techie who has made a successful transition to being an entrepreneur.
In this interview, he discusses his journey, as well as a lot of the nuances of positioning his venture, Starmind, for success.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Starmind.
>>>If you haven’t already, please study our free Bootstrapping course and the Investor Introductions page.
I am always thrilled to see great entrepreneurship in various parts of the world that are off-center. Well, Algo Founder and CEO Amjad Hussain’s journey is a great one from Detroit.
Sramana Mitra: Let’s start at the very beginning of your journey. Where are you from? Where were you born, raised, and in what kind of background?
Amjad Hussain: I was born in a very small village of Pakistan.
I did a startup in 1998 by applying AI to the lead generation and qualification problem. It was early. The data was not yet rich enough.
Now, the data is there. Can the problem finally be solved at the right level of sophistication?
Sramana Mitra: Let’s go to the very beginning of your journey. Where were you born and raised?
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