1Mby1M Udemy Courses with Sramana Mitra: Domain Knowledge

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. 

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Machine Learning AI Startup Case Studies with Sramana Mitra

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Featured Videos

From PhD Student to Machine Learning Entrepreneur: SuperAnnotate CEO Tigran Petrosyan (Part 1)

Tigran and his brother were Ph.D. students when they decided to quit their Ph.D. program and build a company out of their Ph.D. research technology.

They have since raised over $15M in funding and built a customer base of ~200 in their ML Ops business. They are leveraging countries like Armenia and Bangladesh for development and data services.

Best of Bootstrapping: Bootstrapping with Services at the Cusp of AI and FinTech

If you haven’t already, please study our Bootstrapping Course and Investor Introductions page. 

In this case study, Cognaize Founder Vahe Andonians talks a lot about bootstrapping – bootstrapping to exit, bootstrapping with services, so on. You will also learn a nifty way of building domain knowledge on top of horizontal AI expertise. This is a valuable and extremely interesting way of building AI companies for entrepreneurs to consider.

Sramana Mitra: Let’s start at the very beginning of your journey. Where were you born, raised? What kind of background?

Vahe Andonians: I was born in Iran. When I was a couple of weeks old, we moved to the United States. Then my parents moved to Austria. I grew up in Austria. I studied there. I studied high-frequency technology. I did my first job there. From there, we went to Germany. I’ve lived in Germany now for 12 years.

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Bootstrapping with Services at the Cusp of AI and FinTech: Vahe Andonians, Founder of Cognaize (Part 1)

In this case study, you will hear Vahe talk a lot about bootstrapping – bootstrapping to exit, bootstrapping with services, so on. You will also learn a nifty way of building domain knowledge on top of horizontal AI expertise. This is a valuable and extremely interesting way of building AI companies for entrepreneurs to consider.

Entrepreneurship in the Age of Artificial Intelligence and Machine Learning

There are over six million students enrolled in Machine Learning courses on Udemy. The most daring will try to start their own businesses.

For these learners, we continue to introduce Udemy courses based on the 1Mby1M methodology that will assist budding entrepreneurs in creating a pragmatic strategy.

I believe, strongly, that entrepreneurship and entrepreneurial capitalism can be democratized, and wealth can be created in the middle of the pyramid using capitalistic principles. In the next 2-3 decades, the potential for distributed capitalism is very high and the outcome should be extremely positive around the world. That is the mission upon which my current work with One Million by One Million is based.

Artificial Intelligence, Big Data and Machine Learning are going to be at the forefront of this immense burst of energy.

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Best of Bootstrapping: Bootstrapped a World-Class AI Startup First, Raised Money Later

If you haven’t already, please study our Bootstrapping Course and Investor Introductions page. 

Raghu Ravinutala, CEO of Yellow.ai, has built an incredible AI startup from India with a global base of enterprise clients. Fabulous story!

Sramana Mitra: Let’s start by introducing our audience to yourself as well as the genesis of Yellow.ai.

Raghu Ravinutala: I’m the Co-Founder and CEO of Yellow.ai. Yellow.ai enables enterprises to drive automation on their customer experiences and employee experience by integrating a whole set of enterprise data and delivering phenomenal experiences that the companies can leverage for sales, marketing, HR, and IT automation.

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Exploring the Trend of AI Startups: Opportunities, Lessons, and White Space

One of the single hottest trends in technology startups is Artificial Intelligence (AI). Machine Learning, Natural Language Processing, and various other nuances are being constantly applied to problems up and down the alleyways of all industries, from manufacturing, to retail, to education, to drug discovery.

All the methodology building blocks you have been learning through the 1Mby1M entrepreneurship fundamentals courses apply.

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Thought Leaders in Artificial Intelligence: Comet ML CEO Gideon Mendels (Part 1)

We’ve covered ML Ops before in interviews such as Arize.

Gideon provides a comprehensive overview of how the space is evolving and the opportunities on the horizon.

Sramana Mitra: Let’s start by introducing our audience to you as well as to Comet.

Thought Leaders in Artificial Intelligence: Iterate CTO Brian Sathianathan (Part 1)

In this interview, we explore the priorities of enterprise decision makers through the lens of an AI platform vendor.

Sramana Mitra: Let’s start by introducing the audience to yourself as well as to Iterate.

How to Use Your AI, ML and Big Data Knowledge to Bootstrap a Startup

Let’s talk about the field of medicine. If you think about what a doctor needs to do to diagnose an illness, she needs to consider all the symptoms, take into account all the test results, consider all the treatment options, factor in all the side-effects of various medications and their interplay with other medications the patient is already taking. 

This is, effectively, a multivariate optimization problem that a doctor has to do in her head. And, she needs to keep up with all the new research and advances in medical science, and factor those in as well. The field of medicine is full of incorrect diagnosis and mistreatment of illnesses. Now, if you replace this whole process with software, which IBM is trying to do with their Watson supercomputer, medical diagnosis becomes a truly scientific, deterministic process. 

I can tell you, if I have the option of being diagnosed by software versus a human doctor, I would always prefer software. It would be far more accurate.

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