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.
>>>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.
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.
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.
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.
>>>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.
>>>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.
Ever since ChatGPT was made available to the general public, everybody is talking about how it will impact the world as we know it.
ChatGPT is a generative pre-trained transformer (GPT) built on top of OpenAI’s GPT-3 family of large language models (LLMs). Generative AI is trained on vast amounts of data that enable it to understand and respond like a human. It helps create new content from previously created content. It can write and debug computer programs, compose music, plays, and student essays, and answer test questions.
OpenAI’s Journey and Financials
OpenAI was originally founded in 2015 with a stated goal of promoting and developing friendly AI in a way that benefits humanity as a whole. Sam Altman, Elon Musk, Greg Brockman, Reid Hoffman, Jessica Livingston, Peter Thiel, AWS, Infosys, and YC Research pledged over $1 billion to the venture.
AI and ML is largely being applied to problems within the enterprise. Here is an exception where a solution to an SMB problem is being achieved through AI. Very cool story!
>>>Kay is a Stanford professor. He has applied Deep Learning models to various use cases within the Mortgage and Mortgage-backed Securities space to build Decision Support tools for Traders and Portfolio Managers. The general principle applies to other forms of credit as well, besides Mortgage.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Infima.
>>>Dorian tells a great story of AI applications within Financial Services.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as Squirro.
Dorian Selz: I’m the Founder of Squirro. Squirro is Zurich-based but global AI company. We have over 40 years of recognizing structured and unstructured data.
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