If you haven't already, please study our free Bootstrapping course and the Investor Introductions page. This is a fantastic discussion on how to cold start an AI company, build it to scale, etc. Also, excellent guidance on white spaces around which to build new AI companies. Sramana Mitra: Let's start by introducing our audience to yourself. Tell us a bit about your background and all also introduce us to People.ai. Oleg Rogynskyy: I am the CEO and Founder of People.ai. I have been doing startups all my life. My previous company Semantria was also an AI company. I started it in 2011 and then sold it in 2014. People.ai was started in 2016 when I moved out here to Silicon Valley. I have been working on it ever since. Sramana Mitra: Where did you move from? Oleg Rogynskyy: Montreal. I am originally from Slovenia. I worked for one of the first AI companies called Nstein Technologies from 2006 to 2010. We sold it to Open Text. Our technology now is the Open Text AI. I

Aisera is doing some incredibly advanced stuff with AI-driven workflow automation within the customer service space. Muddu talks eloquently about these innovations. Read on! Sramana Mitra: Let's start by introducing our audience to yourself as well as Aisera. Muddu Sudhakar: Aisera is close to four years old. We started in late 2017. I came out of ServiceNow to start Aisera. There are now more than 150 employees worldwide. It's been great so far. I had spent time talking to Ram Shriram. I and Ram wanted to disrupt the customer service and customer support industry mainly to get people to do things in an automated manner. There are around 40 million in contact centers worldwide. Every large company wants them to continue doing the contact center job whether you are a global system integrator. Let's say your Salesforce solution is not working. Call centers are the working horsemen who keep our lives going on. They're doing this manually. My purpose of creating Aisera is to

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. Sramana Mitra: Talk about specific points that you solve by applying that technical knowledge. Dorian Selz: Most companies produce lots of content. 80% to 90% of that data is unstructured. It's not numeric. It's not tabular. Hence, it's difficult to compute. Add this to an Excel sheet and the only thing you can get out is maybe the number of characters in that cell. It's the last frontier in data analytics to be able to turn this unstructured, nonsensical, and unusable dataset into enabled datasets. In order to do that, you need to be able to apply machine learning elements to it. I don't think there is actual true artificial intelligence out there. There are

Martin has built his AI startup within the Microsoft ecosystem. He shares interesting perspectives on how to leverage Microsoft. Sramana Mitra: Let's start by having you introduce yourself as well ICS. Sramana Mitra: What path have you traveled before coming here? Martin Neale: I am a seasoned campaigner both in bringing many new technologies into the market and commercializing them by mostly working directly with Microsoft.

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. Sramana Mitra: Specifically, what AI services? Yamin Durrani: Our primary focus is computer vision. We've started the company in the home segment. We started servicing the consumers by providing home security for their homes, pets, and kids. Since then, we've branched out to other verticals such as healthcare and brick-and-mortar stores. Sramana Mitra: When you say it's a services business, does that mean you go to market as a professional services company or do you also have proprietary technology? Yamin Durrani: We are a SaaS company. Our go-to-market is different for different verticals.

We have a huge audience of developers, engineers, and programmers who want to transition to becoming successful entrepreneurs. This conversation explores the journey of such a developer. Fantastic story! Sramana Mitra: Let's go to the very beginning of your journey. Where were you born, raised, and in what kind of background? David Moss: I was born in Arizona. I grew up in a small town. There wasn't a lot happening out in this town. I was interested in building things and taught myself how to program in the C language when I was 12. I continued by starting a business when I was in high school fixing computers, building websites, and so on. I always had an idea that I was going to do a startup as I got older. Those dreams did eventually come true. Getting there was an interesting path. I ended up going to college and studying electrical engineering partially because I was a little bored with software at that age. I had been doing software for so long, I wanted to learn more

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? Jonathan Spier: I'm a California guy raised in San Diego. I came up here to go to school at Berkeley. I was never able to escape again. Sramana Mitra: What did you do after Berkeley? Jonathan Spier: I went briefly into consulting and then I landed at a company called Ariba. I was the number 85 employee. Within a few years, we were 3,500 people. It was a fun place to be. Sramana Mitra: We have the Ariba case study. Keith Krach was on the series. Jonathan Spier: He was a great leader. That whole team was amazing. I was the youngest person they hired. It was a really senior team they had by the time I joined. I got pretty much hooked on growth

If you have a strong interest in artificial intelligence, as well as entrepreneurship and starting a business, this is the internship for you. One Million by One Million (1Mby1M) is the first global virtual accelerator, headquartered in Silicon Valley. We aim to nurture a million entrepreneurs to reach a million dollars each in annual revenue and beyond, thereby creating a trillion dollars in global GDP and ten million jobs. Silicon Valley entrepreneur and strategy consultant Sramana Mitra founded 1Mby1M in 2010. She was named one of LinkedIn's Top 10 Influencers in 2015. As a global company, we are looking for learners from all over the world to apply.

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. We saw a lot of demand, especially where there's no data generated right now due to regulations, availability, and other solutions being there and being very inefficient. Today, we are close to a hundred people. Sramana Mitra: Where are you located? Jan-Philipp Mohr: We are in Germany and in Nashville. We are in Islamabad and London. We have a couple of people in Greece as well. Sramana Mitra: What is

Zach is building a Machine Learning platform company upon which 12,000 developers are building apps. This is a terrific conversation that spans how to build developer networks for a PaaS company, and numerous related issues. Sramana Mitra: Let's start by introducing our audience to yourself as well as Edge Impulse. Zach Shelby: I am the co-founder and CEO of Edge Impulse. We are the company that helps to democratize the use of machine learning on real edge computing and real industrial types of systems. That is an area that machine learning is new to. There are a lot of differences in how we have to enable all these developers and companies that want to make use of it. Sramana Mitra: Does that mean that you have a cool engine or platform that you would then have other developers build on top off? Zach Shelby: A really common trend in the industry right now is to use developers as a way to get to market. That is something that we are passionate about. Especially when you