Extending Product Roadmaps with Generative AI: Acrolinx CEO Volker Smid (Part 1)

In this conversation, Volker discusses how his company is extending its product line with Generative AI, and also, very specific new startup ideas leveraging the capabilities of Generative AI. Sramana Mitra: Let’s start at the very beginning of your journey. Where are you from? Where were you born and raised? What kind of background?

Capital Efficient Strategy for Generative AI Startups: Aisera CEO Muddu Sudhakar (Part 4)

Sramana Mitra: The PaaS business is getting harder and harder to do because the big players are so entrenched. It’s so expensive. The stack is so expensive from an infrastructure and computing point of view. You can’t really play the PaaS game as a startup anymore. Let’s switch to what you’re seeing on the go-to-market

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Capital Efficient Strategy for Generative AI Startups: Aisera CEO Muddu Sudhakar (Part 3)

Muddu Sudhakar: I run a PaaS company. I used to work for VMWare. We had the Hadoop stack and catered to Java. What happened is you have to optimize it to a cloud. You need to take your PaaS and optimize to one infrastructure. If you have a proprietary NLM, it’s not going to be

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Capital Efficient Strategy for Generative AI Startups: Aisera CEO Muddu Sudhakar (Part 2)

Sramana Mitra: Let’s get into some of those questions. You mentioned Azure. Now, generative AI from the Microsoft camp is available on top of Azure as a PaaS for companies like Aisera to tap into. Muddu Sudhakar: We partnered with Microsoft. We use their Azure Open AI. Our algorithms and NLMs are built on Azure.

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Capital Efficient Strategy for Generative AI Startups: Aisera CEO Muddu Sudhakar (Part 1)

Muddu Sudhakar and I share the perspective that the real opportunity for Generative AI startups is not in building platforms but in piggybacking on other platforms. This conversation deep dives into the subject with real world examples and explores all the nuances entrepreneurs need to consider.

Capital Efficient Strategy for Generative AI Startups: RavenPack CEO Armando Gonzalez (Part 3)

Sramana Mitra: Let’s go to your story. How did you build the company? Armando Gonzalez: In the early days, we were mostly doing research and development and trying to figure out how some of our ideas could apply to different problems. Sramana Mitra: When you got this client who wanted to use your trading technology,

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Capital Efficient Strategy for Generative AI Startups: RavenPack CEO Armando Gonzalez (Part 2)

Sramana Mitra: The use case was investing and trading in stocks? Armando Gonzalez: Yes, it didn’t start that way. It started as a very generic AI platform that could do all sorts of things including trading. We thought it could be used for healthcare diagnostics. We were looking at it from a cybersecurity perspective as

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Capital Efficient Strategy for Generative AI Startups: RavenPack CEO Armando Gonzalez (Part 1)

Armando has built an AI company over 20 years, deeply focusing on Finance and Trading.He discusses his journey, and also reflects on how generative AI startups can be built in a capital-efficient manner. Great conversation! Sramana Mitra: Let’s start at the very beginning of your story. Where are you from? Where were you born and

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