Ep 14 - AI Roundtable— Where Do We Stand and What’s Next?
Episode Summary
A panel discussion featuring AI and machine learning experts Joel Foreman (Airworks), Nick Vasilioglou (Relational AI), and Kevin (TechCXO) exploring the current state and future of AI technology. They discuss the distinction between AI and machine learning, practical applications of LLMs, concerns about AI hype versus reality, ethical considerations around training data, and emerging innovations in computer vision, semantic layers, and enterprise AI implementation.
Key Quotes
"We haven't seen a company that wouldn't have existed without language models yet—it's still early days for truly AI-native businesses that couldn't exist without this technology."
"Language models are forcing us to tidy up our technical debt and messy databases—if you don't organize your data properly, AI simply won't work well with it."
"There's a bet that we'll see the first single-employee unicorn startup built entirely using language models without even hiring a co-founder."
Transcript
Hi welcome to Tales From The Sky Lounge, a podcast about business consulting and venture investing. We get out there in the world and we talk to people who are making it happen and get their stories. If you could like and subscribe it really helps us get our message out.
So today we have a special treat in the Sky Lounge. We have a panel of very smart AI machine learning people. So hello Joel, Nick, and Kevin, it's good to have you here on the Sky Lounge.
Hey, good to meet you here. Yeah Joel, why don't you start us off and tell us a little bit about you and what you're working on.
Sure, hi. I'm Joel Foreman, director of AI at Airworks. So Airworks is a company that works on making sense of the world around us from overhead imagery, LIDAR, and all sorts of other different data streams. We largely work in the construction and transportation industry along with some government work. So most of what I'm up to lately is getting overhead imagery and then trying to draw blueprints automatically from it with AI and trying to do 3D stuff with that as well. A little bit more about me, I went to University of Michigan where I got my PhD in mechanical engineering focused on control systems. I spent seven years in consulting after that doing a bunch of different things with some machine learning on microscopes for product defects and spent a year and a half for a defense contractor doing more machine learning, trying to make radar and RC farther, among other things. I've been at Airworks about two and a half years.
Nick, why don't you tell us a little bit about who you are and what you're working on.
Want to go deeper?
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