AI for the Rest of Us: A High-Level Overview Titelbild

AI for the Rest of Us: A High-Level Overview

AI for the Rest of Us: A High-Level Overview

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 Kick off Season 3 of Inside MySQL: Sakila Speaks as leFred and Scott welcome Matt Quinn for an engaging introduction to the world of Artificial Intelligence. In this episode, we step back from the database and explore what AI really is, how it’s shaping society and technology, and why it matters to anyone in tech today. Whether you’re just curious about AI or eager to understand its key concepts, join us as we break down the basics and set the stage for a season of discovery. ------------------------------------------------------------ Episode Transcript: 00:00:00:00 - 00:00:31:22 Welcome to Inside MySQL: Sakila Speaks. A podcast dedicated to all things MySQL. We bring you the latest news from the MySQL team, MySQL project updates and insightful interviews with members of the MySQL community. Sit back and enjoy as your hosts bring you the latest updates on your favorite open source database. Let's get started! 00:00:32:00 - 00:00:58:22 Hello and welcome to Sakila Speaks, the podcast dedicated to MySQL. I am leFred and I'm Scott Stroz. Join us today. It's Matt Quinn, vice president and head of AI at Orracle. Matt leads how Oracle Cloud Infrastructure's AI services are adopted by customers in EMEA. Matt brings deep expertise in enterprise software strategy and a passion for making AI both powerful and its adoption practical. 00:00:59:00 - 00:01:21:03 Today he is here to help us unpack what GenAI really means for the organizations we work for and buy from, and what it means for developers, data professionals, and MySQL users everywhere. Matt, welcome to Inside MySQL: Sakila Speaks. It's great to have you with us to kick off season three of our podcast. Thank you very much, Fred, Scott, great to be with you. 00:01:21:08 - 00:01:43:21 Looking forward to, to an interesting conversation and getting us going for season three. Awesome. Matt, thanks for being here with us. So right off the bat, when most people hear the term AI, they probably think of chat bots. But that's just one form of AI. Can you help provide us with like a high overview of the different types of AI that exist? 00:01:43:23 - 00:02:15:10 Absolutely. And I think AI and itself is a broad church, right? There's a number of different, kinds of AI. The term actually dates back to the 1950s as a concept for you know, machine thinking. It's had a couple of false dawns over the time when compute and data to train. I wasn't really quite ready for this, but as we got into the 90s and the early noughties, as compute power grew, as storage grew, a confluence of internet accessibility, lots of data becoming available, and then we time fed forward. 00:02:15:12 - 00:02:33:12 We found that organizations could do the fundamentals of what we know of AI today things like machine learning. So learning a trend and a pattern, looking at what happened in the past and do a statistical regression on that to predict some future outcome based on what happened in the past. And we use examples of this today without even knowing it. 00:02:33:12 - 00:02:52:11 You know, is this email that's coming into my email system, is this spam or not spam? Those kind to classifier types of AI have been prevalent for the last ten, 15, 20 years, and we're moving forward to where AI has this more kind of human interaction. It's surfacing and it's suddenly popped into the zeitgeist, for for conversation. 00:02:52:15 - 00:03:14:03 So it has multiple facets. We have machine learning trained something to do, something very specific, show it, something that it's seen before and enable it to predict the future based on what it's learned. But we're starting to see this wave of generative AI do more advanced, more nuanced, more humanlike things, and I think that's a really powerful kind of inflection point that we've seen in the last two, three years. 00:03:14:05 - 00:03:39:02 Thank you. So because in your first, answer, you said you said about the 70s and 90s, but why is I having such a huge moment right now? So what changed since that time? I think that the real inflection point is the the kind of conversational nature of it. You can speak human to it, and it can speak human back to you. 00:03:39:04 - 00:04:01:13 If I think about how compute evolved, you know, it used to be I had to type cryptic commands on the green screen in order to be able to use a computer, which meant the audience of people who could use computer to do something was very limited. In the 80s is the GUI. The graphical user interface kind of emerged suddenly it was a keyboard in a mouse, and the population of people who could interact with the computer was much broader. 00:04:01:15 - 00:04:19:02 Mobile did the same for us, but you still had to learn things. You had to take the human to interact in a way that made sense to the computer. With generative AI, I think what's happened in the last 2 or 3 years is actually the computer is coming to meet the human. Suddenly it's able to interact with us in our language. 00:04:...
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