Data 4 All

38 - Oracle and Sports with Carrie Nielsen

• Charlie Yielding and Charlie Apigian • Season 5 • Episode 38

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We know that Oracle is a data and tech company, but do you know that Oracle is the backbone of F1 Racing (Red Bull Team) and the Premier Futbol League (English Soccer)?  Charlie Yielding and Shauna Sprague interview Carrie Nielsen, Senior Director Product Strategy and Analytics at Oracle at the 2023 Analytics Summit in Nashville, TN (Oct. 2 and 3).  Carrie shares her love for data and sports and also what it takes to build a simulator at home.

As a introduction, Charlie Yielding sat down with Elise  Cambournac, President & CEO of the Greater Nashville Technology Council (NTC) to talk about the Analytics Summit, the relationship between Oracle and the NTC, and the mission and aims of the NTC.  

Episode Links


Carrie Nielsen - LinkedIn
linkedin.com/in/carrie-nielsen

Elise Cambournac - LinkedIn
linkedin.com/in/elisecambournac/

Find full episodes and clips at our Youtube channel at https://www.youtube.com/channel/UC7JZl_CnkSnGOw6ocQUKZcg

Data 4 All Social Media Links

Charlie Yielding Social Media Links 

Charlie Apigian Social Media Links

For more information please visit us at www.data4all.io or email us at charlie@data4all.io.

[00:00:00] Welcome to the Data for All podcast. I'm Charlie Yielding, and today we don't have a Charlie Apigian.

Today, instead, we've got Elise Kambernak, Kambernak, Cambournac, Cambournac, okay. And she's the CTO of the NTC because our actual podcast today is going to be an interview with Carrie Nielsen from Oracle, who we spoke to at the Nashville Analytics Summit, but before we get into that, I thought you could talk to us a little bit about the Analytics Summit as a show and, uh, Oracle as a company potentially coming to Tennessee soon.

Yeah, absolutely. Thank you, Charlie, for including me in this podcast. We were very thrilled to have Carrie speak on behalf of Oracle at Nashville Analytics Summit. It was, uh, You know, our 7th edition of the Analytics Summit, but, uh, and, uh, Oracle was our presenting sponsor. Uh, I know Carrie did a [00:01:00] fabulous job talking about data and AI and getting everybody excited in the room.

We had, uh, little shy of 600 people attend our session. So it was a two day conference with 35 speakers. And, and Carrie was definitely the highlight of the day. And at the NTC, we've really created the analytics summit with a core group of, um, an advisory board to really, Uh, put, uh, Nashville and our Nashvillians on the map of innovation, data and AI.

And, uh, this year it is all about, uh, AI innovation for sure. So we were very excited, uh, to see, uh, large attendance, great sponsors and, uh, a lot of dynamic conversations. Yeah. So I will say. Everything you just said was accurate like it was it was very busy two days with so many people walking around and I it was my First show and so I thought I was gonna show up to like a convention of nerds [00:02:00] And there were plenty of nerds there, and I use that term Lovingly, but there were there were a lot more just business savvy folks is there there as well and a lot more students than what?

I expected because it it it It does truly seem to be like a data and analytics, uh, convention in the real sense that like everybody interested in it, not just the industry, but everybody interested in data and analytics specifically and AI this year too. Let's not forget that. Yeah. Uh, was there. Very true.

And it's really, uh, I think it's the first time, second time, but this year was very, um, was very telling to see that the conversation moved from data into innovation and really thinking about ways to bring the data to the table in organizations and find ways to innovate with it and with AI. And, uh, and we could definitely feel the energy in the rooms.

Uh, during those two days. Oh yeah. I, when we actually got the chance to sit down and talk to Carrie, as people will find out [00:03:00] shortly, she, she is doing some really, really cool stuff with data in sports, and so she, she focuses on, uh, F1 yachting premier league and a bunch of other stuff that's, that's really popular right now, and they focus on real time data and analytics during races.

So the pit crews during these F1 races, because as I understand it, pit. Uh, Red Bull Oracle is, is top tier right now. It is. And a big part of that is that they're real time analytics that they're able to spit out. And so in this actual podcast, she talks about that. And a lot of the people that we came to, that came to the, uh, the podcast booth while we were at the show, we're talking about her talk and how like they, they heard everything that they were up to, or the Oracle's up to in the sports world and just got them excited to work with data, like, you know, it's, they quickly became the bell of the ball.

From, uh, from a data employee perspective, because it seemed like everybody wanted to go work for Oracle, which is good, since again, they're coming to Tennessee, and there's going to be a lot of, uh, a lot of potential [00:04:00] jobs, uh, that they're going to be bringing our way as well. Yeah, absolutely. I believe that, um, they broke ground on, uh, their new campus.

So Oracle has made a commitment to open a campus. Uh, in Nashville in where, uh, it's going to be on the east bank of the river. Believe that they're already starting to build that and they've already started to, to hire folks. So we're really, really excited to welcome Oracle, uh, in a big way in our tech community in Nashville.

Uh, they're going to be one of a large, one of our large, uh, employers of techies in town, and we do have a lot of techies, uh, for sure in Nashville. We're a community. Between 62 and 65, 000, um, technicians or technologists in Middle Tennessee, and they're going to add more jobs to, to that, uh, to that pipeline.

Uh, and we were very, very thrilled to have them become our, uh, presenting sponsor at the analytics summit. I think it's a testament to really their [00:05:00] involvement in the community and their willingness to, to continue to grow and support Nashville as a. As a tech hub going forward. Oh, yeah. Yeah. The the NTC has over the past, was it 15 years?

25. 25. Put in so much work to increase the, the general tech awareness in middle Tennessee, and it's not like I moved here in 2008 and this is not the same town. That I moved to, it's, it's different in almost every single way, but the, the thing that I'm most happy about, and especially since like, I, I like to work with the NTC as much as possible that the, the actual tech community here is becoming like hybridized because it's not just transplants anymore.

It's young ins that like came up in Tennessee high schools and went to Tennessee colleges or went to Tennessee boot camps and then got those jobs here in Tennessee. Or as well. And I. I very much like that. Yeah, it's very true. And I think, uh, having large employers like Oracle, but other in [00:06:00] different industries, making Nashville very unique.

Um, because the tech council is not about just, are you a tech company and are you selling technology is also, are you building technology for your own industry, for your own company, for your own needs? So we have a great balance of practitioners who actually are. Also, um, need or also need services from our service provider and other technology companies.

So we have a good balance of truly the technology companies and then the employers in town who might have a 5, 000, um, People, uh, tech workforce here in Nashville. Mm hmm. So that's, uh, the, the long and short of the NTC is like you're, you're here to increase the tech awareness and capabilities of Middle Tennessee.

And so before we jump into the interview with Carrie, is there anything else that you want to share or promote, uh, for the NTC or the, the area in general? I think in, in general, I would say, uh, we're really focusing [00:07:00] a lot on workforce development. Our focus number one is to create that, uh, orchestrated, uh, connected, uh, ecosystem where we provide value to not just, uh, young and senior professionals with workforce development, but also awareness in the high school and middle schools and, and, uh, partner, uh, partnering with colleges and boot camps.

To make, to really continue to grow that awareness and get our younger generation excited about, uh, about tech talent or about technology jobs. And so I think if you look at the full life cycle, uh, NTC is really supporting the entire life cycle from  K-12 all the way to the CIOs, we're having programming that help grow that community and continue to create that connective tissue, because we're in the South, we're in Nashville, we're in Tennessee.

It's all about relationship. And we want to continue to be at the heart of this. Well, so far, so good. Thank you. All [00:08:00] right. Thank you. We're just gonna, we'll just jump into it. Let's jump in. Hello, welcome to Nashville. I heard that this is your first trip here. First trip. Yes. Very exciting. So who are you?

I'm Carrie. Carrie Nielsen. I do. My name is Carrie Nielsen. I'm the Senior Director of Product Strategy for, uh, at Oracle Analytics. Um, as you mentioned, Oracle sponsoring this event. Very excited to be here. Uh, gave the keynote this morning talking about sports analytics today. Okay. Yeah. So what, what type of, uh, what type of sports analytics did you talk about?

Well, Oracle partners with three main sports partnerships. We have Oracle Red Bull Racing that races in the Formula One. We have the Premier League, which is in the European Soccer League. And we have the CLGP, which is, you know, they go around global, but it's catamaran racing on the open waters. I watch that on YouTube every now and again.

Oh, really? I'll have to check it out. [00:09:00] It's pretty cool to see these big catamarans that are foiling up, you know. Over on top of the water moving fast for 60 miles and a boat. I didn't know, I didn't know Oracle had their hand in so many sports though. Yeah. You know, they engaged in sports and it's been a great technology partnership for us to be able to showcase and help move forward their innovations they're looking to do.

Um, so we've been, um, a part of, you know, everything in our stack for the teams to be able to leverage machine learning. Uh, fan experience and be able to just leverage data to make decisions, which I see here, you guys, you know, are a fan of. Yeah, we, we like that a little bit. It's all data nerds here. So before we get into some more of that stuff, tell us, uh, like everybody's got a data story that works in data and no two stories are the same.

So what is, what is your data story? How'd you wind up working with data? Oh, well, gosh, I've been working with data for almost 30 years now. It was one of my first jobs. Um, and it was at, um, uh, PC manufacturing company where [00:10:00] they had these physical slips that they would write on and say, there's a part failure.

And it was just from that day on forward that my brain says, this should not be the way this works. We need to create a database. We need to have this be entered in by, um, that have statistical process control up on the monitors for the. The manufacturing floor to see, and that transitioned into semiconductor and then healthcare and then, uh, done sales, presales.

Uh, now I'm doing product strategy for analytics products. Oh, wow. Yes. Uh, been a journey. Yeah. That's a 10 year experience. Yes. I have some, I have some scars. And so, so are you, are you going to be transplanting to Nashville or are you, uh, are you going to be working from where, actually, where are you from?

Boise, Idaho. Okay. Um, you know, I would have considered it maybe once all your construction is done. Oh, that's never going to happen. It's been a, it's been a construction project for a while. It's been, yeah, 4 a. m. this morning and I'm like, jackhammers. Welcome to the house, Phil. Boise's a little bit [00:11:00] quieter.

Uh, I'm a Four Seasons recreational kind of gal. So, um, love that. But, uh, plan to bring my family back. We were trying to come now, but I was unable to get everyone together. So. Awesome. Yeah. Come back. It's a fun place to hang out and lots of stuff to do. Yeah, absolutely. Did you get to experience Broadway at all?

Uh, I went down to the warehouse. Is it that where all the food court? Oh, yeah. Fifth Broad, yeah. The assembly food hall. Assembly food hall. Uh, grabbed some lunch there yesterday. Planning now, you know, the night before the keynote, I kind of lay low, make sure that I'm prepared and slept well. Yeah. Uh, so tonight I'll be being able to go out and hopefully hear some music.

I hear there's some great music here. Yeah. The vibe is amazing. Yeah. I wish we had it. Broadway is definitely a spectacle. It's just shoulder to shoulder. Almost all the time, uh, but everywhere you go in Nashville, and this is not a joke, uh, music is great. Yes. I live, I just live in a random neighborhood in Nashville.

My neighbor is an award winning producer. Oh, wow. A Grammy award winning producer. And that's, [00:12:00] so it's, it's all over town. It's just who's here. Yeah, the folks, like, if you play an instrument in Nashville, you better be good. And that's all there is to it. And so, having, having come to Nashville now and talked to, talked here at the Analytics Summit, like, what's Like you were here yesterday, right?

And so what, uh, what'd you, what did you find that was surprising about coming to the analytics summit and being around so many people that are into data at one time? Yeah, well, I get to go to a lot of conferences, so I see a lot of similarities, I think something that was different here. Is the talk of Jenny, I have, of course, that's something that's so new and when I was preparing for the keynote, I was looking at last year's talk track versus the sessions versus this year's sessions, you know, and the abstracts and I was like, wow, that nearly a 50 percent increase in that that topic and seeing this young generation that you guys have here of these, you know, Um, the new, the next generation of analytics professionals that are, you know, excited to, to [00:13:00] come and be a part of that analytics journey.

But, um, yeah, those are probably the two things that, that stood out to me. And, um, I like, uh, this is my first, this is my first analytics summit and then Shauna can give her contrast, but. I'm really impressed by the the students here. So you kind of mentioned the next generation. So students will volunteer get a ticket and then go to go to breakouts and whatnot.

And we talked to several of them yesterday. And I can't believe how many of them have their heads screwed on straight at this point. Right? Because when I was in college, I definitely didn't. Yeah, I was a I guess a late bloomer and the maturity level. Same lane and so yeah, I definitely I don't know that I would have been smart enough to think to come volunteer and come to a conference so that I could come to a conference.

You know, like, I don't think I would have thought through that. So I was, you know, barely, you know, 5 in my pocket. Definitely wouldn't have looked at spending money on a conference ticket, but I think it's awesome. You know, and over the years, I have seen it evolve, you know, from, you know, and we've kind of morphed our [00:14:00] analytics is kind of merging in with me out AI and machine learning and all that.

And so we are kind of evolving with that. So I love to see that. I feel like that, um, Nashville is very welcoming. And so that's one of the things I loved about Nashville. And so I think that's why we have so many young people here, young tech professionals that are like, wow, it's very welcoming.

Everybody's really nice. I only intended to stay for two years, and well, I've been here 20 something, so. It'll get a hold of you for sure. So what does a senior data, or senior director of product strategy do at Oracle? Well, there's a number of them, and so we all do different things. It's a, Being able to understand what the market's doing, provide art of the possible, develop content that our sales teams can use to be able to go sell and understand what the market's doing.

Um, I particularly work with our sports partners, and so I work to ensure that we're, um, you know, helping them implement and understand all the product stack that Oracle has. Um, that can, um, you know, help them keep their competitive edge, but lots of, um, lots of [00:15:00] presentations, which, um, going out and speaking and talking.

And then, um, you know, we have events where we provide, you know, build up kits for like the simulators. I, I built a simulator, one of the first simulators, well, the first simulator in North America in my house for an event. So I bought all the components, built it. You're going to have to back up on that one, like, what do you, what do you mean you built The first simulator.

Well, so to give credit, we have an Australian team that started this, like, creating a simulator and streaming the data in order to do analytics. It's a fun way to let people engage with data and learn and go through that process of Um, capturing data, evaluating the data, making changes to be better. So in North America, we had an event and so ordered all the components, manufactured it all together, got the software installed and, um, chipped it off to the event.

So I was running lots of laps in my living room. I've got some pretty interesting pictures that, um, you know. My husband was like, when is this going to be [00:16:00] shipped, stepping over the, I feel, and unfortunately I have a very white hairy dog, which I'm hoping that hair is finally like departed the simulator right now.

Uh, lab. Um. Just sheds a lot. All the hair. Yeah, all the hair. All the hair. So, so the simulator, uh, that's kind of what I'm getting caught up on. Is that, is that just a, it's like a data sandbox, almost? It's the experience. So, if you look at, you know, I shouldn't just say kids today, everyone plays video games.

Do you play video games? Absolutely. Okay. All the time. Okay. So if you imagine like having an Xbox controller, right, and you're steering and you've got these buttons and you know, you're, you're navigating the experience through a small console. Yeah. If you could translate that to sitting in a seat, having a steering wheel, having a gas and brake pedal.

And, you know, seeing that visualization, that experience is different, but ultimately all the data is streamed directly to Oracle cloud infrastructure from them and, um, organized and presented back real time plus near real time where we do [00:17:00] leaderboards to get people competitive and understand and try to beat times they compete against Max.

Max Verstappen, of course, is. The lead driver for Oracle Red Bull Racing. So he runs laps and gives us times and then we go to events and it really replicates what the e sports team is doing to do driver development at Oracle Red Bull Racing. That sounds fun. Yeah, it's pretty fun. That sounds super fun.

You should buy one. Simulator. Yeah, you can just make one. I made one. But it sounded complicated. I mean, I can build a PC. I know what Charlie's doing this weekend. Reach out if you want any tips. I'll hook you up. We can talk, we can talk. Okay. Because I do like, uh, uh, I do like games. And so, so they're just like, it's just there for people to play with.

And engage with data in a unique way. Is that correct? That's right. Yeah. So it gives them the ability. Once they get done driving, they actually can see their telemetry. It's like brake, speed, gear, steering. Trended and represented [00:18:00] over Mac for SAPAN's data. And it's a great way to learn, right? You're, you're, it's like business.

You're going in, you're collecting data, you're reviewing it, and then you're making modifications. You're saying, I need to break sooner here. I need to stay on the gas here. And so those data points help the drivers, um, learn more about what they need to improve. And then they'll jump back in the simulator and try to beat their time or max again.

That sounds like a great thing to have kids can gauge in, you know, like I can totally see my, my 10 year old being all about that, you know, like. Uh, both the building of the product and then the final product. And so that's really awesome. Yeah. So when I build, like I work on, um, I do support, I don't do software stuff.

So I do support. And so all of our, all of our, we do mobile help desk. And so everything is processed out. Kind of like the track, it's like, you know, this point at this point, you should be here at that point, should be there and stuff like that. And so we build the processes. And then when we're doing QC, we do a similar thing.

We'll take the data and we'll lay it on top of the, of the process and say like, well, [00:19:00] where, where did you go wrong? Or where, where did you go? Right. And all of that kind of stuff. And so we pull, we pull the same kind of insights. And so that's. I think we're gonna have to get a simulator. That's basically, I, I think that could be a show, like we could build a simulator, you know, maybe we time lapse it.

Because I'm guessing it takes a, a few hours. Well, just Oracle, I think we have 26 of them globally now. So you can have them ship to your show and, and, yeah. Yeah. So if you decide you don't wanna build one, just let us know. We'll get you on. Oh, well, I mean, since you guys are coming to town, I imagine you wanna participate in the Nashville community as much as possible.

And I am a part of the Nashville community, so maybe we could work it out, but I, I do think that that's. So with the NTC who, who's putting on the analytics summit, they put a lot of time and effort into raising up the youngins, like building them up, like love it. You know, one of the, one of the stats that, that we talk about on a regular basis is, uh, aptitude versus interest.

And so it's, uh, is, what is it, 70% of 70% or higher of females have an aptitude for technology, [00:20:00] but less than 20% have an interest in technology. And so I've gone and I've talked to these classes of, uh, like we'll call them middle school or early high school and stuff like that. And unless you're on top of like a subject that they care about, they're, they're not, they're not clicking.

But, uh, and so I talk about video games a lot cause that seems to, that seems to work out. But then, uh, if I had a demo, like an active demo to. Anyways, you got my brain turning now, and, uh, Oh, well, you know, I mean, video games are the thing, and if they can relate something that they do and, um, Enhance the experience by sitting in a simulator to do that, because there's probably not, I, I, I queried the group.

I don't think I got one hand of who has a sim in their house, but, um, it's a great way to talk about technology and get people interested. And it relates to business so, you know, closely that it's impactful. Yeah, I do too. Charlie and I both have a soft spot for, you know, giving back to the community and getting that spark started as early as possible and kids, [00:21:00] particularly girls.

I always wonder like what would happen in my life if somebody had struck that spark much earlier, you know, I didn't even get introduced to technology until college. So, and then I was like, Oh, this is pretty cool. Yeah, love it. So what, uh, what's exciting to you these days with technology data, like any, any, anything in that, uh, in that purview, there's like, is something just.

Absolutely the best thing we, you know, it's, there's probably not a specific thing. I think really seeing people move into advanced analytics and leveraging machine learning and having a clear purpose of what their problem is and, um, using the data to make decisions. There's a lot of people collecting data and there's people that are, um, you know, doing analysis, like all of those things are happening.

Red Bull's an amazing story where, you know, they have leaned so far in to, you know, using data to make decisions. And it is so fast, right? They're moving at the fast, you know, face of a race car driving. And so, um, you know, [00:22:00] that's the thing that excites me is when I see the execution. Of being able to not only build it, create and understand what your problems are and what you're trying to solve for and using advanced analytics in order to make better decisions.

Yeah, I like, I do like that a lot. Like my, my, my background is not technology focused, but I've used technology and data to improve my, you know, myself personally quite a lot. Yeah, it's all around us. We kind of have to adapt to it, right? Yeah. We, with Gen AI being the way it is, like everybody's going to adapt in some way, shape or form.

It sparked, it sparked a whole new, uh, you know, line of thought in, you know, in a very specific way. And what I mean by that is like, we don't know what things are going to look like in five years because everything is open now. Like, so all the doors that were closed because of technology limitations or personal limitations or things like that.

Like, it seems like. It seems like if you're willing to get at it, you can, and you can achieve what you want [00:23:00] in ways that just weren't possible. Well, the barrier to entry just got a lot cheaper, and so for everything, you know, when I can build a video app prototype, you know, for a few hundred dollars, that's a, most people can afford that, as opposed to 50, 000, you know.

And our kids have really been raised and trained. When you look at really what they've been exposed to with video games and tech and iPads and, you know, all of these different technologies that they, that surround them, like they've really been prepared for this next wave of being able to pick up that torch and, um, you know, being, when I look, I've been almost 30 years and I look back the way we did, did things and it was very structured and.

You know, and, and so sometimes I wonder, I, I try to bring in young people to, because they innovate and they, they're not bound by these limitations and they think differently. They're, you know, so it's, it's, uh, uh, they're prepared. I, I'm excited to see what that next generation is going to come up with.

They're also not scared to fail. I feel like, you know, like sometimes people are scared to make a mistake and kids will just like, nah, I'll try it. Yeah. Yeah. It was great. I'll do [00:24:00] it. I'll stretch. Wait. That's not literal, right? They're used to the video that you get in your life. You know, like, that's why.

And we'll just give them another life. I wrecked the car. You did? Oh, no. On my video again. Okay. So we talked to, we talked to a round table of, uh, chief data officers, uh, earlier this morning and you mentioned a couple of things that kind of are in line or line up with what they're saying. And so first, like.

They pretty unanimously said that their job is mostly facilitation and enablement, so they have to get out there and like you, but you mentioned earlier, like you'll go to different business groups and like help them and facilitate them in that same kind of way. So it seems like maybe everybody in the data vertical is like, you've got to be a facilitator.

Is there any, are there any. I can't think of any examples where somebody could just not be in, uh, in data leadership at all and not be a, or be in data leadership at all and not be a facilitator. [00:25:00] Yeah, I think that that's always a part of the role. I don't know if it's, uh, you know, holistically, you know, the only thing I, I do a lot of tactical things.

I'm not a CDO, but, um, you know, you, you can easily get brought down if you're a historical tech person and implementer, sometimes you can kind of get brought down inside of the tech quite easily. And so it's important to keep that in mind that, you know, you're trying to provide guidance and and empower and provide, you know, something for these teams to be able to go execute and, you know, you kind of step out of that role of being an executor.

Yeah, the other thing they said it was kind of surprising to me and that's like they have enough data. Like there's no more like, cause I thought that part of their job would be to go generate new data. No, do with it. You need to do something with it. Yeah. And then they introduced me to the concept of high value data and all of that kind of stuff.

And so I hadn't, I had not thought about that before because I'm still in the mindset of just like, if it, if it exists, let's take it in. And if it doesn't exist, let's try to make it [00:26:00] exist and all that kind of stuff. But I don't, I also don't sit on big data either. Yeah. Well, and prioritizing data too, right?

There's so much data, but it really comes back to you. I think, you know, looking at what your problems you're trying to solve and having a clear path of understanding what metrics you need to use, how frequently those need to be evaluated and, you know, what kind of advanced analytics you can do on that data.

So, um, it's, it's, uh, an evaluation process for sure of looking at what you need. Yeah. We are all data rich at this point. Oh yeah. It's the information poor part that we need to work on. Yeah. I mean, I haven't looked at numbers lately, but some of the numbers that they were showing is how fast. Our, you know, overall data volumes grow is tremendous.

It's a, it's an exponential, an exponential relationship. And like one of the things, so I work in mobility and one of the things that we're, you know, we've always been, I say always, we've been waiting on for like the past four or five years is 5G. So 5G technology, like the millimeter stuff, like the really fast [00:27:00] high spectrum, uh, um, connections.

And when that, like, when that becomes ubiquitous, or if they solve for the penetration problem, because signal doesn't go very far, then every car is going to have, you know, 20 different IOT devices reporting metrics constantly. And so, like, there's a, there, you know, we're still going up exponentially, but there's still a barrier ahead of us that's going to make it almost go straight up from the amount of data that we're collecting, because, you know, like right now on, uh, all automated car stuff is like on board.

Uh, computer, but like computers connected to cameras, but then when we get IOT devices, they'll be able to communicate up and then back down in less than, you know, 10 milliseconds. And that's a, that's a real, I mean, it's a, it's a real game changer. And so. How do you, do you, uh, do you ever put thought into how we're going to manage, like, this, the amazing amounts of data that we're going to have to deal with in the future?

Uh, I don't probably look so much at like how to manage it, but like from a volume perspective, but, [00:28:00] um, understanding the prioritization again of the data. Is, is really probably where I would spend more time of what, what problems are we solving? There's going to be, there's, you know, they load so much data.

Then you start taking, you know, a higher refresh rate where you're getting more data elements per, per second. All of those things increase the volume by some factor. But I think it's important also with more data isn't always better, you know, if you're bringing in 200 hertz and you have all these data points that are taking, you know, 200 data points per second, it's like, Well, what problem are you solving?

Do you need to do that? And so I think there will be some kind of an evolution that will require people to kind of start on the end first and say, What problems are we doing? And what data do we need to collect that? Because Um, you know, there's going to be a lot of infrastructure that would need to be captured for data that you may never look at.

So do you have an, uh, do you have like a, an example of like that kind of prioritization in, uh, an actual like sports event? Yeah, I actually just talked about Red Bull Racing with their data capture. Yeah, so they're, um, they're [00:29:00] leveraging real time data, you know, as it's being captured. Um, we'll just talk about the eSports team.

Um, just, you know, they capture when they have all their drivers running about 900, 000 data points per second. Mm hmm. And, um, there is an enormous amount of data around motion and yaw pitch roll and, you know, the position, you know, specific positioning, uh, each tire. And then there's like five or 10 factors for each tire temperature.

And so there's just an endless amount of data that it's available to be collected. And ultimately right now, the driving, um, performance and training that is occurring is. Being focused around telemetry data, speed, break, throttle. And so, you know, being able to identify and capture those specific data elements, um, and the great thing with Oracle is they have object storage.

So at a really low cost, you can also take that data and just say, Okay, let's go put it in some object storage buckets and like have it there in case if we need to ever look back. Um, but the prioritization of grabbing the things that are needed for that specific training, having that going to the database and [00:30:00] because more, even more so than just having the data available, like you need to be performant.

And so being able to maximize the query return times and setting your infrastructure up, um, those things should be considered, but that's an example of, of not pulling in every single data point and really focusing on what, what this use case is. That sounds like some high performance data. Yeah, that does.

And more than one way too. Right. That's awesome. Yeah. Well, I would say, uh, just, okay, we ask everybody this, but on the horizon. So this, I guess, generative AI and AI in general has been like the hot topic this year since chat GPT came out. So what is next? What, what, what's your prediction? You're, you know, we're not going to hold you to it.

So what's your personal prediction? My personal prediction. Okay. I will 100 percent hold it. Okay. We'll call you and you're wrong. Yeah. Uh, you know, I just think it's gonna be, make our lives easier. Mm-Hmm. I, I know there's a lot of people concerned with, um, um, jobs. Yeah. And all these things, you know, but [00:31:00] ultimately the example I gave during my keynote was, you know, 10 years ago, you know, there were people who were still using paper maps to be able to travel from one destination to another.

And with the automation, now we know the exact time that you're gonna arrive. You know, traffic, weather impacts that are there. And you can plan and most efficiently get where you're going and you can even look at multiple routes if they're changing real time to see where you're going, right? And share with your friends.

And share with your friends. So here's my location and this is what I'm going to be or this is where I'm at. So, you know, um, so I think that that will be the same evolution of, of what's there. The large language models, you know, we have such brilliant people that will, will, We have to jump in and there'll be a whole new task of, of them monitoring and understanding, um, you know, how to communicate and, and be clear about what these results that are coming back are.

Um, but it's great. I mean, I, I, I think I'm excited to see what we'll be in 10 years, but I think it'll be an evolution similar as that. I think we'll. You know, like we ask questions in our phone right now, Google's my best friend, and you know, you just, you ask a question [00:32:00] and they tell, it tells you, and you've transitioned from really saying, is that right?

You have, you have some gray area that you're just okay tolerating. And I think that that tolerance will be something that over time people get results in and they'll They'll find, they'll, it'll, it'll, you know, normalize, they'll find an equilibrium with what that tolerance is and people will be able to identify what's good and bad.

So things aren't going to be wild and crazy for the foreseeable future? Oh, I'm sure, you know, I, I, I'm not a data scientist. So, you know, I know that, I know some and I know that there's a lot of concern that they have. And I think it's because it got thrown out there so fast they haven't had the chance to get ahead of it in order to put the message in and fully be able to explain it.

Well, cool. So I'm, I'm glad that I'm glad that Oracle's here now that the, uh, the building is actually going up right where the stadium is. And so you guys are, you guys are going to build the first high rise on the east side of the, uh, okay. So it's a big change for the town, uh, not just because of the high rise, but because Oracle is [00:33:00] such a powerhouse of a company and technology driven and all that kind of stuff.

Like, I feel like Nashville is becoming, is quickly becoming the, like, technology hub of the U. S. because there's been big migrations over the past few years, and we've We've received a lot of expertise and so I, I feel like Oracle is going to pick up a lot of, a good, a lot of good local talent just from coming to town.

That's awesome. Also, so you guys are the main sponsor here as well. We are the main sponsor for this event. And thank you so much. Thank you. For sponsoring. Thank you. And thank you for talking to me. a pleasure to meet you. Thanks for, uh, chatting it up. Absolutely. Awesome. Thank you. Thank you.