 Jumping on again, I will give my pitch one last time for those that have cameras and you feel comfortable. Turn them on. It's great to see faces rather than empty boxes. So I appreciate those who turned them on. If you're uncomfortable or you just want to be kind of passively on that is okay. You can still join in via the chat. And when, when it's time, you can certainly unmute and certainly ask questions as we go. So, Kate, or sorry, Lily was just reminding me that a few years ago, she was, I don't know if this is considered lucky or unlucky, Lily. But the, the course that I teach IST 195 introduction information technology, it's a big course at the high school. It's all of our high school freshmen are in it. So usually about 110 or so. Freshmen from the high school and then usually around you another 140 or 150 from around campus take the class and we'll talk about why in a minute. So it's a class of somewhere between two, 250 300 students, which is abnormal for your high school classes, I would say, but it's by design that we do this one that way. When, when Lily took it, what, when was that was that fall of 23. It was fall 2021. Sorry, fall of 21 that's when it's after the semester. Yeah. So, so Lily took the class and at that time at Syracuse. We were socially distancing. Right. If you remember those great old days of COVID. And I was adamant that I didn't want to teach online that I wanted people back together. But the problem is when you have 300 students, how do you socially distance 300 students. And there's only one place at Syracuse University that I could think we could do that. And that was in the dome, the J may wireless don't formerly known as the carrier dome where our football team plays and our basketball team plays. And because I'm involved in athletics and I know some folks I went to them and said, Hey, I want to teach my class in the dome. And they thought I was joking until I wasn't. And that's what we did right Lily, we had class in the dome. We socially distance 300 students. The lectures were on the big center hung video board that was our projection screen. They built me a little stage. Yeah, built me a little stage I had a mic and look at it. It was certainly an experience it's the only class ever taught in the dome and something I'm sure Lily will remember for me as a professor. It was great and better than being online but it didn't replicate a classroom as they could hear me really well I couldn't hear them as they asked questions. So they would text in their questions I had a little texting platform. And, and we we got through the semester. So fun fun times maybe not so fun times, but you make the best of it. So I'm going to go ahead and share my screen. We can talk. Let's do this. Okay. And I'm just going to just give me a second as I rearrange so I can see some stuff. And you can see some stuff. All right. So, and you might see some of your faces on here and I'm just going to kind of go like this real quick. Feel free to ask questions as we go. And just because of the way I'm sharing my screen. I may jump a couple times back to the chat just to see what's going on. So, first of all, you know, even if I, if I go back one slide for a second, sorry. You know, thought it would be fun to generate an image in AI. Why not. So I just fed it. Hey, this is kind of what I'm talking about and what I teach. Can you build me a image and and this is what it generated earlier tonight for this class. So, I am Jeff Rubin. I have a few different roles. In the eye school in fact I'm going to stop sharing for a second I'm just going to do this different so I can still see you. I'm going to just share the PowerPoint. So then I can see you at the same time. Okay, now I should be able to see you and I can. You can see me. All right, much better. So, I do have a few roles in my life and that's probably because I've never been able to figure out what I want to do when I grow up and even though I'm 50, I still feel like I haven't grown up yet. So, I have been teaching at the eye school for 27 years. And before that I was a student at the eye school so as Lily said I did my undergrad in my master's work in the eye school. And while I was getting my undergrad long time ago, the internet was just commercializing web browsers were just becoming a thing. And so I started a company, as I was doing some web development and thought it was fun. And I started a company called sidearm sports. And I'm still the president of sidearm but I sold the company to a much larger company called Learfield. That's the logo on the top there. I sold it to them in 2014 but remain on as president of sidearm and executive vice president of digital for for Learfield for the last year and a half or so. And then, if three jobs wasn't enough, about three years ago the chancellor of Syracuse University came to me and said Jeff would you help advise me on digital transformation so he's really looking at Syracuse University and really the student experience and how do we grow from our digital experience from what we have in 2023 to where we want to go in 2030 right like and it's not going to all happen at once but kind of this this transformation. And that was supposed to be six months, but now I'm on three years and still doing that and it's like another full time job but I absolutely love it. I'm going to be working with him and the executive team at the university, and we'll talk some of what those transformation pieces will be, and maybe what you can expect if you come here as a student. All right. And so I'm just bringing up the chat in case there's any questions. Okay. So, welcome to to 2023. Right and this is scary, but it's all true. Facebook knows who we are. Right. And what I mean by that it doesn't know that I'm Jeff Rubin, they probably know more about me than I know about myself, or at least that I'm willing to admit about myself. Right. And again not sure how many of you are on Facebook I get it, but take the word Facebook out and put Snapchat or tick tock and it's the same thing. Right. So, so they know who our friends are. They know what we watch they know when we zoom in on something they know and we're stalking they know what what we're looking at I mean they know everything right. Google knows what we want, because it's it's constant right it's trying to predict what we want even when we don't even know we want it. But but Google's trying to help us with that. Amazon course knows everything that we buy in Netflix knows what we watch Apple knows how we operate right. I assume most of us have iPhones maybe not all of us, but it doesn't matter it could be Google knows how you operate if you're an Android user, Apple knows how you operate. If you're an iPhone user and me when you think about that, the point of this is, you know some of these companies right now Google. They're under, I hate to say federal investigation but the Department of Justice is doing an inquiry right and saying like, is this is what they're doing ethical. Is it fair is it right. Is it a monopoly. Right, these are questions that will probably get answered by the time you're in kind of college or in your college life. The other side of this is just recognizing that what is privacy what does privacy mean in 2023 and beyond what should privacy mean. And what if things changed like some people say well I don't want these companies to know everything about me. But then on the other side of the mouth you're saying, well wait a second where did all my great recommendations go of what I'm supposed to binge watch on Netflix. Right and so it's like, we don't want them to know but we want them to know when it benefits us. And so it is not an easy thing to think about. When I look at generative AI, and when I say every software company is leaning into gen AI in every business that I know is working on an AI strategy and if the business isn't working on an AI strategy. I question what kind of business they are and how they plan to operate in the next decade. Now, AI doesn't necessarily just mean generative AI we're going to talk about that a little bit more tonight. There's many aspects of AI of course you know the big one right now is chat GPT and barred and Claude and in the generative AI models. But but we're going to look beyond that. And just like up above there's this ethical approach to what these companies are doing with our privacy. There is an ethical approach to AI we don't know what that is yet. And my gut is the United States won't be the first to figure it out. It'll probably be European Union, or some other group of countries or country. But we will get there. Then we look at data breaches. It's every day, right companies every day it's so and again maybe right now the only mail you're getting is from universities. But I promise you if you ask your parents some of the mail they get in the last year how many notices have they gotten that says, We're sorry we had a data breach and your name and email address or so and so was compromised. Don't worry we've signed you up for a free year of credit reporting. Yeah, if I could bank these credit reports they would last longer than I'm going to live because it's constant data breaches. And then you go into data strategy. How do we manage all this data right all these companies that are collecting data on you has that manage some massive issue even and again you might be wondering how does this all relate to sports and I promise you on the next slide we're going to start making that connection. And you see chat GBP barred Claude more generally AI is changing everything and it will right this this is this is what setting up is when we look at the future it is AI we've got a lot to figure out here it is not going away. And we see how it's being used both ethically, unethically misinformation disinformation. A lot of issues. All of these are things that we talked about in the high school. I get pretty excited about these and I could talk for hours just about this one slide, but you don't want to, because you want to talk about sports. So, let's, let's go forward. Alright, and do me a favor in the chat. Can you all just kind of type in where you're from. Where's home. And so in the chat just throw in where you know you can just write it to everyone you don't have to write it to me. So we have Maryland and ten of fly New Jersey New Jersey Boston, another Maryland Connecticut another Jersey, Rochester right west of Syracuse. New York 10 or I don't know if there's that New York City area New Jersey Toronto Strat Stratford is that Connecticut. New Jersey Washington DC another one from DC, LA. This is why we do it at 8pm so you'll a folks it's only 5pm. People like me I'm ready to go to bed. And I will write after this Connecticut Syracuse Angelina I love it with a nice heart. New York, New Jersey, Lexington mass love this. Alright, so we've got a lot of folks kind of in the East Coast side. We've got at least one from LA, which I love to see we've got one from Canada. Great to see. So, thank you just like to know and that person Maya and Lexington I grew up in Wayland, Massachusetts. So it's pretty close to you. I was just back there last week. Okay. Thank you for doing that with me. So, talking. I want to talk about AI for a minute and in relation to sports. Right. So, when we look at it again at the point this isn't to give you a lecture, but hopefully have some fun. I know it's going to sound like a lecture, but when we look at what AI is, right, it's just, we are making machines think and act like humans, right and perform tasks that humans used to do. And sure, some people might say but you're killing jobs and then there's the other argument. Sure, we are killing some jobs but we're creating other jobs, right because computer scientists computer engineer cloud computing security privacy ethics. We need jobs for all of those right that didn't exist prior to the AI and so we are creating much higher paying jobs for a much more educated workforce is what I would say. When I look at sports and I did this tonight just about an hour ago I was saying like what am I going to talk about with AI and sports and so I jotted down the first five things that came to mind. But there's many others of how is AI being used in sports today and analytics. By far number one, and we'll talk about this in a few slides I'll talk about money ball I don't know how many people have ever seen the movie money ball. I don't even know how many of you know Brad Pitt who was the actor and money ball, but he is a famous actor. But anyway, we'll talk about that in a minute but but the idea of analyzing data to help teams make decisions right and we'll talk about what the NFL is doing with this in a minute. The NBA is doing what college sports are doing injury prevention is a big one even at Syracuse if it during all the practices and and in certain games. The players are wearing sensors, right and this is pretty normal and they are monitoring biomechanics so measure and measuring heart rate, measuring body temperature. Right. And they are what the goal of this is to be able to identify injury before it happens like when is it time to pull somebody off the court when is their body at the point of too much strain or, you know, to get scary for a second. It is not uncommon, almost on a yearly basis I feel that I read something where a high school football player passed away from heat exhaustion, usually down south, because they were doing two a day camps in their body overheated that shouldn't happen in 2023. Right. I mean you could argue it should never happen, but it should not happen in 2023 because we have the technology to monitor the body and be able to have somebody say hey, you're too hot, get to the sidelines cool down drink some water. So, officiating you might love this you might hate this, but you know you wonder what are what are officials going to be in 1020 years, we already see it with minor league baseball. And it's going to soon be with major league baseball, right where we don't need the umpire behind home plate, right because he or she doesn't call balls and strikes. They do it with their own mind what they think versus what is really the strike zone right which which should be the same for everybody. And, and so we can have an official deal we see it in tennis, where we can see if something was in bounds or out of bounds right. If you watch Thursday night football on Amazon, we see it where they have kind of their next gen stats, and you can see all this analysis of what's going on so fantasy sports. I don't know how many of you play fantasy sports. I'm going to pick them league, because I would get addicted if I tried to actually do a real fantasy team. And I don't need I don't have time for another job, but I do do a pick them league. And I spend way too much time trying to figure out. But but right it's all data. It's all data and AI that is helping to generate this in chatbots, which I put this in here just because some of these sound really hard and then you get to a chatbot. We implement. So my company we implement chatbots on a lot of sites, and they're not humans chatting right it's it's just a bot. And but they act like a human sometimes we give them a name. Sometimes the people don't know their humans but the idea is you a fan could ask a question and just normal natural language like, hey, can I bring a pet to the game or can I bring my purse to the game or where can I buy tickets to the game or do you have kosher food or gluten free food at the game, whatever it is they want to ask. And the idea is that the chat chat bot just like some of the bots you've used with AI should be able to learn as more questions are asked and also be able to respond not from just looking it up in a key word, but being able to to truly learn from what's being asked and previous information. I'm just going back to the chat real quick see if there's questions nothing yet great feel free to ask away. And let's go forward. So when we look at other technologies that are part of sports it's, I mean I could go on and on and on right my company which I'll talk about for a brief minute. We're in the web space. So, I'll get to that in just one second but we do college athletic, we do college athletic websites for almost every university in the country, college athletic program so whether it's qs.com and that's really the only one you know because it's the best qs.com I'll say again see us.com. That's that's the best but whether it's them or Ohio State or Michigan or Duke or Georgetown or whomever we do all those we do their mobile apps statistics. We were just chatting about that so somebody's we're going to talk about more in depth over the next 15 minutes or so. Broadcasts right I mean just how many of you put it in the chat if you don't mind how many of you still have what we call linear television meaning cable TV versus over the top, meaning like YouTube TV or something else so so does anyone still use cable. Right, somebody. We did get a question from Jack about. All right, perfect. The a I'm going to read this and you guys look at you all these people with cable. Look at you. I'm very tell your parents to get rid of it cut it go outside right now just cut the cable. Do it. Okay, don't do it. We can't afford that. So, the AI proposed fantasy trades through things like IBM Watson are extremely one side with flawed background thinking. Why don't we help these AI platforms get to a common sense. Jack, come to the ice school and do this. That's exactly right right so look some of these models are flawed and and IBM Watson I'm not going to say you know it's bad technology it's incredible technology but what I would say is is look at some of the newer platforms that are coming out there and what some trained to be able to do things like some of the other platforms that could be trained on statistical data. So yeah, Jack, it's a great insight cable cable cable. I'm taking an AI machine learning at the graduate level right now where we're learning about things like one sided like AI machine learning type things and it has a lot to do with bias and you know when people hear I sometimes they think. As Professor Rubin was saying before that it gets rid of jobs but really AI needs human intervention to make sure the models that they're training or working properly so this one sided thinking you're thinking of actually has to do with bias of the people who are creating the model and so whoever's telling Watson to to read these statistics read this data might have their own bias towards what teams they want to see succeed or when or what players maybe are better in their fantasy league and they don't want to lose to their friends. That's exactly right. Thank you, Lily. And this is where it gets really scary because what happens when AI starts training itself on disinformation. So in other words, if you start feeding an AI model because I'm posting on x formerly known as Twitter. I'm posting disinformation meaning information that's truly wrong. And I know what's wrong, but I get these large language models which is what this generative AI is these large language models. I get them to train on that data. It is going it doesn't know the difference today between what's real and what's fake and that becomes a real problem. Real real problem. Anyway, too many of you have cable tell your families, they can save money by going to YouTube TV. I will give you my code so I get $5. Not joking. But if I had a code I would do that. But you anyway you don't need cable. It's silly. I watch all my sports on YouTube TV and I get much more of them than I did on cable. We're going to talk about sensors we're going to talk about that analytics of it social media really. Here's the beauty of the eye school. You can mix technology with any discipline you want. Right. So for me, I love technology, and I love sports, but I knew early on in my life I wasn't going to be an athlete. My kids are now in high school I have a son who's who's your age, a senior looking at colleges. I invited him tonight he didn't want to come. But, but anyway, the, the idea of going into school and knowing what you want to study. Right. So if it's if you like technology. That's fantastic. For me I love sports as I said I knew I was going to be an athlete, but I was able to take technology take sports and find that intersection and make a career out of it. But if you're on tonight because this lecture maybe intrigued you but you're not a huge sports fan. Take out sports and put in any other discipline. Entertainment, music, arts, government, nonprofit, automotive. I literally take any other field in the globe. And that field cannot be successful in its future without technology. I don't care if it's a for profit company a nonprofit company if it's government sector. There is no one that can tell me an industry that can succeed without technology I don't care if it's trash collection. I don't care if it's lawn mowing I was driving through the university yesterday and we just had a robotic lawn mower mowing the lawn it was the coolest thing. I absolutely loved it. So, everybody is being transformed with technology. My love is the intersection of sports. All right. So we talked about sidearm. Oops, somebody had some audio listen to that. Just make sure your microphone muted if you could. Thank you. Thank you. I have a question in the chat. I have a question lots of a my models are in their infancy that is true suffer from hallucination that is true. And thoughts on how we can prevent this as AI gets more embedded into sports and analytics. Here's the thing is, we have to train the models. And I think what you're going to end up with is a lot of specialized large language models that different companies run that. What do I mean by this, you know, my company has a lot of sports data. Right. I don't necessarily want to feed this all into Claude or bar or chat GPT because then it's part of their model but it's my data. Right. And this is one of the this is one of the issues at hand which is, do we want all these. The AI models being trained on our data where I'm not making any money on it, but it's my company's data. I think what you're going to see is sports analytics as well as other niche areas will have their own large language models and perhaps there's going to you have to pay for some of that data. Perhaps it's just part of a subscription model perhaps it's free but you have to log in. We'll see. All of everything you just said downhill is 100% correct. We're at the infancy of these models and you will look back in 10 years and be like, wow, can you believe when I used to ask chat GPT and this was the response I got. Right. But it will change. All right, I got to stop sharing and reshare just because I'm going to do a different screen for a second. So, so I'm sports. Right. I just I thought this would be fun just to show real fast. Let me just share my full desktop. Okay, and I'm going to go over to a web browser. And let's just see what we've got running here. Let's see. Okay, let me just load this up here real fast. So, what I am doing right now is looking at. Right. So what this is showing me is in the last 30 minutes, there's been 103,000 people on our websites is what this is showing and so that's in the last 30 minutes. This is looking at and I don't know September 17 so the last month 69 million users who are who are on our websites. And this I don't know if this is really going to be helpful what I'm looking at right now. This is just a quick snapshot of like where are people right now. And we can sell know why this is this looks really odd to me but we're going to go with it. Nonetheless, we can begin to see, you know, not only where people are, but this is looking at really since football started. Division one schools we've had 105 million users division to 17 million more on division 319 million. We then can break it down by which conference is getting the most traffic big 10 sec not surprising football big football conferences. We can then look at schools. You can any any sports fans here know why Colorado would be the number one traffic site this year. Go ahead and throw that right in the chat. Why is Colorado got the most traffic. I promise you they did never had the most traffic and any other year there you go for coach prime coach prime coach prime coach prime now everyone's catching up. Yeah, right so this is the coach prime factor. They had 7.7 almost 7.8 million page views since the start of the football season. Next up is Texas then Michigan and Ohio State Florida Penn State Wisconsin all these are clients to sidearm. This data is really useful because on every one of these pages we have ads ads make us money. And also obviously the school just trying to push out their their brand. Right so not only can we see at any moment from an analytic side. What is happening and where is traffic. And again it's it's getting late on a Thursday night and there's very few games going on right now. But if you look at this on a Saturday. It'll be you know 10s of thousands of users on the sites and they're hammering and they're looking at like we can even probably see what they're looking at here. Let's see what content they're looking at. We could go in and say right they're looking at James Madison looking at West Virginia actually I think West Virginia might be playing a football game. You can see West Virginia they're looking at schedule pages they're looking at rosters. They're looking at where she rice raw she rice roster page so we can see what they're doing where they're coming from I can see from where in the world is this traffic. Coming from and you can see most of it from the United States, but you know in the last five minutes we've had traffic from all these countries as well. Right and then we could dive in into the United States and be able to see where in the United States is this traffic coming from so forth and so on so to me this gets pretty exciting and important again I'm going to stop sharing just for a second. I can go back to seeing all of you go to the chat. Alright we're still in coach prime. Cool cool. Alright I'm going to share back to the PowerPoint. So the point of that was just to show from a data side. We are collecting a lot of data. Right on on all these sites on all these users. When people come to a site. Sometimes you know who they are not necessarily by name like I don't know it's Ford or Rahel or any of you folks, but I do know that it's your browser, and I know what else your browser is interested in so I know hey this person's interested in Nike sneakers, or they're interested in a certain brand or a perfume brand or whatever it is and we can push out ads based upon what we know about that that fan right that's the advertising works. The mobile apps. Which we do for most of our schools. This is right mobile app is critical in that it's oftentimes the ticket to a game. Right so while we don't do the ticketing we integrate with ticket master and pack your own where the two biggest ticketing providers and college sports. If the ticket shows up to the stadium, that's their ticket in if our app doesn't work, fans cannot get into the stadium. You don't want it like Saturdays during football, or anything but relaxing for me or anybody on the on the staff. Right because we are responsible for every football fan getting into every stadium. It is stressful if there's a technology issue, you know for you, you don't think much about it you just go into your app and it works and it should work, but there's a lot of stress on the system. I don't know if you've ever been to a stadium where you can also instead of it also being your ticket it can be for concessions, much like if you've gone to Disney, if anyone's been to Disney and you have your magic bands and you can pay for things. You can do any type of thing where you can pay with your phone using the same technology. Right. We can do predictive play on the apps so fans can engage answering questions kind of like a precursor to sports wagering that's out there. So RFID in the NFL right and we all know T Swift right what would a lecture be without Taylor and what would an NFL game be without Taylor being mentioned in the broadcast. Yes, we'll just leave it at that. She is right now. But this is when Travis Kelsey scored the touchdown right and so we could go in sorry I've got to just stop sharing and share one more time as I go back here and share this if I went to NFL next gen stats. Right. And we go in here. So if I go in, let's do stats, or we can even do highlights. And we go in and we say we're looking some of Bill's fan. Right. So we're going to go to Buffalo, and maybe well not this last week as they lost. But maybe we'll go to week four. And here. Right. So here's a play. And you might look at this and say why is this interesting well if I just hit play here. Right. So we're looking at this animation and here's Josh Allen and their step on digs. And there's the touchdown. Right. And buffaloes up 34 to 20. This so this gets really interesting when you think of the technology that's behind this because if I play that again. Right. There is. Oh, this is the next play. Sorry, that's not going to be super exciting. Let's go back in here and let's just search for digs. And we can see every play that we want. Let's do the 50 yard 55 yard touchdown pass. This will be a fun one to see. I'm going to hit play. All right, so back goes Josh Allen. There are RFID tags in every player's shoulder pads. And so essentially what's an RFID tag it's it's just a sensor. By the way this is so much fun to watch isn't it, especially if you're Bill's fan. There's sensors and so what you're looking at is where every player was on the field at that exact moment this isn't just like in precise it's it's completely precise it's it's real time data. That allows you that that generates this it's the same technology if you're watching Thursday night football, which is tonight on on Amazon Prime, right. So really cool stuff when we're talking about sensors and what can be done. And there are now like in the NBA they're beginning to use sensors in the balls sensors on shoes. And so you could almost officiate a game without an official, whether you think that's good bad in different. I'm going to I'm going to go a little faster just try to wrap this up in the next few minutes. Has anybody here put it in the chat if you have tough being a Giants fan Giants suck great. I'm glad I created chaos, but it is true the Giants do suck. Okay, so has anyone ever seen Moneyball. Yes, no throw out the chat. You've watched. Okay, look at this. I love this. Yes. Look at all these yeses. Maybe the same people that have cable because it's from shirts on one of those old cable channels. So, I've read the book. I look at you studious Ryan I like that I have not even read the book, but I have seen the movie several times. Let's talk about Moneyball for a minute. So, Moneyball was was based on the GM of the Oakland days, right, who way back when in the 90s, basically said hey, I don't want to put together a baseball team like they've always been put together. I'm going to stop sharing just for a second just so we can we can talk. I don't want to put the baseball team like we always have. Why is that because baseball teams in the past were put together based on gut gut instinct saying like hey I think this person's really good or they've hit this many home runs. But the reality is what happens is we all have biases, whether we admit it or not right we have biases we look at somebody and we say they're too tall they're too short they're too skinny they're overweight. I don't like the color of their skin I don't like their hair they're wearing glasses they're not wearing glasses, whatever it may be they're from this area of town. We have biases, right we judge people just I judge people you judge people we just do that we judge people. What Moneyball did is said hey let's cut through let's take all that out let's just look at the sport from an analytical standpoint from a statistical standpoint. Let's look at it from a statistical standpoint says, these are what you need to earn runs, these are the players that are going to get you to earn runs. And forget, I mean, Coach Prime says this right he's like, what's this culture thing you're talking about right and I've got some issues with that but what's this culture thing like we're here to win. And so if we do it from a statistical side, what are the components we need to win and they did this and they made it to the world series right with the lowest if not one of the lowest salaries and baseball. Which was unbelievable. That was the start of a trend with the Oakland days. Today, there is not a team in the NFL NBA Major League Baseball. Whoever else I missed soccer and college sports that doesn't have data analysts. It is a full time profession where every team is hiring data analysts, because what they are looking at is, I mean even in Syracuse. What are the practices and games, it's where were you on a court what was the if in football. What was the distance between a safety and a wide receiver, right and and all those dots I showed you with NFL next gen. They can calculate exactly where somebody was and tell them precisely why they missed the play. Right, we can see acceleration speed. So all this data that that you can get. I feel like the Phillies are currently disproving the money ball strategy they show important intangibles and love and the passion of the game matter numbers don't account for all that that's fair jack. That's fair right numbers won't account for everything but I would also argue if we don't use data analytics as part of this. Then you will be at a disadvantage right so I agree it's not everything, but I also wouldn't agree to say you can throw it out. And so what I'm saying you've got to have right, you got to love what you do, and you've got to have passion for what you do, but you do need data to help it be the same thing of, I have a store but I'm not using data to know what products are most successful. Right, you need data, regardless of what industry you're in. Does AI also assist coaches and teams create game strategies. Yes, absolutely it does. I've seen the models. I've seen what coaches use for college sports and professional sports where you can go in, literally get to show me this player every pick and roll that you've ever had that resulted in a three point play from this corner of the court with less than two minutes left in the game I mean you can get so specific, and it'll show you, literally within seconds, every play from an entire season, where you can go through and watch it. I mean, so this is what coaches have at their fingertips. Yes, yes, absolutely. Right, the concept of film is 100% changed. And, and that used to be more videographers people who are great with video who could cut film. Today it's about the data. Right, it's really about someone who can who can get through the data and look at film and from an X's and O's. Absolutely. All right. I'm just seeing if there's, I'm going to just jump what I'm going to pause here is I've taken 47 minutes of your time. Questions, thoughts. Feel free to ask, ask anything. What, let me ask, ask you question. Let's go with a favorite sport, favorite team. So you can, you know, what's your favorite sport. What's your favorite team. By the way, Syracuse is always a good answer. No, let's see, Liverpool and soccer. Love it. Okay. Football in the Rams. I was at SoFi last year watching a game with them Bruins and hockey. Hot and other hockey New York Rangers hockey lot of hockey hockey black box football giants. I'm sorry. I'm serious. We all can't be winners. Don't don't hate me. Don't don't don't hang up on me. I'm not mean, I mean, football bills Lily's right. She's got a winner football Ravens. It's fine. Lamar is good. NHL Montreal, I'm a tennis player, but I like watching football giants fans stick to tennis. I love basketball and wizards hockey, but the Bronx hockey, but Broncos. Okay, Liverpool and soccer Manchester United. Alright, love it. Guys gals. The point is whatever team you love. If you do start looking at the game also from a data side from it from a sports technology side. The like these stadiums today when I tell you like we have cameras. And those cameras can count people like we know where anybody is in a concourse at any time, not necessarily where Ford is right we don't necessarily care where Ford is. But we do care is what are the wait times at concession stands what are the wait times in bathrooms, what are the wait times at certain entrances, how can we disperse crowds. Like we even can get to the point I was I was working with a firm the other day, where they have sensors in the seats that can, they're measuring sound, right noise. And what we're trying to do is say, does a section that creates certain noise increase or decrease ticket sales. I mean just think about what we can do there right so do fans like to attend more in a certain section because it gets really loud, or do we see when we have sections that are really loud. People to people say no I'd want to sit elsewhere. The amount of data we're collecting and things that we're doing are, you would be amazed at the data collection with you just bring your phone and yourself to a game. But Lily I'm going to kick it over back to you. Well, thank you so much for that. So great to have you on. Um, we still have some time with about 10 minutes if anyone has any questions about anything in admissions anything about life it's your accused clubs classes organizations, anything you can think of I'm happy to answer. I have some information if you guys are looking for it for upcoming events other mock classes we have. I can drop that link in the chat now. And yeah, if you have any other questions feel free to ask me or Jeff. And I'll say this. I'd love to have you all come to Syracuse love the place if you can't tell. I got Syracuse stuff behind me. But the, if you come to Syracuse if you come to the high school, I'll be lucky enough to have you in your first class. So the first class you take in the high school is my class. IST 195. And the idea is, yes, there's a lot of references to sports because it's, it's what I do. But every class is a different topic in technology. So every week we're covering some different aspect what could be social media, web development, networking, security, privacy, cloud computing, internet of things, etc. So, team, you're the best. Thank you for participating. Thanks for putting up with my, my humor or lack thereof. Your giants will get better someday. Maybe before you graduate, it'll be okay. I love the look. I love the look. All right, team. Thank you. We appreciate you feel free. If you have any questions, I'll stay on for a few minutes. If not, we are, we are good and you can hop off. Have a great night. Justin, great question. I saw what you asked about a sports analytics major. So we don't have one in the high school. There's a sports analytics major in the Falk school. But they work very closely with the high school and you'll probably take classes between the two schools. Yeah, so we have three different minors. I'm answering your question now. We have three different minors in the high school. One is our information management and technology minor. One is our data analytics minor and the other one is some more entrepreneurial minor that we most recently started. You will be able to take classes and get a minor and any of those as long as it works with your, your new house scheduling. So as long as you're taking your major classes for new house. And you have room to complete a minor, which you should be able to do easily. You will have free reign of high school classes to take to fulfill those minors. Does anyone else have any questions? Thank you crew. Have a great night. Appreciate you jumping on. Have a great night everyone. Thank you. Right, Lily. Bye all.