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- [00:01]
Nick Sprague
When you're getting your pitch, you're hitting.625, which is massive. You're crushing, crushing the ball.
- [00:06]
Jennifer Strong
That's a Scene from the 2011 Columbia Pictures film Moneyball. You probably recognized some of the voices.
- [00:14]
Nick Sprague
Every card that's dealt, your odds completely change.
- [00:18]
Jennifer Strong
One's from comedic actor Jonah Hill and the other from Brad Pitt.
- [00:22]
Connor Walsh
75 points.
- [00:23]
Nick Sprague
He should be throwing 100 pitches before the fifth inning.
- [00:25]
Steve Englehart
Knock that starter out deep into the.
- [00:27]
Jennifer Strong
This movie tells the story of Billy Bean, former general manager of the Oakland Athletics, or better known as baseball's Oakland A's.
- [00:37]
Steve Englehart
Good question. Yes.
- [00:40]
Jennifer Strong
In this scene, they're citing numbers about players like batting and pitching averages and what those numbers say about individual player skills. They're useful for understanding strengths and weaknesses and how to improve them. This is a movie, but what they're talking about actually happened. The Moneyball phenomenon started in the late 90s when Billy Beane inherited a team with financial problems and unruly players. But by the early 2000s, he'd led a run of remarkable baseball, making the Oakland A's West Division champions. The key was in the understanding of those numbers, the data that no team had previously explored. Columns of numbers on how players performed on the field, influencing choices like where to move and how to hit it, set off an immediate shift in sports. The power of data could give you success. It could give you wins. That was more than 20 years ago, and still much of the sports industry is run by data. Player insight informs many decisions, like team strategy, business operations, even scouting and recruitment. It encourages fan engagement and drives strategic marketing tactics. It's led to the growth of a $100 billion sports betting industry. In the days of Billy Beane's Oakland A's, data analytics was largely driven by statistics. These days, we have different tools like wearable devices and advanced video analytics that are delivering sharper insights. Now, at unprecedented levels of access, we can monitor player health and performance and use that to prevent, predict and prepare. I'm Jennifer Strong. I've been covering technology for more than 20 years. In this episode, I want to explore how the latest iterations of sports tech are fortifying player performance. If data is power, just how powerful can it be? How do these applications work? And what do they say about the future of sports? Is there a risk to so much data? And finally, what does all of this say about the future of our relationship with technology? Welcome to the next innovation. About four years ago, Steve Englehart was looking for a wearable device that could track velocity and weight training for his players. He's the director for strength and conditioning at the University of Colorado. Many of his basketball players have gone on to be drafted by the NBA. Steve did his research. He wanted a device that measured most everything possible, but also provided data in one centralized location, something easy for the coach to use.
- [03:36]
Steve Englehart
I was, you know, just googling, researching and I found a company from Ireland called Output Sports. I then met him in, in Las Vegas, talked to him briefly, him and Adam, Adam Byrne and Dr. Martin O'Reilly and Adam. And next thing I know I tested it and we really liked what we saw. We can do everything from mobility testing to obviously dbt to counter movement jumps to squat jumps to flexibility, you name it. You can do it with Output when you have the platform that goes straight to your computer from the iPad in real time and the leaderboard out there for the players to actually push themselves and see where they need to be.
- [04:21]
Jennifer Strong
Output Sports is a wearable tech startup that focuses on strength, power and movement. Part of their mission is to provide holistic, sharp data to trainers and athletes through a single device, which is what Steve was looking for. How do I understand what my players need to get stronger, to get better? How do I know if they're making progress in their day to day training? And can I get feedback like numbers in real time?
- [04:46]
Steve Englehart
It tracks what we want to track, right? If we're trying to gain strength, I know I'm not getting lucky anymore. I'm getting right. I have the sensor on the bar. We're doing back squats. Whenever they do their rep, it comes back with a number, right? And for our strength phase, we're looking at max strength between.0.5 meters per second or below, right? And that's, that's when I know we're in the right phase. If there is smoke in the weight at zero point like 75, they're going to be in submax strength or even strength speed. So we don't want that for that particular phase. It helps us get lucky. So now when we have the leaderboard up and I'm like, hey, you see Your number above 0.75, I need to, we need to add some more weight. And when we do that, Output Sports auto regulates their new maxes with the speed of the bar and the weight. So now you don't have to do a 1 RM every 4 weeks or every 5 weeks or depending on when, when a coach wants to do it, it auto regulates it for you. And that helps me and my staff out of saying, hey, these players are actually getting stronger. So we have really good quantitative data saying hey, we're getting guys stronger.
- [05:51]
Jennifer Strong
All of this quantitative data is produced by a matchbox sized nugget that can be attached to almost any part of your body. If you're lifting weights, you place it on the bar. If you're testing movement speed like running or sprinting, you place it on the ankle. You can also stick it to your lower back for balance assessment.
- [06:08]
Steve Englehart
We used about two weeks ago for my son, he's going to go play D1 lacrosse at Hobart College in New York. And he's like, hey dad, let's test my 20 yard dash. And I was like, hey, let's put this on your foot real quick. Let's see the ground contact speeds of, of where you're at, right, to see if we can increase that. So it's a lot when you get this. So you're looking at certain numbers that you want to get better. If it's sprints, if it's jumps, it's if it's back, squat, bench press, power clean, hang, clean, pull ups. I mean you can, you can track it. Mobility, flexibility, you can track it. Med ball throws, you can track it.
- [06:41]
Jennifer Strong
When Steve met the co founders of Output Sports in Las Vegas, he was excited about what they could offer. Particularly how their backgrounds shaped the products and their understanding of professional sports training.
- [06:52]
Martin O'Reilly
So my co founders, one of them was actually a sports practitioner and a physiotherapist. The other was like deeply technical, coming from a theoretical physics background. And my background was somewhere in the middle in terms of biomechanics and sports science. So all of those different types of expertise were key to build something novel for the sports industry. And working together and building a team around us was essential too. But then another thing that was really important to help us grow to where we are was constant engagement with the end users. So for us that's strength coaches, personal trainers and physiotherapists.
- [07:26]
Jennifer Strong
CEO Martin O'Reilly Co founded the company five years ago. He says talking to people who use their product helps them improve it. Kind of like a feedback loop.
- [07:35]
Martin O'Reilly
So we interviewed them, just about what their frustrations were in getting athletic data, analyzing it, making sense of their key decisions on their athletes performance. And what we saw initially was that the big frustration was in how disjointed and cumbersome all the processes were. So that was a really, really encouraging thing for us. We were like, well we can build something that's unified, efficient, practical, portable. So that was kind of the initial kind of really encouraging thing. But then when we actually started to put prototypes in their hands, it came down to, you know, this measurement could be this bit faster or this bit more practical, or need this to work at scale. Like, you know, coming from Ireland, there were gyms, were elite sports teams with five squat racks. And then we went to the US and there was schooled with 60. So we had to make sure that the actual scalability of using the system in the gym meted our end users expectations in terms of flow and practicality and efficiency. So really the best way to do that was by actually building, testing and then getting new solutions out there. But it broadly came back to the simplicity and the speed that we could deliver insight to the coaches.
- [08:39]
Jennifer Strong
Output's wearable is part of a larger trend within the tech industry that tracks and analyzes health markers. They're pretty much ubiquitous at this point. Small wireless mobile devices that attach to the body like a smartwatch or fitness tracker. It could be your aura ring or your Fitbit. They operate by tiny physiological and environmental sensors that track movement and then analyze that data. In the consumer market, these trends really kicked off because they monitor heart rate and sleeping patterns. Nearly a third of the US population is using some form of generic fitness tracker. But in the professional world of sports, they can offer unprecedented levels of judgment, usually by nature of its complex advanced engineering.
- [09:22]
Martin O'Reilly
So I think there's kind of two key components to the measurement side of output. So one is in terms of measuring and capturing athletic qualities that help you understand an athlete's needs for their training. So the output center is like a little matchbox sensor that pairs up to a mobile phone or tablet. And then you do things like jump on the spot or lift weights to capture key metrics about your athleticism. So our system enables over 240 of these measurements. And let's say if you're a golfer, we'll look at things like your rotational power, your flexibility, your jump height, your trolling velocity, because of all of these things will actually relate to your clawed speed in golf. And then we'll see where your needs are and then be able to focus your training in that area in terms of velocity based training. And the easiest way to think of that is quantified weight training. So you know, you're probably well familiar now at this point with people tracking their running or cycling with wearables in terms of distance and heart rate metrics. That's kind of like what we're doing in the gym with velocity based training. So instead of just looking at sets, reps and weights, which is the Old school way of tracking weight training. We're actually putting a sensor on the bar and velocity is helping dictate if someone is fresh and recovered and they should up the weight or whether they're actually fatigued on a given day and should reduce the weights and the sets and reps they're doing. And aside from that, we're quantifying force, power, impulse, the depth of every repetition, and basically bringing data to an area that's previously been very pen and paper based or very subjective. All that data helps you understand the athlete, but also really importantly, from our perspective, motivate them to do the both best session and to compete with their peers in the weight room as well.
- [11:07]
Connor Walsh
It's been amazing to see the last 10 years of, you know, how the wearable technology industry has developed and evolved. And I'd say there's just been fantastic progress made at the macro level. So thinking about kind of full cardiovascular monitoring. So we have devices that we wear on our, on our fingers or on our wrists that can kind of monitor our heart rates and various aspects of that and give us some idea of how we're performing, how we're recovering, you know, our effort as well. And then, you know, we've also seen kind of this proliferation of devices that can track movement and that could be GPS sensors that track us when we run or walk or kind of go throughout our day, or inertial measurement units. So kind of the accelerometer, gyro kind of type sensors that you'd find in an iPhone that you know, can understand what you pose your phone is in. But people have been putting those into wearable form factors as well to try and understand and see how people are moving. Such as athletes kind of like playing sports and tracking their movement and understanding where they're moving well or where they could kind of optimize their performance.
- [12:10]
Jennifer Strong
Connor Walsh is an engineer and a Harvard professor. He's from Ireland, but as a PhD student in the US he became fascinated by human health. So he started building medical devices that studied body movement and general well being. Now he runs a lab and a research group at Harvard that works on new projects like smart wearable devices.
- [12:31]
Connor Walsh
What we do is we try and take something that looks promising on the research side and we try and kind of create an advanced prototype and then we try and test that with end users in a real world setting. And so to create these advanced prototypes, we have staff engineers who would have technical or product development experience and who could kind of help build these prototypes that we can actually put on people collect data and test. And so we work with a range of populations from stroke survivors, people with Parkinson's athletes, people who do strength training. And so for all of this work, we really kind of. We call it like human in the loop development, where we might have an idea of something that we want to try and measure or assist with. And then we build prototypes of those technologies and we put them on people as quickly as possible, even when they're still a roof prototype. And then we collect some data and we understand how well the technology is working. And then we use that data to kind of improve the technology and refine it and kind of go through this kind of iterative process. So we've worked on a range of devices that help restore mobility for people with disability, or we've developed devices that would help monitor form or kind of propulsion or braking for people who are runners. And then we've also done some work in the area of strength training. So how do you actually kind of understand what exercises a person is doing? How do you quantify the performance of those exercises? And so all of this is using a combination of some type of wearable sensing, machine learning, and a very iterative kind of development process, kind of like working with end users as well.
- [14:02]
Jennifer Strong
Connor's work is broadly at the forefront of wearable technology. A lot of it is still in the research and development stage, going through trials of testing. But he understands the power of data and how many iterations of wearables can change how we understand our health.
- [14:17]
Connor Walsh
So I'm an engineer and usually kind of like more data is better than less data. So I think with wearables like, you know, quantifying performance or quantifying movement, both for the elite athletes and for kind of everyday people kind of, I think is a. Has great potential. And I think that, you know, with that we can better, you know, know, track and understand, you know, how our running performance is changing or our health is changing or wellness is changing kind of over time. And I think what's exciting is that whether it's explicitly kind of like as part of these technologies or just, you know, implicitly and people are adapting their behavior and their lifestyles oftentimes in good ways and, you know, based on the data that they're getting. So maybe people are trying to sleep better or recover better, or they know when they should try and push themselves more. And I think kind of that quantitative, data driven approach to kind of training or just kind of fitness, I think is a really, really kind of good thing.
- [15:10]
Jennifer Strong
Still, I wonder about the different types of data collection and how they're different. What we're seeing with companies like Output Sports is not unlike the common culture of gadgets we already attach to our bodies. They're small, unburdensome, and quite convenient. But recent trends in biotech leverage even more detailed health data for deeper awareness of things like chronic issues. Some experts believe that in 10 years, everyday wearables will analyze urine, blood and sweat samples to recognize levels of stress or dehydration. They'll be able to predict a cold nearly three days ahead of time. And in some cases, some elite athletes are undergoing genetic engineering and stem cell therapy to improve performance. Zach Schonbrunn is a friend and colleague. For over a decade, he's been knee deep in sports technology, covering wearables and much more for places like the New York Times and the Atlantic. I recently met up with him at a soccer field on New York harbor to catch up on the latest innovations in the market and how they're shaping the sports industry. Many of us know how to drive a car, but may not know much about how the engine works. Right. I feel like we're getting to a similar space with wearables, too. They're just sort of ubiquitously everywhere. Maybe you could give a better understanding overall what kinds of things we're starting to track with these devices.
- [16:30]
Zach Schonbrunn
There are sensors that are being put into everything from the fields to the pitcher's mounts to basketball sneakers, to what the players are wearing themselves. It's almost to the point where anything that's conceivable to be tracked and quantified is there now. I remember doing a story a few years ago on LSU football's sports science program. They had players swallowing pills that measured their internal body temperature during practices. And, you know, in the heat of Louisiana in the summertime during training camp, it's important to know, you know, how a player's, how a player's temperature is responding to these practices. Is that a little invasive? Yeah, a little bit. And this was eight or nine years ago now. So, you know, I wrote a story recently, last year for the Atlantic magazine about the effort to quantify the sense of touch in baseball pitchers. This is again, one of those things where a few years ago you thought it might be, you know, inconceivable. Measuring finger forces on a. On a ball that's being thrown 100 miles an hour. But the technology is starting to develop where that is a. It is now conceivable and teams are trying to address it. And there's a few There was a startup that is trying to put sensors in the balls themselves. There's another startup trying to develop a kind of a wearable for the fingertips. And then another company that was developing kind of a grip analyzer for pitchers. But the appetite is there to understand all these different aspects of movement, of skill and performance at this levels of minutiae that are kind of hard to imagine.
- [18:32]
Jennifer Strong
Yeah, I think if you've been in a stadium lately, you know, there are cameras absolutely everywhere. But can you help us connect the dots? Like, what are the cameras being used for? Like, what kind of information can you learn about an athlete from a camera?
- [18:44]
Zach Schonbrunn
Yeah, so what's being used today is called motion capture. It's wireless motion capture primarily. You know, I spoke to a Major League baseball pitching coach not too long ago trying to kind of ask the same question about what they're using it for. And he gave me one example. And it's kind of a specific example, but I think it's fairly emblematic of what's being collected today. So he was talking about that teams like to look at a pitcher's stride length, where their feet land on each pitch, and they use these cameras to measure them, to view the mechanics of a pitcher and to measure where the feet lands on each pitch. And ideally that should be a consistent landing spot. But what they found is that over time, as a pitcher is dealing with different situations or perhaps fatigue, the feet can land in different spots at different times, they can measure these landing spots and then use that information to gauge is he fatigued, is he dealing with a stressful situation, how is it impacting his performance? And they can use that information to help them avert their risk of injury. You know, that's just one example of how these cameras are used. But I think it does kind of illustrate just what sort of data is being collected. And you know, they can do similar things with athletes that are in the field, running the bases, throwing, hitting. And so, you know, you know, the cameras are collecting all this information all the time.
- [20:27]
Jennifer Strong
Motion capture technology is a breakthrough in sports performance. It's different from wearables because it relies on multiple camera angles to collect and decipher movement, creating trends and predictions for players, such as if you position your arms at this angle, you'll have a greater chance of hitting a three point shot, or if you keep rebounding on your knee like that, you, you're going to get injured. This is actionable data.
- [20:50]
Nick Sprague
We can detect when do athletes start to move in ways that are inconsistent, that has a whole range of utility for a team, number one, for injury prevention, but number two, for understanding what are the specific moves that that athlete is going to be forced by himself or herself over and over again to execute during a game, and therefore, what should we be doing specifically for training for that athlete? Right. And then on the flip side, if the athlete gets injured, what movements were problematic for the athlete that led to injury that we will now need to ensure the athlete can conduct that movement to avoid sort of the biggest risk of injury, which is re injury? Right. What movements do we need to do to build into that athlete's sort of return to play protocol in order to ensure that they don't go down the path of re injury and sort of inoculate them from those specific movements?
- [21:51]
Jennifer Strong
Perhaps one of the most popular companies employing motion capture analysis is Orko, an Irish startup that's worked with the English Premier League, the NBA, NHL, Major League Soccer, several Olympic athletes, and more. Nick Sprague has worked with Orco for seven years and considers himself a longtime champion of the company. He mostly focuses on expanding business relationships, but it was his longtime love of sports that drew him into the company.
- [22:18]
Nick Sprague
So in the case of the players, you're looking at what we would call musculoskeletal data, which is basically everything that the player are doing, every way that the player is moving. You know, in some of the advanced Systems, you're getting 60 movements per second per player, head, shoulders, knees and toes. And imagine the, these cameras in some cases are like the size of an iPhone, and they're placed, say between 17 and 34 cameras all around the stadium or the arena. And they're providing you with basically a 360 degree sort of 3D view of everything that is taking place on the court or on the field. You know, every athlete, every movement, everything that's taking place 360 degrees throughout the course of the match or the training session. And that data is then translated through an API into numerical code. So you actually have a numerical expression of everything that's taking place in the audio visual feed. It's billions of rows of numbers, this extraordinary amount of data, but it's coming from a relatively simple piece of fixed infrastructure that's already built into the arenas. So Orica will take that data, translate that into individual movement signatures of athletes, and then deliver that service through a software platform.
- [23:48]
Jennifer Strong
The evolution of motion capture analysis now goes way beyond just player health. Some companies are using the tech to develop new sporting equipment like shoes or even shirts that help player movement. With all of this Data being collected and analyzed. I have to wonder, could too much data be dangerous?
- [24:08]
Zach Schonbrunn
You know, I guess it depends on what it's used for. You know, I think for the general public, you know, having these wearables that we can now buy that monitor our health, I mean, it's probably healthy for us. You know, it's probably good overall to have a baseline of how your body is shaping up when you're exercising. And maybe it lends to some health paranoia. That might not be so healthy for our mental health. But, you know, I think that's certainly one, I guess, downside to it, you know, for the professionals or even for kids, you know, in youth sports, you know, the issue or I guess the one concern maybe would be that data begins to crowd out experience and, you know, intuition and wisdom in sports. I think in professionalism, this was kind.
- [25:01]
Jennifer Strong
Of the argument in the Moneyball phenomenon. Can all of this data drown out the human intuition that's led to so many sports successes? Probably not. But perhaps the bigger question is, can all of this data then become counterproductive? A recent study found that users who had some form of wearable demonstrated higher levels of anxiety and dependency when tracking sleep patterns, heart rate, and exercise. And for endurance athletes, so much information could lead to overtraining, muscle overuse, and perfectionism.
- [25:34]
Connor Walsh
People should know that these are tools that can be used when you feel they're helpful, but it doesn't mean that people necessarily have to use them to all the time. I don't think people should exercise to get data. Like, I don't think that's kind of like a good reason to exercise. Like, ideally you're exercising because you enjoy it, or you want to get fitter, or you have kind of a personal goal that you want to achieve. Like that's the reason to kind of exercise. I think, you know, as. As long as people are using these wearable technologies as a tool to give them additional information that they feel is helpful and towards those goals, then I think it's a good thing. I do think that there's a need for companies or developers of these technologies to really try and understand early on what do people care about and what should people care about that can be beneficial for them and be able to filter in all the big, vast data into key kind of simple metrics that people can understand easily. And I think there's a risk that people become over obsessed, kind of like with the data.
- [26:37]
Jennifer Strong
Like most things, an ounce of caution is probably wise, especially for sports enthusiasts or those just wanting to exercise, seeing as These technologies can analyze almost everything. Sometimes it's important to just ask the question, do I really need this? But if there's one thing that most wearables have yet to monitor, it's mental health. Perhaps one of the most important pillars in professional sports, how you feel and how you're thinking is just as crucial as what you're eating and how you're moving. And if you can tap into the power of data for psychological health, you'll have a full rendering of just how ready your player is. Both OUTPUT and Orko measure some form of mental readiness. OUTPUT distributes a questionnaire for players at the start of each training. And Steve Englehart walked us through the process.
- [27:25]
Steve Englehart
So a normal day looks like they come in and there's a wellness questionnaire for. For output sports. It. It asks sleep, how do you feel today? Cognitive, mental stress. Are you ready to train one out of five. Psychological health, which is our mental health, how do you feel today? One out of five, right? This gives me feedback. If he says he's a one, I can actually get some help for that young man or woman, physical health, one through five. He's like, man, I'm a two. What happened? What's wrong? He can put in his notes, I sprained my ankle yesterday playing ball in Denver somewhere or back home. So they can feel this at our home too. And then sleep quality. That allows me to know, like, hey, if you put to one, what happened last night, like, oh, I was studying, Coach, I want to make an A on this test, and it flags us to let us know how to help these young men and women out.
- [28:13]
Jennifer Strong
ORCO considers mental health monitoring a core part of their service. They use biomarker assessments from blood results measuring oxidative stress. Higher levels of oxidative stress indicate that there's more neural dysfunction, which could lead to things like depression or anxiety.
- [28:30]
Nick Sprague
And that's looking at the balance between how much pressure is on the athlete's system at that time and what are the levels of antioxidant defenses that the athlete has to sort of counteract that stress or that pressure. That stress, a lot of times is psychological. And we see that anxiety, stress, mental health decline significantly impacts athletes and gives us a actual physiological result that we can measure objectively in order to say, okay, this athlete really is under significantly more stress than he or she otherwise ordinarily is, and we need to look at them more closely, intervene more closely.
- [29:17]
Jennifer Strong
More research is needed. Measuring sleep patterns and heart variability really only scratch the surface of psychological health, and one can't really go without the other. Both psychological and physical health can simultaneously empower and weaken the other. But as more applied research combines these two areas of health, both with wearables and motion capture, the future of sports technology could be leading the course for understanding virtually every aspect of our health.
- [29:47]
Connor Walsh
I think one thing that's really interesting with wearable technologies is being able to have individualized your own data over a long period of time. So a lot of times when we're trying to assess our performance, we're trying to look at something in the moment. But I think what's really important is being able to look at how things are changing over time. And I think that's one of the things that I observed with this field of wearable technology, where if you're kind of training for many years, you'll be able to kind of see how your performance is evolving. You'll be able to see what types of targets you should be able to achieve based on what you've done in the past. And then if something goes wrong, so if you get injured or if you have a health issue, then I think you'll be able to see that, hey, some of this data is looking quite different than it has in the past, and I think that's something that we haven't had the ability to do. And even in healthcare and in medicine, everything is always kind of like very much like an acute intervention where they're looking at an individual in a moment, and that's really all kind of. They get. They just get a single snapshot. But being able to see kind of like, you know, how an individual's own metrics have kind of evolved, whether that's cardiovascular or movement or something else over time, I think that's just like, really powerful way to kind of get insights into a personal kind of health, wellness and fitness. And speaking personally, over the last year, I've had kind of some health issues, but having a wearable and seeing kind of changes in that data allowed me to kind of know that something probably was not right. And it allowed me to kind of go and kind of seek care and kind of intervene on that. And I probably wouldn't have been able to do that or do that as quickly without kind of like wearing these types of devices. So I think personalized wellness, personalized health, personalized fitness, I think is really enabled by having kind of these devices rather than, you know, having these general approaches of how we should treat a person or how we should coach a person. I think kind of data allows you to make things more personalized, which I think makes things better.
- [31:51]
Jennifer Strong
People have been talking about personalization and what it's going to mean for how we live and work for many years now. But we are just beginning to enter the hyper personalized era where what's personalized can truly be made personal. And what might that mean for sports? Elsewhere we've seen it act as kind of a double edged sword. On the one hand, it can give us tailored experiences and productivity superpowers. On the other, it can reinforce bias, invade people's privacy and limit user choice. So how do we get to the good stuff without the rest becoming a cost of doing business? New iterations of biomechanics and biometrics will soon change not just how we understand our bodies but but also how we interact with our environment and with each other. This is really only the beginning.
- [32:38]
Martin O'Reilly
So I see each key fitness pillar like aerobic endurance, nutrition, strength, power, movement, all being things that will be common practice to measure and to take personalized insights on to guide your either optimal injury prevention or progression as an athlete.
- [32:57]
Nick Sprague
Imagine being able to deliver a personalized insight to an amateur athlete based on cell phone data that's being captured.
- [33:06]
Jennifer Strong
Right?
- [33:07]
Nick Sprague
That's where it's going. And I think it's really exciting for the teams and practitioners within teams that, you know, there's going to be a time it's already here, but in the not too distant future where that kind of thing is going to be available to them and they're going to be able to deliver truly personalized recommendations to each of their athletes. You know, at the professional level, but all the way down to the amateur level.
- [33:38]
Jennifer Strong
Thanks for listening to the Next Innovation. This series was produced by Situation Room Studios and powered by Enterprise Ireland. Investing in the next wave of innovation. Our executive producer is Christine Barata and our senior producer is Sharon Barrero. Diana Barnes, Emily Beeman and Leila Shirowi are the associate producers. Additional production assistance by Global Situation Room A special thanks to Steve Englehart, Jack Schonbrunn and Connor Walsh. I'm your host Jennifer Strong. Until next time.