Speaker 1: Worldwide sporting events like the FIFA World Cup and the
Speaker 1: Olympic and Paralympic Games have been some of the world's
Speaker 1: most unifying events for more than a century, during the
Speaker 1: attention of spectators and enthusiasts from around the globe to
Speaker 1: watch the greatest athletes of our time compete for a
Speaker 1: place in history. The Olympic and Paralympic Games Paris twenty
Speaker 1: twenty four will be different from all the rest thanks
Speaker 1: to new technology that will help make it the smartest
Speaker 1: Olympic Games yet. How can Intel AI platforms and advanced
Speaker 1: data analytics revolutionize the experience of the Olympic and Paralympic
Speaker 1: Games in the stadium and at home. Join us as
Speaker 1: we learn more about what happens when the world's most
Speaker 1: innovative minds join forces with the world's greatest athletes in
Speaker 1: the quest for gold. Welcome to Technically Speaking, an Intel
Speaker 1: podcast produced by Media's Ruby Studio in partnership with Intel.
Speaker 1: In every episode, we explore how AI innovations are changing
Speaker 1: the world and revolutionizing the way we live. Hey, there,
Speaker 1: I'm grame class. Today. In our final episode of season two,
Speaker 1: we are exploring the role AI platform technology will play
Speaker 1: in the upcoming Olympic and Paralympic Games Paris twenty twenty four,
Speaker 1: both for the athletes and for the fans. To discuss
Speaker 1: the topic further, we're joined by Alario Korne, the Chief
Speaker 1: Information Technology Officer at the International Olympic Committee for the IOC.
Speaker 1: Alaria has served in his current role since twenty twenty,
Speaker 1: and he's tasked with leading all IT strategy and operations
Speaker 1: for the IOC and ensuring the delivery of cutting edge
Speaker 1: technology solutions for the Olympic Games.
Speaker 2: Welcome Malario, Thank you very much, Graham, great to be here.
Speaker 1: We're also joined by Sarah Vickers, head of Intel's Olympic
Speaker 1: and Paralympic Games program. Sarah joined Intel in twenty fifteen
Speaker 1: and has been working on Intel's partnership with the IOC
Speaker 1: since twenty seventeen. Welcome to you too, Sarah.
Speaker 3: It's great to be here.
Speaker 1: I want to start and go back to Tokyo twenty twenty,
Speaker 1: where a lot of us would remember the one thy
Speaker 1: eight hundred Intel Premium drones during the opening ceremony before
Speaker 1: we discuss what to expect in this year's Olympic and
Speaker 1: Paralympic Games. What's the one technological innovation that sticks out
Speaker 1: for you over the past few editions of the Olympic Games.
Speaker 2: I will say, for me, it is exactly what you say.
Speaker 2: The drones. I still remember this day. I was actually
Speaker 2: on the field of play in the Olympic stadiums and
Speaker 2: seeing them come up with something amazing. Even though during
Speaker 2: the Olympic Games we always have seen technology innovations and
Speaker 2: really things new and everybody saw before the last innovation
Speaker 2: that we had seen in Japan was actually the satellites
Speaker 2: and to use broadcasting live feeds. So innovation has been
Speaker 2: always at the core of the Olympic Games, and anything new,
Speaker 2: I will say is wait and see and you will
Speaker 2: be odd for what you will see.
Speaker 1: Sarah, I have got you any lasting memories from previous
Speaker 1: Olympic and Paralympic Games.
Speaker 3: I think what I'd say is we're really proud of
Speaker 3: our progress over time, especially when it comes to artificial
Speaker 3: intelligent platforms. When we started in twenty seventeen, we really
Speaker 3: were just demonstrating what was possible, and now we are
Speaker 3: delivering solutions and we've been doing that through helping demonstrate data.
Speaker 3: We did a big thing with artificial intelligent platforms in
Speaker 3: the Olympic Winter Games Beijing twenty twenty two. So, like
Speaker 3: Lario said, I think the ceremonies are a closely kept secret,
Speaker 3: but I'm really excited to see what's going to happen
Speaker 3: on July twenty six.
Speaker 1: And Intel has been a global partner for the Olympic
Speaker 1: and Paralympic Games since Pyeongchang twenty eighteen, making this summer's
Speaker 1: edition in Paris to full time. The company has played
Speaker 1: a role in this biggest event in sport. Why is
Speaker 1: this partnership so important to Intel?
Speaker 3: I think there's a number of reasons, But like you said,
Speaker 3: the Olympic and Paralympic Games, they're massive and they're incredibly
Speaker 3: complex to deliver. So I think why we love it
Speaker 3: is that we're able to demonstrate what we're capable of
Speaker 3: on a really global and massive scale. And we've been
Speaker 3: able to do that through incredible partnerships with people like
Speaker 3: Allario who really help us demonstrate all the different areas
Speaker 3: where we can have impact, whether that be using AI
Speaker 3: platforms through five G and the power of our processing
Speaker 3: and compute. There's so many different aspects where these solutions
Speaker 3: play a role broadcast the incredibly complex operations of delivering
Speaker 3: an event at of scale this size and enhancing the
Speaker 3: fan experience. We have the opportunity to deliver this at
Speaker 3: the Olympic Games, and then we have the opportunity to
Speaker 3: go scale that then these solutions in other areas.
Speaker 1: And you mentioned the magic word AI, and I'm really
Speaker 1: interested in how AI is going to be a factor
Speaker 1: in the Olympic and Paralympic Games. In April, the IOC
Speaker 1: unveiled its plans for using AI during Paris twenty twenty four,
Speaker 1: and the IOC officials said that the AI will help
Speaker 1: identify promising athletes, personalized training methods, and make the Olympic
Speaker 1: and Paralympic Games fairer by improving judging, amongst a lot
Speaker 1: of things. Alario, just how much of a role will
Speaker 1: AI play in the Olympics compared to previous editions, and again,
Speaker 1: which ones are you most excited about?
Speaker 2: This is a fantastic question. So we were asked by
Speaker 2: our president Thomas Bach to come up with what was
Speaker 2: the impact of AI forty Olympic movement FORTIOC forty Olympic Games,
Speaker 2: and it became very clear, very quickly that it was
Speaker 2: a very large tusk and we needed to kind of
Speaker 2: gather opinions and other inputs from other people. We have
Speaker 2: done a fantastic work in Senegal with Intel trying to
Speaker 2: understand the impact of athletes identifications and how they can
Speaker 2: be found in remote locations and remote locations does not
Speaker 2: just imply being in Senegal or any other countries. And
Speaker 2: we tested over a thousand promising athletes and we found
Speaker 2: forty there were top athletes and regarding for these Olympic Games,
Speaker 2: what we worked on with Intel is digital twinning and
Speaker 2: digital twining really help the organizations and the IOC understand
Speaker 2: better how we can plan better given from an a
Speaker 2: venue out the flow of people would be done from
Speaker 2: a broadcasting standpoint, which are the best camera angles to
Speaker 2: use everything, and really this revolutionizes how a large sporting
Speaker 2: event can be done without traveling, without meeting on personal
Speaker 2: and doing all these virtually. The other one that we
Speaker 2: are working as well there it is cyber abuse is
Speaker 2: a very big topic for US safe sports and it
Speaker 2: is a very very interesting as well. And there is
Speaker 2: a area of outer use cases that you will see
Speaker 2: and many of them we have done in partnership with
Speaker 2: Intel and through all of their solutions.
Speaker 1: And So what excites you about these AI innovations, in
Speaker 1: particular the way Intel providing their support.
Speaker 3: I think there's so many and we're just seeing things
Speaker 3: move so fast and there's so many different applications. One
Speaker 3: of the examples I really love is the work we're
Speaker 3: doing to use Intel's AI platforms to create AI generated highlights.
Speaker 3: So we're working with Olympic broadcasting services to create highlights
Speaker 3: that otherwise just wouldn't have been possible. It's enhancing the
Speaker 3: broadcast experience. So it's not just an efficiency opportunity, it's
Speaker 3: opportunity to create new opportunities for that fan at home
Speaker 3: to really experience the Olympic Games.
Speaker 1: So would an example be, you know, you might be
Speaker 1: interested in volleyball and you're just interested in the particular
Speaker 1: highlights from the French team. You know, potentially that's how
Speaker 1: an AI could.
Speaker 3: Be used exactly. Or you really like archery and typically
Speaker 3: that wouldn't be the focus where the broadcasters could spend
Speaker 3: their time, but now it's much easier to create that,
Speaker 3: so you can really see all the best shots, so
Speaker 3: to speak.
Speaker 1: Yeah, and I just want to turn a little bit
Speaker 1: now to the athletes experience and how the AI movement
Speaker 1: affects the way that they train and compete. There was
Speaker 1: a quote from the US Olympic gold medalist skier lindzy
Speaker 1: Vonn said recently that AI won't replace athletes or coaches,
Speaker 1: but it'll supercharge analytical methods for athletes and can be
Speaker 1: used as a positive way to perform better. Alari, can
Speaker 1: you give us an example of how AI is currently
Speaker 1: being used by athletes?
Speaker 2: Definitely, and a great example could be the use of
Speaker 2: AI in biomechanics and athletes in discipline such a gymnastic
Speaker 2: and diving and using a to analyze their movements. This
Speaker 2: is opening today and it is really impressive what it
Speaker 2: can be done. And actually one other one that we
Speaker 2: are starting to work on it is how AI can
Speaker 2: actually predict injuries for an athlete, and there is actually
Speaker 2: methodologies that actually you can understand that an athlete is
Speaker 2: going to get an injury on the scaf or wherever
Speaker 2: it will be. So thesis really does not an anst
Speaker 2: their ability to perform, but actually makes themselves safer and
Speaker 2: actually prolong their careers, which will be great.
Speaker 1: And so what have you seen in terms of the
Speaker 1: feedback or the attitude towards AI from coaches and athletes.
Speaker 3: Athletes and coaches love data, and they love actionable data,
Speaker 3: and if they can get data in real time to
Speaker 3: help them change and adjust, they love that. So I
Speaker 3: think there's a lot of open mind as to it
Speaker 3: and excitement around it to really use this technology to
Speaker 3: help them and figure out what's that one thing that
Speaker 3: can help them get ahead.
Speaker 1: Is it an example you could give that could solidify
Speaker 1: in our listeners' minds about a practical story around using
Speaker 1: AI that could just basically help us paint a picture
Speaker 1: of what actually they'd be using.
Speaker 3: There's lots of different examples, but if you think about training,
Speaker 3: it's a lot of repetitive tasks, and if you can
Speaker 3: use computer vision using AI platforms, you can start to analyze,
Speaker 3: like Alario mentioned before, using biomechanical information, and you can
Speaker 3: understand how that movement is changing over time or adjusting
Speaker 3: over time. So it enables the athletes to make tweaks.
Speaker 3: And we've seen this through throwing, through speed skating, and
Speaker 3: other sports where athletes have been able to use that data,
Speaker 3: understand what they're doing different and make tweaks. The other
Speaker 3: really interesting thing about what this can do is it
Speaker 3: can help identify things that you weren't really thinking about
Speaker 3: before because the algorithms are learning and pulling out new
Speaker 3: information and can really say, you know, it's not a
Speaker 3: that's really impacting the distance of the throw as an example,
Speaker 3: it's really B and sometimes with the naked eye that
Speaker 3: hasn't been possible. But through AI platforms, this is starting
Speaker 3: to be something we're seeing that's quite interesting.
Speaker 1: And if you could just sort of maybe describe a
Speaker 1: little bit about the technology that's used to help identify
Speaker 1: some of the Olympic hopefuls so that they can actually
Speaker 1: make it and help them make it to the big stage.
Speaker 3: Sure, we have developed this technology through something called three
Speaker 3: D Athlete Tracking or three DOT. This enables computer vision
Speaker 3: data to be captured using AI platforms and it takes
Speaker 3: that real time data and provides three D sports biomechanics reporting.
Speaker 3: We use a variety of our Intel AI platform stack
Speaker 3: to enable this, including hardware and software solutions. So we're
Speaker 3: using Intel Xeon and Core processors. They're using open Vino,
Speaker 3: which is our open source technology to help do that.
Speaker 3: All being driven for efficiency using Intel Goudy AI accelerators.
Speaker 3: So it's really demonstrating all the goodness that Intel can
Speaker 3: help through every step of an AI solution.
Speaker 1: And Lario, have you heard of any specific examples of
Speaker 1: where the athletes are really excited about this in terms
Speaker 1: of for their training and competition.
Speaker 2: They are definitely excited. If our listener want to go
Speaker 2: on YouTube and we look at the Olympic Agenda launch,
Speaker 2: you can actually see some of the athletes that were
Speaker 2: part of our Olympic AI working group and James Ayckel
Speaker 2: and Alistair Brownby make real examples of how they've been
Speaker 2: using it and learning from it, which has been fantastic.
Speaker 2: A truly belief that what we have done it is
Speaker 2: a great things that actually can transform to world of sports.
Speaker 2: And if you think about our motto, which is make
Speaker 2: the world better true sports, we will be really embodying
Speaker 2: this with Intel as our partner as well.
Speaker 1: And Sarah, I'd like your thoughts around the use of
Speaker 1: Intel technology and AI technology in general. You know, my
Speaker 1: belief is that these sorts of technologies will become cheaper
Speaker 1: and more widespread for larger numbers of nations. I would
Speaker 1: like your thoughts on that trend.
Speaker 3: You're absolutely right. I think this technology enable to access
Speaker 3: around the world. It sounds super complex and in the
Speaker 3: back end and the algorithms, of course they are, but
Speaker 3: the ability to reach far and wide are not that complex.
Speaker 3: It's done through very simple measures like a mobile phone
Speaker 3: to capture that data, and so that can be really
Speaker 3: done really easily and really not at a really cost
Speaker 3: prohibitive place. And the more you do something, you get
Speaker 3: the benefits of scale. So I'm really hopeful that we
Speaker 3: are going to help athletes around the world and children
Speaker 3: around the world discover sport, enjoy sport, find something they're
Speaker 3: passionate about. I think there's a real ability to connect
Speaker 3: to people through sport that we have an opportunity to
Speaker 3: help influence.
Speaker 1: Coming out next on Technically Speaking and Intel podcast.
Speaker 3: People want answers and they want to understand things, and
Speaker 3: having AI enable that can really help people know more
Speaker 3: about the intricacies of the sport. I think it's going
Speaker 3: to be really interesting to watch this evolve over time.
Speaker 1: We'll be right back after a brief message from our
Speaker 1: partners at Intel, Welcome back to Technically Speaking, an Intel Podcast.
Speaker 1: I'm here now with Lario Corner, the Chief Information Technology
Speaker 1: Officer at the International Olympic Committee, and Sarah Vickers head
Speaker 1: of Intel's Olympic and Paralympic Games program. I want to
Speaker 1: swing this around to the fan experience, particularly for those
Speaker 1: who are lucky enough to attend the Olympic and Paralympic
Speaker 1: Games in twenty twenty four. Lario, what do you think
Speaker 1: is the most compelling way technology will change the way
Speaker 1: viewers experience these events in person?
Speaker 2: We are going to deploy with Intel a chadbot for fans.
Speaker 2: We have augmented broadcasting data with analytics that we will
Speaker 2: be having their We will have an AI lab for
Speaker 2: them to experience, which is an Intel AI lab, which
Speaker 2: would be fantastic. I had the luck to experience unt
Speaker 2: Olympic I Agenda Launch is even better for Paris twenty four.
Speaker 2: There would be a new platform that was co developed
Speaker 2: with Intel for a fun experience which would be amazing.
Speaker 2: And the automatic highlights that Sarah mentioned before.
Speaker 1: We've talked a little bit about the digital tweeting at
Speaker 1: the Olympic and Paralympic Games in Paris in twenty twenty four.
Speaker 1: Can you just explain a little bit about how Intel's
Speaker 1: involved in the technology that's being used to pile this.
Speaker 3: Sure, Intel's working very closely with the Organizing Committee and
Speaker 3: the broadcasters on delivering a digital twin solution. This is
Speaker 3: powered by Intel zon processors, so it takes a lot
Speaker 3: of compute. There's a lot of images and video and content,
Speaker 3: and it really needs the power of Intel to be
Speaker 3: able to be efficient and work for all the parties.
Speaker 3: What it does is you can do scenario planning, right,
Speaker 3: so you can say, if we are getting too much
Speaker 3: volume through this entryway, could we open another door and
Speaker 3: what would that do to flow? How do we optimize
Speaker 3: and direct people so we're not getting too many people
Speaker 3: entering at the right time. So it's really helping them
Speaker 3: be smarter about what they're planning. I think in the
Speaker 3: future you'll see some more real time application of that,
Speaker 3: so real time data to help you make those decisions.
Speaker 3: I think it helps both from a safety perspective, but
Speaker 3: it also helps with a fan experience, right. No one
Speaker 3: wants to wait in line. They want to be at
Speaker 3: the field seeing the action, and if we can help
Speaker 3: with that through really smart planning through Digital twenty, it's
Speaker 3: a win win.
Speaker 1: Okay. Just turning towards now the person viewing from home.
Speaker 1: First of all, Lario, what are some of the things
Speaker 1: that the viewers at home should look out for that
Speaker 1: will really enhance the experience watching the Olympic Games.
Speaker 2: That's a great question, and I think the good and
Speaker 2: thread of these discussions is these data and really processing
Speaker 2: all of the information that we get gathered from all
Speaker 2: of the athletes that we actually have on the field
Speaker 2: of play, will be able to provide more data and
Speaker 2: analytics to actually experience better these Olympic Games. And the
Speaker 2: ability to have more content available readily for all of
Speaker 2: our people, for all of our fans, it will be fantastic.
Speaker 2: So this is really what we're trying to do. It
Speaker 2: is this immediacy that will be provided to these fans.
Speaker 2: In addition these actually for the people that will be
Speaker 2: in Paris, there will be a lot more experiences that
Speaker 2: will be able to do in the field of play
Speaker 2: and stuff like that. There is actually one thing that
Speaker 2: I will remind you it is Paris twenty twenty four
Speaker 2: will be a centenniary because the last Olympic Games that
Speaker 2: were held there. If we're in nineteen twenty four in
Speaker 2: Paris as well, and that we have video footage of that,
Speaker 2: and it will be interesting how we can integrate into
Speaker 2: the experience show that the people will see at them.
Speaker 1: You can have a visual virtual runner from nineteen twenty
Speaker 1: four running next to the current athlete.
Speaker 2: Or a comparison to see how athletes have changed.
Speaker 1: Yeah, that's right, and you have a bit of a
Speaker 1: history in broadcasting, maybe you could just talk a little
Speaker 1: bit about how these analytics can actually help the journalists,
Speaker 1: the sports broadcasters actually help deliver that new experience, that
Speaker 1: new use of data to enhance the broadcast itself.
Speaker 2: If you think about all the events, all the sports
Speaker 2: that are present in the Olympic Games in pairs, it
Speaker 2: will be the largest one that we had so far.
Speaker 2: And one of the questions I have and I experienced,
Speaker 2: these commentator have a lot to prepare on and these
Speaker 2: all of these research gets done ahead of time. So
Speaker 2: one thing that we are trying to understand it is
Speaker 2: how can we create systems that actually will prepare all
Speaker 2: the informations that actually will understand how the heat in
Speaker 2: the hurdles four hundred meters works so that there is
Speaker 2: a lot less preparations. How can we provide clips from
Speaker 2: fill the place that are up somewhere else so that
Speaker 2: they can actually introduce it and make more colorful all
Speaker 2: of these sessions for all the people at home. I
Speaker 2: think that that's one thing that we are working on
Speaker 2: and focusing on to really you know, make this a
Speaker 2: much more you know, immersive experience.
Speaker 1: Interesting said that, because in the software world it's all
Speaker 1: about COI pilots. Now AI co pilots, it'd be interesting
Speaker 1: to have a journalist COI pilot that is right, that
Speaker 1: they can ask any sort of question or bring up
Speaker 1: any highlights.
Speaker 2: Great point, and this is why we are trying to understand.
Speaker 2: You know, if you talk about having the Olympic GPT
Speaker 2: and our private LM, this is something that we are
Speaker 2: really starting very quickly because it's you know l ELM
Speaker 2: out there together data from anywhere, and if they get used,
Speaker 2: we might have wrong information being broadcasted. So we are
Speaker 2: really taking this very seriously to make sure that the
Speaker 2: information that commentator gathers comes from a trust source, and
Speaker 2: that trust or source should be DIOC.
Speaker 1: Sarah, do you have any thoughts on what Alaria just
Speaker 1: said in terms of Olympic Games GPD type approach.
Speaker 3: I mean, I think it's what people are getting used to, right,
Speaker 3: They're used to instant answers and answers that really can
Speaker 3: help them, And I think if we can help broadcasters
Speaker 3: with the right information, it's going to make their jobs easier.
Speaker 3: They're going to tell more interesting and relevant stories. And
Speaker 3: it can be happening in real time, so if new
Speaker 3: information is coming in, it can be added in. It
Speaker 3: doesn't need to wait until that cycles through. So I
Speaker 3: think it's really exciting. And I think from a fan
Speaker 3: experience perspective at home, Alero hit the nail on the head.
Speaker 3: There's so much data. What do you do with that
Speaker 3: data that makes that experience more relevant? People want answers
Speaker 3: and they want to understand things, and having that AI
Speaker 3: enable that can really help people know more about the sport,
Speaker 3: know more about the intricacies of the sport. I think
Speaker 3: it's going to be really interesting to watch this evolve
Speaker 3: over time.
Speaker 1: For me personally, I like to know the athlete story
Speaker 1: of how they maybe got discovered and it built up
Speaker 1: and they made it into the final of the one
Speaker 1: hundred meter sprint.
Speaker 3: Yeah, it's the beauty of the Olympic and Paralympic Games
Speaker 3: and what it does. It's a real personal experience for
Speaker 3: the fan at home because they connect to those stories
Speaker 3: and really root for those athletes. And if we can
Speaker 3: help that and make that connection even tighter, it's an
Speaker 3: amazing thing.
Speaker 1: I'm really keen to see how technology can improve accessibility
Speaker 1: universally and make it easier for everyone to enjoy Paris
Speaker 1: twenty twenty four, both at home and in person. Sarah,
Speaker 1: perhaps you could talk a little bit about some of
Speaker 1: the technology around that to help the accessibility part of
Speaker 1: the Olympic and Paralympic Games.
Speaker 3: Sure, I can give some examples of what we're doing,
Speaker 3: but I can also give examples of where I think
Speaker 3: it's going, because I think this is a real opportunity
Speaker 3: to help improve the fan experience and we're at the
Speaker 3: tip of the iceberg. I think if you think about
Speaker 3: accessibility in general, digital twining is another great example of
Speaker 3: how that can help with ensuring that there's no barriers
Speaker 3: movement is done having that information in advance. We've heard
Speaker 3: from our partners at the Paralympic Committee how that's helped
Speaker 3: make things more efficient for people moving around. Another example
Speaker 3: of what we're doing is we're actually using AI platforms
Speaker 3: to help scan areas ahead of time and then have
Speaker 3: a visually impaired person be guided through without having a
Speaker 3: guide with them. But using technology speaking to them and
Speaker 3: helping them understand where the restroom is, where they need
Speaker 3: to turn, etc. So they become more independent. We would
Speaker 3: like to see that evolve where it's everywhere and it's
Speaker 3: not just in a test environment, which is what we're
Speaker 3: essentially doing for Paris. But we do see this evolving
Speaker 3: over time. Another really cool example of what we've seen
Speaker 3: is with hearing a paired and real time translation of ASL,
Speaker 3: so someone who uses ASL and someone can have a
Speaker 3: conversation with them using technology to make it really seamless.
Speaker 3: That's something that we've seen being done, and I think
Speaker 3: from an event experience perspective, could just change things altogether
Speaker 3: because you could make that across every event everywhere in
Speaker 3: the world.
Speaker 1: Final thoughts, What do you think is the future of AI,
Speaker 1: not just for the Olympics and Paralympic Games, but in
Speaker 1: sport in general in twelve, fifteen, eighteen years time.
Speaker 2: It's a great question, and I think there is two
Speaker 2: or three topics. One it is personalizations, and I think
Speaker 2: that we got very far, but I think there is
Speaker 2: still more that we can do. I'm being very lucky
Speaker 2: that I worked in a lot of places, but I'm
Speaker 2: originally Swiss and I still remember looking at the Olympic Games.
Speaker 2: I want to see the athletes of Switzerland, and unfortunately,
Speaker 2: as you can understand, or fortunately the broadcasters in cert
Speaker 2: of the country are very focused on their own athletes.
Speaker 2: So I think that AI would be able to actually
Speaker 2: allow us to do it is actually be more personalized
Speaker 2: on what actually will be looking. So that's one thing.
Speaker 2: Secondly is and you mentioned this Grame, I think the
Speaker 2: data that we'll be able to collect and to understanding
Speaker 2: even better how performance was done and tell more comprehensive
Speaker 2: story on performance, which we are doing right now. But
Speaker 2: I think we can go to the next level really
Speaker 2: and then I would say the next one is really
Speaker 2: on the athletes. It's himself and the performance, the training.
Speaker 2: I hope will see that we can extend the careers
Speaker 2: of athletes.
Speaker 1: And so putting your future hat on what do you
Speaker 1: think is going to.
Speaker 3: Happen, I mean looking twelve to fifteen years out seems
Speaker 3: almost impossible. But I think a couple of things that
Speaker 3: I'd say that I think are going to be core
Speaker 3: in AI and sport. One is it's still going to
Speaker 3: be about the athletes and the performance of the athletes,
Speaker 3: and the human element is going to be there throughout,
Speaker 3: so you're still going to have these personal connections to
Speaker 3: these humans performing and that's not going to change. AI
Speaker 3: is not going to change that, but AI is going
Speaker 3: to continue to evolve how we experience that, how we
Speaker 3: learn about that, and how the athletes train. I think
Speaker 3: we're just going to continue to learn. If you think
Speaker 3: about the experience in broadcast, if you think about understanding
Speaker 3: social sentiment, so using AI as an example to understand
Speaker 3: how are people talking about this broadcast and then the
Speaker 3: ability to change that broadcast to make it better, Right,
Speaker 3: that's just awesome for the broadcasters, it's awesome for the advertisers,
Speaker 3: it's awesome for the fans. So I think you're going
Speaker 3: to see more and more of those kinds of things
Speaker 3: as well as enhancing that in stadium in venue experience
Speaker 3: because it's going to be more accessible, easier to get around, smarter,
Speaker 3: and AI is just going to have influence in all
Speaker 3: aspects of that. I think it's just those use cases
Speaker 3: are still evolving.
Speaker 1: Alaria and Sarah, thank you so much for you, Tom.
Speaker 2: Thank you very much for for having us.
Speaker 1: Thank you, thank you, Tobias Lario and Sarah for their
Speaker 1: insights and experience for this year's Olympic and Paralympic Games, Paris,
Speaker 1: twenty twenty four. After talking with Alario and Sarah, the
Speaker 1: potential of AI combined with the Olympic Games is something
Speaker 1: I'm really looking forward to experiencing this summer. Being somewhat
Speaker 1: of a data nerd myself, I'll be on the lookout
Speaker 1: for all the new insights into athletes stats and achievements.
Speaker 1: But more than that, it'll be interesting to see if
Speaker 1: the technology we discussed today can enhance the personal stories
Speaker 1: of the athletes that converge from all corners of the world,
Speaker 1: stories that can inspire us to achieve all that we
Speaker 1: can be. Good luck to all the athletes at the
Speaker 1: Olympic and Paralympic Games, Paris, twenty twenty four. Thanks to
Speaker 1: everyone for listening to the second season of Technically Speaking.
Speaker 1: I hope you learned as much as I did during
Speaker 1: the course of the season about the advancements in AI
Speaker 1: technology and where we're headed from healthcare to retail, to
Speaker 1: city planning and so much more. And if you missed
Speaker 1: any episodes, you can always go back into our archives.
Speaker 1: All the episodes from season two and season one are
Speaker 1: available in your feed right now wherever you get your podcasts,
Speaker 1: and we'll see you in the future. Technically Speaking was
Speaker 1: produced by Ruby Studio from iHeartRadio in partnership with Intel
Speaker 1: and hosted by me Graham class. Our executive producer is
Speaker 1: Molly Sosher, our EP of Post Production is James Foster,
Speaker 1: and our Supervising producer is Nikia Swinton. This episode was
Speaker 1: edited by Sierra Spreen and written by Nick Firshall.