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Speaker 1: Worldwide sporting events like the FIFA World Cup and the

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Speaker 1: Olympic and Paralympic Games have been some of the world's

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Speaker 1: most unifying events for more than a century, during the

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Speaker 1: attention of spectators and enthusiasts from around the globe to

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Speaker 1: watch the greatest athletes of our time compete for a

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Speaker 1: place in history. The Olympic and Paralympic Games Paris twenty

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Speaker 1: twenty four will be different from all the rest thanks

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Speaker 1: to new technology that will help make it the smartest

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Speaker 1: Olympic Games yet. How can Intel AI platforms and advanced

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Speaker 1: data analytics revolutionize the experience of the Olympic and Paralympic

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Speaker 1: Games in the stadium and at home. Join us as

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Speaker 1: we learn more about what happens when the world's most

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Speaker 1: innovative minds join forces with the world's greatest athletes in

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Speaker 1: the quest for gold. Welcome to Technically Speaking, an Intel

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Speaker 1: podcast produced by Media's Ruby Studio in partnership with Intel.

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Speaker 1: In every episode, we explore how AI innovations are changing

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Speaker 1: the world and revolutionizing the way we live. Hey, there,

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Speaker 1: I'm grame class. Today. In our final episode of season two,

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Speaker 1: we are exploring the role AI platform technology will play

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Speaker 1: in the upcoming Olympic and Paralympic Games Paris twenty twenty four,

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Speaker 1: both for the athletes and for the fans. To discuss

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Speaker 1: the topic further, we're joined by Alario Korne, the Chief

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Speaker 1: Information Technology Officer at the International Olympic Committee for the IOC.

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Speaker 1: Alaria has served in his current role since twenty twenty,

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Speaker 1: and he's tasked with leading all IT strategy and operations

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Speaker 1: for the IOC and ensuring the delivery of cutting edge

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Speaker 1: technology solutions for the Olympic Games.

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Speaker 2: Welcome Malario, Thank you very much, Graham, great to be here.

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Speaker 1: We're also joined by Sarah Vickers, head of Intel's Olympic

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Speaker 1: and Paralympic Games program. Sarah joined Intel in twenty fifteen

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Speaker 1: and has been working on Intel's partnership with the IOC

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Speaker 1: since twenty seventeen. Welcome to you too, Sarah.

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Speaker 3: It's great to be here.

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Speaker 1: I want to start and go back to Tokyo twenty twenty,

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Speaker 1: where a lot of us would remember the one thy

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Speaker 1: eight hundred Intel Premium drones during the opening ceremony before

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Speaker 1: we discuss what to expect in this year's Olympic and

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Speaker 1: Paralympic Games. What's the one technological innovation that sticks out

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Speaker 1: for you over the past few editions of the Olympic Games.

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Speaker 2: I will say, for me, it is exactly what you say.

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Speaker 2: The drones. I still remember this day. I was actually

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Speaker 2: on the field of play in the Olympic stadiums and

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Speaker 2: seeing them come up with something amazing. Even though during

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Speaker 2: the Olympic Games we always have seen technology innovations and

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Speaker 2: really things new and everybody saw before the last innovation

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Speaker 2: that we had seen in Japan was actually the satellites

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Speaker 2: and to use broadcasting live feeds. So innovation has been

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Speaker 2: always at the core of the Olympic Games, and anything new,

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Speaker 2: I will say is wait and see and you will

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Speaker 2: be odd for what you will see.

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Speaker 1: Sarah, I have got you any lasting memories from previous

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Speaker 1: Olympic and Paralympic Games.

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Speaker 3: I think what I'd say is we're really proud of

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Speaker 3: our progress over time, especially when it comes to artificial

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Speaker 3: intelligent platforms. When we started in twenty seventeen, we really

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Speaker 3: were just demonstrating what was possible, and now we are

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Speaker 3: delivering solutions and we've been doing that through helping demonstrate data.

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Speaker 3: We did a big thing with artificial intelligent platforms in

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Speaker 3: the Olympic Winter Games Beijing twenty twenty two. So, like

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Speaker 3: Lario said, I think the ceremonies are a closely kept secret,

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Speaker 3: but I'm really excited to see what's going to happen

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Speaker 3: on July twenty six.

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Speaker 1: And Intel has been a global partner for the Olympic

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Speaker 1: and Paralympic Games since Pyeongchang twenty eighteen, making this summer's

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Speaker 1: edition in Paris to full time. The company has played

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Speaker 1: a role in this biggest event in sport. Why is

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Speaker 1: this partnership so important to Intel?

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Speaker 3: I think there's a number of reasons, But like you said,

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Speaker 3: the Olympic and Paralympic Games, they're massive and they're incredibly

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Speaker 3: complex to deliver. So I think why we love it

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Speaker 3: is that we're able to demonstrate what we're capable of

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Speaker 3: on a really global and massive scale. And we've been

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Speaker 3: able to do that through incredible partnerships with people like

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Speaker 3: Allario who really help us demonstrate all the different areas

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Speaker 3: where we can have impact, whether that be using AI

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Speaker 3: platforms through five G and the power of our processing

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Speaker 3: and compute. There's so many different aspects where these solutions

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Speaker 3: play a role broadcast the incredibly complex operations of delivering

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Speaker 3: an event at of scale this size and enhancing the

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Speaker 3: fan experience. We have the opportunity to deliver this at

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Speaker 3: the Olympic Games, and then we have the opportunity to

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Speaker 3: go scale that then these solutions in other areas.

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Speaker 1: And you mentioned the magic word AI, and I'm really

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Speaker 1: interested in how AI is going to be a factor

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Speaker 1: in the Olympic and Paralympic Games. In April, the IOC

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Speaker 1: unveiled its plans for using AI during Paris twenty twenty four,

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Speaker 1: and the IOC officials said that the AI will help

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Speaker 1: identify promising athletes, personalized training methods, and make the Olympic

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Speaker 1: and Paralympic Games fairer by improving judging, amongst a lot

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Speaker 1: of things. Alario, just how much of a role will

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Speaker 1: AI play in the Olympics compared to previous editions, and again,

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Speaker 1: which ones are you most excited about?

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Speaker 2: This is a fantastic question. So we were asked by

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Speaker 2: our president Thomas Bach to come up with what was

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Speaker 2: the impact of AI forty Olympic movement FORTIOC forty Olympic Games,

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Speaker 2: and it became very clear, very quickly that it was

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Speaker 2: a very large tusk and we needed to kind of

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Speaker 2: gather opinions and other inputs from other people. We have

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Speaker 2: done a fantastic work in Senegal with Intel trying to

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Speaker 2: understand the impact of athletes identifications and how they can

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Speaker 2: be found in remote locations and remote locations does not

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Speaker 2: just imply being in Senegal or any other countries. And

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Speaker 2: we tested over a thousand promising athletes and we found

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Speaker 2: forty there were top athletes and regarding for these Olympic Games,

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Speaker 2: what we worked on with Intel is digital twinning and

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Speaker 2: digital twining really help the organizations and the IOC understand

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Speaker 2: better how we can plan better given from an a

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Speaker 2: venue out the flow of people would be done from

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Speaker 2: a broadcasting standpoint, which are the best camera angles to

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Speaker 2: use everything, and really this revolutionizes how a large sporting

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Speaker 2: event can be done without traveling, without meeting on personal

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Speaker 2: and doing all these virtually. The other one that we

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Speaker 2: are working as well there it is cyber abuse is

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Speaker 2: a very big topic for US safe sports and it

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Speaker 2: is a very very interesting as well. And there is

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Speaker 2: a area of outer use cases that you will see

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Speaker 2: and many of them we have done in partnership with

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Speaker 2: Intel and through all of their solutions.

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Speaker 1: And So what excites you about these AI innovations, in

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Speaker 1: particular the way Intel providing their support.

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Speaker 3: I think there's so many and we're just seeing things

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Speaker 3: move so fast and there's so many different applications. One

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Speaker 3: of the examples I really love is the work we're

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Speaker 3: doing to use Intel's AI platforms to create AI generated highlights.

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Speaker 3: So we're working with Olympic broadcasting services to create highlights

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Speaker 3: that otherwise just wouldn't have been possible. It's enhancing the

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Speaker 3: broadcast experience. So it's not just an efficiency opportunity, it's

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Speaker 3: opportunity to create new opportunities for that fan at home

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Speaker 3: to really experience the Olympic Games.

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Speaker 1: So would an example be, you know, you might be

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Speaker 1: interested in volleyball and you're just interested in the particular

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Speaker 1: highlights from the French team. You know, potentially that's how

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Speaker 1: an AI could.

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Speaker 3: Be used exactly. Or you really like archery and typically

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Speaker 3: that wouldn't be the focus where the broadcasters could spend

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Speaker 3: their time, but now it's much easier to create that,

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Speaker 3: so you can really see all the best shots, so

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Speaker 3: to speak.

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Speaker 1: Yeah, and I just want to turn a little bit

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Speaker 1: now to the athletes experience and how the AI movement

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Speaker 1: affects the way that they train and compete. There was

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Speaker 1: a quote from the US Olympic gold medalist skier lindzy

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Speaker 1: Vonn said recently that AI won't replace athletes or coaches,

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Speaker 1: but it'll supercharge analytical methods for athletes and can be

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Speaker 1: used as a positive way to perform better. Alari, can

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Speaker 1: you give us an example of how AI is currently

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Speaker 1: being used by athletes?

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Speaker 2: Definitely, and a great example could be the use of

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Speaker 2: AI in biomechanics and athletes in discipline such a gymnastic

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Speaker 2: and diving and using a to analyze their movements. This

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Speaker 2: is opening today and it is really impressive what it

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Speaker 2: can be done. And actually one other one that we

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Speaker 2: are starting to work on it is how AI can

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Speaker 2: actually predict injuries for an athlete, and there is actually

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Speaker 2: methodologies that actually you can understand that an athlete is

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Speaker 2: going to get an injury on the scaf or wherever

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Speaker 2: it will be. So thesis really does not an anst

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Speaker 2: their ability to perform, but actually makes themselves safer and

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Speaker 2: actually prolong their careers, which will be great.

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Speaker 1: And so what have you seen in terms of the

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Speaker 1: feedback or the attitude towards AI from coaches and athletes.

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Speaker 3: Athletes and coaches love data, and they love actionable data,

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Speaker 3: and if they can get data in real time to

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Speaker 3: help them change and adjust, they love that. So I

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Speaker 3: think there's a lot of open mind as to it

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Speaker 3: and excitement around it to really use this technology to

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Speaker 3: help them and figure out what's that one thing that

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Speaker 3: can help them get ahead.

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Speaker 1: Is it an example you could give that could solidify

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Speaker 1: in our listeners' minds about a practical story around using

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Speaker 1: AI that could just basically help us paint a picture

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Speaker 1: of what actually they'd be using.

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Speaker 3: There's lots of different examples, but if you think about training,

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Speaker 3: it's a lot of repetitive tasks, and if you can

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Speaker 3: use computer vision using AI platforms, you can start to analyze,

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Speaker 3: like Alario mentioned before, using biomechanical information, and you can

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Speaker 3: understand how that movement is changing over time or adjusting

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Speaker 3: over time. So it enables the athletes to make tweaks.

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Speaker 3: And we've seen this through throwing, through speed skating, and

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Speaker 3: other sports where athletes have been able to use that data,

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Speaker 3: understand what they're doing different and make tweaks. The other

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Speaker 3: really interesting thing about what this can do is it

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Speaker 3: can help identify things that you weren't really thinking about

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Speaker 3: before because the algorithms are learning and pulling out new

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Speaker 3: information and can really say, you know, it's not a

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Speaker 3: that's really impacting the distance of the throw as an example,

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Speaker 3: it's really B and sometimes with the naked eye that

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Speaker 3: hasn't been possible. But through AI platforms, this is starting

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Speaker 3: to be something we're seeing that's quite interesting.

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Speaker 1: And if you could just sort of maybe describe a

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Speaker 1: little bit about the technology that's used to help identify

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Speaker 1: some of the Olympic hopefuls so that they can actually

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Speaker 1: make it and help them make it to the big stage.

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Speaker 3: Sure, we have developed this technology through something called three

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Speaker 3: D Athlete Tracking or three DOT. This enables computer vision

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Speaker 3: data to be captured using AI platforms and it takes

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Speaker 3: that real time data and provides three D sports biomechanics reporting.

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Speaker 3: We use a variety of our Intel AI platform stack

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Speaker 3: to enable this, including hardware and software solutions. So we're

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Speaker 3: using Intel Xeon and Core processors. They're using open Vino,

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Speaker 3: which is our open source technology to help do that.

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Speaker 3: All being driven for efficiency using Intel Goudy AI accelerators.

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Speaker 3: So it's really demonstrating all the goodness that Intel can

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Speaker 3: help through every step of an AI solution.

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Speaker 1: And Lario, have you heard of any specific examples of

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Speaker 1: where the athletes are really excited about this in terms

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Speaker 1: of for their training and competition.

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Speaker 2: They are definitely excited. If our listener want to go

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Speaker 2: on YouTube and we look at the Olympic Agenda launch,

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Speaker 2: you can actually see some of the athletes that were

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Speaker 2: part of our Olympic AI working group and James Ayckel

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Speaker 2: and Alistair Brownby make real examples of how they've been

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Speaker 2: using it and learning from it, which has been fantastic.

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Speaker 2: A truly belief that what we have done it is

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Speaker 2: a great things that actually can transform to world of sports.

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Speaker 2: And if you think about our motto, which is make

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Speaker 2: the world better true sports, we will be really embodying

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Speaker 2: this with Intel as our partner as well.

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Speaker 1: And Sarah, I'd like your thoughts around the use of

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Speaker 1: Intel technology and AI technology in general. You know, my

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Speaker 1: belief is that these sorts of technologies will become cheaper

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Speaker 1: and more widespread for larger numbers of nations. I would

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Speaker 1: like your thoughts on that trend.

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Speaker 3: You're absolutely right. I think this technology enable to access

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Speaker 3: around the world. It sounds super complex and in the

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Speaker 3: back end and the algorithms, of course they are, but

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Speaker 3: the ability to reach far and wide are not that complex.

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Speaker 3: It's done through very simple measures like a mobile phone

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Speaker 3: to capture that data, and so that can be really

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Speaker 3: done really easily and really not at a really cost

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Speaker 3: prohibitive place. And the more you do something, you get

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Speaker 3: the benefits of scale. So I'm really hopeful that we

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Speaker 3: are going to help athletes around the world and children

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Speaker 3: around the world discover sport, enjoy sport, find something they're

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Speaker 3: passionate about. I think there's a real ability to connect

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Speaker 3: to people through sport that we have an opportunity to

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Speaker 3: help influence.

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Speaker 1: Coming out next on Technically Speaking and Intel podcast.

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Speaker 3: People want answers and they want to understand things, and

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Speaker 3: having AI enable that can really help people know more

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Speaker 3: about the intricacies of the sport. I think it's going

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Speaker 3: to be really interesting to watch this evolve over time.

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Speaker 1: We'll be right back after a brief message from our

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Speaker 1: partners at Intel, Welcome back to Technically Speaking, an Intel Podcast.

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Speaker 1: I'm here now with Lario Corner, the Chief Information Technology

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Speaker 1: Officer at the International Olympic Committee, and Sarah Vickers head

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Speaker 1: of Intel's Olympic and Paralympic Games program. I want to

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Speaker 1: swing this around to the fan experience, particularly for those

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Speaker 1: who are lucky enough to attend the Olympic and Paralympic

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Speaker 1: Games in twenty twenty four. Lario, what do you think

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Speaker 1: is the most compelling way technology will change the way

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Speaker 1: viewers experience these events in person?

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Speaker 2: We are going to deploy with Intel a chadbot for fans.

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Speaker 2: We have augmented broadcasting data with analytics that we will

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Speaker 2: be having their We will have an AI lab for

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Speaker 2: them to experience, which is an Intel AI lab, which

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Speaker 2: would be fantastic. I had the luck to experience unt

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Speaker 2: Olympic I Agenda Launch is even better for Paris twenty four.

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Speaker 2: There would be a new platform that was co developed

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Speaker 2: with Intel for a fun experience which would be amazing.

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Speaker 2: And the automatic highlights that Sarah mentioned before.

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Speaker 1: We've talked a little bit about the digital tweeting at

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Speaker 1: the Olympic and Paralympic Games in Paris in twenty twenty four.

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Speaker 1: Can you just explain a little bit about how Intel's

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Speaker 1: involved in the technology that's being used to pile this.

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Speaker 3: Sure, Intel's working very closely with the Organizing Committee and

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Speaker 3: the broadcasters on delivering a digital twin solution. This is

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Speaker 3: powered by Intel zon processors, so it takes a lot

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Speaker 3: of compute. There's a lot of images and video and content,

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Speaker 3: and it really needs the power of Intel to be

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Speaker 3: able to be efficient and work for all the parties.

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Speaker 3: What it does is you can do scenario planning, right,

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Speaker 3: so you can say, if we are getting too much

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Speaker 3: volume through this entryway, could we open another door and

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Speaker 3: what would that do to flow? How do we optimize

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Speaker 3: and direct people so we're not getting too many people

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Speaker 3: entering at the right time. So it's really helping them

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Speaker 3: be smarter about what they're planning. I think in the

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Speaker 3: future you'll see some more real time application of that,

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Speaker 3: so real time data to help you make those decisions.

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Speaker 3: I think it helps both from a safety perspective, but

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Speaker 3: it also helps with a fan experience, right. No one

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Speaker 3: wants to wait in line. They want to be at

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Speaker 3: the field seeing the action, and if we can help

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Speaker 3: with that through really smart planning through Digital twenty, it's

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Speaker 3: a win win.

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Speaker 1: Okay. Just turning towards now the person viewing from home.

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Speaker 1: First of all, Lario, what are some of the things

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Speaker 1: that the viewers at home should look out for that

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Speaker 1: will really enhance the experience watching the Olympic Games.

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Speaker 2: That's a great question, and I think the good and

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Speaker 2: thread of these discussions is these data and really processing

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Speaker 2: all of the information that we get gathered from all

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Speaker 2: of the athletes that we actually have on the field

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Speaker 2: of play, will be able to provide more data and

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Speaker 2: analytics to actually experience better these Olympic Games. And the

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Speaker 2: ability to have more content available readily for all of

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Speaker 2: our people, for all of our fans, it will be fantastic.

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Speaker 2: So this is really what we're trying to do. It

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Speaker 2: is this immediacy that will be provided to these fans.

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Speaker 2: In addition these actually for the people that will be

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Speaker 2: in Paris, there will be a lot more experiences that

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Speaker 2: will be able to do in the field of play

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Speaker 2: and stuff like that. There is actually one thing that

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Speaker 2: I will remind you it is Paris twenty twenty four

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Speaker 2: will be a centenniary because the last Olympic Games that

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Speaker 2: were held there. If we're in nineteen twenty four in

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Speaker 2: Paris as well, and that we have video footage of that,

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Speaker 2: and it will be interesting how we can integrate into

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Speaker 2: the experience show that the people will see at them.

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Speaker 1: You can have a visual virtual runner from nineteen twenty

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Speaker 1: four running next to the current athlete.

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Speaker 2: Or a comparison to see how athletes have changed.

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Speaker 1: Yeah, that's right, and you have a bit of a

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Speaker 1: history in broadcasting, maybe you could just talk a little

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Speaker 1: bit about how these analytics can actually help the journalists,

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Speaker 1: the sports broadcasters actually help deliver that new experience, that

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Speaker 1: new use of data to enhance the broadcast itself.

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Speaker 2: If you think about all the events, all the sports

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Speaker 2: that are present in the Olympic Games in pairs, it

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Speaker 2: will be the largest one that we had so far.

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Speaker 2: And one of the questions I have and I experienced,

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Speaker 2: these commentator have a lot to prepare on and these

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Speaker 2: all of these research gets done ahead of time. So

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Speaker 2: one thing that we are trying to understand it is

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Speaker 2: how can we create systems that actually will prepare all

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Speaker 2: the informations that actually will understand how the heat in

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Speaker 2: the hurdles four hundred meters works so that there is

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Speaker 2: a lot less preparations. How can we provide clips from

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Speaker 2: fill the place that are up somewhere else so that

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Speaker 2: they can actually introduce it and make more colorful all

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Speaker 2: of these sessions for all the people at home. I

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Speaker 2: think that that's one thing that we are working on

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Speaker 2: and focusing on to really you know, make this a

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Speaker 2: much more you know, immersive experience.

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Speaker 1: Interesting said that, because in the software world it's all

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Speaker 1: about COI pilots. Now AI co pilots, it'd be interesting

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Speaker 1: to have a journalist COI pilot that is right, that

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Speaker 1: they can ask any sort of question or bring up

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Speaker 1: any highlights.

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Speaker 2: Great point, and this is why we are trying to understand.

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Speaker 2: You know, if you talk about having the Olympic GPT

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Speaker 2: and our private LM, this is something that we are

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Speaker 2: really starting very quickly because it's you know l ELM

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Speaker 2: out there together data from anywhere, and if they get used,

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Speaker 2: we might have wrong information being broadcasted. So we are

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Speaker 2: really taking this very seriously to make sure that the

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Speaker 2: information that commentator gathers comes from a trust source, and

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Speaker 2: that trust or source should be DIOC.

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Speaker 1: Sarah, do you have any thoughts on what Alaria just

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Speaker 1: said in terms of Olympic Games GPD type approach.

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Speaker 3: I mean, I think it's what people are getting used to, right,

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Speaker 3: They're used to instant answers and answers that really can

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Speaker 3: help them, And I think if we can help broadcasters

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Speaker 3: with the right information, it's going to make their jobs easier.

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Speaker 3: They're going to tell more interesting and relevant stories. And

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Speaker 3: it can be happening in real time, so if new

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Speaker 3: information is coming in, it can be added in. It

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Speaker 3: doesn't need to wait until that cycles through. So I

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Speaker 3: think it's really exciting. And I think from a fan

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Speaker 3: experience perspective at home, Alero hit the nail on the head.

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Speaker 3: There's so much data. What do you do with that

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Speaker 3: data that makes that experience more relevant? People want answers

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Speaker 3: and they want to understand things, and having that AI

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Speaker 3: enable that can really help people know more about the sport,

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Speaker 3: know more about the intricacies of the sport. I think

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Speaker 3: it's going to be really interesting to watch this evolve

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Speaker 3: over time.

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Speaker 1: For me personally, I like to know the athlete story

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Speaker 1: of how they maybe got discovered and it built up

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Speaker 1: and they made it into the final of the one

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Speaker 1: hundred meter sprint.

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Speaker 3: Yeah, it's the beauty of the Olympic and Paralympic Games

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Speaker 3: and what it does. It's a real personal experience for

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Speaker 3: the fan at home because they connect to those stories

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Speaker 3: and really root for those athletes. And if we can

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Speaker 3: help that and make that connection even tighter, it's an

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Speaker 3: amazing thing.

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Speaker 1: I'm really keen to see how technology can improve accessibility

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Speaker 1: universally and make it easier for everyone to enjoy Paris

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Speaker 1: twenty twenty four, both at home and in person. Sarah,

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Speaker 1: perhaps you could talk a little bit about some of

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Speaker 1: the technology around that to help the accessibility part of

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Speaker 1: the Olympic and Paralympic Games.

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Speaker 3: Sure, I can give some examples of what we're doing,

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Speaker 3: but I can also give examples of where I think

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Speaker 3: it's going, because I think this is a real opportunity

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Speaker 3: to help improve the fan experience and we're at the

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Speaker 3: tip of the iceberg. I think if you think about

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Speaker 3: accessibility in general, digital twining is another great example of

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Speaker 3: how that can help with ensuring that there's no barriers

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Speaker 3: movement is done having that information in advance. We've heard

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Speaker 3: from our partners at the Paralympic Committee how that's helped

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Speaker 3: make things more efficient for people moving around. Another example

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Speaker 3: of what we're doing is we're actually using AI platforms

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Speaker 3: to help scan areas ahead of time and then have

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Speaker 3: a visually impaired person be guided through without having a

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Speaker 3: guide with them. But using technology speaking to them and

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Speaker 3: helping them understand where the restroom is, where they need

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Speaker 3: to turn, etc. So they become more independent. We would

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Speaker 3: like to see that evolve where it's everywhere and it's

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Speaker 3: not just in a test environment, which is what we're

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Speaker 3: essentially doing for Paris. But we do see this evolving

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Speaker 3: over time. Another really cool example of what we've seen

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Speaker 3: is with hearing a paired and real time translation of ASL,

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Speaker 3: so someone who uses ASL and someone can have a

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Speaker 3: conversation with them using technology to make it really seamless.

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Speaker 3: That's something that we've seen being done, and I think

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Speaker 3: from an event experience perspective, could just change things altogether

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Speaker 3: because you could make that across every event everywhere in

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Speaker 3: the world.

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Speaker 1: Final thoughts, What do you think is the future of AI,

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Speaker 1: not just for the Olympics and Paralympic Games, but in

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Speaker 1: sport in general in twelve, fifteen, eighteen years time.

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Speaker 2: It's a great question, and I think there is two

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Speaker 2: or three topics. One it is personalizations, and I think

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Speaker 2: that we got very far, but I think there is

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Speaker 2: still more that we can do. I'm being very lucky

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Speaker 2: that I worked in a lot of places, but I'm

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Speaker 2: originally Swiss and I still remember looking at the Olympic Games.

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Speaker 2: I want to see the athletes of Switzerland, and unfortunately,

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Speaker 2: as you can understand, or fortunately the broadcasters in cert

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Speaker 2: of the country are very focused on their own athletes.

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Speaker 2: So I think that AI would be able to actually

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Speaker 2: allow us to do it is actually be more personalized

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Speaker 2: on what actually will be looking. So that's one thing.

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Speaker 2: Secondly is and you mentioned this Grame, I think the

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Speaker 2: data that we'll be able to collect and to understanding

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Speaker 2: even better how performance was done and tell more comprehensive

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Speaker 2: story on performance, which we are doing right now. But

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Speaker 2: I think we can go to the next level really

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Speaker 2: and then I would say the next one is really

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Speaker 2: on the athletes. It's himself and the performance, the training.

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Speaker 2: I hope will see that we can extend the careers

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Speaker 2: of athletes.

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Speaker 1: And so putting your future hat on what do you

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Speaker 1: think is going to.

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Speaker 3: Happen, I mean looking twelve to fifteen years out seems

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Speaker 3: almost impossible. But I think a couple of things that

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Speaker 3: I'd say that I think are going to be core

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Speaker 3: in AI and sport. One is it's still going to

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Speaker 3: be about the athletes and the performance of the athletes,

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Speaker 3: and the human element is going to be there throughout,

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Speaker 3: so you're still going to have these personal connections to

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Speaker 3: these humans performing and that's not going to change. AI

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Speaker 3: is not going to change that, but AI is going

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Speaker 3: to continue to evolve how we experience that, how we

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Speaker 3: learn about that, and how the athletes train. I think

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Speaker 3: we're just going to continue to learn. If you think

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Speaker 3: about the experience in broadcast, if you think about understanding

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Speaker 3: social sentiment, so using AI as an example to understand

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Speaker 3: how are people talking about this broadcast and then the

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Speaker 3: ability to change that broadcast to make it better, Right,

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Speaker 3: that's just awesome for the broadcasters, it's awesome for the advertisers,

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Speaker 3: it's awesome for the fans. So I think you're going

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Speaker 3: to see more and more of those kinds of things

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Speaker 3: as well as enhancing that in stadium in venue experience

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Speaker 3: because it's going to be more accessible, easier to get around, smarter,

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Speaker 3: and AI is just going to have influence in all

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Speaker 3: aspects of that. I think it's just those use cases

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Speaker 3: are still evolving.

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Speaker 1: Alaria and Sarah, thank you so much for you, Tom.

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Speaker 2: Thank you very much for for having us.

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Speaker 1: Thank you, thank you, Tobias Lario and Sarah for their

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Speaker 1: insights and experience for this year's Olympic and Paralympic Games, Paris,

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Speaker 1: twenty twenty four. After talking with Alario and Sarah, the

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Speaker 1: potential of AI combined with the Olympic Games is something

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Speaker 1: I'm really looking forward to experiencing this summer. Being somewhat

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Speaker 1: of a data nerd myself, I'll be on the lookout

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Speaker 1: for all the new insights into athletes stats and achievements.

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Speaker 1: But more than that, it'll be interesting to see if

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Speaker 1: the technology we discussed today can enhance the personal stories

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Speaker 1: of the athletes that converge from all corners of the world,

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Speaker 1: stories that can inspire us to achieve all that we

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Speaker 1: can be. Good luck to all the athletes at the

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Speaker 1: Olympic and Paralympic Games, Paris, twenty twenty four. Thanks to

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Speaker 1: everyone for listening to the second season of Technically Speaking.

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Speaker 1: I hope you learned as much as I did during

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Speaker 1: the course of the season about the advancements in AI

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Speaker 1: technology and where we're headed from healthcare to retail, to

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Speaker 1: city planning and so much more. And if you missed

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Speaker 1: any episodes, you can always go back into our archives.

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Speaker 1: All the episodes from season two and season one are

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Speaker 1: available in your feed right now wherever you get your podcasts,

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Speaker 1: and we'll see you in the future. Technically Speaking was

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Speaker 1: produced by Ruby Studio from iHeartRadio in partnership with Intel

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Speaker 1: and hosted by me Graham class. Our executive producer is

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Speaker 1: Molly Sosher, our EP of Post Production is James Foster,

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Speaker 1: and our Supervising producer is Nikia Swinton. This episode was

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Speaker 1: edited by Sierra Spreen and written by Nick Firshall.