WEBVTT - The Smartest Olympics Yet 0:00:04.000 --> 0:00:06.880 Worldwide sporting events like the FIFA World Cup and the 0:00:06.880 --> 0:00:09.760 Olympic and Paralympic Games have been some of the world's 0:00:09.760 --> 0:00:13.200 most unifying events for more than a century, during the 0:00:13.240 --> 0:00:16.840 attention of spectators and enthusiasts from around the globe to 0:00:16.880 --> 0:00:20.000 watch the greatest athletes of our time compete for a 0:00:20.079 --> 0:00:26.960 place in history. The Olympic and Paralympic Games Paris twenty 0:00:27.000 --> 0:00:29.680 twenty four will be different from all the rest thanks 0:00:29.680 --> 0:00:32.320 to new technology that will help make it the smartest 0:00:32.360 --> 0:00:36.839 Olympic Games yet. How can Intel AI platforms and advanced 0:00:36.880 --> 0:00:40.960 data analytics revolutionize the experience of the Olympic and Paralympic 0:00:41.000 --> 0:00:45.319 Games in the stadium and at home. Join us as 0:00:45.360 --> 0:00:48.080 we learn more about what happens when the world's most 0:00:48.080 --> 0:00:52.000 innovative minds join forces with the world's greatest athletes in 0:00:52.040 --> 0:00:57.960 the quest for gold. Welcome to Technically Speaking, an Intel 0:00:58.000 --> 0:01:02.640 podcast produced by Media's Ruby Studio in partnership with Intel. 0:01:03.560 --> 0:01:07.360 In every episode, we explore how AI innovations are changing 0:01:07.360 --> 0:01:11.800 the world and revolutionizing the way we live. Hey, there, 0:01:11.959 --> 0:01:16.080 I'm grame class. Today. In our final episode of season two, 0:01:16.600 --> 0:01:19.800 we are exploring the role AI platform technology will play 0:01:20.040 --> 0:01:24.160 in the upcoming Olympic and Paralympic Games Paris twenty twenty four, 0:01:24.560 --> 0:01:29.440 both for the athletes and for the fans. To discuss 0:01:29.480 --> 0:01:32.839 the topic further, we're joined by Alario Korne, the Chief 0:01:32.920 --> 0:01:36.760 Information Technology Officer at the International Olympic Committee for the IOC. 0:01:37.440 --> 0:01:40.039 Alaria has served in his current role since twenty twenty, 0:01:40.120 --> 0:01:42.920 and he's tasked with leading all IT strategy and operations 0:01:42.920 --> 0:01:45.520 for the IOC and ensuring the delivery of cutting edge 0:01:45.520 --> 0:01:47.760 technology solutions for the Olympic Games. 0:01:48.240 --> 0:01:51.120 Welcome Malario, Thank you very much, Graham, great to be here. 0:01:51.600 --> 0:01:54.560 We're also joined by Sarah Vickers, head of Intel's Olympic 0:01:54.600 --> 0:01:58.400 and Paralympic Games program. Sarah joined Intel in twenty fifteen 0:01:59.080 --> 0:02:01.720 and has been working on Intel's partnership with the IOC 0:02:02.120 --> 0:02:05.040 since twenty seventeen. Welcome to you too, Sarah. 0:02:05.120 --> 0:02:06.040 It's great to be here. 0:02:11.200 --> 0:02:15.200 I want to start and go back to Tokyo twenty twenty, 0:02:15.280 --> 0:02:18.760 where a lot of us would remember the one thy 0:02:18.880 --> 0:02:24.440 eight hundred Intel Premium drones during the opening ceremony before 0:02:24.440 --> 0:02:26.920 we discuss what to expect in this year's Olympic and 0:02:26.960 --> 0:02:31.160 Paralympic Games. What's the one technological innovation that sticks out 0:02:31.200 --> 0:02:34.239 for you over the past few editions of the Olympic Games. 0:02:34.880 --> 0:02:37.560 I will say, for me, it is exactly what you say. 0:02:37.800 --> 0:02:41.080 The drones. I still remember this day. I was actually 0:02:41.200 --> 0:02:44.400 on the field of play in the Olympic stadiums and 0:02:44.480 --> 0:02:47.720 seeing them come up with something amazing. Even though during 0:02:47.760 --> 0:02:51.240 the Olympic Games we always have seen technology innovations and 0:02:51.320 --> 0:02:55.400 really things new and everybody saw before the last innovation 0:02:55.520 --> 0:02:58.960 that we had seen in Japan was actually the satellites 0:02:59.639 --> 0:03:03.440 and to use broadcasting live feeds. So innovation has been 0:03:03.480 --> 0:03:07.480 always at the core of the Olympic Games, and anything new, 0:03:07.680 --> 0:03:09.399 I will say is wait and see and you will 0:03:09.440 --> 0:03:11.000 be odd for what you will see. 0:03:11.720 --> 0:03:15.400 Sarah, I have got you any lasting memories from previous 0:03:15.480 --> 0:03:17.440 Olympic and Paralympic Games. 0:03:17.639 --> 0:03:20.400 I think what I'd say is we're really proud of 0:03:20.639 --> 0:03:23.959 our progress over time, especially when it comes to artificial 0:03:24.000 --> 0:03:27.600 intelligent platforms. When we started in twenty seventeen, we really 0:03:27.639 --> 0:03:31.079 were just demonstrating what was possible, and now we are 0:03:31.440 --> 0:03:37.320 delivering solutions and we've been doing that through helping demonstrate data. 0:03:37.840 --> 0:03:40.880 We did a big thing with artificial intelligent platforms in 0:03:40.920 --> 0:03:44.720 the Olympic Winter Games Beijing twenty twenty two. So, like 0:03:44.840 --> 0:03:48.000 Lario said, I think the ceremonies are a closely kept secret, 0:03:48.080 --> 0:03:50.240 but I'm really excited to see what's going to happen 0:03:50.280 --> 0:03:51.600 on July twenty six. 0:03:52.440 --> 0:03:55.280 And Intel has been a global partner for the Olympic 0:03:55.360 --> 0:03:59.480 and Paralympic Games since Pyeongchang twenty eighteen, making this summer's 0:03:59.600 --> 0:04:02.720 edition in Paris to full time. The company has played 0:04:02.720 --> 0:04:06.520 a role in this biggest event in sport. Why is 0:04:06.560 --> 0:04:08.800 this partnership so important to Intel? 0:04:09.280 --> 0:04:12.480 I think there's a number of reasons, But like you said, 0:04:12.560 --> 0:04:16.120 the Olympic and Paralympic Games, they're massive and they're incredibly 0:04:16.200 --> 0:04:20.240 complex to deliver. So I think why we love it 0:04:20.279 --> 0:04:23.560 is that we're able to demonstrate what we're capable of 0:04:23.680 --> 0:04:26.680 on a really global and massive scale. And we've been 0:04:26.720 --> 0:04:29.600 able to do that through incredible partnerships with people like 0:04:29.680 --> 0:04:34.279 Allario who really help us demonstrate all the different areas 0:04:34.279 --> 0:04:37.719 where we can have impact, whether that be using AI 0:04:37.839 --> 0:04:41.120 platforms through five G and the power of our processing 0:04:41.160 --> 0:04:44.800 and compute. There's so many different aspects where these solutions 0:04:44.800 --> 0:04:49.479 play a role broadcast the incredibly complex operations of delivering 0:04:49.520 --> 0:04:52.120 an event at of scale this size and enhancing the 0:04:52.160 --> 0:04:55.160 fan experience. We have the opportunity to deliver this at 0:04:55.160 --> 0:04:57.120 the Olympic Games, and then we have the opportunity to 0:04:57.120 --> 0:04:59.760 go scale that then these solutions in other areas. 0:05:00.520 --> 0:05:03.920 And you mentioned the magic word AI, and I'm really 0:05:03.920 --> 0:05:06.640 interested in how AI is going to be a factor 0:05:06.680 --> 0:05:10.240 in the Olympic and Paralympic Games. In April, the IOC 0:05:10.480 --> 0:05:13.920 unveiled its plans for using AI during Paris twenty twenty four, 0:05:14.720 --> 0:05:18.120 and the IOC officials said that the AI will help 0:05:18.200 --> 0:05:23.239 identify promising athletes, personalized training methods, and make the Olympic 0:05:23.279 --> 0:05:27.120 and Paralympic Games fairer by improving judging, amongst a lot 0:05:27.200 --> 0:05:30.720 of things. Alario, just how much of a role will 0:05:30.760 --> 0:05:36.320 AI play in the Olympics compared to previous editions, and again, 0:05:36.760 --> 0:05:38.520 which ones are you most excited about? 0:05:39.120 --> 0:05:41.720 This is a fantastic question. So we were asked by 0:05:41.760 --> 0:05:45.040 our president Thomas Bach to come up with what was 0:05:45.080 --> 0:05:49.839 the impact of AI forty Olympic movement FORTIOC forty Olympic Games, 0:05:50.480 --> 0:05:53.120 and it became very clear, very quickly that it was 0:05:53.160 --> 0:05:55.839 a very large tusk and we needed to kind of 0:05:55.839 --> 0:06:00.359 gather opinions and other inputs from other people. We have 0:06:00.440 --> 0:06:04.520 done a fantastic work in Senegal with Intel trying to 0:06:04.760 --> 0:06:09.280 understand the impact of athletes identifications and how they can 0:06:09.320 --> 0:06:13.039 be found in remote locations and remote locations does not 0:06:13.160 --> 0:06:16.600 just imply being in Senegal or any other countries. And 0:06:16.640 --> 0:06:20.320 we tested over a thousand promising athletes and we found 0:06:20.400 --> 0:06:24.480 forty there were top athletes and regarding for these Olympic Games, 0:06:24.600 --> 0:06:27.400 what we worked on with Intel is digital twinning and 0:06:27.440 --> 0:06:32.240 digital twining really help the organizations and the IOC understand 0:06:32.279 --> 0:06:36.280 better how we can plan better given from an a 0:06:36.400 --> 0:06:39.200 venue out the flow of people would be done from 0:06:39.240 --> 0:06:41.680 a broadcasting standpoint, which are the best camera angles to 0:06:41.800 --> 0:06:46.320 use everything, and really this revolutionizes how a large sporting 0:06:46.360 --> 0:06:49.200 event can be done without traveling, without meeting on personal 0:06:49.240 --> 0:06:51.919 and doing all these virtually. The other one that we 0:06:51.960 --> 0:06:54.800 are working as well there it is cyber abuse is 0:06:54.839 --> 0:06:57.320 a very big topic for US safe sports and it 0:06:57.440 --> 0:06:59.760 is a very very interesting as well. And there is 0:06:59.800 --> 0:07:02.640 a area of outer use cases that you will see 0:07:03.000 --> 0:07:05.120 and many of them we have done in partnership with 0:07:05.200 --> 0:07:08.320 Intel and through all of their solutions. 0:07:08.400 --> 0:07:12.120 And So what excites you about these AI innovations, in 0:07:12.160 --> 0:07:15.840 particular the way Intel providing their support. 0:07:16.560 --> 0:07:18.679 I think there's so many and we're just seeing things 0:07:18.720 --> 0:07:22.120 move so fast and there's so many different applications. One 0:07:22.120 --> 0:07:24.400 of the examples I really love is the work we're 0:07:24.440 --> 0:07:28.600 doing to use Intel's AI platforms to create AI generated highlights. 0:07:29.040 --> 0:07:33.840 So we're working with Olympic broadcasting services to create highlights 0:07:33.840 --> 0:07:37.080 that otherwise just wouldn't have been possible. It's enhancing the 0:07:37.080 --> 0:07:40.520 broadcast experience. So it's not just an efficiency opportunity, it's 0:07:40.600 --> 0:07:43.960 opportunity to create new opportunities for that fan at home 0:07:44.240 --> 0:07:46.120 to really experience the Olympic Games. 0:07:46.440 --> 0:07:49.320 So would an example be, you know, you might be 0:07:49.360 --> 0:07:52.280 interested in volleyball and you're just interested in the particular 0:07:52.360 --> 0:07:55.880 highlights from the French team. You know, potentially that's how 0:07:56.040 --> 0:07:57.000 an AI could. 0:07:56.840 --> 0:08:01.800 Be used exactly. Or you really like archery and typically 0:08:01.840 --> 0:08:04.720 that wouldn't be the focus where the broadcasters could spend 0:08:04.720 --> 0:08:06.800 their time, but now it's much easier to create that, 0:08:06.920 --> 0:08:09.240 so you can really see all the best shots, so 0:08:09.360 --> 0:08:09.800 to speak. 0:08:10.200 --> 0:08:12.680 Yeah, and I just want to turn a little bit 0:08:12.880 --> 0:08:17.320 now to the athletes experience and how the AI movement 0:08:17.760 --> 0:08:20.760 affects the way that they train and compete. There was 0:08:20.800 --> 0:08:24.160 a quote from the US Olympic gold medalist skier lindzy 0:08:24.200 --> 0:08:28.160 Vonn said recently that AI won't replace athletes or coaches, 0:08:28.280 --> 0:08:32.400 but it'll supercharge analytical methods for athletes and can be 0:08:32.480 --> 0:08:36.040 used as a positive way to perform better. Alari, can 0:08:36.080 --> 0:08:38.240 you give us an example of how AI is currently 0:08:38.320 --> 0:08:40.160 being used by athletes? 0:08:40.920 --> 0:08:43.760 Definitely, and a great example could be the use of 0:08:44.000 --> 0:08:49.400 AI in biomechanics and athletes in discipline such a gymnastic 0:08:49.440 --> 0:08:51.520 and diving and using a to analyze their movements. This 0:08:51.760 --> 0:08:55.079 is opening today and it is really impressive what it 0:08:55.120 --> 0:08:58.120 can be done. And actually one other one that we 0:08:58.160 --> 0:09:01.240 are starting to work on it is how AI can 0:09:01.240 --> 0:09:05.600 actually predict injuries for an athlete, and there is actually 0:09:05.720 --> 0:09:08.800 methodologies that actually you can understand that an athlete is 0:09:08.840 --> 0:09:11.000 going to get an injury on the scaf or wherever 0:09:11.240 --> 0:09:14.040 it will be. So thesis really does not an anst 0:09:14.040 --> 0:09:17.560 their ability to perform, but actually makes themselves safer and 0:09:17.600 --> 0:09:20.120 actually prolong their careers, which will be great. 0:09:20.920 --> 0:09:22.960 And so what have you seen in terms of the 0:09:23.040 --> 0:09:28.600 feedback or the attitude towards AI from coaches and athletes. 0:09:29.440 --> 0:09:33.240 Athletes and coaches love data, and they love actionable data, 0:09:33.640 --> 0:09:36.720 and if they can get data in real time to 0:09:36.800 --> 0:09:40.080 help them change and adjust, they love that. So I 0:09:40.120 --> 0:09:42.360 think there's a lot of open mind as to it 0:09:42.400 --> 0:09:46.440 and excitement around it to really use this technology to 0:09:46.559 --> 0:09:49.080 help them and figure out what's that one thing that 0:09:49.120 --> 0:09:50.160 can help them get ahead. 0:09:50.840 --> 0:09:54.080 Is it an example you could give that could solidify 0:09:54.120 --> 0:09:59.319 in our listeners' minds about a practical story around using 0:09:59.400 --> 0:10:02.240 AI that could just basically help us paint a picture 0:10:02.280 --> 0:10:04.320 of what actually they'd be using. 0:10:05.080 --> 0:10:08.480 There's lots of different examples, but if you think about training, 0:10:08.559 --> 0:10:11.400 it's a lot of repetitive tasks, and if you can 0:10:11.559 --> 0:10:16.559 use computer vision using AI platforms, you can start to analyze, 0:10:16.600 --> 0:10:21.480 like Alario mentioned before, using biomechanical information, and you can 0:10:21.600 --> 0:10:25.560 understand how that movement is changing over time or adjusting 0:10:25.600 --> 0:10:28.560 over time. So it enables the athletes to make tweaks. 0:10:28.800 --> 0:10:32.240 And we've seen this through throwing, through speed skating, and 0:10:32.320 --> 0:10:34.679 other sports where athletes have been able to use that data, 0:10:35.000 --> 0:10:38.400 understand what they're doing different and make tweaks. The other 0:10:38.440 --> 0:10:41.680 really interesting thing about what this can do is it 0:10:41.720 --> 0:10:44.280 can help identify things that you weren't really thinking about 0:10:44.280 --> 0:10:48.319 before because the algorithms are learning and pulling out new 0:10:48.320 --> 0:10:51.000 information and can really say, you know, it's not a 0:10:51.200 --> 0:10:54.680 that's really impacting the distance of the throw as an example, 0:10:54.880 --> 0:10:57.280 it's really B and sometimes with the naked eye that 0:10:57.360 --> 0:11:00.760 hasn't been possible. But through AI platforms, this is starting 0:11:00.760 --> 0:11:03.680 to be something we're seeing that's quite interesting. 0:11:03.920 --> 0:11:06.000 And if you could just sort of maybe describe a 0:11:06.040 --> 0:11:10.040 little bit about the technology that's used to help identify 0:11:10.400 --> 0:11:13.640 some of the Olympic hopefuls so that they can actually 0:11:13.679 --> 0:11:17.520 make it and help them make it to the big stage. 0:11:18.040 --> 0:11:22.400 Sure, we have developed this technology through something called three 0:11:22.480 --> 0:11:26.880 D Athlete Tracking or three DOT. This enables computer vision 0:11:27.440 --> 0:11:30.720 data to be captured using AI platforms and it takes 0:11:30.760 --> 0:11:35.400 that real time data and provides three D sports biomechanics reporting. 0:11:36.080 --> 0:11:39.880 We use a variety of our Intel AI platform stack 0:11:39.960 --> 0:11:44.320 to enable this, including hardware and software solutions. So we're 0:11:44.400 --> 0:11:49.000 using Intel Xeon and Core processors. They're using open Vino, 0:11:49.080 --> 0:11:52.080 which is our open source technology to help do that. 0:11:52.440 --> 0:11:57.000 All being driven for efficiency using Intel Goudy AI accelerators. 0:11:57.240 --> 0:12:01.320 So it's really demonstrating all the goodness that Intel can 0:12:01.400 --> 0:12:04.360 help through every step of an AI solution. 0:12:05.240 --> 0:12:08.960 And Lario, have you heard of any specific examples of 0:12:09.000 --> 0:12:11.800 where the athletes are really excited about this in terms 0:12:11.840 --> 0:12:13.959 of for their training and competition. 0:12:14.280 --> 0:12:17.480 They are definitely excited. If our listener want to go 0:12:17.640 --> 0:12:19.960 on YouTube and we look at the Olympic Agenda launch, 0:12:20.360 --> 0:12:22.559 you can actually see some of the athletes that were 0:12:22.600 --> 0:12:26.199 part of our Olympic AI working group and James Ayckel 0:12:26.280 --> 0:12:29.200 and Alistair Brownby make real examples of how they've been 0:12:29.320 --> 0:12:32.240 using it and learning from it, which has been fantastic. 0:12:32.800 --> 0:12:34.560 A truly belief that what we have done it is 0:12:34.880 --> 0:12:37.640 a great things that actually can transform to world of sports. 0:12:37.800 --> 0:12:40.880 And if you think about our motto, which is make 0:12:41.160 --> 0:12:44.040 the world better true sports, we will be really embodying 0:12:44.080 --> 0:12:46.080 this with Intel as our partner as well. 0:12:46.559 --> 0:12:49.360 And Sarah, I'd like your thoughts around the use of 0:12:49.400 --> 0:12:52.840 Intel technology and AI technology in general. You know, my 0:12:52.960 --> 0:12:56.640 belief is that these sorts of technologies will become cheaper 0:12:56.640 --> 0:13:01.480 and more widespread for larger numbers of nations. I would 0:13:01.480 --> 0:13:03.079 like your thoughts on that trend. 0:13:03.760 --> 0:13:08.880 You're absolutely right. I think this technology enable to access 0:13:09.080 --> 0:13:12.040 around the world. It sounds super complex and in the 0:13:12.080 --> 0:13:14.440 back end and the algorithms, of course they are, but 0:13:14.559 --> 0:13:18.280 the ability to reach far and wide are not that complex. 0:13:18.320 --> 0:13:22.760 It's done through very simple measures like a mobile phone 0:13:23.120 --> 0:13:26.080 to capture that data, and so that can be really 0:13:26.120 --> 0:13:29.280 done really easily and really not at a really cost 0:13:29.280 --> 0:13:31.640 prohibitive place. And the more you do something, you get 0:13:31.640 --> 0:13:34.600 the benefits of scale. So I'm really hopeful that we 0:13:34.720 --> 0:13:39.120 are going to help athletes around the world and children 0:13:39.160 --> 0:13:42.600 around the world discover sport, enjoy sport, find something they're 0:13:42.600 --> 0:13:45.480 passionate about. I think there's a real ability to connect 0:13:45.480 --> 0:13:48.320 to people through sport that we have an opportunity to 0:13:48.320 --> 0:13:49.120 help influence. 0:13:51.400 --> 0:13:54.480 Coming out next on Technically Speaking and Intel podcast. 0:13:55.200 --> 0:13:57.920 People want answers and they want to understand things, and 0:13:58.080 --> 0:14:01.960 having AI enable that can really help people know more 0:14:02.000 --> 0:14:04.320 about the intricacies of the sport. I think it's going 0:14:04.360 --> 0:14:06.960 to be really interesting to watch this evolve over time. 0:14:07.320 --> 0:14:09.360 We'll be right back after a brief message from our 0:14:09.440 --> 0:14:20.680 partners at Intel, Welcome back to Technically Speaking, an Intel Podcast. 0:14:21.000 --> 0:14:24.400 I'm here now with Lario Corner, the Chief Information Technology 0:14:24.440 --> 0:14:28.080 Officer at the International Olympic Committee, and Sarah Vickers head 0:14:28.080 --> 0:14:34.200 of Intel's Olympic and Paralympic Games program. I want to 0:14:34.240 --> 0:14:38.680 swing this around to the fan experience, particularly for those 0:14:38.720 --> 0:14:41.560 who are lucky enough to attend the Olympic and Paralympic 0:14:41.560 --> 0:14:45.000 Games in twenty twenty four. Lario, what do you think 0:14:45.040 --> 0:14:48.080 is the most compelling way technology will change the way 0:14:48.240 --> 0:14:50.720 viewers experience these events in person? 0:14:51.440 --> 0:14:54.400 We are going to deploy with Intel a chadbot for fans. 0:14:55.080 --> 0:14:59.200 We have augmented broadcasting data with analytics that we will 0:14:59.240 --> 0:15:02.280 be having their We will have an AI lab for 0:15:02.400 --> 0:15:04.880 them to experience, which is an Intel AI lab, which 0:15:04.920 --> 0:15:08.080 would be fantastic. I had the luck to experience unt 0:15:08.360 --> 0:15:11.760 Olympic I Agenda Launch is even better for Paris twenty four. 0:15:12.400 --> 0:15:15.160 There would be a new platform that was co developed 0:15:15.160 --> 0:15:17.920 with Intel for a fun experience which would be amazing. 0:15:18.440 --> 0:15:20.840 And the automatic highlights that Sarah mentioned before. 0:15:21.680 --> 0:15:24.200 We've talked a little bit about the digital tweeting at 0:15:24.240 --> 0:15:27.560 the Olympic and Paralympic Games in Paris in twenty twenty four. 0:15:27.920 --> 0:15:30.240 Can you just explain a little bit about how Intel's 0:15:30.280 --> 0:15:33.480 involved in the technology that's being used to pile this. 0:15:34.520 --> 0:15:38.480 Sure, Intel's working very closely with the Organizing Committee and 0:15:38.520 --> 0:15:42.600 the broadcasters on delivering a digital twin solution. This is 0:15:42.680 --> 0:15:45.840 powered by Intel zon processors, so it takes a lot 0:15:45.840 --> 0:15:49.800 of compute. There's a lot of images and video and content, 0:15:50.400 --> 0:15:52.680 and it really needs the power of Intel to be 0:15:52.760 --> 0:15:55.600 able to be efficient and work for all the parties. 0:15:55.920 --> 0:15:58.240 What it does is you can do scenario planning, right, 0:15:58.240 --> 0:16:01.400 so you can say, if we are getting too much 0:16:01.480 --> 0:16:05.000 volume through this entryway, could we open another door and 0:16:05.040 --> 0:16:07.560 what would that do to flow? How do we optimize 0:16:07.600 --> 0:16:10.080 and direct people so we're not getting too many people 0:16:10.200 --> 0:16:12.120 entering at the right time. So it's really helping them 0:16:12.160 --> 0:16:15.480 be smarter about what they're planning. I think in the 0:16:15.480 --> 0:16:17.920 future you'll see some more real time application of that, 0:16:18.000 --> 0:16:20.600 so real time data to help you make those decisions. 0:16:21.000 --> 0:16:23.560 I think it helps both from a safety perspective, but 0:16:23.560 --> 0:16:26.400 it also helps with a fan experience, right. No one 0:16:26.400 --> 0:16:28.640 wants to wait in line. They want to be at 0:16:28.640 --> 0:16:31.360 the field seeing the action, and if we can help 0:16:31.760 --> 0:16:35.360 with that through really smart planning through Digital twenty, it's 0:16:35.400 --> 0:16:35.960 a win win. 0:16:36.720 --> 0:16:41.040 Okay. Just turning towards now the person viewing from home. 0:16:41.600 --> 0:16:44.800 First of all, Lario, what are some of the things 0:16:44.840 --> 0:16:48.240 that the viewers at home should look out for that 0:16:48.280 --> 0:16:52.040 will really enhance the experience watching the Olympic Games. 0:16:52.480 --> 0:16:54.400 That's a great question, and I think the good and 0:16:54.480 --> 0:16:58.120 thread of these discussions is these data and really processing 0:16:58.240 --> 0:17:01.000 all of the information that we get gathered from all 0:17:01.040 --> 0:17:03.000 of the athletes that we actually have on the field 0:17:03.000 --> 0:17:05.560 of play, will be able to provide more data and 0:17:05.600 --> 0:17:10.280 analytics to actually experience better these Olympic Games. And the 0:17:10.359 --> 0:17:14.439 ability to have more content available readily for all of 0:17:14.440 --> 0:17:17.760 our people, for all of our fans, it will be fantastic. 0:17:18.040 --> 0:17:20.240 So this is really what we're trying to do. It 0:17:20.280 --> 0:17:23.760 is this immediacy that will be provided to these fans. 0:17:24.160 --> 0:17:26.480 In addition these actually for the people that will be 0:17:26.480 --> 0:17:28.800 in Paris, there will be a lot more experiences that 0:17:28.800 --> 0:17:31.120 will be able to do in the field of play 0:17:31.119 --> 0:17:33.720 and stuff like that. There is actually one thing that 0:17:33.720 --> 0:17:36.680 I will remind you it is Paris twenty twenty four 0:17:36.800 --> 0:17:40.240 will be a centenniary because the last Olympic Games that 0:17:40.320 --> 0:17:42.600 were held there. If we're in nineteen twenty four in 0:17:42.640 --> 0:17:46.400 Paris as well, and that we have video footage of that, 0:17:46.440 --> 0:17:48.800 and it will be interesting how we can integrate into 0:17:48.840 --> 0:17:51.359 the experience show that the people will see at them. 0:17:52.040 --> 0:17:55.040 You can have a visual virtual runner from nineteen twenty 0:17:55.040 --> 0:17:58.439 four running next to the current athlete. 0:17:58.280 --> 0:18:01.359 Or a comparison to see how athletes have changed. 0:18:01.840 --> 0:18:04.520 Yeah, that's right, and you have a bit of a 0:18:04.640 --> 0:18:07.920 history in broadcasting, maybe you could just talk a little 0:18:07.960 --> 0:18:12.160 bit about how these analytics can actually help the journalists, 0:18:12.200 --> 0:18:17.240 the sports broadcasters actually help deliver that new experience, that 0:18:17.400 --> 0:18:22.080 new use of data to enhance the broadcast itself. 0:18:22.800 --> 0:18:25.320 If you think about all the events, all the sports 0:18:25.359 --> 0:18:29.040 that are present in the Olympic Games in pairs, it 0:18:29.040 --> 0:18:31.600 will be the largest one that we had so far. 0:18:31.960 --> 0:18:34.600 And one of the questions I have and I experienced, 0:18:34.640 --> 0:18:37.880 these commentator have a lot to prepare on and these 0:18:37.920 --> 0:18:40.600 all of these research gets done ahead of time. So 0:18:40.680 --> 0:18:42.920 one thing that we are trying to understand it is 0:18:42.920 --> 0:18:46.320 how can we create systems that actually will prepare all 0:18:46.320 --> 0:18:51.080 the informations that actually will understand how the heat in 0:18:51.119 --> 0:18:54.720 the hurdles four hundred meters works so that there is 0:18:54.840 --> 0:18:58.800 a lot less preparations. How can we provide clips from 0:18:58.920 --> 0:19:02.080 fill the place that are up somewhere else so that 0:19:02.119 --> 0:19:05.400 they can actually introduce it and make more colorful all 0:19:05.440 --> 0:19:08.439 of these sessions for all the people at home. I 0:19:08.440 --> 0:19:10.199 think that that's one thing that we are working on 0:19:10.240 --> 0:19:13.119 and focusing on to really you know, make this a 0:19:13.200 --> 0:19:15.480 much more you know, immersive experience. 0:19:16.119 --> 0:19:18.720 Interesting said that, because in the software world it's all 0:19:18.760 --> 0:19:22.080 about COI pilots. Now AI co pilots, it'd be interesting 0:19:22.119 --> 0:19:24.879 to have a journalist COI pilot that is right, that 0:19:25.000 --> 0:19:27.080 they can ask any sort of question or bring up 0:19:27.080 --> 0:19:27.919 any highlights. 0:19:28.280 --> 0:19:31.080 Great point, and this is why we are trying to understand. 0:19:31.240 --> 0:19:33.760 You know, if you talk about having the Olympic GPT 0:19:34.640 --> 0:19:37.000 and our private LM, this is something that we are 0:19:37.000 --> 0:19:40.880 really starting very quickly because it's you know l ELM 0:19:40.960 --> 0:19:44.280 out there together data from anywhere, and if they get used, 0:19:44.640 --> 0:19:48.159 we might have wrong information being broadcasted. So we are 0:19:48.200 --> 0:19:50.679 really taking this very seriously to make sure that the 0:19:50.720 --> 0:19:55.960 information that commentator gathers comes from a trust source, and 0:19:56.040 --> 0:19:57.720 that trust or source should be DIOC. 0:19:58.520 --> 0:20:01.920 Sarah, do you have any thoughts on what Alaria just 0:20:01.960 --> 0:20:06.160 said in terms of Olympic Games GPD type approach. 0:20:07.000 --> 0:20:10.200 I mean, I think it's what people are getting used to, right, 0:20:10.240 --> 0:20:13.520 They're used to instant answers and answers that really can 0:20:13.560 --> 0:20:16.600 help them, And I think if we can help broadcasters 0:20:16.760 --> 0:20:19.760 with the right information, it's going to make their jobs easier. 0:20:19.800 --> 0:20:22.600 They're going to tell more interesting and relevant stories. And 0:20:22.640 --> 0:20:25.200 it can be happening in real time, so if new 0:20:25.200 --> 0:20:27.600 information is coming in, it can be added in. It 0:20:27.640 --> 0:20:30.680 doesn't need to wait until that cycles through. So I 0:20:30.680 --> 0:20:33.480 think it's really exciting. And I think from a fan 0:20:33.560 --> 0:20:36.800 experience perspective at home, Alero hit the nail on the head. 0:20:36.800 --> 0:20:38.960 There's so much data. What do you do with that 0:20:39.080 --> 0:20:42.439 data that makes that experience more relevant? People want answers 0:20:42.480 --> 0:20:45.399 and they want to understand things, and having that AI 0:20:46.160 --> 0:20:49.919 enable that can really help people know more about the sport, 0:20:50.040 --> 0:20:52.520 know more about the intricacies of the sport. I think 0:20:52.520 --> 0:20:54.919 it's going to be really interesting to watch this evolve 0:20:54.960 --> 0:20:55.520 over time. 0:20:56.080 --> 0:20:58.560 For me personally, I like to know the athlete story 0:20:58.560 --> 0:21:01.479 of how they maybe got discovered and it built up 0:21:01.520 --> 0:21:03.560 and they made it into the final of the one 0:21:03.600 --> 0:21:04.560 hundred meter sprint. 0:21:04.800 --> 0:21:07.520 Yeah, it's the beauty of the Olympic and Paralympic Games 0:21:07.560 --> 0:21:10.440 and what it does. It's a real personal experience for 0:21:10.520 --> 0:21:13.240 the fan at home because they connect to those stories 0:21:13.280 --> 0:21:15.080 and really root for those athletes. And if we can 0:21:15.080 --> 0:21:17.560 help that and make that connection even tighter, it's an 0:21:17.600 --> 0:21:18.160 amazing thing. 0:21:18.880 --> 0:21:23.399 I'm really keen to see how technology can improve accessibility 0:21:23.680 --> 0:21:26.920 universally and make it easier for everyone to enjoy Paris 0:21:26.960 --> 0:21:30.600 twenty twenty four, both at home and in person. Sarah, 0:21:30.640 --> 0:21:33.359 perhaps you could talk a little bit about some of 0:21:33.359 --> 0:21:38.040 the technology around that to help the accessibility part of 0:21:38.359 --> 0:21:40.480 the Olympic and Paralympic Games. 0:21:41.160 --> 0:21:43.760 Sure, I can give some examples of what we're doing, 0:21:43.800 --> 0:21:45.560 but I can also give examples of where I think 0:21:45.600 --> 0:21:49.000 it's going, because I think this is a real opportunity 0:21:49.040 --> 0:21:51.520 to help improve the fan experience and we're at the 0:21:51.520 --> 0:21:54.040 tip of the iceberg. I think if you think about 0:21:54.080 --> 0:21:58.240 accessibility in general, digital twining is another great example of 0:21:58.359 --> 0:22:02.080 how that can help with ensuring that there's no barriers 0:22:02.240 --> 0:22:05.720 movement is done having that information in advance. We've heard 0:22:05.840 --> 0:22:09.159 from our partners at the Paralympic Committee how that's helped 0:22:09.359 --> 0:22:13.120 make things more efficient for people moving around. Another example 0:22:13.160 --> 0:22:17.000 of what we're doing is we're actually using AI platforms 0:22:17.080 --> 0:22:21.840 to help scan areas ahead of time and then have 0:22:22.240 --> 0:22:25.760 a visually impaired person be guided through without having a 0:22:25.800 --> 0:22:28.919 guide with them. But using technology speaking to them and 0:22:28.960 --> 0:22:32.240 helping them understand where the restroom is, where they need 0:22:32.280 --> 0:22:36.000 to turn, etc. So they become more independent. We would 0:22:36.040 --> 0:22:38.560