1 00:00:00,280 --> 00:00:03,760 Speaker 1: This is the business of sports. Should Major League Baseball 2 00:00:04,000 --> 00:00:06,840 Speaker 1: shorten up the season? How do we present football to 3 00:00:06,920 --> 00:00:08,920 Speaker 1: the audience of the future. I don't think that most 4 00:00:08,920 --> 00:00:12,040 Speaker 1: players understand the power that they have. Michael. The future 5 00:00:12,080 --> 00:00:15,920 Speaker 1: of IndyCar racing is looking bright. Scott Sahn very basic 6 00:00:16,000 --> 00:00:18,959 Speaker 1: math here, more bidders means more money. Evan Nobody Williams. 7 00:00:18,960 --> 00:00:22,079 Speaker 1: The team value has essentially quadruples. And the leaders in 8 00:00:22,120 --> 00:00:25,480 Speaker 1: the sports industry. Time to bring in our guest, Alstimbrunner, 9 00:00:25,600 --> 00:00:29,320 Speaker 1: National Hockey League Commissioner Gary Betman, Atlanta Braves president Derek Schiller, 10 00:00:29,400 --> 00:00:35,320 Speaker 1: Patriots President Jonathan Kraft. Bloomberg Business of Sports from Bloomberg Radio. Hello, 11 00:00:35,360 --> 00:00:38,000 Speaker 1: I'm Michael Blong and I'm having Novie Williams. Over the 12 00:00:38,040 --> 00:00:40,600 Speaker 1: next hour, we will explore the big money issues in 13 00:00:40,600 --> 00:00:42,199 Speaker 1: the world of sports and talk to some of the 14 00:00:42,200 --> 00:00:45,320 Speaker 1: biggest players in the industry. Scottsnik will join us later 15 00:00:45,440 --> 00:00:48,760 Speaker 1: for our interview with Intel sports heads Sean Bryant. When 16 00:00:48,760 --> 00:00:53,280 Speaker 1: you think about kind of capturing, moving, manipulating and processing data, 17 00:00:53,600 --> 00:00:57,160 Speaker 1: one of the greatest bandwidth users of that is content 18 00:00:57,280 --> 00:00:59,880 Speaker 1: from sports video. And we really want to position our 19 00:01:00,000 --> 00:01:02,520 Speaker 1: it helps to be part of that evolution. But first 20 00:01:02,520 --> 00:01:03,920 Speaker 1: Michael and I will look at some of the top 21 00:01:03,960 --> 00:01:06,800 Speaker 1: stories of the week. Well, let's start with Texas and 22 00:01:06,840 --> 00:01:10,800 Speaker 1: the athletics program. There's more than two hundred nineteen million 23 00:01:10,840 --> 00:01:13,840 Speaker 1: dollars in revenue. WHOA, My goodness, looks like my balance 24 00:01:13,840 --> 00:01:16,560 Speaker 1: sheet when I opened up Bank of America. But you 25 00:01:16,600 --> 00:01:20,240 Speaker 1: don't have Bevo Man. That's something fact staring at you. Man. 26 00:01:20,319 --> 00:01:24,520 Speaker 1: It's like, hey, that's obviously they're very successful. Yeah, we're 27 00:01:24,560 --> 00:01:27,000 Speaker 1: getting to the time of year where athletic departments around 28 00:01:27,000 --> 00:01:29,840 Speaker 1: the country start declaring their revenue for the previous year. 29 00:01:30,319 --> 00:01:33,800 Speaker 1: As you mentioned, Texas more than two hundred nineteen million 30 00:01:33,840 --> 00:01:36,960 Speaker 1: in revenue in fiscal year eighteen. They spent over two 31 00:01:37,080 --> 00:01:39,440 Speaker 1: hundred as well. Uh, second year in a row they've 32 00:01:39,480 --> 00:01:42,760 Speaker 1: been over two hundred for both expenses and revenue. This 33 00:01:42,840 --> 00:01:45,280 Speaker 1: to nineteen is a is a record for a modern 34 00:01:45,400 --> 00:01:48,520 Speaker 1: day athletic department or athtic department. Ever, let's move on 35 00:01:48,560 --> 00:01:52,960 Speaker 1: now to We Love our Sports on TV. Last year, 36 00:01:53,280 --> 00:01:56,720 Speaker 1: with the resurgence of the NFL, and it was an 37 00:01:56,760 --> 00:02:00,720 Speaker 1: Olympic year, it was dominant for viewership. I love this 38 00:02:00,760 --> 00:02:04,160 Speaker 1: Sports Business Journal puts out this hundred most watched telecasts 39 00:02:04,160 --> 00:02:07,280 Speaker 1: of the year every year, and you know, sports is dominant, 40 00:02:07,360 --> 00:02:10,480 Speaker 1: but the trend is going upward. You know, we talked 41 00:02:10,480 --> 00:02:12,720 Speaker 1: so much about how, you know, cord cutters, how the 42 00:02:12,800 --> 00:02:17,880 Speaker 1: changing media model is affecting cable TV and TV in general. 43 00:02:18,440 --> 00:02:20,880 Speaker 1: But the truth is that the newer model, the model 44 00:02:20,919 --> 00:02:23,720 Speaker 1: we have now in two thousand, sports is actually more 45 00:02:23,760 --> 00:02:26,760 Speaker 1: important last year sports for one of the top hunter 46 00:02:26,880 --> 00:02:30,040 Speaker 1: telecasts this year it's eight. You know, it just highlights 47 00:02:30,080 --> 00:02:33,680 Speaker 1: this is the reason why, uh, this changing media landscape 48 00:02:33,720 --> 00:02:37,079 Speaker 1: hasn't meant less money for sports broadcast rights is because 49 00:02:37,120 --> 00:02:39,600 Speaker 1: in this new environment they're even more important than they 50 00:02:39,600 --> 00:02:43,240 Speaker 1: were before. If let's say, for instance, because this is 51 00:02:43,280 --> 00:02:47,639 Speaker 1: the big A f C, NFC Championship weekend, what happens 52 00:02:47,800 --> 00:02:51,919 Speaker 1: if New England beats Case and once again they make 53 00:02:51,919 --> 00:02:54,880 Speaker 1: it to the Super Bowl. Do you think people will 54 00:02:55,000 --> 00:02:58,239 Speaker 1: tune in record viewership to the Super Bowl or do 55 00:02:58,280 --> 00:02:59,600 Speaker 1: you think it will be down a bit? I think 56 00:02:59,600 --> 00:03:00,880 Speaker 1: it's going to be I mean, I don't know if 57 00:03:00,919 --> 00:03:02,679 Speaker 1: they're going to eclipse the record that they hit a 58 00:03:02,680 --> 00:03:04,520 Speaker 1: couple of years ago, but it's gonna be high. You know, 59 00:03:04,560 --> 00:03:07,480 Speaker 1: the as we talked about last week, I think the 60 00:03:07,560 --> 00:03:10,760 Speaker 1: four teams left are they can't go wrong now, you 61 00:03:10,800 --> 00:03:12,880 Speaker 1: know the You know, you either get Tom Brady, the 62 00:03:12,880 --> 00:03:15,240 Speaker 1: most famous player in your league, in the Super Bowl again, 63 00:03:15,639 --> 00:03:19,079 Speaker 1: or you get Pat Mahomes, the up and coming stud 64 00:03:19,120 --> 00:03:21,040 Speaker 1: that everyone wants to see play more. You know, so 65 00:03:21,080 --> 00:03:23,280 Speaker 1: that's the a f C. In the NFC, you're gonna 66 00:03:23,320 --> 00:03:26,040 Speaker 1: get the upstart Rams, who are fun to watch right 67 00:03:26,040 --> 00:03:27,919 Speaker 1: and their game against Kansas City I think might have 68 00:03:27,960 --> 00:03:30,880 Speaker 1: been the most watched non Thanksgiving regular season game of 69 00:03:30,880 --> 00:03:33,480 Speaker 1: the year. Or you're gonna get the Saints, you know, 70 00:03:33,560 --> 00:03:36,240 Speaker 1: who are breezes a great story. They've got a huge 71 00:03:36,240 --> 00:03:39,240 Speaker 1: fan base. Uh there, that's close to Atlanta where the 72 00:03:39,240 --> 00:03:41,120 Speaker 1: super Bowl is, so so they're not gonna go wrong 73 00:03:41,400 --> 00:03:43,440 Speaker 1: either way. And looking at this this list though, top 74 00:03:43,560 --> 00:03:45,840 Speaker 1: under broadcast, I'm curious here, how far do you think 75 00:03:45,880 --> 00:03:47,920 Speaker 1: you have to go to find a sporting event that's 76 00:03:47,920 --> 00:03:50,560 Speaker 1: not football or the Olympics. I bet you would have 77 00:03:50,600 --> 00:03:53,840 Speaker 1: to go at least for down to at least past 78 00:03:54,560 --> 00:03:57,880 Speaker 1: for one of the Calves Warriors games from the NBA Finals. 79 00:03:58,120 --> 00:04:00,920 Speaker 1: That's why there You think about why you know why 80 00:04:00,960 --> 00:04:03,560 Speaker 1: the NBC continues to pay billions of dollars for the Olympics. 81 00:04:03,800 --> 00:04:07,160 Speaker 1: There were five Olympic broadcasts that were more more watched 82 00:04:07,160 --> 00:04:09,680 Speaker 1: than than the most watched NBA game of the year. 83 00:04:10,120 --> 00:04:12,640 Speaker 1: It's it's amazing to me. The top hundred list, there's 84 00:04:12,680 --> 00:04:16,400 Speaker 1: only one Major League Baseball game. There's obviously no NHL game. 85 00:04:16,920 --> 00:04:19,560 Speaker 1: The most rotch non sports broadcast of the year was 86 00:04:19,720 --> 00:04:22,799 Speaker 1: This is Us episode million, and it was the episode 87 00:04:22,839 --> 00:04:25,720 Speaker 1: that directly followed the Super Bowl, right, so you can 88 00:04:25,760 --> 00:04:27,599 Speaker 1: see the direct tie to at least some of that 89 00:04:27,920 --> 00:04:31,039 Speaker 1: of that viewership. It's amazing how much sports continues to 90 00:04:31,960 --> 00:04:34,559 Speaker 1: both continues to dominate and takes up more and more 91 00:04:35,120 --> 00:04:38,640 Speaker 1: of the TV watching pie let's move on now. Oh 92 00:04:38,680 --> 00:04:44,279 Speaker 1: my goodness, uh, Scott's son, my son, and all the 93 00:04:44,320 --> 00:04:47,480 Speaker 1: parents out there like, oh, no, maker, one of the 94 00:04:47,520 --> 00:04:53,200 Speaker 1: world's most popular video games, Fortnite, says users credit card 95 00:04:53,240 --> 00:04:56,159 Speaker 1: information may have been exposed. Yeah. Another another one of 96 00:04:56,200 --> 00:04:59,640 Speaker 1: these fishing hacks where uh, people found out an old 97 00:05:00,000 --> 00:05:02,360 Speaker 1: web site that Epic Games, the Fortnite maker was using, 98 00:05:02,680 --> 00:05:04,760 Speaker 1: sent out these emails that has a link that makes 99 00:05:04,760 --> 00:05:06,960 Speaker 1: it look like you're clicking through a link sent by 100 00:05:07,200 --> 00:05:10,040 Speaker 1: Epic Games, but you're not um and through that they 101 00:05:10,080 --> 00:05:13,120 Speaker 1: were able to get user information including credit cards. UM. 102 00:05:13,120 --> 00:05:15,599 Speaker 1: And as you know, because your your kids play, that's 103 00:05:15,600 --> 00:05:18,360 Speaker 1: a lot of a lot of parents. Credit card information 104 00:05:18,800 --> 00:05:21,680 Speaker 1: UM set up, but oftentimes set up by by by 105 00:05:21,760 --> 00:05:25,200 Speaker 1: kids who don't fully understand the importance of things like uh, 106 00:05:25,520 --> 00:05:29,680 Speaker 1: separate passwords are are harder to crack, passwords, etcetera. UM. 107 00:05:29,880 --> 00:05:32,680 Speaker 1: This is I'm sure everyone in the in the gaming world, 108 00:05:33,520 --> 00:05:37,520 Speaker 1: outside of even just games, across business people are taking 109 00:05:37,560 --> 00:05:39,320 Speaker 1: a look at this and saying, Okay, we need to 110 00:05:39,320 --> 00:05:42,360 Speaker 1: make sure that stuff like this doesn't happen to us. Yeah, 111 00:05:42,400 --> 00:05:45,120 Speaker 1: and this is a way more than just about Fortnite. 112 00:05:45,120 --> 00:05:48,200 Speaker 1: We're talking about an impact on the sports in general. Yeah, 113 00:05:48,200 --> 00:05:51,080 Speaker 1: for sure. And and Fortnite is, you know, the giant 114 00:05:51,240 --> 00:05:53,560 Speaker 1: in the room when it comes to video games. Two 115 00:05:53,680 --> 00:05:57,240 Speaker 1: hundred million people have signed up for the game. Eighty 116 00:05:57,320 --> 00:06:00,760 Speaker 1: million are playing on a monthly basis. If you can 117 00:06:00,800 --> 00:06:03,480 Speaker 1: get your hands on on credit card data there obviously 118 00:06:03,480 --> 00:06:05,760 Speaker 1: there's a lot to get your hands on. Up next 119 00:06:05,839 --> 00:06:09,039 Speaker 1: on the show, Scott Sasnik, we'll join us when we 120 00:06:09,080 --> 00:06:13,599 Speaker 1: speak with Sean Bryant, who is with Intel. Thank you 121 00:06:13,680 --> 00:06:17,600 Speaker 1: very much for joining us. Sean Bryant leads Intel Sports 122 00:06:17,640 --> 00:06:22,120 Speaker 1: operations in New York City. He directs product strategy, product planning, 123 00:06:22,160 --> 00:06:24,960 Speaker 1: and roadmap delivery for the group, and leads or co 124 00:06:25,200 --> 00:06:30,920 Speaker 1: leads Intel's global partnerships with professional sports leagues, sports federations, 125 00:06:31,120 --> 00:06:35,760 Speaker 1: broadcast networks, and other members of the sports and entertainment ecosystem. 126 00:06:35,920 --> 00:06:38,440 Speaker 1: First of all, Sean, thank you so much for joining us. Sir, 127 00:06:39,040 --> 00:06:41,359 Speaker 1: thank you very much, Michael. I appreciate that, and for 128 00:06:41,400 --> 00:06:44,560 Speaker 1: that wonderful introduction. It's so nice that my children might 129 00:06:44,560 --> 00:06:46,760 Speaker 1: actually listen to me in the future. It's my children 130 00:06:48,839 --> 00:06:53,320 Speaker 1: planning Fortnite. They play Fortnite, they do every one. Um, 131 00:06:53,360 --> 00:06:55,800 Speaker 1: you know, they get pretty far along, and I have to, 132 00:06:55,960 --> 00:06:58,120 Speaker 1: you know, um confess to my ignorance on playing the 133 00:06:58,120 --> 00:06:59,880 Speaker 1: actual games. I kind of sit on the sidelines and 134 00:07:00,000 --> 00:07:02,560 Speaker 1: watched them. But they're bringing me along slowly. My son 135 00:07:02,880 --> 00:07:06,160 Speaker 1: got his first victory about a week ago. I'm gonna 136 00:07:06,160 --> 00:07:09,520 Speaker 1: show you the celebration video. Better than I mean, happier 137 00:07:09,600 --> 00:07:11,720 Speaker 1: than anything else that could have recurred in his life. 138 00:07:11,920 --> 00:07:14,600 Speaker 1: He's finally won one of those things. By the way, guys, 139 00:07:14,840 --> 00:07:17,120 Speaker 1: Sean and I go back so long. I mean, you 140 00:07:17,160 --> 00:07:19,440 Speaker 1: didn't have all those fancy titles and things going on 141 00:07:19,520 --> 00:07:22,200 Speaker 1: It's like we were hanging around and like the outside 142 00:07:22,200 --> 00:07:24,480 Speaker 1: the banquet room at the NBA Text Summit that's like 143 00:07:24,480 --> 00:07:26,280 Speaker 1: one of the first probably text suit trying to see 144 00:07:26,280 --> 00:07:29,000 Speaker 1: who could steal the most, like salmon on our We 145 00:07:29,000 --> 00:07:30,640 Speaker 1: didn't want to have to pay for breakfast. But so 146 00:07:30,640 --> 00:07:33,080 Speaker 1: we're outside doing that kind of stuff. And now look 147 00:07:33,160 --> 00:07:35,880 Speaker 1: at himself. But but who knew? Like did you guys? Intel? 148 00:07:36,080 --> 00:07:38,080 Speaker 1: And like I don't think sports when I think Intel, 149 00:07:38,440 --> 00:07:40,080 Speaker 1: but I guess these days, with everything going on, I 150 00:07:40,120 --> 00:07:43,880 Speaker 1: should exactly. I mean, the great thing about Intel Sports 151 00:07:43,960 --> 00:07:47,360 Speaker 1: is we're part of Intel corp um, the two plus 152 00:07:47,400 --> 00:07:52,160 Speaker 1: billion dollar market cap company that's really helped build Silicon Valley, right, 153 00:07:52,200 --> 00:07:55,160 Speaker 1: I mean, we're fifty celebrated our fiftieth anniversary this year 154 00:07:55,520 --> 00:07:58,960 Speaker 1: and um, you know with actually ironically our greatest quarter 155 00:07:59,080 --> 00:08:01,440 Speaker 1: in history, you know, And and and that's one of 156 00:08:01,440 --> 00:08:04,080 Speaker 1: the really good things about that is that we've moved 157 00:08:04,080 --> 00:08:07,320 Speaker 1: from a company that's focuses on silicon to a data 158 00:08:07,360 --> 00:08:11,640 Speaker 1: centric firm. And really, when you think about kind of capturing, moving, 159 00:08:11,800 --> 00:08:16,040 Speaker 1: manipulating and processing data, one of the greatest bandwidth users 160 00:08:16,200 --> 00:08:19,680 Speaker 1: that is content from sports video. And we really want 161 00:08:19,680 --> 00:08:22,920 Speaker 1: to position ourselves to be part of that evolution, primarily 162 00:08:22,920 --> 00:08:25,560 Speaker 1: around immersive video, you know, for us, I remember a 163 00:08:25,560 --> 00:08:28,320 Speaker 1: couple of years ago at ce S out in Las Vegas, 164 00:08:28,920 --> 00:08:32,000 Speaker 1: former Intel CEO Brian Krasnich out there. I think he 165 00:08:32,040 --> 00:08:35,080 Speaker 1: was talking about VR. He showed VR basketball at the 166 00:08:35,120 --> 00:08:38,040 Speaker 1: time and thinking, Okay, you know, Intel's in this for 167 00:08:38,080 --> 00:08:40,280 Speaker 1: the long run, give us a sense of certainly true, 168 00:08:40,360 --> 00:08:42,760 Speaker 1: VR was a company that you guys bought a number 169 00:08:42,760 --> 00:08:45,240 Speaker 1: of years ago. Outside of VR, what else is Intel 170 00:08:45,280 --> 00:08:47,800 Speaker 1: doing in in the tech space right now? For sports? Sure, 171 00:08:48,120 --> 00:08:51,040 Speaker 1: I'll use our our deal with the NBA as an example. Um, 172 00:08:51,080 --> 00:08:56,800 Speaker 1: you know, areas we we are the official UM virtual 173 00:08:56,840 --> 00:09:00,480 Speaker 1: Reality and biometric video partner for the NBA. And my 174 00:09:00,679 --> 00:09:03,680 Speaker 1: metric video is essentially if you imagine a ring of 175 00:09:04,160 --> 00:09:07,760 Speaker 1: thirty eight five K cameras surrounding an arena or a 176 00:09:07,800 --> 00:09:10,640 Speaker 1: stadium and basically linking that what does that mean five 177 00:09:10,679 --> 00:09:18,240 Speaker 1: K but for the hi high deaf exactly, And that's 178 00:09:18,240 --> 00:09:20,480 Speaker 1: where you actually find out that I have a face 179 00:09:20,559 --> 00:09:27,080 Speaker 1: built for radio. You know, so but is yeah, yeah, 180 00:09:27,120 --> 00:09:28,640 Speaker 1: but um but you know, but our our you know, 181 00:09:28,760 --> 00:09:32,000 Speaker 1: our technology is such that we take those images UM 182 00:09:32,040 --> 00:09:35,040 Speaker 1: linked in with a few miles of fiber to about 183 00:09:35,080 --> 00:09:39,160 Speaker 1: three racks of servers, and with some wonderful algorithms, we 184 00:09:39,200 --> 00:09:42,240 Speaker 1: can create a virtual camera where there is none. So 185 00:09:42,280 --> 00:09:44,400 Speaker 1: if you think back to the Super Bowl, um, we 186 00:09:44,400 --> 00:09:48,240 Speaker 1: were able to show through a view of Tom Brady's 187 00:09:48,840 --> 00:09:51,240 Speaker 1: perspective of the field, So no camera attached to his 188 00:09:51,280 --> 00:09:53,439 Speaker 1: head or anything, but we're basically able to show you 189 00:09:53,480 --> 00:09:56,640 Speaker 1: what Tom Brady saw as he threw a pass. I've 190 00:09:56,679 --> 00:09:58,640 Speaker 1: seen tech like that before. It's it's fascinating. I mean, 191 00:09:58,640 --> 00:09:59,880 Speaker 1: I don't know if it was you guys or some 192 00:10:00,000 --> 00:10:02,400 Speaker 1: on else, but I was watching a soccer broadcast a 193 00:10:02,440 --> 00:10:05,680 Speaker 1: little while ago. Um goal got scored. Goalie didn't even move, 194 00:10:06,200 --> 00:10:08,640 Speaker 1: you know, and to the TV angle, you're like, what 195 00:10:09,240 --> 00:10:11,720 Speaker 1: guy didn't even move? What happened? And then they moved 196 00:10:12,280 --> 00:10:15,480 Speaker 1: the perspective back to the goalie side and you saw 197 00:10:15,480 --> 00:10:17,880 Speaker 1: that the shot went through two legs, a defender moved 198 00:10:17,880 --> 00:10:19,680 Speaker 1: his back and went right behind the back and you 199 00:10:19,720 --> 00:10:21,200 Speaker 1: realize the goal. He didn't even see it, you know, 200 00:10:21,240 --> 00:10:22,880 Speaker 1: he had no idea the shot had even been taken, 201 00:10:23,080 --> 00:10:24,760 Speaker 1: which is why he didn't move. So it's certainly a 202 00:10:24,760 --> 00:10:27,880 Speaker 1: cool way to see the different perspectives on the field exactly, 203 00:10:27,960 --> 00:10:29,320 Speaker 1: and we're in the opening. You know, we're in the 204 00:10:29,360 --> 00:10:31,920 Speaker 1: first first inning of this right now. You know, ultimately 205 00:10:31,920 --> 00:10:33,480 Speaker 1: we're gonna be able to do that real time, so 206 00:10:33,520 --> 00:10:35,400 Speaker 1: that you know, to your your point, I mean, you'll 207 00:10:35,400 --> 00:10:38,360 Speaker 1: be able to watch entire match or an entire game 208 00:10:38,600 --> 00:10:41,200 Speaker 1: from the perspective of your favorite athlete, right So you 209 00:10:41,240 --> 00:10:45,120 Speaker 1: could imagine being in Staples Center and watching an entire 210 00:10:45,200 --> 00:10:48,480 Speaker 1: game from Lebron James perspective, literally without a camera attached 211 00:10:48,480 --> 00:10:50,800 Speaker 1: to his forehead. So that's that's a really exciting part 212 00:10:50,800 --> 00:10:52,520 Speaker 1: of the world. So that's that's one. You know, one 213 00:10:52,520 --> 00:10:55,400 Speaker 1: area were involved in UM. The other is we signed 214 00:10:55,400 --> 00:10:58,040 Speaker 1: on is the official processor for the NBA two K 215 00:10:58,200 --> 00:11:02,240 Speaker 1: League UH this past season, inaugural season, and we're super 216 00:11:02,240 --> 00:11:05,800 Speaker 1: excited about that. UM the two K League decided to 217 00:11:06,520 --> 00:11:11,280 Speaker 1: compete on the PC platform as opposed to a console platform, 218 00:11:11,400 --> 00:11:14,320 Speaker 1: which we really think is players and fans the best 219 00:11:14,320 --> 00:11:17,319 Speaker 1: possible experience. So we're super excited about that area. In 220 00:11:17,600 --> 00:11:20,600 Speaker 1: e sports as well. I remember back in the day 221 00:11:20,640 --> 00:11:27,120 Speaker 1: here we Go, I was there with Michael I was 222 00:11:28,559 --> 00:11:30,600 Speaker 1: you see, it's only one person that has a full 223 00:11:30,679 --> 00:11:34,080 Speaker 1: head of gray hair. Me. That's it. I remember back 224 00:11:34,080 --> 00:11:37,440 Speaker 1: in the day when if you wanted the camera, and yes, 225 00:11:37,559 --> 00:11:40,840 Speaker 1: NASCAR did this, they put the camera in the car, 226 00:11:41,000 --> 00:11:45,960 Speaker 1: the full heavy camera that rotated. Now you don't even 227 00:11:46,000 --> 00:11:52,640 Speaker 1: need the when you stop spending on everybody went there 228 00:11:52,640 --> 00:11:55,880 Speaker 1: at the same time. Now you don't even need a 229 00:11:56,000 --> 00:12:00,680 Speaker 1: camera anymore. I mean, the technology is amazing us. We're 230 00:12:00,800 --> 00:12:06,199 Speaker 1: we're extremely excited about the opportunities to enhance the fan experience, 231 00:12:06,720 --> 00:12:09,920 Speaker 1: both in the arena at home. Um, we're excited to 232 00:12:10,040 --> 00:12:12,520 Speaker 1: enhance the experience for the athletes through you know a 233 00:12:12,600 --> 00:12:15,079 Speaker 1: number of other experiences that are going to help them technology, 234 00:12:15,080 --> 00:12:19,760 Speaker 1: help them. Training. What are the other uses? Certainly, certainly 235 00:12:19,800 --> 00:12:22,560 Speaker 1: training is one of the things on in the pipeline. 236 00:12:22,600 --> 00:12:25,360 Speaker 1: If you think about it, being able to again sit 237 00:12:25,400 --> 00:12:27,400 Speaker 1: there and really point out with the greatest of detail 238 00:12:27,520 --> 00:12:29,600 Speaker 1: what you did right and what you did wrong, kind 239 00:12:29,600 --> 00:12:32,000 Speaker 1: of real time. And so that's really you know, we 240 00:12:32,040 --> 00:12:35,640 Speaker 1: think that's gonna be incredibly exciting opportunity. Officiating, UM, you know, 241 00:12:35,760 --> 00:12:38,520 Speaker 1: we're we think there are opportunities there down the road. UM, 242 00:12:38,559 --> 00:12:41,800 Speaker 1: and we had the good the call even hear any 243 00:12:41,800 --> 00:12:44,000 Speaker 1: crystal clear is how they blew it. Now, I I 244 00:12:44,040 --> 00:12:46,079 Speaker 1: look at it it's kind of analogous to what's going 245 00:12:46,120 --> 00:12:48,360 Speaker 1: on in mobility, right. I mean it's not that you are, 246 00:12:48,400 --> 00:12:51,000 Speaker 1: it's about having a self driving car today, right, It's 247 00:12:51,040 --> 00:12:54,520 Speaker 1: about having driver assisted features, right. And so we think 248 00:12:54,520 --> 00:12:58,120 Speaker 1: that technology will hopefully help UM referees and we just 249 00:12:58,320 --> 00:13:01,240 Speaker 1: do their jobs better, not necessarily displaced them. Be honest 250 00:13:01,280 --> 00:13:04,119 Speaker 1: on this, how well do you think sports has embraced 251 00:13:04,160 --> 00:13:08,199 Speaker 1: the technology that's out there right now? You know, to um, 252 00:13:08,240 --> 00:13:10,680 Speaker 1: I guess kind of paraphrase one of our to me, 253 00:13:10,760 --> 00:13:12,920 Speaker 1: one of the most important influencers in my career in 254 00:13:12,960 --> 00:13:16,719 Speaker 1: sports business, UM, you know, Commissioner emeritus David stern Um. 255 00:13:16,760 --> 00:13:19,920 Speaker 1: He he famously says that sports is the canary in 256 00:13:19,960 --> 00:13:23,440 Speaker 1: the coal mine of technology. And and essentially, you know, 257 00:13:23,920 --> 00:13:27,240 Speaker 1: there were they're they're adopting kind of figuring out sports 258 00:13:27,280 --> 00:13:31,160 Speaker 1: technology far earlier than almost any other industry. And so 259 00:13:31,360 --> 00:13:33,000 Speaker 1: you know what David used to say to me, you 260 00:13:33,040 --> 00:13:37,640 Speaker 1: know how most an idiot, you know that's true? Well 261 00:13:41,600 --> 00:13:43,640 Speaker 1: that was right after he got to me. But but yeah, 262 00:13:43,720 --> 00:13:46,199 Speaker 1: but but no, he you know, he is a phenomenon. 263 00:13:46,520 --> 00:13:49,439 Speaker 1: David understood and then sorry, you get to the same 264 00:13:49,840 --> 00:13:54,760 Speaker 1: David understood that long term and here's my favorite word 265 00:13:54,800 --> 00:13:57,720 Speaker 1: again that used on this show. With scale. Technology will 266 00:13:57,760 --> 00:14:02,120 Speaker 1: allow you to scale and in a flat world, there's 267 00:14:02,160 --> 00:14:04,320 Speaker 1: a whole lot of content to deliver. That's what you're 268 00:14:04,320 --> 00:14:09,360 Speaker 1: helping exactly, exactly. And and yes, I've been a little 269 00:14:09,440 --> 00:14:11,439 Speaker 1: to be I've been a little surprised. I think that 270 00:14:11,520 --> 00:14:13,880 Speaker 1: sports doesn't do as good a job as maybe they should. 271 00:14:13,880 --> 00:14:16,200 Speaker 1: And I would think that, you know, sitting in a 272 00:14:16,200 --> 00:14:18,559 Speaker 1: place that has all of Intel's capacities at your fingertips, 273 00:14:18,559 --> 00:14:21,840 Speaker 1: that there's probably tons that you would like to be doing. 274 00:14:22,240 --> 00:14:24,520 Speaker 1: I mean that just as an example, the idea that 275 00:14:24,960 --> 00:14:27,720 Speaker 1: you know, there's a scrum in football and you can't 276 00:14:27,720 --> 00:14:29,160 Speaker 1: really see where the knee is down when the ball 277 00:14:29,240 --> 00:14:32,560 Speaker 1: is down, and the referee walks across from the sideline 278 00:14:32,600 --> 00:14:34,560 Speaker 1: to put a ball down, and then you measure it 279 00:14:34,560 --> 00:14:36,520 Speaker 1: and it's a quarter of an inch away and then 280 00:14:36,640 --> 00:14:39,480 Speaker 1: suddenly it's fourth down. Like the idea that we can't 281 00:14:39,480 --> 00:14:41,280 Speaker 1: put a censer in that ball to know exactly when 282 00:14:41,280 --> 00:14:42,760 Speaker 1: the ball when the knee is down or you know, 283 00:14:42,880 --> 00:14:45,080 Speaker 1: stop it, no, exactly where the ball is just seems 284 00:14:45,120 --> 00:14:47,920 Speaker 1: as though there's a technology soccer caught on with V 285 00:14:47,960 --> 00:14:50,440 Speaker 1: A R. Yeah, instantaneously, the ref knows that ball went 286 00:14:50,480 --> 00:14:52,600 Speaker 1: in or not. You know, I watch hockey a lot. 287 00:14:52,720 --> 00:14:55,000 Speaker 1: You know, you see these five minute delays where they're 288 00:14:55,000 --> 00:14:56,680 Speaker 1: trying to figure out if the puck went in or not. 289 00:14:57,200 --> 00:14:59,360 Speaker 1: Technology is is good enough that we can know when 290 00:14:59,400 --> 00:15:02,720 Speaker 1: the puck went in, not definitively, end of story, instantaneously. 291 00:15:03,120 --> 00:15:05,320 Speaker 1: I just feel like there's so much opportunity for for 292 00:15:05,400 --> 00:15:08,840 Speaker 1: that kind of stuff. Sean, you and I were discussing 293 00:15:09,200 --> 00:15:12,120 Speaker 1: hockey affair because you know, my son's a big hockey player. 294 00:15:12,160 --> 00:15:13,760 Speaker 1: Thank you for checking in on the on the team. 295 00:15:14,400 --> 00:15:18,400 Speaker 1: But what are you doing for a sport that I've 296 00:15:18,440 --> 00:15:21,160 Speaker 1: always said if people can touch it and feel it, 297 00:15:21,200 --> 00:15:23,000 Speaker 1: because not everybody. You can play basketball, have a ball, 298 00:15:23,000 --> 00:15:25,280 Speaker 1: you go out and shoot, play baseball, you throat, but 299 00:15:25,440 --> 00:15:27,920 Speaker 1: you can't just play hockey. Like to touch it and 300 00:15:27,960 --> 00:15:30,960 Speaker 1: feel it though, then they can scale that audience. So 301 00:15:31,080 --> 00:15:34,080 Speaker 1: how how does technology help hockey? Sure? Um, that's a 302 00:15:34,080 --> 00:15:36,080 Speaker 1: great question, Scott of me. You know, with Jackson and 303 00:15:36,640 --> 00:15:39,200 Speaker 1: him in the you know, youth hockey part of the world, 304 00:15:39,240 --> 00:15:40,560 Speaker 1: and that you have a perspective and you get a 305 00:15:40,640 --> 00:15:43,680 Speaker 1: chance to see the speed and the grace of the sport. UM, 306 00:15:44,000 --> 00:15:45,960 Speaker 1: I have not followed a sport that closely, so I 307 00:15:45,960 --> 00:15:48,840 Speaker 1: don't have as much of an appreciation. However, one of 308 00:15:48,840 --> 00:15:50,160 Speaker 1: the things I will say is coming out of c 309 00:15:50,280 --> 00:15:53,360 Speaker 1: E S this past UM. This past week, UM, we 310 00:15:53,440 --> 00:15:57,120 Speaker 1: had a wonderful experience with the NHL. UM we had 311 00:15:57,120 --> 00:16:03,440 Speaker 1: an opportunity with between Intel the MGM resorts as well 312 00:16:03,480 --> 00:16:07,040 Speaker 1: as UM the the NHL, we basically, for the first 313 00:16:07,080 --> 00:16:10,760 Speaker 1: time using five G were able to institute a program 314 00:16:10,840 --> 00:16:14,680 Speaker 1: for tracking both the puck and players real time UM. 315 00:16:14,720 --> 00:16:16,760 Speaker 1: And it was phenomenal in the fact that it gives 316 00:16:16,800 --> 00:16:19,600 Speaker 1: you a real feeling for just how fast the games played, 317 00:16:19,840 --> 00:16:22,760 Speaker 1: the reflex time, and all these other wonderful aspects of 318 00:16:22,760 --> 00:16:26,080 Speaker 1: the sport that the casual fan may not be aware. Yeah, 319 00:16:26,120 --> 00:16:30,280 Speaker 1: we wrote, Yeah, there's so many applications for things like that. Yeah, 320 00:16:30,400 --> 00:16:33,680 Speaker 1: for from you know, sports gambling, tighter data. You know, 321 00:16:33,760 --> 00:16:36,120 Speaker 1: we saw genius sports out there doing doing that kind 322 00:16:36,160 --> 00:16:38,800 Speaker 1: of stuff all the way through you know, training metrics 323 00:16:38,880 --> 00:16:41,800 Speaker 1: and giving teams a better understanding of where their guys 324 00:16:41,800 --> 00:16:43,600 Speaker 1: are on the ice, how they're being efficient, how they're 325 00:16:43,600 --> 00:16:46,480 Speaker 1: being inefficient, etcetera. Exactly, and a lot of that is 326 00:16:46,520 --> 00:16:48,880 Speaker 1: going to be enabled by one of the key areas 327 00:16:48,920 --> 00:16:51,280 Speaker 1: that Intel's focus, you know, and that's five g um. 328 00:16:51,320 --> 00:16:53,520 Speaker 1: You know, just to give you an idea, with five 329 00:16:53,600 --> 00:16:56,520 Speaker 1: g um from from four g you have basically a 330 00:16:56,640 --> 00:17:01,200 Speaker 1: thousand times the capacity that you have with four g Yeah, 331 00:17:01,240 --> 00:17:10,400 Speaker 1: it's it's pretty good, you know. That's right. Doctor the reference, 332 00:17:10,520 --> 00:17:14,160 Speaker 1: you get the reference and there were some cool shoes 333 00:17:14,200 --> 00:17:19,600 Speaker 1: in that. What kind of money were talking about here? 334 00:17:20,119 --> 00:17:23,600 Speaker 1: What I mean in the industry, in the sports industry, 335 00:17:23,600 --> 00:17:25,920 Speaker 1: global sports industry. What kind of money are we talking 336 00:17:25,920 --> 00:17:29,280 Speaker 1: about for Intel, for the league's for the players. What 337 00:17:29,320 --> 00:17:32,679 Speaker 1: are we talking about? Well, you know, in terms of 338 00:17:32,720 --> 00:17:34,040 Speaker 1: peeling it out, we have to talk a little bit 339 00:17:34,359 --> 00:17:38,000 Speaker 1: about sports. But our current CEO, Bob Swan has basically 340 00:17:38,040 --> 00:17:40,760 Speaker 1: said that we're operating in a business with you know, 341 00:17:40,800 --> 00:17:44,000 Speaker 1: tam a total available market of about three billion dollars. Right. 342 00:17:44,000 --> 00:17:46,360 Speaker 1: We had all the things we're doing, our server business, etcetera. 343 00:17:46,640 --> 00:17:50,119 Speaker 1: But within sports, it's a phenomenal opportunity I mean measured 344 00:17:50,200 --> 00:17:53,000 Speaker 1: in the billions. I mean you look at the estimates 345 00:17:53,320 --> 00:17:56,200 Speaker 1: around your sports gambling, right, and the amounts that they 346 00:17:56,200 --> 00:17:58,720 Speaker 1: think they can move from the dark to the light, 347 00:17:59,119 --> 00:18:02,520 Speaker 1: and that runs into the billions of dollars there. Um. 348 00:18:02,600 --> 00:18:06,680 Speaker 1: So so the you know, the opportunities are significant immersive video. Um, 349 00:18:07,240 --> 00:18:09,119 Speaker 1: you tell me what's the opportunity if now, all of 350 00:18:09,160 --> 00:18:11,879 Speaker 1: a sudden you have the ability to not just watch 351 00:18:11,920 --> 00:18:15,600 Speaker 1: this on your wonderful TV screen, but to really go 352 00:18:15,720 --> 00:18:18,159 Speaker 1: inside and to see what it looks like from a 353 00:18:18,160 --> 00:18:20,840 Speaker 1: player's perspective. You know, I'd pay a couple of dollars 354 00:18:20,840 --> 00:18:23,120 Speaker 1: for that. You know, that ability, you know how far away? 355 00:18:23,119 --> 00:18:25,200 Speaker 1: Because as I told you, I got my son an Oculus, 356 00:18:25,680 --> 00:18:28,159 Speaker 1: But there isn't that much sports content on there. And 357 00:18:28,160 --> 00:18:30,399 Speaker 1: even if I watched the ESPN programming, it's really just 358 00:18:30,440 --> 00:18:32,760 Speaker 1: like watching the TV. It's not the real experience of 359 00:18:32,760 --> 00:18:34,720 Speaker 1: some of the apps. The San Jose Sharks were the 360 00:18:34,760 --> 00:18:36,679 Speaker 1: only team that had a VR app where you can 361 00:18:36,720 --> 00:18:38,080 Speaker 1: go to the locker room or see the team come 362 00:18:38,080 --> 00:18:41,400 Speaker 1: out for warm up. I love it, But when will 363 00:18:41,440 --> 00:18:44,480 Speaker 1: I have real content that updates that I can really 364 00:18:44,520 --> 00:18:46,320 Speaker 1: count on it and want to do every day? Sure, 365 00:18:46,920 --> 00:18:49,679 Speaker 1: you know it's it's it's evolving, um. And that's one 366 00:18:49,720 --> 00:18:51,760 Speaker 1: of the things that you know, I mean talked about earlier. 367 00:18:51,960 --> 00:18:54,200 Speaker 1: The fact that you know, maybe technology is not being 368 00:18:54,200 --> 00:18:56,760 Speaker 1: deployed is effectively in all the areas that it should 369 00:18:56,800 --> 00:18:59,560 Speaker 1: be and I would agree that's that's the opportunity. That's 370 00:18:59,600 --> 00:19:01,280 Speaker 1: the great thing, right, you know, so there is you know, 371 00:19:01,400 --> 00:19:03,800 Speaker 1: we will see a world where you have real time sports, 372 00:19:03,840 --> 00:19:07,760 Speaker 1: I mean their issue of real time sports statistics for gambling, etcetera. 373 00:19:08,040 --> 00:19:10,480 Speaker 1: And you know, but that presents says challenges, right, you 374 00:19:10,760 --> 00:19:12,800 Speaker 1: have to address. One of key things is latency, right, 375 00:19:12,840 --> 00:19:15,400 Speaker 1: I mean, you can't have somebody getting the information two 376 00:19:15,400 --> 00:19:19,240 Speaker 1: seconds earlier than their peer or a minute earlier. So 377 00:19:19,240 --> 00:19:22,199 Speaker 1: so we think that there's a real opportunity around you know, 378 00:19:22,240 --> 00:19:27,200 Speaker 1: those areas to deploy technology in in in that capacity. Well, 379 00:19:27,320 --> 00:19:30,640 Speaker 1: I just wonder though if the technology if some athletes 380 00:19:31,160 --> 00:19:33,480 Speaker 1: do not want that technology out because that's going to 381 00:19:33,560 --> 00:19:36,760 Speaker 1: give away some secrets about how they play the game. 382 00:19:40,240 --> 00:19:43,919 Speaker 1: I drop your name regularly. Um, but but now that 383 00:19:43,960 --> 00:19:45,800 Speaker 1: that's a great point, Michael. I mean, you know, that's 384 00:19:45,840 --> 00:19:47,760 Speaker 1: one of the bigger issues from my understanding, you know, 385 00:19:47,960 --> 00:19:50,760 Speaker 1: many years removed from working at the league office, but um, 386 00:19:50,800 --> 00:19:52,960 Speaker 1: you know my understanding is that's a big issue of 387 00:19:53,040 --> 00:19:56,240 Speaker 1: conversation between the leagues and the players associations in terms 388 00:19:56,320 --> 00:19:59,159 Speaker 1: of who owns this data, who has access to this 389 00:19:59,240 --> 00:20:01,200 Speaker 1: data because you know, there may be some things that 390 00:20:01,240 --> 00:20:04,160 Speaker 1: could help your cause when it comes to contract negotiations, 391 00:20:04,160 --> 00:20:05,840 Speaker 1: and there may be some things the good hurt your cause. 392 00:20:06,200 --> 00:20:08,040 Speaker 1: And just like I might not want somebody to know 393 00:20:08,160 --> 00:20:10,640 Speaker 1: my blood pressure on the daily basis, you know, So 394 00:20:11,040 --> 00:20:13,240 Speaker 1: you know those are issues and challenges that you know, 395 00:20:13,800 --> 00:20:17,560 Speaker 1: again create opportunities going forward. You mentioned blood pressure, their biometrics. 396 00:20:17,600 --> 00:20:20,000 Speaker 1: Is that an area that you guys are dabbling in 397 00:20:20,080 --> 00:20:22,399 Speaker 1: focusing on at all or are you kind of staying 398 00:20:22,400 --> 00:20:25,840 Speaker 1: more towards the camera oriented type stuff. Sure are. For 399 00:20:25,960 --> 00:20:28,760 Speaker 1: Intel Sports, our focus right now is helping to lead 400 00:20:28,840 --> 00:20:31,480 Speaker 1: this charge into immersive video right and we think that 401 00:20:31,680 --> 00:20:34,040 Speaker 1: out of that will come many opportunities. But we have 402 00:20:34,320 --> 00:20:36,560 Speaker 1: with you know, as you pointed out earlier, the acquisition 403 00:20:36,600 --> 00:20:39,800 Speaker 1: of two companies. One was is now rebranded as True 404 00:20:39,880 --> 00:20:42,920 Speaker 1: VR and the other is True View, and we think 405 00:20:43,080 --> 00:20:45,280 Speaker 1: we're using those two pieces. There are a number of 406 00:20:45,280 --> 00:20:48,080 Speaker 1: other businesses that can be complimentary and adjacent to that. 407 00:20:48,480 --> 00:20:53,280 Speaker 1: And Sean Michael talked about these Nike shoes. You don't 408 00:20:53,280 --> 00:20:56,199 Speaker 1: need to lay them, you have to recharge them. You 409 00:20:56,240 --> 00:21:01,440 Speaker 1: can tighten them with the app uh tech in sports 410 00:21:01,640 --> 00:21:06,240 Speaker 1: is sports the leader in technology and driving technology. Do 411 00:21:06,280 --> 00:21:09,159 Speaker 1: you is, do you try things in sports, see how 412 00:21:09,200 --> 00:21:11,320 Speaker 1: it goes and then doesn't function in other parts of 413 00:21:11,359 --> 00:21:15,040 Speaker 1: the company. Uh? Yes, I think just on a macro level, 414 00:21:15,080 --> 00:21:17,399 Speaker 1: there's an opportunity for sports to really be at that 415 00:21:17,520 --> 00:21:19,960 Speaker 1: kind of the top of that pyramid of influence, right 416 00:21:19,960 --> 00:21:22,560 Speaker 1: in terms of opportunities, you know, you know, there's an 417 00:21:22,560 --> 00:21:25,560 Speaker 1: outsized I guess interest in the world. You know, you 418 00:21:25,600 --> 00:21:28,600 Speaker 1: have a sports page in every newspaper, every magazine, um, 419 00:21:28,720 --> 00:21:31,560 Speaker 1: you know, and I think that that's an opportunity to 420 00:21:31,600 --> 00:21:33,840 Speaker 1: really kind of capture the imagination and to really be 421 00:21:33,880 --> 00:21:36,080 Speaker 1: a great test bed, you know for technology. I know 422 00:21:36,200 --> 00:21:39,760 Speaker 1: you had um Brian roll up on on the your broadcast, 423 00:21:39,800 --> 00:21:41,880 Speaker 1: you know, your previous broadcast. And when you think about 424 00:21:41,880 --> 00:21:44,520 Speaker 1: the scale of the the NFL, who's also a partner 425 00:21:44,600 --> 00:21:47,879 Speaker 1: of the of Intel's um, you know, they're not too 426 00:21:47,880 --> 00:21:50,040 Speaker 1: many places you're going to get those types of numbers 427 00:21:50,040 --> 00:21:52,640 Speaker 1: and audience and be able to showcase you know, your 428 00:21:52,680 --> 00:21:55,480 Speaker 1: technology on a daily basis and really in a way 429 00:21:55,520 --> 00:21:58,000 Speaker 1: that's relevant, right, you know, because they didn't tell one 430 00:21:58,000 --> 00:22:00,399 Speaker 1: of the things we have a hundred thousand super smart people, 431 00:22:00,560 --> 00:22:03,479 Speaker 1: you know, and I'm fortunate to work with them, and um, 432 00:22:04,119 --> 00:22:06,800 Speaker 1: and we really have the greatest technology, you know, whether 433 00:22:06,840 --> 00:22:10,200 Speaker 1: it be five G artificial intelligence. You know our servers 434 00:22:10,480 --> 00:22:13,680 Speaker 1: run of the cloud. Um. But you know the reality 435 00:22:13,680 --> 00:22:16,040 Speaker 1: of it is like that has can't be technology just 436 00:22:16,080 --> 00:22:18,159 Speaker 1: for technology's sake. And I think sports gives you the 437 00:22:18,160 --> 00:22:22,040 Speaker 1: opportunity to really showcase this tech. And I am so 438 00:22:22,080 --> 00:22:24,240 Speaker 1: glad you said that that you can't have technology for 439 00:22:24,320 --> 00:22:26,639 Speaker 1: technology's sake. Now you can't see what I'm doing, folks, 440 00:22:26,640 --> 00:22:28,800 Speaker 1: but I'm gonna tell you. You see how I am 441 00:22:28,840 --> 00:22:32,479 Speaker 1: tightening up my shoe. I'm tightening up by lacing up 442 00:22:32,520 --> 00:22:36,520 Speaker 1: my shoe laces. Why in the world, I'm sorry, Nike, Listen, 443 00:22:37,440 --> 00:22:41,520 Speaker 1: here comes the big back. I like you. I think 444 00:22:41,560 --> 00:22:45,280 Speaker 1: you have a great you sell great shoes, But why 445 00:22:45,320 --> 00:22:47,359 Speaker 1: do I need to pay three fifty dollars for a 446 00:22:47,440 --> 00:22:51,280 Speaker 1: shoe where I get an app? It has the data? Lord, 447 00:22:51,320 --> 00:22:53,480 Speaker 1: if I step in a puddle, I could lose all this? 448 00:22:54,400 --> 00:22:58,439 Speaker 1: Should you please? U? Bar and to the value of 449 00:22:58,520 --> 00:23:01,520 Speaker 1: data and professional sports? I get the data. It's I 450 00:23:01,560 --> 00:23:07,000 Speaker 1: don't think it's okay put a censor on my foot anything, man, 451 00:23:07,080 --> 00:23:15,040 Speaker 1: Because now, of course I listen, I get it. It's 452 00:23:15,119 --> 00:23:18,320 Speaker 1: this is the cool thing, this and that whatever, and 453 00:23:18,359 --> 00:23:20,840 Speaker 1: then I got to charge the shoe up every two weeks. 454 00:23:22,280 --> 00:23:27,359 Speaker 1: Why well, I have the first you follow disclaimers as 455 00:23:27,359 --> 00:23:30,080 Speaker 1: a dad of three children, Alexander Avon Adriana A three 456 00:23:30,320 --> 00:23:32,840 Speaker 1: D and fifty times three. Uh, it's a pretty short 457 00:23:32,880 --> 00:23:37,680 Speaker 1: conversation and for the shoes. Um. How Having said that, though, 458 00:23:37,760 --> 00:23:40,760 Speaker 1: I will say that you know your your point is unequivocal, 459 00:23:40,840 --> 00:23:44,879 Speaker 1: you know, Scott, the tech data capture and data is 460 00:23:45,160 --> 00:23:47,960 Speaker 1: kind of the the currency, the oil, if you will, 461 00:23:48,040 --> 00:23:51,720 Speaker 1: of sports, and I think of technology and business going forward, right, 462 00:23:51,760 --> 00:23:55,199 Speaker 1: So any opportunity to capture that data really represents a 463 00:23:55,200 --> 00:24:00,199 Speaker 1: great opportunity to again enhance the lives, the experiences and 464 00:23:59,800 --> 00:24:02,680 Speaker 1: and create business opportunities. And one thing like you will, 465 00:24:02,920 --> 00:24:04,960 Speaker 1: you know, obviously do with that data, they will apply 466 00:24:05,200 --> 00:24:07,800 Speaker 1: machine learning so that they can be smarter about their 467 00:24:07,840 --> 00:24:10,920 Speaker 1: customers and their own product moving forward. Machine learning is 468 00:24:11,080 --> 00:24:12,720 Speaker 1: you know, obviously the kind of the way of the 469 00:24:12,760 --> 00:24:15,040 Speaker 1: future with a lot of the sports data. Um and 470 00:24:15,080 --> 00:24:17,520 Speaker 1: I think that you guys, alongside Ali Baba maybe have 471 00:24:17,600 --> 00:24:20,359 Speaker 1: the best kind of future encapsulation of what that might 472 00:24:20,400 --> 00:24:22,600 Speaker 1: look like. An announcement that came a couple of weeks 473 00:24:22,600 --> 00:24:25,399 Speaker 1: ago surrounding the Olympics. Tell us a little bit more 474 00:24:25,440 --> 00:24:28,400 Speaker 1: about exactly what that is, because that feels like when 475 00:24:28,440 --> 00:24:32,679 Speaker 1: it is available, a leap and bounds further than what 476 00:24:32,800 --> 00:24:35,480 Speaker 1: data capture is in sports right now. Sure, well, you 477 00:24:35,520 --> 00:24:37,800 Speaker 1: know the announcement we made with Ali Baba last week 478 00:24:37,880 --> 00:24:41,919 Speaker 1: during c yes, I think represents um what Intel does best. Right. 479 00:24:42,000 --> 00:24:44,680 Speaker 1: We're an ingredient company, you know, we provide the building 480 00:24:44,680 --> 00:24:48,280 Speaker 1: blocks to enable a lot of these technologies in these experiences, 481 00:24:48,480 --> 00:24:50,960 Speaker 1: and we feel as though you know our word Olympic 482 00:24:50,960 --> 00:24:54,000 Speaker 1: sponsor for the next three Olympics, I believe and taking 483 00:24:54,080 --> 00:24:56,440 Speaker 1: our access and our technology and marry that with Ali 484 00:24:56,520 --> 00:25:00,240 Speaker 1: Baba will enhance not just the experience of the years 485 00:25:00,280 --> 00:25:03,120 Speaker 1: at home, but the you know, training and insight for 486 00:25:03,160 --> 00:25:06,200 Speaker 1: the athletes themselves. So, you know, being able to capture 487 00:25:06,400 --> 00:25:10,200 Speaker 1: you know, terra bytes, you know, maybe peta bytes of data, um, 488 00:25:10,240 --> 00:25:12,080 Speaker 1: you know, and and then being able to take that 489 00:25:12,200 --> 00:25:15,240 Speaker 1: and translate it into actionable insights is really what we 490 00:25:15,440 --> 00:25:18,800 Speaker 1: think we do incredibly well. So it's I think that 491 00:25:18,920 --> 00:25:21,359 Speaker 1: you know, lots more to come, and that technology seems 492 00:25:21,359 --> 00:25:24,360 Speaker 1: like it is has the ability to replace essentially all 493 00:25:24,400 --> 00:25:27,960 Speaker 1: the other types of non biometric wearables that people you know, 494 00:25:28,000 --> 00:25:30,320 Speaker 1: whether it's the sleeve on the picture's arm that shows 495 00:25:30,400 --> 00:25:33,720 Speaker 1: the rotation of his elbow, whatever it is, uh through 496 00:25:33,840 --> 00:25:36,840 Speaker 1: cameras only. It sounds like the future is being able 497 00:25:36,880 --> 00:25:39,119 Speaker 1: to figure out all the everything about the body and 498 00:25:39,200 --> 00:25:42,960 Speaker 1: space by camera only, nothing on the body itself. It 499 00:25:43,080 --> 00:25:46,760 Speaker 1: definitely cameras in a video represent an incredible opportunity to 500 00:25:46,840 --> 00:25:49,920 Speaker 1: capture data and to translate it into you know, actionable 501 00:25:49,960 --> 00:25:52,520 Speaker 1: insights again and um and and in a way that's 502 00:25:52,520 --> 00:25:54,879 Speaker 1: not invasive. Right. That's really the one of the key things, 503 00:25:54,960 --> 00:25:57,000 Speaker 1: you know, in terms of what we're looking at. This 504 00:25:57,000 --> 00:25:59,800 Speaker 1: would be my worry if I was Adam Silver, your friend, 505 00:25:59,880 --> 00:26:04,199 Speaker 1: my friend, that the technology will become so good that 506 00:26:04,280 --> 00:26:06,960 Speaker 1: there's just no reason to go to games anymore. I mean, 507 00:26:07,040 --> 00:26:09,679 Speaker 1: you know, there's been that tussle between at home versus 508 00:26:09,680 --> 00:26:12,520 Speaker 1: in arena. Boy. If I consider at home no ingress, 509 00:26:12,520 --> 00:26:15,800 Speaker 1: no traffic, no bathroom problems, and I can have this 510 00:26:16,000 --> 00:26:22,080 Speaker 1: immersive experience, why what I need to go and pay 511 00:26:22,200 --> 00:26:24,440 Speaker 1: and go to the go to the building itself? Would 512 00:26:24,440 --> 00:26:28,520 Speaker 1: are you were there already? Well? No, I don't think 513 00:26:28,800 --> 00:26:30,880 Speaker 1: quite there yet. But I mean we're talking about things 514 00:26:30,880 --> 00:26:33,600 Speaker 1: that the experience, if Sean is right, it's going to 515 00:26:33,640 --> 00:26:36,479 Speaker 1: be so compelling at home, whether I have my goggles 516 00:26:36,520 --> 00:26:40,760 Speaker 1: on or whatever, that maybe it pales in comparison being 517 00:26:40,800 --> 00:26:43,440 Speaker 1: being at the arena. I would say, I mean, that's 518 00:26:43,440 --> 00:26:45,719 Speaker 1: a great, you know, insight. I would say that, you know, 519 00:26:45,840 --> 00:26:47,960 Speaker 1: and from our perspective, But it's additive, right, I mean, 520 00:26:47,960 --> 00:26:49,919 Speaker 1: because you look at a couple of things. One is 521 00:26:49,960 --> 00:26:53,480 Speaker 1: that the NBA in particular is near near capacity across 522 00:26:53,520 --> 00:26:55,960 Speaker 1: the system, right, so over ninety plus um, you know, 523 00:26:56,280 --> 00:27:00,520 Speaker 1: capacity utilization um, and so there, and then even if 524 00:27:00,520 --> 00:27:03,600 Speaker 1: you could fill every building, you know, I think the 525 00:27:03,640 --> 00:27:05,960 Speaker 1: lead famous famously stage, they can only still touch between 526 00:27:06,000 --> 00:27:09,000 Speaker 1: one and two percent of their fans. I love can say. 527 00:27:09,040 --> 00:27:14,879 Speaker 1: You know what David would have said, Sashniks, He's like, 528 00:27:15,240 --> 00:27:19,000 Speaker 1: you're so New York centric. Don't you know that most 529 00:27:19,080 --> 00:27:22,240 Speaker 1: people don't live near one of our buildings. Don't you 530 00:27:22,400 --> 00:27:24,920 Speaker 1: know that? Do I have to? That's what David would 531 00:27:24,920 --> 00:27:28,520 Speaker 1: have said, that even if that's the right answer, that's 532 00:27:28,520 --> 00:27:30,680 Speaker 1: still the masses don't go to building that's right. And 533 00:27:31,000 --> 00:27:33,720 Speaker 1: when you think about particularly NBA, which is a global sport, 534 00:27:33,840 --> 00:27:36,720 Speaker 1: broadcasting two comp countries, which by the way, is one 535 00:27:36,720 --> 00:27:38,720 Speaker 1: of the things that makes them incredibly attractive to us. 536 00:27:38,720 --> 00:27:42,160 Speaker 1: It didn't tell because we do by of our business globally, um, 537 00:27:42,240 --> 00:27:44,640 Speaker 1: and so you can't. This gives you a chance to 538 00:27:44,640 --> 00:27:47,600 Speaker 1: to really bring in and translate that experience. Um. You know. 539 00:27:47,680 --> 00:27:49,760 Speaker 1: One of the things that you know, this past week 540 00:27:49,800 --> 00:27:53,800 Speaker 1: again at ces UM, Adam Silver and Jack Dorsey were 541 00:27:53,800 --> 00:27:57,160 Speaker 1: on the stage talking about their new partnership and one 542 00:27:57,160 --> 00:27:59,400 Speaker 1: of the things that that you know, it was highlighted 543 00:27:59,560 --> 00:28:01,600 Speaker 1: was if you do if we do our job right 544 00:28:01,720 --> 00:28:05,000 Speaker 1: of my technology standpoint, we're just building more excitement for 545 00:28:05,000 --> 00:28:07,919 Speaker 1: the people in you know, Nigeria, the people in you 546 00:28:07,960 --> 00:28:11,080 Speaker 1: know Brazil, you know, globally and understand what the excitement 547 00:28:11,119 --> 00:28:13,440 Speaker 1: of a real NBA game is because I can put 548 00:28:13,440 --> 00:28:16,719 Speaker 1: you their courtside and Jack Nicholson seats Well, it may 549 00:28:16,760 --> 00:28:18,840 Speaker 1: ask a question and Scott kind of mentioned it about 550 00:28:18,880 --> 00:28:22,200 Speaker 1: the goggles. What wouldn't we see a day maybe when 551 00:28:22,280 --> 00:28:24,600 Speaker 1: we go to the games and we're wearing goggles while 552 00:28:24,640 --> 00:28:27,760 Speaker 1: we're in the stands. Sure, well, you know again, I'll 553 00:28:27,800 --> 00:28:33,800 Speaker 1: be the old guy in the room from experience. But 554 00:28:33,800 --> 00:28:35,520 Speaker 1: but Michael, that's that's a great point. I mean, you 555 00:28:35,560 --> 00:28:37,600 Speaker 1: know again, I'll be the old guy for a second, 556 00:28:38,080 --> 00:28:39,880 Speaker 1: way back when if you went to a baseball game 557 00:28:39,960 --> 00:28:41,840 Speaker 1: and you're up in those bleeds, which you know, if 558 00:28:41,840 --> 00:28:43,200 Speaker 1: you're lucky enough for me, like I didn't go to 559 00:28:43,240 --> 00:28:45,640 Speaker 1: many sporting events as a as a kid, But would 560 00:28:45,640 --> 00:28:46,800 Speaker 1: you bring along you brough up for a long pair 561 00:28:46,800 --> 00:28:50,720 Speaker 1: of binoculars? Right? So now what could your VR headset be? 562 00:28:50,760 --> 00:28:52,880 Speaker 1: You know, the Oculus go you mentioned, you know Scott, 563 00:28:53,240 --> 00:28:56,760 Speaker 1: my children have it now for Christmas, we anecdotally we've 564 00:28:56,760 --> 00:28:59,400 Speaker 1: seen our our viewership go up for our game of 565 00:28:59,400 --> 00:29:01,360 Speaker 1: the week on Earner. Uh we do a game of 566 00:29:01,360 --> 00:29:03,520 Speaker 1: the week in virtual reality and this year we have 567 00:29:03,680 --> 00:29:07,480 Speaker 1: to two games in and the numbers have jumped, you know, 568 00:29:07,040 --> 00:29:10,800 Speaker 1: quantum lead. How are people finding out about? Well? One 569 00:29:10,840 --> 00:29:13,000 Speaker 1: thing is that you know, Oculus has had a very 570 00:29:13,040 --> 00:29:16,560 Speaker 1: aggressive advertising campaign um this holiday season with you know, 571 00:29:16,640 --> 00:29:19,840 Speaker 1: I think Jonah Hill and um Adam Levine and and 572 00:29:19,920 --> 00:29:22,680 Speaker 1: um whis Khalifa I believe, And so they're getting the 573 00:29:22,720 --> 00:29:24,680 Speaker 1: word out and we're seeing it from our you know 574 00:29:24,840 --> 00:29:27,080 Speaker 1: uptake you know uptake there. But you know, but to 575 00:29:27,080 --> 00:29:29,840 Speaker 1: to to close out on a Michael's um you know point. 576 00:29:30,080 --> 00:29:32,000 Speaker 1: You know, so you think about having your VR headset. 577 00:29:32,080 --> 00:29:34,120 Speaker 1: Now you're sitting up in the top and section three 578 00:29:34,520 --> 00:29:36,600 Speaker 1: at Madison Square Garden, and you can now throw on 579 00:29:36,680 --> 00:29:39,240 Speaker 1: this headset and maybe just dive in and see what 580 00:29:39,280 --> 00:29:41,840 Speaker 1: it looks like from courtside as your modern day binoculars. 581 00:29:42,040 --> 00:29:45,000 Speaker 1: So that that's you know, one of the bad basketball 582 00:29:45,040 --> 00:29:47,520 Speaker 1: in section one is the same as bad basketball section. 583 00:29:49,480 --> 00:29:53,880 Speaker 1: So we've talked game. We've talked a little about about 584 00:29:53,880 --> 00:29:57,280 Speaker 1: gambling here. Obviously there's there's a lot of the technology 585 00:29:57,320 --> 00:29:59,880 Speaker 1: that you guys touched that eventually tangentially works it's way 586 00:29:59,880 --> 00:30:02,719 Speaker 1: to gambling. Do you guys do anything directly with with 587 00:30:02,760 --> 00:30:05,920 Speaker 1: sports gambling, partnering with gambling houses or leagues to kind 588 00:30:05,920 --> 00:30:08,800 Speaker 1: of create those those products. What's the intel approach to 589 00:30:08,920 --> 00:30:11,520 Speaker 1: the gambling opportunity? You're sure? I mean, um, that that's 590 00:30:11,600 --> 00:30:13,520 Speaker 1: that's a great question. And when you look at some 591 00:30:13,560 --> 00:30:16,239 Speaker 1: of the key drivers for sports going forward, you have 592 00:30:16,320 --> 00:30:18,200 Speaker 1: to put gambling up at the top there. I mean, 593 00:30:18,280 --> 00:30:21,120 Speaker 1: you can see the numbers already. Uh, even only being 594 00:30:21,240 --> 00:30:23,840 Speaker 1: with seven states. You know, at this point, um, we 595 00:30:24,040 --> 00:30:27,280 Speaker 1: as an organization have not done a deep dive into 596 00:30:27,440 --> 00:30:30,120 Speaker 1: into gambling. It's something that we're definitely looking at. Um. 597 00:30:30,200 --> 00:30:32,040 Speaker 1: You know, we were big companies. We have to be 598 00:30:32,080 --> 00:30:35,320 Speaker 1: aware of how that impacts all of our businesses. But um, 599 00:30:35,320 --> 00:30:38,760 Speaker 1: but certainly in terms of data consumption, data, you know, 600 00:30:38,920 --> 00:30:43,440 Speaker 1: generation that that checks every box. I would think anything 601 00:30:43,720 --> 00:30:46,400 Speaker 1: that drives engagement in sport. You are jumping up and 602 00:30:46,480 --> 00:30:50,320 Speaker 1: cheerleading for you're all, I mean, you're all about improving engagement. 603 00:30:50,480 --> 00:30:53,280 Speaker 1: That's exactly right, Scott that that's exactly right. And and 604 00:30:53,280 --> 00:30:55,600 Speaker 1: and you again all the I know that you have 605 00:30:55,920 --> 00:30:57,560 Speaker 1: Brian here last week. I'm sure a lot of your 606 00:30:57,560 --> 00:31:00,360 Speaker 1: other guests have talked about it. Everybody knows that if 607 00:31:00,400 --> 00:31:02,600 Speaker 1: you're gambling and even like you know the the prop 608 00:31:02,680 --> 00:31:05,600 Speaker 1: bets or you know, you're betting a dollar against your friends, UM, 609 00:31:05,640 --> 00:31:08,200 Speaker 1: that's gonna make you watch the sport in a slightly 610 00:31:08,240 --> 00:31:11,160 Speaker 1: different way and and have and and drive that engagement up. 611 00:31:11,640 --> 00:31:14,000 Speaker 1: The score is irrelevant at this point because somebody's got 612 00:31:14,000 --> 00:31:16,600 Speaker 1: money on it. Sean Bryant, who is the head of 613 00:31:16,640 --> 00:31:20,200 Speaker 1: Intel Sports operations right here in New York City, Sean, 614 00:31:20,320 --> 00:31:23,640 Speaker 1: thank you, sir for joining us. We appreciate it. Thank you, 615 00:31:23,720 --> 00:31:27,520 Speaker 1: I appreciate you involving me and giving myself an intel 616 00:31:27,640 --> 00:31:30,240 Speaker 1: chance to be a part of you know what y'all 617 00:31:30,280 --> 00:31:33,080 Speaker 1: doing here, which is amazing and really bringing sports in 618 00:31:33,360 --> 00:31:36,520 Speaker 1: business to the to the population. So thank you. Time 619 00:31:36,600 --> 00:31:41,000 Speaker 1: now for takeaways, And usually we do takeaways after we 620 00:31:41,080 --> 00:31:43,280 Speaker 1: have done the interview and the guest has left and 621 00:31:43,320 --> 00:31:47,040 Speaker 1: we thanked and we've sent them her on its way. 622 00:31:47,240 --> 00:31:50,880 Speaker 1: But my man here, so this is gonna be the 623 00:31:50,960 --> 00:31:54,280 Speaker 1: nicest takeaway. I've never seen such a more handsome man 624 00:31:54,560 --> 00:31:57,880 Speaker 1: come in for the takeaways and do something like this. 625 00:31:58,360 --> 00:32:06,640 Speaker 1: I say, God, bless you. I will say this though. 626 00:32:06,920 --> 00:32:08,760 Speaker 1: It is a point that we talked about, is that 627 00:32:08,840 --> 00:32:11,160 Speaker 1: we are going to see the day when we're gonna 628 00:32:11,160 --> 00:32:14,480 Speaker 1: have goggles and we're gonna be in the stands of 629 00:32:14,560 --> 00:32:18,120 Speaker 1: a live sporting event, not just at home, but right there, 630 00:32:18,400 --> 00:32:20,960 Speaker 1: maybe up in the nosebleed section, but we're going to 631 00:32:21,040 --> 00:32:24,080 Speaker 1: be there at this sporting event. Yeah. I think that 632 00:32:24,320 --> 00:32:25,800 Speaker 1: we talked about on the show a lot. But just 633 00:32:25,880 --> 00:32:29,920 Speaker 1: the technology and the speed at which it's advancing is 634 00:32:30,000 --> 00:32:33,960 Speaker 1: changing so much about sports consumption and whether that's you know, 635 00:32:34,040 --> 00:32:37,040 Speaker 1: sports gambling, whether that's you know, kids sitting on their 636 00:32:37,040 --> 00:32:40,000 Speaker 1: couches trying to get a VR look from the perspective 637 00:32:40,040 --> 00:32:42,640 Speaker 1: of a goalie, whether that's you know, more masses from 638 00:32:42,640 --> 00:32:46,040 Speaker 1: a from a larger TV audience. The technology is moving 639 00:32:46,160 --> 00:32:48,520 Speaker 1: really quickly, and it's companies like Intel that are on 640 00:32:48,560 --> 00:32:50,640 Speaker 1: the front and the front edge of it trying to 641 00:32:50,680 --> 00:32:53,320 Speaker 1: find the quickest and smartest ways to adapt it for 642 00:32:53,320 --> 00:32:55,720 Speaker 1: for sports fans. For me, two things. One, my kid 643 00:32:55,760 --> 00:32:58,480 Speaker 1: has the oculuses age of nine. All his friends have it. 644 00:32:58,880 --> 00:33:00,640 Speaker 1: This is going to be normal for them. They will 645 00:33:00,680 --> 00:33:02,840 Speaker 1: demand this sort of experience. They will be used to 646 00:33:02,880 --> 00:33:05,840 Speaker 1: it that the big screen TV ain't gonna cut it. 647 00:33:05,920 --> 00:33:09,200 Speaker 1: Just sitting in an arena. People spending plates for entertainment 648 00:33:09,240 --> 00:33:12,600 Speaker 1: ain't gonna cut it. They're gonna red pan is not 649 00:33:12,640 --> 00:33:15,800 Speaker 1: gonna cut it. Break a few dishes, and people like, 650 00:33:15,800 --> 00:33:18,840 Speaker 1: oh my god, that that that cuts for you, Sean, 651 00:33:19,400 --> 00:33:21,280 Speaker 1: it's about the back of the entire company. It's not 652 00:33:21,280 --> 00:33:24,400 Speaker 1: a little division. You work with the whole company Intel Capital. 653 00:33:24,440 --> 00:33:27,600 Speaker 1: You've got backing to do the sorts of things that 654 00:33:27,640 --> 00:33:30,360 Speaker 1: you need to do, and uh, moving forward, it's just 655 00:33:30,360 --> 00:33:32,880 Speaker 1: going to require that that those size companies, that sort 656 00:33:32,920 --> 00:33:35,440 Speaker 1: of investment and the smarts as well. You can't just 657 00:33:35,480 --> 00:33:39,240 Speaker 1: have one. You need the ten poles and and then 658 00:33:39,320 --> 00:33:41,880 Speaker 1: you can drive what the sports leagues and teams and 659 00:33:41,880 --> 00:33:45,080 Speaker 1: owners are looking for. Time now for the number of 660 00:33:45,120 --> 00:33:51,800 Speaker 1: the week, the number one hundred fifty thousand dollars. I 661 00:33:51,880 --> 00:33:54,479 Speaker 1: know this one because I suggested it. That should give 662 00:33:54,520 --> 00:33:57,840 Speaker 1: a little clue to you. I suggested it. It's the 663 00:33:57,880 --> 00:33:59,440 Speaker 1: amount of money we're gonna need to pay Red Pan 664 00:33:59,600 --> 00:34:03,840 Speaker 1: to come on the show. Now, panned her entire halftime 665 00:34:04,160 --> 00:34:10,920 Speaker 1: after her or those Nike shoes we're talking about, Yeah, 666 00:34:10,960 --> 00:34:12,840 Speaker 1: give us a few box of those? No, no, what 667 00:34:12,880 --> 00:34:18,600 Speaker 1: do we got here? The amount that a Syracuse fan 668 00:34:19,600 --> 00:34:25,640 Speaker 1: donated after he said that's what he would do if Syracuse, 669 00:34:25,719 --> 00:34:31,320 Speaker 1: my alma mater went into Cameron Indoor and defeated the Dukies. 670 00:34:31,560 --> 00:34:35,360 Speaker 1: And that's just what they did in overtime. What's the 671 00:34:35,480 --> 00:34:41,560 Speaker 1: difference over everything about that guy's post screamed like stupid 672 00:34:41,600 --> 00:34:43,520 Speaker 1: thing that someone does when they know the team no 673 00:34:43,600 --> 00:34:46,399 Speaker 1: chance of winning until he actually I think he even 674 00:34:46,400 --> 00:34:50,719 Speaker 1: went over. He paid an extra but that would be 675 00:34:50,719 --> 00:34:53,520 Speaker 1: one Seriously, college basketball, he's a team of freshman. I 676 00:34:54,440 --> 00:34:56,839 Speaker 1: would think that anybody, and we always say anybody can 677 00:34:56,840 --> 00:35:01,520 Speaker 1: beat anybody. But the difference between unranked Syracuse and number one, Dude, 678 00:35:01,840 --> 00:35:03,960 Speaker 1: it's not that far like, it's not that far fretched 679 00:35:04,000 --> 00:35:06,400 Speaker 1: that Syracuse will go into Cameron to win the game. Like, 680 00:35:06,440 --> 00:35:09,279 Speaker 1: you can't be that surprised. But and he backed it up, 681 00:35:09,360 --> 00:35:12,440 Speaker 1: he said it, he did it. Good for him. You're 682 00:35:12,440 --> 00:35:14,960 Speaker 1: ready for an old man story. This is an old 683 00:35:14,960 --> 00:35:17,439 Speaker 1: man story and it kind of plays off what Evan said, 684 00:35:17,760 --> 00:35:19,839 Speaker 1: is he I remember this because I used to love 685 00:35:19,880 --> 00:35:29,360 Speaker 1: bowling back in the day when I could bowl. Wow, 686 00:35:29,640 --> 00:35:34,799 Speaker 1: don't ask me. I won't to explain the heartbreak of 687 00:35:34,800 --> 00:35:36,919 Speaker 1: that one, but it was I cried for a whole 688 00:35:37,080 --> 00:35:40,080 Speaker 1: night after that and still crying now. But what happened 689 00:35:40,480 --> 00:35:43,200 Speaker 1: back in like the late seventies early eighties, there was 690 00:35:43,320 --> 00:35:46,920 Speaker 1: his local business, yeah, when I was forty, and he 691 00:35:47,000 --> 00:35:48,920 Speaker 1: said he was going to put up a hundred thousand 692 00:35:48,960 --> 00:35:52,319 Speaker 1: dollars to any bowler on the Pro Bowlers Tour during 693 00:35:52,360 --> 00:35:57,239 Speaker 1: the telecast who could shoot a three hundred. Now, obviously 694 00:35:58,000 --> 00:35:59,920 Speaker 1: he must not have had the money, because when we 695 00:36:00,120 --> 00:36:03,160 Speaker 1: got to the final game and you can see that 696 00:36:03,160 --> 00:36:05,080 Speaker 1: no one was going to shoot the three hundred, he 697 00:36:05,239 --> 00:36:08,720 Speaker 1: literally shook the hands of Earl Anthony and I forgot 698 00:36:08,719 --> 00:36:10,560 Speaker 1: the other guy that he was playing on live TV. 699 00:36:10,719 --> 00:36:13,520 Speaker 1: Is this is going on? I'm like, dude, it's like, 700 00:36:13,760 --> 00:36:16,640 Speaker 1: why would you do that? Man? So it's like, but 701 00:36:16,920 --> 00:36:19,440 Speaker 1: this guy put up a hundred fifty thousand dollars in 702 00:36:19,480 --> 00:36:23,440 Speaker 1: Syracuse one, Ladies and gentlemen, Michael, thank you very much. 703 00:36:24,120 --> 00:36:27,000 Speaker 1: Now that we're done with the Geezer month, you're listening 704 00:36:27,000 --> 00:36:30,040 Speaker 1: to Bloomberg Business of Sports. We're here each and every 705 00:36:30,040 --> 00:36:33,880 Speaker 1: week at the same time, plus online as an Apple podcast, 706 00:36:33,880 --> 00:36:36,120 Speaker 1: and you can catch that Monday's, Wednesdays and Thursdays. And 707 00:36:36,120 --> 00:36:38,600 Speaker 1: I'm Michael bar on Twitter at Big Bar Sports. I'm 708 00:36:38,600 --> 00:36:42,120 Speaker 1: Evan Novi, Williams at nov Underscore Williams, and I'm Scotts. 709 00:36:42,440 --> 00:36:44,759 Speaker 1: You can follow me on Twitter at SSI. Thanks for 710 00:36:44,800 --> 00:36:46,600 Speaker 1: joining us, and please tune in next week when we 711 00:36:46,600 --> 00:36:49,160 Speaker 1: speak with the biggest and brightest in the sports business industry. 712 00:36:49,360 --> 00:36:51,480 Speaker 1: And if you want to hear some more Geezer stories, 713 00:36:51,760 --> 00:36:54,720 Speaker 1: you can listen right here on Bloomberg Business of Sports 714 00:36:54,800 --> 00:37:05,320 Speaker 1: from Bloomberg Radio around the world.