1 00:00:00,520 --> 00:00:01,359 Speaker 1: Taking a Walk. 2 00:00:01,440 --> 00:00:04,160 Speaker 2: A lot of companies I think have a major appeal 3 00:00:04,280 --> 00:00:06,520 Speaker 2: to say, hey, we want to just take the latest 4 00:00:06,519 --> 00:00:09,399 Speaker 2: and great technology. But what they must do first is 5 00:00:09,520 --> 00:00:11,880 Speaker 2: identify what is the necessity, what is the need of 6 00:00:11,920 --> 00:00:15,120 Speaker 2: their audience, their consumer being met. So when thinking about 7 00:00:15,120 --> 00:00:18,680 Speaker 2: something like artificial intelligence, that's the first guardrail, right is 8 00:00:19,040 --> 00:00:20,640 Speaker 2: what is your use case? 9 00:00:20,720 --> 00:00:22,439 Speaker 1: What is that doing for someone? 10 00:00:22,600 --> 00:00:25,520 Speaker 3: Well? I'm Buzzsnight, the host of the Taking a Walk podcast. 11 00:00:25,640 --> 00:00:29,240 Speaker 3: We talk with musicians, we talk with insiders, we talk 12 00:00:29,320 --> 00:00:32,960 Speaker 3: with experts in their field. We love talking about the 13 00:00:33,000 --> 00:00:39,120 Speaker 3: intersection of music, media, technology and Welcome to the Special 14 00:00:39,360 --> 00:00:41,280 Speaker 3: CEES twenty. 15 00:00:40,960 --> 00:00:44,120 Speaker 4: Twenty five Special Tech tick on a Walk. I like 16 00:00:44,200 --> 00:00:47,839 Speaker 4: the way that sounds tech ticke out a Walk episode 17 00:00:47,880 --> 00:00:51,479 Speaker 4: as we celebrate this week. I'm joined by the Senior 18 00:00:51,560 --> 00:00:53,400 Speaker 4: director of Innovation for. 19 00:00:53,640 --> 00:00:57,680 Speaker 3: The Consumer Technology Association, Brian Kamiski. 20 00:00:57,720 --> 00:01:01,080 Speaker 1: Hello, Brian, hy buzz, How you doing great? Welcome to 21 00:01:01,160 --> 00:01:01,920 Speaker 1: Taking a Walk. 22 00:01:02,040 --> 00:01:05,360 Speaker 3: I wish we were taking a walk in person for it, 23 00:01:05,440 --> 00:01:10,759 Speaker 3: but since your schedule this week of CEES is bonkers, 24 00:01:11,640 --> 00:01:15,520 Speaker 3: we're in two different places. But we'll intersect on the 25 00:01:15,600 --> 00:01:18,400 Speaker 3: floor at some point. Okay, I'm sure we will. 26 00:01:18,440 --> 00:01:20,200 Speaker 2: I think we're going to get that amongst our what 27 00:01:20,360 --> 00:01:22,840 Speaker 2: like the twenty thousand steps a day one gets at CS. 28 00:01:23,440 --> 00:01:26,640 Speaker 3: Absolutely, yeah, I love it, looking forward to it all. 29 00:01:26,920 --> 00:01:30,120 Speaker 3: So what are the key themes for media companies to 30 00:01:31,040 --> 00:01:34,240 Speaker 3: observe this year at the CEES twenty twenty five. 31 00:01:35,080 --> 00:01:37,479 Speaker 2: Yeah, of course, Well, I think it's it's about kind 32 00:01:37,480 --> 00:01:39,480 Speaker 2: of reflecting with the overall show theme, which is going 33 00:01:39,520 --> 00:01:41,880 Speaker 2: all in right, which is how do you lean into 34 00:01:41,880 --> 00:01:46,720 Speaker 2: different technologies to either access a new audience, to improve 35 00:01:46,760 --> 00:01:50,520 Speaker 2: your own product, or to honestly improve your operations. 36 00:01:50,560 --> 00:01:53,920 Speaker 1: So I think there's really three key. 37 00:01:53,640 --> 00:01:56,480 Speaker 2: Paths that really emerge my mind. One is how are 38 00:01:56,480 --> 00:01:59,160 Speaker 2: companies grappling when you know it's going to take about 39 00:01:59,160 --> 00:02:01,120 Speaker 2: two minutes this podcast for me to say the word 40 00:02:01,120 --> 00:02:05,000 Speaker 2: our official intelligence. But how do companies interact with the 41 00:02:05,120 --> 00:02:09,079 Speaker 2: rising and shifting nature of ourtificial intelligence? How do they 42 00:02:09,480 --> 00:02:12,720 Speaker 2: really leverage what is the especially on the audio side, 43 00:02:12,760 --> 00:02:16,360 Speaker 2: what's the oldest form of content or spoken entertainment in 44 00:02:16,360 --> 00:02:19,440 Speaker 2: the world into other forms of intellectual property and what 45 00:02:19,480 --> 00:02:23,320 Speaker 2: that means in maybe gaming and video. And lastly, how 46 00:02:23,360 --> 00:02:25,919 Speaker 2: do you use it to really start to improve the 47 00:02:26,160 --> 00:02:30,359 Speaker 2: audio or the video the actual outputs that you're doing right, 48 00:02:30,440 --> 00:02:33,679 Speaker 2: how do you get that high fidelity visual or audio quality? 49 00:02:33,840 --> 00:02:35,760 Speaker 1: Those are the three that really come to mind right away. 50 00:02:36,560 --> 00:02:37,720 Speaker 1: So when you think. 51 00:02:37,639 --> 00:02:43,320 Speaker 3: Of artificial intelligence, what guard rails do you think media 52 00:02:43,360 --> 00:02:44,840 Speaker 3: companies should be thinking about? 53 00:02:45,320 --> 00:02:47,840 Speaker 2: Of course, well, I think with any sort of innovation, 54 00:02:47,960 --> 00:02:50,120 Speaker 2: it's all about a balance. I think when we think 55 00:02:50,160 --> 00:02:55,440 Speaker 2: about innovation and growth all that we think there's a 56 00:02:55,480 --> 00:02:57,080 Speaker 2: few pairs of forces that operate. 57 00:02:57,120 --> 00:02:58,720 Speaker 1: One is you have growth versus value. 58 00:02:58,800 --> 00:03:01,240 Speaker 2: Right, Companies want to grow their product, consumers want the 59 00:03:01,240 --> 00:03:04,640 Speaker 2: best value their supply and demand. These ones make sense, 60 00:03:04,680 --> 00:03:07,400 Speaker 2: But there's another one, which is innovation versus necessity. 61 00:03:07,560 --> 00:03:07,760 Speaker 3: Right. 62 00:03:08,120 --> 00:03:09,799 Speaker 1: A lot of companies I think have a. 63 00:03:10,000 --> 00:03:12,760 Speaker 2: Major appeal to say, hey, we want to just take 64 00:03:12,760 --> 00:03:15,560 Speaker 2: the latest and greatest technology. But what they must do 65 00:03:15,680 --> 00:03:18,240 Speaker 2: first is identify what is the necessity, What is the 66 00:03:18,280 --> 00:03:21,320 Speaker 2: need of their audience, their consumer being met. So when 67 00:03:21,320 --> 00:03:25,480 Speaker 2: thinking about something like artificial intelligence, that's the first guardrail, right, is. 68 00:03:25,720 --> 00:03:29,160 Speaker 1: What is your use case? What is that doing for someone? 69 00:03:29,680 --> 00:03:32,040 Speaker 2: And I think a really good example of this is 70 00:03:33,000 --> 00:03:35,600 Speaker 2: it goes back to someone that Caines actually said like 71 00:03:35,720 --> 00:03:37,760 Speaker 2: one hundred years ago, which is the idea of technology 72 00:03:37,840 --> 00:03:40,240 Speaker 2: is supposed to be used to eliminate drudgery so that 73 00:03:40,280 --> 00:03:42,680 Speaker 2: we can do what humans do best, which is be creative. 74 00:03:42,800 --> 00:03:46,760 Speaker 2: And what better medium then music and media in general, right, 75 00:03:46,960 --> 00:03:49,240 Speaker 2: which is how do you use AI and building a 76 00:03:49,280 --> 00:03:53,480 Speaker 2: place that is helping build efficiencies, but keeping those guardrails 77 00:03:53,520 --> 00:03:56,320 Speaker 2: to protect the talent to really leverage into what is 78 00:03:56,360 --> 00:03:57,520 Speaker 2: the stronger. 79 00:03:57,080 --> 00:03:59,280 Speaker 1: Components of the industry, which is its people. At the 80 00:03:59,360 --> 00:03:59,920 Speaker 1: end of the day. 81 00:04:00,640 --> 00:04:02,880 Speaker 3: I'm so glad you said that, because I think the 82 00:04:03,680 --> 00:04:07,680 Speaker 3: human touch is so critical here and sometimes I think 83 00:04:07,720 --> 00:04:12,120 Speaker 3: that gets forgotten when companies are really looking at these 84 00:04:12,160 --> 00:04:15,160 Speaker 3: balance sheets trying to get them together, and they forget 85 00:04:15,200 --> 00:04:19,400 Speaker 3: about the importance of people. But speaking of people and 86 00:04:19,440 --> 00:04:25,920 Speaker 3: speaking of radio organizations, how do radio companies build the 87 00:04:26,040 --> 00:04:30,320 Speaker 3: spirit of innovation inside their walls in the years ahead? 88 00:04:31,400 --> 00:04:31,679 Speaker 1: Yeah? 89 00:04:31,720 --> 00:04:33,799 Speaker 2: Well, I think there's a few paths to that. One 90 00:04:33,880 --> 00:04:37,240 Speaker 2: is actually sometimes taking a look inward at your own employees. 91 00:04:38,360 --> 00:04:40,400 Speaker 2: You know, I've talked with some other folks in the 92 00:04:40,440 --> 00:04:43,400 Speaker 2: media exec space in the past, and they've talked about 93 00:04:43,440 --> 00:04:47,320 Speaker 2: competitions for innovation. How do you get your employees even 94 00:04:47,560 --> 00:04:50,360 Speaker 2: in terms of thinking about, well, what sort of technology 95 00:04:50,400 --> 00:04:52,920 Speaker 2: or what sort of approach can we use to really 96 00:04:53,120 --> 00:04:56,400 Speaker 2: improve our operations and looking and leaning into the people 97 00:04:56,440 --> 00:04:58,640 Speaker 2: that they already have, and you can create it in 98 00:04:58,680 --> 00:05:01,279 Speaker 2: a friendly competitive set where it's all right, we're going 99 00:05:01,320 --> 00:05:03,720 Speaker 2: to adopt one of these solutions. Maybe that's you know, 100 00:05:03,960 --> 00:05:07,400 Speaker 2: incentivized financially by the way, that's a morale boost inside. 101 00:05:07,640 --> 00:05:10,760 Speaker 2: Some of it is also not being afraid of bringing 102 00:05:10,800 --> 00:05:14,080 Speaker 2: in that outside expertise on technology and how do you 103 00:05:14,120 --> 00:05:16,760 Speaker 2: adopt it. And this is a balancing at that not 104 00:05:16,839 --> 00:05:20,000 Speaker 2: just media companies but companies in general are starting to 105 00:05:20,000 --> 00:05:23,560 Speaker 2: consider right is as AI, but also all these other 106 00:05:23,600 --> 00:05:25,760 Speaker 2: technologies get a little bit more complex, get a little 107 00:05:25,800 --> 00:05:28,400 Speaker 2: bit more detailed. There's a lot of data going around, 108 00:05:28,400 --> 00:05:31,400 Speaker 2: there's a lot of privacy going concerns to think about 109 00:05:31,520 --> 00:05:33,480 Speaker 2: how do you make sure that you have that expertise. 110 00:05:33,520 --> 00:05:36,360 Speaker 2: And sometimes you have that internally, sometimes you have that externally. 111 00:05:36,800 --> 00:05:39,440 Speaker 2: But when I look at something like radio in particular, 112 00:05:39,960 --> 00:05:42,280 Speaker 2: I think that there's a tendency in the industry. And 113 00:05:42,800 --> 00:05:46,080 Speaker 2: I'm a long radio fan. I think we've both known this. 114 00:05:46,240 --> 00:05:48,320 Speaker 2: I'm from the New England area. Originally I grew up 115 00:05:48,320 --> 00:05:51,080 Speaker 2: listening to a lot of independent radio, like ninety two 116 00:05:51,120 --> 00:05:54,640 Speaker 2: to one or one seven FNX, which no longer exists. 117 00:05:54,279 --> 00:05:54,919 Speaker 1: Rest in peace. 118 00:05:55,320 --> 00:05:57,200 Speaker 2: But I grew up listening to that, and I think 119 00:05:57,240 --> 00:05:59,800 Speaker 2: what made that very clear was what made it great 120 00:05:59,800 --> 00:06:02,719 Speaker 2: well its radio personalities. They did start to pivot to 121 00:06:02,760 --> 00:06:05,000 Speaker 2: use some technologies quite well, I thought, which is when 122 00:06:05,000 --> 00:06:07,360 Speaker 2: they went to digital, they went into an online presence, 123 00:06:07,760 --> 00:06:10,960 Speaker 2: especially after the loss of the radio station itself. But 124 00:06:11,080 --> 00:06:13,400 Speaker 2: this is one of those things where they started trying 125 00:06:13,400 --> 00:06:14,880 Speaker 2: to lean in and maybe it was a little too 126 00:06:14,960 --> 00:06:17,479 Speaker 2: late in this example, but lean into how do we 127 00:06:17,600 --> 00:06:20,839 Speaker 2: use other technologies in general to keep. 128 00:06:20,640 --> 00:06:21,560 Speaker 1: Our product alive? 129 00:06:22,320 --> 00:06:24,640 Speaker 2: Or let's go with one that still exists today, which 130 00:06:24,640 --> 00:06:28,200 Speaker 2: is metal Arc Media. That is Dan Lebtard who had 131 00:06:28,240 --> 00:06:31,760 Speaker 2: his radio station on ESPN for years talking about sports 132 00:06:32,120 --> 00:06:32,680 Speaker 2: metal Arc. 133 00:06:32,920 --> 00:06:36,880 Speaker 1: After the separation of ESPN, they are no longer on radio. 134 00:06:36,680 --> 00:06:39,800 Speaker 2: Because they successfully pivoted to video using draft kings of 135 00:06:39,839 --> 00:06:42,560 Speaker 2: all people to fund their sponsor. We're talking about a 136 00:06:42,640 --> 00:06:46,000 Speaker 2: betting company coming in and saying, hey, media matters. And 137 00:06:46,040 --> 00:06:48,720 Speaker 2: they built a podcast in digital empire as well as 138 00:06:48,760 --> 00:06:52,120 Speaker 2: a video stream empire on Twitch, which is leaning into 139 00:06:52,120 --> 00:06:54,120 Speaker 2: a new generational demographic. 140 00:06:54,240 --> 00:06:54,440 Speaker 1: Right. 141 00:06:54,720 --> 00:06:58,040 Speaker 2: So at their peak of ESPN, they were on Twitch, Radio, 142 00:06:58,360 --> 00:07:02,800 Speaker 2: TV and to a podcasts. They were using an Omnich 143 00:07:02,880 --> 00:07:05,960 Speaker 2: channel approach, which really starts to attract those younger generations. 144 00:07:07,080 --> 00:07:12,080 Speaker 3: So every year at CEES you are able to find 145 00:07:12,120 --> 00:07:16,320 Speaker 3: these companies that, you know, maybe surprise people in terms 146 00:07:16,320 --> 00:07:20,280 Speaker 3: of the amazing work they're doing or they're preparing to 147 00:07:20,400 --> 00:07:23,560 Speaker 3: roll out. Are there a couple of examples this year 148 00:07:23,720 --> 00:07:27,480 Speaker 3: that will be surprising to folks in terms of what 149 00:07:27,640 --> 00:07:30,600 Speaker 3: companies are showcasing at CEES twenty twenty five. 150 00:07:31,440 --> 00:07:34,400 Speaker 2: Yeah, Well, I think about especially let's let's say with music, 151 00:07:34,520 --> 00:07:37,200 Speaker 2: and you think about all the different ways that audio 152 00:07:37,280 --> 00:07:40,320 Speaker 2: goes right, Like you have Victrola be back, you know, 153 00:07:40,600 --> 00:07:43,240 Speaker 2: a company from nineteen oh six, how are they developing 154 00:07:43,560 --> 00:07:46,560 Speaker 2: their latest turntables which have started to get a little 155 00:07:46,560 --> 00:07:48,320 Speaker 2: bit of a comeback in terms of some of the 156 00:07:48,640 --> 00:07:50,880 Speaker 2: not just the high fidelity audio, but there is a 157 00:07:51,480 --> 00:07:53,960 Speaker 2: for gen Z they are surprisingly like they like to 158 00:07:53,960 --> 00:07:56,200 Speaker 2: go to sometimes that tech that maybe is a little 159 00:07:56,200 --> 00:07:59,160 Speaker 2: bit older, not just for the novelty, but because it 160 00:07:59,240 --> 00:08:02,520 Speaker 2: still has that high power immersive performance. When we think 161 00:08:02,560 --> 00:08:06,280 Speaker 2: about audios shift in general, people are looking for immersive experiences. 162 00:08:06,520 --> 00:08:09,600 Speaker 2: So a company like Patrola is innovating in that place. 163 00:08:09,600 --> 00:08:13,040 Speaker 2: On the turntable side. Another path that I find interesting 164 00:08:13,160 --> 00:08:15,920 Speaker 2: is well, what is music used for? 165 00:08:16,120 --> 00:08:16,760 Speaker 1: In general? 166 00:08:16,880 --> 00:08:21,320 Speaker 2: We tend to lean right to entertainment, but right before 167 00:08:21,480 --> 00:08:24,520 Speaker 2: you know, I go on stage or I talk to anyone, 168 00:08:24,680 --> 00:08:27,280 Speaker 2: I actually usually listen to music as a way to 169 00:08:27,360 --> 00:08:29,720 Speaker 2: sort of calm myself down, to train myself. I usually 170 00:08:29,720 --> 00:08:32,400 Speaker 2: have like a go to playlist of different things. And 171 00:08:32,480 --> 00:08:34,840 Speaker 2: when I tell you the genre is quite ranging, it 172 00:08:34,960 --> 00:08:36,560 Speaker 2: is all over the place. 173 00:08:36,840 --> 00:08:38,120 Speaker 1: But there's a company. 174 00:08:37,800 --> 00:08:40,240 Speaker 2: That's going to be that's at SESS called Alphabets, which 175 00:08:40,240 --> 00:08:43,520 Speaker 2: I really like. It's a patented solution. It wins one 176 00:08:43,559 --> 00:08:46,760 Speaker 2: at CS Innovation Award. It's actually used for athletic performers. 177 00:08:47,040 --> 00:08:50,120 Speaker 2: And what it does is it bases on neurofeedback and 178 00:08:50,200 --> 00:08:54,720 Speaker 2: individualized music to help recovery and relaxation and focus and flow. 179 00:08:54,760 --> 00:08:57,960 Speaker 2: So how are you using music to actually help athletes 180 00:08:58,000 --> 00:09:01,360 Speaker 2: in this case perform their very best. So I think 181 00:09:01,440 --> 00:09:03,199 Speaker 2: that's the other thing is when we think about music, 182 00:09:03,200 --> 00:09:06,480 Speaker 2: when we think about media, we tend to go down. 183 00:09:06,240 --> 00:09:08,480 Speaker 1: This route of content and entertainment. 184 00:09:08,080 --> 00:09:12,079 Speaker 2: And that's a massive, massive market. But I think at 185 00:09:12,080 --> 00:09:15,839 Speaker 2: its core, what is the staying power of music really is? 186 00:09:15,960 --> 00:09:18,319 Speaker 2: It's not just it taps into a culture, It clearly 187 00:09:18,360 --> 00:09:21,480 Speaker 2: taps into something quite primal and instinctual. And so seeing 188 00:09:21,480 --> 00:09:24,240 Speaker 2: a company like Alphabets really lean into that, I think 189 00:09:24,320 --> 00:09:27,400 Speaker 2: is incredible. And then lastly, I just will say, really quick, 190 00:09:27,400 --> 00:09:30,920 Speaker 2: you're going to see companies like iHeartMedia and Serious XM 191 00:09:31,000 --> 00:09:34,120 Speaker 2: talk about what their overall strategies look like, whether that's 192 00:09:34,120 --> 00:09:38,240 Speaker 2: from a content perspective or they're leaning into talking about well, 193 00:09:38,240 --> 00:09:40,520 Speaker 2: what's our new offerings in our strategy and how do 194 00:09:40,559 --> 00:09:42,079 Speaker 2: we use technology to enhance that. 195 00:09:42,720 --> 00:09:47,440 Speaker 3: So I produced this other podcast which is called Music 196 00:09:47,559 --> 00:09:52,160 Speaker 3: Save Me. It's about the sort of healing power of music. 197 00:09:52,240 --> 00:09:55,240 Speaker 3: Linn Hoffman as the host of that podcast. It's sort 198 00:09:55,240 --> 00:09:59,160 Speaker 3: of was born out of taking a walk. So can 199 00:09:59,200 --> 00:10:02,520 Speaker 3: you speak even in a little bit more detail towards, 200 00:10:02,840 --> 00:10:08,240 Speaker 3: you know, maybe the therapeutic aspects of maybe products. You 201 00:10:08,400 --> 00:10:10,559 Speaker 3: just alluded to it to a degree with the prep 202 00:10:10,640 --> 00:10:14,000 Speaker 3: before going on stage, But are there any offerings that 203 00:10:14,120 --> 00:10:17,319 Speaker 3: sort of match what Music Saved Me is about, which 204 00:10:17,360 --> 00:10:21,920 Speaker 3: is this you know, real incredible force that music has 205 00:10:22,200 --> 00:10:23,840 Speaker 3: to do good and help people. 206 00:10:24,559 --> 00:10:24,800 Speaker 1: Yeah. 207 00:10:24,840 --> 00:10:27,160 Speaker 2: Well, as I said, I think that first example really 208 00:10:27,200 --> 00:10:29,600 Speaker 2: speaks to this company called alphabet is where they're really 209 00:10:29,720 --> 00:10:33,559 Speaker 2: leaning into this idea of well, how do we use 210 00:10:34,679 --> 00:10:38,559 Speaker 2: just basically it's focusing and calibrating it to neurofeedback, which 211 00:10:38,720 --> 00:10:42,800 Speaker 2: that gets into there's a whole psychology I feel called psychoacoustics, 212 00:10:42,800 --> 00:10:45,280 Speaker 2: which is how are you using sound to trigger a 213 00:10:45,360 --> 00:10:49,880 Speaker 2: particular emotional response, a typical, a certain physiological response. 214 00:10:50,000 --> 00:10:53,199 Speaker 1: They're working on that, SiriusXM. We'll be talking about that 215 00:10:53,240 --> 00:10:53,440 Speaker 1: a lot. 216 00:10:53,520 --> 00:10:57,040 Speaker 2: They have a team called Studio reson I actually serious 217 00:10:57,080 --> 00:11:00,320 Speaker 2: ExM will. It has a keynote at CES they're going 218 00:11:00,400 --> 00:11:03,280 Speaker 2: to be talking to the host of Crime Junkie, a 219 00:11:03,320 --> 00:11:06,440 Speaker 2: true crime podcast. But in addition to that, the Studio 220 00:11:06,440 --> 00:11:08,760 Speaker 2: Resonate team will be there and their whole focus is 221 00:11:09,040 --> 00:11:12,280 Speaker 2: on this idea of psychoacoustics. How do you get that 222 00:11:13,120 --> 00:11:19,320 Speaker 2: sort of space to really use sound and audio cues to. 223 00:11:18,440 --> 00:11:20,040 Speaker 1: Evoke a certain type of reaction. 224 00:11:20,440 --> 00:11:22,280 Speaker 2: Now there is a focus that they use it for 225 00:11:22,280 --> 00:11:26,360 Speaker 2: for advertising and marketing. Certainly, right when we hear the 226 00:11:26,440 --> 00:11:29,160 Speaker 2: sound of Netflix go off, right, even just the quick 227 00:11:29,240 --> 00:11:31,440 Speaker 2: whole theme music, you don't even need to see the 228 00:11:31,440 --> 00:11:33,960 Speaker 2: Netflix logo to know what happens, right, or the taco 229 00:11:34,000 --> 00:11:37,520 Speaker 2: bell chime that's the sort of psychology that they're going with. 230 00:11:37,840 --> 00:11:40,400 Speaker 2: And then there's a musical component to it as well, 231 00:11:40,480 --> 00:11:43,400 Speaker 2: which is all right, it's not just the sound effect book, 232 00:11:43,400 --> 00:11:44,720 Speaker 2: what's the musical side of it. 233 00:11:45,120 --> 00:11:46,440 Speaker 1: The other one too, is there. 234 00:11:46,320 --> 00:11:49,200 Speaker 2: Will be companies that we talked about the therapeutic side, but 235 00:11:49,320 --> 00:11:52,280 Speaker 2: music also is a really tremendous educational tool. 236 00:11:52,720 --> 00:11:54,280 Speaker 1: I know, you know growing up. 237 00:11:55,040 --> 00:11:57,800 Speaker 2: So both my sisters are teachers, and one is a 238 00:11:57,800 --> 00:12:01,400 Speaker 2: Spanish language teacher, and and she follows a tried and 239 00:12:01,480 --> 00:12:05,640 Speaker 2: true form which is teaching Spanish language songs because if 240 00:12:05,679 --> 00:12:08,079 Speaker 2: you learn a tuned to certain words and not I 241 00:12:08,160 --> 00:12:10,400 Speaker 2: was talking about all the fun alphabet song, but if 242 00:12:10,440 --> 00:12:13,120 Speaker 2: you learn actual music from the countries, you can actually 243 00:12:13,240 --> 00:12:16,120 Speaker 2: learn slang in a context that really helps you into 244 00:12:16,120 --> 00:12:16,600 Speaker 2: the future. 245 00:12:16,679 --> 00:12:18,160 Speaker 1: So music has a. 246 00:12:18,120 --> 00:12:21,240 Speaker 2: Therapeutic and educational role. It's really it's what are you 247 00:12:21,360 --> 00:12:23,880 Speaker 2: tapping into at the end of the day. And I 248 00:12:23,920 --> 00:12:25,400 Speaker 2: think all of us at the end of the day 249 00:12:25,400 --> 00:12:28,079 Speaker 2: can think about certain tracks that bring us to the 250 00:12:28,160 --> 00:12:32,679 Speaker 2: right emotional state time. And so these companies I've listed, Alphabets, 251 00:12:32,840 --> 00:12:35,720 Speaker 2: Miko's this company that's worked on educational side, and even 252 00:12:35,720 --> 00:12:38,440 Speaker 2: stereos xm are all finding how do we get that 253 00:12:38,640 --> 00:12:43,400 Speaker 2: there from different paths, whether that's a learning robot, a 254 00:12:43,480 --> 00:12:46,720 Speaker 2: therapeutic app, or just our content platform as a whole. 255 00:12:47,720 --> 00:12:51,200 Speaker 3: So, your boss, Gary Shapiro, the president of the Consumer 256 00:12:51,320 --> 00:12:55,080 Speaker 3: Technology Association, has a new book out, Pivot or Die, 257 00:12:55,480 --> 00:13:00,080 Speaker 3: great title. You wrote a chapter in there for the book, Loo, 258 00:13:01,480 --> 00:13:05,880 Speaker 3: how do companies sort of jump off the curb and 259 00:13:05,960 --> 00:13:10,079 Speaker 3: do what's necessary, get their fears out of the way, 260 00:13:10,240 --> 00:13:15,560 Speaker 3: and make the necessary pivot to thrive in today's world? 261 00:13:16,240 --> 00:13:17,680 Speaker 2: Yeah, of course, Well, I think the lot of that 262 00:13:17,920 --> 00:13:20,439 Speaker 2: is what I think the first step is when you 263 00:13:20,440 --> 00:13:22,560 Speaker 2: think about how to thrive, I think technology is the 264 00:13:22,600 --> 00:13:25,000 Speaker 2: pathway to do so, and I think you have to 265 00:13:25,040 --> 00:13:29,360 Speaker 2: first examine, well, what is your relationship with technology? And 266 00:13:29,400 --> 00:13:32,239 Speaker 2: I think there's really kind of four types of relationships 267 00:13:32,240 --> 00:13:35,080 Speaker 2: and technology. I think that there's companies that are enablers, 268 00:13:35,160 --> 00:13:38,360 Speaker 2: and these are companies that they are making the building 269 00:13:38,400 --> 00:13:40,880 Speaker 2: blocks of a particular technology. They are the ones who 270 00:13:40,880 --> 00:13:44,280 Speaker 2: are there making either the hardware or the software platform 271 00:13:44,320 --> 00:13:46,600 Speaker 2: that allows it to happen. This is why, for example, 272 00:13:46,840 --> 00:13:50,240 Speaker 2: Nvidia is doing so well in our official intelligence. They 273 00:13:50,280 --> 00:13:53,560 Speaker 2: make the chips the literal hardware foundation for AI, but 274 00:13:53,600 --> 00:13:54,760 Speaker 2: they also make the software. 275 00:13:54,880 --> 00:13:57,320 Speaker 1: That's one relationship. One is called. 276 00:13:57,120 --> 00:14:00,200 Speaker 2: Engagers, and these are companies they lean fully in to 277 00:14:00,280 --> 00:14:03,160 Speaker 2: technology as their main products, so they oftentimes offer a 278 00:14:03,200 --> 00:14:04,040 Speaker 2: software a service. 279 00:14:04,720 --> 00:14:07,559 Speaker 1: The last two might sound close. 280 00:14:07,280 --> 00:14:09,359 Speaker 2: To one another, but I think a lot of companies 281 00:14:09,559 --> 00:14:11,880 Speaker 2: will fall into the fourth category could be the third easy. 282 00:14:11,960 --> 00:14:14,000 Speaker 2: So the third categories enhancer. So after you go for 283 00:14:14,080 --> 00:14:16,960 Speaker 2: enabler or to engage, go to enhancer. These are companies 284 00:14:17,040 --> 00:14:20,280 Speaker 2: that use technology. It's not their core product, but they 285 00:14:20,440 --> 00:14:23,320 Speaker 2: find a way to leverage their technology that can influence 286 00:14:23,320 --> 00:14:26,280 Speaker 2: the whole space itself. And lastly that you have companies 287 00:14:26,320 --> 00:14:27,680 Speaker 2: that are what you would call a user, which is 288 00:14:27,800 --> 00:14:30,440 Speaker 2: they might use technology, but it's not really their flesh 289 00:14:30,440 --> 00:14:33,800 Speaker 2: and blood or to their core, to their identity as 290 00:14:33,800 --> 00:14:37,040 Speaker 2: a product. Enhancers are really fascinating to me because these 291 00:14:37,040 --> 00:14:40,160 Speaker 2: are companies where they might do one thing, but it 292 00:14:40,200 --> 00:14:43,520 Speaker 2: turns out that they have an incredibly good product somewhere else. 293 00:14:43,600 --> 00:14:46,760 Speaker 2: So when I think about someone like Chick fil A, 294 00:14:46,960 --> 00:14:49,880 Speaker 2: for example, is a really good example of this. They're 295 00:14:50,000 --> 00:14:53,600 Speaker 2: very good at chicken sandwiches and in meals, but what 296 00:14:53,640 --> 00:14:56,720 Speaker 2: they're also really good about doing is bridging community through 297 00:14:56,760 --> 00:15:00,160 Speaker 2: their media platforms. So they're actually launching an app to 298 00:15:00,200 --> 00:15:02,440 Speaker 2: bring families get It's not food ordering app, but it's 299 00:15:02,480 --> 00:15:04,680 Speaker 2: simply a way to bridge their communities together. 300 00:15:04,720 --> 00:15:06,480 Speaker 1: And that just launched in the last week. 301 00:15:06,720 --> 00:15:08,920 Speaker 2: This is really kind of this example of they went 302 00:15:08,960 --> 00:15:10,920 Speaker 2: from being kind of a user where we have really 303 00:15:10,920 --> 00:15:15,200 Speaker 2: good technology for making our meals, but then they realize, oh, 304 00:15:15,200 --> 00:15:17,640 Speaker 2: we have really good logistics technology because have you ever 305 00:15:17,680 --> 00:15:19,800 Speaker 2: really waited in a long line at Pick fil a? 306 00:15:19,960 --> 00:15:20,040 Speaker 3: No? 307 00:15:20,720 --> 00:15:22,880 Speaker 1: And then we have really good ability connect with people. 308 00:15:22,960 --> 00:15:25,880 Speaker 2: So they actually now sell a lot of their logistics 309 00:15:25,920 --> 00:15:29,440 Speaker 2: technologies and advise companies on how to improve their retail 310 00:15:29,480 --> 00:15:32,960 Speaker 2: footprint or they're telling people how to make apps, and 311 00:15:33,000 --> 00:15:35,160 Speaker 2: this is something I think is really important. They've gone 312 00:15:35,200 --> 00:15:36,720 Speaker 2: from what you call a user at the end of 313 00:15:36,800 --> 00:15:40,760 Speaker 2: the spectrum of people just use technology to enhancing leaning 314 00:15:40,840 --> 00:15:42,960 Speaker 2: into this technology idea and raising it. 315 00:15:43,400 --> 00:15:44,640 Speaker 1: Chick fil A is a good example of this. 316 00:15:44,840 --> 00:15:48,280 Speaker 2: Delta who is keynoting at CS is another great example 317 00:15:48,320 --> 00:15:48,480 Speaker 2: of this. 318 00:15:48,520 --> 00:15:50,720 Speaker 1: We think of that as an airline, but really at the. 319 00:15:50,760 --> 00:15:52,560 Speaker 2: End of the day, they've pioneered a lot of the 320 00:15:52,680 --> 00:15:56,880 Speaker 2: artificial intelligence that's used to track flight algorithms, assess weather 321 00:15:57,000 --> 00:16:01,440 Speaker 2: patterns to avoid delays, as well as creating technology that 322 00:16:01,440 --> 00:16:04,480 Speaker 2: that leverages sort of multi virtual reality or something called 323 00:16:04,520 --> 00:16:09,560 Speaker 2: parallel reality to allow different customers and passengers to have 324 00:16:09,560 --> 00:16:13,920 Speaker 2: a seamless flight experience that's very individualized. That's the type 325 00:16:13,920 --> 00:16:17,040 Speaker 2: of technology that they're leaning into adopting, and then can 326 00:16:17,120 --> 00:16:20,440 Speaker 2: easily export to others in the field should they want to. 327 00:16:20,840 --> 00:16:22,120 Speaker 2: And I think at the end of the day, it's 328 00:16:22,400 --> 00:16:25,280 Speaker 2: assess your relationship. Am I just using technology? Or can 329 00:16:25,320 --> 00:16:29,360 Speaker 2: I enhance this technology industry by really leaning into what 330 00:16:29,480 --> 00:16:29,960 Speaker 2: works for me? 331 00:16:30,160 --> 00:16:31,800 Speaker 1: And I think radio is a good example of this. 332 00:16:32,000 --> 00:16:34,760 Speaker 2: No one has better localized data I think in the 333 00:16:34,760 --> 00:16:37,560 Speaker 2: world about customers in general, in terms of they have 334 00:16:37,680 --> 00:16:40,080 Speaker 2: these local markets, they know what their users want, their 335 00:16:40,120 --> 00:16:44,480 Speaker 2: consumers want in this area that tourra data is invaluable 336 00:16:44,520 --> 00:16:47,120 Speaker 2: to things like an AI program. And you can look 337 00:16:47,160 --> 00:16:51,840 Speaker 2: to Reddit, who monetize and leverage their AI content quite successfully. 338 00:16:51,840 --> 00:16:55,240 Speaker 2: They're at ces and they've gone revenue growth. I would 339 00:16:55,240 --> 00:16:57,600 Speaker 2: look at someone where it's radio saying well, what can 340 00:16:57,640 --> 00:17:00,760 Speaker 2: we do with our data to maybe actually lean forward 341 00:17:01,360 --> 00:17:04,960 Speaker 2: and be engaging with technology rather than AI coming at. 342 00:17:04,800 --> 00:17:07,280 Speaker 1: Us and feeling like we're reacting all the time. 343 00:17:08,160 --> 00:17:14,000 Speaker 3: So over the years, the show is really deeply immersed 344 00:17:14,000 --> 00:17:19,240 Speaker 3: in the automotive business and specifically even the connected car 345 00:17:19,400 --> 00:17:23,879 Speaker 3: when we talk about radio or entertainment, and now, of 346 00:17:23,920 --> 00:17:29,520 Speaker 3: course with EV being an important development over the years, 347 00:17:29,560 --> 00:17:32,320 Speaker 3: you add that in what can we expect at this 348 00:17:32,440 --> 00:17:35,960 Speaker 3: show to see in terms of automotive innovation? 349 00:17:36,840 --> 00:17:39,119 Speaker 1: Yeah, of course, Well, I think you're correct. We lean 350 00:17:39,200 --> 00:17:39,440 Speaker 1: into it. 351 00:17:39,840 --> 00:17:43,160 Speaker 2: Arguably, we're the largest mobility show, and I use mobility 352 00:17:43,280 --> 00:17:46,400 Speaker 2: very intentionally because it's all it's more than just the auto, 353 00:17:46,600 --> 00:17:49,040 Speaker 2: and I think that there's four pathways where you'll see 354 00:17:49,080 --> 00:17:53,359 Speaker 2: mobility change. The electric story is still massive, and we'll 355 00:17:53,400 --> 00:17:56,840 Speaker 2: see EV makers from across the world, not just the US, 356 00:17:56,880 --> 00:18:00,760 Speaker 2: but from Korea, from China, even showcasing where electric cars 357 00:18:00,760 --> 00:18:03,920 Speaker 2: are going. But I say electrification very intentionally because we'll 358 00:18:03,920 --> 00:18:08,679 Speaker 2: have companies like Brunswick they're showcasing electric boating technology. And 359 00:18:08,680 --> 00:18:11,760 Speaker 2: then there's a whole infrastructure component to it that's vitally 360 00:18:11,760 --> 00:18:15,200 Speaker 2: important because it's not just about how can we empower 361 00:18:15,200 --> 00:18:18,200 Speaker 2: our cars more efficiently, But when you start introducing new 362 00:18:18,320 --> 00:18:21,880 Speaker 2: charging technology from exhibitors at the show, like link charging 363 00:18:21,920 --> 00:18:24,880 Speaker 2: in LG, you're starting to really think how the. 364 00:18:24,920 --> 00:18:26,399 Speaker 1: Grid is more sustainable. 365 00:18:26,440 --> 00:18:30,920 Speaker 2: There's a sustainability story that's equally important that's occurring under here. 366 00:18:31,359 --> 00:18:34,199 Speaker 2: That's one path. The other two are very linked. This 367 00:18:34,320 --> 00:18:37,840 Speaker 2: is sensors and self driving. Essentially, how do you are 368 00:18:37,880 --> 00:18:40,639 Speaker 2: autonomous vehicles be more correct, actually you would want to 369 00:18:40,640 --> 00:18:43,960 Speaker 2: say autonous vehicles because sometimes boating technology, you're boating, you're 370 00:18:43,960 --> 00:18:47,959 Speaker 2: not driving or flying in some cases, because there will 371 00:18:48,000 --> 00:18:51,560 Speaker 2: be exhibits showcasing autonomous flying vehicles like Invo station. But 372 00:18:52,280 --> 00:18:54,840 Speaker 2: you think about it on autonomus vehicles and you think 373 00:18:54,880 --> 00:18:57,639 Speaker 2: about sensors, which is how do you get more information 374 00:18:57,760 --> 00:19:00,320 Speaker 2: onto your car itself? How does it become essentially a 375 00:19:00,320 --> 00:19:04,800 Speaker 2: software divide vehicle or a smart smart device on wheels, 376 00:19:04,920 --> 00:19:07,639 Speaker 2: And a lot of that is advanced safety data, more 377 00:19:08,040 --> 00:19:10,399 Speaker 2: data referring to just the health of the car in 378 00:19:10,440 --> 00:19:13,360 Speaker 2: general in terms of power output. But then there's also 379 00:19:13,440 --> 00:19:17,119 Speaker 2: an infotainment story, which is a lot more personalized audio, 380 00:19:17,520 --> 00:19:21,399 Speaker 2: a lot more personalized heads up displays, and immersive experiences 381 00:19:21,400 --> 00:19:24,240 Speaker 2: in there. That's the second and third pathways combined. The 382 00:19:24,359 --> 00:19:26,679 Speaker 2: last one is industrials, and I think that's something that 383 00:19:26,760 --> 00:19:29,120 Speaker 2: has really grown in our show over the years, which 384 00:19:29,160 --> 00:19:33,720 Speaker 2: is how do you take wattrification, autonomous capabilities, and others 385 00:19:33,920 --> 00:19:36,440 Speaker 2: and apply it outside the passenger themselves. 386 00:19:36,680 --> 00:19:38,400 Speaker 1: And now our show, you'll see the show. 387 00:19:38,440 --> 00:19:43,000 Speaker 2: You're seeing companies like Caboda, Oshkosh, Deer, Caterpillar, all these 388 00:19:43,040 --> 00:19:46,120 Speaker 2: what I call the big truck companies. The little kidd 389 00:19:46,119 --> 00:19:49,359 Speaker 2: of me is so excited walking across the floor. But 390 00:19:49,680 --> 00:19:51,560 Speaker 2: how are they making a lot of the industries I've 391 00:19:51,600 --> 00:19:55,920 Speaker 2: described that they work in are like mining or heavy industrials. 392 00:19:56,040 --> 00:19:58,560 Speaker 2: How do you make those safer and more sustainable? Well, 393 00:19:58,600 --> 00:20:01,280 Speaker 2: maybe you take some of the innovation that's occurring in 394 00:20:01,320 --> 00:20:04,280 Speaker 2: the automotive that we know and mobility in general and 395 00:20:04,320 --> 00:20:06,920 Speaker 2: apply it to your industry. And that's what's clearly happening 396 00:20:06,960 --> 00:20:07,560 Speaker 2: on the show. 397 00:20:07,359 --> 00:20:12,479 Speaker 3: For this year. So in closing, as a futurist, do 398 00:20:12,560 --> 00:20:17,399 Speaker 3: you size up particular trends at each show that you 399 00:20:17,560 --> 00:20:22,320 Speaker 3: then start dissecting as the year progresses to see if 400 00:20:22,359 --> 00:20:24,760 Speaker 3: it's truly a trend or just a little bit of 401 00:20:24,800 --> 00:20:28,960 Speaker 3: a blip or a fad or a marketing plan or something. 402 00:20:29,240 --> 00:20:32,240 Speaker 3: How do you see the future and is there one 403 00:20:32,320 --> 00:20:35,000 Speaker 3: or two things that you're going to be sniffing around 404 00:20:35,040 --> 00:20:37,160 Speaker 3: for in particular at this year's show? 405 00:20:37,760 --> 00:20:40,119 Speaker 2: Yeah, No, that's God, this is such a good question. 406 00:20:40,640 --> 00:20:43,399 Speaker 2: It's a bit of all of the above, right. Some 407 00:20:43,480 --> 00:20:46,760 Speaker 2: of it is I yeah, as a futurist that I 408 00:20:46,760 --> 00:20:50,800 Speaker 2: think people maybe evokes like I don't know, like Tony 409 00:20:50,880 --> 00:20:55,480 Speaker 2: Stark meets Crystal Ball, predictions of what's happening next. Oftentimes 410 00:20:55,480 --> 00:20:57,520 Speaker 2: it's a lot of reading, and it's a lot of 411 00:20:57,640 --> 00:21:00,560 Speaker 2: just looking and trying to get understan what the show 412 00:21:00,560 --> 00:21:02,080 Speaker 2: looks like. But then when you get to the show, 413 00:21:02,119 --> 00:21:03,920 Speaker 2: the beauty is as much as I can try to 414 00:21:03,920 --> 00:21:07,000 Speaker 2: predict a trend, I'll be surprised. I am surprised every 415 00:21:07,080 --> 00:21:09,160 Speaker 2: year by something on the floor. So what I do 416 00:21:09,240 --> 00:21:11,520 Speaker 2: is I go back and I do start to parse out. 417 00:21:11,400 --> 00:21:12,359 Speaker 1: Well, what are we seeing? 418 00:21:12,640 --> 00:21:14,760 Speaker 2: And I think one of the big ones is last 419 00:21:14,800 --> 00:21:16,560 Speaker 2: year going to the show, every company was like, we're 420 00:21:16,600 --> 00:21:17,240 Speaker 2: an AI company. 421 00:21:17,280 --> 00:21:18,119 Speaker 1: We're an AI company. 422 00:21:18,240 --> 00:21:20,320 Speaker 2: Genera of AI and chat GPT have taken off, and 423 00:21:20,359 --> 00:21:24,320 Speaker 2: they have, but how do you contextualize that into something larger? 424 00:21:25,040 --> 00:21:28,520 Speaker 2: And I think CEUs twenty twenty five and the years 425 00:21:28,560 --> 00:21:32,520 Speaker 2: ahead will really reframe AI where it's not just about 426 00:21:32,520 --> 00:21:37,080 Speaker 2: generative I it's about a fundamental evolution in terms of 427 00:21:37,080 --> 00:21:40,000 Speaker 2: how we relate to tech. There is an old phrase 428 00:21:40,040 --> 00:21:42,439 Speaker 2: and I used to do this consulting with the Coastcard, 429 00:21:42,480 --> 00:21:45,359 Speaker 2: called digital transformation. It's been around for sixteen years. How 430 00:21:45,359 --> 00:21:47,439 Speaker 2: do companies get on the cloud? 431 00:21:47,520 --> 00:21:49,159 Speaker 1: How do they get cyber? How do they get AI? 432 00:21:49,800 --> 00:21:52,280 Speaker 2: I don't think that's an up to date term anymore, 433 00:21:52,320 --> 00:21:54,119 Speaker 2: and I think CS is starting to be the proger 434 00:21:54,160 --> 00:21:54,320 Speaker 2: of this. 435 00:21:54,440 --> 00:21:56,119 Speaker 1: I would say it's digital coexistence. 436 00:21:56,600 --> 00:21:59,800 Speaker 2: Arguably, when we're doing recordings for a lot of I'm 437 00:21:59,840 --> 00:22:02,280 Speaker 2: sure with your podcast you're not just taking a walk 438 00:22:02,280 --> 00:22:05,680 Speaker 2: with people in person. You're using zoom, You're using all 439 00:22:05,720 --> 00:22:09,520 Speaker 2: these digital mediums. You are probably shopping online. Most people 440 00:22:09,600 --> 00:22:13,360 Speaker 2: are working online or in an office, or learning at 441 00:22:13,400 --> 00:22:18,040 Speaker 2: school or online. Arguably, our digital lives are getting to 442 00:22:18,080 --> 00:22:20,320 Speaker 2: the point where they're at parity with our physical lives. 443 00:22:20,520 --> 00:22:24,400 Speaker 2: So how do technologies like AI, cloud and cyber work 444 00:22:24,480 --> 00:22:28,280 Speaker 2: to create this sort of ecosystem. That's the first big 445 00:22:28,320 --> 00:22:31,359 Speaker 2: one that I'm seeing shape up. I was seeing shape 446 00:22:31,400 --> 00:22:33,359 Speaker 2: up ahead of the show, during the show and except 447 00:22:33,400 --> 00:22:37,359 Speaker 2: after the other one is how is sustainability changing? And 448 00:22:37,400 --> 00:22:39,960 Speaker 2: I think this is in relation to the AI component 449 00:22:40,040 --> 00:22:42,720 Speaker 2: as well. AI and data centers take a lot of power, 450 00:22:43,800 --> 00:22:47,360 Speaker 2: especially when you think about the emissions that come from 451 00:22:47,359 --> 00:22:49,359 Speaker 2: the data center and how much it takes to cool them. 452 00:22:49,800 --> 00:22:54,640 Speaker 2: Forty to sixty percent of cooling, AI, cloud, cybersecurity, all 453 00:22:54,720 --> 00:22:57,800 Speaker 2: that is coming from data centers that are pretty much 454 00:22:57,800 --> 00:23:00,440 Speaker 2: found in Dulles Corridor and DC and Virgil the area. 455 00:23:01,400 --> 00:23:02,399 Speaker 1: They take a lot of power. 456 00:23:02,440 --> 00:23:05,720 Speaker 2: And so how do you rethink sustainability to really focus 457 00:23:05,760 --> 00:23:08,720 Speaker 2: on what's called the energy transition? Human society has lived 458 00:23:08,720 --> 00:23:10,960 Speaker 2: through two already, and this is the other part about 459 00:23:10,960 --> 00:23:12,879 Speaker 2: a futurist. You have to know your history, you have 460 00:23:12,960 --> 00:23:15,119 Speaker 2: to know the past. And so the first one was 461 00:23:15,160 --> 00:23:17,639 Speaker 2: we went from firewood to coal as humanity. Then we 462 00:23:17,680 --> 00:23:20,639 Speaker 2: went from coal to oil and fossil fuels. We're on 463 00:23:20,680 --> 00:23:22,640 Speaker 2: the third one now, which is how do we get 464 00:23:22,720 --> 00:23:26,600 Speaker 2: from fossil fuels to renewables because we know that there's 465 00:23:26,640 --> 00:23:29,600 Speaker 2: emissions coming from fossil fuels and we know data centers 466 00:23:29,640 --> 00:23:31,639 Speaker 2: take a lot of them. So we're looking at and 467 00:23:31,680 --> 00:23:34,040 Speaker 2: we're seeing on the show for companies that are focusing 468 00:23:34,080 --> 00:23:37,240 Speaker 2: on renewables like solar and wind. We're seeing companies that 469 00:23:37,280 --> 00:23:41,440 Speaker 2: focus on that cooling issue. So HVAC innovation is more 470 00:23:41,480 --> 00:23:44,320 Speaker 2: important than ever, believe it or not. And what does 471 00:23:44,359 --> 00:23:46,959 Speaker 2: that mean? An energy transition? And I wouldn't be surprised. 472 00:23:47,000 --> 00:23:49,040 Speaker 2: In the year to come, we're already seeing announcements of it. 473 00:23:49,359 --> 00:23:51,919 Speaker 2: Nuclear is going to be forefront of a lot of 474 00:23:51,960 --> 00:23:54,959 Speaker 2: conversations of how does that which is a high energy 475 00:23:55,000 --> 00:24:00,720 Speaker 2: density technology that has zero emissions get involved in this transition. 476 00:24:00,840 --> 00:24:03,000 Speaker 2: So those are the two that I'm watching close to 477 00:24:03,040 --> 00:24:06,760 Speaker 2: this idea digital coexistence and energy transition. And at the 478 00:24:06,840 --> 00:24:08,679 Speaker 2: end of the day, why are they important? Why am 479 00:24:08,680 --> 00:24:10,840 Speaker 2: I spending a lot of time talking about them? They're 480 00:24:10,960 --> 00:24:16,040 Speaker 2: all interconnected through a variety of technologies. Technologies oftentimes are 481 00:24:16,080 --> 00:24:19,400 Speaker 2: not innovating in a vacuum. They're not just breaking through 482 00:24:19,440 --> 00:24:21,880 Speaker 2: in one way or the other. As we've talked today, 483 00:24:22,080 --> 00:24:24,320 Speaker 2: we've talked about how AI relates the music, how music 484 00:24:24,359 --> 00:24:27,040 Speaker 2: relates to data, and we're doing this now between energy 485 00:24:27,320 --> 00:24:30,280 Speaker 2: digital coexistence. That's what I look for in parts through, 486 00:24:30,320 --> 00:24:33,040 Speaker 2: which is where are these overall narratives in the stories. 487 00:24:33,800 --> 00:24:39,200 Speaker 3: Oh, Brian did a great job making very complex issues digestible. 488 00:24:39,760 --> 00:24:40,840 Speaker 1: Thank you so much. 489 00:24:40,640 --> 00:24:44,520 Speaker 3: For all this. Always excited to be at the big show, 490 00:24:44,640 --> 00:24:49,320 Speaker 3: the Consumer Electronics Show in Las Vegas, and thanks for 491 00:24:49,359 --> 00:24:50,399 Speaker 3: being on taking a walk. 492 00:24:50,760 --> 00:24:52,719 Speaker 1: Thank you so much, Buzz, it was an absolute pleasure. 493 00:24:54,200 --> 00:24:56,679 Speaker 1: Thanks for listening to this episode of the Taking a 494 00:24:56,720 --> 00:24:57,600 Speaker 1: Walk podcast. 495 00:24:58,080 --> 00:25:01,280 Speaker 3: Share this and other episodes with you friends, and follow 496 00:25:01,320 --> 00:25:04,560 Speaker 3: us so you never miss an episode. Taking a Walk 497 00:25:04,680 --> 00:25:09,280 Speaker 3: is available on the iHeartRadio app, Apple Podcasts, and wherever 498 00:25:09,320 --> 00:25:10,600 Speaker 3: you get your podcasts.