1 00:00:07,133 --> 00:00:10,453 Speaker 1: You're listening to the Saturday Morning with Jack team podcast 2 00:00:10,573 --> 00:00:11,733 Speaker 1: from News Talks at b. 3 00:00:13,493 --> 00:00:13,613 Speaker 2: SO. 4 00:00:13,653 --> 00:00:16,533 Speaker 3: In the US, nine one one callers come up with 5 00:00:16,573 --> 00:00:20,093 Speaker 3: some very serious issues, sometimes come up with I faced 6 00:00:20,093 --> 00:00:22,493 Speaker 3: with some really serious issues sometimes and other times they 7 00:00:22,533 --> 00:00:26,293 Speaker 3: do come up with really silly things. Anyway, people working 8 00:00:26,293 --> 00:00:28,133 Speaker 3: in nine to one one call centers have been totally 9 00:00:28,133 --> 00:00:30,493 Speaker 3: swept off their feet, and so they've come up with 10 00:00:30,533 --> 00:00:33,613 Speaker 3: a new solution to try and wade through some of 11 00:00:33,653 --> 00:00:37,373 Speaker 3: the slop they end up facing. And of course it's AI. 12 00:00:37,813 --> 00:00:39,933 Speaker 3: Our texpert Paul stein House is here with the details. 13 00:00:39,933 --> 00:00:42,333 Speaker 3: How are they using AI? Paul, Yeah, you. 14 00:00:42,373 --> 00:00:44,213 Speaker 2: Took the line from me as they can you guess 15 00:00:44,253 --> 00:00:48,373 Speaker 2: how In twenty twenty five it's gotta be AI. They're 16 00:00:48,453 --> 00:00:52,973 Speaker 2: using it Jack to help triage. So I assume that 17 00:00:53,093 --> 00:00:56,333 Speaker 2: when you ring nine one one and you end up 18 00:00:56,333 --> 00:00:58,453 Speaker 2: at one of these call centers that has the AI, 19 00:00:59,453 --> 00:01:02,693 Speaker 2: it's going to ask you why you're calling, and then 20 00:01:02,853 --> 00:01:06,853 Speaker 2: it will use its own knowledge. Apparently it's been on 21 00:01:07,453 --> 00:01:10,853 Speaker 2: emergency calls. It probably has some real world knowledge of 22 00:01:10,893 --> 00:01:14,933 Speaker 2: things as well, and if it sounds urgent, it's going 23 00:01:14,973 --> 00:01:17,173 Speaker 2: to right straight over to a person. But if you're 24 00:01:17,253 --> 00:01:20,253 Speaker 2: ringing up about something like a noise complaint or that 25 00:01:20,373 --> 00:01:24,813 Speaker 2: you've lost your wallet or you know, the cats stuck 26 00:01:24,893 --> 00:01:27,933 Speaker 2: up in the tree, then it's probably going to send 27 00:01:27,973 --> 00:01:30,773 Speaker 2: you down a different part that will deprioritize you. In fact, 28 00:01:30,773 --> 00:01:33,373 Speaker 2: it can even like actually fill in one of the 29 00:01:33,413 --> 00:01:36,653 Speaker 2: reports for you. It will help you do that, you know, 30 00:01:36,733 --> 00:01:40,053 Speaker 2: as a conversation, and then we'll file it for you, 31 00:01:40,173 --> 00:01:41,973 Speaker 2: or you can get someone to give you a call back. 32 00:01:42,533 --> 00:01:46,453 Speaker 2: But I'm just having like a thought right that. You know, 33 00:01:46,453 --> 00:01:48,013 Speaker 2: when you call one on one in New Zealand and 34 00:01:48,053 --> 00:01:50,693 Speaker 2: they say police, fire ambulance. 35 00:01:50,413 --> 00:01:52,373 Speaker 3: I'm having the same thought. I can hear yep, they do. 36 00:01:52,493 --> 00:01:54,213 Speaker 3: I can hear where you're going with this, but keep going. 37 00:01:54,693 --> 00:01:57,133 Speaker 2: Can you imagine it doing the prompt like I don't 38 00:01:57,213 --> 00:01:58,133 Speaker 2: quite understand. 39 00:01:58,333 --> 00:02:00,213 Speaker 3: I'm sorry, I didn't catch that. 40 00:02:00,613 --> 00:02:02,933 Speaker 1: Yeah, ah, my ass is on fire. 41 00:02:04,333 --> 00:02:07,893 Speaker 3: I'm sorry, Jack, Please please pet your centers. I didn't 42 00:02:07,973 --> 00:02:08,813 Speaker 3: quite catch. 43 00:02:08,573 --> 00:02:11,773 Speaker 1: That operator operator. 44 00:02:12,493 --> 00:02:16,573 Speaker 3: Yeah, I mean I suppose if if it's better or 45 00:02:16,653 --> 00:02:19,413 Speaker 3: as good as understanding as a person would be, because 46 00:02:19,453 --> 00:02:21,293 Speaker 3: they must get all sorts of people and all sorts 47 00:02:21,333 --> 00:02:24,333 Speaker 3: of frantic situations who are struggling to communicate. You know, 48 00:02:24,453 --> 00:02:26,573 Speaker 3: if if it's as good as a person, then great, 49 00:02:26,613 --> 00:02:28,533 Speaker 3: I'm all for it. If it's not as good as 50 00:02:28,533 --> 00:02:32,093 Speaker 3: a person, then that could be well pretty tricky. 51 00:02:32,613 --> 00:02:35,133 Speaker 2: Here's the thing, right these it's being deployed at some 52 00:02:35,173 --> 00:02:38,413 Speaker 2: of these really small because each county I think over 53 00:02:38,453 --> 00:02:41,373 Speaker 2: here has their own one one, one course system classic 54 00:02:41,613 --> 00:02:44,613 Speaker 2: of course, yeah, I know, I love it, and so 55 00:02:45,333 --> 00:02:48,653 Speaker 2: terribly funded, totally overworked. So your call may not even 56 00:02:48,693 --> 00:02:51,253 Speaker 2: be answered, right, That's the reality is that if your 57 00:02:51,293 --> 00:02:53,093 Speaker 2: call doesn't get that, you may not get answered. So 58 00:02:53,133 --> 00:02:55,133 Speaker 2: would you prefer to talk to an aar yes who 59 00:02:55,173 --> 00:02:58,053 Speaker 2: may get it right? Or talk to no one? Probably? 60 00:02:58,173 --> 00:02:58,493 Speaker 2: Why not? 61 00:02:58,613 --> 00:03:00,813 Speaker 3: I think if that's the binary, then I'm going to 62 00:03:00,853 --> 00:03:03,133 Speaker 3: go with the thank you. Yeah. 63 00:03:03,173 --> 00:03:05,173 Speaker 2: Well that's what they said too, right. They said this 64 00:03:05,213 --> 00:03:07,773 Speaker 2: as a pitch. They like, we aren't replacing jobs. We 65 00:03:07,813 --> 00:03:10,413 Speaker 2: are literally putting the AI into jobs we cannot fill 66 00:03:10,693 --> 00:03:13,693 Speaker 2: because these people are overworked, they're doing overtime. It's like, okay, 67 00:03:13,693 --> 00:03:14,893 Speaker 2: that's probably a good use of AI. 68 00:03:15,133 --> 00:03:18,253 Speaker 3: So tell us about Uncaged, this new company that says 69 00:03:18,293 --> 00:03:22,373 Speaker 3: they can make a durable, animal climate friendly material that 70 00:03:22,613 --> 00:03:25,573 Speaker 3: feels and even smells like leather. 71 00:03:26,253 --> 00:03:29,173 Speaker 2: I know, isn't that crazy? When you get when you 72 00:03:29,173 --> 00:03:31,493 Speaker 2: get into a car and it's got that new car 73 00:03:31,573 --> 00:03:35,253 Speaker 2: smell with the leather. That's to me just a fantastic smell. 74 00:03:35,453 --> 00:03:38,453 Speaker 3: It is amazing. How do you feel about leather seats 75 00:03:38,453 --> 00:03:39,093 Speaker 3: though in a car? 76 00:03:40,013 --> 00:03:41,733 Speaker 2: I don't mind leather seats, see, I mean. 77 00:03:41,693 --> 00:03:45,733 Speaker 3: I'm generally pro leather seats, except that you just want 78 00:03:45,733 --> 00:03:47,493 Speaker 3: to make sure that the air conditioning in the car 79 00:03:47,613 --> 00:03:50,733 Speaker 3: is really good because if you are all sweaty and 80 00:03:50,773 --> 00:03:53,093 Speaker 3: then you're sort of peeling yourself off the seat, that's 81 00:03:53,253 --> 00:03:54,653 Speaker 3: obviously not real peasant. 82 00:03:54,493 --> 00:03:57,053 Speaker 2: You're driving the wrong cars, Jack Tame. You can even 83 00:03:57,093 --> 00:03:59,773 Speaker 2: get cars these days that will cool your seat for you. 84 00:03:59,853 --> 00:04:01,893 Speaker 3: Oh, can you get seat coolers as well as heat? 85 00:04:02,133 --> 00:04:05,613 Speaker 2: Yeah, you just have to get the right options package, 86 00:04:06,053 --> 00:04:06,253 Speaker 2: you know. 87 00:04:06,493 --> 00:04:09,853 Speaker 3: Seats cooler yeah, yeah, yeah, is that weird? 88 00:04:10,373 --> 00:04:13,933 Speaker 2: Yeah? Blows like air and stuff through it. Anyway, they 89 00:04:14,173 --> 00:04:17,213 Speaker 2: have gone into the air. I think like up and 90 00:04:17,253 --> 00:04:19,733 Speaker 2: through it and keep it up and through what Unless 91 00:04:19,733 --> 00:04:23,773 Speaker 2: someone's completely been lying to me, But I believe you 92 00:04:24,733 --> 00:04:25,773 Speaker 2: we can cool your tooshue. 93 00:04:25,853 --> 00:04:28,213 Speaker 3: Yeah, I know, wow, I know that. 94 00:04:28,693 --> 00:04:32,133 Speaker 2: There you go. They've got a client on the list. 95 00:04:32,173 --> 00:04:34,733 Speaker 2: You may not heard of it. Jaguar Land Rover. They 96 00:04:34,733 --> 00:04:37,893 Speaker 2: have just recently partnered with Hayundai. They're going to be 97 00:04:37,893 --> 00:04:41,013 Speaker 2: testing it out for their cars and trucks too. It's 98 00:04:41,733 --> 00:04:43,813 Speaker 2: it's crazy how much leather they use in some of 99 00:04:43,853 --> 00:04:47,333 Speaker 2: these cars. They said it can be between two and 100 00:04:47,373 --> 00:04:50,653 Speaker 2: fourteen cow hides to dick out the interior. So I guess, 101 00:04:50,733 --> 00:04:54,013 Speaker 2: depending on which premium package you pick, if you've got 102 00:04:54,173 --> 00:04:56,053 Speaker 2: all your seats and all your sides and things, you 103 00:04:56,333 --> 00:05:00,053 Speaker 2: have fourteen cows there. So you can imagine like, hey, 104 00:05:00,213 --> 00:05:02,453 Speaker 2: if we can do this without that sounds like it's 105 00:05:02,453 --> 00:05:04,493 Speaker 2: a good thing. They say they can deliver a carbon 106 00:05:04,493 --> 00:05:08,093 Speaker 2: footprint ninety five percent lower than out of leather, But 107 00:05:08,453 --> 00:05:11,333 Speaker 2: their big concern is around how durable it is, and 108 00:05:11,373 --> 00:05:15,213 Speaker 2: their concern is around how it handles heat. And so 109 00:05:15,293 --> 00:05:17,213 Speaker 2: one of the things that they mentioned about this test 110 00:05:17,253 --> 00:05:19,373 Speaker 2: that they're doing is they're putting it in super hot 111 00:05:19,373 --> 00:05:22,733 Speaker 2: temperatures for five hundred hours to make sure that it 112 00:05:22,813 --> 00:05:25,973 Speaker 2: actually stands up to you know, every day use or 113 00:05:25,973 --> 00:05:27,653 Speaker 2: your car sitting there for a few days in the 114 00:05:27,693 --> 00:05:30,453 Speaker 2: hot sun and it doesn't just sort of melt away. 115 00:05:30,533 --> 00:05:32,453 Speaker 2: Because it is a problem. And I don't know if 116 00:05:32,493 --> 00:05:36,653 Speaker 2: you were a person that had an Apple iPhone leather case, 117 00:05:37,253 --> 00:05:38,773 Speaker 2: but they got they did away with them, and they 118 00:05:38,853 --> 00:05:43,173 Speaker 2: changed into this synthetic material they call fine woven, right, 119 00:05:43,213 --> 00:05:45,733 Speaker 2: and they talked it up, said it was going to 120 00:05:45,773 --> 00:05:49,293 Speaker 2: be amazing, and it just was terrible. It didn't hold up, 121 00:05:49,333 --> 00:05:51,853 Speaker 2: and they've had to discontinue it. Right, So leather is 122 00:05:52,133 --> 00:05:55,813 Speaker 2: so durable, it's just not quite so friendly for the cowts. 123 00:05:56,213 --> 00:06:00,453 Speaker 3: Okay, Oh that sounds yeah, it sounds very interesting. I'd 124 00:06:00,453 --> 00:06:02,133 Speaker 3: be fascinated to see how it all kind of works out. 125 00:06:02,173 --> 00:06:05,573 Speaker 3: I guess fascinating to about these sequels you're telling us about, Paul. 126 00:06:05,813 --> 00:06:09,533 Speaker 3: Thank you very for Steinhouse bringing you all the tech 127 00:06:09,573 --> 00:06:12,653 Speaker 3: news you need on Newstalks EDB at seventeen to eleven. 128 00:06:13,453 --> 00:06:16,573 Speaker 1: For more from Saturday Morning with Jack Tame, listen live 129 00:06:16,653 --> 00:06:19,933 Speaker 1: to Newstalk SIDB from nine am Saturday, or follow the 130 00:06:19,973 --> 00:06:21,453 Speaker 1: podcast on iHeartRadio