1 00:00:00,080 --> 00:00:02,720 Speaker 1: Now, sixty eight percent of small and medium businesses in 2 00:00:02,759 --> 00:00:04,760 Speaker 1: New Zealand do not plan to use AI. They either 3 00:00:04,800 --> 00:00:06,760 Speaker 1: don't understand it or they don't think it brings value. 4 00:00:06,800 --> 00:00:10,200 Speaker 1: This is according to a endz Ieer's quarterly survey of 5 00:00:10,240 --> 00:00:12,760 Speaker 1: a bit of business opinion now. Earlier in the year, 6 00:00:12,840 --> 00:00:14,880 Speaker 1: Spark did some research as well, and that found that 7 00:00:14,920 --> 00:00:17,919 Speaker 1: AI will in fact lift productivity way higher than labor 8 00:00:17,920 --> 00:00:20,960 Speaker 1: productivity alone. The head of Data and AI at Spark, 9 00:00:21,120 --> 00:00:23,759 Speaker 1: Matt Bain, is with us now, Hey, Matt, hey, Heather, 10 00:00:24,079 --> 00:00:26,799 Speaker 1: did it surprise you that this many businesses are not 11 00:00:26,840 --> 00:00:27,360 Speaker 1: going to do it? 12 00:00:29,040 --> 00:00:30,520 Speaker 2: I think if you look at March, a lot of 13 00:00:30,520 --> 00:00:33,000 Speaker 2: the US forty percent of US small businesses are using it. 14 00:00:33,080 --> 00:00:37,400 Speaker 2: And so while we're behind, I'm there's a good opportunity 15 00:00:37,440 --> 00:00:41,120 Speaker 2: for us to get get onto this trend. The new 16 00:00:41,159 --> 00:00:43,680 Speaker 2: genitive AI capability is democratize what used to do? You know, 17 00:00:43,680 --> 00:00:45,920 Speaker 2: big companies like Spark have been able to lean into 18 00:00:45,920 --> 00:00:49,040 Speaker 2: the stuff, but it's been not accessible for a lot 19 00:00:49,080 --> 00:00:50,919 Speaker 2: of smaller businesses. So all of a sudden it is 20 00:00:51,479 --> 00:00:54,480 Speaker 2: and we're really focused on how can we help educate 21 00:00:54,520 --> 00:00:55,920 Speaker 2: small businesses to make the most of it. 22 00:00:56,920 --> 00:00:59,040 Speaker 1: Why is it that they don't think that they need 23 00:00:59,080 --> 00:00:59,560 Speaker 1: to use it. 24 00:01:01,040 --> 00:01:03,760 Speaker 2: I think people don't realize how powerful it is. So 25 00:01:04,040 --> 00:01:05,480 Speaker 2: a lot of people think it's like Google and you 26 00:01:05,520 --> 00:01:07,920 Speaker 2: can ask it to create an image for you or 27 00:01:07,959 --> 00:01:10,840 Speaker 2: answer a question. But you know, I'm in marketing, so 28 00:01:10,880 --> 00:01:13,559 Speaker 2: it can write your marketing plan, it can create your advertising. 29 00:01:14,040 --> 00:01:16,840 Speaker 2: It can take your existing plan and act as a 30 00:01:16,840 --> 00:01:18,960 Speaker 2: consultant to tell you how to improve it. So it 31 00:01:18,959 --> 00:01:23,160 Speaker 2: can really help to a small business which is resource 32 00:01:23,160 --> 00:01:25,800 Speaker 2: constrained to do much better than it's currently doing. 33 00:01:26,640 --> 00:01:29,440 Speaker 1: But why don't businesses realize this? They're not fiddled with it. 34 00:01:30,720 --> 00:01:33,480 Speaker 2: I think there's some training required. So one of the 35 00:01:33,520 --> 00:01:36,880 Speaker 2: complexities is that these large language models are trained on 36 00:01:37,319 --> 00:01:40,479 Speaker 2: the entire world's information, so every book that can be read, 37 00:01:40,959 --> 00:01:43,480 Speaker 2: and therefore if you ask it a general question, it 38 00:01:43,600 --> 00:01:45,760 Speaker 2: can it can hallucinate or give you a weird answer. 39 00:01:45,959 --> 00:01:48,040 Speaker 2: So there's some training required to go how do you 40 00:01:48,080 --> 00:01:49,840 Speaker 2: give it the context required so it gives you the 41 00:01:49,920 --> 00:01:52,440 Speaker 2: right answer. And so what we're focusing on is how 42 00:01:52,440 --> 00:01:55,120 Speaker 2: do we train businesses and business leaders in this country 43 00:01:55,440 --> 00:01:57,040 Speaker 2: to get the most out of the platforms they have 44 00:01:57,040 --> 00:01:57,480 Speaker 2: access to. 45 00:01:57,840 --> 00:01:59,120 Speaker 1: I don't know if you found this I mean, you 46 00:01:59,120 --> 00:02:01,760 Speaker 1: probably haven't because you seem like somebody who's quite o 47 00:02:01,920 --> 00:02:04,480 Speaker 1: fay with technology. But I found the whole thing quite fiddly, 48 00:02:04,960 --> 00:02:07,440 Speaker 1: Like I had to go in and log in, create 49 00:02:07,440 --> 00:02:09,760 Speaker 1: an account, which is not unusual, but then you have 50 00:02:09,800 --> 00:02:12,000 Speaker 1: to go into this like what it feels like quite 51 00:02:12,000 --> 00:02:15,800 Speaker 1: a complicated little platform to be able to ask the 52 00:02:15,919 --> 00:02:18,840 Speaker 1: single question. Like it just isn't as user friendly as Google, 53 00:02:18,880 --> 00:02:19,480 Speaker 1: do you know what I mean? 54 00:02:20,840 --> 00:02:22,960 Speaker 2: Yeah, there's a little bit more complexity. So I agree 55 00:02:22,960 --> 00:02:25,320 Speaker 2: here that and that's why we think it's important that 56 00:02:25,320 --> 00:02:29,160 Speaker 2: we focus on educating businesses because once you do get it, 57 00:02:29,160 --> 00:02:31,360 Speaker 2: it's a very quick learning curve. So after a week 58 00:02:31,760 --> 00:02:33,840 Speaker 2: you can be really competent. But it's not quite as 59 00:02:33,880 --> 00:02:35,399 Speaker 2: simple as Google with a single search box. 60 00:02:35,440 --> 00:02:39,120 Speaker 1: You're right, okay, right, So if you get on board 61 00:02:39,240 --> 00:02:43,080 Speaker 1: as a smaller business enterprise, a smaller medium sized business enterprise, 62 00:02:43,480 --> 00:02:46,200 Speaker 1: how much can this actually help? Do you think. 63 00:02:48,480 --> 00:02:50,960 Speaker 2: It can? It help in every aspect of your business? 64 00:02:51,000 --> 00:02:52,760 Speaker 2: And so I think a good rule that I always 65 00:02:52,760 --> 00:02:54,760 Speaker 2: tell my team and small businesses I meet is you 66 00:02:54,760 --> 00:02:56,720 Speaker 2: should be using it ten times a day already because 67 00:02:56,760 --> 00:02:59,040 Speaker 2: there's a bunch of stuff you're doing. You know writing emails, 68 00:02:59,080 --> 00:03:04,919 Speaker 2: replying to emails, creating reports. That this thing can augment 69 00:03:04,960 --> 00:03:07,560 Speaker 2: your capability. You can do it much faster, so it's 70 00:03:07,560 --> 00:03:09,679 Speaker 2: really easy to get started on small tasks. There's a 71 00:03:09,720 --> 00:03:11,560 Speaker 2: lot more complexity you can get into, but really what 72 00:03:11,560 --> 00:03:13,840 Speaker 2: we're focusing on is how do you get started and 73 00:03:13,880 --> 00:03:16,280 Speaker 2: start to appreciate the value it can deliver really quickly. 74 00:03:16,960 --> 00:03:18,440 Speaker 1: I might have to get into it, Matt, Thank you 75 00:03:18,560 --> 00:03:21,400 Speaker 1: very much, Really appreciate it. Matt daan head of data 76 00:03:21,440 --> 00:03:24,880 Speaker 1: at ai OH Data and AI at Spart. For more 77 00:03:24,960 --> 00:03:28,240 Speaker 1: from Hither Duplessy Allen Drive, listen live to news talks. 78 00:03:28,280 --> 00:03:31,480 Speaker 2: It'd be from four pm weekdays, or follow the podcast 79 00:03:31,560 --> 00:03:32,519 Speaker 2: on iHeartRadio