1 00:00:05,920 --> 00:00:08,760 Speaker 1: Welcome to the Fear and Greed Business Interview. I'm Sean Almam. 2 00:00:08,840 --> 00:00:12,440 Speaker 1: AI isn't just coming, It's well and truly here, and 3 00:00:12,480 --> 00:00:14,520 Speaker 1: those who aren't using it run the risk of being 4 00:00:14,600 --> 00:00:18,120 Speaker 1: left behind. But Australian executives are being warned that while 5 00:00:18,160 --> 00:00:22,520 Speaker 1: they might think they're embracing AI, they're stuck in outdated 6 00:00:22,560 --> 00:00:25,079 Speaker 1: operating models that move too slowly, cost too much and 7 00:00:25,120 --> 00:00:28,720 Speaker 1: deliver too little. Throughout his career, Clive Dickens has held 8 00:00:28,920 --> 00:00:32,080 Speaker 1: senior digital roles at companies like Optus, seven West Media 9 00:00:32,320 --> 00:00:35,640 Speaker 1: and Southern Cross os Stereo, and advised tech businesses like 10 00:00:35,680 --> 00:00:39,680 Speaker 1: Shazam and air Tasker. He's now launched the Meleura Company 11 00:00:39,880 --> 00:00:44,760 Speaker 1: me E l Ior Meleura Company, an international consultancy to 12 00:00:44,880 --> 00:00:48,519 Speaker 1: work with businesses looking to harness the power of AI. 13 00:00:49,080 --> 00:00:51,080 Speaker 1: He's also a great supporter of Fear and Greed and 14 00:00:51,200 --> 00:00:54,120 Speaker 1: joins me in the studio. Clive, Welcome to Fear and Greed. 15 00:00:54,360 --> 00:00:55,120 Speaker 2: Thank you having me. 16 00:00:55,920 --> 00:01:00,520 Speaker 1: So we talk a lot about AI. Do we actually 17 00:01:00,680 --> 00:01:03,280 Speaker 1: know what we're talking about? Do we understand what we're 18 00:01:03,320 --> 00:01:06,880 Speaker 1: talking about? And we're generative? II here is think. 19 00:01:06,760 --> 00:01:09,320 Speaker 2: About I think you need to think about November twenty 20 00:01:09,360 --> 00:01:12,360 Speaker 2: twenty two, because November twenty twenty two is when chat 21 00:01:12,400 --> 00:01:16,280 Speaker 2: GBT became available. Now, machine learning has been around for 22 00:01:16,280 --> 00:01:18,640 Speaker 2: a lot longer than that. In fact, I made my 23 00:01:18,880 --> 00:01:21,600 Speaker 2: first investment in an AA company about seven years ago. 24 00:01:21,840 --> 00:01:25,840 Speaker 2: But there's really that November twenty two moment that was transformatory. 25 00:01:26,280 --> 00:01:29,520 Speaker 2: And not since the arrival of the iPhone and the 26 00:01:29,560 --> 00:01:32,560 Speaker 2: app Store in two thousand and seven or the arrival 27 00:01:32,600 --> 00:01:34,880 Speaker 2: of the World Wide Web in the mid nineties have 28 00:01:34,959 --> 00:01:39,039 Speaker 2: we seen something quite as transformative as this. And really 29 00:01:39,040 --> 00:01:42,560 Speaker 2: it was those gen AI lllms that really changed. 30 00:01:42,280 --> 00:01:46,120 Speaker 1: The lefkay GENII l l m's large language large Generative 31 00:01:46,280 --> 00:01:48,880 Speaker 1: Model Artificial intelligence large language models. 32 00:01:48,920 --> 00:01:51,559 Speaker 2: Yeah yeah, And so obviously we've all used the various 33 00:01:51,560 --> 00:01:57,000 Speaker 2: products I'm sure claud Gemini, Perplexity and chat GPT, but 34 00:01:57,040 --> 00:02:01,640 Speaker 2: the real innovation is around tokenizing that LM to solve 35 00:02:01,680 --> 00:02:05,559 Speaker 2: a business problem with an application. So Google, for example, 36 00:02:05,600 --> 00:02:08,880 Speaker 2: announced their fantastic video tool last week and an amazing 37 00:02:08,880 --> 00:02:12,000 Speaker 2: product called Beam, But the real gem of the story 38 00:02:12,200 --> 00:02:15,519 Speaker 2: inside their announcement was the billions and billions of token 39 00:02:15,600 --> 00:02:21,000 Speaker 2: requests the Gemini had served to third party businesses solving 40 00:02:21,080 --> 00:02:24,880 Speaker 2: complex problems with their LM. So you go back to 41 00:02:24,960 --> 00:02:27,359 Speaker 2: the nineties and people said to you, you really need 42 00:02:27,400 --> 00:02:29,519 Speaker 2: a website. Someone has told me I need a website, 43 00:02:29,600 --> 00:02:32,120 Speaker 2: and of course we knew we definitely needed a website. 44 00:02:32,240 --> 00:02:34,280 Speaker 2: Fast forward to two thousand and eight, someone told you 45 00:02:34,440 --> 00:02:36,280 Speaker 2: you really need an app. I need an app. And 46 00:02:36,320 --> 00:02:39,280 Speaker 2: whether it's Uber or Iirbnb, or our banking apps or 47 00:02:39,360 --> 00:02:41,560 Speaker 2: email apps, the apps changed everything we did on the 48 00:02:41,560 --> 00:02:46,000 Speaker 2: mobile internet. Now you need to deploy a GENI application 49 00:02:46,080 --> 00:02:49,720 Speaker 2: in the application layer to solve complex business problems. And 50 00:02:49,720 --> 00:02:52,760 Speaker 2: that's what we're trying to hope to help large and 51 00:02:52,800 --> 00:02:56,079 Speaker 2: medium sized businesses do here right in Apack and across 52 00:02:56,080 --> 00:02:56,799 Speaker 2: the world. 53 00:02:57,080 --> 00:03:00,400 Speaker 1: So in a way that I will understand it. How 54 00:03:00,440 --> 00:03:02,320 Speaker 1: do you do that? I get where I'm up to 55 00:03:02,480 --> 00:03:07,080 Speaker 1: with this conversation so far. How do you involve yourself 56 00:03:07,120 --> 00:03:09,720 Speaker 1: in generative AI such that you can use these large 57 00:03:09,800 --> 00:03:13,359 Speaker 1: language models to provide solutions to business problems. 58 00:03:13,440 --> 00:03:15,400 Speaker 2: Yeah, so there's probably three core ways of which you 59 00:03:15,440 --> 00:03:17,919 Speaker 2: could start. And the first one most people have started 60 00:03:18,280 --> 00:03:22,560 Speaker 2: by using some form of GPT product or clawed product 61 00:03:22,639 --> 00:03:26,200 Speaker 2: or Gemini. And I encourage businesses small, medium and large 62 00:03:26,440 --> 00:03:29,400 Speaker 2: to move from the free products to the pay products 63 00:03:29,400 --> 00:03:32,239 Speaker 2: as soon as possible, because the pay products are orders 64 00:03:32,240 --> 00:03:35,200 Speaker 2: of magnitude better than the free ones. And that's really 65 00:03:35,200 --> 00:03:37,960 Speaker 2: a really good start, whether it's in homes, businesses, or 66 00:03:38,080 --> 00:03:41,120 Speaker 2: large enterprises. And you're seeing big companies like news corps 67 00:03:41,200 --> 00:03:45,680 Speaker 2: deploy premium products for their journalists and stuff. But the 68 00:03:45,720 --> 00:03:49,240 Speaker 2: real innovation happens when you actually think about using looking 69 00:03:49,320 --> 00:03:52,480 Speaker 2: at the many hundreds of startups who are actually now 70 00:03:52,520 --> 00:03:56,600 Speaker 2: building business applications in the application layer. So, for example, 71 00:03:56,840 --> 00:03:58,800 Speaker 2: there's a business I've just invested in it which is 72 00:03:58,800 --> 00:04:04,320 Speaker 2: a procurement a business that completely automates small and medium 73 00:04:04,400 --> 00:04:08,080 Speaker 2: procurement from everything from a cafe to a small business. 74 00:04:08,600 --> 00:04:12,640 Speaker 2: Because business owners waste huge amount of time doing procurement 75 00:04:12,720 --> 00:04:15,200 Speaker 2: and they obviously want to get the best price. So 76 00:04:15,320 --> 00:04:17,840 Speaker 2: this business really automates all of that. So you can 77 00:04:17,880 --> 00:04:22,160 Speaker 2: deploy this particular business and this product, and you can 78 00:04:22,240 --> 00:04:25,480 Speaker 2: improve your procurement as a small business. And there are 79 00:04:25,720 --> 00:04:30,279 Speaker 2: thousands of businesses now who are using their tokenization to 80 00:04:30,400 --> 00:04:33,160 Speaker 2: think about how they can solve complex business problems. And 81 00:04:33,200 --> 00:04:35,400 Speaker 2: the third way would be if you had your own 82 00:04:35,480 --> 00:04:38,640 Speaker 2: developers and your own product team, and you decided that 83 00:04:38,720 --> 00:04:40,599 Speaker 2: we're going to do it ourselves a bit like you 84 00:04:40,760 --> 00:04:43,159 Speaker 2: might build technology inside a business yourself. You might build 85 00:04:43,160 --> 00:04:45,320 Speaker 2: an app, you might have your own website, you might 86 00:04:45,320 --> 00:04:47,760 Speaker 2: have some of your own technology, and you can actually 87 00:04:48,160 --> 00:04:51,720 Speaker 2: request those tokens and actually solve complex business problems that way. 88 00:04:51,800 --> 00:04:55,240 Speaker 2: So three different ways, the GPTs and premium, the one 89 00:04:55,320 --> 00:04:58,400 Speaker 2: hundreds and maybe even thousands of startups that are solving 90 00:04:58,440 --> 00:05:02,360 Speaker 2: business problems or effectively having your own team and getting 91 00:05:02,360 --> 00:05:02,760 Speaker 2: into it. 92 00:05:02,920 --> 00:05:04,800 Speaker 1: Stay with me, Clive, who will be back in a minute. 93 00:05:11,240 --> 00:05:13,960 Speaker 1: My guest this morning is Clive Dickens, managing partner of 94 00:05:14,040 --> 00:05:18,720 Speaker 1: the Meliora Company. Okay, so I think I know how 95 00:05:18,720 --> 00:05:21,760 Speaker 1: I can get into it. How do you optimize it? 96 00:05:21,800 --> 00:05:23,880 Speaker 1: So what's interesting in what you said just ahead of 97 00:05:23,880 --> 00:05:26,480 Speaker 1: the break, right, so chat GPT I've used. I didn't 98 00:05:26,520 --> 00:05:29,840 Speaker 1: realize that there's going to be the functionality is that 99 00:05:30,240 --> 00:05:33,120 Speaker 1: hundreds or thousands of small companies at the moment working 100 00:05:33,120 --> 00:05:36,320 Speaker 1: on functionalities. So for me and my business, it's like 101 00:05:36,360 --> 00:05:40,560 Speaker 1: getting something off the shelf, yes to just like just 102 00:05:40,600 --> 00:05:47,720 Speaker 1: like yeah, okay, So that kind of ecosphere, I'd imagine 103 00:05:47,760 --> 00:05:50,560 Speaker 1: that there's going to be all sorts of products that 104 00:05:50,640 --> 00:05:54,039 Speaker 1: come out of that. Whereabouts do you think we're going 105 00:05:54,080 --> 00:05:57,080 Speaker 1: to see the big development. Is it at the SME level, 106 00:05:57,160 --> 00:05:59,560 Speaker 1: is it at the big business level? Where do you 107 00:05:59,560 --> 00:06:00,760 Speaker 1: think it's any come from? 108 00:06:01,080 --> 00:06:05,200 Speaker 2: Well, I think this is industrial revolution type change. So 109 00:06:05,240 --> 00:06:08,839 Speaker 2: it's going to be every single level, from our children 110 00:06:08,960 --> 00:06:12,080 Speaker 2: the way they learn at school, through to our families 111 00:06:12,480 --> 00:06:15,839 Speaker 2: and older families around age care. It's going to impact 112 00:06:15,920 --> 00:06:19,240 Speaker 2: and it's already impacting the whole of society. At Meliora, 113 00:06:19,400 --> 00:06:24,160 Speaker 2: we focus on TMT, telco, media and technology. That's our niche, 114 00:06:24,800 --> 00:06:27,080 Speaker 2: and of course in the middle of that is that 115 00:06:27,760 --> 00:06:31,200 Speaker 2: media category. So we're trying to specialize in that area 116 00:06:31,560 --> 00:06:34,839 Speaker 2: and trying to help telecom businesses, media business and technology 117 00:06:34,880 --> 00:06:38,400 Speaker 2: businesses improve their efficiency. And the other key thing for 118 00:06:38,520 --> 00:06:42,320 Speaker 2: us is that we feel that there's business growth opportunities 119 00:06:42,320 --> 00:06:44,360 Speaker 2: that come out of gen AAI. So much of the 120 00:06:44,400 --> 00:06:49,720 Speaker 2: discussion is about efficiency or fear or fear and missing out. Actually, 121 00:06:49,760 --> 00:06:54,360 Speaker 2: we are what we call relentlessly optimistic about GENAI and 122 00:06:54,400 --> 00:06:56,919 Speaker 2: we actually believe that we can help businesses not just 123 00:06:57,240 --> 00:06:59,960 Speaker 2: grow their button bottom line through efficiency, which of course 124 00:07:00,240 --> 00:07:03,479 Speaker 2: is very important business skill, but actually grow the business 125 00:07:03,480 --> 00:07:05,960 Speaker 2: at the top line through revenue as well. So because 126 00:07:05,960 --> 00:07:08,520 Speaker 2: we have very much a growth business and that's where 127 00:07:08,680 --> 00:07:09,679 Speaker 2: we specialize. 128 00:07:09,960 --> 00:07:12,680 Speaker 1: Yeah, it's interesting. Telstra's Vicky Brady last week talked about 129 00:07:12,720 --> 00:07:16,520 Speaker 1: the fact that we are fewer people employed at Telstra 130 00:07:16,640 --> 00:07:19,880 Speaker 1: to provide the same service, which is an efficiency. Suncourt 131 00:07:20,000 --> 00:07:22,000 Speaker 1: was at the same conference run last week and they 132 00:07:22,000 --> 00:07:28,360 Speaker 1: talked about seven thousand cyclone alfred people being serviced via AI. 133 00:07:28,680 --> 00:07:32,200 Speaker 1: But what you're talking about is actually, let's go beyond that. 134 00:07:32,320 --> 00:07:35,160 Speaker 1: Let's think not so much about productivity, although it is 135 00:07:35,200 --> 00:07:37,360 Speaker 1: part of it, It's actually about new markets. 136 00:07:37,360 --> 00:07:40,080 Speaker 2: That type of thing, absolutely new markets. So I'd like 137 00:07:40,120 --> 00:07:42,240 Speaker 2: to see the banks and the telcos and the other 138 00:07:42,280 --> 00:07:46,480 Speaker 2: technology companies talk about new businesses that they could split up, 139 00:07:46,520 --> 00:07:49,040 Speaker 2: new problems they could solve, and new things that they 140 00:07:49,040 --> 00:07:52,720 Speaker 2: could do with this amazing capability. I'm just seeing lots 141 00:07:52,720 --> 00:07:55,560 Speaker 2: of chatter about how it's good for shareholders because it's 142 00:07:55,560 --> 00:07:57,240 Speaker 2: going to be more efficient, How's it going to be 143 00:07:57,280 --> 00:07:59,960 Speaker 2: good for humanity, How's it going to be good for business, 144 00:08:00,000 --> 00:08:02,160 Speaker 2: how is it going to be good for people? And 145 00:08:02,200 --> 00:08:04,280 Speaker 2: that's really why we exist a business. 146 00:08:04,320 --> 00:08:07,679 Speaker 1: They're listening to this this morning, what should they do well? 147 00:08:08,440 --> 00:08:10,760 Speaker 2: One thing I always said to everyone I talked to 148 00:08:10,880 --> 00:08:14,400 Speaker 2: whether it's my family or friends, is really get in 149 00:08:14,480 --> 00:08:17,760 Speaker 2: and start paying for a product, because if if you 150 00:08:17,800 --> 00:08:19,800 Speaker 2: are free, then you are the product. Or we all 151 00:08:19,840 --> 00:08:24,040 Speaker 2: know that, and actually this the sort of entry level products. 152 00:08:24,040 --> 00:08:26,840 Speaker 2: At twenty dollars a month, that's probably not investing enough. 153 00:08:27,160 --> 00:08:28,960 Speaker 2: You know, you need to be probably spending two or 154 00:08:28,960 --> 00:08:31,760 Speaker 2: three hundred dollars even in a small business. Now all happens, 155 00:08:31,800 --> 00:08:34,160 Speaker 2: although that's a lot of money for a lot of people. 156 00:08:34,480 --> 00:08:36,800 Speaker 2: Once you start paying for something, it's amazing how much 157 00:08:36,840 --> 00:08:40,160 Speaker 2: you'll use it because nobody likes wasting money. And that's 158 00:08:40,360 --> 00:08:42,920 Speaker 2: a bit like whether you're going into further education and 159 00:08:42,920 --> 00:08:46,240 Speaker 2: you're trying to improve anything about yourself or you're going 160 00:08:46,240 --> 00:08:49,120 Speaker 2: to the gym. You know, actually this is about self improvement, 161 00:08:49,160 --> 00:08:51,480 Speaker 2: and now this is the next big learning. So make 162 00:08:51,520 --> 00:08:55,120 Speaker 2: a big investment of time and money and then start 163 00:08:55,160 --> 00:08:57,679 Speaker 2: to think about how what business problems you will solve, 164 00:08:57,960 --> 00:08:59,760 Speaker 2: and also talk to companies like us and plenty of 165 00:08:59,800 --> 00:09:03,600 Speaker 2: other companies around the world that help you accelerate solving 166 00:09:03,600 --> 00:09:04,600 Speaker 2: these business problems. 167 00:09:04,640 --> 00:09:06,920 Speaker 1: How fast is it coming? Where will we be in 168 00:09:07,000 --> 00:09:07,640 Speaker 1: five years? 169 00:09:07,960 --> 00:09:11,120 Speaker 2: Well, I'm definitely not a futurist, but I am an optimist. 170 00:09:12,040 --> 00:09:14,720 Speaker 2: I think I've worked for over thirty years, I've seen 171 00:09:14,760 --> 00:09:18,720 Speaker 2: these incredible technological changes in my career in the past. 172 00:09:19,440 --> 00:09:23,840 Speaker 2: This is by far the most significant and the fastest. 173 00:09:25,640 --> 00:09:29,480 Speaker 2: It's We've started a business today that has been based 174 00:09:29,480 --> 00:09:33,880 Speaker 2: across three regions, across Apac America and EMEA, which is 175 00:09:33,960 --> 00:09:37,320 Speaker 2: very ambitious. I've never started a business like I've got 176 00:09:37,400 --> 00:09:39,880 Speaker 2: lots of business, but I've never started a business with 177 00:09:39,960 --> 00:09:42,959 Speaker 2: three offices and three jurisdictions because we think there's so 178 00:09:43,040 --> 00:09:45,760 Speaker 2: much work out there. So if that's an indication of 179 00:09:45,800 --> 00:09:49,320 Speaker 2: the rate of change, then that's hopefully that's a good one. 180 00:09:49,360 --> 00:09:53,680 Speaker 2: So hard to predict how fast, but definitely the fastest 181 00:09:53,679 --> 00:09:55,800 Speaker 2: of anything I've seen in my thirty plus career. 182 00:09:56,160 --> 00:09:57,320 Speaker 1: Is it exciting or scary? 183 00:09:58,720 --> 00:10:02,679 Speaker 2: At Maliora, we have one of our values is relentless optimism, 184 00:10:03,400 --> 00:10:06,760 Speaker 2: and we have to be optimistic about the future. It's 185 00:10:06,960 --> 00:10:08,160 Speaker 2: how you get up in the morning and how you 186 00:10:08,200 --> 00:10:11,800 Speaker 2: motivate yourself. And having worked for over thirty years and 187 00:10:11,840 --> 00:10:16,240 Speaker 2: you see the contribution that technology makes to society and 188 00:10:16,240 --> 00:10:19,200 Speaker 2: the impact that technology can have on society, you sort 189 00:10:19,240 --> 00:10:23,319 Speaker 2: of decide to yourself, well, this new technology, let's be excited. 190 00:10:23,640 --> 00:10:26,840 Speaker 2: Let's make it exciting, and let's shape it for a 191 00:10:26,880 --> 00:10:29,840 Speaker 2: better humanity. And that's the way that we think about 192 00:10:29,840 --> 00:10:30,360 Speaker 2: it each day. 193 00:10:30,440 --> 00:10:32,440 Speaker 1: Clive, thank you for talking to Fear and Greed. Thank 194 00:10:32,440 --> 00:10:35,079 Speaker 1: you very much as Clive Dickens, co founder and managing 195 00:10:35,120 --> 00:10:37,920 Speaker 1: partner of the Melee Aura Company. That's me E l 196 00:10:38,040 --> 00:10:41,800 Speaker 1: Io r a meliora company, a great supporter of this podcast. 197 00:10:41,840 --> 00:10:44,120 Speaker 1: This is the Fear and Greed Business Interview. Join us 198 00:10:44,120 --> 00:10:46,559 Speaker 1: every morning for the full episode of Fear and Greed 199 00:10:46,880 --> 00:10:50,199 Speaker 1: Business news you can use I'm chanelma Enjoy Torday