1 00:00:04,160 --> 00:00:07,560 Speaker 1: Hello, Hello. This is Smart Talks with IBM, a podcast 2 00:00:07,600 --> 00:00:12,159 Speaker 1: from Pushkin Industries, I Heart Radio and IBM about what 3 00:00:12,200 --> 00:00:15,360 Speaker 1: it means to look at today's most challenging problems in 4 00:00:15,400 --> 00:00:22,440 Speaker 1: a new way. I'm Maltain Baba. In this episode, we're 5 00:00:22,440 --> 00:00:26,960 Speaker 1: going to dive into sustainability and specifically how customers and 6 00:00:27,080 --> 00:00:31,880 Speaker 1: businesses want to decrease their carbon footprint and verify that 7 00:00:31,960 --> 00:00:36,000 Speaker 1: their efforts are accurately calculated. I'll be digging into this 8 00:00:36,040 --> 00:00:40,880 Speaker 1: topic with Jason Kelly, General Manager IBM Strategic Partners. It's 9 00:00:40,920 --> 00:00:43,480 Speaker 1: the data that's in the system. It's the data that's 10 00:00:43,560 --> 00:00:47,360 Speaker 1: in our partner's capabilities such as SAP, that's from the 11 00:00:47,440 --> 00:00:51,800 Speaker 1: source all the way to consumption. And where there's more data, 12 00:00:51,840 --> 00:00:55,640 Speaker 1: which there always will be, there's more insight and there's 13 00:00:55,680 --> 00:00:59,440 Speaker 1: more progress. You may remember Jason Kelly from his conversations 14 00:00:59,600 --> 00:01:04,040 Speaker 1: with Nathan Strickland of Tech Stuff in earlier episodes of 15 00:01:04,080 --> 00:01:08,200 Speaker 1: Smart Talks. Jason is working closely with IBM partners like 16 00:01:08,400 --> 00:01:12,320 Speaker 1: SAP to think of creative solutions for businesses to measure 17 00:01:12,560 --> 00:01:17,199 Speaker 1: and offset their environmental impact. I will also be speaking 18 00:01:17,240 --> 00:01:20,759 Speaker 1: with Mark Rolfe, Senior Vice president, head of Strategic partners 19 00:01:21,000 --> 00:01:26,920 Speaker 1: partner ecosystem success at SAP people who are making progress 20 00:01:27,000 --> 00:01:31,000 Speaker 1: from a manufacturing perspective, and our applications and services from 21 00:01:31,080 --> 00:01:34,640 Speaker 1: from SAP and IBM help make that much more transparent. 22 00:01:35,480 --> 00:01:38,840 Speaker 1: Prior to his current role, Mark served as global vice 23 00:01:38,959 --> 00:01:43,760 Speaker 1: president responsible for ecosystem Innovation and once worked as the 24 00:01:43,800 --> 00:01:48,440 Speaker 1: global account director for IBM. Together, we'll discuss the ways 25 00:01:48,520 --> 00:01:52,760 Speaker 1: businesses can work together and use technology like blockchain to 26 00:01:52,920 --> 00:01:57,880 Speaker 1: create more sustainable operations with more certainty about their actual 27 00:01:58,000 --> 00:02:08,520 Speaker 1: impact and footprint. That's you mentioned your partnership. I'm an 28 00:02:08,560 --> 00:02:11,760 Speaker 1: outsider to your world. Naively, I would have thought, aren't 29 00:02:11,760 --> 00:02:17,720 Speaker 1: you guys competitors? Why? What what's going on here? That 30 00:02:18,000 --> 00:02:19,920 Speaker 1: I would have thought that you two would be at 31 00:02:19,960 --> 00:02:23,720 Speaker 1: each other's throats, and instead you're you're talking, You're like 32 00:02:23,840 --> 00:02:26,520 Speaker 1: your old friends. Can you talk a little bit about 33 00:02:26,720 --> 00:02:30,480 Speaker 1: the role of these kinds of strategic partnerships. So there's 34 00:02:30,480 --> 00:02:35,239 Speaker 1: a long heritage share of collaboration between the two companies. 35 00:02:35,800 --> 00:02:37,880 Speaker 1: But but to your question, I think, you know, I 36 00:02:37,960 --> 00:02:40,359 Speaker 1: think what the realization, at least in our industry is. 37 00:02:40,520 --> 00:02:43,400 Speaker 1: You know, there's the the the amount of collaboration that 38 00:02:43,520 --> 00:02:46,600 Speaker 1: needs to exist today. Everyone cannot do everything and you 39 00:02:46,680 --> 00:02:49,880 Speaker 1: need to focus UM and so s a P. You know, 40 00:02:50,240 --> 00:02:52,000 Speaker 1: just taking an example of IBM and s a P 41 00:02:52,560 --> 00:02:55,120 Speaker 1: the collaboration of the biggest part of the collaboration from 42 00:02:55,160 --> 00:02:58,960 Speaker 1: my perspective is having the ability to run our platform 43 00:02:59,080 --> 00:03:02,880 Speaker 1: and our application and for specific industries. Like we've been 44 00:03:02,919 --> 00:03:07,040 Speaker 1: talking about, STEP has a very good technology basis UM 45 00:03:07,360 --> 00:03:10,200 Speaker 1: for for many industries of our twenty seven industries. But 46 00:03:10,320 --> 00:03:13,440 Speaker 1: the special sauce comes in from companies like IBM that 47 00:03:13,560 --> 00:03:18,320 Speaker 1: have the expertise from their services divisions around enhancing and 48 00:03:18,560 --> 00:03:23,639 Speaker 1: invested class implementations of our technology in those industries. So 49 00:03:23,760 --> 00:03:26,280 Speaker 1: bringing that know how, bringing that subject matter of expertise 50 00:03:26,320 --> 00:03:28,919 Speaker 1: and making it very relevant from an industry perspective, and 51 00:03:29,080 --> 00:03:33,279 Speaker 1: building on top of SAP platforms with that that expertise, 52 00:03:33,480 --> 00:03:35,720 Speaker 1: it's a it's a huge piece of our business. We 53 00:03:35,800 --> 00:03:39,000 Speaker 1: will never invest in that type of expertise. We rely 54 00:03:39,120 --> 00:03:43,080 Speaker 1: on our ecosystem and in this example, IBM and and 55 00:03:43,160 --> 00:03:46,240 Speaker 1: that's been the basis of of of the success we've 56 00:03:46,280 --> 00:03:50,119 Speaker 1: had it well over fifty years now between the two organizations. 57 00:03:50,720 --> 00:03:54,280 Speaker 1: What is that that collaboration look like. I mean, is 58 00:03:54,320 --> 00:03:57,560 Speaker 1: there literally an office from both organizations where people go 59 00:03:57,760 --> 00:04:01,360 Speaker 1: together and like we were talking about utilities, are is 60 00:04:01,360 --> 00:04:04,320 Speaker 1: there a team made up of people from both organizations 61 00:04:04,360 --> 00:04:07,240 Speaker 1: that are traveling together to see the customer answers. Yes, 62 00:04:07,600 --> 00:04:11,720 Speaker 1: think of a couple of clients IBM and s a 63 00:04:11,840 --> 00:04:15,160 Speaker 1: P sitting down around the table actively seeing how do 64 00:04:15,280 --> 00:04:17,800 Speaker 1: we work with where you are to get to where 65 00:04:18,000 --> 00:04:20,240 Speaker 1: you want to be and what are the best and 66 00:04:20,440 --> 00:04:23,960 Speaker 1: best prioritized steps you can take to get there. Yeah. 67 00:04:24,240 --> 00:04:26,279 Speaker 1: I think that the best way to explain at Malcolm 68 00:04:26,440 --> 00:04:28,600 Speaker 1: is that you know, we have teams that come together 69 00:04:29,320 --> 00:04:31,920 Speaker 1: and and look at what the market really needs, what 70 00:04:32,120 --> 00:04:35,159 Speaker 1: our customers really asking for, and actually working together between 71 00:04:35,200 --> 00:04:38,920 Speaker 1: IBM and s a P with customers to build solutions 72 00:04:39,000 --> 00:04:41,480 Speaker 1: number one and then take them to market and go 73 00:04:41,680 --> 00:04:44,120 Speaker 1: talk to the the larger set of customers in a 74 00:04:44,160 --> 00:04:48,159 Speaker 1: particular industry or a particular region together. So we actually 75 00:04:48,360 --> 00:04:51,080 Speaker 1: looked at the whole life cycle between how we innovate 76 00:04:51,120 --> 00:04:54,080 Speaker 1: together and build new solutions with input from actual customers 77 00:04:54,480 --> 00:04:56,480 Speaker 1: all the way through to scaling that in in in 78 00:04:56,560 --> 00:05:00,559 Speaker 1: a global fashion. So it is a very collaborative setting 79 00:05:00,640 --> 00:05:02,880 Speaker 1: that that we really have and I think that's part 80 00:05:02,960 --> 00:05:06,240 Speaker 1: of what you know from a technology perspective, Many technology 81 00:05:06,240 --> 00:05:08,880 Speaker 1: companies are really understand that the ecosystem is the real 82 00:05:09,000 --> 00:05:12,240 Speaker 1: power out there, you know, working with partners, working and 83 00:05:12,360 --> 00:05:16,440 Speaker 1: collaborating together to to really advanced goals, whether sustainability or 84 00:05:16,480 --> 00:05:20,240 Speaker 1: other initiatives. Yeah, Jason, can you talk about how many 85 00:05:20,720 --> 00:05:24,240 Speaker 1: partnerships in this in the sustainability world does IBM have. 86 00:05:26,200 --> 00:05:29,880 Speaker 1: So we look across ours, we have up to uh 87 00:05:30,240 --> 00:05:34,800 Speaker 1: twelve active partnerships across our strategic partners but that would 88 00:05:34,800 --> 00:05:37,159 Speaker 1: be limiting just to look at our largest clients because 89 00:05:37,279 --> 00:05:43,200 Speaker 1: within those there are other ecosystem players specific to where 90 00:05:43,320 --> 00:05:46,440 Speaker 1: they are in the geography and by industry, and so 91 00:05:47,440 --> 00:05:49,960 Speaker 1: we're only limited to the extent that we can be 92 00:05:50,080 --> 00:05:53,920 Speaker 1: inclusive to that that that number of players in that ecosystem. 93 00:05:54,200 --> 00:05:57,320 Speaker 1: So that's why it does demand an open type of 94 00:05:57,400 --> 00:06:01,840 Speaker 1: platform that allows these players to come together, because you 95 00:06:01,960 --> 00:06:04,599 Speaker 1: can't do it on one type of technology, you can't 96 00:06:04,600 --> 00:06:07,440 Speaker 1: do it in one cloud. And this is where you 97 00:06:07,520 --> 00:06:10,800 Speaker 1: know your your question about don't you compete, It's like, well, 98 00:06:10,839 --> 00:06:12,880 Speaker 1: of course we do in times, there's things that we 99 00:06:13,120 --> 00:06:17,160 Speaker 1: that but the opportunity for the tides to rise all 100 00:06:17,240 --> 00:06:19,880 Speaker 1: boats is bigger than us fighting in what would be 101 00:06:20,000 --> 00:06:23,440 Speaker 1: perceived as a zero sum game, because it's not. In fact, 102 00:06:23,800 --> 00:06:28,160 Speaker 1: the the the challenges now, Malcolm are so complex that 103 00:06:28,400 --> 00:06:32,200 Speaker 1: one company by itself can't solve that problem. So when 104 00:06:32,240 --> 00:06:35,200 Speaker 1: you hear say, you know, yes, sustainability as a team sport, 105 00:06:35,240 --> 00:06:37,080 Speaker 1: it's not just because it's a cool way to say it. 106 00:06:37,360 --> 00:06:40,159 Speaker 1: It's the truth. It requires all of us. We wanted 107 00:06:40,160 --> 00:06:42,920 Speaker 1: to talk to me about sustainability and I you know, 108 00:06:43,000 --> 00:06:46,120 Speaker 1: it's a word that gets banded about a lot, and 109 00:06:46,240 --> 00:06:49,000 Speaker 1: I wanted to start with the two of you telling 110 00:06:49,040 --> 00:06:52,960 Speaker 1: me what is your definition of that word. I'll jump 111 00:06:53,080 --> 00:06:57,320 Speaker 1: right in. And when I think of sustainability, I believe 112 00:06:57,440 --> 00:07:03,600 Speaker 1: that is real trust, in transparency, in making sure that 113 00:07:03,800 --> 00:07:07,560 Speaker 1: we as humans have a planet that's going to be 114 00:07:07,680 --> 00:07:11,720 Speaker 1: there now and in the future, by employing methods that 115 00:07:12,280 --> 00:07:17,320 Speaker 1: can be practiced by everyone in a way that is 116 00:07:17,400 --> 00:07:22,480 Speaker 1: self sustaining. When I think of sustainability, I think of, 117 00:07:22,760 --> 00:07:25,560 Speaker 1: you know, organizations trying to make a better place for 118 00:07:25,680 --> 00:07:28,800 Speaker 1: the for the future generations of our planet. What I 119 00:07:28,840 --> 00:07:30,760 Speaker 1: think about is how do we make it better now? 120 00:07:30,880 --> 00:07:33,920 Speaker 1: How do we start progressing towards a better planet and 121 00:07:34,000 --> 00:07:36,960 Speaker 1: making the world better. When I think of this, is 122 00:07:37,040 --> 00:07:38,960 Speaker 1: our naive question. But when I think of that word, 123 00:07:39,480 --> 00:07:44,880 Speaker 1: the first people who come to mind would be, you know, airlines, automakers, 124 00:07:45,720 --> 00:07:51,200 Speaker 1: people who have obvious large carbon footprints, who are making 125 00:07:51,440 --> 00:07:54,360 Speaker 1: things that are highly energy intensive that you know, you 126 00:07:54,400 --> 00:07:57,600 Speaker 1: could we could all give the reasons. Tell me why 127 00:07:57,720 --> 00:08:01,160 Speaker 1: tech companies such as yours also need to be as 128 00:08:01,800 --> 00:08:05,680 Speaker 1: mindful of that. Well, I'll tell you, Malcolm. Your question 129 00:08:05,840 --> 00:08:12,160 Speaker 1: started with you think of people, and then your example 130 00:08:12,240 --> 00:08:16,760 Speaker 1: went straight to airlines, and I think in there is 131 00:08:17,120 --> 00:08:19,880 Speaker 1: is part of what we see as important. Is it? 132 00:08:20,080 --> 00:08:24,480 Speaker 1: It's a B two P type of operation business to people, 133 00:08:24,720 --> 00:08:26,960 Speaker 1: where people all of us And so that's the first 134 00:08:27,040 --> 00:08:28,720 Speaker 1: thought as we were trying to make sure that we're 135 00:08:28,760 --> 00:08:30,480 Speaker 1: taking care of each other, and so if we think 136 00:08:30,520 --> 00:08:34,920 Speaker 1: of people being the center, you know, we formalized our 137 00:08:35,160 --> 00:08:38,120 Speaker 1: efforts at IBM in the seventies to say, look, we 138 00:08:38,320 --> 00:08:42,439 Speaker 1: want to be forward thinking and environmental management for decades 139 00:08:42,520 --> 00:08:46,120 Speaker 1: to come, and we have. And that's where we see 140 00:08:46,200 --> 00:08:49,160 Speaker 1: the commitment being made. Is it look if we can 141 00:08:49,240 --> 00:08:52,520 Speaker 1: do it together and not alone. And that's as I'm 142 00:08:52,559 --> 00:08:54,760 Speaker 1: here with Mark, I'm proud to say we see it 143 00:08:54,920 --> 00:08:57,800 Speaker 1: the same way with regards to an ecosystem, and it 144 00:08:57,960 --> 00:09:01,720 Speaker 1: takes all of us working together because sustainability is truly 145 00:09:01,760 --> 00:09:05,679 Speaker 1: a team sport. I think what we see from s 146 00:09:05,800 --> 00:09:08,679 Speaker 1: a p from from our side, we we we are 147 00:09:08,840 --> 00:09:14,199 Speaker 1: very focused on supporting transactions across most of you know, 148 00:09:14,320 --> 00:09:17,959 Speaker 1: the enterprise business in the world. Of the world's transactions 149 00:09:18,120 --> 00:09:21,760 Speaker 1: run through our systems. Those are transactions that support product, 150 00:09:22,600 --> 00:09:27,360 Speaker 1: the manufacturing of product, and the rollout of product. UM. 151 00:09:27,440 --> 00:09:29,680 Speaker 1: So if we think about it from that perspective, we're 152 00:09:29,800 --> 00:09:33,599 Speaker 1: we are very interested in making sure that those manufacturing practices, 153 00:09:33,800 --> 00:09:38,439 Speaker 1: the design practices around those products are efficient, are transparent, 154 00:09:39,000 --> 00:09:42,600 Speaker 1: and are ethically progressive in the way that these companies 155 00:09:42,640 --> 00:09:46,439 Speaker 1: are manufacturing or running their businesses. So so that from 156 00:09:46,440 --> 00:09:49,040 Speaker 1: our perspective, it does tie back to people. But we 157 00:09:49,120 --> 00:09:50,839 Speaker 1: take a step back and look at the products that 158 00:09:50,880 --> 00:09:53,520 Speaker 1: are being manufactured or the services being offered to people 159 00:09:53,880 --> 00:09:56,360 Speaker 1: and how we can be more transparent around that from 160 00:09:56,400 --> 00:09:59,760 Speaker 1: a sustainability perspective. Can you give you an example mark 161 00:10:00,880 --> 00:10:03,800 Speaker 1: of what you're talking about. Yeah, So, if we think 162 00:10:03,800 --> 00:10:07,720 Speaker 1: about a manufacturing floor UM and all of the data 163 00:10:07,800 --> 00:10:11,719 Speaker 1: that goes into designing a product, to actually building a 164 00:10:11,840 --> 00:10:16,600 Speaker 1: product and then actually distributing a product s AP systems 165 00:10:17,520 --> 00:10:21,960 Speaker 1: along with our partners like IBM, we put together applications 166 00:10:22,200 --> 00:10:27,559 Speaker 1: and overall systems that monitor that data that allows the 167 00:10:27,640 --> 00:10:32,160 Speaker 1: companies to build, manufacture, and distribute those systems. So we 168 00:10:32,240 --> 00:10:38,840 Speaker 1: have visibility into cow companies are actually distributing, manufacturing these products. 169 00:10:39,480 --> 00:10:42,400 Speaker 1: We can make that much more transparent. We can start 170 00:10:42,440 --> 00:10:46,080 Speaker 1: to measure the progress they're making against certain sustainability goals 171 00:10:46,720 --> 00:10:49,480 Speaker 1: and and start to to really drive a conversation around 172 00:10:49,480 --> 00:10:53,000 Speaker 1: sustainability around a product or a an area. So I 173 00:10:53,080 --> 00:10:55,720 Speaker 1: think that's key to what we see around whether it's 174 00:10:55,720 --> 00:11:00,760 Speaker 1: circular economy in terms of understanding green house effect on 175 00:11:01,240 --> 00:11:05,240 Speaker 1: manufacturing abilities of certain customers of ours, or if we 176 00:11:05,320 --> 00:11:09,360 Speaker 1: look at overall you know, carbon neutrality goals, etcetera. People 177 00:11:09,360 --> 00:11:13,000 Speaker 1: who are making progress from a manufacturing perspective, and our 178 00:11:13,040 --> 00:11:17,040 Speaker 1: applications and services from from SAP and IBM help make 179 00:11:17,120 --> 00:11:21,120 Speaker 1: that much more transparent. If I'm a a client, a 180 00:11:21,200 --> 00:11:24,600 Speaker 1: customer of yours, and I'm interested in addressing this issue, 181 00:11:25,240 --> 00:11:28,079 Speaker 1: one place I might look for guidance would be the 182 00:11:28,160 --> 00:11:31,360 Speaker 1: kind of data that would come from your software. Is 183 00:11:31,400 --> 00:11:34,040 Speaker 1: what you're saying, Yeah, if you if you think about 184 00:11:34,080 --> 00:11:37,520 Speaker 1: the overall like value chain of of what we deal 185 00:11:37,600 --> 00:11:41,160 Speaker 1: with in and from the customers. There's manufacturers, there's own consumers, etcetera. 186 00:11:41,640 --> 00:11:44,400 Speaker 1: Where along that value chain can we impact you know, 187 00:11:44,920 --> 00:11:49,320 Speaker 1: sustainable goals and drive towards more transparencies to improve upon those. 188 00:11:49,400 --> 00:11:53,200 Speaker 1: So that's really what we're we're looking at from our perspective. Jason, 189 00:11:53,240 --> 00:11:57,120 Speaker 1: can you talk a little bit about ibm S position 190 00:11:57,200 --> 00:11:59,880 Speaker 1: in all of this. When does IBM as a company's 191 00:12:00,000 --> 00:12:02,880 Speaker 1: are thinking seriously about this issue and how big of 192 00:12:02,920 --> 00:12:05,440 Speaker 1: a transition is it in the priorities of the company. 193 00:12:06,080 --> 00:12:10,280 Speaker 1: We've been doing this for decades with regards to making 194 00:12:10,280 --> 00:12:13,040 Speaker 1: sure that we're focused on the environment, the returns that 195 00:12:13,679 --> 00:12:17,280 Speaker 1: we get, our clients get, and working across that ecosystem. 196 00:12:17,280 --> 00:12:20,360 Speaker 1: As I said, we formalized in the saying, look, this 197 00:12:20,720 --> 00:12:26,720 Speaker 1: is a priority for our company, and we just announced 198 00:12:27,040 --> 00:12:31,360 Speaker 1: our latest commitment, which is that zero greenhouse gas emissions 199 00:12:31,400 --> 00:12:36,200 Speaker 1: by We did this just at the beginning of this year. 200 00:12:37,000 --> 00:12:42,439 Speaker 1: So that's the commitment that we've recently made. But you 201 00:12:42,520 --> 00:12:45,719 Speaker 1: called out something here that's key and Mark echoed it 202 00:12:45,920 --> 00:12:48,880 Speaker 1: as this thought of data. It's the data that's in 203 00:12:49,040 --> 00:12:52,040 Speaker 1: the system, It's the data that's in our partners capabilities 204 00:12:52,080 --> 00:12:55,520 Speaker 1: such as S a P that's from the source all 205 00:12:55,559 --> 00:12:59,040 Speaker 1: the way to consumption. And where there's more data, which 206 00:12:59,040 --> 00:13:03,280 Speaker 1: there always will be, there's more insight and there's more progress. 207 00:13:03,320 --> 00:13:07,839 Speaker 1: And if you think more data, more collaboration, there's even 208 00:13:07,920 --> 00:13:12,080 Speaker 1: more insight which gets faster progress. And so our position 209 00:13:12,160 --> 00:13:14,440 Speaker 1: in this is to say, look, can we create open 210 00:13:14,600 --> 00:13:19,080 Speaker 1: platforms of innovation because and I'll borrow from you, Malcolm, 211 00:13:19,120 --> 00:13:22,719 Speaker 1: that's where you know innovation comes in in desperate situations. 212 00:13:22,760 --> 00:13:26,520 Speaker 1: From the David and Goliathe example is that you're desperate, 213 00:13:26,559 --> 00:13:28,360 Speaker 1: so you reach out and you're saying, look, how can 214 00:13:28,559 --> 00:13:31,959 Speaker 1: I you know, find that that innovation? And it's through 215 00:13:32,040 --> 00:13:37,480 Speaker 1: this collaborative technology because also ultimately it is the consumer 216 00:13:37,800 --> 00:13:40,680 Speaker 1: that is asking for this. We know this because consumers 217 00:13:40,760 --> 00:13:46,360 Speaker 1: now you know other consumers were purpose driven before the 218 00:13:46,440 --> 00:13:50,160 Speaker 1: pandemic and now that's fifty and their purpose driven mean 219 00:13:50,320 --> 00:13:53,560 Speaker 1: companies with a purpose that are driving after things such 220 00:13:53,640 --> 00:13:59,960 Speaker 1: as sustainability. M HM. Can you talk a little bit 221 00:14:00,000 --> 00:14:04,959 Speaker 1: more on this in concrete terms? What does a focus 222 00:14:05,080 --> 00:14:09,000 Speaker 1: on sustainability mean for IBM. You've said it's not a 223 00:14:09,080 --> 00:14:10,920 Speaker 1: new focus, but is it fair to call it a 224 00:14:11,040 --> 00:14:13,920 Speaker 1: renewed focus. I would I would say that's fair, Malcolm, 225 00:14:13,960 --> 00:14:16,920 Speaker 1: and I would say that renewed focus in a new 226 00:14:17,320 --> 00:14:20,320 Speaker 1: era of capability. And so one place we're spending a 227 00:14:20,360 --> 00:14:23,080 Speaker 1: lot of time and effort, that's along with our partners 228 00:14:23,120 --> 00:14:26,160 Speaker 1: of the SAP and Microsoft and others, where we're saying, 229 00:14:26,240 --> 00:14:29,560 Speaker 1: let's invest in the World Business Council for Sustainable Development, 230 00:14:30,560 --> 00:14:34,440 Speaker 1: as they pulled together many of our partners, and those 231 00:14:34,480 --> 00:14:38,360 Speaker 1: are other other clients such is the Dolls, the Nestle 232 00:14:38,520 --> 00:14:41,240 Speaker 1: Shells of the of the world who are also raising 233 00:14:41,320 --> 00:14:43,440 Speaker 1: their hand in this renewed as you said, you know, 234 00:14:43,560 --> 00:14:48,600 Speaker 1: sense of sustainability. And what's really key now is, Okay, 235 00:14:48,640 --> 00:14:52,160 Speaker 1: if we're going to pay attention to carbon emissions and 236 00:14:52,200 --> 00:14:54,080 Speaker 1: carbon foot how do we document that, how do we 237 00:14:54,200 --> 00:14:58,080 Speaker 1: do that with trust and transparency in that ecosystem of 238 00:14:58,640 --> 00:15:02,680 Speaker 1: value chain? It's not just that linear supply chain, but 239 00:15:03,120 --> 00:15:05,320 Speaker 1: how do we account for all of that data in 240 00:15:05,480 --> 00:15:10,080 Speaker 1: that value chain? And so companies like the Shells and 241 00:15:10,840 --> 00:15:14,160 Speaker 1: and Exxons, the Dows, the b s S of the 242 00:15:14,240 --> 00:15:16,480 Speaker 1: world are saying, how do I account for that with 243 00:15:16,640 --> 00:15:20,640 Speaker 1: trust and transparency? And we're investing that with new technologies 244 00:15:20,960 --> 00:15:23,360 Speaker 1: that are on the edge, such as AI or even 245 00:15:23,440 --> 00:15:28,160 Speaker 1: blockchain that says, listen, how can I share data with trust? 246 00:15:28,520 --> 00:15:30,440 Speaker 1: And this is where it comes in. If you can't 247 00:15:30,520 --> 00:15:33,920 Speaker 1: trust the data, how can you make sure that we're 248 00:15:33,920 --> 00:15:36,720 Speaker 1: accounting for carbon credits? How do you know those are 249 00:15:36,760 --> 00:15:39,280 Speaker 1: real credits? How do you know those credits are accountable 250 00:15:39,320 --> 00:15:43,600 Speaker 1: for IBM or for SAP. So I'm an airline, I 251 00:15:43,800 --> 00:15:50,520 Speaker 1: want to buy carbon credits to upset my footprint UM, 252 00:15:50,560 --> 00:15:54,040 Speaker 1: and the question arises, how can I be sure that 253 00:15:54,120 --> 00:15:58,040 Speaker 1: I am accurately accounting for my own consumption? And i'm 254 00:15:58,440 --> 00:16:03,080 Speaker 1: and the marketplace is correctly measuring the UM? What the 255 00:16:03,160 --> 00:16:05,720 Speaker 1: offsite it looks like? How what, how it's priced, how 256 00:16:05,920 --> 00:16:09,240 Speaker 1: whatever it is. What you're saying is someone has to 257 00:16:09,320 --> 00:16:13,080 Speaker 1: do that kind of has to produce that data, verify 258 00:16:13,200 --> 00:16:17,200 Speaker 1: that data, um exchange that data. And that's what that's 259 00:16:17,240 --> 00:16:19,160 Speaker 1: what you guys are thinking about. Is that a fair 260 00:16:19,320 --> 00:16:23,800 Speaker 1: at summary? That's that's exactly That's exactly it. I think 261 00:16:23,880 --> 00:16:26,320 Speaker 1: that's a very important point. A lot of what what 262 00:16:27,120 --> 00:16:29,800 Speaker 1: I hear out in the marketplaces, it's about goals, right, 263 00:16:30,320 --> 00:16:33,560 Speaker 1: sustainability goals in the future. I think there's it needs 264 00:16:33,600 --> 00:16:35,920 Speaker 1: to be a kind of a shift in mentality that 265 00:16:36,520 --> 00:16:38,840 Speaker 1: we can do this now. We are doing this now, 266 00:16:39,400 --> 00:16:42,600 Speaker 1: we have applications that are you know, tracking this data. 267 00:16:43,160 --> 00:16:45,320 Speaker 1: You mentioned the airline industry. If you think about the 268 00:16:45,360 --> 00:16:48,280 Speaker 1: airline industry and the supplier side of that, or the 269 00:16:48,320 --> 00:16:52,160 Speaker 1: procurement side of that, companies need to start putting together 270 00:16:52,280 --> 00:16:56,240 Speaker 1: procurement goals related to stain sustainability and have applications and 271 00:16:56,360 --> 00:17:00,280 Speaker 1: systems that track progress against those procurement goals. They were 272 00:17:00,320 --> 00:17:03,080 Speaker 1: able to mod or measure that progress. So that's that's 273 00:17:03,080 --> 00:17:06,560 Speaker 1: happening today, and that will get much stronger, as Jason mentioned, 274 00:17:06,640 --> 00:17:09,520 Speaker 1: when when you bring in smart technologies like AI and 275 00:17:09,600 --> 00:17:13,200 Speaker 1: other technologies that will make that even more progressive. So 276 00:17:13,320 --> 00:17:15,600 Speaker 1: it's it is happening today. So I would say goals 277 00:17:15,640 --> 00:17:18,200 Speaker 1: are important, but we can actually start doing something today, 278 00:17:18,240 --> 00:17:20,400 Speaker 1: which I think is even more important. Can you give 279 00:17:20,480 --> 00:17:24,440 Speaker 1: me an example, concrete example. I'm interested instead of the 280 00:17:24,520 --> 00:17:26,800 Speaker 1: nuts and bolts, so this is actually kind of fascinating question. 281 00:17:27,240 --> 00:17:30,359 Speaker 1: Can you pick a kind of particularly either hard or 282 00:17:30,480 --> 00:17:34,040 Speaker 1: interesting case study and tell me about what are some 283 00:17:34,160 --> 00:17:37,920 Speaker 1: of the challenges from your end in providing this kind 284 00:17:38,000 --> 00:17:44,120 Speaker 1: of data, coming up with it, verifying it, providing it well, 285 00:17:44,280 --> 00:17:46,199 Speaker 1: I think from ourselves. Give one example, if you think 286 00:17:46,240 --> 00:17:51,040 Speaker 1: about a utility company and their legacy way of you know, 287 00:17:51,280 --> 00:17:55,040 Speaker 1: managing their suppliers versus where they need to be a 288 00:17:55,240 --> 00:17:59,240 Speaker 1: very very much a siloed view from from providing information 289 00:17:59,440 --> 00:18:02,720 Speaker 1: to it from suppliers, a closed system that does not 290 00:18:02,880 --> 00:18:06,360 Speaker 1: allow much transparency or even accuracy, and what they're able 291 00:18:06,440 --> 00:18:11,960 Speaker 1: to actually provide to measure a goal. There's nothing in 292 00:18:12,040 --> 00:18:14,359 Speaker 1: place that has done that before, right, so now we're 293 00:18:14,400 --> 00:18:17,040 Speaker 1: putting out applications that actually you know, take a look 294 00:18:17,080 --> 00:18:19,960 Speaker 1: at those suppliers, understand where things are coming from, have 295 00:18:20,119 --> 00:18:23,399 Speaker 1: they been ethically manufactured, you know, and be able to 296 00:18:23,440 --> 00:18:25,960 Speaker 1: again to trace that through the value chain that that 297 00:18:26,119 --> 00:18:28,600 Speaker 1: Jason and I have been talking about, and be able 298 00:18:28,640 --> 00:18:30,880 Speaker 1: to understand every step of the way and be able 299 00:18:30,920 --> 00:18:34,440 Speaker 1: to track that data and track that process throughout that 300 00:18:34,920 --> 00:18:38,240 Speaker 1: entire value chain. And I think that's something very concrete 301 00:18:38,320 --> 00:18:41,880 Speaker 1: especially and enables the purchasing teams um and the supplier 302 00:18:41,960 --> 00:18:44,920 Speaker 1: is quite honestly to improve on efficiency and visibility around 303 00:18:45,000 --> 00:18:48,960 Speaker 1: the procurement supply chain operations and serves the foundation for 304 00:18:49,119 --> 00:18:52,080 Speaker 1: those procurement goals. So kind of it's a new way 305 00:18:52,200 --> 00:18:56,320 Speaker 1: of driving transparency for these utility companies that have tons 306 00:18:56,359 --> 00:18:59,600 Speaker 1: of suppliers for their their manufacturing plans, for their their 307 00:18:59,720 --> 00:19:03,840 Speaker 1: energy plants, etcetera, and be able to report publicly that 308 00:19:03,960 --> 00:19:08,480 Speaker 1: that those are sustainable practices, that they're leveraging to improve 309 00:19:08,560 --> 00:19:12,680 Speaker 1: the overall operations, overall supply chain capabilities, etcetera. Against that, 310 00:19:13,400 --> 00:19:18,159 Speaker 1: that sounds like a really complex problem. Somebody's got a 311 00:19:18,160 --> 00:19:21,640 Speaker 1: power plant which might be fifty years old. I'm making 312 00:19:21,680 --> 00:19:24,080 Speaker 1: that up, but conceived of and built in an era 313 00:19:24,240 --> 00:19:28,600 Speaker 1: when we weren't thinking about computers on every in everyone's pocket. 314 00:19:29,040 --> 00:19:34,439 Speaker 1: You've got hundreds of thousands of customers you've got, I mean, 315 00:19:34,800 --> 00:19:37,119 Speaker 1: I don't even know what kind of on the other 316 00:19:37,280 --> 00:19:39,359 Speaker 1: end of it, the number of suppliers they're going to 317 00:19:39,440 --> 00:19:42,679 Speaker 1: have in every corner of the world. Someone who's been 318 00:19:42,720 --> 00:19:45,000 Speaker 1: an entire life trying to figure it out that problems 319 00:19:45,520 --> 00:19:51,960 Speaker 1: some have, Right, That's that's exactly it. That's the power 320 00:19:52,080 --> 00:19:56,040 Speaker 1: of what I think a technology company, application technology company, 321 00:19:56,480 --> 00:19:59,320 Speaker 1: an innovation company like SAP and IBM bring to the 322 00:19:59,400 --> 00:20:03,639 Speaker 1: table the expertise around an industry like utilities that an 323 00:20:03,680 --> 00:20:07,159 Speaker 1: IBM brings the table um. You know, it's something that 324 00:20:07,320 --> 00:20:11,120 Speaker 1: we are trying to reinvent business models based on new 325 00:20:11,200 --> 00:20:14,640 Speaker 1: technology and take those fifty year old plants, those fifty 326 00:20:14,720 --> 00:20:17,600 Speaker 1: year old systems and modernize them. And I think that 327 00:20:17,680 --> 00:20:21,359 Speaker 1: all starts with leveraging things that we didn't have and 328 00:20:21,520 --> 00:20:24,280 Speaker 1: and applying technology to that to have much more of 329 00:20:24,359 --> 00:20:29,760 Speaker 1: a transparent and and overall view of the data of 330 00:20:29,880 --> 00:20:32,600 Speaker 1: the systems, of how that thing is built of those parts. 331 00:20:33,160 --> 00:20:35,399 Speaker 1: And again that's what what companies like I V M, 332 00:20:35,520 --> 00:20:37,480 Speaker 1: S A P. And others are trying to do in 333 00:20:37,560 --> 00:20:39,800 Speaker 1: these in these very old industries that need to have 334 00:20:39,880 --> 00:20:43,760 Speaker 1: a reinvention. Yeah, and Malcolm, I was gonna hit on 335 00:20:43,880 --> 00:20:47,680 Speaker 1: your your example there, because you you ask for something concrete. 336 00:20:48,040 --> 00:20:50,520 Speaker 1: You know, there's cities upon cities. You can point at 337 00:20:51,000 --> 00:20:53,200 Speaker 1: US or international. You can look at the Chattanooga and 338 00:20:53,280 --> 00:20:56,480 Speaker 1: in the US dirtiest cities nineteen nine and then all 339 00:20:56,520 --> 00:20:58,159 Speaker 1: the way. You know, twenty years later it was a 340 00:20:58,200 --> 00:21:00,720 Speaker 1: cleanest city. Okay, so it can happen, but how does 341 00:21:00,760 --> 00:21:04,840 Speaker 1: it happen at scale? And we think concrete we give 342 00:21:04,920 --> 00:21:07,520 Speaker 1: one one one example. So we're starting to see the 343 00:21:07,560 --> 00:21:10,720 Speaker 1: other side of a pandemic. And here we had a 344 00:21:10,880 --> 00:21:15,359 Speaker 1: challenge across industries of just coming up with something we 345 00:21:15,440 --> 00:21:19,720 Speaker 1: can address it with a vaccine and trying to figure 346 00:21:19,760 --> 00:21:23,200 Speaker 1: out how could we how could we do it quicker, better, 347 00:21:23,320 --> 00:21:26,560 Speaker 1: faster in any way that we've ever done before. And 348 00:21:26,680 --> 00:21:29,400 Speaker 1: it took a lot of time and effort to sit 349 00:21:29,480 --> 00:21:31,960 Speaker 1: down and say with with the likes of fives are 350 00:21:31,960 --> 00:21:34,280 Speaker 1: along with SAP on the back end, by the way 351 00:21:34,600 --> 00:21:36,080 Speaker 1: working with IVY, and how do you how do you 352 00:21:36,240 --> 00:21:38,119 Speaker 1: change the way this is going to be developed and 353 00:21:38,200 --> 00:21:41,560 Speaker 1: pushed through the supply chain. We had the challenge of 354 00:21:42,000 --> 00:21:45,440 Speaker 1: then going through multiple levels of them. We'll stick with 355 00:21:45,480 --> 00:21:50,359 Speaker 1: the US federal, state, local governments to get dispersed, and 356 00:21:50,440 --> 00:21:53,000 Speaker 1: then we had the challenges saying who's tested and who's 357 00:21:53,080 --> 00:21:56,640 Speaker 1: received a shot? And how do you prove that you've 358 00:21:56,720 --> 00:22:00,440 Speaker 1: received a shot? In that example, I crossed industries, I've 359 00:22:00,640 --> 00:22:05,680 Speaker 1: crossed multiple lines of private public situations, and that was 360 00:22:05,800 --> 00:22:10,879 Speaker 1: to keep people alive. Now we're talking carbon credits. Does 361 00:22:10,920 --> 00:22:13,840 Speaker 1: anyone does anyone have a sense of urgency that they 362 00:22:15,000 --> 00:22:18,239 Speaker 1: would with a vaccine? Some do, some don't. But if 363 00:22:18,280 --> 00:22:22,520 Speaker 1: it's that challenging with a vaccine and a global pandemic, 364 00:22:23,080 --> 00:22:27,280 Speaker 1: how do we do it with something that's called sustainability? Well, 365 00:22:27,720 --> 00:22:31,359 Speaker 1: It starts with data. What are we seeing with the data? 366 00:22:31,480 --> 00:22:34,040 Speaker 1: Data tells us this, what do we address? We address 367 00:22:34,119 --> 00:22:37,119 Speaker 1: it with the carbon credits and carbon emissions and then 368 00:22:37,280 --> 00:22:42,680 Speaker 1: who's who's accountable for what based on trusted data. Yeah, 369 00:22:43,119 --> 00:22:48,639 Speaker 1: those two examples you're talking about one COVID vaccine, two utilities. 370 00:22:49,320 --> 00:22:54,080 Speaker 1: Utilities is harder problem from your end, Like you know, 371 00:22:54,160 --> 00:22:58,440 Speaker 1: it's not a technology forward industry. You've got state regulators 372 00:22:59,080 --> 00:23:02,719 Speaker 1: that's the dealing with. You've got fifty some different rate 373 00:23:02,800 --> 00:23:04,280 Speaker 1: depending on which state you and you have a whole 374 00:23:04,320 --> 00:23:07,920 Speaker 1: different maze you've got to work through. I mean with 375 00:23:08,200 --> 00:23:11,800 Speaker 1: the vaccine, you're talking about three multinational you know, twenty 376 00:23:11,880 --> 00:23:16,080 Speaker 1: one century companies using a brand new, the best platform 377 00:23:16,200 --> 00:23:21,240 Speaker 1: known demand versus seventy year old or whatever you know, 378 00:23:21,960 --> 00:23:25,359 Speaker 1: in fifty different states, chasing an elusive gold that they 379 00:23:25,440 --> 00:23:28,360 Speaker 1: may not even be on board on Bingo. Not only 380 00:23:28,560 --> 00:23:31,840 Speaker 1: is it behind the times in many cases and in 381 00:23:31,960 --> 00:23:36,040 Speaker 1: need of diversification as well as modernization, is it now 382 00:23:36,119 --> 00:23:39,080 Speaker 1: you have? You also have competing platforms saying how do 383 00:23:39,160 --> 00:23:41,560 Speaker 1: I leap frogs some things that are old or new? 384 00:23:41,680 --> 00:23:44,760 Speaker 1: And we're we're ready to celebrate a fifty year relationship 385 00:23:44,840 --> 00:23:49,680 Speaker 1: with SAP. Why it's because SAP continues to evolve, and 386 00:23:49,840 --> 00:23:53,280 Speaker 1: that's what in your example, Malcolm, you know, how else 387 00:23:53,560 --> 00:23:56,480 Speaker 1: to evolve and get to where you're going then with 388 00:23:56,720 --> 00:23:59,720 Speaker 1: with trusted partners, that and that this part now, I 389 00:23:59,800 --> 00:24:01,480 Speaker 1: do like it's a commercial, but I know that it 390 00:24:01,560 --> 00:24:04,200 Speaker 1: takes more than just the SAPs and ibm s. It 391 00:24:04,280 --> 00:24:06,560 Speaker 1: takes the others in the ecosystem to make that leap 392 00:24:06,640 --> 00:24:08,520 Speaker 1: frog from where they are to where they have to go. 393 00:24:09,440 --> 00:24:11,920 Speaker 1: And I think it's not just about the companies we're 394 00:24:11,960 --> 00:24:15,560 Speaker 1: talking about here, It's it's the technologies that are allowing 395 00:24:15,640 --> 00:24:18,239 Speaker 1: this and enabling this because you know, if you if 396 00:24:18,280 --> 00:24:21,639 Speaker 1: you really, I mean the pace of innovation that's happening 397 00:24:21,640 --> 00:24:24,320 Speaker 1: out of there with things like AI and machine learning 398 00:24:24,359 --> 00:24:26,960 Speaker 1: and all of that are enabling a lot of things 399 00:24:27,080 --> 00:24:29,359 Speaker 1: that that we couldn't do five years ago. So I 400 00:24:29,400 --> 00:24:31,280 Speaker 1: think I think that the technology piece of this, and 401 00:24:31,440 --> 00:24:34,399 Speaker 1: it's a much longer discussion, but you can't understate that 402 00:24:34,640 --> 00:24:38,240 Speaker 1: it's a huge enabler that wasn't there, you know, five 403 00:24:38,320 --> 00:24:41,879 Speaker 1: years ago, as I said, and just it's gonna continue 404 00:24:41,960 --> 00:24:46,320 Speaker 1: to increase the innovation pace here and unlock opportunities in 405 00:24:46,400 --> 00:24:49,320 Speaker 1: the very complex industries, like like you mentioned around utilities. 406 00:24:49,359 --> 00:24:52,520 Speaker 1: I mean, you're actually right, it's a tough one. Yeah. 407 00:24:52,520 --> 00:24:55,679 Speaker 1: I wanted to talk a little bit about UM, blockchain 408 00:24:56,119 --> 00:24:59,040 Speaker 1: and AI, and it's rolled in all of this UM. 409 00:25:00,080 --> 00:25:04,320 Speaker 1: What do we what? What do those two particular technologies 410 00:25:04,440 --> 00:25:08,239 Speaker 1: bring to the table here? Blockchain the bottom line, it's 411 00:25:08,280 --> 00:25:14,240 Speaker 1: a trusted platform to share data amongst many players in 412 00:25:14,359 --> 00:25:17,720 Speaker 1: real time. That's it, share data in a trusted way. 413 00:25:18,520 --> 00:25:21,160 Speaker 1: And if you can do that in this this thought 414 00:25:21,240 --> 00:25:24,280 Speaker 1: of whose carbon credit is it and where does it 415 00:25:24,359 --> 00:25:27,720 Speaker 1: sit on the ledger of carbon credits? Now you can 416 00:25:27,800 --> 00:25:31,680 Speaker 1: do that. So that's it AI the insight. So we 417 00:25:31,760 --> 00:25:34,639 Speaker 1: started thinking about augmented intelligence or as some like to 418 00:25:34,680 --> 00:25:38,240 Speaker 1: call it, artificial intelligence. Now you can use that to 419 00:25:38,520 --> 00:25:41,200 Speaker 1: process and look at all of this data that we 420 00:25:41,320 --> 00:25:43,879 Speaker 1: couldn't before. It took a lot of time and effort, 421 00:25:43,960 --> 00:25:46,160 Speaker 1: so it was just too high or hurdle to jump over. 422 00:25:46,520 --> 00:25:49,400 Speaker 1: Not only that, but now we can sense and predict 423 00:25:50,119 --> 00:25:53,200 Speaker 1: ahead of time before something happens. So if you put 424 00:25:53,240 --> 00:25:56,399 Speaker 1: those two together, trusted data which is the fuel for 425 00:25:56,560 --> 00:26:01,200 Speaker 1: AI and doing it at scale, that's when you say, okay, 426 00:26:01,480 --> 00:26:04,359 Speaker 1: we are in a new place to play. And you 427 00:26:04,480 --> 00:26:06,440 Speaker 1: have someplace you can pull that data from. If you 428 00:26:06,480 --> 00:26:10,000 Speaker 1: could just have someone that was touching those those companies 429 00:26:10,400 --> 00:26:13,440 Speaker 1: from the source all the way to consumption. So it 430 00:26:13,600 --> 00:26:16,920 Speaker 1: sounds to be though that what you're saying is this 431 00:26:17,160 --> 00:26:20,119 Speaker 1: kind of thing you're envisioning now would have been all 432 00:26:20,200 --> 00:26:24,960 Speaker 1: but impossible, Uh five or six years ago. I mean 433 00:26:25,960 --> 00:26:29,480 Speaker 1: you're you're nodding, Mark, Yeah, No, that's what I mentioned before. 434 00:26:29,520 --> 00:26:32,159 Speaker 1: I mean again, going back to the utilities industry, we 435 00:26:32,359 --> 00:26:34,280 Speaker 1: couldn't do this five or six years ago. And I 436 00:26:34,359 --> 00:26:37,480 Speaker 1: think that's why I think technology is enabler and things 437 00:26:37,560 --> 00:26:41,160 Speaker 1: like blockchain, like AI, like machine learning, this is all 438 00:26:41,320 --> 00:26:44,000 Speaker 1: changing the landscape of they are of the possibility. If 439 00:26:44,040 --> 00:26:48,359 Speaker 1: we don't transform what we're doing by leveraging these technologies 440 00:26:48,400 --> 00:26:51,680 Speaker 1: as enablers, we're not gonna make it. I mean so, 441 00:26:51,920 --> 00:26:53,760 Speaker 1: so I think that's the key thing here is that 442 00:26:53,880 --> 00:26:56,960 Speaker 1: And that's where I come from a technology background, where 443 00:26:57,560 --> 00:27:00,760 Speaker 1: these things are real, they're happening now, they weren't here 444 00:27:00,880 --> 00:27:03,600 Speaker 1: five years ago, and they are making a big difference. 445 00:27:03,640 --> 00:27:06,879 Speaker 1: So if we really want to accelerate this, we need 446 00:27:06,920 --> 00:27:11,359 Speaker 1: to go past the the vision of goals setting and 447 00:27:11,520 --> 00:27:13,639 Speaker 1: really start to implement and see change in some of 448 00:27:13,720 --> 00:27:16,479 Speaker 1: these things because it is possible today, and you're absolutely right, 449 00:27:16,520 --> 00:27:18,680 Speaker 1: it wasn't around five years ago. It wasn't possible five 450 00:27:18,760 --> 00:27:21,480 Speaker 1: years ago. And I just think in another five years, 451 00:27:21,560 --> 00:27:23,719 Speaker 1: what is this really going to advance into? So I mean, 452 00:27:23,720 --> 00:27:26,800 Speaker 1: I think there's a huge opportunity here. Yeah, So looking 453 00:27:26,880 --> 00:27:29,800 Speaker 1: ahead five years, I give you a magic wand you 454 00:27:29,880 --> 00:27:33,560 Speaker 1: can change one thing to make your life easier. What 455 00:27:33,680 --> 00:27:36,160 Speaker 1: would it be. What's the biggest impediment that you could, 456 00:27:36,960 --> 00:27:41,080 Speaker 1: in a perfect world, would remove. I don't. I mean 457 00:27:41,280 --> 00:27:43,760 Speaker 1: I think from my respective and Jason love to hear 458 00:27:43,840 --> 00:27:46,119 Speaker 1: your side, I mean it's not the technology. I mean, 459 00:27:46,119 --> 00:27:48,119 Speaker 1: I think we know where the technology is going to 460 00:27:48,240 --> 00:27:51,119 Speaker 1: lead us. It's people. How can people open up and 461 00:27:51,160 --> 00:27:54,119 Speaker 1: be more open mind to think differently because even in 462 00:27:54,240 --> 00:27:55,720 Speaker 1: some of these industries, and again we talked a lot 463 00:27:55,760 --> 00:27:59,000 Speaker 1: about utilities, they're not thinking differently. They're just trying to 464 00:27:59,119 --> 00:28:01,080 Speaker 1: operate their busines. This isn't the way they have been 465 00:28:01,200 --> 00:28:04,040 Speaker 1: for for years. We need it's culture and it's people 466 00:28:04,119 --> 00:28:05,760 Speaker 1: to change. And I guess that brings us back to 467 00:28:05,800 --> 00:28:08,159 Speaker 1: the game of our conversation. This really is about people 468 00:28:08,880 --> 00:28:11,879 Speaker 1: and making sure that people changing the way people think 469 00:28:11,920 --> 00:28:16,359 Speaker 1: about these things and seeing the opportunity. And I would 470 00:28:16,359 --> 00:28:21,240 Speaker 1: agree it's the trust and culture change. It would be 471 00:28:21,480 --> 00:28:24,760 Speaker 1: like you trying to head out from where wherever you 472 00:28:24,800 --> 00:28:27,720 Speaker 1: are today, Malcolm and saying I'm going to get a 473 00:28:27,840 --> 00:28:30,600 Speaker 1: ride share, but you call a dispatcher. It's like, are 474 00:28:30,640 --> 00:28:33,480 Speaker 1: you kidding me? You know you you don't use it, 475 00:28:33,560 --> 00:28:36,600 Speaker 1: You just click on your phone. So it's changing the 476 00:28:36,760 --> 00:28:41,720 Speaker 1: process and and and doing it with trust. Yeah. On 477 00:28:41,840 --> 00:28:46,280 Speaker 1: the flip side, what's been unexpectedly the easiest part of 478 00:28:46,360 --> 00:28:50,160 Speaker 1: this campaign, if you want to call it that is 479 00:28:50,600 --> 00:28:56,920 Speaker 1: anything easy? Wow, that was a loaded question. The easiest. 480 00:28:57,360 --> 00:29:02,080 Speaker 1: The easiest part is acknowledging that there's a challenge I think, 481 00:29:02,480 --> 00:29:06,160 Speaker 1: um in bringing together the different players that have to play. 482 00:29:07,400 --> 00:29:09,040 Speaker 1: I don't know for my and if it's if the 483 00:29:09,080 --> 00:29:11,320 Speaker 1: easiest part, but the most exciting part is to see 484 00:29:11,400 --> 00:29:14,360 Speaker 1: the passion behind this. I mean, you know, at least 485 00:29:14,360 --> 00:29:16,880 Speaker 1: an organization I know and IBM because it's very very 486 00:29:16,920 --> 00:29:19,560 Speaker 1: similar in the way we think about this. There's so 487 00:29:19,680 --> 00:29:23,240 Speaker 1: much passion behind this, and people that understand what these 488 00:29:23,400 --> 00:29:27,360 Speaker 1: technologies can do are are really pushing the envelope. So 489 00:29:27,480 --> 00:29:30,560 Speaker 1: that I think that's you you don't have to convince 490 00:29:30,600 --> 00:29:32,520 Speaker 1: anything that anybody's the right thing to do. They see 491 00:29:32,560 --> 00:29:34,480 Speaker 1: that they are of the possibility, and I think that's 492 00:29:34,520 --> 00:29:38,880 Speaker 1: that's a very strong opportunity. Well, thank you so much. 493 00:29:39,000 --> 00:29:41,440 Speaker 1: This has been like so many of these conversations I've 494 00:29:41,480 --> 00:29:44,840 Speaker 1: had with IBM and IBM and friends, which is basically 495 00:29:44,880 --> 00:29:48,440 Speaker 1: what this has been. This has been fascinating and um 496 00:29:49,040 --> 00:29:51,200 Speaker 1: and I really thank you for your time. All right, Well, 497 00:29:51,240 --> 00:29:54,560 Speaker 1: thanks a lout Malcolm and and always Mark, thank you both. 498 00:29:54,600 --> 00:29:56,760 Speaker 1: It was a great conversation. I really appreciate it. Thank you. 499 00:29:59,160 --> 00:30:01,480 Speaker 1: Thank you again, did Auson, Kelly and Mark Rolfe for 500 00:30:01,600 --> 00:30:04,840 Speaker 1: joining me. It feels promising to hear about these efforts 501 00:30:04,920 --> 00:30:08,560 Speaker 1: from IBM and s A P and how these partnerships 502 00:30:08,960 --> 00:30:15,720 Speaker 1: create a larger industry shift towards sustainability. Smart Talks with 503 00:30:15,800 --> 00:30:19,080 Speaker 1: IBM is produced by Emily ross Dak with Carly Migliore 504 00:30:19,440 --> 00:30:24,280 Speaker 1: and Katherine Gurrodo, Edited by Karen Shakerge, mixed and mastered 505 00:30:24,320 --> 00:30:29,680 Speaker 1: by Jason Gambrel. Music by Granmascope. Special thanks to Molly Sosha, 506 00:30:30,000 --> 00:30:33,000 Speaker 1: Andy Kelly Meal, La Belle, Jacob Weisberg, had a fane, 507 00:30:33,240 --> 00:30:36,680 Speaker 1: Eric Sandler Maggie Taylor and the teams at eight Bar 508 00:30:37,160 --> 00:30:40,560 Speaker 1: and IBM. Smart Talks with IBM is a production of 509 00:30:40,640 --> 00:30:45,000 Speaker 1: Pushkin Industries and I Heart Radio. This is a paid 510 00:30:45,120 --> 00:30:51,320 Speaker 1: advertisement from IBM. You can find more episodes at IBM 511 00:30:51,400 --> 00:30:57,680 Speaker 1: dot com slash smart Talks. You'll find more Pushkin podcasts 512 00:30:57,920 --> 00:31:01,080 Speaker 1: on the iHeart Radio app, Apple pod guests, or wherever 513 00:31:01,200 --> 00:31:05,200 Speaker 1: you like to listen. I'm Malcolm Bladwell, See you next time. 514 00:31:18,120 --> 00:31:18,160 Speaker 1: M