WEBVTT 00:00:06.055 --> 00:00:11.298 Do you know where what you buy or wear or eat comes from? 00:00:12.557 --> 00:00:15.543 Do you know whose hands what you've bought has passed through? 00:00:15.709 --> 00:00:17.355 Do you think about it? 00:00:17.785 --> 00:00:19.152 Do you care? 00:00:19.652 --> 00:00:21.909 Now, I'm a consumer, just like everyone else. 00:00:21.909 --> 00:00:25.074 I buy things; I wear things; I eat things. 00:00:25.074 --> 00:00:28.286 But these are questions that have plagued me for a really long time. 00:00:28.568 --> 00:00:29.904 Why? 00:00:30.100 --> 00:00:34.649 Well, I work in very large and very complex organizations, 00:00:34.649 --> 00:00:39.860 the ones that are generally held to task over everything they do or don't do. 00:00:40.087 --> 00:00:41.452 And it's my role 00:00:41.492 --> 00:00:44.992 to work across these organizations and their supply chains 00:00:44.992 --> 00:00:49.088 to reduce their impact on the environment and the communities in which they operate. 00:00:49.305 --> 00:00:53.220 So basically, I am a professional sustainability person. 00:00:53.926 --> 00:00:57.343 The good news is that so many of us want to buy sustainable goods. 00:00:57.666 --> 00:01:01.634 We want to know that the people who made our clothes were paid fairly 00:01:01.634 --> 00:01:05.547 and that the environment wasn't harmed in producing the food we ate. 00:01:06.582 --> 00:01:11.748 In fact, 66% of us even say we're willing to pay more for sustainable goods. 00:01:11.748 --> 00:01:14.330 And, of course, you and I want to know 00:01:14.330 --> 00:01:17.068 that what we've bought was sourced sustainably. 00:01:17.795 --> 00:01:19.392 But how do we know this? 00:01:19.392 --> 00:01:25.469 Well, we need to ask a whole bunch of very important and valid questions. 00:01:25.469 --> 00:01:28.785 There's just one teeny-tiny problem. 00:01:29.371 --> 00:01:34.115 The supply chains of everything we buy are really, really complex. 00:01:34.568 --> 00:01:37.961 I know this because it's my job to collect the data 00:01:37.961 --> 00:01:41.771 and look at it from all the way through the process. 00:01:41.771 --> 00:01:43.781 It's incredibly important work. 00:01:43.781 --> 00:01:46.306 But I've got to tell you, it's not easy. 00:01:46.782 --> 00:01:48.651 Let me give you an example. 00:01:48.651 --> 00:01:51.204 Okay, so here, this is a cake. 00:01:51.204 --> 00:01:54.978 So for you, this might look like celebratory goodness. 00:01:55.485 --> 00:02:00.950 For me, this is a source of potentially unsustainable palm oil. 00:02:01.646 --> 00:02:03.749 Now, palm oil, as I'm sure many of you know, 00:02:03.749 --> 00:02:06.936 has been linked to pretty horrible farming practices 00:02:06.936 --> 00:02:09.572 and the destruction of the orangutan habitat - 00:02:09.572 --> 00:02:11.498 were not produced sustainably. 00:02:11.931 --> 00:02:14.444 So this cake is a minefield 00:02:14.444 --> 00:02:17.978 when it comes to thinking about whether or not it's sustainable. 00:02:17.978 --> 00:02:20.712 So let's start with the cake. 00:02:21.317 --> 00:02:24.321 Is there oil in it? Is it palm oil? 00:02:24.321 --> 00:02:28.571 If it's 8% by weight, how much oil got in the cake? 00:02:28.982 --> 00:02:32.119 The cream layers - has that got palm oil in it as well 00:02:32.119 --> 00:02:35.455 or did that fall below the reportable threshold? 00:02:35.455 --> 00:02:36.950 The icing. 00:02:36.950 --> 00:02:40.477 So our manufacturer, they get that from another manufacturer. 00:02:40.477 --> 00:02:42.685 Oh, and they just changed their manufacturer. 00:02:42.685 --> 00:02:47.001 So did the new manufacturer get the briefing from us on the palm oil? 00:02:47.736 --> 00:02:51.476 For the palm oil that we know about, is it sustainable? 00:02:51.848 --> 00:02:53.623 Is it certified? And to what method? 00:02:53.623 --> 00:02:55.898 And do we have the certificates on file? 00:02:56.759 --> 00:02:58.986 Are there chocolate sprinkles on the cake? 00:02:58.986 --> 00:03:00.173 Are you kidding me? 00:03:00.631 --> 00:03:04.910 Did the supplier include the data from the sprinkles in what they gave us? 00:03:05.644 --> 00:03:07.869 I'm going to have to go and ring them. 00:03:07.869 --> 00:03:09.575 And so it goes on. 00:03:09.930 --> 00:03:14.176 In this example alone, just in whether or not the palm oil is sustainable, 00:03:14.176 --> 00:03:16.132 there's about 30 data points. 00:03:16.132 --> 00:03:19.258 Oh, you want to know, like, the conditions of the factory 00:03:19.258 --> 00:03:22.870 or whether it's vegan, GMO-free, organic, free range? 00:03:22.870 --> 00:03:25.803 Well, you're going to need a whole lot more data points. 00:03:26.352 --> 00:03:29.674 All this from one really valid question. 00:03:30.877 --> 00:03:34.114 So why is it that this is a question we should be asking? 00:03:34.521 --> 00:03:39.562 Well, we have a reported 40.3 million people 00:03:39.562 --> 00:03:41.547 in some form of modern slavery 00:03:41.547 --> 00:03:44.062 in the supply chains of the products we buy. 00:03:44.758 --> 00:03:47.644 It's estimated that 71% of them are women. 00:03:48.043 --> 00:03:51.399 And we are in the midst of the sixth great extinction - 00:03:51.399 --> 00:03:54.198 the Anthropocene, or age of humans - 00:03:54.198 --> 00:03:56.457 because it's us that's having the impact. 00:03:57.563 --> 00:03:59.856 This is not okay. 00:04:00.028 --> 00:04:03.262 The data that I collect, it's a person, it's a habitat. 00:04:03.262 --> 00:04:06.835 I've got to tell you, sometimes you can't see that through the spreadsheets. 00:04:06.835 --> 00:04:08.901 But I, really, I can't lose sight of this, 00:04:08.901 --> 00:04:10.947 because it's my analysis of this data 00:04:10.947 --> 00:04:14.122 that enables a company to make a more sustainable decision. 00:04:15.096 --> 00:04:18.912 But sometimes, companies don't have the visibility that they need, 00:04:19.219 --> 00:04:22.943 so whether it's through limitations of information or ignorance 00:04:22.943 --> 00:04:25.362 or sometimes deliberate avoidance. 00:04:25.501 --> 00:04:29.010 And this lack of transparency is a huge problem for everyone. 00:04:29.710 --> 00:04:33.525 In fact, in a study done last year, which was a global study, 00:04:33.525 --> 00:04:38.649 54% of the manufacturers surveyed said they had no visibility 00:04:38.649 --> 00:04:42.381 into their supply chain and sustainability related risks. 00:04:42.381 --> 00:04:45.129 So we've got a bit of a problem. 00:04:45.129 --> 00:04:46.618 A really big gap. 00:04:47.843 --> 00:04:49.911 But what if there was a better way? 00:04:50.431 --> 00:04:54.866 What if there was a way we could get faster and more accurate data 00:04:56.014 --> 00:04:58.793 to help us solve these supply chain issues. 00:04:59.266 --> 00:05:03.175 What if I could open up my cupboard and scan everything in there 00:05:03.175 --> 00:05:05.924 and get a full suite of information about what was there? 00:05:06.137 --> 00:05:09.595 From who made it, where it was from, the country of origin, 00:05:09.595 --> 00:05:12.833 the greenhouse gas emissions along the supply chain, 00:05:12.833 --> 00:05:14.672 the conditions of the factory. 00:05:15.038 --> 00:05:20.328 What if technology could help us solve and crack the sustainability code? 00:05:20.834 --> 00:05:24.778 Well, industry is actually beginning to deploy this type of technology. 00:05:24.908 --> 00:05:26.463 So it enables people like me 00:05:26.463 --> 00:05:29.642 to more readily act on the information I've received. 00:05:29.824 --> 00:05:33.435 So blockchain, combined with mobile and smart tags, 00:05:33.435 --> 00:05:37.346 has been used to trace tuna provided to restaurants in Japan. 00:05:37.781 --> 00:05:43.293 Blockchain has also been used to verify fair paid workers for 1,000 coconuts. 00:05:44.525 --> 00:05:48.473 What if we could actually train our supply chains to self-check? 00:05:48.711 --> 00:05:53.290 Or to identify whether there was a gap or an anomaly in the sustainability data? 00:05:54.035 --> 00:05:58.953 What if we could order continuously, rather than just at a point in time? 00:05:59.720 --> 00:06:02.978 What if we could combine machine learning 00:06:02.978 --> 00:06:05.829 as an application of artificial intelligence 00:06:05.829 --> 00:06:07.130 and blockchain 00:06:07.130 --> 00:06:09.121 to not just identify and trace 00:06:09.121 --> 00:06:12.639 but to validate and assure that the right thing, 00:06:12.639 --> 00:06:15.488 from raw material to finished product, 00:06:15.488 --> 00:06:19.008 was done correctly all the way through the process? 00:06:19.598 --> 00:06:21.936 I believe, and it's my firm belief, 00:06:21.936 --> 00:06:24.275 that it's going to be this type of data 00:06:24.275 --> 00:06:26.004 and accelerated process 00:06:26.004 --> 00:06:30.253 through blockchain, digital technology, and signatures, 00:06:30.253 --> 00:06:33.061 and artificial intelligence is going to be crucial 00:06:33.061 --> 00:06:35.452 in enabling us to collect the data 00:06:35.452 --> 00:06:38.114 to eradicate the issues I mentioned earlier. 00:06:38.323 --> 00:06:40.395 And we shouldn't be shying away from this; 00:06:40.395 --> 00:06:44.724 we should embrace it because sustainability affects us all. 00:06:44.724 --> 00:06:47.068 And so we all need to fight. 00:06:47.377 --> 00:06:49.957 It's your fight as consumers 00:06:49.957 --> 00:06:51.492 to ask where what you've bought 00:06:51.492 --> 00:06:52.568 has come from 00:06:52.568 --> 00:06:54.934 and challenge the answers that you're given. 00:06:54.934 --> 00:06:58.471 It's the corporate fight to work with like-minded suppliers 00:06:58.471 --> 00:07:01.679 who are galvanized towards making these changes. 00:07:01.679 --> 00:07:02.851 And it's my fight 00:07:02.851 --> 00:07:07.294 to continue to pore through those wretched spreadsheets today 00:07:07.294 --> 00:07:09.298 and analyzing and grinding the data 00:07:09.298 --> 00:07:12.500 with a firm eye on the technology of tomorrow. 00:07:13.514 --> 00:07:16.246 And this should give you a resounding sense of hope 00:07:17.062 --> 00:07:19.114 that there are solutions, 00:07:19.114 --> 00:07:21.466 that by challenging the status quo, 00:07:21.466 --> 00:07:23.139 thinking creatively, 00:07:23.139 --> 00:07:27.105 and changing our mindset about how things have always been done 00:07:27.105 --> 00:07:30.119 that we can adopt new and exciting ways 00:07:30.119 --> 00:07:31.914 to change the game 00:07:31.914 --> 00:07:36.515 on how we conduct ourselves as corporates and consumers 00:07:36.515 --> 00:07:39.313 across an increasingly smaller world. 00:07:39.313 --> 00:07:40.504 Thank you. 00:07:40.504 --> 00:07:43.521 [Applause]