1 00:00:06,055 --> 00:00:11,298 Do you know where what you buy or wear or eat comes from? 2 00:00:12,557 --> 00:00:15,543 Do you know whose hands what you've bought has passed through? 3 00:00:15,709 --> 00:00:17,355 Do you think about it? 4 00:00:17,785 --> 00:00:19,152 Do you care? 5 00:00:19,652 --> 00:00:21,909 Now, I'm a consumer, just like everyone else. 6 00:00:21,909 --> 00:00:25,074 I buy things; I wear things; I eat things. 7 00:00:25,074 --> 00:00:28,286 But these are questions that have plagued me for a really long time. 8 00:00:28,568 --> 00:00:29,904 Why? 9 00:00:30,100 --> 00:00:34,649 Well, I work in very large and very complex organizations, 10 00:00:34,649 --> 00:00:39,860 the ones that are generally held to task over everything they do or don't do. 11 00:00:40,087 --> 00:00:41,452 And it's my role 12 00:00:41,492 --> 00:00:44,992 to work across these organizations and their supply chains 13 00:00:44,992 --> 00:00:49,088 to reduce their impact on the environment and the communities in which they operate. 14 00:00:49,305 --> 00:00:53,220 So basically, I am a professional sustainability person. 15 00:00:53,926 --> 00:00:57,343 The good news is that so many of us want to buy sustainable goods. 16 00:00:57,666 --> 00:01:01,634 We want to know that the people who made our clothes were paid fairly 17 00:01:01,634 --> 00:01:05,547 and that the environment wasn't harmed in producing the food we ate. 18 00:01:06,582 --> 00:01:11,748 In fact, 66% of us even say we're willing to pay more for sustainable goods. 19 00:01:11,748 --> 00:01:14,330 And, of course, you and I want to know 20 00:01:14,330 --> 00:01:17,068 that what we've bought was sourced sustainably. 21 00:01:17,795 --> 00:01:19,392 But how do we know this? 22 00:01:19,392 --> 00:01:25,469 Well, we need to ask a whole bunch of very important and valid questions. 23 00:01:25,469 --> 00:01:28,785 There's just one teeny-tiny problem. 24 00:01:29,371 --> 00:01:34,115 The supply chains of everything we buy are really, really complex. 25 00:01:34,568 --> 00:01:37,961 I know this because it's my job to collect the data 26 00:01:37,961 --> 00:01:41,771 and look at it from all the way through the process. 27 00:01:41,771 --> 00:01:43,781 It's incredibly important work. 28 00:01:43,781 --> 00:01:46,306 But I've got to tell you, it's not easy. 29 00:01:46,782 --> 00:01:48,651 Let me give you an example. 30 00:01:48,651 --> 00:01:51,204 Okay, so here, this is a cake. 31 00:01:51,204 --> 00:01:54,978 So for you, this might look like celebratory goodness. 32 00:01:55,485 --> 00:02:00,950 For me, this is a source of potentially unsustainable palm oil. 33 00:02:01,646 --> 00:02:03,749 Now, palm oil, as I'm sure many of you know, 34 00:02:03,749 --> 00:02:06,936 has been linked to pretty horrible farming practices 35 00:02:06,936 --> 00:02:09,572 and the destruction of the orangutan habitat - 36 00:02:09,572 --> 00:02:11,498 were not produced sustainably. 37 00:02:11,931 --> 00:02:14,444 So this cake is a minefield 38 00:02:14,444 --> 00:02:17,978 when it comes to thinking about whether or not it's sustainable. 39 00:02:17,978 --> 00:02:20,712 So let's start with the cake. 40 00:02:21,317 --> 00:02:24,321 Is there oil in it? Is it palm oil? 41 00:02:24,321 --> 00:02:28,571 If it's 8% by weight, how much oil got in the cake? 42 00:02:28,982 --> 00:02:32,119 The cream layers - has that got palm oil in it as well 43 00:02:32,119 --> 00:02:35,455 or did that fall below the reportable threshold? 44 00:02:35,455 --> 00:02:36,950 The icing. 45 00:02:36,950 --> 00:02:40,477 So our manufacturer, they get that from another manufacturer. 46 00:02:40,477 --> 00:02:42,685 Oh, and they just changed their manufacturer. 47 00:02:42,685 --> 00:02:47,001 So did the new manufacturer get the briefing from us on the palm oil? 48 00:02:47,736 --> 00:02:51,476 For the palm oil that we know about, is it sustainable? 49 00:02:51,848 --> 00:02:53,623 Is it certified? And to what method? 50 00:02:53,623 --> 00:02:55,898 And do we have the certificates on file? 51 00:02:56,759 --> 00:02:58,986 Are there chocolate sprinkles on the cake? 52 00:02:58,986 --> 00:03:00,173 Are you kidding me? 53 00:03:00,631 --> 00:03:04,910 Did the supplier include the data from the sprinkles in what they gave us? 54 00:03:05,644 --> 00:03:07,869 I'm going to have to go and ring them. 55 00:03:07,869 --> 00:03:09,575 And so it goes on. 56 00:03:09,930 --> 00:03:14,176 In this example alone, just in whether or not the palm oil is sustainable, 57 00:03:14,176 --> 00:03:16,132 there's about 30 data points. 58 00:03:16,132 --> 00:03:19,258 Oh, you want to know, like, the conditions of the factory 59 00:03:19,258 --> 00:03:22,870 or whether it's vegan, GMO-free, organic, free range? 60 00:03:22,870 --> 00:03:25,803 Well, you're going to need a whole lot more data points. 61 00:03:26,352 --> 00:03:29,674 All this from one really valid question. 62 00:03:30,877 --> 00:03:34,114 So why is it that this is a question we should be asking? 63 00:03:34,521 --> 00:03:39,562 Well, we have a reported 40.3 million people 64 00:03:39,562 --> 00:03:41,547 in some form of modern slavery 65 00:03:41,547 --> 00:03:44,062 in the supply chains of the products we buy. 66 00:03:44,758 --> 00:03:47,644 It's estimated that 71% of them are women. 67 00:03:48,043 --> 00:03:51,399 And we are in the midst of the sixth great extinction - 68 00:03:51,399 --> 00:03:54,198 the Anthropocene, or age of humans - 69 00:03:54,198 --> 00:03:56,457 because it's us that's having the impact. 70 00:03:57,563 --> 00:03:59,856 This is not okay. 71 00:04:00,028 --> 00:04:03,262 The data that I collect, it's a person, it's a habitat. 72 00:04:03,262 --> 00:04:06,835 I've got to tell you, sometimes you can't see that through the spreadsheets. 73 00:04:06,835 --> 00:04:08,901 But I, really, I can't lose sight of this, 74 00:04:08,901 --> 00:04:10,947 because it's my analysis of this data 75 00:04:10,947 --> 00:04:14,122 that enables a company to make a more sustainable decision. 76 00:04:15,096 --> 00:04:18,912 But sometimes, companies don't have the visibility that they need, 77 00:04:19,219 --> 00:04:22,943 so whether it's through limitations of information or ignorance 78 00:04:22,943 --> 00:04:25,362 or sometimes deliberate avoidance. 79 00:04:25,501 --> 00:04:29,010 And this lack of transparency is a huge problem for everyone. 80 00:04:29,710 --> 00:04:33,525 In fact, in a study done last year, which was a global study, 81 00:04:33,525 --> 00:04:38,649 54% of the manufacturers surveyed said they had no visibility 82 00:04:38,649 --> 00:04:42,381 into their supply chain and sustainability related risks. 83 00:04:42,381 --> 00:04:45,129 So we've got a bit of a problem. 84 00:04:45,129 --> 00:04:46,618 A really big gap. 85 00:04:47,843 --> 00:04:49,911 But what if there was a better way? 86 00:04:50,431 --> 00:04:54,866 What if there was a way we could get faster and more accurate data 87 00:04:56,014 --> 00:04:58,793 to help us solve these supply chain issues. 88 00:04:59,266 --> 00:05:03,175 What if I could open up my cupboard and scan everything in there 89 00:05:03,175 --> 00:05:05,924 and get a full suite of information about what was there? 90 00:05:06,137 --> 00:05:09,595 From who made it, where it was from, the country of origin, 91 00:05:09,595 --> 00:05:12,833 the greenhouse gas emissions along the supply chain, 92 00:05:12,833 --> 00:05:14,672 the conditions of the factory. 93 00:05:15,038 --> 00:05:20,328 What if technology could help us solve and crack the sustainability code? 94 00:05:20,834 --> 00:05:24,778 Well, industry is actually beginning to deploy this type of technology. 95 00:05:24,908 --> 00:05:26,463 So it enables people like me 96 00:05:26,463 --> 00:05:29,642 to more readily act on the information I've received. 97 00:05:29,824 --> 00:05:33,435 So blockchain, combined with mobile and smart tags, 98 00:05:33,435 --> 00:05:37,346 has been used to trace tuna provided to restaurants in Japan. 99 00:05:37,781 --> 00:05:43,293 Blockchain has also been used to verify fair paid workers for 1,000 coconuts. 100 00:05:44,525 --> 00:05:48,473 What if we could actually train our supply chains to self-check? 101 00:05:48,711 --> 00:05:53,290 Or to identify whether there was a gap or an anomaly in the sustainability data? 102 00:05:54,035 --> 00:05:58,953 What if we could order continuously, rather than just at a point in time? 103 00:05:59,720 --> 00:06:02,978 What if we could combine machine learning 104 00:06:02,978 --> 00:06:05,829 as an application of artificial intelligence 105 00:06:05,829 --> 00:06:07,130 and blockchain 106 00:06:07,130 --> 00:06:09,121 to not just identify and trace 107 00:06:09,121 --> 00:06:12,639 but to validate and assure that the right thing, 108 00:06:12,639 --> 00:06:15,488 from raw material to finished product, 109 00:06:15,488 --> 00:06:19,008 was done correctly all the way through the process? 110 00:06:19,598 --> 00:06:21,936 I believe, and it's my firm belief, 111 00:06:21,936 --> 00:06:24,275 that it's going to be this type of data 112 00:06:24,275 --> 00:06:26,004 and accelerated process 113 00:06:26,004 --> 00:06:30,253 through blockchain, digital technology, and signatures, 114 00:06:30,253 --> 00:06:33,061 and artificial intelligence is going to be crucial 115 00:06:33,061 --> 00:06:35,452 in enabling us to collect the data 116 00:06:35,452 --> 00:06:38,114 to eradicate the issues I mentioned earlier. 117 00:06:38,323 --> 00:06:40,395 And we shouldn't be shying away from this; 118 00:06:40,395 --> 00:06:44,724 we should embrace it because sustainability affects us all. 119 00:06:44,724 --> 00:06:47,068 And so we all need to fight. 120 00:06:47,377 --> 00:06:49,957 It's your fight as consumers 121 00:06:49,957 --> 00:06:51,492 to ask where what you've bought 122 00:06:51,492 --> 00:06:52,568 has come from 123 00:06:52,568 --> 00:06:54,934 and challenge the answers that you're given. 124 00:06:54,934 --> 00:06:58,471 It's the corporate fight to work with like-minded suppliers 125 00:06:58,471 --> 00:07:01,679 who are galvanized towards making these changes. 126 00:07:01,679 --> 00:07:02,851 And it's my fight 127 00:07:02,851 --> 00:07:07,294 to continue to pore through those wretched spreadsheets today 128 00:07:07,294 --> 00:07:09,298 and analyzing and grinding the data 129 00:07:09,298 --> 00:07:12,500 with a firm eye on the technology of tomorrow. 130 00:07:13,514 --> 00:07:16,246 And this should give you a resounding sense of hope 131 00:07:17,062 --> 00:07:19,114 that there are solutions, 132 00:07:19,114 --> 00:07:21,466 that by challenging the status quo, 133 00:07:21,466 --> 00:07:23,139 thinking creatively, 134 00:07:23,139 --> 00:07:27,105 and changing our mindset about how things have always been done 135 00:07:27,105 --> 00:07:30,119 that we can adopt new and exciting ways 136 00:07:30,119 --> 00:07:31,914 to change the game 137 00:07:31,914 --> 00:07:36,515 on how we conduct ourselves as corporates and consumers 138 00:07:36,515 --> 00:07:39,313 across an increasingly smaller world. 139 00:07:39,313 --> 00:07:40,504 Thank you. 140 00:07:40,504 --> 00:07:43,521 [Applause]