WEBVTT 1 00:00:00.000 --> 00:00:05.320 He is on ACAA LOMLA sponsored by Teamsters Local nineteen thirty two, protecting the 2 00:00:05.360 --> 00:00:16.120 future of working Families Teamsters nineteen thirty two dot org. The information economy has 3 00:00:16.160 --> 00:00:21.160 a rod. The world is teeming with innovation as new business models reinvent every 4 00:00:21.239 --> 00:00:26.879 industry industry. Inside Analysis is your source of information and insight about how to 5 00:00:26.920 --> 00:00:31.760 make the most of this exciting new era. Learn more at inside analysis dot 6 00:00:31.800 --> 00:00:36.520 com, insideanalysis dot com. And now here's your host, Eric Kavanaugh. 7 00:00:41.159 --> 00:00:44.159 All Right, ladies and gentlemen, Hello and welcome back once again to the 8 00:00:44.200 --> 00:00:47.920 only coast to coast radio show all about the information economy. It's time for 9 00:00:48.000 --> 00:00:53.119 Inside Analysis. You're truly Eric Kavanaugh here and a great lineup of guests for 10 00:00:53.159 --> 00:00:56.240 you. Today. We'll be talking to Al Besmeyer. He's from a company 11 00:00:56.240 --> 00:01:00.280 called via Metiici. They do master data management and data everdence and basically help 12 00:01:00.399 --> 00:01:06.439 reconcile information systems, which is pretty important stuff these days. And Daz Cootie 13 00:01:06.519 --> 00:01:10.239 is here with us as well from sustain three sixty and they're doing some excellent 14 00:01:10.280 --> 00:01:15.480 work in guess what it is sustainability and tracking suppliers and being responsible about these 15 00:01:15.519 --> 00:01:21.000 things and so we're going to talk today about practical sustainability, like how can 16 00:01:21.000 --> 00:01:23.439 we do good things to help mother Earth. I think most people want to 17 00:01:23.480 --> 00:01:29.280 help mother Earth. I remember the old commercial of the Indian on the side 18 00:01:29.280 --> 00:01:32.480 of the road. This is like in the mid nineteen seventies and they showed 19 00:01:32.480 --> 00:01:34.000 a Native America to the side of the road. He looked down their garbage 20 00:01:34.000 --> 00:01:37.519 all over the side of the road, and the poor guy's crying. And 21 00:01:37.680 --> 00:01:40.400 let me tell you, everyone felt bad. Okay, everyone who saw that 22 00:01:40.439 --> 00:01:42.280 commercial felt bad. We're like, oh man, we got to do better 23 00:01:42.319 --> 00:01:47.040 than that. And just garbage litter. It's just bad news, you know. 24 00:01:47.200 --> 00:01:49.359 So we've come a long way, I think, in a whole bunch 25 00:01:49.400 --> 00:01:53.640 of different ways. Quite frankly, we don't litter as much these days. 26 00:01:53.680 --> 00:01:57.280 We try to recycle. I remember the old mantra reduce, reuse, recycle 27 00:01:57.599 --> 00:02:00.719 good stuff. Of course, emissions are big on radar these days, and 28 00:02:01.040 --> 00:02:05.079 we are concerned about what's going on with CO two. And I do want 29 00:02:05.079 --> 00:02:07.439 to throw out one of my theories and get the expert opinion to these gentlemen 30 00:02:07.639 --> 00:02:12.840 as we talk about this stuff, because the focus here again is practical sustainability. 31 00:02:12.879 --> 00:02:15.919 So what can we do practically that can help us be better stewards of 32 00:02:15.960 --> 00:02:21.080 Earth is the bottom line. And the Clean Water Act, clean Air actings 33 00:02:21.080 --> 00:02:23.319 of this nature have gone a long way, folks. I mean, I 34 00:02:23.319 --> 00:02:27.120 got to tell you, I'm fifty six years old, and I remember when 35 00:02:27.240 --> 00:02:30.159 Lake Erie, you know, the mistake on the lake, as they joked, 36 00:02:30.360 --> 00:02:32.479 it caught fire because there was so much oil and other terrible stuff. 37 00:02:32.479 --> 00:02:36.719 I mean, they used to just dump everything in these rivers in these lakes. 38 00:02:36.759 --> 00:02:39.479 It was just dreadful. And we've really improved on that front quite a 39 00:02:39.479 --> 00:02:44.560 bit. But there are other things that come into play. At the mouth 40 00:02:44.599 --> 00:02:47.479 of the Mississippi. For example, there is a dead zone which is largely 41 00:02:47.560 --> 00:02:53.879 because of toxins coming from petrochemicals including nitrogen and phosphorus and other things from the 42 00:02:53.919 --> 00:02:58.319 Mississippi going all the way down through the United States and then going out at 43 00:02:58.319 --> 00:03:01.400 the mouth of the Mississippi zone down there. What can we do about that? 44 00:03:01.520 --> 00:03:05.400 I Mean, I've had various ideas over the years. I would love 45 00:03:05.400 --> 00:03:10.240 to see capital projects focus on water delivery things of that nature. Every year 46 00:03:10.240 --> 00:03:15.120 the Mississippi overflows, we could set up aqueducts to deliver water across the country. 47 00:03:15.120 --> 00:03:19.240 There are lots of different things we can do, and especially if caps 48 00:03:19.240 --> 00:03:22.960 are melting up in Canada, we can find some way to leverage that and 49 00:03:23.000 --> 00:03:28.439 be strategic about managing these resources. On of course, our federal government spends 50 00:03:28.479 --> 00:03:30.719 a lot of money and did in the two thousand and eight financial crisis bailing 51 00:03:30.719 --> 00:03:34.719 out the big banks. Well was that smart? I don't know. Some 52 00:03:34.759 --> 00:03:38.159 people say it wasn't. I would love to see these capital improvement projects, 53 00:03:38.280 --> 00:03:42.520 but I do want to throw out this theory I had about understanding the impact 54 00:03:42.599 --> 00:03:46.080 of CO two because, of course, the general belief is that there's too 55 00:03:46.159 --> 00:03:49.759 much CO two and that it's causing storms to get more severe. And this 56 00:03:49.800 --> 00:03:52.800 is very possible. If you think about all the cars that are burning, 57 00:03:52.840 --> 00:03:55.599 all the factories running, a lot of CO two is being produced. Well, 58 00:03:55.719 --> 00:04:00.400 what's interesting is we do have a test case. We do have a 59 00:04:00.520 --> 00:04:04.960 very clear line of demarcation when CO two levels dropped at least from human production, 60 00:04:05.039 --> 00:04:10.680 and that was the COVID lockdowns. Think about we locked down all over 61 00:04:10.680 --> 00:04:13.560 the world, especially here in the States. I can tell you it really 62 00:04:13.639 --> 00:04:16.600 April was the peak. But April and May even into June there was a 63 00:04:16.839 --> 00:04:21.399 serious lowering of CO two emissions because people just weren't driving around, and I 64 00:04:21.439 --> 00:04:25.480 noticed some things that were very interesting. We actually had to go for a 65 00:04:25.519 --> 00:04:29.319 medical treatment for my wife across the state, so we drove and like it 66 00:04:29.360 --> 00:04:30.680 was like March, so it was in the heat of all this stuff. 67 00:04:30.680 --> 00:04:33.439 It was really intense. We were in New York City when it was all 68 00:04:33.439 --> 00:04:38.639 going down. No one was leaving. They were banging the pots at sunset 69 00:04:38.720 --> 00:04:42.240 to thank all the medical workers. It was intense stuff. But what I 70 00:04:42.360 --> 00:04:46.120 noticed for several months after that is a lot of the animals came out. 71 00:04:46.319 --> 00:04:48.279 There are many more birds of prey flying around. There are all sorts of 72 00:04:48.360 --> 00:04:51.279 animals coming out, and it's like they're like, all right, those humans 73 00:04:51.319 --> 00:04:54.759 finally stayed inside, Let's go back and do our thing. They just came 74 00:04:54.800 --> 00:04:57.439 out everywhere. So I thought that was pretty cool. But then I thought 75 00:04:57.480 --> 00:05:01.519 to myself, you know, we should see some change in the atmosphere with 76 00:05:01.639 --> 00:05:05.319 that dramatic a drop. The drop is estimated like eight nine percent, I 77 00:05:05.360 --> 00:05:10.839 read today seventeen percent during April of twenty twenty. Well, think about it. 78 00:05:10.879 --> 00:05:14.519 The Earth is on an annual cycle for weather, So if you look 79 00:05:14.600 --> 00:05:17.079 one year later, what do you see around the world and guess what, 80 00:05:17.160 --> 00:05:23.920 there were some changes. Texas rows for days, Houston freaked out, they 81 00:05:23.959 --> 00:05:27.959 lost power, they lost water, all kind of terrible stuff happened because they 82 00:05:28.040 --> 00:05:30.279 just weren't used to that kind of thing. And we've seen some strange weather 83 00:05:30.319 --> 00:05:35.639 patterns too, which stands to reason. So things changed, But did they 84 00:05:35.720 --> 00:05:40.000 change strategically in the way we want them to change? And I think that's 85 00:05:40.000 --> 00:05:44.439 an open question going forward as we talk about CO two levels and what we 86 00:05:44.439 --> 00:05:46.399 can do about it. And I did some research as well, and you 87 00:05:46.439 --> 00:05:49.720 know CO two levels used to be much higher a long, long time ago, 88 00:05:49.879 --> 00:05:54.279 a quarter of a billion years ago. CO two levels for estimated to 89 00:05:54.279 --> 00:05:59.040 be about point five percent their point oh four percent now, so that historic 90 00:05:59.160 --> 00:06:02.279 lows in terms of the evolution of Earth. What does that mean. I 91 00:06:02.279 --> 00:06:06.079 don't know exactly. It was hotter back then. I'm guessing there were dinosaurs 92 00:06:06.079 --> 00:06:10.040 and lots of lizards and huge plants and all kind of stuff going on. 93 00:06:10.360 --> 00:06:14.879 So things have changed remarkably. But I get back to practical sustainability. So 94 00:06:14.920 --> 00:06:18.000 the gentleman today can really help us understand how to do practical things in supply 95 00:06:18.160 --> 00:06:23.959 chain but also in our daily habits and in our data and using our data. 96 00:06:24.040 --> 00:06:26.839 So with that, let me bring in our two guests. First, 97 00:06:26.920 --> 00:06:30.120 Baz Couti from Sustaining three to sixty. Welcome to inside Analysis. Tell us 98 00:06:30.120 --> 00:06:32.800 a bit about yourself and what you're working on and what you think about my 99 00:06:32.839 --> 00:06:38.959 crazy theory, no Erica, thank you very much for the opportunity here to 100 00:06:39.360 --> 00:06:46.120 present sustain three to sixty. Been in tech about thirty eight years, kind 101 00:06:46.160 --> 00:06:49.639 of split into two halves. One was working for corporates in industrial space, 102 00:06:50.399 --> 00:06:56.439 so it was Gmson, Schneider and so on, and built a lot of 103 00:06:56.480 --> 00:07:02.399 products which were operational focused, so reducing energy costs and energy efficiency, especially 104 00:07:02.480 --> 00:07:08.199 in data centers and telcos and things like that. And then in two fifteen 105 00:07:08.240 --> 00:07:11.639 I become an entrepreneur with my first startup, which is in data centers, 106 00:07:12.480 --> 00:07:17.879 and we focused the use of AI and advanced techniques and using data within data 107 00:07:17.920 --> 00:07:23.959 centers to reduce the environmental impact or the energy costs within data centers. And 108 00:07:24.000 --> 00:07:28.759 I saw you know, up to eight to twenty five sometimes forty two percent 109 00:07:28.839 --> 00:07:31.879 improvements in energy efficiency within data center. That was a great, great journey. 110 00:07:31.920 --> 00:07:36.759 And then what happened is sort of another opportunity where if we can look 111 00:07:36.800 --> 00:07:43.639 at products and projects like construction projects, but more at design and so how 112 00:07:43.639 --> 00:07:49.680 do we use data during design phases to understand the environmental impact of our materials, 113 00:07:49.680 --> 00:07:55.040 products, suppliers, supply chains and so on. And so our formed 114 00:07:55.040 --> 00:07:59.800 sustained three sixty just over a couple of years ago, and then we incubated 115 00:08:01.040 --> 00:08:07.439 and board the product to market stem last year and the product effectively allows customers, 116 00:08:07.439 --> 00:08:13.279 manufacturers and construction companies where we're bringing their design documents and design data and 117 00:08:13.319 --> 00:08:18.720 then we profile that data from an environmental impact perspective and then recommend alternatives to 118 00:08:18.839 --> 00:08:24.720 reduce that. So that's for purposes sustainably. There we're seeing on average thirty 119 00:08:24.839 --> 00:08:30.199 eight percent and in one case with project we did was about sixty four percent 120 00:08:30.319 --> 00:08:37.240 improvement environmental impacts. So design can have my view, design and operational efficiency 121 00:08:37.240 --> 00:08:43.000 put together can have a really material impact on the carbon footprint. Yeah, 122 00:08:43.039 --> 00:08:50.480 and you are basically building out or you have built out a matrix or a 123 00:08:50.559 --> 00:08:54.600 repository of information about suppliers all over the world. Right, and of course 124 00:08:54.600 --> 00:09:00.120 you mentioned before the show that industries have their own documentation on suppliers. Of 125 00:09:00.159 --> 00:09:03.080 course, clients have their own and you've been able to reconcile a lot of 126 00:09:03.080 --> 00:09:07.879 this disparate data to get a strategic view of all those suppliers worldwide. Is 127 00:09:07.919 --> 00:09:11.080 that right? Call us about that for a minute, and just suppliers. 128 00:09:11.120 --> 00:09:16.200 It's also looking at material that since the nineties the world has been put in. 129 00:09:16.960 --> 00:09:24.559 Environmental engineers and scientists around the world as built out databases which can take 130 00:09:24.679 --> 00:09:28.919 a resin, for example, and for that resin, you can immediately know 131 00:09:28.039 --> 00:09:33.840 the environmental impact for it, and so we can model what's called a life 132 00:09:33.879 --> 00:09:39.440 cycle assessment for that resin. And so the databases out there have this information. 133 00:09:39.600 --> 00:09:46.440 What's not being done is actually optimating that external data with internal data and 134 00:09:46.519 --> 00:09:48.960 matching the two together. And that's what we've done, and hence the relationship 135 00:09:50.080 --> 00:09:58.399 with ours organization, because it's all about master data management and standardization. Yeah, 136 00:09:58.399 --> 00:10:01.639 that's a good segree to bring our in. So al Bismeyer from vam 137 00:10:01.679 --> 00:10:07.120 METICI you have an MDM solution master data management, and so that allows organizations 138 00:10:07.159 --> 00:10:13.600 to reconcile all of these dispirit information systems to get that strategic view. And 139 00:10:13.720 --> 00:10:18.720 it sounds like this partnership between your company and sustained three sixties is really quite 140 00:10:18.759 --> 00:10:24.799 complimentary. Can you tell us about that? It's very complimentary, Thanks Eric. 141 00:10:24.519 --> 00:10:28.000 Basically, like Beaz, I've been in the industry for quite a long 142 00:10:28.080 --> 00:10:31.919 time, not quite as long as him. I've only been in for about 143 00:10:31.919 --> 00:10:35.679 thirty years. But I met Baz years and years ago as at Microsoft, 144 00:10:35.679 --> 00:10:39.759 and he was at Emerson and he was doing the environmental you know, as 145 00:10:39.759 --> 00:10:46.440 he mentioned the data center stuff, and our company specializes in master data management 146 00:10:46.480 --> 00:10:50.519 and product information management and space out of Germany, and Germany is way ahead 147 00:10:50.639 --> 00:10:54.279 and Europe in general our way ahead of the US in many respects that it 148 00:10:54.279 --> 00:11:00.480 looks at environmental impacts and impacts on things that are going on with the and 149 00:11:00.519 --> 00:11:05.159 so with the accession of California, I'll put that at a caveat, but 150 00:11:05.639 --> 00:11:09.519 if you look at you know where Europe is and where Germany is specifically, 151 00:11:09.600 --> 00:11:11.000 and none of our customers have come and said, hey, we really have 152 00:11:11.720 --> 00:11:18.639 a number of issues as it pertains to our product information and the impact that 153 00:11:18.639 --> 00:11:22.480 we're having within the environment. And so I reached out to Baz and said, 154 00:11:22.519 --> 00:11:26.320 you know, I think there's an opportunity for us to collaborate and work 155 00:11:26.360 --> 00:11:31.120 with our customers on this because your knowledge and what you bring to the table, 156 00:11:31.200 --> 00:11:35.320 in concert with the data that we're working with within these organizations, we 157 00:11:35.360 --> 00:11:39.679 can actually provide benefit and its real world benefit where they can do an analysis 158 00:11:39.720 --> 00:11:46.120 and have an impact within the organizations and minimize their liability and also address what's 159 00:11:46.159 --> 00:11:52.200 going on environmentally. And so we see this as a huge opportunity for both 160 00:11:52.200 --> 00:11:58.039 of our organizations, but also more importantly for the companies that we work with, 161 00:11:58.120 --> 00:12:01.600 and you know, the environment in general. It's going to have a 162 00:12:01.639 --> 00:12:05.679 big impact. I would say, well, and I mean just from a 163 00:12:05.759 --> 00:12:09.519 logistics perspective, and I guess I'll throw this out there that I love seeing 164 00:12:11.279 --> 00:12:16.559 this effort to provide value on multiple levels because I think in the abstract, 165 00:12:16.639 --> 00:12:20.960 if you just tell people to reduce their CO two emissions, it's kind of 166 00:12:20.960 --> 00:12:22.759 hard to wrap your head around that and like, what am I going to 167 00:12:22.840 --> 00:12:26.039 do and how is that going to really help? But when you start layering 168 00:12:26.080 --> 00:12:33.279 in business value cost savings, reducing expenses thanks to this nature, now business 169 00:12:33.320 --> 00:12:35.639 people go oh okay, well that's a conversation I will gladly have. And 170 00:12:35.679 --> 00:12:41.320 so if I can help the environment by lowering my costs, that's good, 171 00:12:41.600 --> 00:12:46.159 but also understanding where the products and services are coming from, right, so 172 00:12:46.240 --> 00:12:50.120 being able to do the math understanding if I buy products from this country over 173 00:12:50.120 --> 00:12:54.480 here, you know, what is the impact of bringing it all the way 174 00:12:54.480 --> 00:12:58.360 over to Detroit to build something versus some product maybe in South America or somewhere 175 00:12:58.360 --> 00:13:03.759 else. That's Those are fairly complex things to sort out. But once you 176 00:13:03.879 --> 00:13:07.879 have a mechanism in place to do that, it's very valuable. Right now, 177 00:13:09.559 --> 00:13:13.120 it is actually, and there's also another side to the equation. I 178 00:13:13.120 --> 00:13:16.720 think actually what you just said is spot on. I also think though that 179 00:13:16.919 --> 00:13:20.840 in what we're seeing, and we've done a few webinars and discussions with our 180 00:13:20.840 --> 00:13:26.639 customers about this. If you look at the consumer consumers want to buy environmentally 181 00:13:28.399 --> 00:13:33.080 friendly products. A lot of the challenges that they don't know who they environmentally 182 00:13:33.120 --> 00:13:39.600 provide. The environmental product producers are other than people that self proclaim that they're 183 00:13:39.679 --> 00:13:45.440 environmentally good. And so if you have a third party validation or you're actual 184 00:13:45.600 --> 00:13:50.120 to actually assess the things that are within the product, then it doesn't become 185 00:13:50.159 --> 00:13:52.320 as much of an abstract. So, as you mentioned, you know, 186 00:13:52.399 --> 00:13:56.200 CO two is one thing, but you start looking at chemicals as another thing, 187 00:13:56.360 --> 00:14:00.919 or you start looking at air quality as a thing, or you start 188 00:14:00.960 --> 00:14:07.759 looking at other components in terms of reusability and life cycle. That becomes much 189 00:14:07.799 --> 00:14:11.320 more tangible for a consumer. So you have two aspects. You have. 190 00:14:11.360 --> 00:14:16.440 One is the internal you know, being compliant, being compliant either to your 191 00:14:16.039 --> 00:14:20.559 people that are part of your supply chain in terms of your customers business the 192 00:14:20.559 --> 00:14:24.519 business type of scenario. And then you also have working with the consumer and 193 00:14:26.039 --> 00:14:30.080 our being able to provide a product which has a lower environmental impact, which 194 00:14:30.120 --> 00:14:33.639 is validated, and then the consumer feels good about what they're saying. And 195 00:14:33.679 --> 00:14:37.679 we've seen people that say, you know, consumers are willing to pay seventy 196 00:14:37.679 --> 00:14:43.840 percent of consumers are willing to pay you know, a premium for products that 197 00:14:43.919 --> 00:14:48.679 are environmentally compliant because intrinically they want to have less of an impact on the 198 00:14:48.799 --> 00:14:54.480 environment and then want the products that they're consuming to be you know, a 199 00:14:54.519 --> 00:14:58.080 little impact products, which we're seeing a lot of people get behind in certain 200 00:14:58.120 --> 00:15:03.919 industry specific you know, kind of the fashion industry is a big pressure there 201 00:15:03.639 --> 00:15:09.679 with the construction building supply industry is starting to look at that too, and 202 00:15:09.120 --> 00:15:13.960 so there's different verticals that are our industries that are kind of getting behind us 203 00:15:13.759 --> 00:15:18.320 as we see. Yeah, and bas I'll throw this back over to you. 204 00:15:18.639 --> 00:15:22.840 It to that end, having an information resource like you folks have collaborative, 205 00:15:24.039 --> 00:15:28.679 collaboratively built, that's a big deal because what gets measured gets managed and 206 00:15:28.720 --> 00:15:33.159 you can provide some detail around that. I think you even said you've got 207 00:15:33.639 --> 00:15:37.879 some foundational model or something that's woven into it that's making recommendations for folks. 208 00:15:37.879 --> 00:15:41.399 Can you talk about that real quick? Absolutely? So, once you've got 209 00:15:41.480 --> 00:15:46.480 kind of this fabric built out across different data sources, not big data, 210 00:15:46.600 --> 00:15:52.159 it's just disparent data. And a lot of that data is also unstructured, 211 00:15:52.279 --> 00:15:56.159 so it's in PDFs. And what I mean by that is this in safety 212 00:15:56.200 --> 00:16:00.480 sheets, it's in bill ladings, it's in the environment product declaration sheets. 213 00:16:02.080 --> 00:16:06.879 So a lot of the data which is in the RP systems, which are 214 00:16:06.919 --> 00:16:11.559 attachments to a transaction which has been done, but the data is there, 215 00:16:11.799 --> 00:16:14.840 So how do we sort of pull that data together. Once you've done that 216 00:16:14.919 --> 00:16:18.399 and that that data layer is in place, you've now got and you bring 217 00:16:18.440 --> 00:16:22.759 the external data in as well, so you're now matching external data where standards 218 00:16:22.799 --> 00:16:30.600 have been put in place around environmental metrics by whether it's generic or across industry 219 00:16:30.679 --> 00:16:34.440 verticals. You bring in external data and you're fusing these two things together. 220 00:16:36.159 --> 00:16:41.679 That then allows you to what we've built is what's called a micro foundational model. 221 00:16:41.080 --> 00:16:47.559 So it's a large language model with about sixty seven billion tokens in it. 222 00:16:47.559 --> 00:16:52.320 It's not too small, and it's the world's first, collaboratively world's first 223 00:16:53.919 --> 00:16:59.559 a foundational model which allows you to focus on sustainability. And now you've got 224 00:16:59.600 --> 00:17:04.799 that, you've got prompt engineering where you can start typing in I've got material 225 00:17:04.960 --> 00:17:11.279 X, Y and Z in my products, in my supplies, find me 226 00:17:11.400 --> 00:17:15.440 the best alternatives. I think A recommends on this on behalf or I've got 227 00:17:15.480 --> 00:17:18.880 material X, Y and Z. Tell me whether this material has four our 228 00:17:18.000 --> 00:17:23.200 chemicals and it has got packagings in it. And so also think these advanced 229 00:17:23.240 --> 00:17:30.599 techniques in the eye and these data engineering techniques to actually solve real well problems 230 00:17:30.680 --> 00:17:34.839 very very quickly and like coll AI for good. And so that's hopefully I 231 00:17:34.920 --> 00:17:38.960 gives you a kind of practical example of use. Yeah, that is absolutely 232 00:17:40.039 --> 00:17:42.480 fantastic, and we can kind of dig more in the next segment about what 233 00:17:42.519 --> 00:17:48.240 that means, but using one of these foundational models as the method of communication 234 00:17:48.799 --> 00:17:52.720 between the human and the data, which, as you suggest, is wildly 235 00:17:52.839 --> 00:17:56.759 disparate. That's a really seriously big deal and you really kind of couldn't have 236 00:17:56.880 --> 00:18:00.839 done it before this layer. I mean, we've had elastics and other things, 237 00:18:00.880 --> 00:18:03.559 but nothing like what you see with these foundational models, of Folks, 238 00:18:03.599 --> 00:18:08.319 don't touch out that. I'll be right back. You're listening to Inside Analysis 239 00:18:10.839 --> 00:18:18.680 now, welcome back to Inside Analysis. Here's your host, Eric Tabanaugh, 240 00:18:18.880 --> 00:18:22.920 and take to all right, folks, back here on Inside Analysis, talking 241 00:18:22.960 --> 00:18:29.720 with a couple experts in sustainability and also data. Data fuels decision making. 242 00:18:29.839 --> 00:18:33.200 That's what you want. And the solutions we have these days, folks, 243 00:18:33.240 --> 00:18:36.160 are really quite impressive, and the one I just heard about in the past 244 00:18:36.200 --> 00:18:40.440 segment is one of the more impressive ones I've come across and does actually help 245 00:18:40.519 --> 00:18:44.960 me prove out a prediction I've made that these foundational models really are going to 246 00:18:45.079 --> 00:18:48.440 change everything. They are not be all and all solutions. You use them 247 00:18:48.480 --> 00:18:52.440 in a particular workflow. They do need to be fine tuned and monitored and 248 00:18:52.480 --> 00:18:57.200 curated for sure. We've talked in the past about foundational models. How when 249 00:18:57.279 --> 00:19:02.839 they get to the fringe of certain and subjects, that's when they start manufacturing 250 00:19:03.200 --> 00:19:07.079 ideas and making stuff up errors. Some people call them hallucinations. It's not 251 00:19:07.119 --> 00:19:11.799 really hallucination. It's just it made something up in generated text based upon a 252 00:19:11.880 --> 00:19:15.440 prompt and its training. And if it doesn't have training in a particular domain, 253 00:19:15.519 --> 00:19:18.559 that's where it starts to get a little bit loosey goosey. But if 254 00:19:18.599 --> 00:19:22.359 you do have a tight focus on something, that's very good. And I 255 00:19:22.359 --> 00:19:26.960 should point out that these models tend to be consensus engines more than anything else. 256 00:19:27.039 --> 00:19:32.200 So when you've trained a whole bunch of data, we train a model 257 00:19:32.240 --> 00:19:34.400 on a whole bunch of data, whatever you've trained it on. If there's 258 00:19:34.559 --> 00:19:37.559 enough, it's going to find the average and it's going to give you a 259 00:19:37.599 --> 00:19:44.039 decent explanatory answer. It's when you haven't fully trained it on a particular domain 260 00:19:44.160 --> 00:19:48.000 of information that's when you kind of run in some trouble. But these focused 261 00:19:48.000 --> 00:19:51.359 models, I think are going to be very powerful because they are focused on 262 00:19:51.400 --> 00:19:55.960 a particular domain of expertise or of information. And now we were just talking 263 00:19:55.960 --> 00:20:02.400 in the last segment with Baz about this foundational model for sourcing for product information. 264 00:20:02.839 --> 00:20:03.359 And you know, you and I have been around for a while in 265 00:20:03.400 --> 00:20:07.920 this industry. Old fashioned search not so good on topics like that. I 266 00:20:07.920 --> 00:20:11.319 mean, Google obviously has done a great job on Google Search, but even 267 00:20:11.359 --> 00:20:15.640 their Google Search appliances. I talked to someone at a conference in April who 268 00:20:15.720 --> 00:20:18.240 gave me the inside scoops. She was like, Yeah, we never really 269 00:20:18.359 --> 00:20:22.440 quite got it to where we hoped to get it, and it just didn't 270 00:20:22.519 --> 00:20:26.079 quite work out. And I think that's actually where chatbots came from, because 271 00:20:26.079 --> 00:20:29.680 search on websites was just a disaster. It just wasn't working very well, 272 00:20:30.119 --> 00:20:33.200 and so you had the chatbots. The early ones they weren't also not so 273 00:20:33.279 --> 00:20:37.119 great. But now with these foundational models and there's something of a configuration engine 274 00:20:37.160 --> 00:20:41.359 you're going to talk about too, we're really getting somewhere and that is a 275 00:20:41.599 --> 00:20:45.000 very big door that we're opening to new possibilities. But I'll tell us about 276 00:20:45.039 --> 00:20:48.960 this configuration thing on the foundational model the bas mentioned. Yeah, so we're 277 00:20:48.960 --> 00:20:53.200 working with that and this is a huge thing. So Vamaniche actually as a 278 00:20:53.240 --> 00:20:57.480 configurator, and what allows companies to do is modify the actual products. That's 279 00:20:57.480 --> 00:21:02.599 that they're creating based on the active accepts that they want to pull together for 280 00:21:02.680 --> 00:21:07.920 a product. So you take a bill of material, remash it essentially, 281 00:21:07.960 --> 00:21:11.559 and you can minimize the scope of what you're creating and a lot side of 282 00:21:11.599 --> 00:21:15.480 the line, Well, what this means is if you take it in concert 283 00:21:15.519 --> 00:21:21.200 with the foundational model that Vaza is talking about, is conceptually you could actually 284 00:21:21.240 --> 00:21:25.559 take a product and you could configure it, and then you could run and 285 00:21:25.599 --> 00:21:32.400 see which product, based on its configuration as the lowest environmental impact, and 286 00:21:32.440 --> 00:21:34.079 you can actually look at the cost that's associated with it, and you could 287 00:21:34.119 --> 00:21:41.359 also if there are substitute materials for essentially in concert with the configuration. So 288 00:21:41.400 --> 00:21:47.319 now you have you're going from what could you have essentially equivalent product maybe with 289 00:21:47.440 --> 00:21:53.720 some fewer things potentially that immediate meet the business requirement that you have, and 290 00:21:53.799 --> 00:21:56.880 you can look at the difference in terms of its impact, and you can 291 00:21:56.920 --> 00:22:00.880 also look at the difference that it has in terms of the cost for your 292 00:22:00.960 --> 00:22:06.440 organization and all these types of things. And that is very much revolutionary because 293 00:22:06.920 --> 00:22:10.640 now you don't you're not sitting down and building this out for every single thing. 294 00:22:10.680 --> 00:22:14.559 You can do it very dynamically for all, a lot of new products 295 00:22:14.599 --> 00:22:18.920 that you're creating, and you know, it's it's a I think significantly, 296 00:22:18.079 --> 00:22:22.119 but in terms of not only what you do from the creation of a product, 297 00:22:22.119 --> 00:22:26.640 but it's impact on the environment and how it's been utilized within you know, 298 00:22:26.720 --> 00:22:32.000 the product ecosystem that's out there and that applies a lot of different products. 299 00:22:32.559 --> 00:22:34.759 Yeah, that's that's really cool. And also I'll just point out that 300 00:22:34.920 --> 00:22:40.720 when you grease the tracks to exploration and discovery, people will do more of 301 00:22:40.759 --> 00:22:44.240 it. I think there was an opportunity cost people didn't really look into it 302 00:22:44.240 --> 00:22:45.559 because it was really hard to look into before. I mean, if you 303 00:22:45.599 --> 00:22:49.119 don't have a directory that you can search and you just have to do things 304 00:22:49.160 --> 00:22:52.960 manually, and that's you know, that's a tremendous amount of work and is 305 00:22:53.000 --> 00:22:56.759 it really going to be worth your effort? You know, unless people get 306 00:22:56.759 --> 00:23:00.359 some reward pretty quickly from the effort they put into a task, they're not 307 00:23:00.400 --> 00:23:03.440 going to want to put that much effort into the task. So the fact 308 00:23:03.440 --> 00:23:07.319 that you've opened this door and made it possible, I have to think that 309 00:23:07.319 --> 00:23:08.960 the people who are using this are like, Wow, this is pretty cool. 310 00:23:10.000 --> 00:23:12.359 Is that about right out? Oh, it's super cool and I even 311 00:23:12.359 --> 00:23:15.640 I fact, just take the configuration piece out. Let's just talk about the 312 00:23:15.680 --> 00:23:19.920 foundational piece. The speed is amazing. I mean, guys and I would 313 00:23:21.200 --> 00:23:23.960 like cause we get together and we look at how much how many records were 314 00:23:25.480 --> 00:23:29.920 you know, actually you're running through from an LMM perspective, and you just 315 00:23:30.039 --> 00:23:34.039 can't believe how quickly you're getting a return. I mean, it is unbelievable. 316 00:23:34.240 --> 00:23:41.960 It's if you look at the speed and also the aspect that the concern 317 00:23:42.079 --> 00:23:48.960 with large language models is that the day three goes outside of your organization, 318 00:23:49.119 --> 00:23:55.640 the security aspect and the privacy aspects of it. And what we've done collaboratively 319 00:23:55.839 --> 00:23:59.839 is that we've built these models. These MIC has been called the micro foundation 320 00:24:00.039 --> 00:24:06.240 because they're focused on a domain. The focused on sustainability. And so if 321 00:24:06.240 --> 00:24:11.519 you build a sustainability assistant for you, then that needs to run on your 322 00:24:11.599 --> 00:24:17.599 data within your organization, within your cloud, within your VPC, or within 323 00:24:17.640 --> 00:24:22.160 your data center, and then the privacy is protected and data protection is in 324 00:24:22.279 --> 00:24:26.960 place and the only sending out information you need if you need to go to 325 00:24:26.119 --> 00:24:33.039 a large language model and you control what data goes out. The actual foundational 326 00:24:33.119 --> 00:24:37.559 model we've created the micro model graded is actually running within your infrastructure. It's 327 00:24:37.559 --> 00:24:42.920 not running outside of your infrastructure, and it's learned your data and it's factorized 328 00:24:42.920 --> 00:24:52.200 that data so that we can make that search super super contextual to the problem. 329 00:24:52.559 --> 00:24:53.839 Yeah, he came back there. I saw it freeze for a second, 330 00:24:53.839 --> 00:24:56.880 but that he came back. So is there. I mean there's a 331 00:24:57.000 --> 00:25:02.680 RAG model approach that companies are using retrieval augmented generation. Is that in play 332 00:25:02.759 --> 00:25:07.279 here? In other words, when you say the model is running inside your 333 00:25:07.400 --> 00:25:11.480 environment, I'm guessing you've got a vector database and you're actually feeding the embeddings 334 00:25:11.519 --> 00:25:15.839 of your corporate data into this vector database and that it's part of the RAG 335 00:25:15.880 --> 00:25:21.599 model. Correct. Absolutely. So what we're doing in both data sets from 336 00:25:21.599 --> 00:25:26.400 an internal perspective is taking the structured data from your RPS, but the unstructured 337 00:25:26.480 --> 00:25:32.400 data as well in terms of PDFs, and then putting that. One of 338 00:25:32.440 --> 00:25:37.319 the key difference areas that we use a knowledge graph database to build those relations 339 00:25:37.319 --> 00:25:41.759 ships in. So what you're doing is the strength of two nodes, is 340 00:25:41.799 --> 00:25:48.079 the carbon pathways between consumers and producers of carbon or environmental impacts are built in 341 00:25:48.119 --> 00:25:56.200 your knowledge graph. And then that is then presented too, and a search 342 00:25:56.400 --> 00:26:03.559 engine which effectively goes against the sustainable a foundation model to answer your query around 343 00:26:03.839 --> 00:26:08.400 what's the lowest cub and to cost ratio for something. It's very interesting. 344 00:26:08.480 --> 00:26:14.000 So is it a hybrid graph vector database or you have a graph structure and 345 00:26:14.039 --> 00:26:18.319 then a vector database as well, so it's a it's a graph database and 346 00:26:18.359 --> 00:26:22.279 then then it's been vectorized and that's how it's been done. Ok. Wow, 347 00:26:22.480 --> 00:26:26.160 that's pretty fascinated. You guys build your own or are you? Are 348 00:26:26.200 --> 00:26:33.079 you oeming something or weem with a leading provider. Graph databases aren't they very 349 00:26:33.119 --> 00:26:37.039 cool? Yeah? When you I'm a big fan of knowledge graphs because they 350 00:26:37.079 --> 00:26:41.759 do help understand the relationships between things. It's not like a relational database, 351 00:26:41.839 --> 00:26:45.920 which has its own purposes obviously, but graph database is an al a throat 352 00:26:45.920 --> 00:26:49.319 over to you. Graph databases are very good at understanding relationships, right, 353 00:26:49.400 --> 00:26:55.240 nodes and edges, and the nodes or entities the edges are are adjectives basically 354 00:26:55.359 --> 00:27:00.680 facets or characteristics of the nodes, and as such they're very good at being 355 00:27:00.680 --> 00:27:03.720 able to understand what goes with what and how all that can be put together. 356 00:27:03.759 --> 00:27:07.000 Is that about right now. Yeah, well, and that's what we 357 00:27:07.160 --> 00:27:10.079 utilize as well. I mean it is key. I mean, if you 358 00:27:10.160 --> 00:27:14.880 want to look at relationship a supplier to broaduct to consumer to you know, 359 00:27:15.960 --> 00:27:19.519 any you know, item or element that's being utilized, graph is wonderful for 360 00:27:19.559 --> 00:27:23.400 that. You can drill down and you can get into the whole three sixty 361 00:27:23.480 --> 00:27:27.200 view of all the interdependencies and various solutions that are there, which I think 362 00:27:27.279 --> 00:27:33.160 is is where you know the industry is going to go and overall over time. 363 00:27:33.359 --> 00:27:37.200 But it's very powerful. Yeah, well that's I mean, this is 364 00:27:37.319 --> 00:27:41.240 very exciting stuff. So bads, can you give us any thoughts on how 365 00:27:41.240 --> 00:27:45.880 many people are using this or where are you in terms of your overall objective 366 00:27:45.079 --> 00:27:48.079 like what are you doing to get the word out to get more people involved 367 00:27:48.079 --> 00:27:56.400 in this as so as self focus as manufacturing construction sectors and some examples where 368 00:27:56.400 --> 00:28:03.640 we work with when the leading composite companies in the world, so composite fabri 369 00:28:03.720 --> 00:28:08.519 glass companies in the world, which is an alternative to cement. People don't 370 00:28:08.559 --> 00:28:15.200 know that, and so they use our software from all their large projects worldwide 371 00:28:15.799 --> 00:28:25.599 to show their customers that they're how sustainable composites are to steel, cement, 372 00:28:25.799 --> 00:28:33.279 aluminium that's very cool, and so it's a replacement strategy where people haven't considered 373 00:28:33.279 --> 00:28:37.519 that a composite can have the same strength and longevity, will have a material 374 00:28:37.839 --> 00:28:47.319 sustainability of reduction compared to what called carbon bonds, which are the steel, 375 00:28:47.400 --> 00:28:51.759 the glass, the aluminium and the cement out there. And so this is 376 00:28:51.960 --> 00:28:56.799 the world's largest Faber glass manufacturing company and they use our product well every major 377 00:28:56.839 --> 00:29:03.079 project to show clients that you're going down stair building right now. We just 378 00:29:03.079 --> 00:29:08.200 did a project around the largest glass roof in the world right now and it's 379 00:29:08.240 --> 00:29:11.240 going to use a huge amount of glass, and it's still going to use 380 00:29:11.279 --> 00:29:17.519 some of that amount of glass and steal. But they did an alternative design, 381 00:29:18.000 --> 00:29:22.119 which they did structural engineers did. They used our software to show the 382 00:29:22.200 --> 00:29:25.519 cradle to grave as I call it, which which is called which is what's 383 00:29:25.599 --> 00:29:32.960 called circularity, and so cradle to grave view against those alternatives and showed a 384 00:29:33.039 --> 00:29:37.839 thirty i think a thirty six percent reduction in environmental impact and a lot of 385 00:29:37.839 --> 00:29:44.599 that impact was recyclability because composits can be recycled, crushed and reused, whilst 386 00:29:44.680 --> 00:29:48.799 with cement it's very very hard. All it can do is crush it and 387 00:29:48.880 --> 00:29:53.519 effectively and reuse it again. But effectively you can't effectively use it in any 388 00:29:53.559 --> 00:29:57.720 other way going forward. And it's also very toxic once you've actually crushed it 389 00:29:59.079 --> 00:30:03.440 in water it. So these factors are taken into account as we use our 390 00:30:03.839 --> 00:30:10.640 clients use our software. That's one tangible example of people using our software. 391 00:30:11.160 --> 00:30:15.240 Yeah, and you mentioned that glass and steel and aluminium like these typically to 392 00:30:15.359 --> 00:30:19.400 manufacture those, to create them, you're saying, just generates a tremendous amount 393 00:30:19.400 --> 00:30:22.599 of CO two, Is that right, as opponent to this composite, which 394 00:30:22.640 --> 00:30:26.799 is has a much lower footprint. Is that right? Exactly? So if 395 00:30:26.799 --> 00:30:33.000 you look at those four industries and they are the highest outside petroleum, that's 396 00:30:33.119 --> 00:30:38.920 some of the highest carbon emitting products out there in the world. They what 397 00:30:38.960 --> 00:30:42.720 do they do. They take raw material and they put it through a furnace, 398 00:30:42.839 --> 00:30:48.759 okay, and that furnace is heated at a very very high temperature and 399 00:30:49.720 --> 00:30:56.720 uses typically fossil fuels to fuel the furnace. Okay. And so as a 400 00:30:56.759 --> 00:31:02.880 result of that, this huge amount of car and used in the manufacturing of 401 00:31:02.960 --> 00:31:11.559 those particular materials. Whilst composite doesn't uses some degree of energy, but not 402 00:31:11.599 --> 00:31:15.880 to the magnitude of aluminium plant for it. That's very interesting. What are 403 00:31:15.920 --> 00:31:18.200 some of the materials that go into this composite that can you speak to that 404 00:31:18.240 --> 00:31:22.799 at all, like, because, yeah, some of them. So if 405 00:31:22.839 --> 00:31:29.079 you look at the raw material would be a fiberglass. A second material would 406 00:31:29.119 --> 00:31:33.000 be a resin, which binds everything together. In this case, the client, 407 00:31:33.039 --> 00:31:38.839 when we started working with them, we showed a clear change in two 408 00:31:38.960 --> 00:31:45.519 things. Firstly, traditional manufacturing was resins with the fiberglass, and we showed 409 00:31:45.559 --> 00:31:52.079 them that if they used a bio based resin that the reduction was a significant 410 00:31:52.119 --> 00:31:56.160 It was like a two x reduction in the environmental impact. Second thing was 411 00:31:56.200 --> 00:32:02.920 that resin current resin, petrol based resin was being sourced from Asia, and 412 00:32:02.960 --> 00:32:08.000 so we model the supply chain for that resin and as a result of that, 413 00:32:08.480 --> 00:32:15.079 the reduction by moving to a European manufacturer of a bio based resint resulted 414 00:32:15.119 --> 00:32:21.119 in a significant reduction in combon footprint. Those kind of the materials go in. 415 00:32:21.200 --> 00:32:24.640 But this is the alternative. Even in a more sustainable product like a 416 00:32:24.680 --> 00:32:30.680 composite, you've still got opportunities to reduce from the petrol based residence to bio 417 00:32:30.680 --> 00:32:36.279 based residence and improve your supply chain. Yeah, that's cool stuff. And 418 00:32:36.319 --> 00:32:39.279 like I say, when people are aware of the opportunities, they will look 419 00:32:39.319 --> 00:32:43.039 into it if it's easy to do. And that's one of the keys, 420 00:32:43.119 --> 00:32:47.400 right, is that you have facilitated the discovery, the exploration, the understanding 421 00:32:47.680 --> 00:32:51.480 and the modeling. I mean, what you're talking about is price modeling. 422 00:32:51.839 --> 00:32:57.680 You're talking about manufacture processes and understanding how long this takes, how long that 423 00:32:57.720 --> 00:33:01.359 takes, what's the overall cost, what benefits in terms of durability for example, 424 00:33:01.440 --> 00:33:06.480 and reusability. And you talk about toxicity, how some of these old 425 00:33:06.480 --> 00:33:09.839 ways of doing things do create toxic materials. And so I think this is 426 00:33:09.920 --> 00:33:14.839 very interesting that you're kind of opening the kimono, if you will, to 427 00:33:14.960 --> 00:33:17.880 show people that there are other ways of doing things and guess what, they 428 00:33:17.960 --> 00:33:22.000 can save you money, they can save you time, but also you can 429 00:33:22.000 --> 00:33:25.640 create more durable products and at the same time you're helping out the environment. 430 00:33:25.720 --> 00:33:29.920 You know, when you can check all those boxes, that's when people start 431 00:33:29.960 --> 00:33:32.640 to really pay attention and to listen. And you've put some meat and the 432 00:33:32.640 --> 00:33:37.960 bones. Basically you've you've helped justify what is being suggested here, so it's 433 00:33:38.039 --> 00:33:42.839 not just a sacrifice that someone's making. I think that's one of the challenges 434 00:33:42.920 --> 00:33:46.200 right with environmentalism in general, is not even people want to sacrifice stuff. 435 00:33:46.200 --> 00:33:50.039 And folks don't touch on Delbi right back, you're listening to Inside Analysis. 436 00:33:57.279 --> 00:34:05.119 Welcome back to Inside Analysis. You's your host and Eric Tabanac all right, 437 00:34:05.160 --> 00:34:08.440 folks, back on Inside Analysis, talking to Bazakuti from Sustaining three to sixty 438 00:34:08.480 --> 00:34:14.800 and al Bismeyer from VA Medici and we're talking all about practical sustainability and I'm 439 00:34:14.840 --> 00:34:20.039 learning a lot in the show. It's very exciting because materials management is such 440 00:34:20.039 --> 00:34:23.360 a huge space and it's such a big and important space, and certainly in 441 00:34:23.440 --> 00:34:29.679 construction, but in product design and manufacturing kind of knowing the material science behind 442 00:34:29.679 --> 00:34:32.960 things and knowing what's possible. And you know, I'll throw out this historical 443 00:34:34.480 --> 00:34:38.519 point. I remember when I was in middle school reading and Encyclopedia Britannic in 444 00:34:38.559 --> 00:34:43.360 our house. I was looking up polymers and it was a potential path in 445 00:34:43.400 --> 00:34:46.039 my career. I decided not to go down, but I was very fascinated 446 00:34:46.039 --> 00:34:50.320 by it, the chemical side of things. And the engineering side and what 447 00:34:50.400 --> 00:34:53.639 you can do with polymers is very fascinating stuff and we're kind of learning about 448 00:34:53.639 --> 00:34:58.039 that today. And Al, I'd like to throw it back over to you. 449 00:34:58.039 --> 00:35:00.239 You know, as I mentioned, when it's easy to do the right 450 00:35:00.280 --> 00:35:04.000 thing, and you know you're doing the right thing, that's going to grease 451 00:35:04.039 --> 00:35:07.599 the tracks as opposed to someone just trying to guilty into changing your behavior. 452 00:35:07.920 --> 00:35:10.880 I mean, there's a certain psychology around this stuff, right, So it 453 00:35:10.880 --> 00:35:15.800 seems to me you guys are on the right track for giving the information necessary 454 00:35:15.800 --> 00:35:19.440 and building the information systems to enable this stuff. Right. Yeah, it 455 00:35:19.519 --> 00:35:22.960 is well and I think there's several different things though that are kind of going 456 00:35:22.960 --> 00:35:25.880 on. It's almost like a vortex thing going on here. I think if 457 00:35:25.920 --> 00:35:31.599 you look at ESU has been around for a while, some of the compliance 458 00:35:31.800 --> 00:35:37.280 issues have been around for a while in terms of groups that have been requesting 459 00:35:37.320 --> 00:35:42.960 this, and then you have the consumer intent that's interested in being environmental compliant. 460 00:35:43.000 --> 00:35:45.480 But if you look at like the last six months, I would say 461 00:35:45.960 --> 00:35:51.440 the sustainability issue is really heated up and it's really gotten a lot of focus. 462 00:35:51.519 --> 00:35:54.519 And so the European Commission has come out with the Digital Product Passport, 463 00:35:54.599 --> 00:35:59.320 which really says, hey, you know, you need to actually be compliant 464 00:35:59.320 --> 00:36:04.639 by two thousand twenty seven. And the battery technology groups and they have a 465 00:36:04.719 --> 00:36:15.840 Battery Product Battery Declaration, a Digital Product gassport for battery vppm acronym city, 466 00:36:15.840 --> 00:36:21.920 I gotta get these terms of my basically, so they got VPP coming up 467 00:36:22.960 --> 00:36:25.719 and basically so batteries and fashion are kind of leading the charge there, and 468 00:36:25.760 --> 00:36:32.119 it's for compliance as it pertains to carbon and then looking at full life cycle 469 00:36:32.320 --> 00:36:36.960 management of those product sets. But then if you actually take back and look 470 00:36:37.000 --> 00:36:40.960 at California, California obviously had TOP ninety five, which goes back years, 471 00:36:42.239 --> 00:36:45.400 but it looks at a thousand chemicals that are required, and more and more 472 00:36:45.400 --> 00:36:50.039 companies are leaning in for compliance. So with that you have in the building 473 00:36:50.039 --> 00:36:55.159 and construction industry, you're looking at electronic product declarations, which actually looks at 474 00:36:55.159 --> 00:37:00.360 all the materials that are required. And that's into twenty twenty five compliance getting 475 00:37:00.400 --> 00:37:04.000 going in there. And then even with ESG, ESG has come out and 476 00:37:04.039 --> 00:37:07.400 I said, hey, you know, fifty thousand companies have to be compliance 477 00:37:07.480 --> 00:37:10.039 for securities in exchange. But moving into the next two years, there's more 478 00:37:10.039 --> 00:37:15.360 of a proach there. So you have the stick of all these compliance and 479 00:37:15.400 --> 00:37:17.239 governing bodies that are saying, hey, you're going to have to do this. 480 00:37:17.440 --> 00:37:20.760 It's coming down the pike. It's going to be within the next four 481 00:37:20.840 --> 00:37:23.679 or five years. You have Gardner, which is said sustainabilities number two in 482 00:37:23.760 --> 00:37:28.199 terms of their priorities, and they've been pushing that at some of their recent 483 00:37:28.239 --> 00:37:31.519 conferences, and the Wall Street journals coming out with you know, Forever pemical 484 00:37:31.559 --> 00:37:36.880 compliance or DVP compliance, and in the last few months with the front page 485 00:37:36.960 --> 00:37:40.880 articles on these types of things, and so there's a heightened awareness that's going 486 00:37:40.920 --> 00:37:45.880 on. And what I see even within our customers and you ask bads about 487 00:37:45.880 --> 00:37:51.440 customers, but we're looking at a lot In Europe, it's predominantly building supply. 488 00:37:51.639 --> 00:37:53.760 And then in the States here we have a chemical company that's working with 489 00:37:53.840 --> 00:38:00.599 us, and so it's it's compliance on different components of sustainability, and the 490 00:38:00.599 --> 00:38:04.239 full life cycle is one of the things that's being looked at in terms of 491 00:38:04.840 --> 00:38:07.800 how do I do reusability, how do I look at the chemicals that are 492 00:38:07.840 --> 00:38:09.840 associated with it, how do I look at the carbon that's affiliated with it? 493 00:38:10.719 --> 00:38:14.760 So lots of different things that are going on. Some of them are 494 00:38:14.800 --> 00:38:17.320 compliance based, some of them are you know, hey, this is the 495 00:38:17.360 --> 00:38:22.360 right thing to do. And the third thing that I'll mention, which I 496 00:38:22.480 --> 00:38:27.840 mentioned earlier, is a lot of these companies are seeing that consumers they want 497 00:38:27.880 --> 00:38:29.719 to do it. You know, they want you know, if I'm going 498 00:38:29.800 --> 00:38:30.880 to buy a washing machine, I want to have one that's going to work 499 00:38:30.920 --> 00:38:34.199 for a longer period of time. If I'm going to buy you know, 500 00:38:34.239 --> 00:38:37.440 electronic device, I want to make sure that it doesn't have as much of 501 00:38:37.440 --> 00:38:39.679 an impact in terms of, you know, if I throw the battery lay 502 00:38:39.960 --> 00:38:44.519 or which one has a lower impact. More compliance these types of things, 503 00:38:44.519 --> 00:38:47.320 and so there's a push to make sure that that build of material or the 504 00:38:47.320 --> 00:38:53.199 product that's being put out there is environmentally compliant. And it's almost like there's 505 00:38:53.199 --> 00:38:58.880 been a wake up call recently because the inquiries we're getting for this is growing 506 00:38:59.119 --> 00:39:06.000 significantly. I just to say what I'll say on compliance is was in a 507 00:39:06.719 --> 00:39:12.000 if you look at the definition of emissions, it was after the Paris Agreement 508 00:39:12.039 --> 00:39:16.119 in twenty fifteen, and they came out with what we call Scope one, 509 00:39:16.159 --> 00:39:21.960 two and three, and Scope one is a direct emissions are of your plant 510 00:39:22.440 --> 00:39:25.960 in terms of product using energy and so on, and Scope two is effectively 511 00:39:27.039 --> 00:39:32.440 the purchase of that energy to the plant from wherever the utility is. And 512 00:39:32.519 --> 00:39:39.320 Scope three is effectively the supply chain and the use of your products. He's 513 00:39:39.480 --> 00:39:45.519 kind of the big message here and why we at my age create sustained three 514 00:39:45.639 --> 00:39:52.400 sixty is since twenty fifteen, every CSR report out there, a corporate sustainability 515 00:39:52.480 --> 00:40:00.639 report out there which is ESG focused around a standard called GRI, focused on 516 00:40:00.679 --> 00:40:05.400 scope one and two, and they represent thirty percent of emission. So since 517 00:40:05.440 --> 00:40:07.960 two THEOUM and fifteen, what are we focused on thirty percent of emissions? 518 00:40:09.119 --> 00:40:14.559 Seventy percent of emissions are in your supply chain and you you see your products. 519 00:40:15.079 --> 00:40:21.559 Why have we avoided that? We've avoided that because it's a data problem. 520 00:40:22.280 --> 00:40:25.239 I'll mention one more thing, Eric, because I just kind of popped 521 00:40:25.239 --> 00:40:30.320 in my head. But in addition to all these standards and regulatory things, 522 00:40:30.480 --> 00:40:34.760 another thing I've seen in the last two years is the number of senior vps 523 00:40:34.800 --> 00:40:38.280 of sustainability that these companies that put in So like a lot of my big 524 00:40:38.760 --> 00:40:44.440 multinational companies, they all have a vice president or a senior vice president of 525 00:40:44.480 --> 00:40:50.679 sustainability that's looking at everything that their organization is doing from a sustainability perspective. 526 00:40:50.719 --> 00:40:53.440 And that comes back to obviously with data, we're data on everything with master 527 00:40:53.559 --> 00:40:58.159 data, so they're looking at, well, where am I, how am 528 00:40:58.199 --> 00:41:02.440 I sustainable as an organization? How how are my product sustainable? You know, 529 00:41:02.440 --> 00:41:07.039 they're kind of looking at a lot of different aspects in terms of sustainability 530 00:41:07.039 --> 00:41:14.360 within their organizations and compliance and differentiation in the marketplace relat their product sets. 531 00:41:14.559 --> 00:41:15.960 Mm hmm. Yeah, that's good stuff. And you know, we've got 532 00:41:15.960 --> 00:41:21.280 about three minutes left in this segment. As I'm thinking about these foundational models 533 00:41:21.320 --> 00:41:25.599 which you can now use to understand your products and what composes them and what 534 00:41:25.679 --> 00:41:29.440 alternatives you have. You know what, Also, these models are going to 535 00:41:29.440 --> 00:41:34.679 be really good for understanding regulations. So you train the model on the regulation 536 00:41:34.840 --> 00:41:37.039 and then guess what, your users can just ask questions. And this to 537 00:41:37.079 --> 00:41:42.079 me is one of the best use cases for these new tools. Even though 538 00:41:42.079 --> 00:41:43.960 you have to check it, Yes, you have to check it, but 539 00:41:44.000 --> 00:41:46.280 guess what, even if you ask the high powered lawyer, you'd still have 540 00:41:46.360 --> 00:41:50.920 to check it. They're not always right either, So we shouldn't hold ourselves 541 00:41:50.920 --> 00:41:53.960 to one hundred percent accuracy level, but you know, somewhere in the nineties, 542 00:41:54.000 --> 00:41:58.280 I think, but that's incredibly useful. Bads. I'll throw it over 543 00:41:58.320 --> 00:42:00.800 to you for the end user to say, oh, okay, how does 544 00:42:00.840 --> 00:42:02.760 this regulation affect me with these different products? What do I need to do? 545 00:42:04.000 --> 00:42:07.840 Enter? And it comes and gives you a bunch of information that is 546 00:42:07.960 --> 00:42:12.599 so much easier than trying to read this complex legal ease and regulations, and 547 00:42:12.639 --> 00:42:15.599 people are scratching their has what the heck does this mean? That's a big 548 00:42:15.599 --> 00:42:19.519 deal, right, beurs, that's a huge deal. And the foundational model 549 00:42:20.000 --> 00:42:27.360 focused on sustainability actually has read the top sustainable standards out there, so in 550 00:42:27.440 --> 00:42:32.599 their nation's STDs, the GRI standards out there, Task Force to Climate Disclosures, 551 00:42:32.840 --> 00:42:37.400 it's thread down CP. So it's also already read all there and then 552 00:42:37.079 --> 00:42:42.400 brought that so it's in context of the material you're looking at in the industry 553 00:42:42.480 --> 00:42:45.760 you're in, so you're know how to spend time and energy learning and reading 554 00:42:45.800 --> 00:42:50.639 a whole lot of PDFs that there and then applies it to the report. 555 00:42:50.800 --> 00:42:53.920 So when you're producing a report, it says, okay, which standard now 556 00:42:53.960 --> 00:42:59.480 applies to that report, so it aids compliance and so the order to and 557 00:42:59.519 --> 00:43:04.039 the order to can be improved. So it's actually spot on that one of 558 00:43:04.079 --> 00:43:08.880 the key components within this foundational model is the learning of those standards. And 559 00:43:08.920 --> 00:43:15.000 the problem with these standards is that there's interdependencies with them, right, and 560 00:43:15.039 --> 00:43:19.440 they're continuously changing, right, and so to keep up to speed on them 561 00:43:19.519 --> 00:43:24.920 and also understand all the dependencies between the United Nations SDGs and the GRI reporting 562 00:43:24.960 --> 00:43:29.920 standards, is a matrix you have to follow and how do you sort of 563 00:43:29.920 --> 00:43:34.239 manually do that is labor intensive and a spreadsheet. Well, now you've got 564 00:43:34.239 --> 00:43:37.960 a matrix already built for you, and is the updates is going to provide 565 00:43:37.960 --> 00:43:42.199 that information to you. Yeah, And I think there's also a lot of 566 00:43:42.239 --> 00:43:45.760 work being done right now around reasoning. So if you look at the foundational 567 00:43:45.760 --> 00:43:51.199 models large language models, they're really just text generators that are predictive engines, 568 00:43:52.280 --> 00:43:55.800 predicting which text they think you are going to want based upon their training and 569 00:43:55.840 --> 00:44:00.880 your prompts. And that's all finding good. I see people throwing complex math 570 00:44:00.960 --> 00:44:04.960 problems at them and word problems and then going aha, look I couldn't figure 571 00:44:04.960 --> 00:44:07.559 it. Out. I'm like, well, you're kind of misusing the tool 572 00:44:07.679 --> 00:44:09.960 in that sense, so you do have to understand when to use these things 573 00:44:10.000 --> 00:44:14.000 and when not to use them. But I will say there is work being 574 00:44:14.039 --> 00:44:15.920 done on that reasoning side of the equation, and they could just layer that 575 00:44:15.960 --> 00:44:19.760 stuff in. Well. Podcast bonus segment is coming up next, folks. 576 00:44:19.800 --> 00:44:25.000 Stand by you're listening to Inside Analysis. All right, folks, time for 577 00:44:25.039 --> 00:44:30.360 the podcast bonus segment. Here on a fantastic show about practical sustainability. What 578 00:44:30.440 --> 00:44:32.400 are things you could do that'll help your business, that'll help your clients, 579 00:44:32.559 --> 00:44:36.960 that'll help the environment. We want to kill multiple birds with every stone. 580 00:44:37.320 --> 00:44:39.360 Maybe that's not the best metaphor since we're talking about helping the environment, but 581 00:44:39.559 --> 00:44:43.480 you know, birds are people too to a certain extent. I love birds. 582 00:44:43.480 --> 00:44:45.880 By the way, we have like six seven eight different kind of birds 583 00:44:45.880 --> 00:44:47.440 of chirp around our house every day. I've got the app Merlin you can 584 00:44:47.480 --> 00:44:52.840 like listen and see which birds are chirping. These are wonderful times for people 585 00:44:52.840 --> 00:44:55.880 who love information. But as I'd like you to focus the last few minutes 586 00:44:55.920 --> 00:45:00.519 here on the collaboration between Sustained three sixty and via Medici, which I guess 587 00:45:00.559 --> 00:45:04.519 is around these uh, these digital passports. Can you talk about that? 588 00:45:05.360 --> 00:45:07.559 Absolutely? Yeah. So you know, one of the things which you know, 589 00:45:07.960 --> 00:45:12.079 you know, we need is data and we need good quality data. 590 00:45:12.119 --> 00:45:19.280 And what Vaccine provides us is that it connects to e ERP systems which has 591 00:45:19.320 --> 00:45:23.880 all this data. So it's SAP or or whatever. Decades and decades of 592 00:45:24.159 --> 00:45:29.320 data sets are in them. And so if we can get master data, 593 00:45:29.400 --> 00:45:36.480 market connections and also product information management from eatin, we don't have to go 594 00:45:36.760 --> 00:45:43.800 directly to those rps. So it's kind of a bridge to get and so 595 00:45:43.960 --> 00:45:46.639 that's what as you know, solution provides us. But once we've got there, 596 00:45:47.920 --> 00:45:51.840 what we then do is think about is an is an engine sitting right 597 00:45:51.920 --> 00:45:57.400 next to your our e r P through a broker from AMT, which effectively 598 00:45:58.000 --> 00:46:04.960 allows us to generate environmental views of environmental lens to those products. And so 599 00:46:05.119 --> 00:46:09.679 when we send that back and once we've sent it back to keep him as 600 00:46:12.559 --> 00:46:17.679 our's product line, we then provide a digital fingerprint. So we basically provide 601 00:46:19.119 --> 00:46:24.039 the ability to put a blockchain in there and so you know exactly the date, 602 00:46:24.239 --> 00:46:29.559 the time, and the data we use to calculate the sustainable metrics. 603 00:46:30.079 --> 00:46:32.280 Oh wow, yeah, that's I mean, you know, Ali throw it 604 00:46:32.320 --> 00:46:35.840 over to you. One of the funnier quotes I've heard on the show over 605 00:46:35.880 --> 00:46:37.840 the years. Someone said, yeah, and it We always think one more 606 00:46:37.920 --> 00:46:42.280 layer of abstraction will solve all our problems, but a lot of times it 607 00:46:42.360 --> 00:46:45.440 does, right. And so you've got this layer of abstraction where it's kind 608 00:46:45.480 --> 00:46:50.039 of like with data breaks in their delta lake right where you're tracking changes within 609 00:46:50.159 --> 00:46:52.719 this layer, and that way you can roll back to a point in time 610 00:46:52.800 --> 00:46:55.360 and understand what was happening. Pretty cool stuff. I mean before when you 611 00:46:55.440 --> 00:46:59.239 couldn't do that, not so good. Now you can do that stuff. 612 00:46:59.280 --> 00:47:01.599 It sounds similar to what Beaz is talking about. Can you go into some 613 00:47:01.679 --> 00:47:06.159 detail on how that works. No, it's actually really good and it's actually 614 00:47:06.199 --> 00:47:08.599 where things are going. So if you look at and I mentioned the Digital 615 00:47:08.639 --> 00:47:13.599 Product Passport kind of standard that's been put out there by the European Commission, 616 00:47:13.599 --> 00:47:16.960 they're looking at the full life cycle of products essentially, so you have everything 617 00:47:17.039 --> 00:47:21.719 that went into that product, that's bill of material when it was actually produced 618 00:47:21.760 --> 00:47:24.480 and made available. And one of the things that they've been talking about is 619 00:47:24.559 --> 00:47:29.440 using RFID to actually do this, which actually is just a step that's not 620 00:47:29.599 --> 00:47:32.400 necessary. So what you can actually do is you can pick a QR code 621 00:47:32.440 --> 00:47:37.920 into token and actually have the full blow of material maintained is to what goes 622 00:47:37.960 --> 00:47:42.440 into the making of that product upon its release, and then you can pick 623 00:47:42.519 --> 00:47:46.880 that up off the QR code and you have full information about that product and 624 00:47:46.960 --> 00:47:54.440 then replacement and reusability all built into the solution. So we're really seeing the 625 00:47:54.559 --> 00:48:00.920 collaboration and the fulfillment to digital product passport is something that is very beneficial in 626 00:48:00.000 --> 00:48:06.119 our building supply. Customers are very much behind this. They're actually giddy about, 627 00:48:06.280 --> 00:48:09.480 you know, what we're doing in this space because of its you know, 628 00:48:10.679 --> 00:48:15.920 it's usability as much as anything. It's like the whole audit trail and 629 00:48:15.639 --> 00:48:22.000 what are some of our customers are looking at in different industries more CpG and 630 00:48:22.159 --> 00:48:27.840 fashion and this type of thing is the ability to actually have this validation for 631 00:48:30.519 --> 00:48:34.159 their consumer. Because one of the things we didn't get into is v meditry 632 00:48:34.199 --> 00:48:38.000 also does We did not only do MBM, but we do product information management. 633 00:48:38.119 --> 00:48:45.239 So we're actually taking information and we're making that information available down into either 634 00:48:45.920 --> 00:48:50.159 a retail environment or e commerce application or a marketplace or whatever. So a 635 00:48:50.199 --> 00:48:53.519 consumer can look at product data and what's going on, and sometimes that's B 636 00:48:53.639 --> 00:48:58.440 to B and sometimes that's B two C. But if you have all that 637 00:48:58.559 --> 00:49:01.199 information, it's maintained, scan your QR code, you can see, Okay, 638 00:49:01.280 --> 00:49:06.039 this is what's within the product set, and then you have a full 639 00:49:06.119 --> 00:49:10.239 detail and a validation throughout the third party that this is what made up this 640 00:49:10.400 --> 00:49:15.599 product. Essentially. Yeah, the B to B to say on the so 641 00:49:15.679 --> 00:49:20.280 when you as a consualistic experience, so I was saying, is you're on 642 00:49:20.280 --> 00:49:27.320 an e commerce site fuel by their epin product which has now got embedded sustainable 643 00:49:27.400 --> 00:49:32.480 information. That QR code has a blockchain associated with it, so it's a 644 00:49:32.559 --> 00:49:37.119 secure QR code as I call alumnia. And so as soon as you scan 645 00:49:37.679 --> 00:49:44.119 the chain of customer, chain of evidence on that sustainability information is guaranteed. 646 00:49:44.440 --> 00:49:49.119 So you're the customer, got trust with the consumer that this has got the 647 00:49:49.239 --> 00:49:54.440 right level of integrity and evidence behind it. Yeah, and I'm just guessing 648 00:49:54.519 --> 00:50:00.599 here that the ideal endpoint is the QR code on the product where the consumer 649 00:50:00.679 --> 00:50:04.719 can just scan it with their phone and see all this information. Is that 650 00:50:04.920 --> 00:50:07.360 is that already there or that's the vision of where it's going. No, 651 00:50:07.519 --> 00:50:14.719 we built That's cool. That's just amazing because now again a consumer can get 652 00:50:14.760 --> 00:50:17.519 access to information, very detailed information. I mean, I'm old enough to 653 00:50:17.559 --> 00:50:22.119 remember when they started putting all the the details on the cereal boxes. It's 654 00:50:22.159 --> 00:50:25.880 got riboflavid and vitamin D, invitamin B twelve and like all this stuff. 655 00:50:27.039 --> 00:50:30.199 That was just an estimate, I mean obviously, But you can go so 656 00:50:30.360 --> 00:50:34.599 much deeper now and it can be dynamic, meaning something changes on the back 657 00:50:34.719 --> 00:50:37.800 end. Something will change when I scan this code and take a look at 658 00:50:37.840 --> 00:50:39.519 it. And like I say, when you know better, you do better. 659 00:50:39.639 --> 00:50:43.880 So people want to do good things, People want to do things that 660 00:50:43.960 --> 00:50:46.159 are good for the environment, and you folks are enabling them to do that, 661 00:50:46.320 --> 00:50:50.519 which I think is just absolutely fantastic. Well, folks, look these 662 00:50:50.599 --> 00:50:52.920 gentlemen up online. We've been talking to Baz Kouti, that's b a z 663 00:50:53.480 --> 00:51:00.639 k h u Ti from sustain three sixty and al Bismeyer al I could expect 664 00:51:00.840 --> 00:51:06.079 American League. Bissmeye R looked them up on LinkedIn, another great resource for 665 00:51:06.199 --> 00:51:09.119 information about people and companies and good things. Happening in the world. And 666 00:51:09.480 --> 00:51:12.840 wow, what a great show today. Thanks to both of you telemen for 667 00:51:12.880 --> 00:51:15.880 all your hard work and for improving the beautiful environment around us. This does 668 00:51:15.960 --> 00:51:17.800 include our show. Send me an email if you want to be on this 669 00:51:19.079 --> 00:51:22.440 on this radio show sometime. Info at Inside analysis dot com. We'll talk 670 00:51:22.440 --> 00:51:25.480 to you next time. Folks. 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The complete website is to Hebota club dot com or call us 695 00:53:20.480 --> 00:53:24.280 at eight one eight six one zero eight zero eight eight Monday through Saturday nine 696 00:53:24.320 --> 00:53:29.800 am to five pm California time. That's eight one eight six one zero eight 697 00:53:29.960 --> 00:53:36.039 zero eight eight to hebot club dot Com. With sixty years of fascinating facts. 698 00:53:36.440 --> 00:53:40.760 This is the man from yesterday and back in time. We go to 699 00:53:40.880 --> 00:53:45.760 this time. In nineteen sixty nine, Senator Edward Kennedy pleads guilty for leaving 700 00:53:45.840 --> 00:53:51.840 the scene of a fatal auto accident which killed Secretary Mary Joke Pacney. Ted 701 00:53:51.920 --> 00:53:55.599 Kennedy is given a two month suspended sentence and is placed on probation. This 702 00:53:55.760 --> 00:53:59.800 morning, I entered a plea of guilty to the charge of leaving the scene 703 00:53:59.800 --> 00:54:02.159 of an accident. Prior to my appearance in court, it would have been 704 00:54:02.960 --> 00:54:07.599 proper for me to comment on these matters and from this time. In nineteen 705 00:54:07.679 --> 00:54:13.639 seventy six, the FCC expands citizens banned radio to forty channels from its present 706 00:54:13.920 --> 00:54:19.000 twenty three. Currently here in nineteen seventy six, there are twenty million CBE 707 00:54:19.159 --> 00:54:23.360 radios in use. Radio Shack has the hottest thing on wheels today, realistic 708 00:54:23.440 --> 00:54:29.480 two way CB radio. We introduced our realistic CB line way back in nineteen 709 00:54:29.559 --> 00:54:34.320 sixty and today we have sixteen low priced mobile and walkie talkie models to choose 710 00:54:34.360 --> 00:54:38.719 from and from this time. In nineteen ninety seven, Wilworth's announces it's going 711 00:54:38.760 --> 00:54:43.960 to close its four hundred Stewart chain, bringing an end to an era. 712 00:54:44.239 --> 00:54:49.559 Over nine thousand will lose their jobs. The store has been around since eighteen 713 00:54:49.760 --> 00:54:54.599 seventy nine. It's Woolworths Stereo Spectacular seventy one, a fantastic once a year's 714 00:54:54.599 --> 00:55:00.039 sale of albums, LPs, tapes, everything in stereo, unbelievably price with 715 00:55:00.400 --> 00:55:08.519 more at man from Yesterday dot Com. This segment sponsored by our friends at 716 00:55:08.559 --> 00:55:14.199 the All News. Sammy's Restaurant Sammy's is now open in Kalamesa at Exit eighty 717 00:55:14.239 --> 00:55:15.960 eight off the ten Freeway, next to the Jack in the Box in the 718 00:55:16.079 --> 00:55:20.559 former Bob's Big Boy Restaurant. Not to name drop, but Sammy's in the 719 00:55:20.599 --> 00:55:23.760 former Bob's is a lot like Norms. It has an extensive menu with multiple 720 00:55:23.800 --> 00:55:29.280 restaurants in rialto in places like Upland and Ranchukumonga. Samm's is a great place 721 00:55:29.360 --> 00:55:32.400 to dine. Their menu is very similar with their American trio of delicious steak, 722 00:55:32.480 --> 00:55:36.960 shrimp and chicken and an expansive menu. You won't go hungry and you 723 00:55:37.039 --> 00:55:39.639 won't go broke. At Sammy's you can come meet Sammy and his family. 724 00:55:39.840 --> 00:55:44.119 Sammy was a chief cook for Norms for years and it shows in his menu. 725 00:55:44.280 --> 00:55:46.159 Sammy's is a great place to meet the family, friends or have a 726 00:55:46.199 --> 00:55:51.519 community meeting. You can ask about their private meeting room, available for parties 727 00:55:51.559 --> 00:55:53.679 of fifteen or more on a first come, first serve basis. Sammy's is 728 00:55:53.760 --> 00:55:58.320 now open from six am to nine pm every day at five point forty Sandal 729 00:55:58.360 --> 00:56:01.360 would drive off of Exit eighty eight at the ten Freeway in Kalamesa. Looked 730 00:56:01.400 --> 00:56:05.920 for the Big Boy statue. It's still there. We thanks Sammy for returning 731 00:56:06.000 --> 00:56:08.880 to this station as a loyal sponsor. You can find more info about Sammy's 732 00:56:08.920 --> 00:56:14.119 at Sammy'scafe dot Net. At Sammy'scafe dot net well, you can also find 733 00:56:14.159 --> 00:56:16.760 discount coupons to save money. And by the way, Sammy's has free Wi 734 00:56:16.840 --> 00:56:22.320 Fi too. Sammy's and Kalamesa raylto but one of their other locations are ready 735 00:56:22.360 --> 00:56:30.679 to serve you. Sammy's is now open in Kalamesa. The Village Mud wants 736 00:56:30.719 --> 00:56:35.760 to remind pet owners of the importance of spang and neutering. Shelters overflow with 737 00:56:35.840 --> 00:56:38.599 unwanted pets. Spang and neutering helps prevent this and has many health benefits. 738 00:56:38.639 --> 00:56:43.840 To that message. Courtesy of the Village Mudd at sixty sixty five East Foothill 739 00:56:43.840 --> 00:56:46.880 Boulevard and Claremont for self serve pedwa washtubs and high end food and treats for 740 00:56:47.000 --> 00:56:52.519 dogs and cats featuring natural and rock called the Village Mud nine oh nine six 741 00:56:52.639 --> 00:57:00.960 two four three zero two zero and like them on Facebook. Hey y'all, 742 00:57:00.320 --> 00:57:05.480 merle here good news for once, my neighbors is jealous of me. You 743 00:57:05.599 --> 00:57:08.360 want to know why, because my grass is growing and looking green, and 744 00:57:08.480 --> 00:57:12.719 I can sell my sofa out in the front yard and I don't even have 745 00:57:12.840 --> 00:57:15.360 to overwater it anymore. You know how I did it. I listened to 746 00:57:15.519 --> 00:57:21.800 damn water Boys under Waters on every Thursday night on KCIA. Well, I 747 00:57:21.880 --> 00:57:25.719 got me a smart controller and now at Water's at night yard looks darn tooting. 748 00:57:27.159 --> 00:57:30.559 No more sneaking around and hooking up my horse to my neighbors spigott in 749 00:57:30.639 --> 00:57:32.760 the middle of the night and his dog won't bite me anymore. And you 750 00:57:32.880 --> 00:57:37.719 can do it too. Listening is easier than ever. KCIA is now screaming 751 00:57:37.920 --> 00:57:45.679 online. It's streaming. What it's streaming? You don't, well, I 752 00:57:45.719 --> 00:57:50.159 don't know much about streaming, but they doing it apparently at KCA radio dot 753 00:57:50.239 --> 00:57:53.360 com. So AnyWho listen to the water zone and fix your yacht up right 754 00:57:53.800 --> 00:58:01.400 right here at KCIA, the station that leaves no listener behind NBC News Radio. 755 00:58:01.480 --> 00:58:06.159 I'm Chris Garagio. House Minority Leader Hakim Jeffries is taking part in a 756 00:58:06.239 --> 00:58:10.039 virtual conference call today to discuss President Biden's twenty twenty four candidacy. Five House 757 00:58:10.119 --> 00:58:14.559 Democrats have publicly called on Biden to drop out of the race following his shaky 758 00:58:14.599 --> 00:58:19.199 debate performance. Virginia Senator Mark Warner is said to be organizing a similar effort 759 00:58:19.239 --> 00:58:22.840 in the US Senate. Both President Biden and former President Trump should take cognitive 760 00:58:22.880 --> 00:58:28.360 tests. That's what California Democrat Adam Schiff told NBC's Meet the Press. They 761 00:58:28.519 --> 00:58:32.679 both should be willing to take a test. I think, frankly a test 762 00:58:32.719 --> 00:58:38.519 would show Donald Trump as serious illness of one kind or another. Some are 763 00:58:38.599 --> 00:58:43.639 concerned over whether Biden can defeat Trump and serve another four years in office due 764 00:58:43.679 --> 00:58:46.960 to his age. Ramon, Senator Bernie Sanders says voters should focus on the 765 00:58:47.079 --> 00:58:52.079 candidate with the best policies instead of their age. What we have got the 766 00:58:52.199 --> 00:58:59.880 focus on is policy whose policies have and will benefit the vast majority of the 767 00:59:00.079 --> 00:59:04.559 people in this country. Appearing on CBS's Faced the Nation, Sanders did concede 768 00:59:04.559 --> 00:59:07.920 that Biden's age is a factor in the election, but emphasized that he's the 769 00:59:08.000 --> 00:59:14.760 candidate talking about expanding Medicare and other priorities that Americans support. Tropical Storm Burl 770 00:59:14.840 --> 00:59:17.800 is getting stronger as it nears the Texas Gulf Coast. Hurricane warnings are posted 771 00:59:17.840 --> 00:59:22.800 along much of the Texas coast, with Burle expected to make landfall overnight. 772 00:59:22.199 --> 00:59:27.880 The National Hurricane Center as warning coastal residents of life threatening storm surge along with 773 00:59:28.039 --> 00:59:32.840 significant flooding. John Landau, the producer and COO of legendary director James Cameron's 774 00:59:32.920 --> 00:59:37.599 Light Storm Entertainment, has died at the age of sixty three. Landau was 775 00:59:37.920 --> 00:59:43.159 known for producing such iconic films as Titanic and Avatar. Cameron remembered his longtime 776 00:59:43.239 --> 00:59:46.519 friend and collaborators, saying his legacy is not just the films he produced, 777 00:59:46.800 --> 00:59:52.360 but the personal example he set. Landau died Friday in la after a month's 778 00:59:52.400 --> 00:59:59.880 long battle with cancer. I'm Chris Karagio, NBC News Radio, NBC News 779 01:00:00.119 --> 01:00:05.599 on CACAA Lomel, sponsored by Teamsters Local nineteen thirty two. Protecting the Future 780 01:00:05.639 --> 01:00:07.920 of Working Families Teamsters nineteen thirty two. Dot Org