Transcript 0:00 [upbeat music] Welcome back to The Peggy Smedley Show, the podcasting voice of IoT and digital transformation. 0:18 Hello, listeners, and welcome to The Peggy Smedley Show. As a monthly regular on the show, my final guest needs no introduction, but today he's joining us from Norway, so, uh, it's exciting. 0:30 His research and, uh, teaching interests focus on creating new, uh, technologies for land, sea, and air robots and intelligent user interfaces. He joins us this month to talk about data and data centers and security. 0:43 Please welcome our regular Josh Peschel, Assistant Professor of Agriculture and Biosystems Engineering from Iowa State University. Josh, welcome all the way from Norway. How you doing? Hey, Peggy. 0:57 It's good to be with you. I hope you can hear me okay. Yeah, we hear you great. You're coming in loud and clear, as they say. So Josh, I- I'm e- excited that you're joining us today. 1:07 We're, uh, talking about data centers, and I think with the rise of all this data and data centers, and we've had some great discussions today, I guess I would love to get your thoughts on, you know, how we addressing security, you know, when we think about all this. 1:21 What do you think? Well, that's a great question to open with, and, and that's actually why I'm in Norway here talking about, uh, agricultural data and its related security. 1:32 Um, so when we start talking about the rise of, of data, and particularly the area where I work in agricultural data, these data centers, security, the first thing that we really need to wrap our minds around is that agricultural data is big. 1:46 And by that I don't mean popular. I mean, we have a lot of it. 1:50 So a lot of the companies are really at this time doing a lot of in-house activities, so the data's gonna go live with the companies that the, the clients are contracting with, or these companies have these in-house partnerships with, let's say, Amazon Web Services, Google, and certainly they have protocols in place. 2:07 And so the big thing to remember here is that with agriculture data, agricultural data, the, the really the new normal is gonna be the services that are sold in the cloud and the answers that the people are looking for, but it is incumbent upon the people who are, are, are the keepers of the data to make sure that it is secure. 2:30 And I think it's less so something that, uh, the individual user has to deal with, uh, but it... the burden is greatly on these data centers. 2:38 And so those services you pay for, uh, they need to be backed up with a gold standard, and I would say it is just as important, uh, as those who are working in the energy or the water or other infrastructure space that, that, that that be done. 2:52 So encapsulation and encryption are, are gonna be key in all of this. I was talking about in the first segment that there's gonna be as much as six hundred, you know, data centers out there. 3:03 You know, we talk about the big ones, you know, Amazon, Google, you know, all these others that are out there. 3:08 But, you know, when you look at about all of this, are there any new considerations then when you think about this for security with growth when we talk about AI or all this other emerging technologies? 3:20 'Cause you just talked about there's so much data, and looking at what's the right data gets to be tricky because y- you have all these partnerships. Is there a lot of considerations then with all of that? 3:32 Well, I think there's two points of concern when we start looking at the, the transmissions of, of these, th-th-these data, and the data have to come from somewhere. 3:40 And just as if we're, if we were looking at energy grids or water systems and we're looking at, let's say, video data that's coming from, uh, an agricultural system, uh, and it doesn't matter if it's, uh, wheat or cattle, uh, having those points of 3:56 a-a-a acquisition be secure, that somebody wouldn't be able to, let's say, drop a virus on there or m- or modify that data in some way to make it look anomalous, to really throw a wrench in the sense-making part that's occurring in the cloud back at the data center. 4:10 I mean, I think that's gonna be a key point of consideration. So we have a whole new level of biosecurity and agricultural security that we're gonna need to talk about. 4:18 We often talk about protecting the animals against, uh, African swine flu and all of these things 4:24 and viruses, but we have different kinds of viruses that we need to start talking about when we start talking about the acquisition nodes from these data, 'cause if putting corrupt data in the cloud centers, that's only gonna lead to problems. 4:34 And I think the other thing to think about is if we're gonna be looking at a lot of rich visual data, uh, getting, getting our heads around, uh, before we get, get into it, the deepfakes, being able to modify this data in a way after the fact, uh, to demonstrate that maybe something wasn't there that was there, uh, to cause some problems in a model to give an output that's not really desirable, I think that's the other pressure point, the other pain point to deal with. 5:01 So making sure we have good things coming in, making sure we have good things coming out that are, they're gonna be making sense, and I think that's where the, the security and the growth for artificial intelligence are gonna occur with th-these emerging technologies. 5:13 So does it then, uh, lead us to then with when we talk about... we're all talking about the Internet of things. 5:18 Does it now then push us towards needing more regulations or i- in sustainability or in other areas that we have to think about? 5:26 Because if you don't have that, that's when, you know, you're just talking about the bad guys or whoever can cause some havoc that maybe can be irreversible. Well, that's, that's an excellent point. 5:39 And, and oftentimes we don't find these things, these vulnerabilities until, uh, the, it's already happened, right? The horse is out of the barn, so to speak, to, to stay in the, uh, agricultural vernacular there. 5:51 I, I think that, uh, being able to understand the, uh, the IoT, 5:59 uh, data structures and the data types, because we're dealing with a lot of heterogeneity of data and, uh, making sure that that's all consistent because that all gets made sense of in the model. 6:10 So I think in terms ofYou know, I'm not exactly a, a big pro-regulation person, but I think that, uh, having some standards in place so that we can all get on the same page, that as we work towards data that are more interoperable among systems, uh, I think that's, that's gonna be a big key. 6:28 We've seen right now ag is, is suffering a little bit. Lot of things going on here. 6:33 Um, do you think when we look at these things and we look at what's going on, the agriculture industry right now is feeling a little bit of pain. 6:41 Do you think when we look at things like this that knowing and using data centers properly, looking at how they can interpret the information, having the right partners is going to be critical when we look at IoT, AI to be able to leverage the right information to, to get the best yield that they need to be able to inter- you know, use it for whatever they're doing, whether it's their animals, whatever they're monitoring, whatever that information is, weather, you, you name it. 7:09 You kn- you know this better than I, but is that gonna be critical going forward? Well, I think this is something that we're gonna see the market start to transform itself into. 7:18 There are certainly little boutique areas, uh, boutique companies that focus on, on, uh, a, a particular type of data set or a particular type of sense that could be made of some agricultural phenomenon, yield or something that people care about. 7:32 But you have large companies, whether they be Cargill or Deere or Monsanto, who are making, uh, substantial investments into the research and the development to be able to provide a value-added product to address all those things that you're saying. 7:46 So you may have a large company that buys up one of those boutique niche companies, and I think you're gonna start to see a convergence to be able to address the complete infrastructure of, of exactly what you're talking about. 7:57 And if it doesn't exist now, 8:00 I think the market will spin that up because if there's some vulnerability or some other, uh, value add that's gonna come in, that, that is just like with all things, uh, apps and cell phones and, and thermometers and w-what have you. 8:13 That's all starting-- gonna start to converge, and the people who offer the, the, the really big turnkey products, depending on what scale, that's gonna, that's gonna start to converge in there and, and, and represent itself in that way. 8:26 Yeah, I think you make a good point. Well, hey, Josh Peschel, Assistant Professor of Agriculture and Biosystems Engineering at Iowa State University, thank you for joining us from Norway. 8:36 Quickly, what's your URL for our listeners? Absolutely. So my research group is just peschelgroup.org, and if you wanna know more about the exciting things we're doing at Iowa State, it's just abe.iastate.edu. 8:48 Hey, Josh, thank you so much. Have a safe trip there, and we look forward to talking to you again. Thank you. Good to be with you today. All right, listeners, we are out of time. 8:57 Remember, we broadcast live every Tuesday at twelve PM. What I want you to do is check out our website at connectedworld.com or our show website at thepeggySmedleyShow.com. 9:07 But more importantly, what we want you to do is we want you to tweet at us at ConnectedWMag. 9:12 There's a lot of things going on, but really what I want you to do is if you've got time, I want you to come and check out our Technology Days on August twenty-first and twenty-second here in Arlington Heights, Illinois. 9:22 We're right in the suburbs of Chicago. We want you to come. Check out the things we're talking about. We will be talking about data centers. We'll be talking about off-site manufacturing, off-site construction. 9:33 Lot of things that are important to the things we've been talking about today. Really great conversation. We've got great, great speakers. All right. That's all the time we have for today. 9:42 This is The Peggy Smedley Show, the podcasting voice of IoT and digital transformation. 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