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08/06/19 The Drive for Data Centers; Disrupted with Technology; Data Growth in Ag


Welcome back the peggy smedley show off the podcasting voice of o._t. And digital transformation hello and and welcome to the peggy smedley show as the monthly regular on the show. My final guests needs no introduction but today he's joining us from norway so i it's exciting his research and teaching interests focus on creating new technologies for land sea and air robots in intelligent user interfaces. He joins us this month to talk about data and data centers insecurity. Please welcome our regular. Josh special assistant professor of agricultural and biosystems engineering from <unk> iowa state university. Josh welcome all the way from norway how you doing. It's good to be with you. Hope you can hear me okay yeah. Yeah we hear you great. You're coming in loud and clear as they say so josh i. I'm so excited that you're joining us today. We're talking about data centers in i i think with the rise of all this data and data centers and we've had some great discussions today. I guess i'd love to get your thoughts on you know how we addressing security dirty when we think about all of this. What do you think that's a great question open with and that's actually why norway here talking about agricultural data and it's related security <hes> so when we start talking about the rise of data particularly the area i work in agricultural data these data centers security security the first thing that we really need to wrap our minds around is that agricultural data is big and by that i don't mean popular i mean we have a lot ah so a lot of the company is really at this time doing a lot of in-house activities so the data's going to go live with the companies that the clients are contracting with or or these companies out of these in-house partnerships with let's say amazon web services google and certainly they have protocols in place and so the big thing to remember under here is that with agriculture data agricultural data the really the new normal is going to be the services that are sold in the cloud old 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 and i think it's less so something that <hes> the individual user has to deal with but is the burden is greatly on these data centers and so those services you paid for or <hes> they need to be backed up with a gold standard and i would say it is just as important as those who are working in the energy or the water or other infrastructure restructure space that that that be done so encapsulation encryption are going to be key in all of this talking about in the first segment that there's going to be as much much as six hundred you know data centers out there. You know we talk about the big wants. You know amazon google. You know all these others that are out there but you know when you look at all of this. Are there any new considerations than when you think about this for security with growth when we talk about or all this other emerging technologies jeez you just talked about there's so much data and looking at what's the right data gets to be tricky because you you have all these partnerships is there are a lot of considerations than with follow that i think there's two points of concern when we start looking at the transmissions of of these the these data and the data have to come from somewhere and just as if with if we were looking at energy grids or water systems we're looking at let's say video data that's coming from an agricultural system and it doesn't matter if it's wheat or cattle <hes> having those points of a. acquisition b. secure that somebody wouldn't be able to let's say draw robert virus on there or or modified 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. I think that's going to be a key point consideration so we have a whole new level biosecurity and agricultural security that we're gonna need to talk about. We often talk about protecting the the animals against <hes> african swine flu and all of these things viruses but we have different kinds of viruses that we need to start talking about. We start talking about the acquisition nodes for these data because it putting corrupt data in the cloud centers that's only gonna lead to problems and i think the other thing to think about is if we're going to be looking at a lot of rich visual data <hes> getting getting our heads around before we get into the deep fakes being able to modify this data in a way after the fact <hes> <hes> to demonstrate that maybe something wasn't there that was there 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 the pain point to deal with so making sure we have good things coming in making sure we have good things coming out. They're gonna be making sense and i think that's where the the security and the growth for official intelligence are going to occur with these emerging technologies so does it then lead us to then with when we talk about we're all talking about the internet of things does it now then push us towards words needing more regulations or in sustainability or in other areas that we have to think about because if you don't have that that's when you're talking about the bad guys or whoever can cause some havoc that maybe can be irreversible well. That's that's an excellent point and oftentimes oftentimes. We don't find these things vulnerabilities until it's already happened right horses out of the barn so to speak to stay in the agricultural rollback over there. I think that <hes> being able to understand the <hes> the iot data data structures in the data types because we're dealing with a lot of heterogeneity of data and making sure that that's all consistent because that all gets made sense of the model also i think in terms of you know not exactly a big pro regulation person but i think that <hes> having some standards in place so that we can all get on the the same page that as we were towards data that are more interoperable among systems. I think that's that's gonna be a big key. We've seen right now. Aga's aga's is suffering a little bit a lot of things going on here. <hes> do you think when we look at these things and we look at what's going on. The agriculture industry right now is feeling doing a little bit of pain. 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. I is going to be critical when we look at iot a._i. To be able to leverage the right information to to get the best yield that they need to be able to who in turn you know use it for whatever they're doing whether it's their animal's whatever they're monitoring whatever that information is whether you you name it you. You know this better better than i but is that going to be critical going forward. I think this is something that we're gonna see the markets start to transform itself into there are certainly little boutique areas <hes> boutique companies that focus on on a particular type of data cetera particular type of sense that could be made of some agricultural phenomenon yield yield or something that people care about but you have large companies whether they be cargill or deer or monsanto who were making a substantial sle investments into the research development to be able to provide value added product to address all those things that you're saying so you may have a large company that buys up one of those boutique not niche companies that i think you're gonna see convergence to be able to address the complete infrastructure of of exactly what you're talking about and if it doesn't exist now i think the market will spend that up because if there's some vulnerability or some other value add it's gonna come in that that is just like with all things apps jason cellphones and thermometers and what have you. That's all stunned gonna start to converge and the people who offer the the big turnkey products depending on what scale bill that's gonna. That's gonna start to converge in there and and represented self amount way yeah. I think you make a good point well. Hey josh special assistant professor of agriculture and biosystems engineering iowa state university. Thank you for joining us from norway quickly. What's your you are l. Our listeners absolutely so my research group has just <unk> dot org and if you wanna know more about the exciting things we're doing it. I stayed. It's just a b. e. dot state dot e._d._u. Hey josh thank you so much chevy 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. Remember we broadcast live every tuesday. Stay at twelve pm what i want to check out our website at connected world dot com or our show website at the peggy smugly show dot com but more importantly what we want you to do. Is we want you to tweet at us. It connected w mag there's a lot of things going on but really what i want to do is if you've got time i want you to come and check out our technology days on august twenty first first and twenty second here in arlington heights illinois and the suburbs of chicago. We want you to come check out the things we're talking about. We will be talking about data. Centers will be talking about off-site manufacturing offsite construction lot of things that are important to things. We've been talking about today really great conversation. We got great great speakers all right. That's all the time we have for today. This is the peggy spending show the podcasting voice of iot digital transformation. Remember with technology comes great responsibility happen awesome. 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