>>law from Las Vegas. It's the Q covering a ws re invent 2019. Brought to you by Amazon Web service is and Intel along with its ecosystem partners. >>Welcome back to the Sands. We continue our coverage here on the Cube of Day, one of a W s ram in 2019 show. Bigger and better than ever. Tough to say, because last year was awesome. This year if they think you're gonna have a little bit higher on the knots. Justin Warren, I'm John Walls were joined by Brandon Walsh, who is the s creepy apartment relations at the 1901 group. Good to see you, sir. >>Thank you. Thank you for having me. >>Right now. I can't imagine anything intact dating back to 1901 So I'm trying to think What What was the origination of? Of the company? First off, tell us a little bit about what you do, but what's the name all about? >>Well, real quick for the name are our CEO. So new Singh came up with this idea for automation of I t routine. I t management in 1901 was the year the assembly line was invented, so a gentleman named Ransom E. Olds from the famed Oldsmobile gets credit for that. So so new named the company after that automation breakthrough of an assembly line model. And we have built an assembly line concept what we call an I T factory for a cloud migration factory into our operations center. And that's part of our managed service is offering that we sell, promote, provide to our customers. >>And, of course, you're doing that with the help of a company called Cohee City. Find Data Management Solutions provider. So let's talk a little bit about cohesively as well. And your relationship, how that works and what you're I guess, of deriving are extracted from their service is that you find that great value in that >>absolutely were. Maybe this is a little different for today in the show. We actually are a customer of Cohee City. We consume cohesive. So in our managed service offering portfolio, one of the things that we've been using Holy City four is helping our customers set, create or start up. Disaster recovery or backup service is capability. In 1901 group has been packaging marketing, selling that D R. As a service and that bur back up as a service to our federal state, local customers. >>A longtime fan of the Toyota production system, I am very pleased that you are turning an assembly line concept. You know, I think it's vastly overdue. So it's great to hear you focus a lot on the public sector is my understanding absolutely. Tell me a little bit more about what the public sector is. A very complicated based is a >>complicated is putting it politely. >>So walk us through how you're using cohesive toe help. Public sector organizations transform themselves to use this kind of as a service back up and disaster recovery. >>You hit on a really good point. It's sort of two points. One is the term is I t modernization. So in order to modernize a very large complex, I T Environment Assets Systems Service is multi locations, various data centers, multiple data classifications that that complexity with the cohesive product. What has allowed us to do is to start incrementally by doing a disaster recovery or a backup on premise that gives the agency since a confidence we get to show success and progress and that sort of a win win for everyone involved, where the growth with a future and how those agencies will modernize is once you start getting the data backed up properly, prepped for disaster, recover properly. You can also start migrating data toward Native Cloud. And particularly we've been working with AWS aws govcloud in particular, but also a WC commercial clout. >>I like how you mentioned that building trust part with the agencies to begin with. It's not so much about the technology, but about the human part of the process. Way heard that came out this morning with Andy Jesse talking about how data transfer transformation happens, and it's a lot to do with the humans. It's not all about technology. >>At the the organizational change, management is important as the technology change management and incremental shift toward the cloud and migration toward the cloud allows for both time and and reallocation of resource is both by the agency's contractors supporting the agencies and manage service providers like us, who are really providing more as a service. Models meaning way generally consumed the technology for the client, which is a little bit different of a model from the past, but that is the trend of the future. >>It's not purely incremental, though, because you're not. You have to change the way that you're doing things, to be using it as a service, as this thing from the way that you would have done it is purely on premises type infrastructure. Explain a little bit about how you helped these agencies to change the way they think to be able to use this as a service >>approach. Well, one of the one of the reasons we selected Cohesive E is because of their ability to scale out and their pricing model that allows us to better forecast costs and because we're managed service provider price to the government. So the scale out capability that Callie City provides allows us to buy technology capacity nodes as we need them so we don't have a large capital expenditure up front as orders come in. As agencies purchase as we grow, we can add to that capacity incrementally. That's lower risk for us. Lower risk for the client. So again it's a it's a win win in their pricing model. Their licensing model allows us to work with our agency customers and predict costing and pricing for next year, two years out, three years out, which, in the federal budget cycle appropriations are not appropriated. It is a pretty important thing >>got on a wire in the business. Frankly, it's such a, you know, just pull your hair out. I'm sure they're wonderful. This roast ready to say the least, but way heard a lot about a pretty big major theme, this transformation versus transition and in terms of government users, how do you get them into the transformation mindset when you have those obstacles you just talked about that you have a number of times, cycles and our funding cycles and development cycles. And so regulatory psychic, I mean and you write those concerns whatever they will throws their way, states what they throw their way. I think that would be just looking at it from the outside. Tough to get into a transformer mode when you are almost are constantly transitioning. It seems >>you bring up a good point. A. If I can make a comment about eight of us, AWS has been investing in in what's called Fed Ramp that's a federal accreditation program that insurers that that cloud systems and in the case of AWS have their security controls documented, properly documented to a standard and then enforced, so continuously monitored and reported on the investments AWS have been making. And and that speed of investment has been increasing over the last few years has really helped manage service providers. And I t providers like like 1901 group help the agency's understand how to transition and transform. But it's definitely a step. It's a step across. It's incremental in nature, but I congratulate AWS on that investment of time and resource is for Fed Ramp Way also are federally authorized way. We're going into our fifth year so we were early on and being able to watch A W s grow expand helps us helps our competition, but helps the agencies and helps. In the end, all citizens of the United States. So missions air getting better. Theodore Option is speeding up. I think a ws for that investment >>tell us a little bit more about how these federal agencies are using both AWS and Cohee City to work together because you mentioned that your business is built built on Cohee City. So where does that go? Where's coming >>s so So way started out using Cohee City in on premise environment to support federal civilian agencies. That model has been growing, so that was a single tenant, meaning we had one customer. On a single instance. We've expanded to a multi tenant instance. And now we're expanding into a AWS Cloud native instance, so being able to work with a complex environment, a complex data management environment being able to go from on prim to cloud of being will go from AWS back and forth, being able to manage that seamlessly, ensuring there's encryption of data at rest and in motion. That just makes our job that much easier. >>Now we know that Cohee City is a software data management company. It's not just about backup on D are so cohesive is making some inroads into other secondary data management service is, and some other things they're So what are you looking at to expand into what what a customer is asking you to do for them now that you've already proven yourself with with some of the D. R and back up type ability? Yeah, >>I mean, it really varies. It does very agency to agency smaller, independent agencies really may be looking at a cohesive technology to manage fragmented data. Larger agencies and groups and programs within agencies have different. Different asks different requirements. It's really hard to say a single what is the thing? I would say that the flexibility cohesive he gives us is the ability to go hybrid. So depending on what the customers asking feature wise functionality, wise architecture wise way think that Cally city is very flexible >>and about the public sector market. Then if you if you could put your headlight on that for the next 23 years, he was talked about some cycles of that far out. What do you think it would be? A. I guess shift is the right word. What would be a useful or valuable shift in terms of the public sector in terms of their acceptance or adoption in your world? >>Well, so as applications are lifted and shifted or migrated re factored rewritten into cloud environments, you're gonna we're going to see you're going to see mission applications at the agency level moved to cloud reside in the cloud, so data for performance reasons is gonna have to be right next to that application. So the data management, whether it's for production or test Dev Kohli City's got emerging capability for for Dev Test. I think it's a test of but deaf task. So all these pieces sort of go together as a CZ, you said, going from transitioning to transforming and you start looking to three years out. I do believe the agencies have a lot of momentum. There are some really interesting activities being done in the federal state local realm, around artificial intelligence machine learning. So being able to do the compute storage, the networking and security all within a A W s cloud, it's just going to speed things up and make cost and performance more manageable and transparent. >>Thank you for the time. We appreciate that. We find out earlier that Brendan is a Washington Redskins fan and a D. C. Resident, as am I. And I thought 90 No. One was the last time we had a playoff tape. It was quite that far back, but it certainly seems like it, doesn't it? Hang in there, Thank you very much. Enjoy that. Brenda Walsh joining us from the 1901 group back lot with more live here from AWS reinvent with just a warning. I'm John Walls and you are watching the Cube

>>from our studios in the heart of Silicon Valley. Palo ALTO, California It is a cute conversation. >>Hi, and welcome to the Cube studios for another cube conversation where we go in depth with thought leaders driving innovation across the technology industry. I'm your host, Peter Boris. Digital businesses affecting every enterprise of every size, small and large, and the types of solutions that required the types of outcomes that are being pursued are extremely complex and require an enormous amount of work from some of the best and brightest people on the business side as well as the technology side. And that means not just from a large company. It means from an entire ecosystem of potential sources of genius and insight and good hard work. So the consequence for every enterprises, how do they cobble together that collection of experts and capabilities that are gonna help them transform their business more successfully, Maur completely and more certainly than they would otherwise? And that's we're gonna talk about today. Today we're here with Kelly Ireland, who's the founder and C E o. C. B Technologies. Kelly. Welcome to the >>Cube. Thank you, Peter. Happy to be here, >>so let's start by finding a little bit about CV Technologies to also about what you do. >>Um, I have a IittIe background, so I have been in it for 40 years. In 2001 I decided I had a better idea of how to both support clients as well as my employees. So I opened CB Technologies were value added reseller, um, and then say about five years ago, I decided to do some transforming of the company itself. I saw what was going on in the industry, and I thought this was the time for us to get going. Turned out we were a little early, but we wanted to transform from what you would call it the value added reseller two systems integrator. Because that was the only words what they had for. You know what that end result would be? Now I've heard it's the, um, domain expert integrator, which we like a lot better. And what we've done is gone from this value add, which we've all seen over the last couple of decades, into actually engineering solutions, and mostly with consortiums, which will talk about of the O. T. I t. Convergence and what's going to be needed for that to make our customers successful. >>Well, you just described. In many respects, the vision that businesses have had and how it's changed over years were first. The asset was the hardware. Hence the var. Today, the asset really is the date of the application and how you're going to apply that to change the way your business operates the customer experiences, you provide the profitability that you're able to return back to shareholders. So let's dig into this because that notion of data that notion of digital transformation is especially important in a number of different names, perhaps no more important than in the whole industrial and end of things domain. That intersection of I t know Tia's, you said, Tell us a little bit about what you're experiencing with your customers as they try to think about new ways of applying technology technology rich data to their business challenges. >>We'll use the perfect word you said dig, because this is all about layers. It's all about it was technology and software. Now it's about technology, software and integration. In fact, the conversations were having with our clients. Right now we don't even talk about a no Yim's name. Where before you would. But we haven't our head. What? We know what would be best. What we look at now is the first thing you do is go in and sit down with the client. And not only with the client, the you know, the executives or the C I or the C T. O's et cetera, but the employees themselves. Because what we've seen with I I I o t o t i t Convergence, it's You have to take into account what the worker needs and the people that are addressing it that way. Um, this project that we started with Hewlett Packard Enterprise, they started up what we call the refinery of the future. It could be acts of the future. It doesn't really matter. But it was getting at least up to five use cases with a consortium of partner companies that could go address five different things within the refinery. And the reason that I think it's been so successful is that the owner, the CEO Doug Smith and the VP of ops Linda Salinas, immediately wrap their arms around bringing employees. They're a small company there, maybe 50. They brought half of them to HPD Lab to show them what a smart pump laws for their chemical plant text. More chemical in Galina Park in Texas. Starting from that, it was like they put him on a party bus, took them down, put them in the lab, told them, showed them what a smart pump was and all of a sudden the lights turned on for the workers. These are people that have been, you know, manual valves and turning knobs and, you know, looking at computer screens they'd never seen what a smart, censored pump waas all of it sudden on the drive back to the company, ideas started turning. And then HP took it from there, brought in partners, sat everybody in the room, and we started feathering out. Okay, what's needed. But let's start with what the client needs. What do those different business users within the chemical plant need, and then build use cases from that? So we ended up building five use cases. >>Well, so what? Get another five years cases in a second? But you just described something very interesting, and I think it's something that partners have historically been able to do somewhat uniquely on that is that the customer journey is not taken by just an individual within the business. What really happens is someone has an idea. They find someone, often a partner, that can help them develop that idea. And then they go off and they recruit others within their business and a local partner that has good domain expertise at the time. And energy and customer commitment could be an absolutely essential feature of building the consensus within the organization to really accelerate that customer journey. If I got that right? >>Absolutely, absolutely. And what we saw with Refinery of the Future was getting those partnerships HP East started. It created the project kind of through information out to many of their ecosystem partners trying to gain interest because the thing was is this was kind of our bet was a very educated bet, but it's our bet to say, Yeah, we think this makes sense. So, you know, like I said, I think there's about 14 partners that all joined in both on the I t om side the ot oh am side and then both Deloitte and CB Technologies for the S. I and like expert domain expert integration where you really get into How do you tie OT and I t together? >>All right, so we've got this situation where this is not As you said, It's not just in the refining process, manufacturing businesses. It's in a lot of business. But in this particular one, you guys have actually fashioned what you call the refinery of of the future has got five clear use cases. Just give us an example of what those look like and how you've been RCB technology has been participated in the process of putting those together. >>Um, the 1st 1 was pretty wrapped around Predictive Analytics, and that was led by Deloitte and has a whole host of OT and I t integration on it >>again, not limited to process manufacturing at all >>at all, but and a good group, you know, you have national instruments, Intel flow. Serve. Oh, it's ice off Snyder Electric, PTC riel, where they're such a host >>of the >>consortium and I I think what was most important to start this whole thing was H P E. Came in and said, Here's an MOU. Here's a contract. You all will be contract ID to the overall resorts results. Not just your use case. Not just one or two use cases you're in, but all five because they all can integrate in some sense so >>that all can help. Each of you can help the others think. Problems. Truce. That's the 1st 1 about the 2nd 1 >>The 2nd 1 is video is a sensor that was Intel CB Technologies. I think we have as you're in there as well, doing some of the analytics, some P T. C. And what that was all about was taking video. And, you know, taking a use case from Linda and saying, Where where do you need some sort of video analytics Taking that processing it and what we ended up doing with that one was being able to identify, you know, animals or aggressive animals within the train yard. A downed worker transients that shouldn't be there because we can't decipher between you know, someone that's in text marks p p ease versus somebody that's in street clothes. So taking all that analyzing the information, the pictures, training it to understand when it needs to throw and alert >>lot of data required for that. And that's one of the major major drivers of some of the new storage technologies out there. New fabrics that are out there. How did that play? A role? >>As you can imagine, H p E is the under underlying infrastructure across the entire refinery. The future from compute with the, uh, EJ data center into the Reuben network into nimble storage for storing on site. Um, what we're finding, no matter who we talked to in the industry, it is. Most of them still want to keep it on Prem. In some sense, security. They're still all extremely cautious. So they want to keep it on Prem. So having the nimble storage right in the date, having the edge data center having everything in the middle of this chemical plant was absolutely a necessity. And having all of that set up having my team, which was the C B Tech team that actually did all the integration of setting up the wireless network, because guess what? When you're in a different kind of environment, not inside a building, you're out where there's metal pumps. There's restrictions because ah, flash could cause an explosion so intrinsically safe we had to set up all that and determined how? How could we get the best coverage? Especially? We want that video signal to move quite fast over the WiFi. How do we get all that set up? So it takes the most advantage of, you know, the facility and the capabilities of the Aruban network. >>So that's 12345 quickly were >>three worker safety, which hasn't started yet. We're still waiting for one of the manufacturers to get the certification they need. Um, four we have is connected worker, which is on fire, having a work >>of connected worker on fire and worker >>safety. >>Yeah, they don't sound, but just think of all the data and having the worker have it right at his fingertips. And, oh, by the way, hands free. So they're being ableto to take in all this data and transmit data, whether it's by voice or on screen back >>from a worker central perspective, from one that sustains the context of where the worker is, what stress there under what else? They've got to do it said. >>And and what are they trying to complete and how quickly? And that's where right now we have r A y that's in the 90% which is off the chart. But it's and and what's great about being at Text Mark is we actually can prove this. I can have somebody walk with me, a client that wants to look at it. They can go walk the process with me, and they will immediately see that we reduce the time by 90%. >>So I've given your four. What's the 5th 1? >>Acid intelligence, which is all about three D Point Cloud three D visualization. Actually being able to pull up a smart pump. You know it really? Any pump, you scan the facility you converted into three D and then in the program that we're using, you can actually pull up a pump. You can rotate it 360 degrees. It's got a database behind it that has every single bit of asset information connected videos, cad cams, P and I. D s. For the oil and gas industry. Everything's in their e mails could be attached to it, and then you can also put compliance reports. So there you might need to look a corrosion. One of those tests that they do on a you know, annual or every five year basis. That's point and click. You pull it up and it tells you where it sits, and then it also shows you green, yellow, red. Anything in red is immediate, attest that tension yellow is you need to address it greens. Everything's 100% running. >>So the complexity that we're talking about, the kind of specificity of these solutions, even though they can be generalized. And you know, you talked about analytics all the way out to asset optimization Intel intelligence. There are We can generalize and structure, but there's always going to be, it seems to us there's going to be a degree of specificity that's required, and that means we're not gonna talk about package software that does this kind of stuff. We're talking about sitting down with a customer with a team of experts from a lot of different places and working together and applying that to achieve customer outcome. So I got that right >>absolutely, and what we did with the consortium looking at everything. How they first addressed it was right along that line, and if you look at software development, agile following agile process, it's exactly what we're doing in four I I o T o R O T I t Convergence, because if you don't include all of those people, it's never going to be successful. I heard it a conference the other day that said, POC is goto I ot to die, and it's because a lot of people aren't addressing it the right way. We do something called Innovation Delivery as a service, which is basically a four day, 3 to 4 day boot camp. You get all the right people in, in in the room. You pull in everything from them. You boot out the executive team partway through, and you really get in depth with workers and you have them say what they wouldn't say in front of their bosses that this happened with Doug and Linda and Linda said it was mind blowing. She goes. I didn't realize we had so many problems because she came back in the room and there was a 1,000,000 stickies. And then she said, the more she read it and the more you know, we refined it down, she said it was absolutely delivered, you know, the use case that she would have eventually ended up with, but loved having all the insights from, >>well, work. Too often, tech companies failed to recognize that there's a difference between inventing something and innovation. Inventing is that engineering act of taking what you know about physics or social circumstance Secreting hardware software innovation is a set of social acts that get the customer to adopt it, get a marketplace to adopt it, change their behaviors. And partners historically have been absolutely essential to driving that innovation, to getting customers to actually change the way to do things and embed solutions in their operations. And increasingly, because of that deep knowledge with customers are trying to doing, they're participating. Maurine, the actual invention process, especially on the softer side of you said, >>Yeah, yeah, I think what's really interesting in this, especially with Coyote. When I look back a few years, I look at cloud and you know everything was cloud and everybody ran to it and everybody jumped in with both feet, and then they got burned. And what we're seeing with this whole thing with I o t you would think we're showing these are lies, return on. Investments were showing all this greatness that can come out of it and and they're very slow at sticking their toe in. But what we've found is no one arrives should say the majority of corporations anymore don't want to jump in and say, Let's do it two or five or $10 million project. We see your power point. No, let's let's depart Owen with with what we're doing, it's, you know, a really small amount of money to go in and really direct our attention at exactly what their problem is. It's not off the shelf. It's but it's off the shelf with customization. It's like we've already delivered on connected worker for oil and gas. But now we're are so starting to deliver multiple other industries because they actually walk through text mark. We could do tours, that text mark. That was kind of the trade off. All these partners brought technology and, you know, brought their intelligence and spent. We were now on two years of proving all this out. Well, they said, Fine, open the kimono will let your customers walk through and see it >>makes text mark look like a better suppliers. >>Well, it's enhanced their business greatly. I can tell you they're just starting a new process in another week. And it was all based on people going through, you know, a client that went through and went. Wait >>a minute. I >>really like this. There are also being able to recruit technologists within the use in industry, which you would think text marks 50 employees. It's a small little plant. It's very specialized. It's very small. They pulled one of the top. Uh, sorry. Lost not. I'm trying to think of what the name >>they're. They're a small number of employees, but the process manufacturing typically has huge assets. And any way you look at it, we're talking about major investments, major monies that require deep expertise. And my guess is the text Mark is able to use that to bring an even smarter and better >>people smarter and better. People that are looking at it going they're ahead of the curve, for they're so far ahead of the curve that they want to be on board were that they're bringing in millennials on they're connected. Worker Carlos is there trainload lead. And he dropped an intrinsically safe camera and it broke and he tried to glue it together, tried to super glue it together. And then he ran back to Linda and he said I broke the case and this case is like £10. They call it the Brick. They gotta lug it up. They got to climb up the train car, leg it up, take a picture that they have sealed the valves on all the cars before they leave. Well, he had used the real where had, you know, device. And he went into Linda and he said, I know there's a camera in there. There's camera capabilities. Can I use that until we get another case? And she's like, Yeah, go ahead. Well, he went through, started using that toe like lean over, say, Take photo. We engineered that it could go directly back to the audit file so that everybody knew the minute that picture was taken, it went back into the audio file. This is where we found the process was reduced by 90% of time. But he turned around and trained his entire team. He wasn't asked to, but he thought, this is the greatest thing. He went in trainable. And now, about every two weeks, Carlos walks in to my team that sits a text mark and comes up with another use case for connected worker. It's amazing. It's amazing what you know were developed right out of the customer by using their workers and then, you know, proactively coming to us going. Hey, I got another idea. Let's add this where I think at version 7.0, for connected worker. Because of that feedback because of that live feed back in production. >>Great story, Kelly. So, once again, Callie Ireland is a co founder and CEO of CB Technologies. Thanks for being on the tube. >>Thank you for having me >>on once again. I wanna thank all of you for joining us for another cute conversation. I'm Peter burgers. See you next time.

>>live from Madrid, Spain. It's the Q covering HP Discover Madrid 2017 Brought to you by Hewlett Packard Enterprise >>Welcome back to Madrid, Spain. Everybody, this is cute. The leader in live tech coverage And we have a day to HP discover Madrid. My name is Dave Volonte with my co host for the week Peter Verse. Jeff, Carla is here. He's the senior director of solutions. Go to market system integrators at Hewlett Packard Enterprise and Kalyan Gara Mela. Who is the i o t manager? Deloitte. Yes, Gentlemen, welcome to the Cube. Thanks for coming on, You bad love too deep here. It's always a great time. Yes. So you know, when you come on with Deloitte, we always sort of mentioned you guys. One of the top system integrators in the planet. You got deep expertise and vertical industries. You guys bring the technology expertise. Last time we were talking about manufacturing. This time we're gonna talk about retail. Yes. Why? Retail, You know, retails in turmoil. Everybody's got numbers on war room. But you guys are going after that, helping some of your customers so to take advantage of their physical presence, bringing in an online presence move into digital. Is there hope there's hope, their retail dead? You know, >>I hear all the time about this retail apocalypse retail is dead, and in reality, it's not dead at all. Still, 85 to 90% of purchases were being going through a brick and mortar store problem here, and the apocalypse will happen to those brick and mortar retailers that don't change. They don't digitize and change to the changing demands of a consumer and the way they want purchase something, give you an example, my son or even myself. Now I increasingly want to do things through an experience. My computer, my mobile phone. I do research. I I want to understand. I want recommendations. I want personalization. I want to be catered to. I don't want to go stand in line. Well, that experience can be done but are unique. Ability. Is taking that experience in a planet into a brick and mortar environment? >>Well, I got to say I love going Cabela's with my kid with my wife. I mean, I could spend all day. Hey, get that on Callie and tell us about your you're rolling. The Lloyd, obviously specializing in the retail practice. What, Your background? >>Yes, my name's Kalyan. Gotta Mila being a coyote manager from the >>delight you >>practice based out of San Francisco, and we have been working with our partners and friends. Hitch be Aruba over the past year or so, helping them dollar, I ot go to market projects, products that can be that we can take to market on Dhe. Recently. We're just working with manufacturing and retail industry. >>So what's the conversation >>like with your customers? As I said, everybody's got an Amazon war room they're trying to figure out. Okay, >>how do we leverage our physical presence as an advantage? What were the conversations like with clients with >>our clients? Mostly that talking about How did the mimic our online channels? Right. If I go to an online retailer, you know, if I go open, say amazon dot com, they know exactly what item I am for chasing where I'm going next. What? How much time I'm spending. So in order to differentiate the brick and mortars in order to differentiate themselves from the fellow retailers, they have to offer that customized shopping experience in order to get given a reason for the customers to come in store and make that purchase. So they're trying to look at what new technologies that we can can we can help with. What are some of the new processes that we can help with? And that's where most of our conversations have been going on, >>Really experience. Problem >>it is. And you talk about the bells and I moved into a new house, ready to buy my big >>lazy boy chair and watch Sunday >>football, and I'm not gonna go online just by here. I want to touch and feel that I was late and I want to understand. Well, that is a perfect opportunity of providing an experience. Allows me to do the research, get suggestions, go into a brick and mortar store. Try it out, then guess what? I'm getting personalized. Hey, you know what? There's a nice beer stand that I could put right next to that table. Be calm, perfectly complemented. Hey, there's a light that can look over So we have that ability of actually tying together and experience, actually predicting in advance what the customer really doesn't know they want next. But they really do want example. We just walked out of a client engagement. Beautiful example. Plan Engagement sells high end women's fashions, right dresses and shoes and accessories. Everything. And he's He basically said, We're dabbling around with R F I. D tags, um, inventory management, but we don't know what to do, right? Bingo. We now have a proven, referenced architecture called the Connected Consumer. This is a preview to be announced to be soon, but that can allow, actually that client to integrate and optimized and digitized the solution for a number of different use cases that spans a unique customer experience in store operations and efficiencies, and then providing insights through analytics in store analytics to make decisions quickly. So you've got by using this architecture building of solutions based with Deloitte Competence season capabilities in HPD Aruba technology. We can deliver that to increase top line revenue, increase basket side, decrease inventory costs, lost inventory and provide much greater brand loyalty to those customers by having a nice, personalized teachers. They know me by name. They know what I'm looking for in advance. Beautiful solution. >>So the online retail world did two crucial things. One is provided new way of customer to buy something and number two, it provided a new way for the retailer to learn something about the customer. Very, very powerful. But as you said, we're still last time. I checked physical things that move through space that used physical senses, too. Make decisions, Tactile. Do I like the color? You know the experience. I mean, I remember having arguments with people about whether the Apple stores are ever gonna have any impact in the world. And, boy, did they prove that experience of physically being there matters. So in many respects we're talking about, We're talking about creating spaces, the correspond to the experience that a customer wants in a way that doesn't force them into another channel. >>I think that is excellent. Thank you will hear security and character talks about who these are Aruba team. And they are renowned for taking a space and providing using technology and I, t and software and security to provide a total experience, an immersive experience for those that are occupying that. >>But that's not how retailers used to think. What they used to think was this is the space where I put my inventory where I show my product and then I'll put the catch register over here. What you guys I presume we're trying to do is show how. Show them how they could turn that physical space into a place that can bring in the online digital elements, complimented in a way that makes that door a source of different jack >>experience in the brick and mortar store and allows the comfort of Yeah, you know >>that makes it differentiated so that someone wants to go there, because that is a valuable experience in and of itself. >>And sadly, retailers of the past 40 years have always relied on big brand names to attract customers. If I have the best brands in the world, customers will come to me back. That scenario doesn't hold true anymore. You need to give them a reason. A personalized, curated experience for them to come in >>well, not least of which is the digital technology allows us to spin up new brands like overnight and so also so there's a there's it's having an erosion of effect on the other side of the inventory. So tell us a little bit about where you think over the next few years that differentiated in store experience is gonna be what is going to constitute great retail. >>I'll start enough shit. >>First and foremost, the expectations of millennials and other generations is more of that online experience. So I think I think retailers of the future have to be able to provide that customized experience. To be able to provide predicted people are not waiting in line is not an option in the future, right? I mean, even you. You look a waiting in line is not an option. I think that ability of you have to have more instantaneous gratification but allowing, if you will, the personalization being covered. I think that one expectation for those that want to sustain a business in retail in the future >>and add on to that right. I mean, the marketing managers are the store managers of the past have always relied on opinions rather than data and insights to make this better business stations. Where do I place my product? Where are my customer spending most of my time? It's just guess it's most of it was guessing. Now there is a technology out there where we can actually monitor what's happening inside your retail store and dead. While you can make better business nations to help you with your customer journeys, >>traffic, foot traffic, you know through video analytics and the data someone's hanging around the Nike booth or whatever you know financially, and you can purposely point them and give them suggestions of 20% off. And so you can personalize that experience. >>So wait. See Io client on DDE that's in the retail space on the way he described it is, you gotta break the whole thing down. Let me test you guys. You have a period of I want the experience of shopping on. The example that he gave me was a bike company a number of years ago who used flexible manufacturing to collapse the time high end bike to collapse, a time from order in the bike, getting the bike down to a few days. And they failed because the customer like waiting the process of buying, reducing time. Simple, straightforward, but also what they said. And this is the kind of flexibility we're talking about is some people don't wanna walk out of the store with the product they want to deliver to their home, so the store is again, not the place where the inventory is. It's the place where you experience the product and that they create an option. How would you like that? I like to be delivered to my house. No problem. There you go. Is that the kind of thing that we're talking about in the future? >>Absolutely. We call it the unified commerce of the Arm and channel shopping experience. You want to give the customer all the options available. Like you said, I could buy online shipping in store O. R. I can buy in store get into my house all the different options that a customer is looking for. A non online channel, which is easy and convenient. We want to do that in a brick and mortar as well, and our solution can help you do that as well. So you >>guys encounter a client that is, you know, declining same store sales management is concerned about, You know, the future. It seems like it's a tired sort of experience and, you know, that's sort of the end of the spectrum. And you want, you know, the to be his future. Stefano, the talk about where do you start so >>who brings what experts is. >>Actually, I'm gonna repeat what I said last time. Our mantra is First off, you gotta think big. Then you start small and then you scale fast. And what I mean, that what we mean by that is with the Lloyds capability. It's been a week and jointly come in and help a retailer. Let's think it through. Let's think you have how many branches looking to wear? What are your problems? What your inventory leak age. You know what your current experience, but you're in store WiFi. We can build a plan on what we can do. But the next big problem that we see is not about the technology is about the people in the process. How do you convince its How do you commit? Some who invest to change well, this through our proof of concept capabilities, we have the ability of starting small. Let's just go in and we can do through this architect modular proven architecture. We could do a starting Well, let's just start with some R F I. D tags and tags and start small. We can deliver the business value and calculate that and extrapolate that out if we apply that to your all your stores and scale fast. So we're making it. This be an on ramp for those retailers because they're saying what I do. I know I need to change, but what do I >>So you do like a test store model, right? Okay. And then what? That's your POC is actual. >>Yeah, And then So I wanna go back a little bit on this whole coyote offering. It's a composite offering, right? It takes a lot of technologies coming together and a lot of SMEs subject matter experts to come in and help you to build a whole solution. And that's where I think our solution is where it's ready to go, where all the pieces have been put together and can be easy from day one. The time to market has been drastically reduced because of this. Right? So we see a lot of value in that. >>So So you're able to say Okay, what kind of target customer? What kind of inventory? What's the cost of it? What's the turn? Take all those business attributes and then say we can map that back into a set of physical and system components that you can scale fast >>really comes around you. Three buckets were doing this to optimize an increase revenue, basket size conversions, everything timed revenue, decrease costs, efficiencies and inventory logistics people, uh, labor. And then providing a much greater experience of brand loyalty, which will also affect both costs and >>capture and capture additional data. So, for example, returns means two things costs, but also, somebody had a problem. >>So, uh, we're out of time, but so summarize kind of where you guys were at, >>uh, your solutions when it's gonna be available, you go to market, give us the >>tickets. That right now we're here at HP discovered we're previewing this connected consumer architecture. We're will deploy it. Calendar quarter one of next year will be the full announcement. We have contact information. We would love to engage in clients and start that discussion now around doing proof of concepts on dhe. We're going to be not only driving this collective retail solution that could be extrapolated into different use. Cases in markets were also continued to drive the Moorman industrial Internet of things and manufacturing offering around predicting maintenance, asset monitoring, maintenance that we talked about in Vegas. >>Great. Well, I hope next next Vegas come back with some examples and some a customer, and we could go through so that one of impact you've had, maybe you'll be through a POC. At that point. I'd >>love to get the cube into one of their poc >>a well loved. All right, guys. Thanks very much for coming on the Cube. All right. Good >>to see you. See? All right. Thanks. Keep it right there, >>buddy. We'll be back with our next guest day. Volonte for Peter Burke alive from Madrid 17.