(gentle music) >> Hey! Welcome back to theCUBE's coverage of WiDS 2023, the eighth Annual Women In Data Science Conference. I'm your host, Lisa Martin. We are at Stanford University, as you know we are every year, having some wonderful conversations with some very inspiring women and men in data science and technical roles. I'm very pleased to introduce Tracy Zhang, my co-host, who is in the Data Journalism program at Stanford. And Tracy and I are pleased to welcome our next guest, Rhonda Crate, Principal Data Scientist at Boeing. Great to have you on the program, Rhonda. >> Tracy: Welcome. >> Hey, thanks for having me. >> Were you always interested in data science or STEM from the time you were young? >> No, actually. I was always interested in archeology and anthropology. >> That's right, we were talking about that, anthropology. Interesting. >> We saw the anthropology background, not even a bachelor's degree, but also a master's degree in anthropology. >> So you were committed for a while. >> I was, I was. I actually started college as a fine arts major, but I always wanted to be an archeologist. So at the last minute, 11 credits in, left to switch to anthropology. And then when I did my master's, I focused a little bit more on quantitative research methods and then I got my Stat Degree. >> Interesting. Talk about some of the data science projects that you're working on. When I think of Boeing, I always think of aircraft. But you are doing a lot of really cool things in IT, data analytics. Talk about some of those intriguing data science projects that you're working on. >> Yeah. So when I first started at Boeing, I worked in information technology and data analytics. And Boeing, at the time, had cored up data science in there. And so we worked as a function across the enterprise working on anything from shared services to user experience in IT products, to airplane programs. So, it has a wide range. I worked on environment health and safety projects for a long time as well. So looking at ergonomics and how people actually put parts onto airplanes, along with things like scheduling and production line, part failures, software testing. Yeah, there's a wide spectrum of things. >> But I think that's so fantastic. We've been talking, Tracy, today about just what we often see at WiDS, which is this breadth of diversity in people's background. You talked about anthropology, archeology, you're doing data science. But also all of the different opportunities that you've had at Boeing. To see so many facets of that organization. I always think that breadth of thought diversity can be hugely impactful. >> Yeah. So I will say my anthropology degree has actually worked to my benefit. I'm a huge proponent of integrating liberal arts and sciences together. And it actually helps me. I'm in the Technical Fellowship program at Boeing, so we have different career paths. So you can go into management, you can be a regular employee, or you can go into the Fellowship program. So right now I'm an Associate Technical Fellow. And part of how I got into the Fellowship program was that diversity in my background, what made me different, what made me stand out on projects. Even applying a human aspect to things like ergonomics, as silly as that sounds, but how does a person actually interact in the space along with, here are the actual measurements coming off of whatever system it is that you're working on. So, I think there's a lot of opportunities, especially in safety as well, which is a big initiative for Boeing right now, as you can imagine. >> Tracy: Yeah, definitely. >> I can't go into too specifics. >> No, 'cause we were like, I think a theme for today that kind of we brought up in in all of our talk is how data is about people, how data is about how people understand the world and how these data can make impact on people's lives. So yeah, I think it's great that you brought this up, and I'm very happy that your anthropology background can tap into that and help in your day-to-day data work too. >> Yeah. And currently, right now, I actually switched over to Strategic Workforce Planning. So it's more how we understand our workforce, how we work towards retaining the talent, how do we get the right talent in our space, and making sure overall that we offer a culture and work environment that is great for our employees to come to. >> That culture is so important. You know, I was looking at some anitab.org stats from 2022 and you know, we always talk about the number of women in technical roles. For a long time it's been hovering around that 25% range. The data from anitab.org showed from '22, it's now 27.6%. So, a little increase. But one of the biggest challenges still, and Tracy and I and our other co-host, Hannah, have been talking about this, is attrition. Attrition more than doubled last year. What are some of the things that Boeing is doing on the retention side, because that is so important especially as, you know, there's this pipeline leakage of women leaving technical roles. Tell us about what Boeing's, how they're invested. >> Yeah, sure. We actually have a publicly available Global Diversity Report that anybody can go and look at and see our statistics for our organization. Right now, off the top of my head, I think we're hovering at about 24% in the US for women in our company. It has been a male majority company for many years. We've invested heavily in increasing the number of women in roles. One interesting thing about this year that came out is that even though with the great resignation and those types of things, the attrition level between men and women were actually pretty close to being equal, which is like the first time in our history. Usually it tends on more women leaving. >> Lisa: That's a good sign. >> Right. >> Yes, that's a good sign. >> And we've actually focused on hiring and bringing in more women and diversity in our company. >> Yeah, some of the stats too from anitab.org talked about the increase, and I have to scroll back and find my notes, the increase in 51% more women being hired in 2022 than 2021 for technical roles. So the data, pun intended, is showing us. I mean, the data is there to show the impact that having females in executive leadership positions make from a revenue perspective. >> Tracy: Definitely. >> Companies are more profitable when there's women at the head, or at least in senior leadership roles. But we're seeing some positive trends, especially in terms of representation of women technologists. One of the things though that I found interesting, and I'm curious to get your thoughts on this, Rhonda, is that the representation of women technologists is growing in all areas, except interns. >> Rhonda: Hmm. >> So I think, we've got to go downstream. You teach, I have to go back to my notes on you, did my due diligence, R programming classes through Boeings Ed Wells program, this is for WSU College of Arts and Sciences, talk about what you teach and how do you think that intern kind of glut could be solved? >> Yeah. So, they're actually two separate programs. So I teach a data analytics course at Washington State University as an Adjunct Professor. And then the Ed Wells program is a SPEEA, which is an Aerospace Union, focused on bringing up more technology and skills to the actual workforce itself. So it's kind of a couple different audiences. One is more seasoned employees, right? The other one is our undergraduates. I teach a Capstone class, so it's a great way to introduce students to what it's actually like to work on an industry project. We partner with Google and Microsoft and Boeing on those. The idea is also that maybe those companies have openings for the students when they're done. Since it's Senior Capstone, there's not a lot of opportunities for internships. But the opportunities to actually get hired increase a little bit. In regards to Boeing, we've actually invested a lot in hiring more women interns. I think the number was 40%, but you'd have to double check. >> Lisa: That's great, that's fantastic. >> Tracy: That's way above average, I think. >> That's a good point. Yeah, it is above average. >> Double check on that. That's all from my memory. >> Is this your first WiDS, or have you been before? >> I did virtually last year. >> Okay. One of the things that I love, I love covering this event every year. theCUBE's been covering it since it's inception in 2015. But it's just the inspiration, the vibe here at Stanford is so positive. WiDS is a movement. It's not an initiative, an organization. There are going to be, I think annually this year, there will be 200 different events. Obviously today we're live on International Women's Day. 60 plus countries, 100,000 plus people involved. So, this is such a positive environment for women and men, because we need everybody, underrepresented minorities, to be able to understand the implication that data has across our lives. If we think about stripping away titles in industries, everybody is a consumer, not everybody, most of mobile devices. And we have this expectation, I was in Barcelona last week at a Mobile World Congress, we have this expectation that we're going to be connected 24/7. I can get whatever I want wherever I am in the world, and that's all data driven. And the average person that isn't involved in data science wouldn't understand that. At the same time, they have expectations that depend on organizations like Boeing being data driven so that they can get that experience that they expect in their consumer lives in any aspect of their lives. And that's one of the things I find so interesting and inspiring about data science. What are some of the things that keep you motivated to continue pursuing this? >> Yeah I will say along those lines, I think it's great to invest in K-12 programs for Data Literacy. I know one of my mentors and directors of the Data Analytics program, Dr. Nairanjana Dasgupta, we're really familiar with each other. So, she runs a WSU program for K-12 Data Literacy. It's also something that we strive for at Boeing, and we have an internal Data Literacy program because, believe it or not, most people are in business. And there's a lot of disconnect between interpreting and understanding data. For me, what kind of drives me to continue data science is that connection between people and data and how we use it to improve our world, which is partly why I work at Boeing too 'cause I feel that they produce products that people need like satellites and airplanes, >> Absolutely. >> and everything. >> Well, it's tangible, it's relatable. We can understand it. Can you do me a quick favor and define data literacy for anyone that might not understand what that means? >> Yeah, so it's just being able to understand elements of data, whether that's a bar chart or even in a sentence, like how to read a statistic and interpret a statistic in a sentence, for example. >> Very cool. >> Yeah. And sounds like Boeing's doing a great job in these programs, and also trying to hire more women. So yeah, I wanted to ask, do you think there's something that Boeing needs to work on? Or where do you see yourself working on say the next five years? >> Yeah, I think as a company, we always think that there's always room for improvement. >> It never, never stops. >> Tracy: Definitely. (laughs) >> I know workforce strategy is an area that they're currently really heavily investing in, along with safety. How do we build safer products for people? How do we help inform the public about things like Covid transmission in airports? For example, we had the Confident Traveler Initiative which was a big push that we had, and we had to be able to inform people about data models around Covid, right? So yeah, I would say our future is more about an investment in our people and in our culture from my perspective >> That's so important. One of the hardest things to change especially for a legacy organization like Boeing, is culture. You know, when I talk with CEO's or CIO's or COO's about what's your company's vision, what's your strategy? Especially those companies that are on that digital journey that have no choice these days. Everybody expects to have a digital experience, whether you're transacting an an Uber ride, you're buying groceries, or you're traveling by air. That culture sounds like Boeing is really focused on that. And that's impressive because that's one of the hardest things to morph and mold, but it's so essential. You know, as we look around the room here at WiDS it's obviously mostly females, but we're talking about women, underrepresented minorities. We're talking about men as well who are mentors and sponsors to us. I'd love to get your advice to your younger self. What would you tell yourself in terms of where you are now to become a leader in the technology field? >> Yeah, I mean, it's kind of an interesting question because I always try to think, live with no regrets to an extent. >> Lisa: I like that. >> But, there's lots of failures along the way. (Tracy laughing) I don't know if I would tell myself anything different because honestly, if I did, I wouldn't be where I am. >> Lisa: Good for you. >> I started out in fine arts, and I didn't end up there. >> That's good. >> Such a good point, yeah. >> We've been talking about that and I find that a lot at events like WiDS, is women have these zigzaggy patterns. I studied biology, I have a master's in molecular biology, I'm in media and marketing. We talked about transportable skills. There's a case I made many years ago when I got into tech about, well in science you learn the art of interpreting esoteric data and creating a story from it. And that's a transportable skill. But I always say, you mentioned failure, I always say failure is not a bad F word. It allows us to kind of zig and zag and learn along the way. And I think that really fosters thought diversity. And in data science, that is one of the things we absolutely need to have is that diversity and thought. You know, we talk about AI models being biased, we need the data and we need the diverse brains to help ensure that the biases are identified, extracted, and removed. Speaking of AI, I've been geeking out with ChatGPT. So, I'm on it yesterday and I ask it, "What's hot in data science?" And I was like, is it going to get that? What's hot? And it did it, it came back with trends. I think if I ask anything, "What's hot?", I should be to Paris Hilton, but I didn't. And so I was geeking out. One of the things I learned recently that I thought was so super cool is the CTO of OpenAI is a woman, Mira Murati, which I didn't know until over the weekend. Because I always think if I had to name top females in tech, who would they be? And I always default to Sheryl Sandberg, Carly Fiorina, Susan Wojcicki running YouTube. Who are some of the people in your history, in your current, that are really inspiring to you? Men, women, indifferent. >> Sure. I think Boeing is one of the companies where you actually do see a lot of women in leadership roles. I think we're one of the top companies with a number of women executives, actually. Susan Doniz, who's our Chief Information Officer, I believe she's actually slotted to speak at a WiDS event come fall. >> Lisa: Cool. >> So that will be exciting. Susan's actually relatively newer to Boeing in some ways. A Boeing time skill is like three years is still kind of new. (laughs) But she's been around for a while and she's done a lot of inspiring things, I think, for women in the organization. She does a lot with Latino communities and things like that as well. For me personally, you know, when I started at Boeing Ahmad Yaghoobi was one of my mentors and my Technical Lead. He came from Iran during a lot of hard times in the 1980s. His brother actually wrote a memoir, (laughs) which is just a fun, interesting fact. >> Tracy: Oh my God! >> Lisa: Wow! >> And so, I kind of gravitate to people that I can learn from that's not in my sphere, that might make me uncomfortable. >> And you probably don't even think about how many people you're influencing along the way. >> No. >> We just keep going and learning from our mentors and probably lose sight of, "I wonder how many people actually admire me?" And I'm sure there are many that admire you, Rhonda, for what you've done, going from anthropology to archeology. You mentioned before we went live you were really interested in photography. Keep going and really gathering all that breadth 'cause it's only making you more inspiring to people like us. >> Exactly. >> We thank you so much for joining us on the program and sharing a little bit about you and what brought you to WiDS. Thank you so much, Rhonda. >> Yeah, thank you. >> Tracy: Thank you so much for being here. >> Lisa: Yeah. >> Alright. >> For our guests, and for Tracy Zhang, this is Lisa Martin live at Stanford University covering the eighth Annual Women In Data Science Conference. Stick around. Next guest will be here in just a second. (gentle music)

>> Narrator: From the SiliconANGLE Media Office, in Boston, Massachusetts, it's theCUBE. Now, here are your hosts, Dave Vellante, and Stu Miniman. >> For several years now, the analysts at WikiBound have been talking about taking the cloud, the public cloud, operating model, and bringing it to your data, wherever that data lives. Hey everybody, this is Dave Vellante, and I'm here with my co-host, Stu Miniman. Welcome to HCI: A Foundation For IT Transformation. We're here with Chad Dunn, who's the Vice President of Product Management and Marketing, at Dell EMC. Chad, good to see you again. Thanks for coming on. >> Yeah, glad to be here, good to spend time with you guys. >> So, we talk a lot about, you know, VxRail, speaking of foundations. Give us a quick update. What is it, and what's new with VxRail? >> Okay, well big news in VxRail land, right, we just completed our transition under the 14th generation of Dell Power Edge servers, so this gives us a substantially more powerful platform, a substantially more predictable performance, and a lot more configuration options that make it fit a lot of different workloads that our customers have, so it really makes it prime time for HCI. >> So, where is the power and performance come from? Is that predominantly, kind of, new compute? >> That's a big piece of it. Some of that is software as well, right? vSAN underlies VxRail as a software defined storage layer, and we've seen pretty amazing increases in performance, just from software, from our 13G, to our 14G transition, but when we look at that performance now, on 14G servers, with the Intel Skylake chipset, we're seeing 2x performance over the last generation, and we're seeing latencies that are very, very low. And that has to do with, more and faster memory channels, more threads, overall faster processors, so really off the hook, in terms of the performance that we're seeing. >> Chad, when we look at HCI, it's really about the software layer, often, it gets overlooked, you know, what actually has to happen between the software and that underlying hardware? Are there optimizations, does it matter if I'm using the software, you know, what's optimized for that next generation Intel chip? >> Yeah, it's all about the software, or so our software vendor would say, but we know that when you're treating something as a system, you need that hardware and that software to work together, in perfect unison, as a system, and, you know, we've done a lot in this generation, working with the PowerEdge team to make sure that we have the right hardware, hooks, and design points that are focused on HCI. That goes from things like the devices that we use to boot up, and where we would execute the hypervisor kernel, to network connectivity, and really importantly, to the inband channels that we use to update all of the little pieces of firmware that operate the hardware inside the system, right? You need to be able to treat those as a system, update, lifecycle manage those, all in context of one another, so having direct and deep, meaningful access into that hardware is critically important when you're operating a system like this. >> When we've looked at, kind of, our cloud strategy, in general, it's about the data. We talk about data, it's things like predictability and latency, it's about, kind of, the power of the underlying thing, maybe, give us a little bit more specifics, as to what you're getting in this generation. >> So, the big difference here, above and beyond the performance, which is about 2x what we saw from the last generation, if we look at the same hardware, the same software, running on the two different pieces of hardware, about 100% better. But that's really just part of the story. It's the predictability of latency that's critically important. If you're going to migrate Tier 1 workloads under this infrastructure, you need to ensure that other workloads are not going to disturb that performance. So when we look at this, we look at how the IOs per second increases, and we look at the overall latency. How long does that latency line stay flat, right? So when we look at this generation, we see over 2x the IOPS, but the horizontal line where we look at the response time in latency, it stays flat nine times longer in this generation than in the last. So if you've got that sub-millisecond response time, even at very high IOPS, you can put a lot of different workloads on that same infrastructure, and still get predictable performance. >> I think, the other thing that people don't understand, is that, oh, HCI, it's just like, it's that little LEGO block you build, but it's not just one LEGO block, what have you seen from customers, what's kind of, the portfolio, what are the decisions that they have to make, to kind of, pick the right configuration? >> Sure, so yeah, when you're a kid and you get your first LEGO set, you get a lot of pretty generalized blocks, they're all, you know, square and some are rectangle, but not a lot of variability. When you get up into the big leagues of the LEGO Star Wars set, right, you've got a lot of specialized parts, and you can do really advanced, really cool things. That's really where we're at with HCI right now. If you want to really tune the infrastructure for the workloads that you have, you need a lot of variability in the processors you choose, the amount of memory, the speed of memory, and even the storage. It could be hybrid, some people still choose hybrid HDDs, but even within flash, people will choose SAS or SATA drives depending on the performance and cost benefits that they want to realize. So being able to scale up and down the processors, the memory, different types of storage, is critically important, so you can fit it into those different workloads. Also, a lot more people use this for VDI, and for high end imaging. So the ability to pack these things full of graphical processing units, and still be able to power and cool the things, is critically important. We have a lot of applications in those verticals where there's video processing and these are required. So, we don't just have one model of VxRail, we've got a number of different VxRail models, all of which can scale up, and then of course, HCI can intrinsically scale out. So that lets you really fine-tune it and get to that expert level, in terms of your LEGO building blocks. >> So Chad, a minute ago, you mentioned workloads. So as you're bringing this sort of 14th generation server technology to VxRail, how has it affected workloads, what are you seeing is the sweet spot for workloads? >> So if I were to think back a year, the question that every customer would ask, is how do I know which workload is right for HCI? And a lot of times they even lack the vocabulary and taxonomy to say, okay, that fits, that doesn't fit. What's happened in the meantime though, are the software's gotten so much better, the hardware's gotten so much faster and more predictable, that the question is, well, what workloads are not right for HCI yet? And there are very few that aren't. So, we've seen people generally start off with one workload, right? Maybe it's VDI, maybe it's a database, and then they start to move other, as they get comfortable with it, they move other workloads over to it. Obviously, we've got a big install block, or install base of VxBlock, and Vblock. We see a lot of those customers start to migrate workloads from there onto a layer of HCI. And more and more, those are becoming Tier One workloads. Crate & Barrel is a great example, a great customer of ours. They're moving their point of sale systems onto VxRail. Now for a retailer, your point of sale system, that's about as mission critical as you can possibly get, so they and others now have the confidence to start to move these things over. The only outliers that we see are some of these very big data applications that are hugely write intensive, and we actually usually end up selling a layer of hyper-converge with our Isilon arrays, to store that data, and then put a layer of hyper-converge compute around it, because in some ways, hyper-converged is just a better way to server, if you know what I mean. >> Wondering if you can talk about the business impact, what a customer's seeing, how are they quantifying the value of these systems, share some stories, or color there. >> Sure, it's all about operational expense savings, right? How much more efficiently am I going to be able to operate this infrastructure? It's not so much about capital acquisition costs. So when you look at the typical operational expense savings, and that comes from us doing all the lifecycle management of the hardware, of the software, of the cluster as a system, you see those costs go down. Really good example, is First Credit of British Columbia. Another one of our good customers. Now, they've deployed this, they've seen 30% OPEX savings and they've seen 50% power and space savings. You get a smaller package because you don't have separate storage array, separate servers, but, you also have really, one function that needs to operate your environment and that's the virtual administrator. He or she is the one that really operates everything, you don't have separate storage, separate compute, separate virtualization teams that have to look after the infrastructure. So, that first run is very easy, very fast to deploy, but it's day two through 700 and day 900 where you see that recurring operational expense saving where it really pays off for customers, all the updates and updates and life cycle management. >> Yeah, so Chad you talk about the success and all the customers. What about the customers that haven't looked at kind of the HCI space yet? What are they missing? You know, what do you say to those customers that maybe, you know, aren't sure if the waters right to jump in yet? >> So there's really three ways that you're going to encounter a customer who's going to consider HCI. You're either going to refresh a server, you know, your servers are up for maintenance and you're going to take a look at HCI as the next step in your evolution of your compute strategy. Or you're going to refresh your storage, and you're going to look at hyperconvergence as the next step in the evolution of your storage strategy. Or you've got that one workload that's probably net new and it's going to be, sort of, an isolated case and they need an infrastructure and they need to stand if up fast. That third case is really the one that drove the initial adoption of HCI, I can't tell you how many of our customers started with VDI. I mean, it's so cliched now to talk about VDI as killer app for HCI, but that's how so many people started. Because it's, you know, a very bound, isolated infrastructure and from there they get comfortable with it and they start to bring other workloads onto it. So, if you're thinking about refreshing your servers and if you're thinking about refreshing storage, it's time to kick the tires onto HCI. If you've got a workload that you need to stand up quickly and you don't know how big it's going to be, you know, one, two, three years down the road. It's another opportunity to look at HCI. Because you can start with a very small infrastructure, but you can grow it to a very very large one. >> What if we could talk a little bit about digital transformation, I mean, everybody's talking about digital transformation, and to us, digital transformation is all about how you leverage data and the edges exploding. We've envisioned sort of a three tier data model. You've got the edge, you've got maybe an aggregation point and you bring it back to the cloud. And that cloud can be a public cloud or it can be on-prem. So you've got to have some kind of cloud infrastructure to manage all this data. So where does this fit in the context of transformations and why does hardware matter? >> Yep, well let's go from the end and work back to the beginning. Hardware matters because of form factor, for one. As you start to push compute out to the edge, right, you want form factors that are small, don't consume a lot of power but, you know, still have a lot of processing power and can manipulate that data. Right, the whole internet of things phenomenon that is, creating all this data out at the edge, you know, presents us with a conundrum right? The data itself is not that valuable, the insights that we get from the data are immensely valuable. Bringing all that data back to the core to do something with is not cost effective. So, it's how do we turn the data at the edge into information and then how do we funnel that valuable information back to the core and leave the unvaluable data out where it is. hyper-converge fits really well there because you can have, you know, devices of very small form factors that are very quick to deploy, very easy to manage remotely. At the aggregation point you can have, simply, larger versions of the same thing or more of the same thing. And then finally at the core you can have very large clusters of hyperconverged appliances, like VxRail, to do your processing. Now the key is from an operational perspective you've still got a single pane of glass that manages everything. Right, it's still the same set of tools, it's still the same hardware and software lifecycle management process that happens out at the edge, at the aggregation point and at the core. So again, it comes back to the operational expense of making decisions closer to the data and then managing everything with a consistent set of tools. >> So I wondered if we could also talk about the competition and when Stu and I think about competition in this sphere we look at, first of all this all sort of software defined, everything can moved into software defined. So we see two vectors, one is head to head competition with other software defined suppliers, and the second big competitor is, hey, I'm just going to roll on my own. >> Chad Dunn: Right >> So let's start with the former, why Delium C vs vendor A, B, C or D? >> Sure, sure it really gets down to what your goal is as a customer and we obviously have multiple options within our own portfolio and those perfectly, you know, find solutions for a lot of people. But, you know, number one if you're a VMware user and you want to optimize around the VMware user experience, then VxRail is the way to go. Because we do co-engineer this with Vmware, it's not just a regular partnership, we have engineers and marketing people and product managers at Vmware that functionally role up to our team and so we do behave as one engineering and one product management organization to really optimize the user experience for VMware. Secondly, architecturally from a VCM perspective, this is a service that's baked into the kernal of vSphere. So, in terms of performance and the overhead that it creates on CPU, memory, et cetera. This is the best game in town. We can do more IO more predictably with flatter latency than really any other solution that's on the market in the HCI space. Every other one takes a virtual storage appliance approach where they have something running on top of the hypervisor. >> Dave Vellante: Right. >> The very long and circuitous data path, we'll performance test against solutions like that all day long, every day, that doesn't worry us at all. So, if you're a vSphere customer, VMware customer it's the most obvious choice and from a performance perspective you're not giving up anything right? We don't want users to have to sacrifice the storage functionality, the performance, the compute functionality. Just because it's hyper-converge and you scale out doesn't mean you can compromise on any to those axis. >> Okay, what about the guys who like to change their own oil in the car and the spark plugs and tune it up and they want to roll on their own. >> (laughs) It's been a long time since I've been able to work on my own car. So I encounter these kind of customers all the time. It's the build your own crowd and it's what they've been doing for a long time. And it's great, alright, I build my own computers at home and I have my own ESX server that I put together. I can't afford a VxRail. (laughing) There's no employee discount. So I'll tell you a story that will hopefully make sense, my first job when I got into this business, I went to Boston College, my first job and work study was to keep a spreadsheet that had all the MAC addresses and all the IP addresses for every host on the BC network and keep those in sync. >> You're really good at that I bet. >> I was excellent at that. That is not a skill set that is in demand right now. Or really even at that time. But when you think about what it means to take a software defined storage product like VMware vSAN and take an x86 server and put those together. Yes, you're getting to the same destination of running vSphere on a host with software defined storage. You're missing the systemness, right? We go to a lot of trouble to make sure we're managing all of things things in the context of the cluster level. All of the little pieces of firmware, and they're roughly 12 or so pieces of firmware that we have to take care of. From the BIOS to the drive controller firmware, the drives, the boss card, which is our boot media, the iDRAC firmware, the backplane, power supplies. In legacy EMC we spent 30 years building arrays. We had all those same challenges with all the different pieces of firmware and software that all had to function as a system, we did that. And we guaranteed that it would live up to 5/9ths of availability for the customer. That's exactly what we do when we deliver VxRail's hyperconverge. If you want to choose to build those things yourself that's fine if you have the skills and that's how you want to operate your business. The 5/9ths is now on you though. Right, because you're the one responsible for bringing all those parts together. So, yeah it's certainly a valid path for others but, the market is shifting and we see more often than not, people are moving towards a buy approach rather than build. >> You bring up a great point. I remember back in the early days before we even called it HCI, you think about vSAN, oh well is the storage admin going to buy it? Is the virtualization admin going to take that over? What's excited me about this wave is the oh, heres the cool stuff that companies are doing now that they're not spending their time keeping spreadsheets of MAC addresses. >> Chad Dunn: Yeah, yeah exactly. >> What is the kind of, you know, owner of this, look like in your environment? And any cool stories you're hearing from customers transforming their organization. >> By and large the operator is your virtual admin. The person who is at home in vCenter and vROps, you know, maybe even vRA if they're going full infrastructure as a service. That's really the user of this, and the dynamic you mention is similar to what we had with Vblock, right. Customers who went Vblock, who said, I'm going to change my operating model to a virtual administrator versus compute, storage, network. You know, customers who didn't change the operating model were not happy Vblock customers. Ones that did change the model did. And, I'll tell ya a real off script anecdote, recently I was traveling in Europe, and I started playing a game with the sales guy we were traveling with. Because in Europe, very often, they have more of an affinity to putting their logos on the sides of buildings in a lot of European cities. So, as we would go to these different cities and we went from Stockholm all the way down to Rome, to Switzerland, to Amsterdam. You know, we're just spotting VxRail customers, right, whose going to spot the most. And the one really interesting one is we checked into a hotel, you know, late night in Switzerland. Next morning we meet for breakfast and he goes, "Did you spot the rail customer?" I said "Who was it?" We went into the bathroom and they have these, you know, squeeze bottles that have the soap in the shower and it's a cosmetics company and they're located in Germany. And they do, obviously, a ton of business all over Europe, and they had outsourced a lot of their IT because, you know, their core competency is not IT, it's cosmetics. And they now have one guy that looks after all of IT for this company rather than outsource it to two different companies to manage all this and he runs it all on VxRail. So, transformative yes, to that company very transformative. But, at a very small scale, but that pattern sort of repeats itself the higher that you scale. >> Alright we're out of time but where can people go to get more information on this and other products your HTI strategy. >> If I were them I'd go to dellemc.com/hci. >> Excellent, Chad, thanks very much, Stu appreciate you co-hosting with me and check out videos on thecube.net, this and other videos will be up there. Thanks for watching everybody, Dave Vellante for Stu Miniman we'll see you next time! (techno music)

live from Las Vegas it's the Cuban covering AWS reinvent 2017 presented by AWS Intel and our ecosystem of partners ok welcome back everyone we're here live in Las Vegas forty two thousand plus people maybe forty five huge numbers here at AWS reinvent twin seventeen Amazon Web Services annual conference wall-to-wall coverage our third day I'm John Ferrier the co-founder of silicon Anglo what's two Minutemen we're here with Andy Jesse the CEO of Amazon Web Services the Andy crate to see you again great to see you thanks for having me on graduations we had a great chat a week ago you and I sat down for breakfast and you kind of laid out you kind of laid out with a plan for the show here but I you kind of left a lot out of this you hold it back I've know every three hours from I thought I had a great story you needed the floor our breakfast oh damn it's good what an announcement I mean your keno two and a half hours I mean the longest keynote I've seen just non-stop announces you went right into a no preamble right into the announcements how many announcements did you do like fifty plus or what was the number I think there were 22 news services and features announced in the keynote I did alright so you gotta look back now as it's coming down to an end to reap the parties tonight what's your take I mousey you're absorbing it still he's still kind of like numb pinch me moment what's what's the vibe what are you feeling right now you know it's been a fantastic week and this is our favorite week of the year just having the chance to spend the week with our entire community and I think that it's been a very successful week in terms of what we were trying to accomplish which was it's always first and foremost of learning and education conference and I think that people feel like the array of sessions they've been able to go to and what they've learned both about the services altogether the new services we announced and then just especially what other peers are doing on top of the platform I think has been really valuable and I've had a lot of customer meetings over the last few days and the conversations have been so excited you know people saying I just can't you know you guys already had so much functionality but I just can't believe the amount of innovation and capability the two guys just released over the last couple days and several people said to me you know how to I knew I was having a meeting with you so I had a list of things I was gonna ask you to to deliver and during your keynote I kept going check check check so they're a really positive excited conversation talk about the flywheel what's going on with you guys right now I use that term kind of a pun intended because you've got some flywheel going on as you add more services I detailed in my story after we met I teased out this is a competitive advantage for you you just listen to listening to customers but you're putting out more services there's leveraging those services so it's good for customers but I worry about the complexity and they might worry about the complexity how do you talk about that and how does your team address that because I mean tsunami of services yeah well you know I think that the first thing to remember is that simply because we have a lot of functionality doesn't mean that customers have to know about every single service and every single feature they use what they need when they need it and they don't have to pay for it up front and so you know one of the reasons we release so many things during the area of over 1300 services and features this year alone and in about 70 new releases just at reinvent this week is that when you have millions of active customers you have lots of diversity in those customers you know lots of different businesses lots of different priorities lots of different needs and so you know even in the set of customer meetings I've had this week the first question I asked every single customer i sat down with is what are your impressions what are you excited about they were some who said I can't believe I'm so excited about sage maker it's gonna completely change the accessibility of doing machine learning in my org and some said oh I really really wanted those language application services and machine learning others were totally focused on the multi master or aurora on the global tables for dynamodb and the graph database and then still others said you know I love ECS but I've wanted a kubernetes option and then now that I don't even have to manage containers at the server level and I can manage the task level is what I'm excited about still others who are IOT customers that's what cared about so we have so many customers it was such diversity in their businesses and their priorities that they all have a bunch of needs keep on delivering on that and I want to get your reaction something that we've been talking about in the cube all week which is well I've been pushing its due and I've been kind of debating it but we see a clear path towards a new renaissance in software development and invention and it comes down to some of the things that you guys have enabled we saw a lot of go get excited by some of the deep learning I'll see lecture for business and two other things it's easier to do stuff now the application layer because you don't have to build the full stack so we're you guys are talking about a reimagining architecture that was Vernors keynote it's all kind of pointing to a new Renaissance a new way to create value what's your reaction then how do you share that the customers because it's kind of a new new model yeah well I think that this has been happening now for you know the last ten years and I think that people aren't building applications for the most part the way they used to it you know if you if you're building new applications and you're trying to build all the hosting software and all the storage software and all the database software at all the messaging and queuing and analytics and and machine learning you're just wasting resource because because when you when you have the option of using 120 services from a platform like AWS that has thousands and thousands of people working on it delivering on average three-and-a-half new features a day that you could choose to use or not it's so much faster and so much more empowering to let your builders take advantage of that platform you get from idea to implementation and orders of magnitude faster using the cloud and that you know what keeps happening is we just keep adding more and more capabilities that allow people get now even the marketplace we just had Barry Russell on and you go now are bringing a global reach opportunity so not only can you help them get to market faster with coding and building value this growth so it's not just parking the marketplace and hope that something happens they're taking advantage of that growth I think it's a really important point it's it's not just a set of services that we're building but are thousands and thousands vis--vis and SAS providers who are also building products on top of AWS where their business is growing by leaps and bounds I mean one of the interesting things about the marketplace I don't know how much you guys have talked about this in the past or currently is that most if you talk to most software buyers they hate the process it you know it's just how long it takes the negotiation process most the software sellers also hate the process and so if you can find a mechanism which is what we're trying to provide with the AWS marketplace where buyers and sellers can complete those transactions and find each other so much faster it totally changes the world of buying software and consuming software Andy I came in this week pretty excited to look at the adoption of server lists and you know congratulations you've impressed a lot of announcements talked a lot of customers the thing that probably impressed me the most is it went from being kind of just lambda to really integrated all the service it's a much more holistic view but you made a comment that I that a lot of us in the community kind of you know poked at a little witches if you were to build AWS today in 2017 you would build it you know on you mean Amazon yes sorry Amazon on it today now I've talked to startups that are building all server list but you know it was on D gigantic company and you know I talked to Tim I talked to the team a lot of things I can't do so is this a goal or you know it just being kind of kind of the future or you know do you feel that I can put you know a global you know company of your size you know built with yeah yeah it's a good question and you know I really the comment I made was really about directionally what Amazon would do you know in the city in the very earliest days of AWS Jeff used to say a lot if I were starting Amazon today I'd have built it on top AWS we didn't have all the capability and all the functionality at that very moment but he knew what was coming and he saw what people were still able to accomplish even with where the services were at that point I think the same thing is true here with lambda which is I think if Amazon we're starting today it's a given they would build it on the cloud and I think we with a lot of the applications that comprise Amazon's consumer business we would build those on our server list capabilities now we still have plenty of capabilities and features and functionality we need to add to to lambda and our various serverless services so that may not be true from the get-go right now but I think if you look at the hundreds of thousands of customers who are building on top of lambda and lots of real applications you know FINRA is built a good chunk of their market watch application on top of lambda and Thompson Reuters has built you know that one of their key analytics apps like people are building real serious things on top of lambda and the pace of iteration you'll see there will increase as well and I really believe that to be true over the next year or two and you talked a little bit more about competition than then I'm used to hearing in the keynote I mean there's been some pokes at some of the database stuff in that migration but you know when it walked talked about there was this colorful bar chart you put up and you had some data pointing about that you know in your market chairs growing your continuing growth you know how do you look at the market landscape what are people you know still getting wrong yeah I think that I don't think that we actually talked that much more or less about competitors in the keynote there was a slide that had a color chart that may have been the only difference but you know for us it's always about you you could spend so much your time trying to look at what others are doing and wondering what they're gonna do the reality is if you don't stay focused on your customers and what they actually care about you know you're wasting your time about mobile and business years ago Alexa for business is a new thing voice we heard from Berner today it's a new interface so we were talking on the cube it's the first time we're kind of talking about this constant maybe we're the first ones to say it so we'll just say it voice first strategy mobile first created a massive wealth creation iPhone new kinds of application development voice has that same feel voice first interface could spawn massive innovation yeah what's your view their reaction what do you guys talk about internally at Amazon in terms of a how voice will take advantage of all your scale yeah well I strongly agree with what you heard Verner communicate in the in his keynote today which is just you know when we first had phones that had apps and you could do all kinds of things by tapping on the phone like that was revolutionary but then when you experienced a voice app it makes tapping on your phone so circa 2010 and so I think that the world will have a huge amount of voice applications it's gonna be people's preference and in part because it's just a more natural expression than actually tapping and trying to click and type things and so we we had so many customers almost a good chunk of our enterprise meetings that we have throughout the year one of the things customers want to talk about is how can I actually be involved in using Alexa how can I build skills for Alexa and then over the last few months that conversation has started to turn to hey you thinking about making Alexa more useful inside of businesses and for work and so there's so much applicability I think that voice first it's gonna have the same kind of impact or more than the mobile trend or I think it has a chance to have as big an impact I mean all the devices have to continue to evolve and you can see that at Amazon we're continuing to build all kinds of diverse devices but I think voice is gonna be a major mode of how people interact with handi 42,000 people I don't know how you top it congratulations on all your success and appreciate the growth and you've done with the company congratulate breaking chicken wing contest to Tonka yeah we said a Guinness I what is that about come on tell us about this door well I Tatanka is a buffalo wing eating club that we started in Seattle back in 1997 and we go for wings we used to go every Tuesday night for wings and we have membership standards you can become a regular member if you need 10 wings with five pasty wings a pasty wing is you know when the wing sauce sits the room temperature and it kind of congeals it gets Spacey so it's five wings wrapped in that pays platinum membership is 25 wings plus five pasties then we started having eating contests and we call it a tonka Bowl and so when we start a reinvent we very much wanted to have a conference that had a lot of interesting fun quirky events and one of the ideas we had was we said well let's try an eating contest and the first year we tried it we did it a lunchtime down in the basement and nobody wanted to have an eating contest at one o'clock in the afternoon in the middle of rain BAM so then we moved it to Lagasse Stadium here in the Venetian and people started coming so this year we had two groups of about a hundred each one at Lagasse won at the MGM and they they did a 30-minute round and then the top five wing eaters in each venue came back to one place for a second round and the winner apparently ate a cumulative total of 59 wings there were three thousand eight hundred and fifty-seven Wings consumed in the contest about as many features as Amazon has released since the first time event sounds like to continue the momentum and you're eating away at the competition congratulations Andy jazzy CEOs on Web Services the cube thanks for coming in man and I appreciate it guys thanks for being here appreciate it live coverage here from Las Vegas Amazon webster's reinvent annual conference 2017 s the cube I'm John Force to Minutemen be back with more live coverage after this short break [Music]

>> Narrator: Live from the Javits Center in New York City, it's The Cube, covering Inforum 2017, brought to you by Infor. >> Welcome back to The Cube's live coverage of Inforum 2017. I'm your host, Rebecca Knight, along with my cohost, Dave Vellante. We are joined by Corey Tollefson. He is the senior vice president and general manager for retail here at Infor. Thanks so much for returning to The Cube. >> Happy to be here. >> Good to see you again. >> Looking forward to this, again. >> So you were, this was launched about 18 months ago, so give our viewers a status update, where are we? >> Well, it's been an amazing ride, so just 12 months ago, I think we talked about the initial prognosis of the business unit. Yeah, we just ended our fiscal year, we did about 77% year over year growth, we expanded into new markets like New Zealand and in Europe, we just opened up a brand new office in London, and we're thrilled with the market reception of our solutions. >> So talk a little bit about the solutions that you're coming up with, I mean, retail, or actually, let's back up. Let's talk a little bit about the state of retail right now and what the retailers themselves are feeling, and also, the customer experience. >> Yeah, I mean, anybody that shops understands that retail is in a complete disorder. I'd say chaos and disorder right now. >> Let's do some shopping! >> (laughs) >> Yeah, exactly, well, that's a great point. So when you think of retail, think of post World War II, where basically, the premise for retailing was an anchored mall with knowledgeable shoppers, or knowledgeable workers, associates that knew about their product, they were very product-centric. It was all about taking the car and the family and going to a destination and making it about your day. The reality is, the e-commerce world has changed the business model so much that retail is centered around these iPhones, and the smartphone, that it's 24 hours a day, 365 days a year, and that the power of the information has now shifted from the store associates, to the actual consumer, so consumers and customers can walk into a retailer and have more knowledge, not only about the products that you're selling, but even your inventory levels, you know. Looking online, being able to buy on, search online and come into the store and purchase something, so. >> Yeah, so, I mean, there was always an asymmetry, pre-Internet, the brands had all the power, they had all the information, and then it's, as you say, it's totally flipped. In many ways, digital transformation is about trying to create that balance of power again, back in the hands of the brand, right? >> Yeah, I mean, it's funny how, if you look at it over the last 20 years, at first it was the brand and the manufacturers had all of the influence, and then, the whole concept of category management and allowances and things like that in the '90s, the retailers started to have the influence. Now the reality is, it's not even the retailers or the brands anymore, it's the customer. The customer and the consumer have all the influence in the world, which is making so much chaos and disorder around what's retail and the lines have blurred between what's a brand manufacturer and what's a retailer. >> So everyone's got their sort of, I've got to compete with Amazon strategy. What are you seeing that's, that's actually working? >> Well, what's happening in the industry, you know, you may have heard that Amazon put an offer in on Whole foods and ... >> I have heard that, yeah. >> You may have heard about that, so, what it does is it's basically validating our strategy two and a half years ago, when we had the idea of putting together this retail team and what we've done since then, around, you know, modern, beautiful applications that are fueled by science and analytics, that have a beautiful user experience, all those types of technologies are codified over the last two years, and best practices that we've created by using our relationships with Crate & Barrel and Whole Foods and DSW and Nordstrom, as opposed to stuff where that was written in the 1990s. So that's what we believe has been helping our, our progress so far. >> So you've worked with Macy's and Nordstrom and Williams-Sonoma, DSW. What do you think customers want? I mean, you're talking about beautiful applications, a user experience that is satisfying and easy. >> Well, it's funny that when we talk about things like this, I mean, I just mentioned beautiful user experience because customers want to enjoy the shopping experience. You know, Duncan mentioned it earlier on the main stage around next-generation applications are almost headless. You know, the next UI is AI. >> (laughs) >> Right, it's the, it's the UI that doesn't exist, and that's where our applications are going as well. Now it's about holding onto that data, that analytics, that science, and presenting that in a format that's an offer to our customer's customer. >> Speaking of AI, you're really the first cloud suite that is going to be able to take full advantage of Coleman, the new product to launch today. Tell our viewers a little bit more about how you anticipate using Coleman. >> Well, I could get into the whole, "Coleman, tell us to look up a promo, "Coleman, tell us about this price change," there's all those different types of technologies. We're exposing all the data, so anything can be accessible by Coleman around our analytics platform. And one thing that does differentiate us is, we don't view our systems as silos, so, our execution engine for core item merchandising and our omni-channel merchandising system, and our advance analytics and forecasting and planning and replenishment system, are built on one common stack, so that it's common whether it's analytics or execution, they're converged together, so it allows us to be able to take advantage of technologies like Coleman. >> So there was an article in the journal the other day talking about how Apple was actually behind in ... You'd use the example of Siri, anybody who's used Siri knows that it, maybe not quite as where we'd like it to be, and Google and Amazon have the data, and maybe that helps them sort of lead. What is your corpus of data, obviously GT Nexus is part of that, what, but you've got to have the data source, it's all about the data, what's your data corpus? >> I'll give you a real world use case, so two years ago, when we announced the Whole Foods project, one of the design principles that we definitely went forward with, was the whole concept of no, no hierarchies, unlimited attributing, unlimited information around item, because we want to take all that information and all that attributes associated with the item, and we want to load it up into our machine learning solution. >> So, very flat. >> Very flat. We want to load that up into our advanced machine learning in our data platform in the cloud, and we can make as many science recommendations against all that information that's aggregated. So, ah. That's one of our ways in which we differentiate as well. >> Okay, and then, the other thing is, when I look at your, and we saw Soma was presenting to the analysts yesterday and putting up some architecture slides and, there was a lot of AWS in there. It appears that you're heavily leveraging that Amazon, sort of innovation flywheel. How does that affect your business? >> Well, it's a sticky wicket, right? I mean, what we've learned from working with Amazon as well as AWS is they're distinct organizations and we spent a lot of time with AWS because they spend so much money, it's been a nuclear arms race over the last decade to see who could spend the most money to build the best infrastructure and plumbing, and there is a wall that segments the two from each other, but that doesn't preclude us from working with other clouds. There's other clouds that we can use from our customer. I mean, some of our customers have requirements around leveraging Microsoft or Google, and we're happy to work with those clouds, too. >> I want to talk a little bit about international expansion. You mentioned a new office in London and also a new one in New Zealand. London seems like an obvious destination, New Zealand, not as much. Can you just explain to our viewers a little bit about why those two places? >> Well, I think the first part of that is, it's English-speaking. >> Okay, fair enough, yes. >> It's a little bit easier with less translation requirements related to those markets, but what we really like about London, is it feels like they're catching our momentum that we had two years ago in North America, and the reception we've had in London has been insane. And I wish I could be in a position to announce all the recent wins that we've had in Europe, but there's going to be more to come as well, in announcements. >> Okay, so, what are you hearing here? A little over a year in, what are the customers here telling you? What they like, what they don't like, what they want. >> Well, I think what a lot of customers are asking for is, they want to see acceleration a road map. They believe in concepts like Coleman that we had mentioned this morning, they want to take advantage of that as quickly as possible. And for us, we can provide a prescriptive journey, and it doesn't need to be a big bang where you have to deploy this huge, monolithic system. I would love nothing more than to have all of your system, all of our customers and prospects take advantage of all of our systems, but the reality is, there's some legacy systems they don't want to touch, that's okay, that's fine, we can make SAP smarter by having the best analytics platform in the retail on the planet, we believe, you know. We can take advantage of that horizontal ERP that you're running by taking advantage of some of the burst functionality, where we can come in and start taking information out of different, disparate silos. So there's not just one way of digesting an experience with Infor. >> So a lot of the ways in which companies are competing with Amazon is obviously with data, utilizing data in new ways, personalizing the experience as you mentioned, Europe, Europe, you know, last year dropped a bomb called GDPR, and the whole privacy piece and it goes and, the penalties go into effect May of '18. How are you rethinking, privacy and data protection, in this new era? >> You know, the irony on this question is, two years ago, if you would have asked the same question, the onus would be on us to provide accessibility and provide proof that it's better to go with a cloud provider? The dialog has shifted to the point where, you know, we talked about it earlier today, we've got hundreds of people that are working in cloud ops, as opposed to our retailers that might have a handful that use it, so it's almost like the onus and the risk is on our retailers of not trusting a cloud provider, for that service. >> It's true, I mean, Amazon absorbs a lot of that risk for GDPR. So, then, how do the retailers think about data protection? I mean, they don't just wash their hands and say, "Okay, Amazon will take care of it." Are the discuss, are they more sort of, data protection brokers or strategists or? >> Well, I think it comes back to, there was some interesting behavior back in the mid-90s between a couple retailers and Amazon and, that's where a lot of the trepidation came from, of working with them, I keep harping back to, there is a pretty distinct line between AWS and Amazon, and what we find is, they don't even talk to each other. So if they're listening right now, they, that's probably, that's not a knock on them, that's actually congratulations that they are completely separate units, that we don't feel like there's any issues related to privacy or, the biggest concern isn't privacy, it's around having access to information around that SKU and that item and that price point. They don't want Amazon to be able to see that price point and suddenly offer up a promo based upon inside information. >> Okay, you know, sure, I buy that. I, you know, I think Amazon is pretty reputable in terms of that, that brick wall between the two companies, but specifically, I'm talking about personal information, and how that's protected, or just generally, security, well, I guess security again, the onus is on the cloud provider, but, are you, is that a board level discussion? Is that more of a wonk level discussion in IT or just? >> Over the last two years it's evolved to the point where it's not even a discussion point anymore. >> Because of the cloud. >> Because of the cloud, the cloud adoption as well as the standards that AWS has put in place, it's almost like they've created the industry standard for, to which others now compete with. >> Great. >> So. >> When you're thinking about the future of retail, is there a piece of advice that you could give to retailers? They're listening now, they're watching The Cube. Retailers who are fearful of a digital transformation, resistant to one, or know that they have to transform in this way but just can't quite seem to get over the hump. >> Well, every day I meet with a retailer, and it's the same sentiment. They understand and appreciate that if they don't adopt, they're dead. And it's really, it's really a grave situation, and the reality is, I think we're going to usher in a golden age of retailing, because, what's left behind is the old adage of, let's just expand and create more store space and more shelf space, and we'll just see our margins go higher and our revenues go higher. Those days are done, so they need to make the most they can out of the space that they have, and the reality is, any single store, it's almost like a node on the network, and I wanted to tell this story. So last night, I was boarding a plane and I realized my shoes were not packed. It's because I didn't have them, I left them in London last week, and the reality is, I'm not the best shopper when it comes to making these decisions. So I called my personal shopper at Nordstrom. She had all the information on me. She played it against her BI report on, these are the types of trends, style, color, class, and she came back and said, "Corey, "I'm going to purchase these for you." And I said, "Great, I'll pick them up "at your Nordstrom location in Manhattan." And she said, "Oops, it doesn't open until the spring." And I thought I was completely out of luck, and the reality is, she said "don't worry about it, "there's a distribution center not that far behind, "we'll ship it directly to your hotel." And guess what, lo and behold, this morning, my shoes were there. That's the type of modern retailing that all the non-Amazon, non-Walmart.com retailers can do to be successful. >> But it's not headless. I mean, there was a human being involved, yeah. >> There was a human being there, but we're working on next generation apps, specifically with Nordstrom too, to help them create that experience so we can eliminate the heroics and make that embedded into a new modern platform. >> I love it, I love it, I'm excited. >> Okay, but wait, wait, wait. Why couldn't Amazon replicate that with its AI and, you know, geniuses and alpha geeks? >> It's the human interaction. I don't want to just necessarily interact with a bot, on Amazon.com. I called my personal shopper live, and said, "This is what the situation is, can you solve it for me?" So then she took that back, she ran it through the calculations and came back and said, "Here's what you need and I'll ship it to you." >> Well, the other thing that I think about is the physical store. Some, like every time I buy sneakers on Amazon, they never fit, so, okay, so I want to go into DSW. I love DSW. >> (laughs) >> We do, too. >> It's, like, my favorite shoe store in the world, and of course my girls love it too, so. But so, there are many situations where you really actually want that physical, look and feel and touch. >> And think about what you just said, so with DSW, most of their customers are avid shoe shoppers and they love shoes. The differentiation between DSW and Amazon is that, I believe the numbers are pretty much 70% of North America's population is within 5 to 10 miles of a DSW. Think of that as competitive advantage, being able to buy online, pick it up in the store after work, there's no delay in shipping, that's really why Amazon's trying to get into the retail space with-- >> And by the same, unless Whole Foods starts-- >> There could be a drone! >> selling shoes ... (laughs) >> Or there could be a drone, that would deliver it to me in a couple hours. Anyway, but this is next year's Inforum. This is, these are all the themes. >> That's going to be amazing, to sit down with you and talk about this year after year. >> I know, we, at the golden age, it's soon to be upon us. Corey Tollefson, always a pleasure to sit down with you. Thanks so much for joining us. >> Thank you so much, appreciate it. >> Thanks for coming on. >> I'm Rebecca Knight for Dave Vellante, we will have our wrap just after this. (peppy techno music)

>> Announcer: Live from the Javits Center in New York City, it's The Cube, covering Inforum 2017. Brought to you by, Infor. >> Welcome back to Inforum 2017. I'm your host Rebecca Knight, along with my co-host Dave Vellante. We're joined by Marc Scibelli, he is the chief creative officer here at Infor. Thanks so much for returning to The Cube. >> Thanks for having me again, it's good to see you guys. >> So last year, the big announcement was H and L Digital, Hook and loop digital. Bring us up to speed, give us a status update of where you are now. >> Well we're a year later, I think what's really important is that we've established our application development framework, which allows us to rapidly deploy our prototypes, rapidly deploy the projects we're working on for a lot of customers. We've had a lot of wins over the last year. We're working closely with Brooklyn Sports, both the basketball team and the stadium and entertainment center. We're working with Travis Perkins, we're working with American Express. So we've got a lot of great client wins in our belt. We've learned a lot over the last year, but most importantly we've been able to actually fine tune our application development framework to bring that stuff to market very quickly for our customers, which has been a very big deal for us. >> So you mentioned a couple of client wins, Brooklyn Sports, let's unpack that a little bit, tell me a little about, tell our viewers specifically what's gone on. >> Yeah so, Brooklyn Nets basketball team here in the U.S., player performance a little bit down, so we're working with the performance coaches, we're working with the telemetric data that's coming out from the players. Things as it pertains to the arc of the ball throw, or the scale to models of how they perform or how much sleep they're getting. We're tying into a lot of IOT devices that the players use. We're bringing all that data into one place for the performance coaches and then allowing them to make better decisions on the field, on the court, in real time. So you'll see actually, behind you guys is our half court. We've actually set up a half court to show some of that data that we're bringing in about player performance. We actually run an NBA player assessment and show your player readiness, I hit like an eight percent readiness (Dave and Rebecca laugh) >> Rebecca: There's still time. >> Yeah five, eight I didn't think I was going to get very far in the NBA. >> High single digits. >> High, yeah, high, real high. So we're working a lot around player performance, certainly. And also with Brooklyn Sports Entertainment around the Barclay Center here in Brooklyn, how they can start to brand that experience. Nobody really has an affinity for an arena, you go and see Beyoncé or you go to watch the Nets. You don't really think about going to the Barclays Center, so how do you start as soon as they walk in the door, engaging with the customer using technology to drive all this value all the way through. How do you find the shortest beverage and bar line. How do you find the cleanest bathroom. How do you find, to get beverage and drinks and food delivered to your seat. That's all going to be technology that's going to drive that. A lot of our clients we've installed the digital backbone underpinning of that with our cloud suite. And now it's our job to commit a certain, creating these apps that differentiate them in the market place, help Barclays compete against other next-gen stadiums. >> So the Nets example it's similar to Moneyball but different, so he's talking the arc of the ball and so the remediation of some of those, the optimization of some of those, is just different training patterns or different exercises or drills that they could do. Whereas Moneyball it's like this unseen value, unbased percentage for example, are there analogs to Moneyball? Like I was listening to an interview with an owner the other day and the interviewer was beating him up about one player and he said well if you look at the deeper analytics, I'm like oh, deeper analytics what does that mean? So are there deeper analytics? >> Absolutely, you know we've left a lot of the basketball to the basketball professionals. When we started this thing the GM said to us, "Should we really get this started with" "you guys? What do you know about basketball?" We looked around and it was like an Englishman next to me and myself and we're like we don't know a lot about basketball but we hope that, that's what you're bringing to the table. We know a lot about how to bring the data science together, we can bring the AI in, we can bring all that together for your performance coaches and work with them Just like we didn't know a lot about farming and agriculture but we can work with feed companies to help them optimize for their customers. So it's not about what we knew about basketball but up to your point, those performance coaches are definitely finding those little nuggets of data to help those teams perform better. I couldn't tell you more off the top of my head cause that's how little I know about basketball. My eight percent performance rating will show you that, but they are looking inside that data and able to find that. And the trick is bringing it to them in real-time, bringing it so that they don't have to go into deep excel documents. That's what they were doing before. It was all stored in excel and they had to go through it and maybe somebody make a pivot table or something. >> Rebecca: Or watching play tapes. >> Or watching play, absolutely, of course. And by being able to assess all of that data too as well and bring that into the feed and be able to actually assess that and report it back into the larger system we're providing. It gives them a lot more visibility so they can find those little nuggets that they know as basketball professionals. >> And Burst is part of this solution? >> Not currently, no, but certainly we will be needing the Burst into that play, yeah. >> So Thomas Perkins is another example -- >> Marc: Travis Perkins. >> Travis Perkins, I'm sorry, that you mentioned. What kind of things are you doing there to make make that company able to really use data more wisely? >> So Travis Perkins, one of the largest building manufacturing supply company in the U.K. over 2000 distribution locations across England, very strong in its footprint. It's a really strong brand in terms of, sort of the Home Depot of the U.K. They put in M3 last year, it was a big announcement and it was a very large initiative for them and that's the digital backbone we talk about. So now it's our job we're coming in now we're automating a lot of their systems for their distribution centers so they get a better customer experience. So when I go into a Travis Perkins distribution center, I can get what I need much quicker so that's kind of the baseline thing that we come in and do. We look at ways to optimize for example if I could fah-bin with my truck and actually just pull my truck fah-bin, you know it's me, my order is ready. I don't need to get out of the truck, they pack my truck and I just drive out the other side. How do we create engagements for visibility models for the distribution managers to be able to see what's selling, what's not selling. Who's performing, who's not performing. Those are the things that we do as the baseline of the experience and then additionally to that, we look at new business models with them. So we're actually helping them think about new ways that they can create subscription models or ecosystem models. So, for example working on, they're working on the tool locker rental, setting up a,basically locker or rental facility, then using software to be able to access that locker and then you sort of create a subscription model to that. I'm able to just pull up, punch in a code, that's my tool locker, I get my tools right out of it and I can drive right off. And then doing it in places geographically that make a lot of sense for them. So that's kind of the best time, I think we get these signature experiences and optimize on top of the backbone, but then we create these whole new business transformation models of these companies, that's really exciting, really helpful. >> So retail's an interesting example everybody's got an amazon war-room trying figure out how to compete, where they can add value. What have you seen specifically in the retail business? >> I just moderated a panel with the CIO of DSW and the COO of Crate and Barrel on either side of me and it was exciting to see their, they feel a disruption but they're certainly eager to take it over. So, on the Crate and Barrel side we're seeing them be, really beat up by the Wayfairs of the world, three billion dollar valuation. They can get the market much quicker, they're running products in a much different way. Where Crate and Barrel has a much longer lead timer, the CPQ model. They've got to configure pricing, quoting, get it out. Takes 12 weeks to get a couch. How do you get, on the supply chain side, how do you get that shorter. So they're working with Infor to get that supply chain shorter. So they can compete on a shorter lead times but we're coming in to help them do is also look at how can you start to create experiences while you're waiting for that couch to be produced. Or while your shopping online what are things that you can do to know how long it'll take to get that item. And now that we just take all that digital backbone of that supply chain and create new experiences for it. On the DSW side we've been working really closely with them on point of sale as well as deep customer experience, apps for them with their employees. They really see their employees as the key tool to driving loyalty to their stores. So, we've been working on brand new apps in the mobile space that'll help their employees be able to serve their customers a lot better, have a much more tied loyalty program to their job performance with the customer's loyalty. So, a lot of great things there that we're working hard on. But certainly it's a massive behemoth of competing against amazon as a retailer. >> So what's your advice then for a company that is, and you're talking about companies that are already being very thoughtful and planful about this transformation, and understanding first of all that they need to transform, that they need to change or else they'll be left behind. So what's your advice for companies that are just starting on it? >> I think we kind of look at this as a holistic approach, we cannot take a little nibble bite-size out of the problem. So when it comes to digital looking at the entire ecosystem, looking at the operations, looking at the customers, looking at the employee. Saying what are we doing on our core backbone of the operations to make that run efficiently, to automate that. Let's do that, let's get that out of the way of all those people, let's make that run as quickly, as streamline as possible. Our cloud suite certainly help companies do that. And then, let's look at how we can start to transform the way they do their, they function inside their business by creating these functionally integrated models between all three. Between the operations, the customer and the employee. And let's create new experiences that live on top of that of that backbone that drive new value and until you do that, until you leverage your brand, like Crate and Barrel can leverage their brand if they just shorten that supply chain and start to optimize how they deliver. DSW can leverage their brand as a shoe warehouse if they provide a larger assortment and a better experience in-store, they can compete against amazon. So, to do that, we need them to, I would recommend companies, think of the approach holistically and not as a small little bites of just let's create this app and this one app is going to solve our problems. It's not, you got this much larger holistic approach you need to take. >> What percent of the Infor portfolio has Hook and Loop touched, affected? >> So, Hook and Loop core, certainly the GA products have touched everything. You'll see tomorrow on-stage Nunzio Esposito, our new head of Hook and Loop core. Who's running the business that when I first met you, I was running. They're doing very well and they've touched, I would say percentage-wise, 80% of the product if not more. Certainly their products are driving our business, like EAM, ACM financials, they have re-invented. And you'll see it tomorrow, they have done some incredible work. They just, they'll be releasing tomorrow, it's pretty exciting, a new UX for an entire cloud suite, so that pretty incredible. How Colman will be integrated into our cloud, it's a big deal so how do you create UX for that. And then certainly of course, how much UX and UY do you take away because you introduced Colman. You could take a lot of UX and UY away, a lot of functionality gets stripped away. So it's changed the methodologies we've used in the Hook and Loop core team but Ninzio has done a great job challenging himself to do that. >> Rebecca you were saying when you read the press releases around Infor they use terms like beautiful and so it's very apple-esque. Where do you get your inspiration? >> I think it's the consumer great products we talked about years ago when I first met you. The idea that how I function, like daily life at home, should echo how I function at work. Certainly now we're getting inspiration for how companies that are born digitally are creating these models that drive them. How we can help other companies do that as well. so, we're inspired by everything that touches us. To be honest , I still use my TEVO, I might be the only person left, (Dave and Rebecca laughing) That's not true they're doing very well >> I like the little sound effects of TEVO, I know what you mean. >> I can't say I'm the only person, but I'm probably the only person that'll admit it. That I love my TEVO. But these are things that I've watched them, not just change their UX like we did with Infor five years ago, but now they've changed their business model, they've changed what they've become as a hub and as a digital solution. How they used media channels to drive their business, I think that's incredible and it's a similar journey we're going on. So, there's a lot to be inspired by. >> Why should the consumer guys have all the fun? >> Marc: Yeah exactly. >> So how do you keep your team, you're the chief creative officer, so how do you, you talked about what inspires you and what inspires the company as a whole but how do you, keep a culture of creativity and innovation going? How do you keep the momentum? >> We've been really fortunate to have a really great support system by the executive team, Charles Phillips, Duncan Angove, certainly have been incredible about needing a team like Hook and Loop. When I met David it was 15 people maybe a little more, and now it's a 120 that run that core team. We launched H and L Digital last year, we were like nine people and now we're over 40. That investment, those dollars they put back into these kind of endeavors are really indicative of that . And I think that it comes through to the creatives and the people that we bring in that this is the kind of investments that Infor is interested in. We have a beautiful working environment inside New York City inside our headquarters. We have a beautiful new garage we just opened up, an innovation lab, we get to play with the greatest toys. I think we're actually very, very fortunate, to be inside a company like Infor and get to work with the people, we get to work with as designers, and as creatives. And that was an up hill slope to keep people motivated to do that as creatives and we call them left brain creators. I think we're there now, we turn away a lot of people to come work for us now. So it's pretty exciting. >> New York, London, Dubai, right? >> That's exactly right thank you, yeah. We are, we opened London just recently, we're opening Dubai next and we have two teams in New York. It's pretty exciting. >> Rebecca: Great. >> Love to see the Dubai. >> Yeah, Dubai is being built up right now, we have an office there already. >> could be the next destination, >> Cube Dubai. >> We should do a cube Dubai, that'd be great, they would love it there. >> Alright. >> I love it. Well Marc-- >> Put that on the list. >> Marc, thanks so much for joining us it's always a pleasure having you on the show. >> Thank you >> I'm Rebecca Knight for Dave Vellante we will have more from Inforum after this.