>> Live from Time Square in New York City, it's theCUBE, covering IBM's Change the Game, Winning with AI. (theCUBE theme music) Brought to you by IBM. >> Hello everybody, welcome back to theCUBE's special presentation. We're covering IBM's announcement. Changing the Game, Winning with AI is the theme of IBM. And IBM has these customer meet-ups, analyst meet-ups, partner meet-ups and they do this in conjunction with Strata every year. And theCUBE has been there covering 'em. I'm Dave Vellante with us is James Wade, who's the Director of Application Hosting at Guidewell, and Hemanth Manda, who's the Director of Platform Offerings at IBM. Gentlemen, welcome to theCUBE thanks for coming on. >> Thank you. >> Hemanth, let's start with you. Platform offerings. A lot of platforms inside of IBM. What do you mean platform offerings? Which one are you responsible for? >> Yeah, so IBM's data and analytics portfolio is pretty wide. It's close to six billion dollar business. And we have hundred plus products. What we are trying to do, is we're trying to basically build a platform through IBM Cloud Private for Data. Bring capabilities that cuts across our portfolio and build upon it. We also make it open. Support multiple clouds and support other partners who wants to run on the platform. So that's what I'm leading. >> Okay, great and we'll come back and talk about that. But James, tell us more about Guidewell. Where are you guys based? What'd you do and what's your role? >> Guidewell is the largest insurer in the sate of Florida. We have about six and a half million members. We also do about 38, 39% of the government processing for MediCare, MediCaid claims. Very large payer. We've also recently moved in over the provider space. We actually have clinics throughout the state of Florida where our members can go in and actually get services there. So we're actually morphing as a company, away from just an insurance company, really to a healthcare company. Very exciting time to be there. We've doubled in size in the last six years from a six billion dollar company to a, I mean from an eight billion dollar company to an 18 billion dollar company. >> So both health insurer and provider, bringing those two worlds together. And the thinking there is just more efficient, you'd be able to drive efficiencies obviously out of your business, right? >> Yup, yes. I mean, the ultimate goal for us is just to have better health outcomes for our members. And the way you deliver that is, one, you do the insurance right, you do it well. You make sure that their processed and handled properly, that they're getting all the services that they need. But two, from a provider space, how do you take the information that you have about your members and use them in a provider space to make sure they're getting the right prescriptions at the right time, for the right situations that they're having, whatever's going on in their life. >> And keeping cost down. I mean, there's a lot of finger pointing in the industry. If you bring those two areas together, you know, now they got a single throat to choke, >> That's right, we get that too. (laughing) >> Buck stops with you. Okay, and you're responsible for the entire application portfolio across the insurance and the clinical side? >> Yes, I have, you know, be it both sides, we have Guidewell as the holding company, we have multiple companies underneath it. So all of those companies roll up into a single kind of IT infrastructure. And I manage that for them, for the entire company. >> Okay. Talk about the big drivers in you business. Obviously on the insurance side, it's the claims system is the life blood, the agency system to deal with, the channel. And now of course, you've got the clinical thing to worry about, but so, talk about sort of the drivers of your business and what's changing. >> Right, I mean, the biggest change we've had, obviously in last few years, has been the Affordable Care Act. It changed the way that, you know, from a group policy where if you're a big corporation and you work for a big corporation, that company actually buys insurance for you and provides it to their employees. Well now the individual market has grown significantly. We're still a group policy insurance company, don't get me wrong, we have a great portfolio of companies that we work with, but we also now sell directly to individuals. So they're in the consumer space directly. And that's just a different way of interacting with folks. You have to have sales sites. You have to have websites that are up, where folks can come and browse your products. You have to interface with government websites. Like CMS has their site where they set up and you're able to buy products through that. So it's really changed our marketing and sales channels completely. And on the back side, the volume of growth, I mean, with the new individual insurance market we've grown in size significantly in our number of members. And that's really stressed our IT systems, it's stressed our database environment. And it's really stressed our ability to kind of analyze the thing that we're doing. And make sure that we're processing claims efficiently and making sure that the members are getting what they expect from us. So, the velocity and change in size has really stressed us. >> Yeah, so you got the Affordable Care Act and some uncertainties around that, the regulations around that. You've got things like EMR and meaningful use that you got to worry about. So a lot of complexity in the application portfolio. And Hemanth, I imagine this is not a unique discussion that you have with some of your insurance clients and healthcare folks, although, you guys are a little different in that you're bringing those two worlds together. But your thoughts on what you're seeing the marketplace. >> Yeah, so I mean, this is not unique because the data is exploding and there are multiple data sources spread across multiple clouds. So in terms of trying to get a sense of where the data is, how to actually start leveraging it, how to govern it, how to analyze it, is a problem that is across all industry verticals. And especially as we are going through digital transformation right, trying to leverage and monetize your data becomes even more important. So. >> Yeah, so, well let's talk a little bit about the data. So your data, like a lot of companies, you must have a lot of data silos. And we have said on theCUBE a lot, that the innovation engine in the future is data. Applying machine intelligence to that data. Using cloud models, whether that cloud is in a private cloud or a public cloud or now even at the edge. But having a cloud-like experience for scale and agility is critical. So, that seems to be the innovation, whereas, last 20, 30 years the innovation has been you know kind of Moore's Law and being able to get the latest and greatest systems, so I can get data out of my data warehouse faster. So change in the innovation engine driven by data what are you seeing James? >> I mean, absolutely. Again, we go back to the mission of the company. It's to provide better health outcomes for our members, right. And IT, and using the data that we collect more effectively and efficiently, allows us to do that. I mean we, if you take, you know, across the board, you may have four or five doctors that you're working with and they've prescribed multiple things to you, but they're not talking. They have no idea what your other doctor is doing with you, unless you tell 'em and a lot of people forget. So just as an example, we would know as the payer, what you've been prescribed, what you've been using for multiple years. If we see something, using AI, machine learning, that you've just been prescribed is going to have a detrimental impact to something else that you're doing, we can alert you. We can send you SMS messages, we can send you emails, we could alert your doctors. Just to say, hey this could be a problem and it could cause a prescription collision and you can end up in the hospital or worse. And that's just one example of the things that we look at everyday to try to better the outcome for our members. But, you know, that's just the first layer. What else can you do with that? Are there predictive medicines? Are there things we could alert your doctors to, that we're seeing from other places, or populations, that kind of match, you know, your current, you know, kind of what you look like, what you do, what you think, what you're using. All the information we have about you, can we predict health outcomes down the future and let your doctors know? So, exciting time to be in this industry. >> Let's talk about the application architecture to support that outcome, because you know, you're not starting from a green field. You probably got some Cobalt running and it works, you can't mess with that stuff. And traditionally you built, especially in a regulated industry, you're building applications that are hardened. And as I said you have this data silo that really, you know, it's like, it works, don't touch it. How much of a challenge is it for you to enter this sort of new era? And how are you getting there? I'd like to understand, IBM's role as well. >> Well we, it's very challenging, number one. You have your, I don't want to call it legacy 'cause that makes it sound bad, but you do have kind of your legacy environments where we're collecting the information. It's kind of like the silos that have gathered the information, the sales information, the claims information, that type of stuff. But those may not be the best systems currently, to actually do the processing and the data analysis and having the machine learning run against it. So we have, you know, really complex ETL, you know, moving data from our kind of legacy environments in to these newer open source models that you guys support with, you know, IBM Cloud Private for Data. But basically, moving into these open source areas where we can kind of focus our tools on it and learn from that data. So that, you know, having your legacy environment and moving it to the new environment where you can do this processing, has been a challenge. I mean the velocity of change in the new environment, the types of databases that are out there Hadoop and then the products that you guys have that run through the information, that's one of the bigger challenges that we have. Our company is very supportive of IT, they give us plenty of budget, they give us plenty of resources. But even with all of the support that we get, the velocity of change in the new environment, in the AI space and the machine learning, is very difficult to keep up with. >> Yeah and you can't just stop doing what your doing in the existing environment, you still got to make changes to it. You got regulatory, you got hippo stuff that you've got to deal with. So you can't just freeze your code there. So, are things like containers and, you know, cloud native techniques coming into play? >> Absolutely, absolutely. We're developing all, you know, we kind of drew a line in the sand, our CIO about two years ago, line in the sand, everything that we develop now is in our cloud-first strategy. That doesn't necessarily mean it's going to go into the external cloud. We have an internal cloud that we have. And we have a very large power environment at Guidewell. Our mainframe is still sort of a cloud-like infrastructure. So, we developed it to be cloud native, cloud-first. And then if it, you know, more than likely stays in our four walls, but there's also the option that we can move it out. Move it to various clouds that are out there. As an IBM Cloud, Amazon, Microsoft, Google, any of those clouds. So we're developing with a cloud-first strategy all of the new things. Now, like you said, the legacy side, we have to maintain. I mean, still the majority of our business is processing claims for our members, right, and that's still in that kind of legacy environment. Runs on a mainframe in the power environment today. So we have to keep it up and running as well. >> How large of organization are you, head count wise? >> We have about 2,100 IT people at Guidewell. Probably a 17,000 person organization. So there is a significant percentage of the population of our employees that are IT directly. >> I was at a, right 'cause it is a IT heavy business, always has been. I was at a conference recently and they threw out a stat that the average organization has eight clouds. And I said, "we're like a 60 person company "and we have eight clouds." I mean you must have 8,000 clouds. (laughing) Imagine when you through in the SAS and so forth. But, you mentioned a number of other clouds. You mentioned IBM Cloud and some others. So, it's a multi-cloud world. >> Yes, yes. >> Okay, so I'm interested in how IBM is approaching that, right. You're not just saying, okay, IBM Cloud or nothing, I think, you know. And cloud is defined on-prem, off-prem, maybe now at the edge, your thoughts. >> Yeah, so, absolutely, I think that is our strategy. We would like to support all the clouds out there, we don't want to discriminate one versus the other. We do have our own public cloud, but what our strategy is, to support our products and platforms on any cloud. For example, IBM Cloud Private for Data, it can run in the data center, it can provide the benefits of the cloud within your firewall. But if you want to deploy it on any other public cloud infrastructures, such as Amazon or Red Hat OpenStack, we do support it. We are also looking to expand that support to Microsoft and Google in the future. So we are going forward with the multi-cloud strategy. Also, if you look at IBM's strength, right, we have significant on-premise business, right, that's our strength. So we want to basically start with enterprise-out. So by focusing on private cloud, and making sure that customers can actually move their offerings and products to private cloud, we are essentially providing a path for our customers and clients to move cloud, embrace cloud. So that's been our approach. >> So James, I'm interested in how you guys look at cloud-first. When you say cloud-first, first of all, I'm hearing, it's not about where it goes, it's about the experience. So we're going to bring the cloud model to the data, wherever the data lives. It's in the public cloud, of course it's cloud. If we bring it on-prem, we want a cloud-like experience. How do you guys looks at that cloud-like experience? Is it utility pricing, is it defined in sort of agility terms? Maybe you could elaborate. >> Actually, we're trying to go with the agility piece first, right. The hardest thing right now is to keep up with the pace that customers demand. I mean, you know, my boss Paul Stallings always talks about, you know, consumer-grade is now the industrial strength. Now you go home at night, your network at home is very fast to your PC. Your phone, you just hit an app, you always expect it to work. Well, we have to be able to provide that same level of support and reliability in the applications we're deploying inside of our infrastructure. So, to do that, you have to be fast, you have to be agile. And our cloud-first being, how do you get things to market faster, right. So you can build service faster build out your networks faster and build you databases faster. Already have like defined sizes, click a button and it's there. On-demand infrastructure, much like they do in the public loud, We want to have that internally. But second, and our finance department would tell you, is that, you know, most important is the utility piece. So once you can define these individuals modules that you can hit a button and immediately spin up and instantiate, you should be able to figure out what that cost the company. How do you define what a server cost? Total cost of ownership through the lifetime that server is for the company. Because if we can lower thar cost, if we can do these things very well, automate 'em, get the data where it needs to be, spin up quickly, we can reduce our administrative cost and then pass those savings right back to our members. You know, if we can find a way to save your grandmother $20 a month off her health insurance, that can make a lot of difference in a person's life, right. Just by cutting our cost on the IT side, we can deliver savings back to the company. And that's very key to us. >> And in terms of sort of what goes where, I guess it's a function of the physics, right, if there's latencies involved, the economics, which you mentioned are critical obviously in your business. And I guess the laws, you know, the edicts of the government-- >> Yes and the various contracts that you sign with companies. I mean, there's some companies that we deal with it in the state of Florida that want their data to stay in that sate of Florida. Well if you move it out to a various cloud provider, you don't know which data center that it's in. So you have to go, there's the laws and regulations based on your contracts. But you're exactly right. It's what have you signed up for, what've you agreed to, what are your member comfortable with as to where the data can actually go? >> How does IBM help Guidewell and other companies sort of mange through that complexity? >> Yeah, absolutely. So I think, in addition to what James mentioned, right, it's also about agility. Because for example, if you look at insurance applications, there's a specific time period where you probably would expect 10x of load, right. So you should be able to easily scale up and down. And also, as you're changing your business model, if you have new laws, or if you want to go after new businesses, you should be able to easily embrace that, right. So cloud provides sort of flexibility and elasticity and also the agility. So that's one. The other thing that you mentioned around regulation, especially in healthcare and also too with financial services industry. So what we're trying to do is, on our platform, we would like to actually have industry-specific accelerators. We've been working with fortune 500 companies for the last 30, 40 years. So we've gained a depth of knowledge that we currently have within our company. So we want to basically start exposing the accelerators. And this is on our roadmap and will be available fairly quickly. So that's one approach we're taking. The other approach we're taking is, we're also working with our business partners and technology partners because we do believe, in today's world, you cannot go after an opportunity all by yourself. You need to build an ecosystem and that's what we're doing. We're trying to work with, basically, specialty vendors who might be focused on that particular vertical, who can bring the depth in knowledge that we might not be having. And work with them and team up, so that they can build their solutions on top of the platform. So that's another approach that we're taking. >> So I got to ask you, I always ask this question of customers. Why IBM? >> I mean, this, you guys have been a part of our business for so long. You have very detailed sales guys that are embed really with our IT folks. You understand our systems. You understand what we do, when we do it, why we do it. You understand our business cycle. IBM really invests in their customers and understanding what they're doing, what they need to be done. And quite honestly, you guys bring some ideas to the table we haven't even thought of. You have such a breadth of understanding, and you're dealing with so many other companies, you'll see things out there that could be a nugget that we could use. And IBM's never shied of bringing that to us. Just a history and a legacy of really bringing innovative solutions to us to really help our business. And very companies out there really get to know a company's business, as well as IBM does. >> Hemanth I'll give you the last word. We got Change the Game, Winning with AI tonight You go to IBM.com/winwithAI and register there. I just did, I'm part of the analyst program. So, Hemanth, last word for you. >> Yeah, so, I think the world is changing really fast and unless enterprises embrace cloud and embrace artificial intelligence and cloud base their data to monetize new business models, it very hard to compete. Like, digital transformation is impacting every industry vertical, including IBM. So, I think going after this opportunistically is critical. And IBM Cloud Private for Data, the platform provides this. And please join us today, it's going to be a great event. And I look forward to meeting you guys, thank you. >> Awesome, and definitely agree. It's all about your digital meets data, applying machine intelligence, machine learning, AI, to that data. Being able to run it in a cloud-like model so you can scale, you can be fast. That's the innovation sandwich for the future. It's not just about the speed of the processor, or the size of the disk drive, or the flash or whatever is. It's really about that combination. theCUBE bringing you all the intelligence we can find. You're watching CUBE NYC. We'll be right back right after this short break. (theCUBE theme music)

(upbeat music) >> Announcer: Live from New Orleans, Louisiana, It's theCUBE, covering .NEXT Conference 2018. Brought to you by Nutanix. >> Welcome back. We're here in New Orleans, Louisiana. I'm Stu Miniman with my co-host Keith Townsend. And we're thrilled to welcome to the program, two N users here at the show. We have Sharon Haris, who is the CTO of Assulta Medical Centers out of Israel. I also have Paul Stallings, he's the Vice President of IT infrastructure services, Guidewell with Florida Blue. Gentlemen, thanks so much for joining us. >> Thanks for having us. >> Alright, Paul let's start with you. Just give us a little bit about your role and your organization. >> Sure, I work for Guidewell. We're a health solutions company. We started out as an insurance company, primarily. Now we've moved to a solutions. So, we are the provider side and the payer side. I run IT infrastructure services, which is the shared services among five different companies under the Guidewell brand. >> Great and Sharon? >> Assulta Medical Centers is the largest chain of private hospitals in Israel. We have four hospitals and four clinics spreading across the country from North to South. We are connecting about one million radiology tests and examinations per year, and about 15% of the in-house surgeries in Israel. >> Yeah, well luckily both of you, in your industries, my usual joke is, nothing's changing. You have huge budgets. (laughing) Unlimited staff. And no challenges. >> Sharon: At all. >> Paul, before we get into the Nutanix solutions of course you're using, tell us about some of the drivers for change in your business, your work. You know, some of the challenges and opportunities you're facing. >> Yeah, sure. We are really in a growth mode in our organization. In the last six years, we've actually grown to these five companies. We went from an eight billion dollar company to a $16 billion company. We're in a huge trajectory and transformation is the key. And we have to have high availability. We have to be able to meet our customer's needs. We have to be able to scale and be agile. And that's thrown at me every day. >> Stu: Sharon? >> Yeah, now we're in the healthcare industry. We have both ends. On one end, we have to maintain stability and performance and redundancy. Because we are working 24-7, 365 days a year. And on the other end, we must be innovative in innovation, and make everything for our user and customers very available, very approachable, because users don't want to come to our clinics and hospitals. They want to do everything from home. So, as much as we can, we are giving them the opportunity to do it. >> Stu: Yeah, digitization. >> So, Paul that's amazing growth, eight billion to 16 billion. Whether it's organic, inorganic. That's a major shift in capability. What have been some of the primary challenges from a technology perspective as you guys have gone through that major growth period. >> Yeah, I think the velocity is one of the biggest challenges for us. Being able to grow, we really need solutions that we can really want to modually grow, want pay to grow and scale better. It's really hard when you have that much growth to do the legacy where you think about, in the next three years I need this much capacity, because it's unpredictable because the growth is so fast. If that makes sense. >> Yeah, it's impossible to forecast. >> Right, absolutely. >> It's impossible. >> I had a CIO that tells me the data costs are getting out of control. I say, you know what? As long as the data is growing, that means that the business is growing. >> Paul: Absolutely. >> So, hard drives are definitely the thing that you want to buy. So, as you both deal with growth, stability, capability challenges, What appeals about the Nutanix story to you? >> I think one of the things that I just mentioned. That pay to grow opportunity is huge for us. The simplicity is huge. The availability and really trying to get to automation. I really have to do more with less. We're growing so fast, I can't even onboard folks fast enough. So, I think that simplicity, that automation and that pay to grow model is great for us. >> So, we're in the digital era. So we need to supply our users once again, as I said before, digital application. And to be able to execute those needs very quickly. And we're looking towards the cloud. And you can't really have public cloud readiness in services, unless you have private cloud readiness in services. So, Nutanix for me is the best solution for automation, as Paul said. And to begin the process to achieve the collection between private and public cloud. >> That's an interesting point. Could you expand on that? What do you mean by, what does private cloud mean to you? And most customers you hear, oh, we're doing some development. We're trying some new products in the public cloud. You flipped that some. >> Yeah, I spoke here yesterday in one of the session. And I ask the audience, how much time it takes to fire up a ritual machine from a template? And the answer was like between half and hour and one hour. I thought, one hour, that's cool. And how much time it takes for you to take this machine and join it to the CRM or the SharePoint or the Epic or the SAP farm? And the answer was about a week. So, where did seven days go? Why is the gap so huge between one hour and a week? And the answer is because the lack of automation. For me, the public cloud is exactly like, sorry, private cloud is exactly like public cloud. The same services, the same abilities to execute and generate services level. Not server level, because server level would be Dell. Like if you, 10 or 15 years ago, we are already there. Services level is the same ability that we have in the public level. >> Paul, I would love to hear your comments on how Cloud fits into your environment. >> Yeah, absolutely. 'Cause we're in the health industry, private cloud is paramount. But we really need the hybrid because we want to be able to burst and scale and have that agility. But to a lot of things that Sharon said, I do need that automation, I do need the scaleability, but I definitely need some commonality on my stacks. I have a shared services. I have to build a scale. I have to be able to have best prices. I need to be able to compete and collaborate with the private and public sectors. >> So, let's talk about some of the services that Nutanix offers. First let's start in the private cloud. A lot of great announcements. One of the things that, I have actually from Nutanix, I've heard about them is basically what they're delivering in AFF. I'm sorry, AFS, a foul services solution. Are you guys using any of those foul or type solutions within your own environment? >> No yet, we are not using the foul solution in biomechanics, but we're using the other services such as the big data verification with the Cloud data, because we are using, actually, a built environment for our new research development company that we signed in, big data, cloud data, dupe and in line, and we did it very quickly, and stability-wise and performance-wise, and file services-wise, because it's big data, you know? It's a different kind of perception over there, and Nutanix gives us very quickly a deployment and services that we needed for this project. >> Could you just expand on that? When you say it was a fast deployment, you know, days? >> Yeah, our CEO signed the contract with this company and said, okay, I want it to be ready in like, two weeks from now. And then I thought, okay I can do it traditionally, and it would probably take me a month, or even more, and I can do it with Nutanix, and Nutanix wasn't ready in this time, with Cloud Data verification. Nutanix promised me that they would support me 100%, I got a letter from the VP of R&D of Nutanix, that they would support me, and they would get the certification. Now, most of the vendors that want to sell you something they say, "yeah, we'll get it, no worries", and they deliver. First of all, they give us full support, in the duration of the implementation of the environment. And, they did get the certification a few months later. So, performance-wise, we did the test, so I know that it works. We've duplicated the Cloud there, by the way, when there was performance issues, it was, Cloud Data fine-tuned what we need to do. It wasn't Nutanix' at all. Really, I really like this product, but they really deliver, so, performance-wise, execution-wise, and stability. >> We met the deadline that your-- >> I met the deadline, the medical staff is behind schedule, but I did my part. >> So Paul, what are any, is there any particular service that you use within the Nutanix Private Cloud that you want to talk about? >> Well, we're pretty new to the Nutanix suite of services, but one thing that's unique about our organization is we're one of the first to not do x86, but do power systems as well. So, we wanted that one pane of glass, one cloud management system that we can actually do all of our workloads. So we really just, we started x86 but we just recently got our power infrastructure up and running, about 100 nodes, and that's working well as well. And we're happy to have both sides of the fence, and really look at all our workload through that single pane of glass. >> Great, can you tell me what workload are you running on that, and do you have any AIX that you might look to put on that, now that that's going to be supported? >> Yeah, so we're really now starting to look at things with Kubernetes, then we've started putting our open enrollment applications on, because that's really our season now, right? It's kind of our busiest timeframe, when I have the highest availability, I have to be able to scale, and want to have zero downtimes. So, that one click, we love those kind of capabilities, and that's really helping us with our new applications for open enrollment. >> So, let's talk about Nutanix' vision. You both are cloud-forward thinking organizations, as you look at Zy, as you look at integration of calm with the major cloud providers, what are your initial thoughts? >> I think that, you know, I think that Zy's really interesting, where I can have those recovery options. You know, I really think we really got to move infrastructure to resiliency, and make sure it's resilient, but it's always nice to have that backup and be able to click over very quickly, as opposed to traditional recovery model where you back it up and you have to restore it. We don't want to restore. We want to be able to bring that back up and have that high availability. So I'm really interested in the Zy piece. >> Yeah, and we got the budget for the DR this year. And, we needed to take into consideration the best DR module for Assulta. Now, to be honest with you, if a regulation would allow us, I wouldn't think twice. But this is a variable that I need to check with my legal department, but technology-wise Zy is a amazing solution. In terms of cloud as a centerfold, I believe that there is no other option. There's no other option but to build your private and move it towards public cloud services. By the way, the main barrier for me is the human barrier. Because we need to train our personnel, we need to change the way they think, we need to combine between system guys and networking, and security guys, because now it's one box. So it's quite the challenge, but Nutanix makes a difference. >> Alright, it's the first time for both of you attending this show, Paul, start with you, if you can tell us what brought you to the show, what you're hoping to accomplish, what you've learned so far, general experiences here. >> Yeah, so you know, Nutanix is really helping us build out our private cloud. We definitely know that even though healthcare has a lot of regulatory requirements, we don't want to do full public, we know we're going to have to start moving more and more into the cloudspace. So, we know there's different cloud players out there, but we want to have that mobility of our workloads and move them in and out, and move them back to our environment, and move them from cloud provider to cloud provider and I've definitely started hearing about a lot of the services that Nutanix provides, that it enables those kind of solutions, and I want to learn more about those. >> For me, Nutanix is bringing to the table new ideas, new perception, and the most important thing that they gave us, giving us things that we need. And you talked about Zy, you talked about Com, there's been a new concept and they are always moving ahead and they bring the market to chase them. If I could say this way. And for me, the most important thing is that everything is posted in one box, and able to do it very simple by automation processes. >> So one question around people, you're growing at, doubling the organization, as you go out and look for staff to augment your existing staff, and innovate the change, how does Nutanix help or hinder in the hiring process? Like, onboarding new employees, you said onboarding is a challenge, onboarding and training, commentary around that? >> Yeah, so, you know, people are our most precious assets, right? And, when you hire new, you want to get the best people you can get, right? So, I think that we definitely tried to identify folks that have the type of aptitude we need. We're not always able to find the folks that are skilled with all the solutions we need, because cloud is so diverse, and converge is so diverse with the stacks, but we actually are doing a better job with finding the right talent, or training the ones that we have up, and to prepare and give the training to the new folk that are coming through the door. But our onboarding is definitely an opportunity for us, and I think we'll be able to scale a little bit better with onboarding as we look at automation, automation is going to be the key to getting folks onboarded faster. >> So Sharon, what about you? How has Nutanix helped with your, not necessarily onboarding, because growth is not necessarily changed, but people change. >> Yeah, people change. And the market has changed as well. And people must understand, that they should embrace the change. Even I change each and every day. I learn new things, I implement new things, I dare and I challenge my organization, and I have to convince my finance and my CIO and my CEO that this technology, whether Nutanix or other technology, is the right technology for our organization. Now, Nutanix is helping us in terms of innovation because of the fact that we're beginning to sign contracts with startups. And, we have to build them labs, and combine them with our production environment but do it very smartly, in a sophisticated way. So, Nutanix with the microsegmentation and other features that they are having is very helpful for us in this area, as well. >> Last thing I wanted to ask: lessons learned. You're relatively new in this space, but always things that you look back and say, "What could I have done better", "What I wish I knew a little better", Paul, start with you as to talking with your peers, what would you recommend to them, and what changes might they make? >> You know, I think we're so new into it, we don't have a lot of lessons learned yet, because we're just really going into production with a lot of the systems that we have, especially on the AIXI and the power side, but I do think that we are doing a debrief, probably coming up in the next 30 days to really identify if there are opportunities that we could probably do differently. Now, I will say that I do want to look at the whole private cloud to public cloud opportunities and really understand what those challenges are, because I think from an application perspective, that we don't always build applications that we plan to bring back. So, I need to really partner with my development shops, that when they build applications, how do we make sure that we can bring those workloads back, and I want to understand some of those cost models. >> That's awesome. >> I would say choosing the right use case and to prepare for the implementation, plan as much as you can, because those things will make or break if you're a beginner. If you're already accustomed to things, you know what to do. But if you're a beginner, those things are very important and combined with a good or very good integrator because, once again, if you want to succeed in this project, because it's not a project, it's not that service that we install. If you go with this method, then you didn't learn anything. So, if you want to get the best out of Nutanix, and thanks, to offer a lot of services we discussed, you should do it. >> Alright, Sharon and Paul, thank you so much for sharing your stories. For Keith Townsend and Stu Miniman, we always love to talk to all the users here, and I'm glad to be able to bring them to you, thanks so much for watching theCUBE. (upbeat music)