Mayumi Hiramatsu, Infor | Inforum DC 2018
>> Live from Washington, D.C., it's theCUBE. Covering Inforum DC 2018. Brought to you by Infor. >> Good afternoon and welcome back to Inforum 2018. Our coverage here on theCUBE as we start to wrap up our two days of coverage here at the show. We're in Washington, D.C. at the Walter Washington Convention Center, along with Dave Vellante, John Walls here. We're joined now by Mayumi Hiramatsu, who is the SVP of Cloud Operations Engineering and Security at Infor. Mayumi, how are you doing? >> Great to be here, thanks for coming. >> And a recent honoree by the way, Woman of the Year at the Women in IT Awards, so congratulations on that. (clapping) >> Awesome! >> Thank you. >> Very nice honor. >> Great. >> Tell us... big picture here, cloud strategy as far as Infor is concerned and why that separates you from the pack. What makes that stand out, you think, from your peers? >> I think there are a couple of things. One is that when I think of cloud, a lot of people will think about cloud as, it's a software running in the cloud, but it's more than that. It's about the solution and the capabilities that we're building on the cloud. And Infor is perfect, in that we're building enterprise software solutions. So if you look at Infor and compare us to the competition, we may have multiple of competition wrapped together in a solution. And that's really powerful, and you can only do that, really well, in the cloud because it's already built for that. It's integrated and the power of data is really amazing, because when you think about cloud, it's not just the software, it's the data, what you can do with it. And with the latest technologies around artificial intelligence and machine learning, there is so much insight we can give to our enterprise customers to make them successful in their business. So, I think of cloud as not only the technology, which I love, because I'm actually an engineer, but it's really the business transformation, digital transformation that the cloud enables, with the technologies like artificial intelligence, data analytics, data science, machine learning. There's just so much bolted on, that you can really only do in the cloud. >> Can you help us understand that competitive nuance? >> Yeah. >> I'm not sure I fully understand, 'cause others will say, well, we have cloud too. What's different between the way in which you provide solutions in the cloud and... pick a company. >> Yeah. >> Another company says, we have cloud, all of our SaaS is in the cloud. >> Right, so I think the first thing is, Infor's always focused on solutions, which means that our competition may have one of, let's say, a dozen things that we put together. So, if you're using our competition, they may have a cloud and some of them were born in the cloud, but then you have to figure out, how do I integrate it with the rest of the world? Because if you think about it, ERP. It's running your business. And it might be your HR and about your employees. It might be CRM and customer information. It could be supply chain and figuring out what parts I need to buy. It could be billing and figuring out how do I bill my customers. All these different solutions today, if you look at our competition, they may solve one, two, three different portions, but certainly not a dozen of these all together and then tailored towards the industry. So, we can pretty much bolt on and get started pretty quickly, if you think about, for example, healthcare. We already have a healthcare solution ready to go, so you don't have to figure out how do I put 12, 15 different software, glue it together and make it work? And maybe some of it is running in the cloud, maybe some of it is not running in the cloud, then the integration and making it work gets really complex. But ours is already pre-built, ready for that, whether it's healthcare, manufacturing, food & beverage, fashion. We have a lot of these already ready to go, so then you just have to customize it, as opposed to starting from scratch, figuring out how to integrate all these different software, making sure they work together and then harnessing the data, and then adding all these different, artificial intelligence and machine learning capabilities that is so powerful today. You can't do that without the cloud and you certainly can't do it if you're trying to glue together different solutions. It's just really not easy. And I'll add one more thing, I was talking to a customer about this today, which I thought was brilliant. The other thing is security. Most people worry about security in the cloud and I run our security as well, the Chief Information Security Officer reports in to me and the whole security team does. And I can tell you, if you're combining 12, 15 different types of software and trying to have consistent security all across? Oh, that's a very difficult thing to do. But we've already figured it out. So all you have to do is buy the package, the solution, it' already working together. You already have security overlay on it. They have consistency in terms of how we manage the security, whether it's single sign-on and who has access, and making sure that that gets all the way through, all the way up to the data lake, where all of the data gets captured, all the way up to the artificial intelligence. So, if you think about security and how important that is, and how difficult it might be to do on one software, let alone a dozen software, the fact that we've already built that, is a big differentiator. >> So it's all there, and when you talked about, all you have to do is customize it, you're talking about, you're not talking about hardcore coding, you're talking about things like naming and setting it up. Is that right? >> Yeah, and-- >> Or are you talking about deeper levels of custom mods? >> In our multi-tenant cloud, we don't do mods, but instead, we have extensions. And extensibility is really important because now those are, again, essentially plug-and-play. We already built it for you, so it's so much easier than creating each piece of code every single time. Again, it's about, how do you make sure that you can integrate these very important sets of business processes together. Not only how quickly can you use it, how secure is it? And ensuring that you can actually focus on your business value, right, because trying to assemble all of this together and making it work, it's an enormous amount of work and I think, as an enterprise, you want to focus on actually giving customer value instead of trying to figure out, the mechanics underneath the hood. >> I mean, you certainly get the value of cloud software, right, and cloud ERP. Who doesn't? Like out of the industries that you're trying to, get in front of or whose attention you're trying to get. Where's the, if there's someone that's kicking and screaming a little bit, who might that be or what might that be? >> I don't think that there's a specific industry, if you will, I think some industries, in fact, and when I think about it, all industries are getting disrupted, right? If they don't, they're actually getting left behind. So, I think some industries feel it more, as in, they might be behind the curve. And I wouldn't necessarily say industry, maybe some of the companies in that industry. >> Companies within? >> Yeah, are waking up to it. I went to a Gartner Supply Chain Conference a couple years ago and they were talking about bimodal supply chain, right. You have the teams that are doing the old way and then companies that are doing the new way. And companies are literally going through this shift. And I had this interesting conversation that it's really not bimodal. Companies are essentially somewhere in that spectrum and what they need to do is figure out from point A to point B and how you make that transition. It's a huge transition. I would also say that there's a cultural element as well, and so one of the key things that, especially for companies that are moving from on-prem to cloud. As a provider, it's really important to realize it's a completely different business model. And it's not always talked about, again, a lot of times people think, oh well, you know, Infor, you just moved the software into AWS and you're calling it SaaS. It's more than that. Besides the capabilities, its a huge cultural shift that even Charles talked about on-stage, which is that, software companies you focus on the product, versus, as a SaaS, the last 'S', Software as a Service, you are focusing on the service. So, the analogy I use a lot is, maybe we were actually a food company, we'd build beautiful food, delicious food, nutritious food, maybe it was a rotisserie chicken, right? But now I switch to a restaurant. Food is only table stakes. And you know, restaurant reviews is about services, the ambiance, how quickly you respond, how clean it is, all these other elements matter. And if you think about Infor or any other company for that matter, that we're focused on product and software, to then becoming a SaaS service provider, it's a huge transformation for a company, and I can tell you we're going through that, right? Infor as an on-prem company moving to the SaaS, and there's so much focus now on customer experience, is because realizing that we're no longer a software company, we're a Software as a Service company. And there's a lot more we need to put in, in terms of making sure the customer experience is good. As our customers go through the same journey, they also need to realize, it's no longer about providing that product, but the experience that they're providing to the customers, and we see our customers actually going through that journey. Some might be harder to move within whatever industry, because maybe they have legacy product, legacy machines, right, to be able to lift and ship to quickly. But there's definitely a path, and if you think about some of these industries that's been around for a long time, they're definitely going through this transition, and in fact, I think they have to. >> So how did you set priorities in terms of, you come to that recognition that we're services, in the cloud. Luckily, you don't have to manage data centers, so you could take that off the table, so what were your priorities and where did you start, and what are you focused on now? >> One of the first things that I did was really pushing this cultural shift for the company, because a lot of people, some people may think, okay, it's software, I'm putting in the AWS, it's cloud. But all the other service elements, like that restaurant analogy, it wasn't mature in terms of where we needed to be and therefore you hear a lot about customer experience and customer success and a lot of these elements that we really have to put more emphasis on. But the other areas that I focused, so I came in, I focused on cloud operations, security, tooling, and architecture, that was the set that I was focused on. What I did was essentially transformation, right, it's People Process Technology in addition to culture, so culture we already talked about, the sense of urgency is very different as well. On-prem, maybe you don't have to respond in two seconds, but in cloud, you do, and so making sure that we had crisp KPIs, which are different than on-prem, making sure that processes were completely redefined. I've actually done benchmark with our competition to see that our SLAs and KPIs are either on par or better. I'm a big proponent of engineering and technology, so we built a lot of technology monitoring, tooling, so that we can do a lot more in terms of self-service and automation, that's really the only to scale, and execute consistently. Spent a lot of time over the last year, literally re-defining the identity of our jobs to how do we make sure we have the right skillset, and retraining some of the folks who may have a new identity and they need to learn new skills, to coming up with new tools and technologies that they can use, to changing our processes so we can up our SLA and make sure that we're either meeting or beating our customers' SLAs, complete transformation in the last year. >> You must be exhausted. (laughs) >> When do you sleep? >> I don't sleep much, but... >> You must not. >> So, new metrics, this is intriguing to me. Can you give us an example of sort of this, new KPIs as a result of this cloud, SaaS world? >> Yeah, for sure. I think every company has their own sort of core KPIs that are public, and cloud is usually uptime, right? If you have support, it could be how quickly you respond, we call it mean time to respond. Underneath the hood, I've created key KPIs for, what I call, critical cloud qualities. One is, of course, reliability, so that would be in addition to uptime, like 99.7%, which is two hours and 11 minutes by the way, per month downtime, so making sure that we're actually meeting that. >> Sorry, just to interrupt. >> Yeah. >> You're measuring from the application view right, not the green light on the server, is that fair? >> That's a great question, because that is exactly the evolution we want as well, so when I talk about the transformation at my organization, we were measuring the hardware first. We are now measuring, essentially, outages. So I don't care if the server's still running, but if the customers can't log in, it's an outage, right? But that's not something you can monitor by looking at a server because sometimes the server's up and running. But maybe a process went down. >> System's fine. >> Exactly. So that's the monitoring-- >> Okay, so slight adjustment in the typical metrics, sorry to interrupt, but please carry on. >> That was a perfect question. >> Okay. >> So KPIs, so underneath the hood, so here are some examples of metrics for availability. Mean time to detect, that's an internal metric, and my internal metric is five minutes, meaning, if you don't know we have an issue in five minutes, it's probably not automated and monitored, so we better hook up some additional monitoring as an example. Mean time to respond, that's a very public one, a lot of times, customers demand that, and if you look at competition, that is the only metric that's actually public, potentially even on a contract, right? So we have mean time to respond, we also have mean time to resolution, that's usually an internal metric. I'm sure competition has that as well, but making sure that we have that response right away, because it's one thing to respond, but if it's not resolved as quickly, it's not good. Other metrics when it comes to reliability, mean time to communicate. And this is really interesting. One of the things that I found was, we could be working on something but we're not telling the customers, so they're wondering if we're actually sleeping on the job, even though we're actually actively working in the background, right? >> Did they get the message, right? >> Right, so mean time to communicate, as an example of reliability metrics. So reliability is one of the core tenets. The other tenets? Performance, how quickly do you respond, right? And I always say that if performance is too long, it's equivalent of being down. Imagine if you're using Google and you put a search in, and it takes you three minutes to get a response time, you probably have left by then. So that performance, page load time, page response time, these response times actually matter. So we have actually metrics around that and we monitor and manage them. Security, we have a boatload of security KPIs, whether it's number of critical vulnerabilities, how quickly we respond to security incidents, a boatload of those as well, and then, last but not least, agility. So how quickly we can respond if we have to do a deployment. So what that means is, let's say, every software company has a bug, and let's say we actually had to quickly respond to that, can we do it within 24 hours if we needed to? Security is a perfect example. A mature company should be able to say, okay, there was a security alert that got to the industry, right? We should be able to quickly respond to that and apply a patch immediately and address it. A company that may not be so mature, it might take them months to go through thousands of machines. So I call that time to market, how quickly can we actually deploy something, and that's not just deploying it, but testing it and making sure it's not going to break anything and be able to test it and verify it. So these are examples of metrics-- >> Great examples. Are your SLAs... for a SaaS company, your SLAs presumably have to be more strict than you'll contractually agree to, but maybe not, then your typical SLA out of AWS or Google, or Microsoft Azure. Is that true? >> Yes. >> So you guys will commit contractually to these types of SLAs that you would expect in an enterprise, versus kind of the standard, off-the-shelf AWS SLA, and how do you reconcile the gap or do you have a different agreement with AWS? >> We do have a... The SLA is pretty much standard when it comes to AWS specifically, right? >> 'Cause they want-- >> Yeah. >> Homogeneity. >> Exactly. So I think the challenge is, every SaaS provider needs to architect around it and when you think about it, hardware failure rate is usually 4% industry-wide. You can expect the hardware will go down, right? >> Yep. >> Network goes down, various things go down. So then it's our job that sits on top of it, to make sure that we build it for reliability. Perhaps we actually have redundancy built-in, and we can actually go from one side to the other, we have that, for example. So if AWS goes down, and they do, all right? I ran data centers for many, many years, it happens. It's our job to make sure that we can fail over it, and not have that customer experience, so it's an overlay availability that we have to build-- >> You're architecting recovery into the system, I know we're tight on time, but I got to ask you, 'cause Pam couldn't make it today. You're part of the WIN, the Women Infor Network, I presume, right? >> Yes. >> So maybe we can just talk a little about that-- >> Yeah. >> It's a great topic. >> Women in technology, right? >> I got some of the best interviews at Infor shows with women, Deborah Norville came on, Naomi Tutu, Lara Logan. Just some awesome folks, but so-- >> So your thoughts, we know you're passionate about the role of women in technology, so how you feel about that, if you want, and Infor, what's being done, or what can be done about that? >> Great questions. So I'm a big proponent of women in technology. Partly because I went through my pain, right, I've always been a small percentage in terms of engineering role as female in technology. I'm also a board member of Girls in Tech, and I channel my energy that way as well as I try to mentor and help others, for example, mentoring engineering students at Berkeley. I'm a Berkeley alum. And I think it's really important that we get more women in technology and keep in them in technology, and candidly, our latest trend is actually going down. So the reason why I think it's important, besides making sure that everybody has a chance, and all those good reasons, we have statistics that actually show, the more diversity you have, the better your product is going to be, and the better it's actually going to hit your top line revenue. And over and over again, whether it's women in the board seat, or women executives, or women engineers, no matter where, by getting women's input into technology, you're actually representing 50% of the consumer base. >> The user base, right. >> Right and so, if we don't do that as a company, we're actually not going to be able to get the user base feedback and I think it's so really important, not only for the economy to have those wonderful workforce in the job, but also for the company products to actually reflect the user's needs and actually improve the revenue, right? So from that perspective, I think it's really important, I love the fact that at Infor, we do a couple of things when it comes to diversity. So one, is WIN, as you know, Women Infor Network. I think it's a fabulous program, and in fact, I get a lot of male colleagues saying they want to join WIN, and they do. My last session, there were actually women and men joining it, because it's really about leadership and how do we cultivate our next, next talented workforce to be successful. The other one is EAP, the Infor Education Alliance Program, so that not only looks at women, but just diversity, right, and bringing students into this workforce. I think it's a great way to help the economy, help the products, help the company. And at the end of the day, why not? >> You're awesome, super impressive and articulate, and really self-confident, and hopefully an inspiration for young women out there watching, so thank you so much, really appreciate it. >> And hope you get some sleep sometime too. (laughing) >> Thank you. >> Busy, busy schedule. All right, thank you. Thank you Mayumi. We're back with more here on theCUBE, you are watching us live in Washington, D.C., and we'll be right back. (upbeat music)
SUMMARY :
Brought to you by Infor. Mayumi, how are you doing? And a recent honoree by the way, What makes that stand out, you think, from your peers? that you can really only do in the cloud. What's different between the way in which you provide all of our SaaS is in the cloud. in the cloud, but then you have to figure out, So it's all there, and when you talked about, And ensuring that you can actually focus on your I mean, you certainly get the value of maybe some of the companies in that industry. that product, but the experience that they're providing to and what are you focused on now? and automation, that's really the only to scale, You must be exhausted. Can you give us an example of sort of this, new KPIs so making sure that we're actually meeting that. the evolution we want as well, so when I talk about So that's the monitoring-- Okay, so slight adjustment in the typical metrics, and if you look at competition, and it takes you three minutes to get a response time, Is that true? when it comes to AWS specifically, right? architect around it and when you think about it, so it's an overlay availability that we have to build-- You're part of the WIN, the Women Infor Network, I got some of the best interviews at Infor shows and the better it's actually going to hit I love the fact that at Infor, we do a couple of things and really self-confident, and hopefully an inspiration And hope you get some sleep sometime too. Thank you Mayumi.
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Cormac Watters, Infor | Inforum DC 2018
>> Live from Washington, D.C., it's theCUBE. Covering Inforum, DC 2018. Brought to you by Infor. >> We are back this afternoon here in Washington, D.C., at the Walter Washington Convention Center. As we continue our coverage here of Inforum 2018 along with Dave Vellante, I'm John Walls, and we now welcome Mr. Cormack Watters to the program today, EVP of Emea and APAC at Infor. Cormack, good to see you sir. >> Nice to be here. >> So, we're going to talk about Guinness, over in Ireland (chuckling). Cormack's from Dublin, so we had a little conversation. We're getting a primer here. >> It's actually the best conversation we should have, right? >> Right, we'll save that for the end. How about that? So, you're fairly new, right? About a year or so. >> Ten months or so, not that I'm counting it by the day >> No no no, always going forward, never backward. But a big plate you have, right, with EMEA and APAC? Different adoptions, different viewpoints, different perspectives... We've talked a lot really kind of focusing domestically here for the past couple of days. Your world's a little different than that though, right? >> It is. It is. And it's very good that you've actually recognized it because that's actually the biggest challenge that we have. To be a little bit humble about it, I think we've got world-class products and solutions. I actually fundamentally believe that. But we have lots of different languages, cultures, and localization requirements in the multiple Countries that we look after. So, it's great to have great products, but it needs to be in French, Spanish, Portuguese, Italian, Swedish, Norwegian, Finish, Arabic, which most of them are. Customers realize that we are actually international and localized for many, many markets. But now we've become an intriguing option for them, if you're a multi-national business, with subsidiaries all over the world. So, it's good that Infor is big enough to do that. We need to do a better job of letting everybody know that we've done that, if that makes any sense. >> Sure. >> So what's happening in Europe? Europe's always pockets, there's no..I mean.. Yes, EU but there's really still no one Europe. What's going on? Obviously, we have Brexit hanging over our head. I felt like U.S. markets are maybe a little bit overheated in Europe has potential upside. >> Yeah >> And it seems like others seem to agree with that. What happening on the ground? Any specific, interesting areas? Is Southern Europe still a concern? Maybe you can give us an update? >> Yeah, so Brexit is quite a dominant conversation. I am from Ireland. I live in Dublin, but I'm working all over Europe, the Middle East, Africa and the Far East. So, I don't get to be at home very often, except the weekends. London is really our regional headquarters from a European perspective, and Brexit is on everybody's mind. Interestingly, when you go outside the UK, Brexit is not such a big topic because... That's Europe. And they kind of go, "Well if you don't want to be here, then you don't need to be here." Right? So it's a little bit of that, and they're saying, "Well, we'd like for them to stay, but if they don't want to stay, well, don't wait around." But in the UK, it's causing a lot of uncertainty. And the UK's one of our biggest markets. It's a lot of uncertainty, and what would be best is if we just knew what was going to happen, and then we could deal with it. And actually, once we know what's going to happen, that's going to bring a degree of change. And change, from our industry perspective means there's going to be some requirements that emerge. So, we need to be ready to serve those, which is opportunity. But the uncertainty is just slowing down investment. So, we need that to be resolved. >> So, clarity obviously is a good thing obviously a good thing in any market. Are there any hotspots? >> Yeah, actually for us, we're doing, for us the Hotspots right now, we're doing incredibly well in Germany. Which, one of our lesser known competitors is a small Company called SAP. And they're headquartered in Germany. It's quite interesting to see that we're actually taking a lot of market there in Germany, which is fantastic. That's a little bit unexpected, but it's going very well right now. We're seeing a ton of activity in the Asia Pacific, I would say that region is probably our fastest growing in all of Infor. And consistently so for several quarters and maybe past a year at this point. So Asia Pacific, Germany, U.K., and then as it happens, we are doing very well in Southern Europe, which is a combination of countries really. France, Italy, Spain, Portugal and Greece. Hard to put it down to which particular Country is doing well, but there seems to be a general uplift in that region. Because they were hit the hardest, arguably, by the crash back in 2008. So they've definitely come out of that now. >> And when they come out, excuse me I'm sorry John, but, they come out, Cloud becomes more important to them, Right? >> Yeah, I mean, absolutely. Anyone who's been delaying investment for years, can actually leapfrog what's been happening and jump straight to what you might call the future. So lots of Companies, lots of our Customers, are trying to simplify their Business. So Cloud is a great equalizer. We believe in your, what we call Last Mile of Functionality per industry. And that should make the projects shorter, more compact more predictable and the infrastructure worries go away, because that's our responsibility to the Customers. >> We definitely so that in the U.S., 2008-2009, CFO's came in said shift to the Cloud, because we want to shift Capx to Opx, and when we came out of the downturn, they said "wow this stuff works pretty well, double down on it" and then there were other business benefits that they wanted to accelerate, and so maybe Southern Europe was a little bit behind >> I think that may be the case right, and they are picking up. And what we're seeing are a lot of other advantages. Not to make this a sale's pitch, but, I am here so >> Go for it >> You've got a microphone >> I've got a microphone and I'm Irish, so I've got to talk right? What the Cloud is actually doing is, lots of Companies have put in big ERP over the years, the decades. And then they get stuck at various points and maybe years behind, because upgrades become painful and really want to avoid them. So what they're seeing is, if they can get onto the Cloud, they never need to upgrade again. Because it's always current, because we upgrade it every week, or every month and they're never falling behind. So they want to be ready to take advantage of the innovations that they know about and those that they don't even know about. So by keeping on the latest version, that opportunities open to them. Also, there's a big issue in Europe specifically about a thing called GDPR, which is data protection. Security. So we believe that we can do a better job of providing that, than any individual Company. Because we provide it for everybody, our resources can be deployed once and then deployed many times. Where as if you're an individual customer, you've got to have that speciality and put it in place. So GDPR is a genuine issue in Europe, because, the fines are absolutely huge if a Company is found to breach it. >> It's become a template for the globe now, California's started moving in that direction, GDPR has set the frame work. >> Well and just to follow up on that, and now you're dealing with a very different regulatory climate, then certainly here in the United States. And many U.S. Companies are finding that out, as we know. Overseas right now. So how do you deal with that in terms of, this kind of balkanized approach that you have, that you know that what's working here doesn't necessarily translate to overseas, and plus you have, you know, you're serving many masters and not just one or two. >> What's happening is the guys in our RND have done very well, is they understand the requirement of, in this instance, GDPR. They look at the other regulatory requirements, lets say in Australia, which is subtly different, but it is different, and they can take, well what do we have to do? What's the most extreme we have to achieve? And if we do that across our suite into our platform suite, the N4RS, that can then be applied to all the applications. And then becomes relevant to the U.S. So it's almost like some requirement across the seas, being deployed then becoming really relevant back here because over here you do need to be aware of the data protection, as well, it's just not as formalized yet. >> It's coming >> A Brewing issue right? >> What about Asia Pacific? So you have responsibility for Japan, and China, and the rest of the region. >> Right >> Which you are sort of re-distinct... >> Really are right? There are several sub regions in the one region. The team down there, as I say, arguably the most successful team in Infor right now, so Helen and the crew. So you see Australia, New Zealand then you see Southeast Asia, then you see China, Japan and so on. So different dynamics and different markets, some more mature than others, Japan is very developed by very specific. You do need very specialized local skills to succeed. Arguably Australia, New Zealand is not that similar from say some of the European Countries. Even though there are differences and I would never dream to tell an Australian or a New Zealander that they are the same as Europeans, cuz I get it. I smile when people say "you're from the U.K and you're not from Ireland?" I understand the differentiation. (laugher) And Southeast Asia, there's a ton of local custom, local language, local business practice that needs to be catered for. We seem to be doing okay down there. As I say, fastest growing market at scale. It's not like it's growing ridiculously fast but from a small base. It's as a big market already and growing the fastest. >> And China, what's that like? You have to partner up? >> Oh yeah >> To the JV in China? >> You have to partner up, there are several of the key growth markets that it's best to go in with partners. Customers like to see we've got a presence. So that they can touch and feel that Infor entity. We can't achieve the scale we need, and the growth we want fast enough without partnering. So we have to go with partners to get us the resources that we need. >> And in the Middle East, so my business partner, Co-Host, John Furrier, is on a Twenty Hour flight to Bahrain. The Cube Bahrain. Bahrain was the first Country in the Middle East to declare Cloud first. AWS is obviously part of that story, part of your story. So what's going on over there? Is it a growing market? Is it sort of something you're still cracking? >> No, no, again it's growing. We have several key markets down there, big in hospitality in that part of the world. Hotels, tourism obviously. Shopping, very interesting markets, and Healthcare, interestingly enough. I think arguably some of the worlds best Hospitals are in that region. Definitely the best funded Hospitals. >> Probably the most comfortable. (laughter) >> So again part of our stent is the number of industries we serve, so if you can put in our platform as it were, then you could have multiple of the industry flavors applied. Because what's interesting in that part of World, there seem to be a number of, I guess we call them conglomerates. So maybe family owned, or region owned, and they have just a different array of businesses all under the one ownership. So you would have a retailer that's also doing some tourism, that's also doing some manufacturing. So we can put our platform in, and then those industry flavors they can get one solution to cover it all. Which is a little bit unusual, and works for us. >> Your scope is enormous. I mean essentially you're the head of Non-U.S. I mean is that right? >> Yeah, and Latin America as well. >> That's part of it? That's not... >> Excluding the Americas. So there's Americas and then everything else, and you're everything else. >> I missed a meeting you see so they just gave it to me >> What you raised your hand at the wrong time? >> I wasn't there (laughter) >> So how do you organize to be successful? You obviously have to have strong people in the region. >> Right. So the key is people, right. We organize somewhat differently to over here. We've gone for a regional model, so I have six sub-regions, that I worry about. So four in Europe, the Nordic Countries. Scandinavian, Sweden, Norway, Finland, Denmark. We call Western, which is Ireland, U.K. and the Benelux. Germany is Central and East, and then Southern is the Latin Country, Spain, Portugal, Greece and so. Then we've got the Middle East, and Africa, and then we got Asia Pacific. I've got six regional teams, all headed by a regional leader, and each of them are trying to be as self contained as they can. And where we see we've got an opportunity to move into something new, we've got one team working with me directly as an incubator. For example, we're driving a specific focus on Healthcare, in our part of the world, because it's very big over here. We haven't quite cracked the code over there. When we get some scale, then it'll move into the regions, but for now that's incubating under me. >> And, what about in Country? Do you have Country Managers? One in the U.K., one in France, one in Germany. >> We have what we call local leaders, right? So in some cases it could be a sales oriented individual, it could be consulting, others it could be the local HR guy. So that's more for us to make sure we're building a sense of community within Infor. Rather than it being more customer facing. We're still trying to make sure that there is a reasonably scarcity of senior skills. So regionalizing lets us deploy across several Countries, and that works with the customer base, but for employees we need local leaders to give them a sense of feeling home and attached. >> So the regions are kind of expertise centers if you will? >> Yes >> So I was going to ask about product expertise, where does that come from? It's not parachuted in from the U.S. I presume? >> No, we're pretty much self-sufficient actually, which is great. So from both what we call solution consulting, which is the product expertise, and then consulting which is the product deployment. And we're doing more and more of our deployments with Partners. As I say, we need to really rapidly embrace that partner ecosystem to give us the growth opportunity. RND, is all over the World. That's not under my direct control. So for a major suites, take for example, LN, happens to be headquartered out of Barneveld, in the Netherlands. From a Historic perspective, which is great. And Stockholm, which is also great. But a lot of the development resource room in Nila and in India. So we work closely with the guys, even though they don't actually report to me. >> And out of the whole area, the area of your responsibility what's the best growth opportunity? We all think of China, but that's been fits and starts for a lot of people. >> Yeah, yeah I think we've got multiple opportunities, you can look at it a few ways. You can look at it geographically, and you would say China. You can look at Eastern Europe, and you can look at Africa. There's a ton of opportunity in those regions, geographically. Interestingly we are also at a point where I think the Nordics, and we've got a very solid base Historically, and so on. But we probably haven't put enough focus on there in recent times, that the opportunities are really scaled in Nordics is really quite significant. And then they can look at it from a Product Perspective. So for example, we have, what we believe to be World Leading, and actually a Company called Gartner would equally agree with us. Enterprise Asset Management, EAM, that's a product suite that can fit across all of our industries. I think that could well be the significant growth area for us across the entire six regions. And it's a huge focus for us here at the conference actually. So we can do it by product, EAM, Healthcare, or by Region. I think Eastern Europe, China, and Africa, as well as the Nordics. >> And the other big opportunity is just share gains, market share gains, particularly in Europe, I would think, with your background. >> Yup. Completely, I mean, that's why I said, it's really interesting that we are winning market share in Germany. Who'd of thought that a few years ago? That's a big market, I mean, Germany, U.K., France, Italy. They're huge. Right, I mean U.K., is what, Sixty-Five Million People? It's a big economy, so we've got many of the worlds G7, in our backyard. So we just really need to double down on those, and give them the opportunities to grow that we need. >> And just back to Japan for a second. Japan has traction, it takes a long time to crack Japan. I know it first from personal experiences. >> Yeah, Okay, Interesting. >> Yeah you just got to go many many times and meet people. >> That's it, Right. And it's a different culture, of when you think they're saying yes and you think they're there, that's just yes to the next step. (laughter) >> Alright, so it does take time to get there. We've actually cracked it to some extent, that we've now got some solid referenceability, and some good wind. We need local leaders in Japan, to really crack the code there. >> And then once you're in, you're in. >> I think that once you've proven yourself, it's a lot of word of mouth and referencing. >> Well I hope you get home this weekend. Are you headed home? >> Yes! Actually I'm lucky enough. My Wife is originally from Chicago. So she and our Daughter have come over for the weekend, to go sight seeing in Washington. So that'll be fun. So we'll be going home on Sunday. >> Your adopted home for the weekend then. >> That's exactly right. >> Well we'll talk Guinness in just a bit. Thanks for the time though, we appreciate it. >> Thank you Gentlemen. >> Good to see you, Sir. Alright, back with more here from Inforum 2018, and you're watching Live, on theCube, here in D.C. (electronic music)
SUMMARY :
Brought to you by Infor. Cormack, good to see you sir. Cormack's from Dublin, so we had a little conversation. So, you're fairly new, right? domestically here for the past couple of days. and localization requirements in the multiple Countries So what's happening in Europe? And it seems like others seem to agree with that. And the UK's one of our biggest markets. So, clarity obviously is a good thing arguably, by the crash back in 2008. And that should make the projects shorter, more compact We definitely so that in the U.S., 2008-2009, Not to make this a sale's pitch, the Cloud, they never need to upgrade again. It's become a template for the globe now, here in the United States. the N4RS, that can then be applied to all the and the rest of the region. and growing the fastest. We can't achieve the scale we need, and the growth we want in the Middle East to declare Cloud first. of the world. Probably the most comfortable. So again part of our stent is the number of industries I mean is that right? That's part of it? Excluding the Americas. So how do you organize to be successful? So four in Europe, the Nordic Countries. One in the U.K., one in France, one in Germany. it could be consulting, others it could be the local from the U.S. I presume? But a lot of the development resource And out of the whole area, the area of your responsibility So for example, we have, what we believe to be And the other big opportunity is just share gains, So we just really need to double down And just back to Japan for a second. of when you think they're saying yes and you think We've actually cracked it to some extent, that we've now it's a lot of word of mouth and referencing. Well I hope you get home this weekend. So she and our Daughter have come over for the weekend, Thanks for the time though, we appreciate it. Good to see you, Sir.
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Charles Phillips, Infor | Inforum DC 2018
>> Live from Washington, D.C., it's theCUBE! Covering Inforum D.C. 2018. Brought to you by Infor. >> Good afternoon, and welcome back to the Walter Washington Convention Center, we're at Inforum 2018, here live on theCUBE, John Walls with Dave Vellante, and it's a pleasure now to welcome the CEO of Infor, Charles Phillips with us. Charles, good to see ya! >> Good to see you guys again, another year. It's great, it's great. >> Yeah, I tell ya, you are a man of demand aren't you? I mean, tell me about the week so far for you, how it's gone, and just your overall thoughts about the show? >> Yeah, it's been a fun Inforum for 2018 here. Great attendance, and a lot of energy level, and the common feedback we get is you guys just keep innovating and bringing new things, this is great, and that's why they come, they want to see what we're working on and kind of dream the art of the possible. We know what you, what we think you get a couple years ago, but if we don't have someone pushing us and painting a picture of what we could be doing, and we just think we might be missing it, so we want to hear it first hand. So that's what the conference is about, and hopefully they got that. >> Well, certainly thematically, human potential, you talk about that, you see that on the keynote stage, that's been a very consistent theme with our guests here, we've heard that a lot, you hear it down on the show floor. Talk about the theme if you would, a little bit, in terms of it's development, where that came from, and in how you think that's being expressed here this week. >> Well, we're one of the few companies that build mission critical operational systems, be it manufacturing or hospital operations, but we're also in HCM in a big way. And so we were talking to kind of both sides of the house, for some applications you're talking to the line of business manager, but for HCM you're talking to the CHRO, and rarely were those two people talking, and we saw obvious synergies. Don't you want to know how your people are doing, how to allocate people, and how they're performing, how they're changing the outcomes on a manufacturing floor or in a hospital, and a lot of HR directors weren't thinking like that because they think of HR, and they have their own world, they go to HR conferences and that's it. And the manufacturing guys are the same thing, and so we're trying to bring these two worlds together and say "Actually, you're in the same business, it's the same goals, and you actually could help each other a lot." And so by focusing on putting the employee at the center of all these applications and mapping all these operational processes to HR data, it's a different way of thinking about the role of HR. They can actually help drive the business, not just be an administrative function, and so it's resonating with a lot of the CHROs we met with, 'cause they want a seat at the table, they want to be more strategic, and this is a way for them to do that and at the same time the operational people want to know how their people are doing, want to develop talent, and want to know what are the tools out there I could be doing differently, and how am I doing, and which employees are working the best So, I think we can bring both sides together. >> So I first met Infor through AWS, at re:Invent, Pam Murphy came on, and we were like Infor? Back then it was like 2012, 2013 was kind of Infor who? And then we were invited to New Orleans, and then started to learn more about your micro-vertical strategy and a little bit about the platform, it was somewhat opaque to me. And now, fast forward last year and this year it's really starting to come in to view. The OS, the platform vision, the Birst acquisition, and of course Coleman, and I'm a sucker for platform plays especially when there's real R&D behind it that's actually having a business impact. So I wonder if you could talk about that piece of the strategy, I love the stack, was that sort of always your vision and now you're getting aggressive in it, did it sort of come together serendipitously, how'd we get here? >> Having our own stack and a platform was always the vision, but it's a lot harder to do than it sounds like, and it takes time. And so, when we arrived almost eight years ago, there were different applications, all had their own separate stacks and would say "This is not going to work." So, we need, just to be able to scale, to be able to serve multiple industries with different products, we can't have every development organization building their stack as well. So we set about taking that away from the development groups we're going to do this as a shared service, but it takes time, and as we build it you will adopt components of it. So what's changed is we've built out the entire stack, so, starting with ION, with integration, then we added document management, workflow, analytics, now AI and a lot of other services, Mongoose, platform as a service, on and on and on, in collaboration, those things took time, they're all on a single platform, federated security, single siloed across it all, and now it makes the developers job who's developing apps so much simpler. So they have Infor OS for the immediate platform, for cloud services they have AWS, I don't have to worry about any of those things anymore, just go and develop industry functionality. So, it's come together nicely, but the fact that we had the time to do it and the money to do it, and we weren't public, and we told our investors "This is the only way this is going to scale, this is the future, and it'll pay out later, you just got to trust us." And now that we've gotten there, they're seeing the synergy and go "Okay, now we see why you did that." >> So, Michael Dell's been on theCUBE many times, he used to talk about the 90 day shot clock, we obviously see what he's done in terms of transforming; but I want to talk about your business a little bit, because you've had that patient capital, I mean you're a quasi-public company in the sense that you do report so we can see the numbers on the income statement, but the income statement doesn't really tell the whole story It's about three billion in revenue, several hundred billion dollars on the balance sheet, but if you look at the SaaS component of it it looks rather small, maybe about 25% of the business, but from a booking standpoint I'm sure it's much, much larger than that. So how should we interpret the income statement in terms of the momentum in your business, where is all the action? >> So as a percentage of our sales, it's the highest of any of our competitors, so, about 70% of our new sales are on SaaS, we have about a $700 million SaaS business, so it's growing. There's nothing we can do about the maintenance piece of it, if it's related to perpetual, so if you take that out, it's a big percentage of our business. And over time the maintenance will turn into SaaS, so that's one of our big opportunities to look at that maintenance space and say "Move those over to cloud customers." and that's usually a financially lucrative thing for us to do, because we do even more for them, because they usually add on four or five other products when they move, they replace these third party products and so we get a bigger suite of products if they decide to move to the cloud. So that's part of the strategy, that's what UpgradeX is, let's move you from on-premise, so that maintenance revenue will turn into SaaS revenue, but bigger SaaS revenue over time. >> So let me make sure I understand, so it's not the classic case where you see a lot of software companies that are going from a perpetual model to a ratable model, you're goin' from a maintenance model which is ratable to a ratable model which is SaaS, but there's cohorts sales which increase the top line, is that correct? >> Exactly. So usually, because of what we do, we're doing something mission critical. So if you're going to take that, then you should do ACM financials, all the other things around it. So why would I move to core and leave the edge on-premise? So, almost by definition we have to do the whole suite. So when we do that it expands the deal, 'cause on-premise we may have been one vendor with 30 other ones existing, but the whole reason they want to get out of all of that is to move to the cloud and simplify. So we can't take all that with us, so we have to have the full suites, we've built that now. So now we can move them, but, it expands the size of the deal because we're replacing all these other products. >> Okay, and then some of the stats, just correct me if I don't get this right. Your SaaS business grown 50% faster than Oracle's, growing at a rate, I'd say 2X SAP's and a rate comparable to Workday, are those correct figures? >> Those are correct, and profitable. >> Oh, and profitable. >> Throw that in. (all laugh) >> Right, so okay. And then last year Koch Industries invested, so you kind of recap the company, you've made a big deal about that. One of the things that we've noted is you're seeing a tailwind there in terms of guys like Accenture and Capgemini, we've asked them "Do you guys service Koch Industries?" they said "Yep!" they helped us see the opportunity, and they said "Look, look for something substantive, we're not going to try to force you to do something, but we want you to take a look." So that's been helpful. Talk about that and maybe other things Koch has brought to the table? >> It's a, the relationship with the integrators is evolving, it probably was not a plus for us in the first four, five years. More recent years we've won enough deals where they had to say "Okay, we can't keep losin' these deals." And where they wanted to get engaged. Koch helped, because they had relationships and they wanted to run that business, that's why they're implementing our products globally, and so, they're a large customer for all of these guys, and one of the largest for Deloitte for instance, but what's really more-- that helped, but it was more the, what was happening in the market, the fact that we're in a Liberty Steel and replace SAP, or that we're in a Travis Perkins interview with SAP and Microsoft, so, if you're on the wrong side of those deals enough times your manager starts to ask you what's goin' on, and you got all these people on the bench here, okay, we train them for Infor if they're winning in that region, or in that industry. So, we just had to earn our way into it, our initial strategy was not one that, at least on the surface, looked like it was integrator-friendly because we were trying to take all those mods they like to do and put 'em in the product, and that's the whole thesis, let's the take the vertical industry features and let's put it in there once, I don't want everybody customizing my apps, we do that. And so now they've had to move up, okay we can do other things, configuration, changed management, there's AI, there's other things you can do, but you're not going to do that. So now that they've accepted that, there's a basis for us to work together, and, it just had to take time to get there. >> What can you tell us about where you want to go with this? I mean you've presided over public companies before, you know that business well, you were a rockstar analyst, is there an advantage to being a public company, is that something that you eventually want to do? >> I would say there are pluses and minuses, our board is evaluating that, that's going to be their call. The upside is, it would solve probably our biggest challenge which is brand recognition, almost instantly, because would be a top 10 tech IPO. It makes it a little easier to hire people because they can see public currency, they can value more quickly, and it gives you some acquisition currency; so those are the positives. But then you're on the 90 day cycle, and we're kind of on that anyway, 'cause we report publicly and we have publicly traded bonds. So for us it's, in some sense we have the worst of all worlds, right? We have the discipline of being a public company, and the scrutiny, without the capital, (laughs) and the branding, so. I think that's what everybody's evaluating. Every bank on Wall Street's visiting us telling us to go now, the window's great, you have the numbers. >> Oh, of course. (Dave and John laugh) >> And so, so we could do it, I just don't know what their decision's going to be. The advantages to being private as well, you have a little more flexibility obviously, and, we don't need the capital, we have plenty of capital coming from Koch and others who want to invest. >> Well, the flip side of that too, is you get to write your own narrative, right? >> Yeah. >> I mean, we're talkin' about the nuances of the income statement, the Street is obviously right now hooked on growth heroin, and if you got the transition in the base it doesn't become a tailwind, so, no rush from that standpoint. I want to pivot to the theme of this event, which is the human potential. My understanding is you sort of were instrumental in coming up with that. HCM this year got a big play on stage, where's that come from? >> Yeah, just as I talk to CEOs who are struggling to find talent, like I mentioned on stage 6.7 million jobs that are unfulfilled. It's not like we don't have people here, we have people here with their own skills, so, you're not going to fill those jobs any other way, we're not doing immigration to any degree and scaling more, that's been shut down. We have an aging population with the baby boomers, so the most logical thing that you would do is train people who are already here who want to work. And, let's take people who have jobs that they probably aren't thrilled about, and give them different skills so they can fill these 6.7 million jobs. So to do that, you have to make these applications easier to use, and I felt like we're probably in the best position to do it because we actually know what they do for a living, 'cause we wrote all those last features in those industries, we understand what they do. And if you're just doin' HR replication or financials, you actually have no idea what they do. So, we had to learn those jobs to automate those jobs, so we can find ways to use our HCM applications to better train people, professional development, coaching, take all these HR skills, and put them as part of the applications in the context of while you're working. >> We had Anne Benedict on just a little bit ago talking about really a test case that you can be for yourself. So how are you putting these things to practice yourself, and how are you working out maybe some kinks before you take them out to somebody else? And so, you can leverage your own success for your own success, and also learn from mistakes too I would think. >> We do. So we have this program called Infor at Infor, where everything we do, we want it to be on an Infor product, which was not the case when we arrived. Like a lot of companies, a mish mash of different things, and so we've implemented not only HR Financials of course, Birst, but the big innovation has really been talent science, that every employee we hire has to take that test, and all the executives have taken it as well. And what we've discovered is, is that, when people hire and go against the talent science recommendation, 68% of the time they end up being wrong. So it's better at judging people than people are sometimes, and you can't use it exclusively, but it'll tell you these are the things you should look into, some questions you might want to ask, here's how they rate on certain skillsets, they're very well meshed for this job, they look like they'd see their best performance in this area, but ask these questions. And so people don't know how to interview and how to think about this, and so, having a guide to go into an interview is actually pretty helpful. We hire much better people now by using that. >> So it's like StrengthsFinder in a way? >> No, it's different from that, this is AI, it's kind of Moneyball for business people. >> Well you're talking about that today, almost there. >> Yeah so it's 39 personality attributes, behavioral attributes we call them, so, empathy, resistance to authority, do you have the ambition or not, and depending on the job, you think all those things are good, depends on the job, so. For some jobs, it's actually better to have low ambition because, a lot of our customers who have low wage, fast food service jobs, people who have ambition are going to leave in four months, right? They're not going to stay, so, okay we're not going to be here long, at least know that going in, and know who wants to get promoted, and other people are fine with it. And so it depends on the mix of skills, just like I said, 39 attributes, and for that job role, you tune it to the people who like that job, they look like this. And, we've also found that it's 60% more diverse when you hire using science, because you don't know that when you're looking at the data, what they look like. >> It must've been super interesting getting those reports. You took it, obviously right? >> Yeah I took it. >> How'd you do? (laughs) >> Uhhh, nobody really likes their profile. (all laugh) >> I was going to say, I imagine I would be really defensive about this, oh I don't know. >> This can't be right! >> That is not me! I am not like that! (all laughing) >> Every person on our executive team said the same thing so. That's what it's for is to, you have certain perceptions even about yourself, and it calls it out, right? And there's no gaming the system because the questions have no right or wrong answer, it just puts you in scenarios that you answer what would you do, how do you feel about this? You're not clear what they're trying to get at, and you only have 27 minutes or 22 minutes to do the test. >> So you can't game it? >> You can't game it. >> Data doesn't lie! >> And we built the science, we know when someones trying to game it, they're taking to long on multiples, and changing their answers too much, so it's-- And we've now, I think we've tested some 200 million people over time, over years, so we have 20 years of data about people. >> That's, I mean, sounds unique, certainly unique of being infused into enterprise software, I've not seen anything like this from another enterprise software company. Can you confirm that, or? >> Yeah, so, we're the only ones that do this at scale, there's a few startups trying to do it, but they're trying to do it all facial recognition which is, we think pretty ridiculous, we're trying to get away from physical attributes not use that. So there's a company out there doing that, depending on your facial movements, but this is, we're eliciting responses about your personality in response to situations that we give you, and have a bunch of scientists that crunch the data and they basically shape it to the job role. And they test your best performance, and you get a DNA profile for your best performance for that job role, and then, that's what you're matching, and it's highly accurate. So we had a company on the Las Vegas Strip use it, because they have to hire in volume a lot, and essentially what they wanted to do was get better blackjack dealers. You need somebody that's good at math, good under pressure, not too emotive, don't give away anything; and so we did that, fine tuned the test, they call us back nine months later and said "We need you to change the test." We said "We did exactly what you wanted, what happened?" He said well, the winnings went up 30%, but everybody's leaving the hotel in 24 hours 'cause they lost all their money, so we don't need them to be that good. (all laugh) >> Dial it down a little bit. >> Which we did. And so that's part of the service is we fine tune it, you tell us what your goals are, and we'll tune to that. >> That's a great story. The other surprise for me this week has been the emphasis on robotic process automation, it's a space that we've kina looked at. And a lot of people are scared about software robots replacing humans, but if you talk to people who are using RPA, they love it. It's taking away these mundane tasks, I didn't realize that you guys had such capabilities there? >> Yeah, so we built that as part of a Coleman RPA platform, and not only can we automate and use RPA for ourselves, but we've built a whole development environment for our customers to build their own, 'cause we can't think of every process that they might want to automate, and we gave that platform to our partners as well, so. We don't want them doing database schema work anymore, and they used to get paid for that, there's other things you can do up the stack in AI, here's what we want you to focus on. So we had that meeting on Monday with the partners, and they all agreed that's what we're going to do. But there's tons of mundane things that people shouldn't be spending time on, and they can be much more productive, it makes them more loyal to the company, they're enjoying their job more, and they're thinking and innovating more. So I don't see it as replacing people, as making people better. And giving that engagement that I talked about during the keynote, they're engaged now, because they can do things that are more value adding now. >> So, back to New Orleans next year? That's the first Inforum that theCUBE was ever at was in N'Orleans, and, jazz, you like jazz, obviously, right? >> I like jazz, I met with the mayor when I was down there, Mitch Landrieu at the time, and he became a customer after that meeting, so the city of New Orleans runs on Infor software, it's another reason to go there; so thank you. >> You've get--nice. >> Yeah, thank you Mitch, so that worked well. And so as a thank you we're going back down there, they're a big customer now, and it's always fun, you know what I mean, you know. >> That's great. >> Just, before you go, you mention, I watched in the keynote this morning, Brooks Koepka. >> Yes. So you're working with him. I do a little bit of work on the golf side as well, so I was just intrigued because, he's not the, well he's not Tiger, right? >> Yeah. >> U.S. Open Champion, twice over. What was the attraction to him, and then can you play in the golf world a little bit, and with those brands, and is that an entry into that world? >> Well, we always like to bet on the scrappy guy, the next up and coming generation guy, and that's kind of our brand that's what we are, the Brooklyn Nets, someone who's not quite there yet, but they're moving up, that's kind of our scrappiness, that's why we like the whole Brooklyn image as well. And we started talkin' to him, like I said, before he won the U.S. Open, because he was ranking pretty high, moving up, but wasn't well known. A quite guy, very personable when you meet him, we thought he'd be good in front of clients, let's bet on his career, and we're going to work with him; and literally three weeks later he wins the U.S. Open, we go "Okay." (all laugh) >> Good grab! >> We'll take it! (laughs) So, we didn't even think it'd happen that quickly, and now he's a rockstar so. We were planning on hosting a CX event with him, and, we're not sure how many people are going to come, but when that happened, now, everybody RSVP'd right away of course. So now it's doing exactly what we wanted. >> Do you play golf? >> I don't play golf, I just started playing, 'cause we were doing these golf tournaments with customers over the last year, but I haven't had enough time to get out there yet. >> I'll bet Brooks would give you a lesson or two. (laughs) >> Yeah, he, a lot of people want to lesson from him. >> Charles thank you >> Alright, thank you guys, >> for the time, great show. >> Good to see ya again. See ya in New Orleans. >> Thank you, yeah. >> Congratulations. >> Alright guys, see ya. >> Wonderful week here in Washington, D.C. Back with more live on theCUBE here from D.C. right after this. (bubbly music)
SUMMARY :
Brought to you by Infor. and it's a pleasure now to welcome the CEO of Infor, Good to see you guys again, another year. and the common feedback we get is and in how you think that's being expressed and you actually could help each other a lot." and we were like Infor? and as we build it you will adopt components of it. in the sense that you do report and so we get a bigger suite of products So we can't take all that with us, Okay, and then some of the stats, and profitable. Throw that in. but we want you to take a look." and you got all these people on the bench here, and it gives you some acquisition currency; (Dave and John laugh) so we could do it, and if you got the transition in the base so the most logical thing that you would do is and how are you working out maybe some kinks and you can't use it exclusively, it's kind of Moneyball for business people. and depending on the job, getting those reports. (all laugh) I was going to say, and you only have 27 minutes or 22 minutes to do the test. so we have 20 years of data about people. Can you confirm that, or? and have a bunch of scientists that crunch the data And so that's part of the service is we fine tune it, I didn't realize that you guys had such capabilities there? and we gave that platform to our partners as well, so. and he became a customer after that meeting, and it's always fun, you know what I mean, you know. Just, before you go, you mention, So you're working with him. and then can you and that's kind of our brand that's what we are, and now he's a rockstar so. 'cause we were doing these I'll bet Brooks would give you a lesson or two. a lot of people want to lesson from him. Good to see ya again. Back with more live on theCUBE
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Dhiraj Shah, Avaap Inc. | Inforum DC 2018
>> Live from Washington, D.C., it's theCUBE! Covering Inforum D.C. 2018. Brought to you by Infor. >> Welcome back to the Walter Washington Convention Center, we're in Washington D.C., the nation's capital of course, as we continue our coverage here on theCUBE of Inforum 2018. Along with Dave Vellante, I'm John Walls, it's a pleasure welcoming Dhiraj Shah in with us, the CEO of Avaap. Dhiraj, thanks for joining us this afternoon! >> Good to see you again! >> Absolutely, big pleasure, it was great talking to you for the last two years, and a pleasure to be back here. >> Yeah, I'm always curious, I mean Avaap, I've read a little bit, I mean the five letters of Sanskrit language, what do the five letters represent? I mean how did you come up with the title? >> You know, that's the first question that gets asked, the two questions I get. >> Sorry to be cliche, but I'm just really curious! >> No, no, the two questions is, "Why did you start Avaap?" and the other question is, "What is Avaap?" and it's actually five elements in Sanskrit and each of them are tied to a cultural value that we hold at Avaap, so, Agni, which is fire stands for passion, 'cause I'm a deep believer of being very passionate in what you do; if you're passionate, you'll follow through and it won't feel like work. Water is tied to innovation, sky is tied to goals, we're very ambitious. We've been able to have a rocket ship type of growth, so far, and we continue to aspire to do more. We have Earth, which is tied to eco conscience, cause we like to be globally eco conscious and genuine in what we're doing. And then air, which is transparency. I think we live in a world that, you really don't need a lot of bureaucracy, and the more there is transparency, the better there is organizational development. >> Gotcha, well thank you, I appreciate the rundown. So services and solutions, and the relationship with Infor, walk us through that a little bit, of why you're here. >> Absolutely, so, we are Infor's most decorated partner, so I'd like to say that, because we just came off the stage getting four awards with Infor this year. >> Congratulations! Fantastic. >> Yeah, thank you very much. They were overall partner of the year five years in a row. Our partnership with Infor, started five years ago, before that it was with Lawson. So when Charles Phillips and the team came on board, I was in the back of the room, and I heard Charles kind of lay out his vision in 2012. And he said "I want to do two things, I want to make software that is industry specific." And this is coming at a time where everything was one size fits all. And he said "We want to reinvent the software that's driven for future technologies. Cloud, mobile, big data." Right? So I had a great opportunity, and we made a momentous decision of parking all our eggs in the Infor basket, and just doing Infor. And that served us well of going from 20, at that point we were like 25 employees, to having over 450 today. >> Wow! And we've talked about this in the past is you got in early, and now you're seeing some of the big guys come in, so you have to stay ahead of them. How are you doing that, and why are you succeeding? >> You know it's not necessarily always being ahead, so that actually, that's a question I got, is that Deloitte's here, Accenture's here, Capgemini is here, do you feel threatened? We actually don't, because it's a validation of what's occurring in this eco system with the big system integrators coming in. And with a rising tide, all boats rise. So we've actually partnered with some of these large SIs, because there's roles that they play and we let them do a lot of business transformation, change management, program management, and we do what we do best, which is Infor knowledge, and consulting services. >> The deep, deep Infor, that's kind of, it's ironic, right? Infor's specialty is the last mile, micro-industry capabilities, and that's really kind of how you specialize is deep Infor expertise. >> Exactly, yeah. >> So give us an example of, you go through an engagement, you got one of the big SIs and they're going to do their big global thing, business process change, they really are global in scale, et cetera. Where do you come in? where does Infor sort of, where does their micro services, or micro-function leave off, and where do you pick up? >> So yeah, I'll give you a real world example, in fact, I was just with this customer earlier this morning, Christus Health, they are one of the largest health systems in the country, 60 hospitals, close to 60 thousand employees. They're looking for transformation on their ERP, full suite, HCM, Supply Chain, Financial. Went through a large system selection process the usual competitive race with Oracle, Workday, Infor, kind of being in that race. It was down selected to Infor and Oracle as the two lenders that had full capabilities that they were looking for. And then once they made their decision on Infor as their vendor of choice, they did a services RFP, which we partnered with Deloitte, because the scope of that was, as I said earlier, around business transformation services, that we didn't have in our bag. And Deloitte does not have the 20 years of expertise, the deep Infor knowledge around the solutions of Infor, that we have within our healthcare team. So, we bridged and built an alliance, that, today is starting the project journey in Infor, Deloitte, Avaap, Christus, to make that project a success. >> In the capabilities that you, that they were looking for, that you said that Infor and Oracle had, were what? the coverage of the functionality across the suites, was it the cloud capabilities? What's the high level of that? >> So the one thing that I will tell you, is the consumer, in this case the healthcare market, if we talk about them, is getting extremely knowledgeable, so the way it's starting is around cloud. So gone are the days, I see a lot of commercials out there about real cloud, artificial cloud, private cloud, public cloud, there's a lot of education already around single tenant, and multi-tenant, and they understand. So it starts with the cloud platform, that is the software provider on a stable, secure cloud platform, and are the applications hosted on a multi-tenant, as opposed to individually hosted for each customer. And then they break it down into the different buckets of the applications, within HCM, within Supply Chain, within Financials to see what not a product features. So gone are the days of looking at feature functionality, but their business processes, and best practices. And that's really, in my opinion, where Infor really came ahead at Christus. >> In the multi-tenant verses hosted, I mean, Vodka would say, "Well why would a customer care?" I'm presuming the customer cares because when you do a software release, it's just seamless, right? Verses okay, we got to freeze the code, and do an upgrade, it's more disruptive. Is that why? >> Yes, that's definitely a large portion because over the period of time, every time there is a manufactured change on the software side, development chain, you're adding code that impacts a customer to have to take their system down, and then bring it back up, and here it's done without the customer even finding out, so it's a huge advantage. The second advantage is a cost, which in today's world not as much, because hardware's become very cheap. But it's still conquered hardware that's sitting on the premise, as opposed to individually putting it out there, as opposed to having one system that's scalable. And then your third is security, on multi-tenant capable software, it's more secure than your single tenant capability. >> And Avaap brings that to the table. So it's not, I mean Infor has the micro-vertical function, so yours is what? Onboarding, implementation, training, those kinds of things? >> Yeah, so it starts with helping them align, and educate on the system selection on what it does. So we have a offering called Align and Define that allows customers to prepare for the cloud, to take steps today, and educate them on what needs to be done. Once they do that, then it's going through the implementation process, and post-implementation is optimization. So on the optimization side, Avaap also has capabilities on our EHR side. So one of the big challenge in healthcare, is a wall that exists between the ERP and the EHR, you have your Oracle and Infor on the ERP side, and then you have Epic and Cerner on the EHR, and there's a wall there, one doesn't talk to the other. And the systems need to be really integrated, to be able to drive efficiency and cost benefits for that, so that's one of the things that we're heavily invested in. >> Well healthcare is your biggest business, right? >> Right. >> So what's goin on these days? You obviously, last sort of wave was Obamacare, Affordable Care Act, there's some uncertainty around that, certainly meaningful use is still a big deal for a lot of healthcare providers, EMR is still you know, a big deal. What are the hot trends, what are the drivers, and how are you guys responding? >> ERP. ERP is the hottest trend right now in the healthcare market, so there's a lot of fatigue with healthcare having gone through meaningful use over the last decade of spending hundreds of millions of dollars, of putting in the EHR platforms. So that fatigue, and that focus on EHR has led to no real advancement on the ERP side. And that's why we're in a midst of what I think, is one of the largest wave in the healthcare industry are on ERP platforms that we're seeing, there were 55 system selections done, just in the last 12 months. My personal view is that over the next three to five years, we're going to see 80% of healthcare systems swap or upgrade their ERP platforms. >> Wow. Okay, please, go ahead. >> So swap-- what's... the fundamental of that decision? >> So there are a lot of legacy providers, so the market is going to get consolidated, so we, I know we always talk about Oracle, Infor, Workday, but there is a lot of other providers, there's, if you count mid market and up, there's 5,000 health systems out there that's customer base. >> Very fragmented, isn't it? >> Very fragmented. >> Okay, alright. >> So there's McKesson as an example. McKesson had a big ERP platform, officially said that they are stopping development on it. And that's going to create a void that needs to be filled. There's Meditech on the lower end of the spectrum that serves these regional, individual health system that exist in rural areas. So those systems are, need to be upgraded, because the rural systems of most of anywhere else that have connectivity issues need the cloud platforms to kind of go through. >> Yeah I mean a lot of these, a lot of these healthcare platforms were, they were literally, they were born in the mini-computer era it was a mantra, let's buy a VAX, and we'll become a valuated re-seller, and healthcare was such a huge opportunity, and so under technologized, not a word but, and then over the years, these systems just kept getting updated, now they're just left with this fossilized mess, right? >> Absolutely >> And the cloud comes in and that's really driving a lot of the change. >> Yeah, and Infor couldn't be positioning itself in a better time, to make the change. I think Charles was very visionary, and kind of reinventing the old Lawson platform, and making it multi-tenant, cloud enabled, for the healthcare industry, specifically written. So the last mile functionality that we talk about in supply chain that Infor has is unmatched, in our opinion, in the field today. >> Who does that last mile functionality, if it's not embedded in the applications like Infor, is it the SI, is it some other internal software developer? >> So, the software developers as Infor is, trying to build that as much in the software as they can. But there's always extensions, which is where tools from the Infor OS, as an example come in, to allow to build the extensions that allow us to then have that capability. >> You do that work, is that right? >> We do that work, absolutely. >> Okay, and then, how do you deal with Infor in terms of just not getting in the way of their road map? Soma's got his ERD pipeline, and you don't want to just do something that he's going to do in week, a month or a year. How do you communicate with those guys, and how do you find the white space? And then does it somehow get back into the platform and become advantageous for others? >> So Soma has spent 4 billion dollars on product, that's the budget his board gave. I can't go in front of my board, ask for that kind of budget, then I'd be out. >> Well you could. >> I could, yeah >> It could be some good laughs >> Yeah, so we are realistic in what we can do. So the extensions we build are very specific, and not necessarily product centric. We have a good relationship with the product development team, that allows us to see their road map and make sure. So an example I'll give you is test automation. So we've built an automation framework using an industry recognized platform, and customized it for the ERP, for healthcare. So, regression testing is one of the largest pin point, manual, laborious, takes a business uses away. So this tool, called Avaap Test Automation, which has been in the field, we have, close to 100 customers using it, allows us to automate that entire regression testing sidle, and is an accelerator that condenses the entire implementation life cycle. >> You've got, we've talked a lot about healthcare, you have another interest inside of your business, with a little Beatles connection. So fill us in on that a little bit. >> Yeah, so two of the four awards we got, one, and I definitely want to talk on both of them, because those are important parts of our business, One is retail, we did get retail partner of the year award, and Stella McCartney, is our project that we're actively working on in UK. She, Stella McCartney, is Paul McCartney's daughter, and has built a very reputable shoe company, that's a brand highly sought after, and we're working on modernizing their ERP applications, using cloud suite fashion, which has the underlying technology base on M3 platform. >> She loves you, yeah, yeah, right? >> That's cool, that is cool! >> Absolutely! >> That's great, well Dhiraj, thanks for being here, thanks for sharing the story! >> Absolutely, thank you very much. >> Congratulations on all the progress! >> It's always good to be here! >> It is full speed ahead. Good for you. Dhiraj Shah from Avaap >> Thank you! >> Back with more on theCUBE. We're at in Informen, Informer rather, (laughs) I did it again, didn't I? >> Inforum! >> Inforum! >> I'll step in when you need me! (laughing) >> 2018, D.C. Did it again. >> Excellent! (bubbly music)
SUMMARY :
Brought to you by Infor. the CEO of Avaap. and a pleasure to be back here. You know, that's the first question that gets asked, and the more there is transparency, and the relationship with Infor, so I'd like to say that, and we made a momentous decision of is you got in early, and we do what we do best, and that's really kind of how you specialize and where do you pick up? the usual competitive race with Oracle, Workday, Infor, and are the applications hosted on a multi-tenant, I'm presuming the customer cares that's sitting on the premise, And Avaap brings that to the table. and educate on the system selection on what it does. and how are you guys responding? is one of the largest wave in the healthcare industry the fundamental of that decision? so the market is going to get consolidated, need the cloud platforms to kind of go through. and that's really driving a lot of the change. and kind of reinventing the old Lawson platform, So, the software developers as Infor is, and how do you find the white space? that's the budget his board gave. So the extensions we build are very specific, you have another interest inside of your business, is our project that we're actively working on in UK. thank you very much. It is full speed ahead. Back with more on theCUBE. Did it again.
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Billy Southerland, IronRoad | Inforum DC 2018
(upbeat music) >> Live from Washington D.C., it's TheCUBE. Covering InForum, D.C. 2018. Brought to you by Infor. >> Well, good morning and welcome to day two here on theCUBE at Inforum 2018. We are in the nation's capital, the Walter Washington Convention Center, and thank goodness the sun's come out today. Everybody's got big smile and cheery faces, it's good to see. Dave Vellante, John Walls here. We're just on top of the show floor. You'll see a lot of activity a little bit later on in the day. And it's a pleasure to welcome our first guest of the day, Billy Southerland who's the CEO of IronRoad. Billy, good morning to you. >> Good morning, thank you guys for having me on. >> Great to see you. >> Yeah, great to see you. >> How's the show been for you so far? >> It's been great. Yeah, it's been great. Outside of the fact that we got bumped from our hotel when we first showed up so (chuckles) No, but show's been fantastic, always great to network, learn what other folks have going on and yeah, been phenomenal. >> Tell us about IronRoad. What you do and why you're here. >> Yeah, so we're an HR and outsourcing company. And we've been doing HR and payroll since 1997. Company started really just with an idea. So as we have grown through the years, working with mostly small to medium size businesses, we had an opportunity with Infor just a couple years ago to partner with them on the payroll side of things. And so it's been a new opportunity for us, one that our team is incredibly excited about. Just great opportunity to partner with some phenomenal software and so yeah, that's-- >> So, services that you guys provide, so HR, payroll, you've got a portal, onboarding. Take us through that. Is that full suite of-- full complement of services? >> It is, yeah. So our typical client is a smaller to medium sized employer and we'll go in and so many of the things that they've got to do internally that have nothing to do with why they got into business, they can outsource to us. So, anything from the beginning to the end of an employee's life cycle is what we manage. You name it and we do it for them so that they can go and focus on what they do. >> So let me probe that a little bit. So if I have-- let's say I have an HR issue with an employee. Maybe they're a little older and I'm concerned that I am going through the right steps giving that employee the right guidance. I don't want to expose my company to any lawsuits or whatever. Can I call you up and say, hey, give me some guidance on how I should handle this from an HR perspective? What do I have to document? You would help me with that? >> David, that's the perfect example, right? And so the whole liability of being an employer is something that they can share with us, right? So, somebody that focuses on HR knows those laws and rules and regs. They can pick up the phone, they call us, they say, hey Billy, got an issue, can you come out? One of our folks will go out, consult with them, make sure that everything's documented, managed properly. And yeah, that's exactly what we would do. >> Okay, so with healthcare compliance, Obamacare, PTO policies. I'm a small company. I want to make sure that I'm not killing my cash flow with balance sheets stuff. I mean all that stuff, you can help with? >> You got it. Yeah, absolutely. You bring up healthcare. I don't know any employee, employer regardless of the size who's not dealing with that, right? So the whole ACA compliance with Obamacare has been a tremendous boom for our business because people are looking left and right, how do we deal with this? What do we do? It's so complex for them, they're looking for experts to manage it. >> I mean that's kind of the tip of the spear. That's why, particularly small, mid-size businesses, it's healthcare first because it's so expensive and it's so important to the employees, right? >> It is, yeah and I would say most folks that we deal with it's number two line item right after payroll, right? I mean they're dealing with healthcare and everybody's looking for answers. It's like, how do we do this? And the employees are asking the same question, right? And they're looking at the employers saying, give me a solution. There is no real solution outside of being able to maybe aggregate with some other smaller employers so we can go to the large healthcare companies that are out there and say, okay I tell you what, we got about 5,000 people here now. What do you think about our buying power at this point? >> You get some scale and then do the works. >> That's it, you just scale it, exactly right. >> Okay, 1997. Well, first of all, you're Cincinnati-based, I'll come back and talk about that. But 1997, just coming into the dot come boom, the state of software was, back then PeopleSoft was the gold standard. There was no cloud, really, you had these software companies doing, forget what they even called it now, but it was like software as a service pre-SAS. Kind of clunky software and now you fast-forward to today, you know, you're all cloud, you're agile but so how'd you get started? Take us through kind of the technology progression. >> Yeah, so the start was an interesting one. I wish we could tell you we had a great idea but it was a complete accident, right? We were trying to, I was trying to help out two different friends who were in two separate businesses. They both had done extremely well in their separate businesses. So they started what is now IronRoad and after about 12 months, both of them had done so well in their other businesses, they looked at each and said, they each thought the other one was going to be pulling the wagon, right? And so neither one of them wanted to do it. So one of the guys came to me and said, hey Billy, you want to buy 50% of this? And I said, well, what is it? And he explained it to me and I said, I love this concept, it's a great idea. And so I said, how much? He said, $8,000. (laughing) >> It's like a lawnmower. >> I bought half a lawnmower, right? >> Such a great idea, you sure you don't want to charge more? >> Yeah, I said, $8,000? But he had no clients, right? They had a little bit of software that they purchased to be able to do the payroll. So that's really where we started. So kind of caveman like you said, David. And so-- >> What's your client base now? What do you have? >> So we're using the Infor Cloud base. The human management capital system. >> As far as the number of organizations that you're serving. How have you grown the business? >> Pardon. Yeah, so you know really, it's just been good old-fashioned hard work for us. We've not made any purchases, no acquisitions. And so we got some amazing people that have a real passion about what we do and we do it really well. The differentiator between us and some of the big guys that are out there really is our people. Your people talk about that but our people are really focused on it. So you know-- and pretty soon, that reputation begins to spread. Like you said, we're in Cincinnati, Ohio and currently we're operating in 38 different states. So little bit at a time, year after year, we've been digging and digging and digging. In regards to the question you asked, David, right? So we start with the lawnmower and here we end up sitting with you guys talking about Infor and this cloud-based suite that we've been able to manage and bring in and so really exciting for somebody like us. >> So talk a little bit more about the CloudSuite, how you use it, how you use it to differentiate from the competition, you know why it's maybe better than some of the other alternatives you see? >> That's a great question. Because most our businesses' professional employer organization. Most of the PEO softwares are fairly limited in what they can offer the employers that they're working with. And so we vetted, we had Anka Kalp... Our CIO was vetting five different systems a couple years ago. And in the midst of vetting those five different systems, we were introduced to Infor, right? As we began to see what this software could do, we started getting really excited. You talk about a differentiator in the workplace, nobody else has it, right? And so we started learning more and more the human capital management system for us, we started thinking, man if we could take this to employees-- employers, that have anywhere between 500 and 5,000 employees, this is a real differentiator for us, right? And so nope, like I said, nobody else in the PEO space has this software and it's been a tremendous opportunity for us to take to the marketplace. >> So that's kind of your sweet spot, 500 to 5,000? So not under 100, right? True SMB is kind of not your sweet spot? >> Well, actually we'll go all the way down to 20 employees. But the 20 employer companies, the resources that they have internally to be able to integrate the systems is a little more challenging. But we get it done. And so anywhere between 20 and probably 5,000 employees are the typical employer that we're working with. >> So what kind of integration items does a customer have to think about, specifically? >> So by integration-- >> You said, small companies don't have the resources to do the integration so what has to be done to do that integration? >> Yeah, so it's a lot of lifting, right? I mean, there's lots of work to be able to establish the systems with the employers that we're taking, you know, the software to. Just a lot of hands on between IronRoad and the companies that we're dealing with so the smaller companies are really focused on, you know, going out and doing whatever it is whether they're contractor, doctor's office. So to be able to have a resource that can dedicate the time, to be able to activate the system and make it do what they want it to do is somewhat challenging for the smaller employers. >> But wouldn't they have to do that with any outsource HR provider? >> They would. They may not be able-- they probably are not taking the software to the depth of its utilization or potential utilization. So they're kind of doing without it. >> So the bigger guy's getting more business value out of your offer. >> There's no doubt about it or the smaller guys, it just takes a little bit longer to get 'em there. That's really the challenge. They both get the same value, just takes a little bit longer. >> 21 years you been doing this. So, you've obviously seen business change. >> Not that old, I don't know how that happened. >> Well, you started very young. (laughing) >> I'm glad you said that. I wondered why they skipped me with the makeup. I thank you guys. >> Don't need it. We do. (laughs) So you been 21 years. >> Yes. >> So you've seen business change, right? >> Yes. >> You've seen technology change, right? >> Oof, night and day. >> So where now? Where are the pain points now? Because it seems like, oh we've solved all these problems, right? Automation, things are much easier. Well, there's always a, yeah, but. So what's the but now for your folks? >> Yeah, I think the biggest thing for us in our industry is getting the message out. When we look at PEOs in Ohio, for example, about 2% of the workforce is working with the PEO. Because they're so few of 'em out there doing it really well, getting that message out to the employer because once we get 'em, once they come in and they see, you know you said they got to do this if they're outsourcing HR anyhow. Once they become aware of what's available to them, they don't leave, right? >> So their pain's still the same. >> Pain's still the same. >> You're just trying to get out, to let them know, you can help. >> That's it, that's it. I think that's probably our biggest pain point is how do you get this message out and different parts of the country, obviously, you've got different attitudes towards or people move at different paces. In Ohio, there's still, I'm looking at David saying, what is PEO? I've never heard of it. I don't know if I trust you. And so overcoming that is probably our biggest obstacle. >> Billy, you talk a little bit about Infor, it's products. If I understand it correctly, you're both a consumer and essentially a reseller of the services, which means you're running on the Amazon Cloud so talk about your relationship there, why Infor, why the product, how does it compare? Because you probably evaluated everything. >> We did, yeah. Yeah, we did. You know, for us, like I said, we vetted five different companies that we were looking at. And when we had a chance to look at the Infor proposal, the differentiator for us not only was the software, from our perspective, far and above better than anything else that we were looking at. They provided us with an opportunity since we were purchasing the software to be able to provide an in-tenant solution for current clients that Infor has. So an Infor client that looks at the software and says, hey, I want this, and yet they're still outsourcing their payroll, now has the ability to buy the software and outsource the payroll to IronRoad. And so you're taking the best in class cloud suite services from a human capital management system to the marketplace. And partnering with a company like Infor that really is a dream come true for us. >> So what makes it best in class? I mean, you know, Oracle's got good software. You got SAP out there, Workday's the hot company. Why is Infor, you said, better? Why is it better? >> Yeah, I think for us, just the ease of the employer being able to utilize the system. You can have the best thing in the world and people are people are people are people, right? They got to be able to get on there and use the stuff. And so I think the ease of being able to just the user-friendly side of what Infor does. They certainly have every option you can imagine. The capability, the software is as good, if not better, than any. But the ability for people to pick it up quickly and be able to use and make it real for their small business, to me that's the key, right? >> Was the use of AWS Cloud a factor? >> Um... >> Was that kind of transparent to you? >> Yeah, yeah, yeah. Not really. Yeah, yeah. >> Is there an aha moment when you're out there when you are pitching? And when you look up people and the processes they go through and they been doing it the same way for decades? So when you break through, how do you know you've broken through? What is it that you use to break through? >> Yeah, yeah, yeah and for them, once we're able to articulate what this system actually does, there is an aha moment. And it's almost disbelief. It's because there's so many years of doing it the old way, right? And then they look and see it's kind of like me looking at the software that your company's created that was phenomenal, right? They're looking at it and go, come on, really? It really does that? And it's, yeah, it really does that. (chuckles) And we can do this different and you can go sell more widgets, right? >> Showing Billy our video search software, so I appreciate that. >> Amazing! I mean, it's unbelievable. >> It is. >> Yeah, Star Trek. >> So I want to ask-- >> Baiting myself. >> We're all in the same boat. >> I want to ask you about the resources that are required for you to do integration with Infor. Actually, so outside funding, other than the $8,000 that you put in, have you guys raised outside funding? >> David, that was a lot of money at the time, man. >> Yeah, no doubt. >> (laughs) A lot of money. >> You could do a lot with $8,000, but you can't build a full software suite so have you taken outside capital, or? >> We haven't. >> So, self-funded. >> Yeah, we're self-funded and frankly, fortunately, we've been able to manage through it. This partnership with Infor for us is a big big step for us, right? But at this point, we've been able to manage that without any funding outside and... >> Okay so it's not like an intense engineering effort, right? You're turnkey-ing this stuff largely. So you put more of your effort on onboarding clients from what I understand, right? >> Right and working with other Infor partners. Bails, for example, was our implementation manager and so our folks working with Bails to make sure because we've got hundreds of clients that in lots of different industries that we've got to go out and roll this implementation out into, right? And so it's a little different than the typical Infor arrangement because they're so many different industries represented just through IronRoad. >> And you guys dog food this? They don't like when I say dog food. Do you drink your own champagne? So you're utilizing your-- >> Much better. (chuckles) >> You're utilizing the Infor software in-house, correct? >> We are, we are, yeah, yeah. If, you know, from an implementation standpoint, easy to do that, right? You have somebody like Bails and Cyndian that has helped us, phenomenal at what they do, great partners for Infor. But then we've got to turn around and take that out to hundreds of different employers. So scaling that is a bit of a challenge. And again, depending upon the amount of resources that the different clients have, which all changes depending upon their size. But it's been great, yeah. So far so good, thank you so much Yeah, appreciate it. >> Well, Billy thanks for your time. We do appreciate it and I assume at Cincinnati, that you might be one of those long-suffering Bengals fans. >> Hey, time out! Hey, two in one. >> I know. >> Two in one, Andy Dalton. We're not big Carolina fans right now. >> One in two here in New England. >> You guys are trouble. >> Well, we'll see after this week. >> The 40-something maybe hit the big Tom. >> Alright. That discussion to continue off the air. Billy Southerland, IronRoad CEO. >> Thank you guys so much, yeah, enjoyed it. >> We'll continue. We are live here in Washington D.C. at Inforum 2018. Back with more on theCUBE in just a bit. (electronic music)
SUMMARY :
Brought to you by Infor. and thank goodness the sun's come out today. Outside of the fact that we got bumped from our hotel What you do and why you're here. Just great opportunity to partner with some So, services that you guys provide, so HR, payroll, so that they can go and focus on what they do. giving that employee the right guidance. And so the whole liability of being an employer I mean all that stuff, you can help with? So the whole ACA compliance with Obamacare and it's so important to the employees, right? And the employees are asking the same question, right? and then do the works. you just scale it, exactly right. Kind of clunky software and now you fast-forward to today, So one of the guys came to me and said, So kind of caveman like you said, David. So we're using the Infor Cloud base. As far as the number of organizations that you're serving. In regards to the question you asked, David, right? And so nope, like I said, nobody else in the PEO space the resources that they have internally to be able to So to be able to have a resource that can dedicate the time, they probably are not taking the software to the depth So the bigger guy's getting more business value They both get the same value, 21 years you been doing this. Well, you started very young. I thank you guys. So you been 21 years. Where are the pain points now? getting that message out to the employer to let them know, you can help. And so overcoming that is probably our biggest obstacle. and essentially a reseller of the services, So an Infor client that looks at the software and says, I mean, you know, Oracle's got good software. But the ability for people to pick it up quickly Yeah, yeah, yeah. And we can do this different and you can go so I appreciate that. I mean, it's unbelievable. the $8,000 that you put in, But at this point, we've been able to manage that So you put more of your effort on onboarding clients in lots of different industries that we've got to go out And you guys dog food this? (chuckles) So far so good, thank you so much that you might be one of those long-suffering Bengals fans. Hey, two in one. Two in one, Andy Dalton. That discussion to continue off the air. Back with more on theCUBE in just a bit.
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Rahul Pathak, AWS | Inforum DC 2018
>> Live, from Washington, D.C., it's theCUBE! Covering Inforum DC 2018. Brought to you by Infor. >> Well, welcome back. We are here on theCUBE. Thanks for joining us here as we continue our coverage here at Inforum 18. We're in Washington D.C., at the Walter Washington Convention Center. I'm John Walls, with Dave Vellante and we're joined now by Rahul Pathak, who is the G.M. at Amazon Athena and Amazon EMR. >> Hey there. Rahul, nice to see you, sir. >> Nice to see you as well. Thanks for having me. >> Thank you for being with us, um, now you spoke earlier, at the executive forum, and, um, wanted to talk to you about the title of the presentation. It was Datalinks and Analytics: the Coming Wave of Brilliance. Alright, so tell me about the title, but more about the talk, too. >> Sure. Uh, so the talk was really about a set of components and a set of transdriving data lake adoption and then how we partner with Infor to allow Infor to provide a data lake that's customized for their vertical lines of business to their customers. And I think part of the notion is that we're coming from a world where customers had to decide what data they could keep, because their systems were expensive. Now, moving to a world of data lakes where storage and analytics is a much lower cost and so customers don't have to make decisions about what data to throw away. They can keep it all and then decide what's valuable later. So we believe we're in this transition, an inflection point where you'll see a lot more insights possible, with a lot of novel types of analytics, much more so than we could do, uh, to this point. >> That's the brilliance. That's the brilliance of it. >> Right. >> Right? Opportunity to leverage... >> To do more. >> Like, that you never could before. >> Exactly. >> I'm sorry, Dave. >> No, no. That's okay. So, if you think about the phases of so called 'big data,' you know, the.... We went from, sort of, EDW to cheaper... >> (laughs) Sure. >> Data warehouses that were distributed, right? And this guy always joked that the ROI of a dupe was reduction of investment, and that's what it became. And as a result, a lot of the so-called data lakes just became stagnant, and so then you had a whole slew of companies that emerged trying to get, sort of, clean up the swamp, so to speak. Um, you guys provide services and tools, so you're like "Okay guys, here it is. We're going to make it easier for you." One of the challenges that Hadoop and big data generally had was the complexity, and so, what we noticed was the cloud guys--not just AWS, but in particular AWS really started to bring in tooling that simplified the effort around big data. >> Right. >> So fast-forward to today, and now we're at the point of trying to get insights-- data's plentiful,insights aren't. Um, bring us up to speed on Amazon's big data strategy, the status, what customers are doing. Where are we at in those waves? >> Uh, it's a big question, but yeah, absolutely. So... >> It's a John Furrier question. (laughter) So what we're seeing is this transition from sort of classic EDW to S3 based data lakes. S3's our Amazon storage service, and it's really been foundational for customers. And what customers are doing is they're bringing their data to S3 and open data formats. EDWs still have a role to play. And then we offer services that make it easy to catalog and transform the data in S3, as well as the data in customer databases and data warehouses, and then make that available for systems to drive insight. And, when I talk about that, what I mean is, we have the classic reporting and visualization use cases, but increasingly we're seeing a lot more real time event processing, and so we have services like Kinesis Analytics that makes it easy to run real time queries on data as it's moving. And then we're seeing the integration of machine learning into the stacks. Once you've got data in S3, it's available to all of these different analytic services simultaneously, and so now you're able to run your reporting, your real time processing, but also now use machine learning to make predictive analytics and decisions. And then I would say a fourth piece of this is there's really been, with machine learning and deep learning and embedding them in developer services, there's now been a way to get at data that was historically opaque. So, if you had an audio recording of a social support call, you can now put it through a service that will actually transcribe it, tell you the sentiment in the call and that becomes data that you can then track and measure and report against. So, there's been this real explosion in capability and flexibility. And what we've tried to do at AWS is provide managed services to customers, so that they can assemble sophisticated applications out of building blocks that make each of these components easier, and, that focus on being best of breed in their particular use case. >> And you're responsible for EMR, correct? >> Uh, so I own a few of these, EMR, Athena and Glue. And, uh, really these are... EMR's Open Source, Spark and Hadoop, um, with customized clusters that upbraid directly against S3 data lakes, so no need to load in HDFS, so you avoid that staleness point that you mentioned. And then, Athena is a serverless sequel NS3, so you can let any analyst log in, just get a sequel prompt and run a query. And then Glue is for cataloging the data in your data lake and databases, and for running transformations to get data from raw form into an efficient form for querying, typically. >> So, EMR is really the first service, if I recall, right? The sort of first big data service-- >> That's right. >> -that you offered, right? And, as you say, you really begin to simplify for customers, because the dupe complexity was just unwieldy, and the momentum is still there with EMR? Are people looking for alternatives? Sounds like it's still a linchpin of the strategy? >> No, absolutely. I mean, I think what we've seen is, um, customers bring data to S3, they will then use a service, like Redshift, for petabyte scale data warehousing, they'll use EMR for really arbitrary analytics, using opensource technologies, and then they'll use Athena for broad data lake query and access. So these things are all very much complimentary, uh, to each other. >> How do you define, just the concept of data lakes, uh, versus other approaches to clients? And trying to explain to them, you know, the value and the use for them, uh, I guess ultimately how they can best leverage it for their purposes? How do you walk them through that? >> Yeah, absolutely. So, there's, um. You know, that starts from the principles around how data is changing. So before we used to have, typically, tabular data coming out of ERP systems, or CRM systems, going into data warehouses. Now we're seeing a lot more variety of data. So, you might have tweets, you might have JSON events, you might have log events, real time data. And these don't fit traditional... well into the traditional relational tabular model, ah, so what data lakes allow you to do is, you can actually keep both types of the data. You can keep your tabular data indirectly in your data lake and you can bring in these new types of data, the semi-structured or the unstructured data sets. And they can all live in the data lake. And the key is to catalog that all so you know what you have and then figure out how to get that catalog visible to the analytic layer. And so the value becomes you can actually now keep all your data. You don't have to make decisions about it a priori about what's going to be valuable or what format it's going to be useful in. And you don't have to throw away data, because it's expensive to store it in traditional systems. And this gives you the ability then to replay the past when you develop better ideas in the future about how to leverage that data. Ah, so there's a benefit to being able to store everything. And then I would say the third big benefit is around um, by placing data and data lakes in open data formats, whether that's CSV or JSON or a more efficient formats, that allows customers to take advantage of best of breed analytics technology at any point in time without having to replatform their data. So you get this technical agility that's really powerful for customers, because capabilities evolve over time, constantly, and so, being in a position to take advantage of them easily is a real competitive advantage for customers. >> I want to get to Infor, but this is so much fun, I have some other questions, because Amazon's such a force in this space. Um, when you think about things like Redshift, S3, Pedisys, DynamoDB...we're a customer, these are all tools we're using. Aurora. Um, the data pipeline starts to get very complex, and the great thing about AWS is I get, you know, API access to each of those and Primitive access. The drawback is, it starts to get complicated, my data pipeline gets elongated and I'm not sure whether I should run it on this service or that service until I get my bill at the end of the month. So, are there things you're doing to help... First of all, is that a valid concern of customers and what are you doing to help customers in that regard? >> Yeah, so, we do provide a lot of capability and I think our core idea is to provide the best tool for the job, with APIs to access them and combine them and compose them. So, what we're trying to do to help simplify this is A) build in more proscriptive guidance into our services about look, if you're trying to do x, here's the right way to do x, at least the right way to start with x and then we can evolve and adapt. Uh, we're also working hard with things like blogs and solution templates and cloud formation templates to automatically stand up environments, and then, the third piece is we're trying to bring in automation and machine learning to simplify the creation of these data pipelines. So, Glue for example. When you put data in S3, it will actually crawl it on your behalf and infer its structure and store that structure in a catalog and then once you've got a source table, and a destination table, you can point those out and Glue will then automatically generate a pipeline for you to go from A to B, that you can then edit or store in version control. So we're trying to make these capabilities easier to access and provide more guidance, so that you can actually get up and running more quickly, without giving up the power that comes from having the granular access. >> That's a great answer. Because the granularity's critical, because it allows you, as the market changes, it allows you... >> To adapt. To move fast, right? And so you don't want to give that up, but at the same time, you're bringing in complexity and you just, I think, answered it well, in terms of how you're trying to simplify that. The strategy's obviously worked very well. Okay, let's talk about Infor now. Here's a big ISP partner. They've got the engineering resources to deal with all this stuff, and they really seem to have taken advantage of it. We were talking earlier, that, I don't know if you heard Charles's keynote this morning, but he said, when we were an on prem software company, we didn't manage customer servers for them. Back then, the server was the server, uh software companies didn't care about the server infrastructure. Today it's different. It's like the cloud is giving Infor strategic advantage. The flywheel effect that you guys talk about spins off innovation that they can exploit in new ways. So talk about your relationship with Infor, and kind of the history of where it's come and where it's going. >> Sure. So, Infor's a great partner. We've been a partner for over four years, they're one of our first all-in partners, and we have a great working relationship with them. They're sophisticated. They understand our services well. And we collaborate on identifying ways that we can make our services better for their use cases. And what they've been able to do is take all of the years of industry and domain expertise that they've gained over time in their vertical segments, and with their customers, and bring that to bear by using the components that we provide in the cloud. So all these services that I mentioned, the global footprint, the security capabilities, the, um, all of the various compliance certifications that we offer act as accelerators for what Infor's trying to do, and then they're able to leverage their intellectual property and their relationships and experience they've built up over time to get this global footprint that they can deploy for their customers, that gets better over time as we add new capabilities, they can build that into the Infor platform, and then that rolls out to all of their customers much more quickly than it could before. >> And they seem to be really driving hard, I have not heard an enterprise software company talk so much about data, and how they're exploiting data, the way that I've heard Infor talk about it. So, data's obviously key, it's the lifeblood-- people say it's the new oil--I'm not sure that's the best analogy. I can only put oil in my house or my car, I can't put it in both. Data--I can do so many things with it, so, um... >> I suspect that analogy will evolve. >> I think it should. >> I'm already thinking about it now. >> You heard it here first in the Cube. >> You keep going, I'll come up with something >> Don't use that anymore. >> Scratch the oil. >> Okay, so, your perspectives on Infor, it's sort of use of data and what Amazon's role is in terms of facilitating that. >> So what we're providing is a platform, a set of services with powerful building blocks, that Infor can then combine into their applications that match the needs of their customers. And so what we're looking to do is give them a broad set of capabilities, that they can build into their offerings. So, CloudSuite is built entirely on us, and then Infor OS is a shared set of services and part of that is their data lake, which uses a number of our analytic services underneath. And so, what Infor's able to do for their customers is break down data silos within their customer organizations and provide a common way to think about data and machine learning and IoT applications across data in the data lake. And we view our role as really a supporting partner for them in providing a set of capabilities that they can then use to scale and grow and deploy their applications. >> I want to ask you about--I mean, security-- I've always been comfortable with cloud security, maybe I'm naive--but compliance is something that's interesting and something you said before... I think you said cataloging Glue allows you to essentially keep all the data, right? And my concern about that is, from a governance perspective, the legal counsel might say, "Well, I don't "want to keep all my data, if it's work in process, "I want to get rid of it "or if there's a smoking gun in there, "I want to get rid of it as soon as I can." Keep data as long as possible but no longer, to sort of paraphrase Einstein. So, what do you say to that? Do you have customers in the legal office that say, "Hey, we don't want to keep data forever, "and how can you help?" >> Yeah, so, just to refine the point on Glue. What Glue does is it gives you essentially a catalog, which is a map of all your data. Whether you choose to keep that data or not keep that data, that's a function of the application. So, absolutely >> Sure. Right. We have customers that say, "Look, here are my data sets for "whether it's new regulations, or I just don't want this "set of data to exist anymore, or this customer's no longer with us and we need to delete that," we provide all of those capabilities. So, our goal is to really give customers the set of features, functionality, and compliance certifications they need to express the enterprise security policies that they have, and ensure that they're complying with them. And, so, then if you have data sets that need to be deleted, we provide capabilities to do that. And then the other side of that is you want the audit capabilities, so we actually log every API access in the environment in a service called CloudTrail and then you can actually verify by going back and looking at CloudTrail that only the things that you wanted to have happen, actually did happen. >> So, you seem very relaxed. I have to ask you what life is like at Amazon, because when I was down at AWS's D.C. offices, and you walk in there, and there's this huge-- I don't know if you've seen it-- there's this giant graph of the services launched and announced, from 2006, when EC2 first came out, til today. And it's just this ridiculous set of services. I mean the line, the graph is amazing. So you're moving at this super, hyper pace. What's life like at AWS? >> You know, I've been there almost seven years. I love it. It's been fantastic. I was an entrepreneur and came out of startups before AWS, and when I joined, I found an environment where you can continue to be entrepreneurial and active on behalf of you customers, but you have the ability to have impact at a global scale. So it's been super fun. The pace is fast, but exhilarating. We're working on things we're excited about, and we're working on things that we believe matter, and make a difference to our customers. So, it's been really fun. >> Well, so you got--I mean, you're right at the heart of what I like to call the innovation sandwich. You've got data, tons of data, obviously, in the cloud. You're a leader and increasingly becoming sophisticated in machine intelligence. So you've got data, machine intelligence, or AI, applied to that data, and you've got cloud for scale, cloud for economics, cloud for innovation, you're able to attract startups--that's probably how you found AWS to begin with, right? >> That's right. >> All the startups, including ours, we want to be on AWS. That's where the developers want to be. And so, again, it's an overused word, but that flywheel of innovation occurs. And that to us is the innovation sandwich, it's not Moore's Law anymore, right? For decades this industry marched to the cadence of Moore's Law. Now it's a much more multi-dimensional matrix and it's exciting and sometimes scary. >> Yeah. No, I think you touched on a lot of great points. It's really fun. I mean, I think, for us, the core is, we want to put things together the customers want. We want to make them broadly available. We want to partner with our customers to understand what's working and what's not. We want to pass on efficiencies when we can and then that helps us speed up the cycle of learning. >> Well, Rahul, I actually was going to say, I think he's so relaxed because he's on theCUBE. >> Ah, could be. >> Right, that's it. We just like to do that with people. >> No, you're fantastic. >> Thanks for being with us. >> It's a pleasure. >> We appreciate the insights, and we certainly wish you well with the rest of the show here. >> Excellent. Thank you very much, it was great to be here. >> Thank you, sir. >> You're welcome. >> You're watching theCUBE. We are live here in Washington, D.C. at Inforum 18. (techno music)
SUMMARY :
Brought to you by Infor. We're in Washington D.C., at the Walter Washington Rahul, nice to see you, sir. Nice to see you as well. and, um, wanted to talk to you about the title and so customers don't have to make decisions about That's the brilliance of it. Opportunity to leverage... So, if you think about the phases of so called 'big data,' just became stagnant, and so then you had a whole So fast-forward to today, and now we're at the point of Uh, it's a big question, but yeah, absolutely. and that becomes data that you can then track so you can let any analyst log in, just get a customers bring data to S3, they will then use a service, And the key is to catalog that all so you know what you have and the great thing about AWS is I get, you know, and provide more guidance, so that you can actually Because the granularity's critical, because it allows They've got the engineering resources to deal with all this and then they're able to leverage And they seem to be really driving hard, it's sort of use of data and what Amazon's role is that match the needs of their customers. So, what do you say to that? Whether you choose to keep that data or not keep that data, looking at CloudTrail that only the things that you I have to ask you what life is like at Amazon, and make a difference to our customers. Well, so you got--I mean, you're right at the heart And that to us is the innovation sandwich, No, I think you touched on a lot of great points. I think he's so relaxed because he's on theCUBE. We just like to do that with people. We appreciate the insights, and we certainly Thank you very much, it was great to be here. We are live here in Washington, D.C. at Inforum 18.
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Kevin Curry, Infor | Inforum DC 2018
(upbeat music) >> Live from Washington, D.C., it's theCUBE, covering Inforum D.C. 2018, brought to you by Infor. >> Well, back here on theCUBE, we are at Inforum '18. We're in Washington, D.C. here in the Walter Washington Convention Center. Not far from the White House. It's about a mile that way, and Capitol Hill's about a mile that way, I think. I know we're right in here, but I know we are smack dab in the middle of it. Dave Vellante and John Walls and Kevin Curry, who's the SVP of the global public sector at Infor. Good to have you with us. Good to see you, sir. >> Great to be here. Thanks for your time. >> So public sector, you're in the heart of it here, and you were telling us before we went on the air that you've got more than 700 clients here at the show this week? >> We do, we do. It's the best attendance we've had yet for Inforum, and I joined about six and a half years ago. And we built this business pretty much from the ground up. So it's been a great experience, and now we're starting to get a lot of adoption within the government, across the government, from federal to state to locals. >> What's the process been like, especially across those three, because I assume they're all different? You know, local, state, federal, everybody has different pain points and there's different tolerances. >> They do, they do. I mean, there's different micro-verticals within each of those statements. As an example, if you look at local governments, it could be anything from transit agencies to K-12 schools, to public works, to police, to fire. They all have all different requirements. State's the same thing, whether it's Department of Transportation or Department of Health and Human Services. And then when you get the federal side of it, then it's from the intelligence community to Department of Defense, healthcare within Defense, like the VA and DoD and Defense agencies as well. So it's a pretty wide swatch of use cases and business cases that you need to be able to sell to. >> Charles said something interesting in the keynote today. I want to ask you about it. He said, "We made a strategic decision to go to the cloud. "We didn't want to compete with Google "and Amazon and Microsoft for CloudScale. "That didn't make any sense for us." And he said, "When we were an on-prem software vendor, "we weren't managing servers for our customers." Now what struck me there is if you look back at the software company back in the day, they really didn't care about the server, right? It was just sort of infrastructure. It was kind of irrelevant to them. The cloud feels different. It seems like a more strategic relationship with Amazon. You know, we talk about Teresa Carlson and what a force she is in the government. AWS in the GovCloud has been a huge force. They had a giant lead. So have you been able to draft off that or is it just another sort of infrastructure platform? >> No, they're a major strategic partnership there with AWS and NN4. At the company level, and especially for me, with the government, they've made the right investments at the right time, I mean, and they actually have cloud environments that are very specific to different segments of the government and to different geographies. So as an example, in the federal government they have an intelligence cloud called C2S, which we work with them on. There's a very large procurement out right now for the Department of Defense called Jedi, which Amazon's going after, as well as the other larger cloud providers, so we're obviously riding that horse with AWS. And also for local governments, and they've done all of the compliancy for the government, whether it be FedRAMP, whether it be CJIS for those departments that are worried about the justice type of requirements. And as you get outside of the U.S., they're putting clouds and we're a global company as well, putting clouds in all the right places. They have a G-Cloud offering in the U.K. and as we talked about earlier when we sat down, they're opening a cloud in the Middle East right now too, in Bahrain that I think traces on oil over there as we speak. >> Right, right. The first Middle East country to claim cloud first. But it just seems like there's a strategic advantage there. And even with the other cloud suppliers. I mean, you know, Google's got its niche, big niche, you know, Microsoft, with its software state, but it seems like Amazon, they talk about that flywheel effect, brings certain technologies that, you know, when you talk to Soma, you guys have been able to take advantage of. It just feels a lot different than the old traditional server manufacturer. Oh, it's a Unix box and there's no difference between vendor A, B and C. >> Absolutely correct. And for us, we've taken advantage of the tools that Amazon has and obviously, we're doing all the compliancy on our applications and they've got whole the infrastructure piece of it, so the two work very well together. >> And that has allowed you to focus on your knitting, if you will. >> Yes. >> The things that you do best, which is a micro-verticals, suite across the application portfolio, bringing AI to the equation, automation, we heard a lot about robotic process automation, which is probably a hot topic in the government. >> Yes. I mean, Charles famously, he may have had a quote. I'm sure you heard it. It's friends don't let friends build data centers. >> Great quote. >> You know, that's not a business we're in. We're a software company. >> Right. >> So the public sector, obviously a different animal than the private sector. Very different needs, different constituents, you got tax payers, you got all that. When you bring the technology into the public sector, what does that do for it or how does that have to be, I don't know, re-conformed or adapted? And ultimately, what's the payoff, right? What's the return on that investment? >> So it was actually pretty shocking how quickly the government has adopted and moved towards the cloud. Typically, they're laggards. Everything happens in the commercial market and then government's a little bit of a late adopter, right? But we're seeing them very quickly go to the cloud and there's a lot of reasons for that. One being, you have an aging workforce. Okay, so the baby boomers are all retiring so a lot of that intellectual knowledge is going out the door. Two, is there's some economies of scale to be realized by doing that because once you're in the cloud, I mean, it's up to the vendor who's maintaining it to maintain that for you. So, you know, the people behind the scenes, they have to do it. You know, when you upgrade your software to go from one release to the other, it's automatically done for you. I mean, so there's real cost savings to be had, you know, from a care and feeding perspective there as well. Also a lot of the, on the ERP side of the things, a lot of the systems that are out in the marketplace today that governments have bought, like the Oracles or the SAPs, a lot of these systems are at end-of-life and the companies are no longer supporting them. So it's a re-implementation for them. You know, and so now they're looking, okay, if we have to re-implement and we have to look at our new options, we're going to do it in a cloud. >> So when you've been around as long as I have, Kevin, >> Right. >> you've seen the pendulum swing. You don't have to agree so vehemently. (laughing) But from mainframe to client server and so you're back to the cloud, and now with IoT, it seems like the pendulum is swinging back to a distributed environment. So help us understand where IoT fits to the cloud and even your on-prem business. >> Okay, so like I say, cloud is a pretty broad topic, okay? We have multiple applications that would run in that environment. So when I look at IoT, I think of things like our asset management platform. We have a very strong enterprise asset management platform that runs in the cloud or runs on-prem. And if you think about infrastructure as an example, which government has a lot of, okay. Think about the ability to have sensors on different pieces of equipment and being able to read that information. Think about using drone technology, okay, to be able to do physical inspections under bridges, so you're not having people having to climb around underneath there. I mean, so being able to do live feeds of data and be able to streamline the way you do business and have that automatically captured within an application. So yes, that is one area where we see it. I mean, I think you're going to see more and more of robotics and artificial intelligence and all the things come into play. I think you heard a lot about that here and it's here. I mean, they were things we saw in movies before but now the technology's here today. >> Well, the other thing we heard this morning that Charles has always talked a lot about the data. You guys always talked about your data lake. I like to think of it as a data ocean. You think about all the data out of GT Nexus and, you know, your customers that are providing data to inform. The data model starts to really expand and you guys have seemed to really take advantage of that. Talk about the data, the importance of data, the importance of securing data to the government. >> Well, think about that. I mean, there's islands of information that governments have that if they were able to consolidate that data and put some intelligence into it, be able to make business decisions versus, you know, one system sitting over here, one system sitting over here and none of them ever communicating or talking to each other. You know, the ability to, You could do from anything from, just think about crime statistics, okay? The ability to deploy resources where the crime is and then as it moves, be able to further deploy resources. You know, New York, years ago, did things like that with CompStat when they were cleaning up Times Square and so forth. But just think of that as a concept, realtime being able to manage data. >> So you've got, here at the show, we were talking about earlier, 700 and some odd clients, 725. You've got the federal forum for the first time. Why now? And what are you getting out of that or what do you hope to get out of that at the end of the week? >> So the whole executive team and our board of directors have made significant investments in this marketplace because they understand that government is a very large beast, if you will, and there's a lot of opportunity for deployment of our solutions and there's a real need to solve problems for constituents here as well. So they've made very significant investments in things for security like FedRAMP, compliancy. You know, some companies are doing it on some of their solutions. We're doing it across the board on all the products that we take to the government marketplace. So we're invested in it. You've probably heard today, Charles talked about the fact that we're going to have a federal cloud suite, which we are. So that means federal financials, okay? Actually being able to solve all the problems for the federal government and comply to all their needs and all the things that are part of mandated accounting for the federal government. They made all the right investments and human capital management would be another area. If you think about, we've got an application called Talent Science. The ability to hire the right people for the right job and retain those people. Just think about, ICE is a good example. You heard that they have to hire thousands of people to deploy on the borders, right? How do you quickly ramp and hire these right people if you don't have the right tools to do it? >> You were quoted in TIME magazine, Marc Benioff's new publication, about America's crumbling infrastructure. What role do you see technology playing generally and specifically in for software and helping with that problem? >> So we do a lot today around infrastructure. As an example, we have a very strong presence in transit agencies here in the U.S. New York City runs us, amounts to about a trillion dollars worth of assets there. So anything moving in, out or around the city, so subways, buses, trains, tunnels, bridges, Metro-North, Long Island Rail Road. L.A. runs us, San Francisco runs us, Chicago runs us, Dallas runs us and many others. So we're managing all of that infrastructure. So you hear a lot about infrastructure bills coming out of the federal government. And they're right. I mean, a lot of these tunnel, a lot of these bridges and tunnels and even roadways were built back during World War II, right? And they're aged, you know, they are starting to crumble and there's going to be a lot of money spent to do that and when it comes to rebuilding those types of things, there's a lot of assets that are going to need to be managed, you know, to do that. So we think there's a real opportunity for software such as what we bring to the marketplace to help with that process. >> How about talent retention? I mean, obviously, as administrations come and go, you know, people move, but there's been a lot of brain drain. I mean, take the Patent Office, people in commercial industry stealing some of the best and brightest out of government. Can software play a role in helping better retain, train, you know, evolve growth paths and careers? >> Yes. I guess, in a couple different ways. I mean, number one, I think the applications of today versus the applications of yesterday have changed so much. I mean, you look at, you know, the applications you have on your mobile phone. The ability to have that look and feel, I mean, our kids today are going to go into the workforce and they won't settle for anything less. They're going to want to have that look and feel. They're going to want to have those intuitive type of applications that help them do their job. And that's the kind of offering we're bringing to the marketplace. Then from just actually bringing the right people and we have an application called Talent Science, as an example, where actually there's multiple different areas of your personality that it can determine and map it back to your top performers in your company. And determine the right people for the right job where they'll fit into that environment and then they would thrive hopefully. And it should increase retention on the staff. In government, we've actually sold it to Department of Health and Human Services for hiring case workers. Okay? Or to police departments for hiring of law enforcement. So there's a real opportunity to take those types of applications and do some pretty creative things. >> What's, I hate to say, the pain side of it. But dealing with the government obviously contracts is an issue, right? And a challenge sometimes maybe for you. I'm curious, in a quickly evolving space such as yours, how do you help them keep up with you and their regulatory oversight and whatever mandated restrictions they have? All those things, you know, that come with government. It just doesn't square up with what you do. >> It is, it's a very, again, to your point, it's a different, it's a different industry with different requirements. And everything here is very open and above board. It's open procurements. Everything is competitively bid. There are contractual vehicles that you competitively bid for that'll allow you to be able to do business a lot easier in the future. I mean, in the feds you have things like the GSA 70 Schedule. U.K., you have something called the G-Cloud contract. A lot of states have vehicles where you can bid for it, so all states and local can buy off of those contracts without having to go to a competitive offering. So there's ways that the business can get done without having to go through a lot. >> Every hoop and every, yeah, right. >> The major pain process. But then there's also competitive RFPs, which, you know, well, they'll put a bid out, it'll be very detailed. You have to answer 3,000 requirements. And then after that you'll end up going into an orals and a demo process and, you know, nine months later, they're going to pick a winner. (laughs lightly) Then you go through, but then you have to go through a very painful contract negotiation process. >> That's the process I was talking about. (laughing) Exactly what I was talking about, right. >> Right. >> Yeah, yeah. Well, Kevin, thanks for being with us. We appreciate the time. >> It's my pleasure. >> And it sounds impressive, right, with the turnout you had, so I'm sure you're very, very pleased with the response you've had here on the show for so far. >> I am and I thank you for your time and >> You bet. >> have a good show. >> Look forward to seeing you down the road. Alright, sir, thank you. Back with more here live on theCUBE. We're at Inforum '18 and we are in Washington, D.C. >> I'm quite sure they got me pinned up back here, but I can't-- (upbeat music)
SUMMARY :
brought to you by Infor. Good to have you with us. Great to be here. from federal to state to locals. What's the process been like, And then when you get the federal side of it, So have you been able to draft off that So as an example, in the federal government I mean, you know, Google's got its niche, big niche, so the two work very well together. And that has allowed you to focus on your knitting, The things that you do best, I'm sure you heard it. You know, that's not a business we're in. or how does that have to be, I don't know, I mean, so there's real cost savings to be had, You don't have to agree so vehemently. and be able to streamline the way you do business the importance of securing data to the government. and then as it moves, be able to further deploy resources. And what are you getting out of that and there's a real need to solve problems and helping with that problem? and there's going to be a lot of money spent to do that I mean, take the Patent Office, and map it back to your top performers in your company. It just doesn't square up with what you do. I mean, in the feds you have things like You have to answer 3,000 requirements. That's the process I was talking about. We appreciate the time. with the turnout you had, Look forward to seeing you down the road.
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Martine Cadet, Infor & Jennifer Buchanan, CFO Soluitions | Inforum DC 2018
>> Live from Washington D.C, it's the Cube, covering inforum DC 2018 Brought to you by inforum. >> And welcome back to Washington D.C. I think you kind of guess where we are. [Mumbles] Over my shoulder there inforum 2018, along with Dave Vellante. I'm John Walls, we are live here at the Walter Washington convention center for this years show. We are joined by Martine Cadet, who is vice president of the educational arts program at Inform. Martine, good to see you. >> Thank you. >> And Jennifer Bucanan who is manger and head of the Inforum practice and CFO Solutions. Jennifer, good to see you. >> Thank You >> Let's talk about the program. Martine, ou can give us, first off, the inside scope of this. And then Jennifer you're on the other side of the fence. >> Right >> Because the very people, the individuals that Martine and her program are training, you're hiring. >> Absolutley. >> So I want to hear, first off lets talk about the program in general and then to you, Jennifer for about why. And what do you find really attractive about these people? >> Absolutley >> So the Education Alliance Program is 4 years old this year actually, so we're very excited about that. And what we really set out to do was build a talent pipeline that our company and our ecosystem of partners and customers can tap into. So there's been a lot of conversation about the fact that there's not enough talent to fill the positions that are in the industry. So we wanted to do something different where by we could actually grow that talent organically. So instead of going to the oricals and the SAP And having that revolving desk of okay we can leave this here and go to this competetor and work for them and be experienced. We need to find another way to be able to grow our talent so that as an organization, we can continue to be innovative and grow as we move forward. So EAP really kind of serves within that gap, but we do it a little differently than some of the other programs. We really focus on not just identifying talent, but really training them on the industry skill set. So what people `learn in school is amazing, but it is usually more theory. How do you take that theory and really apply it to what is really needed in the industry today, In a real job today? And that where the Education Alliance Program really kind of serves that niche. >> And generally speaking, the age group would be what? Of the trainees. >> The majority of the people that we train are more college age. So 18 all the way up to, I would say early 30's. So early in career talent is what we think about. >> Okay, are they in school? >> Some of, yeah. >> The majority of them right now are in school, but we also welcome people who are outside of school. We've kind of evolved our program where its not just partnerships with colleges and universities, but we train people who come from training organizations; like Yes We Code, and New York Urban League and things of that nature. And You're Up is another great partnership that we started having relationships with. So we do everything from the traditional integrate within a classroom setting, to more of a bootcamp model where talent gets trained over the course of a couple of months to meet this business needs that we have and are here now. >> Okay, and so Jennifer, then on the hiring side of this the advantage to you is what? >> Well for us, we are always looking for folks that coming out of school, whether it's a masters degree or a bachelors degree, that they have a little bit of a focus going into consulting and implementation services. There's a mix of skills that you look for. Some of it is that commitment to being a forthcoming service orientated person. Somebody with a little bit of perspective. And when we met the EAP students, that ambition just comes right out of those folks. And they have purpose in mind because they started to get a little bit of a taste of the real world of what they want to do. So they've got context and they've got direction and a lot of the folks that we've met with had some good accounting and finance knowledge, which we value. Plus they had the IT component, where traditionally if I just go to try to do some campus recruiting I might get one or the other, but it's hard to get both. >> So training that revolving door, that martine described which, there's still some of that going on, but you get a lot of viable knowledge. You know where the skeletons are buried. They can fast pass some of it. Trading that for excitement, diversity, maybe a different type of creativity. Certainly not as much well that's the way it's done in the enterprise. Right? Maybe discuss that a little bit. >> Yeah absolutley, the folks that, what we need coming in have that creative element and they're not just, ya know, crunching out and doing maybe the theory that you have mentioned. They've had a little bit of experience at a practical site of understanding how to apply technology and solve buisiness problems. Cause that experience that they go through in the EAP program is almost like a simulation and gives them a little taste of that. And when we talk about what we do and we introduce them to our business and try to look for a fit. They have a better understanding of what we are talking about and do. >> So Martine, in the 4 years since we've first met, what has changed? Has the scope, the goals expanded? What did you not forget that actually happened? >> Yeah Maybe you could share some of your experiences. >> Yeah, so in the four years we've gone deeper around world based training. So when we started, it was more around exposing students to different career opportunities, to what is EAP. I've been in the industry forever, but I was always more on the consumer side. So I didn't know what ERP was. [Laughing] Is this even professional? So helping students see the opportunities there, was kind of the initial focus and getting them to have kind of a toe in the water. We've gone much deeper this year, in particular going to role based training. So, what do you need? What skills encompanies you to be an amazing sales professional versus somebody who's going into the development space, or somebody who's going to manage kind of the cloud space, which is where our company is focused. So that's been one of the biggest evolutions in which we have done within EAP over the last couple years and were much more global than we were when we first started. So we are excited about that as well. And then in terms of things that surprised us. I think of of the areas that surprised us, it was a little bit harder to place students frankly, than we had initially had thought it would be. And so one of the ways that we've worked through that is we've worked with our talent science team, and they've been phenomenal at really helping identify fit. And so now we can have much richer conversations with the hiring managers around. Yes, I know that you would like an expereinced hire perhaps, but this is a reason why one of these more inexperienced hires is actually a great fit and will be your next superstar on you team. And on the flip side, we can have conversations with the talent around career opportunities that they might not have even thought about before. Cause now we've got kind of there fit for different roles. >> So were certainly seeing in many buisiness settings, that gut feel is being replaced by, you know, data and fact. When it comes to hiring people though, there's still that, well there's several things. There's gut feel, there's repor, there's biases, so are technologies like machines intelligence, and programs like this cutting through that? >> Yeah that's what we're trying to have happen. I mean it's hard, it's hard. Everyones trying to tackle these issues, but with technologies like talent signs, with having programs which address the feedback of well I don't know where to find a first talent. Well if you go to the same three schools that you always go to, that are by nature not diverse, then you're not going to find the diverse talent you are looking for. So if you can tap into a program where we go out of our way to make sure we're actually fishing in new ponds, and that we're bringing in amazing talent to the forefront that people can tap into. And we are really proud about that. >> Well, what's really key about that, and we were having this conversation earlier. Is that if you really want to bring diversity into your organization, you have to look beyond your inner circle. But it's a pain to do that, its time consuming. So what you've done, is you've fast passed that. Right? And give an opportunity for somebody to dive in. >> Yeah >> Yeah >> Sure, and some of those folks became part of our circle. Cause a year ago we met a wide group of the folks in the EAP program, and we were impressed by the broadness. Like I mentioned earlier, you've got some folks that are still sophomore, junior year that are just getting started. We've got relationships foudning with those folks. We have folks that are just getting ready to graduate, and we have folks that have been in the workplace, came back. So we've got a breath of experience, but folks from all over. And we were one of those folks who would go to the same school over and over. And you know, we would get good talent but, it's that breath, and that new perspective that comes in. And now that's our pipeline. We've got folks at different levels in their educational career that we stay in touch with. And a lot of the students reaching back to us is what helped us make connections for folks to bring on. >> So how do you find me? If I'm an interested student? >> Yeah >> Or how do I find you? >> Yeah >> If I am at a school. That's one question, and secondly once I'm in, is it like ROTC? Like I have a three year commitment after that? [Laughing] [Mumbling] >> You're invested in me. >> That's a great idea. [Laughing] >> A lot of resource time is being put into me, developing me, so what am I going to give you back? >> Yeah absolutely. >> Take on both of those if you would. >> Its more about finding the member institutions and then finding me the right talent within those organizations. Right? And so we do a lot of research and analysis on where we want to go. So we do want to make sure we are building pipelines that fit the busininesses needs first and foremost. So where do we have a majority of our offices? Where do our partners and customers have a majority of their offices? Where are the hiring needs and the types of roles? Then based on that we look for organizations that actually have core programs that align to that. And those are the ones that we want to have relationships with first and foremost. And then we seek out the talent. We actually have marketing communications people who are out there and promoting the courses and the partnerships that we have in the classroom to hopefully get the talent to actually apply to the class itself.. >> Alright so once I'm in. >> Once your in. >> You've got me. >> Yeah. >> I'm a junior, I'm studying, I'm doing my thing. >> Yeah. >> You're training me. Well I'm going to graduate in a year. So am I on the hook, or will you place me? >> We investin their training, and we also try to provide wrap around support services. So we've got people on the team who are beyond passionate and focused on making sure they've got the soft skills, who are also focused on making sure they are introduced to hiring managers within our ecosystem and within our organization who might be interested in talking to them. We set up kind of meet and greets as well, where we have events around that so placements important to us. We can't commit and guarantee a role per say, but we can open up opportunities perhaps the students didn't have before. And give them the training so that when they are compared against their peer, they can come out ahead. >> So having that Charles several times and interviewing him a number of times, this is, it certainly feels more than optics. What are the success metrics that you look at, and can you share some with us? >> Yeah, so we do look at how many people we actually trained and made it through the program. We look at how many people have been placed within Inforum as well as our ecosystem. We are looking to see how many students will actually pursue a path to certification, and go through the deeper training and learning. And then we look and see how many people are actually liking the program. Like what they're getting out of it. We'd love to see, I'd personally love to see in a couple years that people will have gone through EAP are now future customers, your future partners. You know, placement is one piece, but its also how are we influencing the industry as a whole? And for competitors, hiring EAP students, that actually goodness. Like we are trying to really change what is going on in the injustry perspective on how we grow and change talents. Because the way its working today doesn't work for everybody. So we've got to do something different. And the fact that Inforum has stepped up to actually grow it organically, I think is you know, a testimony to Charles. >> Great mindset, I mean you're not trying to just hang on and you're certainly embracing this. But if when an individual leaves, to whether even a competitor, there's some pride in that. Like hey we trained this individual and we're changing the industry. And you know, sometimes those things just have a way of coming back around. >> Yes, yeah, yes >> Absolutely >> So Jennifer, from the clients side if you will, how big could this program be for you? Like how helpful has it been, and how much more do you need it in order to meet these employee gaps? Cause as we've heard, the numbers aren't adding up right now. >> Right, right. So for us we've been having some conversations about how do we grow together on this? They've offered to say hey, CFO Solutions, would you like to be involved in some of the teaching opportunities? So we've been having dialouge about how that might be. And we've been talking about particular skill sets. You know, they start out with kind of a broad skill set and we work with a very specialized component of that. So we've been talking about the product mix that they involve in their program and bringing something more direct to what we're working with. So that's a big. >> Personalized learning. >> Yes. So its helping us kind of refine our pipeline because we know what's going to be coming out of it and we know that is is getting that slice of this US and the world if necessary right? It gives us a little assurity that we can get folks at different levels of their career. We can start talking to them now and we can start working with these guys on honing the skillset that they'll be coming in with. The soft skills piece that you had mentioned earlier was on of the real standout skills that we saw come out of this. All these folks, I can't overemphasize the driviness, the commitment they had, the communicating with me over a year period. And they're boldness, cause that's one of the main things that we need out of the folks that we bring and put in front of our clients. >> So this is all awesome, touchy feely stuff too, but at the end of the day, I've read that it has a buisiness impact. >> Absolutely, absolutley. >> So what's your experience been in terms of the bottom line? >> Well, so buiness impact wise, when we take a risk and bring somebody fresh out of school, and we bring him to a porject where you require very specialized skills, we need people that we can take a risk on, who will hit the ground running. So if I go and grab somebody from anywhere, I don't know what I'm going to get. I don't know if they're going to like their career. I don't know if they're going to understand what we are doing. And there's a lot of ramp up time, time before I can bill for that source, just to be practical. And when we bring in Eap students, I know they've had a taste of it, and they're ambitious and driven for it. And I can get them billable more quickly. And then I can be proud to have them out in front, because they can tell a story. A lot of this is a relationship business. I can have them come to a project kickoff and they can talk about what they've come from. And that they've had an involvement with Inforum, not just hey I'm fresh out of school. I don't know what I'm doing here. It's hey, I've been working with a product for a couple years. Even now and they hit the ground running just so much more quickly. >> So faster time to value. >> Yes, faster time to value. We've seen internally for the folks we've hired, that we've got one hundred percent voluntary retention rate. >> That's amazing. >> For early retention rate. For early career talent, four years into the program, where that's about 20% better than the rest of the talent that we have, right? So we're looking at retention, cause we know if you lose somebody, that's nine months of salary probably to replace them and to retrain somebody else. >> That's right, yes >> Absolutely >> Much easier to hang onto somebody than go find somebody new. >> Okay so you're getting the billing faster, higher quality, I heard. Which means better customer retention and less employee turnover. >> Less employee turnover. >> Which means lower cost. >> Absolutely. >> And on the recruiting side of things too, the development of trying to find talent, there's a lot of time invested and we're a firm that has a very lean operations team. A lot of us wear many hats. So one of my hats is my recruiting and development, and this just streamlines things for me and makes it so much easier. I don't have to spread myself thin trying to find folks. I know I've got kind of a pipeline and I've been sharing it with my other leadership in the other practices to kind of share that along the firm >> And to put it in context, I mean so for the trainings that are around rules and careers, were looking at getting the students to have 200 plus hours of training over bootcamp experience. Now, put that against somebody else who has zero right? You're getting to faster productivity, you're shaving off anywhere from 3 to 4 to 6 months of on boarding time by hiring somebody through this program. >> Yeah. >> And minimizing on boarding frustration which would help. >> Yeah, yeah. >> Sympathize with. >> Makes perfect sense. Great sounding program, we appreciate the insight today. Thanks for being with us. >> Martini- Yeah, thank you. >> And you're wearing many hats, you'll need a rain hat out there today. >> I will, I will. [Laughing] >> Congratulations. >> One more, yeah. Great program, thank you ladies. We're back with more on Live. The Cube is in Washington D.C at Inforum 2018.
SUMMARY :
Brought to you by inforum. of the educational arts program at Inform. Jennifer, good to see you. Let's talk about the program. Because the very people, the individuals the program in general and then to you, So instead of going to the oricals and the SAP And generally speaking, the age group would be what? The majority of the people that we train are to meet this business needs that we have and a lot of the folks that we've met with had it's done in the enterprise. and doing maybe the theory that you have mentioned. Maybe you could share some of your experiences. And on the flip side, we can have conversations When it comes to hiring people though, And we are really proud about that. And give an opportunity for somebody to dive in. And a lot of the students reaching back to us Like I have a three year commitment after that? That's a great idea. and the partnerships that we have in the classroom So am I on the hook, or will you place me? and we also try to provide wrap around support services. What are the success metrics that you look at, And the fact that Inforum has stepped up And you know, sometimes those things just have a way So Jennifer, from the clients side if you will, something more direct to what we're working with. We can start talking to them now and we can start but at the end of the day, and we bring him to a porject where you We've seen internally for the folks we've hired, the rest of the talent that we have, right? Much easier to hang onto somebody and less employee turnover. in the other practices to kind of share that And to put it in context, I mean so for the the insight today. And you're wearing many hats, I will, I will. Great program, thank you ladies.
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Keynote Analysis | Inforum DC 2018
>> Live from Washington DC, it's theCUBE. Covering Inforum DC 2018. Brought to you by Infor. >> Well, welcome to the nation's capital, a rain soaked Washington DC. We're here for Inforum 18, Dave Vellante, John Walls We're in the Walter Washington Convention Center. The fourth time, theCUBE has been at an Infor show and getting bigger and better than ever, David. >> That's right John. This is, let's see, the first one was in New Orleans several years ago. Then Infor skipped a year, and then did Javits couple years in a row. That's sort of the headquarters of where Infor is, very close to the Javits Center. And Charles Phillips, of course, lives in New York City. And this year they decided to come to the nation's capital. I mean, Infor is an interesting company. About $3billion in revenue, essentially it is a private equity roll up. From Golden Gate and others, that really the roots of it are in Lawson Softwares. Some of you may remember Lawson Softwares, the enterprise software company. And then Charles Phillips came on, and of course he was the architect of Oracle's M and A. Probably spent $30 plus billion for Larry Ellison, remaking Oracle. Completely transforming Oracle, brought some of that expertise to Infor in this private equity play, this roll up. And then bought many, many software companies, rolled them up together and really started to compete, using a different model. So, Infor's sort of expertise, if you will is around so called Micro verticals, so they cover a lot of different industries, hospitality industries, they got also manufacturing, ERP, >> Retail financial >> Retail financial, health care, and then they also have horizontal applications like Human Capital management. Their differentiation, is several fold. One major point is they go after what they call the last mile. So they call this micro verticals. So the last mile functionality that would normally have to be customized, Infor does that work for you. Now, the advantage of that is two fold. One is you don't have to do a bunch of custom mods all that hard work is done. The second is, another part of the differentiation is cloud. So they chose, several years ago to go with AWS cloud to put their SaaS on the cloud. Charles Phillips said 'hey when we were an on-prem software company, we didn't manage our own servers for our customers. Or manage customer servers, we didn't do that. So why would we do it in the cloud? We don't want to compete with Google and Microsoft and Amazon in terms of scale, so were going to put our software on the Amazon cloud.' So that's another point of differentiation, the reason that is so important in the context of custom mods, is if you're rolling out new upgrades on a periodic basis, and you hear this a lot from Servicenow customers, for example another cloud software company. You can't do custom mods and then take advantage of the new releases. Because you're going to be way behind. Okay, so you have to have that hard work done so that you can avoid those custom modification. And that is something Infor has been very proud of. So as I say, $3billion company. Last year they took a $2billion investment from Koch industries. Now that investment, largely went to recapitalising the company, the private equity guys probably took some money off the table as did the four, what I call the four horsemen. They were the four, sort of new founders of Infor including Charles Phillips, Pam Murphey who is still there and then two others Duncan Angove and Stephan who have left the company, so they have got some succession planning now. We saw a different, two new faces up on stage Soma and we're going to have some other folks on that we'll introduce you to. But so, now we're entering a new phase and it's the phase of what Charles Phillip's coined 'Human Potentials'. So big focus this year on human capital management, we heard that. Big focus on AI, they talked a lot about robotic process automation. I just had a meeting, last night at the airport in DCA with the head of marketing at an RPA company, UiPath, they are smoking hot, they just raised 225 million they have gone from 2 million to 200 million over night. And that space is exploding, it was interesting to hear Charles Phillips talk a lot today about Robotic process automation, RPA. Which is essentially software >> Break that down for me. >> So RPA is software robots and software robots are used to automate mundane tasks. Having machines do very specific tasks and you are seeing this a lot in financial services and a lot of back office automation. It's not physical robots moving around, it's basically software based processes that machines can do. Repetitive processes, that machines can do better. Machines don't get tired, so they can do these repetitive tasks, take that away those mundane tasks away from humans. You heard a lot of conversation about that today. You also heard a little competitive fire. So Oracle is now taking ads out against Infor, we've seen that. All the cabs here, many of the cabs have Oracle branding on them. So Oracle is paying attention to Infor. >> And they're right down the road here too, by the way. You know, I mean, Western Virginia not far so this is their backyard. >> Well congratulations Infor, Oracle is paying attention to you that means, must mean you're hurting them We've seen this before with others, I mean we certainly saw it, you know in past days with IBM, we see it extensively with Workday. We've seen some kind of, tit for tat with SalesForce, even though SalesForce is one of Oracles largest customers. So that's been kind of fun, fun to watch. And now Infor, so Infor clearly is doing some damage, to the traditional guys. Oracle, SAP, Workday maybe not so much Workday is growing like crazy, but Infor claims it is growing SaaS revenue 50% faster than Oracle's SaaS revenue. It's growing double the rate of SAP, and growing as fast almost as Workday, is kind of what it claims. And so, this whole enterprise resource planning, HCM, vertical market software, horizontal software the market is always been hot. It's a huge, huge market. Many, many, tens of billions, it's probably a hundred billion dollar TAM. And the big, big whales are of course Oracle and SAP, and then of course, SalesForce and you've seen the emergence of companies like ServiceNow which has quite a bit of different strategy but with Oracle, with Infor's sort of Oracle heritage a lot of people in the company came from Oracle so they know where the skeletons are buried they know how to compete, they have relationships with the customers. And they're offering some differentiation, as they say with those Micro verticals, the last mile, and the pure cloud model. Now, if you look at the income statement you'll see the SaaS portion of the business only represents about 25% of the revenues but remember, that's a ratable model. So you're only recognizing revenue as you're, as the months go on, so you're billing sort of monthly if you will, or recognizing monthly. And so, as a result that skews and dampens the effects of the SaaS software, I think from a booking stand point is probably much higher, proportion of bookings I would guess closer to 50% as they said they took $2billion last year from Koch industries. That $2billion dollars didn't really hit the balance sheets, they get about $330million on the balance sheet. And they've a lot of debt, because they you know did you know, it was a private equity you know leverage deal. They did a lot of acquisitions, so they've probably got about $5.7billions of what they call net debt, which presumably is debt after cash. So I would guess close to $6billion in debt. They're a quasi, they're not a public company they're a private company, but they act in many ways like a public company, I would suspect within the next couple of years here, if this kind of growth continues that you'll see an IPO, from Infor. Although, presumably Koch industries, we heard Koch on stage today, they said they've made $15billion in investments in technology companies. $2billion, this has to be one of their largest. And, but that's patient capital. They get the benefit of the cash flow, they can probably take dividends if they want to do that. And if they're smart, and they invest and they can take market share from Oracle and SAP and others, and gain share in the market space, they can do an IPO. They're revenues are $3billion, their valuation, they implied a valuation based on the Koch industries investment is $15billion. So if they can take that $15billion to $30billion 20 to 30 billion, there's going to be a nice return. >> You know I thought, what's interesting about Koch too they talked about this, it's certainly as you talked about 2billion right. They put the money in, but they're also, it's a symbiotic relationship, in that that Koch is using it's organization as a test lab. For a lot of products and services, that Infor is producing. And allowing them to refine that under the Koch umbrella before they take it out to the market place. So that's pretty true, I feel like seems to makes sense. You have a company that has 60,000 world wide employees, you're in dozens of countries, you've a chance to let them take their products to scale, in maybe a somewhat more friendlier, controlled environment before you take it out to the marketplace. That seems to make a lot of sense. >> Yeah, we heard the CIO of Koch industries today and I talked to him last year, and we were talking about some of the technical debt that they had, again going back to those custom modifications that I was talking about earlier. They were in this terrible virtuous cycle almost a negative virtuous cycle where they had so many custom mods that they couldn't make changes. So the applications were becoming voxalised, so they were becoming non competitive and that is the last thing that a line of business wants to hear, is 'hey we can't make the changes, right IT says no, we can't touch the code, it's working or changes take too long. They take months or sometimes years, to get to a major release and so as a result Koch was looking for ways to simplify its application portfolio and its application infrastructure. The other thing that Koch industries has brought is, you might notice on the show floor here, you see Accenture, you see Deloitte, you're seeing Grant Thornton, now these guys weren't really going after, or going hard after the Infor base before. I think, a company like Koch industries does a lot of business with these SIs and so I think Koch has introduced the SIs to the Infor opportunity and maybe nudged them a little bit and say 'hey as a big you know supplier to us, we're a big customer of yours we want you to pay attention to that opportunity and in earnest go look at ways to partner with Infor. And that's happened, my intelligence suggests there are many multi million dollar deals that are being capitalized by these big SIs and they do a ton of business with SAP and Oracle. So that's another positive in the tail wind that Koch industries, I think it's brought to the table. >> Alright, you mention human potential which is the real overarching theme of the show here this week. Again, we're here in Washington DC. I was just listening to Van Jones from CNN. One of their anchors and political contributor talking about that as his personal mantra but certainly that intersects with what Infor is talking about in terms of unlocking human potential and using technology to do that. Share a little light from Charles Phillip's perspective the key note address that he gave, in terms of how do they view human potential and unlocking it with the use of their services? >> Well we're going to have Charles Phillip's on so we'll certainly ask him that but Charles Phillip's is a guy with a lot of potential. And that he is realizing that potential >> Lot of track record too >> Exactly, this is an individual with a military background, he became I don't know if you know the story but he became a highly successful Wall Street analyst. He wrote the seminal piece in the 90s that said the software industry, is too many software players and is going to consolidate. Larry Ellison, prior to reading that used to denigrate competitors for writing cheques not code. Meaning, his competitors were acquiring companies instead of innovating. Well then, he went on a spending spree probably 30, 35 million dollars in acquisitions orchestrated by Charles Phillips. And they totally remade Oracle starting with a soft hostile takeover. And then now you see Oracle, obviously this Saas powerhouse with many many companies that were bought in. Charles Phillips left Oracle, became the CEO of Infor and we heard today, architected an entirely new strategy with a stack, they call this thing the Stack. I'll just go through this briefly, I wrote about it last year, in the WikiBon blog. They've got the Infor platform, the Infor OS and then it goes all the way up to AI, the last mile software, the cloud. They have this thing called GT nexus, which is a supply chain network and that where their IoT play fits. Then they bought a company last year called Birst, to do BI and analytics, and then on top of that is Coleman. So they've got this stack that they are basically infusing into their applications, and I will answer your question. Essentially what they want to do is, use automation and artificial intelligence to essentially coach people, worker, as they're doing their jobs. So we heard today, that there are more openings than there are unemployed >> Employees, yeah. >> And productivity is going down. So Infor, Charles Phillips wants to attack that problem through software and automation. How do you do that? Well, if you could use artificial intelligence to monitor people's KPIs, they didn't use those terms but that is essentially what they are doing. And then provide feedback on outcomes, 'hey you could have done it differently. You could have done it more quickly. The outcome could have been better if.' Also, analyzing other factors like the relationship for example, using data to analyze the relationship between say tenure or were you recently promoted or turn over on the productivity of for instance stores, retail stores for example. And so, you're seeing an infusion of AI and software and automation in to the entire application portfolio to unlock the human potential. That's one part of it, the other part of it is Charles Phillips is big on diversity, big on women in business, and so that's another angle that I am sure we are going to hear more about this week. >> I thought it was interesting too any time a show comes to Washington there is a reason. And it's generally federal sector based, policy based. There's a regulatory undertone of some kind. And it was addressed somewhat on the key note stage here this morning. But the idea, the notion was that federal regulation and federal mandates, whatever, can't keep up the pace. They just can't, and it really is up to the tech sector because it works on a much different time frame, right? I mean, changes are made by the minute, whereas policy gets shaped by the year. You know, up on the hill here, not far about 3 miles 2 miles from here. So, the tech sector's responsibility in that regard in terms of being more diverse, of having more inclusivity, of looking at environmental considerations. All these things, and of unleashing human potential. And not at making a government do that. Not letting a regulation do that. That certainly plays in the Infor's thinking as well, I would think? >> Yes, so first of all we were down here at the AWS public sector event in June. And there were ten thousand people here. So AWS has a huge presence here. Infor and AWS are big time partners. And remember the CIA was the first deal, the first cloud deal, that AWS did, they won. IBM contested it, the judge eviscerated IBM in his ruling. Basically saying they were gaming the system. They were purposely misinterpreting the RFP. Amazon won hands down, it was a huge victory for Amazon. Forced IBM to go out and capitulate and purchase Softlayer for $2billion. I believe that only helps a company like Infor who has decided to be all public cloud, with AWS and drafting off AWS' deep ties to various government agencies, in the GovCloud. So for instance, AWS was first with fedramp. First with a lot of different certifications and security hurdles. And so Infor can just draft off of that. The CIA, again a big account, we heard the CIA talk in June about how security on the worst day of cloud is better than its client server applications on their best day. And so, I suspect Infor is doing business with the CIA although that's not come out publicly. But I would think that there is an advantage Infor has because of that AWS relationship. And that makes DC all the much more important for them. Well, we are at Inforum 18, we have a full 2 days of scheduling for you. Great guest coming up here on theCUBE. I am with Dave Vellante, I'm John Walls We'll continue here on theCUBE live from DC right after this break.
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Brought to you by Infor. We're in the Walter Washington Convention Center. brought some of that expertise to So the last mile functionality that would normally So Oracle is paying attention to Infor. And they're right down the road here too, by the way. And so, as a result that skews and dampens the before they take it out to the market place. and that is the last thing that a line of business but certainly that intersects with what Infor is talking And that he is realizing that potential that said the software industry, and automation in to the entire application portfolio But the idea, the notion was that federal regulation And that makes DC all the much more important for them.
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Jeff Chancey, Accenture | Splunk .conf 2017
>> Announcer: Live from Washington DC, it's theCUBE. Covering .conf2017. Brought to you by Splunk. >> Welcome back here on theCUBE, we're in Washington DC at the Walter Washington Convention Center, day one of .conf2017, Splunk's big get together here with some 7,000 plus attendees, 65 countries, and traveled something like some 30 million miles to get here? Incredible turn out, it really is impressive, and a great day we're having here on theCUBE. Which of course is the flagship broadcast of SiliconANGLE TV. Joining me is Jeff Chancey, who is a managing director within Accenture Technology Ecosystem and Ventures. Jeff, good to see you here in Washington, welcome to town. >> Likewise, thank you very much. Excited to be here. >> Yeah, it's certainly been a great day, great first day, let's talk about your partnership, Accenture with Splunk, and what do you see the future for the partnership, how is it evolving? >> Well it's interesting you might ask that, it's probably the $64,000 question. The future of the partnership is indeed exciting. Let me kind of articulate what I mean by that. We Accenture, we're a large professional services firm, our competencies around Accenture Strategy, Accenture Consulting, Accenture Digital Technology Operations, and Accenture Security. What makes the partnership with Splunk so interesting and unique, and also very dynamic, is the fact that Splunk as a transformational data platform applies across the full spectrum of business that Accenture does. So if you can bring the power of an Accenture and our presence in the market, across all the different industry verticals, all the horizontals, and the power of a transformational data engine like Splunk together, you could say it should be a very exciting future indeed. Probably our biggest objective is to really help, in Accenture we call it rotating to the new. So rotating to new technology, and Splunk is definitely part of our agenda to rotate to the new. We are looking to help our clients become data and digital driven businesses, by leveraging the enormous volumes of data that keep exponentially getting generated every single day, through connected devices, applications, infrastructure, across the board, the Internet of Things, everything is now connected, and everything is spooling data. So, we know that our enterprise executive clients, they're all struggling with this challenge that says, "how do I not only, get value out of my data, how do I solve this challenge with the exponential generation of data, so that I don't just survive in the market, but I win?" This is really what we're after as a partnership is that step change transformational agenda, with our enterprise clients. >> So you have this budding partnership, you've talked about all these fantastic opportunities and great potentials and whatever, is it possible, can you focus on one thing that you're most excited about when it comes to the partnership? >> The one thing I would say we're most excited about right now is our security agenda. We all know where Splunk sits, in terms of the security market. Accenture Security, our very first joint market offering is the Cyberdefense Engine, formally known as, our Cyberdefense Platform. That joint market offering stands to be, really what credentializes the partnership between Accenture and Splunk in the market. Very exciting. Every customer needs to mitigate risk, they must protect their enterprises, they're breaches happening every single day, it's in the news, and Splunk is a powerful technology to help our clients protect their enterprises. So, what you want to do, with Accenture and Splunk is we want to help our clients take out cost, take out cost out of the back office, to drive up their profitability and drive down their cost to serve their customers, we want to help them protect their enterprise through security, and then we want to help them drive step change value for their customers and for them through Internet of Things, and business analytics, automating away the work, and driving that value in the market. >> You're talking about this vast array of services, that you could provide, we know about your relationship with Splunk, you've got hordes and hordes of machine data right, pouring in all the time, how are your clients putting all that together, how are -- maybe some of the innovative ways that they're pulling these various resources and sources together and putting them to use? >> What our clients and what we're observing with our clients, is, with their data, they're data tends to reside in multiple silos, within the enterprise. This is normal, this is natural. What we can help do with a powerful technology like Splunk, is aggregate that data across all the different silos and bring it together in a single view. That not only helps the operations staff, as we said before, protecting the enterprise through security, and driving that value through business analytics, real time digital marketing, using geolocation services, for example. One of our exciting offerings is in the retail industry vertical. We're leveraging the power of Splunk to understand through Point of Sale data what product is going out the door, in say, a store operations environment, and also what inventory is coming through the back door, and triangulating that with the real time rate at which product is leaving the shelves, being able to help those retail customers actually do real time order management and trigger those events in real time. because if you're a retail custoner, the last thing you want to do is have products not on the shelf that your customers want to buy, and in the case of a grocery store for example, you don't want to have, your fresh foods spoil before you have a chance to sell it. So if you can bring together the dynamics of what's going in and out of the store with customer loyalty programs and geolocations, you can actually real time target those customers when they're in the vicinity of your store, and say, "The broccoli, we're offering you a special. Come in right now -- >> (laughing) >> We'll give you 15% off of broccoli", because we know you're a customer that likes to buy a lot of broccoli. That's a really exciting -- >> Inventory's everything, right? Inventory control. In this case -- >> And really applying it to the entire supply chain, 'cause obviously, the inventory from the manufacturing side, the consumer goods and services side, has to be available, has to be in the warehouses and the distribution centers, so, optimizing that entire, call it material and product movement, from the raw material and the manufacturing all the way to the consumer. >> We've heard a line, I know you have, greater insight, greater value. How are you at Accenture and Splunk bringing that statement to life for me as your customer? >> Clearly, if we can bring the power of data transformation leveraging next generation technologies like Splunk, and I have to say, we as a partnership, we view Splunk as an emerging technology. Not emerging in the sense that it -- doesn't exist yet, I mean they've been around for over a decade now, but emerging onto the world stage to really help power the way businesses drive their business by leveraging all of that data. The secret sauce that Splunk has, is that ability to aggregate that data from multiple disparate sources, and to do that in real time. If we can drive greater insight into the customer's data, we can collectively drive greater value. Interestingly enough, the greater than sign, is a coincidence, it's part of both Splunk and Accenture's logos. >> Yeah right, you both have it working for you, don't you? You're known for vertical industry practices, is there one or a specific vertical that you can think of that maybe where you all have teamed up and that you're creating this interest or some kind of innovative solution that you're able to specifically develop and apply? >> I mentioned retail, and I mentioned security previously. An interesting area that we're getting into now, is in Health and Life Sciences, so healthcare. We want to be able to predict and prevent hospital Code Blue's before they happen. How much would you be able to do that? All of the devices, all the monitors that all the hospitals have, they're all from different manufacturers, they're all spooling data, and most of the hospital staff are using eyes on glass. To understand, we have a Code Blue, you've seen it in the movies, everybody's running to resuscitate and save the patient. What we want to be able to do leveraging Splunk is to apply machine learning and predictive analytics, to understand what the monitors tell us, that in 15 minutes this patient is likely to be a Code Blue, and how do we predict and prevent that from happening in the first place. I really can't think of anything better than figuring out how to leverage technology to save lives. >> Absolutely. Well, if I'm in need, I want you around, okay? (laughing) >> Okay, you got it. >> We got a deal. Jeff Chancey, from Accenture, thanks for being with us here on theCUBE, appreciate the time and wish you success down the road. >> Thank you very much, appreciate it. >> You bet. We'll continue here, from .conf2017, we are live, in our nation's capital, Washington DC.
SUMMARY :
Brought to you by Splunk. Jeff, good to see you here in Washington, welcome to town. Excited to be here. and our presence in the market, and Splunk is a powerful technology to help our clients is aggregate that data across all the different silos that likes to buy a lot of broccoli. In this case -- and the distribution centers, so, optimizing that statement to life for me as your customer? Not emerging in the sense that it -- and most of the hospital staff are using eyes on glass. Well, if I'm in need, I want you around, okay? and wish you success down the road. conf2017, we are live,
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Altaf Karim, Cisco | Splunk .conf 2017
>> Narrator: Live from Washington DC, it's The Cube. Covering .conf2017, brought to you by Splunk. >> And welcome back to .conf2017 here on The Cube. We continue our coverage from the Walter Washington Convention Center. Dave Vellante, John Walls, if you're wondering where we are, I mean physically, the White House is about a mile that way, and the U.S. Capitol is about a mile that way. So we're kind of sandwiched between where it's all happening, Dave. >> Yeah, I mean this exhibit hall is about a mile that way and a mile that way. (laughing) >> Yeah, if you're hungry, leave now for lunch. It's going to be a bit of a hike. We're going to talk about analytics, obviously, at this show, but with Cisco's Altaf Karim, Senior Manager of service line and product lead, so a practice lead. So Altaf, thank you for being with us here. >> You're very welcome. >> Thanks for the time. Let's talk about the Cisco network optimization service, and obviously how that comes into play with analytics, what that's all about. I know that's certainly near and dear to your mission. >> Sure. So as you mentioned, Cisco's network optimization service, it's a consulting-based service offer that we provide to hundreds of customers globally, where we're actually providing some experts in the field of Cisco products. These consultants know Cisco products in and out. Our span reaches globally in many different industries, and what we do is we really work with our customers first, our consultants work with our customers first to identify what sort of business outcomes that they're trying to achieve. These could be related to things like high availability, performance, and then really work from there to understand what types of things need to happen from an assessment standpoint, or architecture, or deployment standpoint, that they can optimize to make the most use of their network. Some of the key benefits of Cisco optimization service are increased productivity for our customers, better user experience, as well as customers who have made an investment in IT. Our consultants are able to work with them and devise a strategy on faster time to value of that investment. So those are some of the key tenets of-- >> Mr. Vellante: So this is a for-pay service, correct? >> Yes. >> Okay, and it starts presumably with an assessment, where you got to get the right people in the room, and maybe you have some automated tooling to help me do discovery, and things like that, and you're maybe looking at machine data and so forth. Take us through the life-cycle of an engagement. Where does it start? How do we engage? How does one engage with you? Where does it start and where does it go? >> Yeah, sure. So, it all starts with our consultants working with our customers first, as I said, to understand what types of business objectives are they trying to accomplish. We then essentially backtrack from there, and understand what things in the network can we control. For example, high availability, process of change management, improved performance on their network, and essentially devise KPIs and metrics that essentially back into the business outcome that they're trying to accomplish. And of course, we have a whole slew of capabilities around analytics, that our consultants bring to the table to essentially become proactive, and help the customer achieve those business outcomes. >> So it might be a customer comes to you and says hey, I'm having problems with my network. It's down too much, it's not performing the way I want. I think it's change management related, you know it probably is, but I don't know where to start. So you bring a tiger team in, and then what? You use all kinds of tooling and other expertise to surface the problem? >> Yeah, sure. So, your question actually delves into what types of KPI can our consultants provide to our customers, to show them how their network is doing, right? And so there's a couple of different ways to do this. One is, you can take a look at what data is available to you, and start to sift through that. And that can be a very cumbersome process that is lengthy. You're really looking for that needle in the haystack to try to figure out what types of insights you can find to make an impact to the business outcome. Another way to approach it is the way we do it from a process standpoint, is inwards from the customer's business outcome. What exactly are we trying to impact? Is it network performance? Is it high availability? And then, our consultants will actually come up with metrics and KPIs based on intellectual capital that our service offer has, and essentially create custom applications based on Splunk, to essentially provide those insights and views and visibility into the network, back to the customer. >> So is it fair to say that Splunk would be the primary ITOM tool, if I can use that term? Splunk doesn't really talk about ITOM, I guess, directly, but to me it's ITOM, IT operations management, but that is the primary platform that you guys would use and deploy? >> I would say that's one of the primary components. Splunk plays a very, very strategic role in how our consultants interact with our customers. So if you think about the premise behind and the value proposition behind network optimization service, is our leading-edge and world-class expertise in networking. And that's what we're known for. And so now when you think about analytics, especially proactive and predictive, you really need the right mixture in ingredients of things to come together, to provide meaningful analytics back to customers. And really, if you think about a trifecta of domain expertise, data science, as well as an understanding of potentially open-source technologies and platforms. But in this case, we're actually strategically using Splunk to play the piece of that last bit. And so what that means is we have consultants who are world-class, leading experts in networking, but we're also training them and asking them to walk a little bit in the shoes of data analysts. And, if you think about an audience or a constituent that is highly technical, quantitative-minded, Splunk is a pretty easy platform for them to learn and start to make an impact by creating custom applications, KPIs, and metrics, for their own customers, that they can use to be proactive and be preemptive, and provide those insights back to the customer. So that's the role that Splunk plays in our service. How much of your business is sort of Aspirin versus vitamin? In other words, how much is it, I got a pain point, I need a tactical solution to that pain point, versus you know what? I'm thinking about re-architecting my network, east west problem, right? Help me think that through, how I sort of transition from my legacy network to a more modernized network. How much is each of those? >> I would say they both play a pretty significant fare. Depending on where the customer is in the life cycle and what they're trying to accomplish, we certainly have a healthy dosage of customers who we work with transactionally, to architect new networks, to deploy new technology, to help them realize their IT spend in a quicker way. But then, a very significant part of our business also is, what do you do on the day two? You can build all this great stuff, right? But if you don't optimize it for peak performance, if you don't optimize it for high availability, or if it's not keeping up with your evolving needs and standards, then you might get in trouble. You're not using the most out of your network. So that's a healthy business as well. >> You mentioned KPIs. What are you tracking? And, what data matters? How do you determine what's relevant, what's not? You know, big problems, or big challenges at least. >> Yeah. That's a very important question, right? And to me, coming from a services background, it's very much rooted in knowing what your domain is about, because as I mentioned before, if you start with all the plethora of data that's available to you, and start to sift through it, you may or may not find something, right? But, our consultants work with the customer and identify what are specific things that we care to monitor, and what are specific KPI that we want to essentially do trending on, or to identify patterns around, so that we can accomplish some sort of business outcome. So for example, if you care about network performance, you're looking at metrics about capacity or bandwidth, or QOS. If you care about customer experience, you're probably, from a wifi standpoint, looking at signal strengths, looking at disassociations, how often and how quickly customers can connect to wifi networks. So really, it depends on what the customer is looking for. And our approach is that we have solid expertise in a number of networking disciplines ranging from routing, switching, wireless, data center, and others. So we have analytic service offers that go deep into each of those technology areas, and we can figure out what KPI to monitor to best achieve that business outcome, but then we also can bring all of that back together and provide that holistic network perspective, and one of the key things that we want to look at, to make sure network is operating optimally. >> Does your practice bleed into the security vector at all? Is that an adjacent area, or is that sort of a main area? >> Yeah. I would say security is paramount for our customers. For the network optimization service, it's actually an adjacent area, but it's definitely something that we work to include into all of our consultative guidance and recommendations to our customers. >> To whom do you sell, I mean, typically? When you initiate an engagement, is it a head of network? Is it a CIO level? And who do you get involved in the sort of initial meeting, and throughout the lifecycle of the project? >> Yeah. That's a really good question, and I would say that it varies depending on what types of analytics that they're also looking for. So let me give you a couple of different examples. So one example is the IT director or IT manager, who is really looking for a tool or analytics, visibility, insights, into how pieces of their network are performing so that they can achieve high availability, increase in network performance, or can better process their change management. So that's one type of buyer. But the other type of buyer is also at the CIO level, which is increasingly also more interested in using analytics to figure out where they are, and benchmark themselves against how others in their industry, or their peers, may be doing. So we've actually started to begun a lot of interesting conversations there, where some of the analytics that we can provide to our customers who opt in, is really rooted around benchmarking how they're doing in different areas such as performance, their software feature, their software or hardware or feature diversity compared to others in their own industry, and really can identify along with our consultative guidance which areas are really important for them to pay attention to, because they're doing something potentially different than everyone else in their industry. >> How about this challenge of IT networks, they're organic, they're constantly changing. So are you coming in, fixing a problem, and then I got to call you back? Or are you teaching me how to fish? >> I would say we're doing a little bit of both. So there's definitely reactive and remediation portions of our service offer. Unfortunately, that happens more than you would like, because you don't think about what to fix until something actually goes wrong. But, one of our flagship service offers, the network optimization services, is all about proactive and optimizing an existing network, so you make sure you're never getting to a place where you end up having to remediate something. And it's not just about remediation or fixing something that's broken, it's really about fine-tuning a well-oiled machine, to make sure that you're getting the most out of your IT investment. >> Yeah, but what kind of a, you talk about machine learning here, capabilities, what do you have in that vein? >> Yeah, so that's a really good question. When we start talking about proactive, and the predictive aspects of our consulting as well as our analytics, machine learning plays a pretty significant role, and I can only expect the contribution that will make to increase exponentially over time. A perfect example, one example of how we use machine learning is actually the machine learning tool kit inside of Splunk. So, if you think about our main premise behind network optimization, is to provide consulting, and provide recommendations on how to optimize the network. But when you think about what a network is, and it's a living and a breathing thing, each network is different, right? No network is the same. So, what machine learning, and especially the machine learning toolkit from Splunk, allows us to do is for a specific customer, it actually allows us to create a baseline of normalcy. What is normal for hundreds and thousands of KPIs and variables, for that specific customer? I think if we asked a human to do that, they'd probably still be going on-- (imitates gunshot) exactly, right? And so, that's an example of how we use machine learning toolkit from Splunk, and not only identifying what is normal for that customer, but then we can use supervised learning to start to identify anomalies and trends and patterns, and really begin to enable our consultants with the data and foresight around what types of things are happening on that network, so that they can in turn be proactive, and be predictive and preemptive in their exchanges with the customer. >> And these services are done on a T&M basis, or a fixed fee, or both? >> They're done both ways. We're pretty flexible, and there's a whole slew of offers outside of what I just talked about, that are available as well. >> What's typical of people? It just depends, right? >> I would say for pinpoint specific things that need to get done, they're more transactional in nature. And then when you're looking for entire lifecycle in a suite of services to help you optimize and be proactive and predictive and preemptive, that's where we have a subscription-based offer that is our optimization offer. >> Okay, and then you guys will actually, well you'll do this mostly remotely, I presume, but you go on site periodically to just impress the flesh and feel-out the culture? >> Absolutely. When we actually start an engagement with a customer, it's quite common for us to go on site, work to get to know the customer, the players, the network, understand what the business outcomes are, make sure that we're devising our deliverables in a way that actually impacts some sort of outcome, and they're not just rooted in some networking measures that don't necessarily make any impact there, right? So that's really important to us. So we definitely go on site. But of course, one of the value propositions of our offer is our intellectual capital. And when we talk about some of the analytics applications that engineers are building for a specific customer, now talk about that happening across hundreds of customers and engineers, devising new ways to create insights and visibilities in their own customer, and the sharing that happens between the engineers, so that they can bring those learning back to their own customer. >> Well, the door's open for business at Cisco, and Altaf Karim, we appreciate your time sharing with us why and how, and what you're doing, and wish you all the best of luck down the road too. Thanks for being with us here, first time on The Cube, right? >> First time on The Cube. >> Alright. >> Thank you for having me. >> You are now an alum. Welcome to the club. >> Great. >> Alright, Altaf Karim, joining us here on The Cube. We'll continue live from Washington D.C., right after this. (electronic theme music)
SUMMARY :
brought to you by Splunk. and the U.S. is about a mile that way and a mile that way. So Altaf, thank you for being with us here. and obviously how that comes into play with analytics, to understand what types of things need to happen presumably with an assessment, where you got to that essentially back into the business outcome So it might be a customer comes to you and says hey, to try to figure out what types of insights you can find and provide those insights back to the customer. also is, what do you do on the day two? What are you tracking? and start to sift through it, you may and recommendations to our customers. So let me give you a couple of different examples. and then I got to call you back? Unfortunately, that happens more than you would like, and provide recommendations on how to optimize the network. of what I just talked about, that in a suite of services to help you optimize So that's really important to us. and Altaf Karim, we appreciate your time sharing with us Welcome to the club. Alright, Altaf Karim, joining us here on The Cube.
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Ben Miller, Recursion Pharmaceuticals | Splunk .conf 2017
>> Announcer: Live, from Washington DC, it's theCube. Covering .conf2017 Brought to you by splunk. >> Welcome back inside the Walter Washington Convention Center. We're at .conf2017 in Washington DC, the nations capital, it is alive and well and thriving. A little warm out there, almost 90 degrees. But hot topic inside here, Dave. >> There's a lot of heat in this city. (laughter) >> A lot of hot air. >> Yeah, absolutely. >> We'll just leave it at that. Politics aside, of course. Joining us is Ben Miller, who is Director of High Thoughput Screening at Recursion Pharmaceuticals. Ben, thanks for being with us here on theCube. We appreciate the time. First off, I have many questions. First off let's talk about the company, what you do, and then what high throughput screening means, and how that operation comes into play when you have this great nexus of biology and engineering that you've brought together. >> Recursion Pharmaceuticals is treating drug discovery as a facial recognition problem. We're applying machine-learning concepts to biological images to help detect what types of drugs can rescue what types of diseases. We're one of the few companies that is both generating and analyzing our own data. As the director of the high throughput screening group, what I do is generate images for our data science teams to analyze, and that means growing human cells up in massive quantities, perturbing them with different types of disease reagents that cause their morphology to change, and then photographing them in the presence of compounds and in the absence of compounds. So we can see which compounds cause these disease states to revert more to a normal state for the cell. >> Okay, HTS then ... Walk us through that if you would. >> HTS is a general term that's used in the pharmaceutical industry to denote a assay that is executed in very large scale and in parallel. We tend to work on the order of multiples of 384 experiments per plate. We're looking at hundreds of thousands of images per plate, and we're looking at hundreds of plates per week. So when we say high throughput, we mean 6-10 terabytes of data per day. >> Just extraordinary amounts of data. And the mission, as we understand it, you're looking at very rare genetic diseases, your goal is to find cures for these over the next 15-20 years. Up to 100 of them, so that's why you're going through this multiple examinations of vast amounts of data. Human data. >> Yeah, there's been a trend in the pharmaceutical industry over the last years, where the number of dollars spent per drug developed is increasing. And it now takes over one billion dollars to bring a drug to market. And every year it costs more to bring a drug to market. We believe we can change that by operating at a massively parallel scale and also analyzing image data at a truly deep level. Looking at thousands of different features per image, instead of just a single feature in the image. >> That business is just like this vicious cycle going on, and you guys are trying to break it. >> Yes, exactly. >> So what's the state of facial recognition been? I've had mixed reviews about it. Because I rave about it, I go, "Oh my God, "Facebook tagged me again, it must be really good." And then other's have told me, "Well it's not really "as reliable as you might think." What is your experience been? >> The only experience I've had with facial recognition has been like yours, on Facebook and things like that. What we're doing is looking more at cellular recognition. Being able to see differences in these cellular morphologies. I think there are some unique challenges when you're looking at images of thousands of cells, versus images of a single person's face. >> Okay, so you've taken that concept down to the cell level and it's highly accurate, presumably. >> It's highly reproducible is what I would say, yeah. >> So it takes some work to be accurate, and once you get it there you can reproduce that, is that right? How does the sequence work? >> Yes, so there are two parts to the coin. One is how consistently we can produce these images and then how consistently those images represent the disease state. My focus is on making the images as consistent as they can be, while realizing that the disease states are all unique. So from our perspective, we're looking at thousands of different features in each image, and figuring out how consistent those features are from image to image. >> So paint a picture of your data stack, if you will. Infrastructure on up to the apps, and where splunk fits in. >> Sure. So I guess you could say that our data stack actually begins at hospitals around the world where human cells are collected from various medical waste samples. We culture those up, perturb them with different reagents, add different potential drugs back to them, and then photograph them. So at the beginning of our stack we've got biological agents that are mixed together and then photographs are generated. Those photographs are actually .tif files, and we have thousands and thousands of them. They're all uploaded in to Amazon Web Services, their S3 system. We spin up a near infinite number of virtual computers to process all of that image data within a couple of hours. And then produce a result. This drug makes this disease model look more like healthy and doesn't have other side effects. We're really reducing those thousands of dimensions in our image down to two. How much does it look like a healthy cell, and how much does it just look different then it should. >> And where does splunk fit into that stack? >> All of those instruments that are generating that data are equipped with splunk forwarders. So splunk is pulling all of our operational data from the laboratory together, and marrying it up with the image analysis that comes from our proprietary data analysis system. So by looking at the data that we're generating, how many cells we're counting, how bright the intensity of the image is, comparing that back to which dispenser we used, how long the plates sat at room temperature, et cetera. We can figure out how to optimize our production process so that we get reliable data. >> It's essentially storing machine data in the splunk data store. And then do you have an image database for ...? >> Yeah. And the image database is incredibly large. I wouldn't even guess at the current size. >> Dave: And what is it? Is it something on Amazon, an Amazon service? >> Yeah. So right now all of our image data is stored on AWS. >> This is one of those interviews Dave that the subject matter kind of trumps the technology because I want to know how it works. But you need the technology obviously to drive it. So I'm trying to figure out, "Alright, so you're taking "human cells and you're taking snapshots in time, "and then looking at how they react "to certain perturbed actions." But how does that picture of maybe one person's cell reacting to a reagent to another person's ... How does your data analysis provide you with some insight because Dave's DNA is different from my DNA, different from everybody in this building, so ultimately how are you combing through all of that data to make sense of it. >> That's true. Everybody has a unique genetic fingerprint, but everybody is susceptible to the same sets of major diseases. By looking at these images, and really that's the billion dollar question, is how representative are these individual cellular images, how representative are they of the general human population? And the effects that we see at a cellular level, will they translate in to human populations? We're very close to clinical trials on several compounds, but that's when we will really find out how much proof there is in this concept. >> Okay. You can't really predict ... Do you have a timeframe or is just sort of, "Keep going, keep getting funding until you reach the answer?" Is it like survive until you thrive? >> I personally don't maintain that kind of timeline. My role is within the laboratory producing the data as quickly as we can. We do have a goal of treating 100 different diseases in the next 10 years. And it's really early days, we're about 2 1/2 years in to that goal. It seems like we're on track, but there's still a lot of work to be done between now and then. >> So it's all cloud, right? And then splunk is throughout that stack, as we talked about. How do you envision, or do you envision, using it differently? Are you trying to get more out of the splunk platform? What do you want to see from splunk? >> That's a good question. I think right now we're using really the rudimentary basic features of splunk. Their database-connect app and their Machine Learning Toolkit are both pretty foundational to the work that we do. But right now a lot of our data models are one time use. We do a particular analysis to find the root cause of a particular problem, we learn that, and that's the last time we use that model. Continuous implementation of data models is something that is high on my list to do. As well as just ingesting more and more data. We're still fairly siloed. Our temperature and humidity data is separate from our machine data, and bringing that all into splunk is on the list. >> Why are your models disposable? It sounds like it's not done on purpose, it's more of some kind of infrastructure barrier? >> We're really at the cutting edge of technology right now, and we're learning a lot of things that people haven't learned, that in retrospect are obvious. To figure out the true cause of a particular situation, a data model or a machine-learning model is really valuable, but once you know that key salient fact, you don't need to keep track of it over time. You don't need to know that when your tire pressure is low your car gets less miles to the gallon. >> David: You have the answer. >> Right. But there are a lot of problems like that in our field that have not been discovered yet. >> I inferred from your answer you do see the potential to have some kind of ongoing model evolution. For new use cases? >> In the extreme situation we have a set of hundreds of operational parameters that are going into producing this image of cells. And then we have thousands of cellular features that are extracted from that image. There's a machine-learning problem there. What are the optimal parameters to extract the optimal information? And that whole process could be automated to the point where we're using machine-learning to optimize our assay. To me that's the future of what we want to do. >> Were you with Recursion when they brought in splunk? >> Yeah. >> You were. Did you look at alternatives? Did you look at maybe rolling your own with open source? Is that even feasible? Wonder if you could talk about that. >> I had already been introduced to splunk at my previous job, and at that previous company, before I heard of splunk, I was starting to roll my own. I was writing a ton of Perl scripts, and all of these regular expressions, and searching network drives to pull log files together. And I thought that maybe there would be a good business model behind that. >> You were building splunk. (laughter) >> And then I found splunk, and those guys were so far ahead of things I was trying to do on my own in a lab. So for me it was a no-brainer. But for our software engineering team, they are really dedicated to open source platforms whenever possible. They evaluated the ELK Stack. Some of us had used Sumo Logic and things like that. But for me, splunk had the right license model and I could get off the ground really really rapidly with it. >> What about the license model was attractive to you? >> Unlimited users, and only paying for the data that we ingest. The ability to democratize that data, so that everybody in the lab can go in and view it and I don't have to worry about how many accounts I'm creating. That was really powerful. >> Dave: So you like the pricing model. >> Yeah. >> Some users have chirped about the pricing, I saw some Wall Street concerns about the pricing. The guys that we've talked to on theCube today have said, "They like the pricing model, that there's value there." And you're sort of confirming that. >> Ben: Yeah. >> You're not concerned about the exponential growth of you data causing your license fees to go through the roof >> In the laboratory, the image data that we're generating is exponentially growing, but the operational parameter data is more linearly growing. >> Dave: So it's under control basically. >> Yeah, for our needs it is. >> Dave: You're not paying for the images, you're paying for the meta data around that. >> Yeah. >> Well it's a fascinating proposition, it really is. Very eager to keep up with this, keep track, and see the progress. Good luck with that. Look for having you back on theCube to monitor that progress, alright Ben? >> Great. Very good, thank you so much. Ben Miller joining us from Salt Lake City, good to have you here. Back with more on theCube in just a bit. You're watching our live coverage of .conf2017. (upbeat innovative music)
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Brought to you by splunk. conf2017 in Washington DC, the nations capital, There's a lot of heat in this city. and how that operation comes into play when you have of disease reagents that cause their morphology to change, Walk us through that if you would. We tend to work on the order of multiples And the mission, as we understand it, you're looking instead of just a single feature in the image. and you guys are trying to break it. What is your experience been? at images of thousands of cells, versus images and it's highly accurate, presumably. My focus is on making the images as consistent So paint a picture of your data stack, if you will. So at the beginning of our stack we've got biological agents So by looking at the data that we're generating, And then do you have an image database for ...? And the image database is incredibly large. So right now all of our image data is stored on AWS. that the subject matter kind of trumps the technology and really that's the billion dollar question, Is it like survive until you thrive? in the next 10 years. How do you envision, or do you envision, and bringing that all into splunk is on the list. We're really at the cutting edge of technology right now, that have not been discovered yet. to have some kind of ongoing model evolution. To me that's the future of what we want to do. Did you look at maybe rolling your own with open source? and searching network drives to pull log files together. You were building splunk. and I could get off the ground so that everybody in the lab can go in and view it I saw some Wall Street concerns about the pricing. is exponentially growing, but the operational parameter Dave: You're not paying for the images, and see the progress. good to have you here.
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Ruel Waite, Carnival Cruise Line | Splunk .conf 2017
>> Narrator: Live, from Washington D.C., it's theCUBE. Covering .conf2017, brought to you by Splunk. >> Well, welcome back to .conf2017. Here we are at Splunk's annual get together, with Dave Vellante, I'm John Walls. We are live in the Walter Washington Convention Center, in beautiful Washington D.C. I say that, proud to be a native. Actually raised here, lived here, fly the flag here. >> Wow. >> This is my place, Dave. >> Listen, I love this city. >> I do too. >> I love coming down here. Lots to do, my son's down here, so. >> But if we weren't here, where should we be, maybe on the deck of a Carnival cruise line ship right now? >> That would be good. >> I would like that. >> I would love to have theCUBE on the deck of a Carnival >> Maybe, maybe Ruel Waite can swing that. What do you think? Ruel Waite joins us. He is the manager of delivery and support for Carnival. And you got room for two on the next ship out of Miami? >> Listen, man, for you guys anything. >> I love that. Alright, you're hired. >> I can make it happen. >> Outstanding. Alright Ruel, thanks for being here with us. >> No problem. >> On theCUBE, glad to have you, and here at the show as well. Alright, so let's talk about first off, Splunk. What are you doing? Let's back up, in terms of what you do. Your core responsibilities and then we'll get into Splunk story after that. >> Yeah, so I manage the support operation for our ecommerce platform, as well as for the guest facing ship board application. So the ecommerce platforms is where you go and purchase your cabin on the web. You would also be able to purchase your show excursions, your spa treatments, as well. Or we have an e-retail site where if you have a friend who's sailing you can buy a bottle of champagne and have it in their room for when they get there. So all those purchasing perks now that we support on the ecommerce platform. And then the guest facing application, Shipboard, we're talking 'about the mobile application where guests chat and interact with each other or plan their day. We're talking about the Pixels application where guests are purchase their photos that they take throughout their cruise. And their some facial recognition stuff there as well. And the iTV that's in your room. So we have a separate, many different sort of applications that fit under that portfolio. >> Let's talk about the data. >> Yes. >> A lot of data that you just created. >> Right? >> Yup. >> What's the data pipeline look like, where does Splunk fit? >> We Splunk as much as we can and we're continuing to build that as we go. Our application logs are Splunk, everything we produce from the application. Also our performance metrics from our servers and our data and our network, and all those systems, we Splunk that because that's critical for us to triage issues that occurring. Because our operation is about monitoring what's happening, it's about resolving issues as quickly as possible, and it's about communicating to our business. So those three things are data essential to all of that. So we need to get as much as we can and we need to be able to get insights into it. >> Can you talk about where you started, you had mentioned off camera about four years ago, and how you've been able to inject automation into your processes and just take us through your journey. >> Yeah, so we started a few years ago with Splunk, and it was primarily a triage tool for us. So an incident would occur, we'd try to get it, and look at some logs, figure out what's going on. And as we've evolved it's become more of a proactive alerting tool for us, it's become a communication tool, a collaborative tool, for us. You know, we leverage things like the ITSI, right. That allows us to understand the base line behavior of our system. Once we base line that then we can understand the spikes, we can understand when things are changing, and that allows us to react and quickly identify things, defects in our system, things that are occurring, and resolve them. So once we kind of got our legs around okay, we get how to use Splunk to find stuff, now let's figure out how to get Splunk to tell us stuff. >> Okay. >> Right? And now once Splunk is telling us stuff, let's figure out how we tell the business that stuff. So that's kind of how we the journey we've had with Splunk. >> And Splunk's in that thread the whole way? >> The whole way. >> So from, >> The whole. >> So, ultimately then, right now what are you putting into practice that you didn't have available >> Yeah, sure. >> two, three years ago? >> Yeah sure, so one of the challenges we had was, with a typical ecommerce site you have several layers of the application, right. You have your web server, you have caching infrastructure, you have a database server, yet we have a mainframe reservation system as well. So there are several things involved with supporting all those different platforms. Now when we have an incident, it's sometimes challenging to, you know you get somebody on the phone, you're like hey what are you seeing over there on the mainframe side? Well I see this error occurring. Oh and the database side they're telling you okay, we're seeing some sort of timeout here, but we're not sure if it's related to the same thing you're talking about. And we didn't have a way to tie it together. But by using Splunk Transactions what we decided to do was we decided to log the session ID, the web servers session ID across all our layers, right, and push that through, and that allows us to tie those transactions together across those layers. And now when we have an incident we're able to, when we're talking to the mainframe we're saying hey guy, hey go look at this. And he say here's what I'm seeing. >> You can isolate it? >> We can isolate it, we can pull it together, and it's really helpful. >> So will you get to the point, or you were trying to get to the point, where you can automate the remediation? Or is that something you don't want to do 'cause you want humans involved? >> You know, automation is good. And whatever we can automate we try to do that. At this point we're not automating the resolution through Splunk at this time, but what we are doing is we are providing the on call, or the engineer that are responding with as much information as we can in order to have them quickly flip that switch. So if we have an alert that we know, hey this issue requires a recycle of an application pool, or some kind of other action like that, we can put that in our Splunk alert. And we say hey we're seeing this issue occur. That email and that text message that goes out actually tells the engineer that these are the suggested actions that you can take in order to quickly resolve this issue. >> Ruel, what are you hearing from the business side? What are the business drivers and how is that effecting what you're doing in IT generally, and specifically with data and Splunk? >> Okay so from business side we're looking at most bookings is the one of the major metrics that we look at. And our guest experience. So and on the web that means the site needs to be available, it needs to perform, and it needs to work. So what we really are trying to do with Splunk is understand those issues that are impacting our guests on the booking side. What that means is we need to know how well we're converting. And if we're looking at homepage performance, and we can now tell hey if our homepage loads in five seconds verses three seconds, there are how many fewer people make it to our payment page, which is huge for us. So that's something that we really try to hone in on. And it really helps us to collaborate with the business and understand, really, what is the revenue impact of these IT metrics that we're spitting out. >> But there could be other factors involved in that too, >> Yes. >> other variables, right? >> There are. >> You can't just you know this is, but you have enough of a track record the are a couple reasons to say okay, five seconds means this, we get a 30% conversion rate. We get three seconds, man, we got 'em hello, and, now we have a 50%, whatever. >> Yeah, but that is where, what I'm excited about at the conference is the machine learning capabilities that we've been hearing about. 'Cause that will allow us to then model how those different factors that go into when someone goes from the homepage to payment, you're totally right. There's several things that go into that. And what we want to be able to model, hey, on a normal day here's our guest behavior, whether we have a sale, how do our guests behavior differently, or on a Monday night at eight PM what is the behavioral trend. So it's all important to us. And getting the data behind it and being able to model that is going to be really key for us. >> Connect the dots for me on >> Yes. >> how you use machine learning, and how will that affect the business? You'll make different offers at different times, or? >> So what I mean is if I understand how guests behave I will know if I'm having an issue on the site. If there's something happening that's impacting their ability to book. 'Cause sometimes you do a release, you do your quality control, and then you go home, everything looks good. And sometimes hours later, sometimes days later unfortunately, something pops up that you introduced during that release. And understanding what that baseline is, right. So what Splunk has allowed us to do is say okay, here's what normal behavior is. And we're trying to grow this more, but what we've been using ITSI to say here's what that behavior really is. Based on what we kind of know are the metrics around booking. Here's what that behavior is. And we do a release and we see a spike, a change, and now we're able to say wait a minute, we never saw this error before. This error never existed in our system at any point. That was definitely something that was introduced right here in this release, we need to go ahead and resolve this as well. And sometimes you get some false positives there, if your development team is doing change the way they log a little bit you might get a spike. But that's cool because you get to go in immediately and figure out what those changes are, and you get a comfort level that you kind of understand how your system works. >> Let me ask you another question. You got some experience with Splunk. >> Yes. >> Obviously, you were just working with them. What, in your mind, is on their to do list? What do you want to see out of them? Doug, if I'm Doug. Tell me, where should I go, what should I do. >> What do I want Splunk to do. >> Any gripes, give me the good, the bad, and the ugly. >> For me, it's performance, performance, performance. I want to see my queries run as quickly as possible. I want to see things fast. I want to hit the button and it happens right away. Now obviously that's not going to, that's not realistic. But I like what some of the things that Splunk are doing. You look at the new metrics index that they've been talking about the last two days. So they've now isolated your time serious data and they're able to optimize the searches on time serious data seperate from your application logs. So, you know, your CPUs, your memory consumption, that data is not the same as your logging an error, or logging that a booking was created, or something like that. Those are kind of two different things. So they have kind of decoupled that and they're saying anything that's time serious I'm going to put it over here. And I'm going to optimize that query, and then you can handle your other logs separately. But the additional benefit of that is then you can take your time serious and you can look at a CPU spike and then you can take your event data and overlay it on top. And then you can see, hey wait a minute, this event is what caused that spike. So that's where the cool is. >> I think they call that mstats. Is that right, mstats? >> Yes, it's mstats, yes. >> How 'about the stuff that you saw this week in the keynotes, particularly today was the product stuff. A lot of security obviously. Anything that you've seen here at the show that excites you, that you really said alright, I got to have that, I got to learn more? >> Yeah, so the ITSI event analytics really seems like something's going to be cool for us. As I've said before, we utilize ITSI internally. So we put together a glass table that's shows us here are all the different components and the hierarchy of things. And when this goes red it effects these other layers. And it's really cool. But what they've added in is the ability to click a button and drill in to those components and then you have a view of hey, here are the events associated with that. That's really cool because now you're triaging in one place, now you get to the problem really quick. And you can emote directly into your Splunk queries. It really allows what we're looking for is just to resolve issues as quickly as possible. >> And you're describing, if I understand this correctly, you can visualize the dependencies, and you can take remedial action or identify, inform the business what to expect. >> Exactly. >> Be much more proactive, that's what people are talking about. >> Yeah, yeah. And we found that one of the surprising things we found with Splunk is that our business are users of Splunk as well, right. So it's always an IT tool, it's something that only the geeks are going to look at. And then all of a sudden you present a dashboard to a business user and they go ah. That's pretty, right. And then all of a sudden they want it more than you do. So that's what makes it great right, 'cause you can present the data however you want and you can put it in a way that different audiences can consume. And so it becomes a platform that goes across the organization, which is really, really cool. >> John: But your bottom line's all speed right? >> Yes, yeah. >> Take care of my problems faster, get my customer faster, deliver faster, come on Splunk. >> Come on, let's go. >> We want to go. >> Brings the weekend faster. >> Right, right. >> Get more sleep, get more sleep. >> Ruel, thanks for being with us. >> Oh. >> We appreciate that. >> And, we'll talk about the cruise. Leonard Nelson, our producer over here already said book him for a massage, the presidential suite. He wants one night, and then the champagne buffet please. >> It's done. >> Fast internet, though. >> Yeah. >> Fast internet, yeah. It's done. >> Alright. We're simple people, we don't need all that, but we'll talk later. >> Alright man, appreciate it, thank you. >> Thank you for being with us. Ruel Waite joining us from Carnival. Back with more from Splunk, .conf2017. 2015, where did that come from? 2017, it's been a long day. (upbeat music)
SUMMARY :
conf2017, brought to you by Splunk. We are live in the Walter Washington Convention Center, Lots to do, my son's down here, so. And you got room for two on the next ship out of Miami? I love that. Alright Ruel, thanks for being here with us. Let's back up, in terms of what you do. So the ecommerce platforms is where you go that you just created. and we need to be able to get insights into it. Can you talk about where you started, the spikes, we can understand when things are changing, So that's kind of how we the journey we've had with Splunk. Oh and the database side they're telling you We can isolate it, we can pull it together, that you can take in order to quickly resolve this issue. So and on the web that means the site needs to be available, the are a couple reasons to say And getting the data behind it and being able to model that that you kind of understand how your system works. Let me ask you another question. What do you want to see out of them? and then you can take your event data Is that right, mstats? How 'about the stuff that you saw this week And you can emote directly into your Splunk queries. and you can take remedial action or identify, that's what people are talking about. it's something that only the geeks are going to look at. get my customer faster, deliver faster, come on Splunk. the presidential suite. Fast internet, yeah. We're simple people, we don't need all that, Thank you for being with us.
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Terry Ramos, Palo Alto Networks | Splunk .conf 2017
>> Announcer: Live from Washington, DC, it's the Cube, covering .conf2017, brought to you by Splunk. (busy electronic music) >> Welcome back to the Washington Convention Center, the Walter Washington Convention Center, in our nation's capital as our coverage continues here of .conf2017. We're here at Splunk along with Dave Vellante. I'm John Walls, and kind of coming down the home stretch, Dave. There's just something about the crowd's lingering still, the show for, still has that good vibe to it, late second day, hasn't let off yet. >> Oh, no, remember, the show goes on through tomorrow. There's some event tonight, I think. I don't know, the band's here. >> Yeah, but-- >> Be hanging out, partying tonight. >> But you can tell the Splunkers are alive and well. We have Terry Ramos with us, who's going to join us for the next 15 minutes or so, the VP of Business Development of Palo Alto Networks. Terry, good to see you, sir. >> Good, really appreciate you having me here. >> You bet, you bet, thanks for joining us. You've got a partnership now, you've synced up with Splunk. >> Terry: Yes. >> Tell us a little bit about that. Then we'll get into the customer value after that. But first off, what's the partnership all about? >> Sure. We've actually been partners for about five years, really helping us solve some customer needs. We've got about several thousand customers who are actually using both products together to solve the needs I'll talk about in a minute. The partnership is really key to us. We've invested a ton of time, money, effort into it, we have executive level sponsorship all the way down to sales. In the field, we have reps working together to really position the solution to customers, both us and Splunk and then how we tie together. We're the number one downloaded app for Splunk by far that's a third party, so they have a couple that are more downloaded than us, but for third party, we've done that. We develop it all in house ourselves. For customers out there who think the app's great, I'll talk about the new version coming, I'd love any feedback on what should we do next, what are the next things we should do in the app, because we're really developing this and making this investment for customers to get the value out of it. >> What about the business update for Palo Alto Networks? I mean, can you give us the sort of quick rundown on what's going on in your world? >> Sure. I think most people know Palo Alto Networks has done pretty well. We just finished our FY '17, finished with about 42,500 customers. Revenue was, I think, 1.8 billion, approximately. We're still a very high growth company, and been growing the product set pretty well, from products next-gen firewall, all the attached subscriptions. Then we've got things like the Endpoint Traps now that's really doing well in the market, where customers need help on preventing exploits on the endpoint. That's been a growing market for us. >> It's the hottest space in the data center right now, and everybody wants to partner with you guys. Obviously, Splunk, you go to all the big shows, and they're touting their partnerships with Palo Alto. What do you attribute that sort of success to? >> Customers, truly. I run the partnerships for the company. If we do not have a customer who will be invested in the integration and the partnership, we don't do it. The number one thing we ask when somebody says, I want to partner with you, is, who's the customer, what's the use case, and why, right. Then if we can get good answers to that, then we go down the path of a partnership. Even then, though, we're still pretty selective. We've got 150 partners today that are technology partnerships. But we've got a limited number, Splunk's a big one, that we really invest heavily in, far more than the others, far more than just an API integration, the stuff of getting out to customers in the field the development of apps and integration, those things. >> Talk about, we laugh about Barney deals sometimes, I love you, you love me, let's do a press release. What differentiates that sort of Splunk level of partnership? Is it engineering resources? Is it deeper go to market? Maybe talk about that a little. >> Yeah, I hate Barney partnerships completely. If I do those, fire me, truthfully. I think the value that we've done with Splunk that we've really drawn out is, we've built this app, right, so BD has a team of developers on our team that writes the app for Splunk. We have spent four years developing this app. We were the first company to do adaptive response before it was called adaptive response. You see something in Splunk, you can actually take action back to a firewall to actually block something, quarantine something, anything like that. The app today is really focused on our products, right, through Endpoint, WildFire, things like that, right, so it's very product focused. We're actually putting in a lot of time and effort into a brand new app that we're developing that we're showing off now that we'll ship in about a month a half that's really focused on adversaries and incidents. We have something called the adversary score card where it'll show you, this is what's actually happening on my network, how far is this threat penetrating my network and my endpoints, is it being stopped, when is it being stopped. Then we've got an incident flow, too, that shows that level down to Traps prevented this, and here's how it prevented it. Then if we go back to the adversary score card, it ties into what part of the kill chain did we actually stop it at. For a CISO, when you come in and you say, there's a new outbreak, there's a new worm, there's a new threat that's happening, how do I know that I'm protected? Well, Splunk gives you great access to that data. What we've done is an app on top of it that's a single click. A SOC guy can say, here's where we're at, here's where we've blocked it. >> I guess I've been talking to a lot of folks here the last two days, and we've got a vendor right over here, we're talking, they have a little scorecard up, and they tell you about how certain intrusions are detected at certain intervals, 190 days to 300 and some odd days. Then I hear talk about a scorecard that tells you, hey, you've got this risk threat, and this is what's happened. I mean, I guess I'm having a hard time squaring that all up with, it sounds like a real time examination. But it's really not, because we're talking about maybe half a year or longer, in some cases, before a threat is detected. >> Yeah, so as a company, we've really focused on prevention. Prevent as much as you can. We have a product called WildFire, where we have tens of thousands of customers who actually share data with us, files and other things, files, URLs, other things. What we do is we run those through sandboxing, dynamic analysis, static analysis, all sorts of stuff, to identify if it's malicious. If it's malicious, we don't just start blocking that file, we also send down to the firewall all the things that it does. Does it connect to another website to download a different payload, does it connect to a C&C site, command and control site? What's that malware actually doing? We send that down to the customer, but we also send it to all of our customers. It may hit a target, right, the zero day hit one customer, but then we start really, how do we prevent this along the way, both in the network and at the endpoint? Yeah, there are a lot of people that talk about breaches long term, all that, what we're trying to make sure is we're preventing as much as we can and letting the SOC guys really focus on the things that they need to. A simple piece of malware, they shouldn't be having to look at that. That should be automatically stopped, prevented. But that advanced attack, they need to focus on that and what are they doing about it. >> The payloads have really evolved in the last decade. You mentioned zero day. Think about them, we didn't even know what it was in the early 2000s. I wonder if you could talk about how your business has evolved as the sophistication of the attackers has evolved from hacktivist to organized crime to nation state. >> Yeah, yeah. It has evolved a lot, and when you think about the company, 42,500 customers says a lot. We've been able to grow that out. When you talk about a product, something like WildFire that does this payload analysis, when we launched the product it was free. You'd get an update about every 24 hours, right. We moved it down to, I think it was four hours, then it was an hour, 20 minutes, and now it's about five minutes. In about five minutes, we do all that analysis and how do we stop it. Back to the question is, when you're talking about guys that are just using malware and running it over and over, that's one thing. But when you're talking about sophisticated nation states, that's where you've got to get this, prevent it as quickly as you possibly can. >> If we're talking about customer value, you've kind of touched on it a little bit, but ultimately, you said you've got some to deal with Splunk, some to deal with you, some are now dealing with both. End of the day, what does that mean to me, that you're bringing this extra arsenal in? How am I going to leverage that in my operations? What can I do with it better, I guess, down the road? >> Yeah, I think it really comes down to that, how quickly can you react, how do you know what to react to. I mean, it's as simple as that, I know it sounds super simple, but it is that. If I'm a SOC guy sitting in a SOC, looking at the threats that are happening on my network, what's happening on my endpoints, and being able to say, this one actually got through the firewall. It was a total zero day, we had never seen it before. But it landed at the endpoint, and it tried to run and we prevented it there. Now you can go and take action down to that endpoint and say, let's get it off the endpoint, the firewall's going to be updated in a few minutes anyway. But let's go really focus on that. It's the focus of, what do you need to worry about. >> Dave: Do you know what a zero day is? >> You've kind of, yeah, I mean, it's the movie, right? >> He's going, no, no, there was a movie because of the concept-- >> Because of the idea. >> David's note, there's been zero days of protection. But you can explain it better than I can. >> Yeah, zero day means it's a brand new attack, never seen before, whether it be-- >> Unique characteristics and traits in a new way that infiltrate, and something that's totally off from left field. >> When you think about it, those are hard to create. They take a lot of time and effort to go find the bugs in programs, right. If it's something in a Microsoft or an Oracle, that's a lot of effort, right, to go find that new way to do a buffer overflow or a heap spray or whatever it is. That's a lot of work, that's a lot of money. One of the things we focused on is, if we can prevent it faster, that money, that investment those people are making is out the window. We really, again, are going to focus on the high end, high fidelity stuff. >> The documentary called "Zero Days," but there was, I don't know how many zero day viruses inside of Stuxnet, like, I don't know, four or five. You maybe used to see, the antivirus guys would tell you, we maybe see one or two a year, and there were four or five inside of this code. >> Loaded into one invasion, yeah, yeah, yeah. >> It's the threat from within. I mean, one of the threats, if I recall correctly, was actually, they had to go in and steal some chip at some Taiwanese semiconductor manufacturer, so they had to have a guy infiltrate, who knows, with a mop or something, stick a, had to break in, basically. These are, when you see a payload like that, you know it's a nation state, not just some hacktivist, right, or even organized crime doesn't necessarily have the resources for the most part, right? >> It's a big investment, it is. Zero days are a big investment, because you've got to figure it out, you may have to get hardware, you have to get the software. It's a lot of work to fund that. >> They're worth a lot of money on the black market. I mean, you can sell those things. >> That's why, if we make them unusable fairly quickly, it stops that investment. >> We were talking with Monte Mercer earlier, just talking about his comments this morning, keynotes about you could be successful defending, right. It's not all bets are off, we're hopeless here. But it still sounds as if, in your world, there are these inherent frustrations, because bad guys are really smart. All of a sudden, you've got a whole new way, a whole new world that you have to combat, just when you thought you had enough prophylactic activity going on in one place, boom, here you are now. Can you successfully defend? Do you feel like you have the tools to be that watch at the gate? >> I'd be a liar if I say you can prevent everything, right. It's just not possible. But what you've got to be able to prevent is everything that's known, and then take the unknown, make it known as quickly as possible, and start preventing that. That's the goal. If anybody out here is saying they prevent everything, it's just not true, it can't be true. But the faster you take that unknown and make it known and start preventing it, that's what you do. >> Well, and it's never just one thing in this world, right? Now there's much more emphasis being placed on response and predicting the probability of the severity and things of that nature. It really is an ecosystem, right. >> Terry: It is, that's what I do. >> Which is kind of back to what you do. How do you see this ecosystem evolving? What are your objectives? >> I think that from my standpoint, we'll continue to build out new partnerships for customers. We really focus on those ones that are important to customers. We recently did a lot with authentication partners, right, because that's another level of, if people are getting those credentials and using them then what are they doing with them, right? We did some new stuff in the product with a number of partners where we look at the credentials, and if they're leaving the network, going to an unknown site, that should never happen, right? Your corporate credentials should never go to some unknown site. That's a good example of how we build out new things for customers that weren't seen before with a partner. We don't do authentication, so we rely on partners to do that with us. As we continue to talk about partnership and BD, we're going to continue to focus on those things that really solve that need for our customer. >> Well, I don't know how you guys sleep at night, but I'm glad you do. >> Dave: No, we don't. What do you mean? I'm glad you don't. >> It's 24/7, that's for sure. >> Terry: Yes. >> Terry, thanks for being with us. >> Thank you very much. >> We appreciate the time, glad to have you on the Cube. The Cube will continue live from Washington, DC, we're at .conf2017. (busy electronic music)
SUMMARY :
conf2017, brought to you by Splunk. There's just something about the crowd's lingering still, I don't know, the band's here. But you can tell the Splunkers are alive and well. You bet, you bet, thanks for joining us. But first off, what's the partnership all about? In the field, we have reps working together and been growing the product set pretty well, and everybody wants to partner with you guys. the stuff of getting out to customers in the field Is it deeper go to market? We have something called the adversary score card and they tell you about how certain intrusions are detected We send that down to the customer, The payloads have really evolved in the last decade. and how do we stop it. End of the day, what does that mean to me, It's the focus of, what do you need to worry about. But you can explain it better than I can. and something that's totally off from left field. One of the things we focused on is, and there were four or five inside of this code. I mean, one of the threats, if I recall correctly, you may have to get hardware, you have to get the software. I mean, you can sell those things. it stops that investment. just when you thought you had enough prophylactic But the faster you take that unknown and make it known and predicting the probability of the severity Which is kind of back to what you do. We did some new stuff in the product but I'm glad you do. What do you mean? We appreciate the time, glad to have you on the Cube.
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Stephen Hunt, Team Rubicon | Splunk .conf2017
>> Announcer: Live from Washington, DC it's theCUBE. Covering .conf2017. Brought to you by Splunk. >> Welcome back here on theCUBE we continue our coverage of .conf2017 here at the Splunk event with about seven thousand plus Splunkers. Along with Dave Vellante, John Walls. I like that Splunkers. >> You a Splunker? >> Not sure I'd be qualified. >> I'm learning how. >> I'm not qualified. >> to be come one. >> I don't think. >> I think we're kind of in the cheap seats of Splukism right now. Certainly there's a definitely vibe and I think that there's this whole feeling of positivity amongst our community right, that is to get a sense of that here. >> Dave: Hot company, data centers booming. >> It's all happenin', so we are in the Walter Washington Convention Center day two of the convention. We're joined now by of Stephen Hunt who is the CIO of an organization called Team Rubicon. Stephen thanks for joining us here on theCUBE. Good to have you Sir. >> Thank you for having me. >> And CTO too correct? >> And CTO. >> So first off let's talk about Team Rubicon. Veterans based organization, you team up with disaster emergency responders, first responders, to come in a crisis management times of disasters I'm sure extremely busy right now. Gave birth to this organization back in 2010 after the Haiti earthquakes. So tell us a little bit more about your mission and what you're doing now I assume you're up to your ears and all kinds of work, unfortunately. >> Yeah so our, just speaking to our mission, our purpose is to leverage the skills a military vets and first responders in disaster. The capacity and skills that vets bring after active duty in the in the services, is remarkable resource that we've learned to tap to help people in need around the world. This is one of our or this is our busiest time right now. You know we're responding in the greater Houston area in Florida, the Florida Keys, British Virgin Islands, Puerto Rico, Mexico, Turks and Caicos. And it's just it's incredible what we're able to do and in aiding people from the point of search and rescue to recovery and resilience, there's a broad spectrum of activities that are our people engage in to make that all happen and across a diversity of locations. It's been truly remarkable and challenging in ways that we never imagined right now. >> And I should add that you're a veteran yourself. Paratrooper, 82nd Airborne, a reservist, but also have an engineering background MIT Lincoln Laboratories for 20 some plus years. So you've got this interesting combination of experiences that have brought you into a company that is also a beneficiary of the Splunk for Good Program part of the Splunk pledge Program. So are you bring a pretty interesting portfolio to the job here Stephen. >> It's a bit unusual I do understand how a lot of the world works, not because I'm the smartest person in the room, I have a bit of a head start there's a lot of experience there and so bringing my engineering skills to the field, as well as to the business office and how we operate. And working with companies like Splunk, you know I can see, pretty quickly, what's hard, what's easy. I understand that Splunk needs our requirements in order to deliver product that's meaningful to us and our mission. So tying that all together it is a bit unusual for an NGO to have someone like me around. I got involved simply to help people. When they told me at some point are that we're going to build a business to help people, I said I don't come here to build a business. And it took me a little while to get oriented around the fact that as we expand the brand as we bring it around the globe, it takes a strong business model and a strong technical model in how we project humanitarian aid in austere settings. >> In order to scale right. >> So Tell us more about the organization how large is the organization, you know, where do you get the resources, how is it funded. >> So we're almost a 100% privately funded. So corporations, foundations, individual donors from across the country and across the world. We have about sixty thousand members and these are volunteers in and globally, so how in the world do you do that? Well, it turns out we grew up at about the same time the cloud industry grew up, we've been around seven years. And I would like to say that I'm some kind of genius and I said well we should follow the cloud, it was a judgment call and it was what we could manage. Today we have about thirty five to forty cloud software products that drive everything from donor management, volunteer management, how we deal with our beneficiaries, as well as our employees. And and it's not just about product in mission it's about protection and seeing through what's happening at the company at scale. We have about anywhere from eight hundred to 15 hundred people sign up to join, to become a part of Team Rubicon every week. >> Dave: Every week? >> And we couldn't do that without scale, without cloud technology it's been truly remarkable. >> And the volunteers or or all veterans, is that right? >> About 80, 75 to 80% military vets, first responders and others. >> Okay, so they just they make time to take time off from work, or whatever it is and go volunteer. They'll get permission from whom ever. Their employers, their wives and husbands. >> The payment that we provide is a renewed sense of purpose. When you know you take off the uniform there is a certain part of your identity that goes on the hanger and people don't see in you that's missing and we get that back. Through service and being around like minded individuals it's just amazing when we bring all of our people together and they align to work to this common mission. >> So in the in the take a recent examples in Florida and Houston are they predominantly people that are proximate to those areas? Are you are you having to fly people in, how does that all work? We literally have people coming in from all over the world. Generally, with the way we run operations to keep them cost effective as we look first within 450 miles of an affected area, and and bring in people in close proximity. If there is need greater than that, then we expand the scope of the distance if you will. Logistically, where we bring folks in. we're all the way now to bring in people from Australia, Norway, Canada, as well as the UK and working alongside each other seamlessly and that's really due to our standards and training. You can imagine when we scale it's not just the technology but it's how you use it, in the field, and in the business environment in the office. >> Are they responsible for figuring out where they sleep, where they eat, I mean how does that all work. >> Yeah, we set that up, in the early days we kind of took care of it ourselves, you know we reach into our own pockets and the small groups run around the planet and help people. It was kind of a club, now it's a whole different story. When we're bringing in 500 people a day, we need to know how they're fed, is this safety, security and protection, not just physically, but also emotionally. You want to make sure that we're really looking after people before, during and after they deploy and help people. So we put them up, and typically it's not the Ritz, you know might be a cot in a warehouse somewhere. But I've stayed at hotels with Team Rubicon members and maybe sometimes eight in the room. My old job Wasn't like that, all these guys are fighting to see who's going to sleep on the floor. I mean it's it's a really interesting you know. >> You have very different dynamic I'm sure. So you talk about these global operations expanding what four or five countries you mentioned with thoughts of one larger. I know communications are huge part of that you have a partnership now with a a prominent satellite firm you know in Inmarsat and how is that coming to benefit your operations and does Splunk come in the play with that global communications opportunity? >> Inmarsat and Splunk have been truly remarkable impacting and working toward greater impact in how we deliver aid around the globe. And make a couple of very clear points and deliver a metric here. We're running maybe 15 simultaneous operations distributed across all those areas I just discussed earlier. And historically, in all the time that I've been with Team Rubicon we've always had outages when it comes to communicating with our staff in these austere settings. You know we have to life safety is everything. That's the most important thing on my list, is the welfare of the people I'm looking after, and our employees, volunteers and our beneficiaries. When we can't communicate if something goes wrong it's a problem Inmarsat has set us up with communications gear in such a way that even though running all these operations at our most challenging time, I haven't had one complaint. About not being able to communicate. And what's Splunk is doing, is integrating with the Inmarsat backend to provide us the status of all of that equipment and and so from a perspective where are they all located, what is the status of the you know the data usage to make sure that somebody doesn't get arbitrarily shut off, you know that strategic view of what's happening across the globe. And this was something that we've negotiated or Inmarsat asked us to do, and Splunk is stepping up to take care of that for us so that we can ensure life safety and coordination happen seamlessly. Just one more point about this, if you could communicate with everyone everyday you're planning team isn't sitting idle wondering what it needs to do next. So this tertiary effect, is really driven our planning team to perform in a way that guides material and resources that I didn't really think about, But it's quite remarkable. >> So, you please, I thought you finished, I apologize. >> No, it's OK. >> I'm excited. >> It's fantastic. >> So the tech let's get into the tech side of this. You got SaaS apps, you got logistics, you got comms, you got analytics stuff, you got planning, you got collaboration and probably a hundred other things that I haven't mentioned. Maybe talk about you put your CTO hat on. >> Oh no, absolutely, so one of the things I say to our people, you know the technology is important but people are more important. And and so how we work with technology, its adoption as a CIO is critical. I need to say that when we're provided quality top tier software technologies to support education and training, as I mentioned, volunteer management, information management and security. And they were adopted naturally and they take off like a fire on a dry day, it means Splunk and other companies produced a great product. And we've seen this time and again with our ecosystem. So it's a general statement about the cloud technologies. Many companies have just done an exceptional job at building products that our people can work with. So I don't really complain too much about adoption across the board or struggle with it, I should say. So Google, Microsoft, Splunk, Cornerstone OnDemand, Salamander, Everbridge, Palantir. >> Be careful it's like naming the kids you're going to leave somebody out. So many of these great benefactors. >> Yeah, they're used to it but we work with all and our new COO came in, I apologize, I was CIO/CTO of Team Rubicon USA for about three years and I just moved over to Team Rubicon global to help orchestrate our global footprint. And we've set up licensing and a model for where instances of software are located to meet the legal regulatory framework for doing business internationally. And but the the COO of USA, and I'm so proud of what USA is doing right now, it's just blowing up. I mean what they're accomplishing as the largest Team Rubicon entity. But he looked at me, he said, Steve we got to get rid of some of these software products, and I said well, tell me what you don't want to do and I'll delete it, happy to. And instead the numbers gone up by 10 you know since that conversation. So there's some great challenges with and great opportunities, but as you know when your capacity increases, working with data and information your risk also goes up. So we work hard it impacting the behaviors of all of our people, it doesn't happen in a month or two months it takes years. So that everyone is security minded and making good decisions about how we work with information and data, you know whether it's a collective view provided by a product like Splunk which gives us this global view of information. You know if we have people working in a in a dangerous area and all of a sudden we know where all of our people are we just don't post that up on the open internet right. That's a bad idea just to give you a simple example. Down to the PII of our members and employees. And we're becoming very good at that. And for an NGO that's unusual and we're going to be driving an independent security audit fairly soon, to push it even further with the Board of Directors and executives, and so the business team can make decisions about how what we do technically based on you know liability in business model, right for how we work, but for me, the highest priority's protection of everyone. >> Well, it is a wonderful organization and we sincerely Dave and I both thank you for your service, present and future tense, for your service absolutely. Team Rubicon they will accept contributions, both time and treasure so visit the website Team Rubicon and see what you might be able to do to lend help to the cause, great cause that it is. Thank you Stephen. Back with more from .conf2017 here in DC, right after this.
SUMMARY :
Brought to you by Splunk. conf2017 here at the Splunk event that is to get a sense of that here. Good to have you Sir. and what you're doing now I assume in the in the services, is remarkable resource of experiences that have brought you into a company around the fact that as we expand the brand how large is the organization, you know, so how in the world do you do that? And we couldn't do that without scale, About 80, 75 to 80% military vets, to take time off from work, or whatever it is and they align to work to this common mission. and in the business environment in the office. Are they responsible for figuring out where they sleep, and the small groups run around the planet and help people. So you talk about these global operations of the you know the data usage to make sure So the tech let's get into the tech side of this. And and so how we work with technology, Be careful it's like naming the kids and all of a sudden we know where all of our people are and we sincerely Dave and I both thank you
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Robert Herjavec & Atif Ghaur, Herjavec Group | Splunk .conf2017
>> Announcer: Live from Washington, DC it's theCUBE. Covering .conf2017. Brought to you by Splunk. >> Welcome back here on theCUBE continuing our coverage of .conf2017 sponsored by Get Together in your nations capitol, we are live here at the Walter Washington Convention Center in Washington, DC. Along with Dave Vellante I'm John Walls Joined now by a couple CUBE alums, actually, you guys were here about a year ago. Yeah, Robert Herjavec, with the Herjavec Group of course you all know him from Shark Tank fame answer Atif Ghauri who is the VP of Customer Service Success at the Herjavec Group. I love that title, Atif we're going to get into that in just a little bit. Welcome. >> Thank you. >> Good to see you all. >> We're more like CUBE groupies We're more like CUBE groupies. >> Alums. >> Alums, okay, yeah. >> If we had a promo reel. >> Yeah, we love it here. We get free mugs with the beautiful Splunk. >> That doesn't happen all the time does it. >> Where did you get those? >> They're everywhere. >> Dave, I'll share. >> So again for folks who don't, what brings you here what, what's the focus here for the Herjavec Group in in terms of what you're seeing in the Splunk community and I assume it's very security driven. >> Yeah, well we've been part of the Splunk community for many years going on gosh, eight, nine years. We're Splunkers and we use Splunk as our core technology to provide our managed service and we manage a lot of customer environments with Splunk and we've been really forefront of Splunk as a SIM technology for a long time. >> Atif, excuse me, David, just the title, VP of Customer Service Success, what's under that umbrella? >> Yeah, it's actually pretty simple and straightforward given especially that Splunk's aligned the same way. Christmas success is King, right. If our customers aren't successful then how are we successful? So what we're trying to do there is putting the customer first and help in growing accounts and growing our services starting with our customers that we have today. >> It was actually Doug Maris, I have to give him full credit him and I were on a flight, and I said to him what's really critical to you growing revenue, efficiency, innovation and he said, number one for us is customer success. So we're very happy to steal other people's ideas if they're better. >> So security's changing so fast. You mentioned SIM, Splunk's narrative is that things are shifting from a traditional SIM world to one of an analytic driven remediation world. I wonder if you could talk about what you're seeing in the customer base, are people actually shifting their spending and how fast and where do you see it all going? >> Yeah, so the days of chasing IOC's is a dead end. Because that's just a nonstop effort. What's really happening now is technique detection. Defining, looking at how hackers are doing their trade craft and then parroting that. So Splunk has ideas and other vendors have ideas on how to go about trying to detect pattern recognition of attacker trade craft. And so what definitely was driving what's next when it comes to security automation, security detection, for our customers today. >> You know, we always tell people and it's just dead on but the challenge is people want to buy the, sexy, exciting thing and why I always try to say to customers is you're a dad and you have three kids, and you have a minivan. You don't really want to own a minivan, you want a really nice Ferrari or Corvette but at the end of the day, you have three kids and you got to get to the store. And in the security world it's a little bit like that. People talk about artificial intelligence and better threat metrics and analytics but the core, foundational basis still is logs. You have to manage your log infrastructure. And the beauty of Splunk is, it does it better than anyone and gives you an upstream in fact to be able to do the analytics and all those other things. But you still got to do the foundation. You still got to get three kids into the minivan and bring back groceries. >> So there's been a lot of focus, obviously security's become a Board level topic. You hear that all the time, you used to not hear it all the time, used to be IT problem. >> Absolutely, the only way I could get a meeting with the CEO or CIO was because I was on Shark Tank. But as a security guy, I would never meet any executives. Oh yeah I spend 80% of my time meeting with CEO, not just CIO's, but CEO's and Boards and that kind of stuff, absolutely. >> How should the CIO be communicating the Board about security, how often, what should be the narrative you know, transparency, I wonder if you could give us your thoughts. >> It's a great question. There's a new financial regulation that's coming out where CISO's and CIO's actually have to sign off on financial statements related to cyber security. And there's a clause in there that says if they knowingly are negligent, it carries criminal charges. So the regulations coming into cyber security are very similar to what we're seeing and Sarbanes Oxley like if a CEO signs an audit statement that he suspects might have some level of negligence to it I'm not talking about outright criminal fraud but just some level of negligence, it carries a criminal offense. If you look at the latest Equifax breach, a lot of the media around it was that there should be criminal charges around it. And so as soon as as you use words like criminal, compliance, audit, CEO's, executives really care. So the message from the CIO has to be we're doing everything in our power, based on industry standards, to be as secure as we can number one. And number two we have the systems in place that if we are breached, we can detect it as quickly as possible. >> So I was watching CNBC the other day and what you don't want to see as a Board member, every Board members picture from Equifax up there, with the term breach. >> Is that true? >> Yeah, yeah. >> See, but, isn't that different. Like you never, like if we think back on all the big breaches, Target and Sony they were all seminal in their own way. Target was seminal because the CEO got fired. And that was the first time it happened. I think we're going to remember Equifax, I didn't know that about the Board. >> For 50 seconds it was up there. I the sound off. >> You don't want to be a Board member. >> I mean, I hate to say it, but it's got to be great for your business, first of all it's another reason not to be a public company is one more hurdle. But if you are they need help. >> They absolutely need help. And on point I don't want to lose is that what we're seeing with CISO's, Chief Information Security Officers, Is that that role's transcending, that role is actually reporting directly to in to CEO's now. Directly into CFO's now, away from the CIO, because there's some organizational dynamics that keep the CISO from telling, what's really going on. >> Fox in henhouse. >> Exactly. >> You want to separate those roles. You're you're seeing that more often. What percent of the CISO's and CIO's are separate in your experience? >> Organizations that have a mature security program. That have evolved to where it's really a risk-based decision, and then the security function becomes more like risk management, right. Just what you they've been doing for decades. But now you have a choice security person leading that charge. >> So what we really always saying theCUBE, it's not a matter of if, it's when you're going to get infiltrated. Do you feel as though that the Boards and CIO's are transparent about that? Do Boards understand that that it's really the remediation and the response that's most important now, or there's still some education that has to go on there? >> You know, Robert speaks to Boards are the time he can comment on that, but they really want to know two things, how bad is it and how much money do you need. And those are the key questions that's driving from a Board perspective what's going to happen next. >> What's worse that Equifax got breached or that Equifax was breached for months and didn't know about it. I mean, as a Board member the latter is much worse. There's an acceptance like I have a beautiful house and I have big windows a lots of alarms and a dog, not a big dog, but still, I have a dog. >> A yipper. >> Yeah, I have a yipper. It's worse to me if somebody broke into my house, was there for a while and my wife came home at night and the person was still there. That to me is fundamentally worse than getting an alarm and saying, somebody broke the window, went in, stole a picture frame. You're going to get breached, it's how quickly you respond and what the assets are. >> And is it all shapes and sizes, too I mean, we talk about big companies here you've mentioned three but is it the mid-level guys and do smaller companies have the same concerns or same threats and risks right now? >> See these are the you heard about. What about all the breaches you don't know. >> That's the point, how big of a problem are we talking about? >> It's a wide scaling problem right and to the previous question, the value now in 2017, is what is the quality of your intelligence? Like what actions can I take, with the software that you're giving me, or with the service that you're giving me because you could detect all day but what are you going to do about it? And you're going to be held accountable for that. >> I'm watching the service now screen over here and I've seen them flash the stat 191 days to detect an infiltration. >> That sounds optimistic to me. I think most people would be happy with that if they could guarantee that. >> I would think the number's 250 to 300 so that now maybe they're claiming they can squeeze that down but, are you seeing any compression in that number? I mean it's early days I know. >> I think that the industry continues to be extremely complicated. There's a lot of vendors, there's a lot of products. The average Fortune 500 company has 72 security products. There's a stat that RSA this year that there's 1500 new security start ups every year. Every single year. How are they going to survive? And which ones do you have to buy because they're critical and provide valuable insights. And which ones are going to be around for a year or two and you're never going to hear about again. So it's a extremely challenging complex environment. >> From the bad guys are so much more sophisticated going from hacktivists to whatever State sponsored or criminal. >> That's the bottom line, I mean the bad guys are better, the bad guys are winning. The white hats fought their way out to the black hats, right. The white hats are trying, trying hard, we're trying to get organized, we're trying to win battles but the war is clearly won by the by the black hats. And that's something that as an industry we're getting better at working towards. >> Robert, as an investor what's your sentiment around valuations right now and do you feel as though. >> Not high enough. >> Oh boy. >> Managed security companies should be trading way higher value. >> Do you feel like they're somewhat insulated? >> Its a really good question, we're in that space you know we're we're about a $200 million private company. We're the largest privately held, managed security company in the world actually. And so I always think every time we're worth more I think wow, we couldn't be worth more, the market can't get bigger. Because your values always based for potential size. Nobody values you for what you're worth today. Because an investor doesn't buy history an investor doesn't buy present state, an investor buys future state. So if the valuations are increasing, it's a direct correlation because the macro factors are getting bigger. And so the answer to your question is values are going to go up because the market is just going to be fundamentally bigger. Is everybody going to survive? No, but I think you're going to see valuations continue to increase. >> Well in digital business everybody talks about digital business. We look at digital business as how well you leverage data. We think the value of data is going through the roof but I'm not sure customers understand the intrinsic value of the data or have a method to actually value their data. If they did, we feel like they would find it's way more valuable and they need to protect it better. What are you seeing in that regard with customers? >> There's an explosion of data in that with IoT, internet of things, and the amount of additional data that's come now. But, to your point, how do you sequence and label data? That's been a multi-decade old question more organizations struggle with. Many have gone to say that, it's all important so let's protect it all, right. And verses having layers of approach. So, it's a challenging problem, I don't think across all our customer base. That's something that each wrestling with to try to solve individually for their companies. >> Well, I think you also have the reality though of money. So, it's easy to say all the data is important, Structured unstructured, but you look at a lot of the software and tools that you need around this floor are sold to you on a per user or per ingestion model. So, even though all your data is critical. You can't protect all your data. It's like your house, you can't protect every single component of it, you try, and every year gets better maybe get a better alarm maybe I'll get rid the yappy dog and get a Doberman you know you're constantly upgrading. But you can't protect everything, because reality is you still live in an unstructured, unsafe world. >> So is that the complexity then, because the a simple question is why does it take so long to find out if there's something wrong with your house? >> I think it's highly complex because we're dealing with people who are manipulating what we know to their benefit in ways we've never done it. The Wannacry breach was done in a way that had not been done before. If it had done before we could have created some analytics around it, we could created some, you know, metrics around it but these are attacks that are happening in a way we've never seen before and so it's this element of risk and data and then you always have human nature. Gary Moore was that the Council this morning. The writer of Crossing the Chasm, legendary book, and he said something very interesting which was Why do people always get on a flight and say, good luck with the flight, hope you fly safe. But they don't think twice about hopping in their car and driving to the grocery store. Whereas statistically, your odds of dying in that car are fundamentally greater, and it's human nature, it's how we perceive risk. So it's the same with security and data in cyber security. >> As security experts I'm curious and we're here in DC, how much time you think about and what your thoughts might be in the geopolitical implications of security, cyber war, you know it's Stuxnet, fast forward, whatever, ten years. What are you thoughts as security practitioners in that regard? >> The longest and most heated battles in the next World War, will not be on Earth, they'll be in cyberspace. It's accepted as a given. That's the way this Country is moving. That's the way our financial systems are tied together and that's the way we're moving forward. >> It's interesting we had Robert Gates on last year and he was saying you know we have to be really careful because while we have the United States has the best security technologies, we also have the most to lose with our infrastructure and it's a whole new you know gamification or game theory balance we have to play. >> I would agree with him that we have some of the best security technology in the world but I would say that our barometer and our limiter is the freedom of our society. By nature what we love about our country and Canada is that we love freedom. And we love giving people access to information and data and free speech. By nature we have countries that may not have as good a security, but have the ability to limit access to outsiders, and I'm not saying that's good by any means but it does make security a little bit easier from that perspective. Whereas in our system, we're never going to go to that, we shouldn't go to that. So now we have to have better security just to stay even. >> To Dave's point talking about the geopolitical pressures, the regulatory environment being what it is, you know legislators, if they smell blood right, it in terms of compliance and what have you, what are you seeing in terms of that shift focus from the Hill. >> Great question. I did a speech to about two thousand CIO's, CISO's not long ago and I said, how many people in this room buy security to be more secure and how many people buy because you have to be compliant. 50/50, even the security ones admitted that how they got budget was leveraging the compliance guys. It was easier to walk into CEO's office and say look, we have to buy this to meet some kind of a political, compliance, Board issue. Than it was to say this will make us better. Better is a hard sell. So that, has to go to the head to pull the trigger to do some of that. >> You know, I think in this geopolitical environment it's look at the elections, look at all the rhetoric. It's just there is going to be more of that stuff. >> A lot's changed in crypto and its potential applications in security. More money poured into ICO's in the first half than venture backed crypto opportunities. >> There are practical applications of blockchain technology all across the board, right, but as you mentioned is fundamentally built on pathology. On core gut security work and making a community of people decide whether something's authentic or not. It's a game changer, as far what what we could do from a platform standpoint to secure our financial systems and short answer it's volatile. As you saw with the fluctuation of Bitcoin and then the currency of Bitcoin, how it's gone up and down. It's quite volatile right now because there's a lot of risk So I say what's the next Bitcoin in six months or eighteen months and what's going to happen to the old Bitcoin and then all the money that into there, where is that going to go? So that's a discuss the pivot point I think for the financial services industry and more and more their larger institutions are just trying to get involved with that whole network of blockchain. >> Crypto currencies really interesting. In some ways it's the fuel that's funding the cyber security ransomeware. I mean it's one of the easiest ways to send money and be completely anonymous. If you didn't have crypto currency, how would you pay for ransomware? You give them your checking account? You deposit into their checking account? So, I think that you're seeing a big surge of it but if you look at the history of money or even checks, checks were developed by company called Deluxe here in the United States 104 years ago. They're a customer of ours, that's why I know this, but the basis of it is that somebody, a real institution with bricks and mortar and people in suits is backing that check, or that currency. Who's backing crypto currency today? So you have, by nature, you have this element of volatility and I don't know if it's going to make it or it's not going to make it. But inevitably has to cross from a purely electronic crypto form to some element of a note or a tender that I can take from that world and get backing on it. >> That's kind of what Warren Buffet has said about it. I mean I would respond that it's the community, whatever that means, that's backing it. I mean, what backs the greenback, it's the US Government and the US military. It's an interesting. >> Right like, at the end of the day I would still rather take a US dollar than even a Canadian dollar or a UK dollar. >> Gentlemen thanks for being with us. >> Great to see you. >> Thank you for the coffee mug. >> This is incredible. >> There's actually stuff in it too so be careful. >> I drank it is that okay? >> Can I go to the hospital. >> Atif, thanks for the time and Robert good luck with that new dog. (all laughing) >> Don't tell my wife I got rid of her dog. >> In time. >> In time. All things a time, theCUBE continues live here Washington DC at .conf2017 right after this.
SUMMARY :
Brought to you by Splunk. of Customer Service Success at the Herjavec Group. We're more like CUBE groupies Yeah, we love it here. for the Herjavec Group in in terms of We're Splunkers and we use Splunk as that Splunk's aligned the same way. what's really critical to you growing revenue, I wonder if you could talk about what you're seeing Yeah, so the days of chasing IOC's is a dead end. but at the end of the day, you have three kids You hear that all the time, you used to Absolutely, the only way I could get a meeting How should the CIO be communicating the Board So the message from the CIO has to be and what you don't want to see as a Board member, I didn't know that about the Board. I the sound off. You don't want to be I mean, I hate to say it, but it's got to be great that keep the CISO from telling, what's really going on. What percent of the CISO's and CIO's Just what you they've been doing for decades. the remediation and the response that's most important now, and how much money do you need. I mean, as a Board member the latter is much worse. and the person was still there. What about all the breaches you don't know. and to the previous question, the value now 191 days to detect an infiltration. That sounds optimistic to me. that down but, are you seeing And which ones do you have to buy From the bad guys are so much more sophisticated are better, the bad guys are winning. around valuations right now and do you feel as though. be trading way higher value. And so the answer to your question is values the intrinsic value of the data or have a method There's an explosion of data in that with IoT, of the software and tools that you need around this floor and say, good luck with the flight, hope you fly safe. and we're here in DC, how much time you think about and that's the way we're moving forward. and it's a whole new you know gamification but have the ability to limit access that shift focus from the Hill. and how many people buy because you have to be compliant. it's look at the elections, look at all the rhetoric. More money poured into ICO's in the first half all across the board, right, but as you mentioned I mean it's one of the easiest ways to send money it's the US Government and the US military. end of the day I would still rather take a US dollar Thank you for the in it too so be careful. Atif, thanks for the time and Robert good luck In time.
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Ray Zhu & Roger Barga, AWS | Splunk .conf 2017
>> Narrator: Live from Washington D.C., it's theCUBE covering .conf2017 Brought to you by Splunk. (techno music) >> Well, welcome back to Washington D.C. We're at the Walter Washington Convention Center as we wrap up our coverage here of .conf2017. As Dave Vellante joins me, I'm John Walls here at theCUBE, coming to you live from our nation's capital. Joined by Team AWS here. With us we have rather, Ray Zhu rather, who is a senior product manager at AWS. And Roger Barga, who is the general manager of Amazon Kinesis Services. So gentlemen, thanks for being with us, we appreciate the time. >> Absolutely, thank you for the invitation. >> Dave: Oh, you're welcome. >> You bet. Alright, so let's just jump in. The streaming data thing, right? It's just blowing up. What's inspiring that popularity of the Cloud? What's kind of lit that fire and what's going to keep it burning? >> Yeah, I think over time, I think customers really do realize the value that you can get out of by collecting, analyzing, and reacting to data in real time. Cause that really provides a very differentiated experience to their customers, you know, for example you're able to analyze your user behavior data in real time, provide them with a much more engaging experience, much more relevant content. You're able to diagnosis your service, understand your law of data issues in real time, so that when you have an issue, you can fix that right away. So that really provides a very different customer experience. So I think our customers are realizing the value of real time processing, which is why we think streaming data is gaining more and more popularity. And this is why Cloud is all the good stuff that Cloud can offer and tell the customers. It's highly scalable, so you don't need to worry about if it's going to scale later on when I scale my business. It's a matter of sort of like click of a button. We scale the infrastructure for you and we got all the resource ready for you to go on streaming data. We got super, it's very cost effective, right? So that cause we price at very low. As we keep improving the efficiency of running the service, we reduce our cost structure, we return that back to our customers as a price cut. The third thing which I think is super important is agility, right cause you don't need to set up an infrastructure, install any software, make all the configurations. Starting up a Kinesis Stream is like 15 seconds on the average console, you're done. And it really allows the developers, the customers, to move fast and purely focus their resources and effort on the things that really differentiate their customer experience. >> So very AWS like, we love AWS, we're a customer, it's our favorite Cloud. We'll go on record of saying that, you know? (laughs) We're loyal to you guys. Crowd, our Crowd Chat App runs on it, basically run our whole company on Amazon, where we can. >> Roger: Great. >> In 2013, we got the preview of Kinesis. It was a lot of buzz. It was kind of before the whole streaming meme took over. We were talkin' about real time at the time, but so maybe you can take us through the evolution of Kinesis and where we are today. >> I'd be happy to. You know, when we first built Kinesis Stream, what the company was trying to do, is we had all of the AWS billing and metering records coming from all of our services, our EC2 incidences. This was a lot of data that had to be captured. And the way we were doing it was in batch. We were storing this data in S3 buckets. We were starting large EMR jobs up at the end of day actually to aggregate them by the customer account. So say this was your bill for the end of the day. But we had customers that said actually I'd like to know what I'm spending every hour, every few minutes. And frankly that batch processing wasn't scaling. So we had to innovate and create Kinesis Streams as a real time system that was constantly aggregating all of the billing and metering records that were coming in from our customer's accounts. Totalling them in near real time and we presented our customers with a new experience of billing and insights into their billing and even forecasts of what they were spending at any given time. But we had other teams that immediately looked at Kinesis and said hey, we're dealing with real time streaming data and our customers want it delivered and aggregated and provided, so Cloud watch logs and Cloud watch metrics built on top of us. And this was the start of something which continues to this day. Other services are looking at, and even customers, are looking at a Kinesis Stream and saying, that's a really useful abstraction that we can build a new service, a new experience for our customers. And today we have over a dozen AWS and Amazon retail services that build on top of Kinesis Streams as a fundamental abstraction to offer new experiences and new insights as three events. Cloud watch events, there's a host of services, which underneath Kinesis is running, but they're offering unique value building on top of it. Which is why Kinesis today is considered a foundational service and we can't build an AWS region without Kinesis being there for all these other services to build on top of. So that's been exciting to see that kind of adoption, different uses for this fundamental abstraction called a Kinesis Stream. And you know, it's also, and we can talk later about how it's transforming analytics, which is really exciting as well. >> Well, that's a great topic. I mean, why don't we talk about that. And one of the things that we've noted about AWS, and other Cloud providers, is obviously simplicity and delivering as a service is critical. We all know about the complexity of, for instance, the Hadoop Ecosystem And the challenges that a lot of customers have. Delivering that as a service has dramatically simplified their lives. That's why you see so many people going to the Cloud. We've always predicted that is what happened. Maybe talk about that a little bit. And then we can get into the analytics discussion. >> Yeah, so again, customers are always looking at ways to actually get insights into their data to better support their customers, to better understand what's going on in their business. And of course, Hadoop had managed EMR, had been a great benefit, cause customers could move their developers into the analytics that they want to do and not worry about this undifferentiated heavy lifting of operating these services. And the same is true for Kinesis Streams. But we're seeing customers, and if you stop for a moment and think about this, data never loses it's value. It always has it's historical value for machine learning, for understanding trends over time, but the insights that data has are actually very, very perishable and they can actually turn to zero within an hour if you can't extract those insights. That's the unique area where Kinesis Streams has kept adding value to our customers. Giving 'em the ability to get instant insights into what's going on in their business, their customers, their business processes, so they can take action and improve a customer experience, or capitalize on an opportunity. So what we're seeing and the role, I believe, that streaming data, at large, plays is about giving customers real time insights and then business opportunity to improve how they run their business. >> So. >> Go ahead, please. So who's using it? I mean or what's the if there's a sweet spot or a sweet spot for an industry or vertical to use that, I mean, in terms of whether it's in a minute, an hour, or whatever, what would that be? >> Yeah, so today, I'm really pleased to see, because we have watched this evolution since 2014, but today in virtually every market segment, where data is being continuously generated, we have customers that are actually taking advantage of the real time insights that they can get out of that data virtually every market segment. I'll pick a couple of examples which are kind of fun. One is Amazon Game Studios, near and dear to our heart. Now typically games are written, they're completely developed end to end. They're shipped in a box, made available to customers, and they hope that game and the engagement has the outcome that they want. Amazon Games Studios is actually writing that game in near real time ahead of their customers, so they release a new level of the game. They will actually watch the engagement. They'll look at how customers are dying, surviving, how long they're playing. And is it traveling in the direction they want? They stream all of the multi, all of the game data from their players in real time. And they build dashboards so they can see exactly how game play is going. And if they don't like it or they think they can make an improvement, they'll get right online, change the game itself, and re-deploy the game, so the customer experience is actually, within minutes it's being evolved. Another customer I like to talk about is Hertz Publishing. We all like to read. When Hertz started making the transition of their magazines, Cosmopolitan, Car and Driver, from print to digital form, they instrumented it so they could actually watch how long was a customer reading an article, how were their comments trending in Twitter and in Facebook. So they could actually get a sense of engagement with an article. Whether the article should be rebroadcast to other digital channels, other magazines. Should they change the article? Double down and write a new one. So again, they're engagement and then the business metrics by which they measure engagement and readers, readership have all increased because they have that intimate understanding of what's happening in real time. So again, every market segment, where there's data continuously generated, customers are using this to provide a better experience. >> That phrase undifferentiated heavy lifting we first heard it widely in the tech community in 2012 in Andy Jassy's keynote at Reinvent and it's become sort of a mantra. It probably was one well before that inside of AWS. And often times AWS doesn't talk about TCL but it's not the main reason why people go to the Cloud. You emphasized that a lot. And there's all this debate. Oh a cheaper on prem, oh no, Cloud is cheaper. But this idea of essentially eliminating labor that is doing that non-differentiated heavy lifting is something that you guys have really lived and popularized. We see that labor cost shifting from provisioning luns into other areas, up the stack, if you will. Application, digital business, analytics, et cetera. What are you guys seeing, in terms of how organizations, I mean, there's two types of organizations, right, the Cloud native guys who obviously didn't have the resources, but then enterprises that are bringing their business to the Cloud. Where are they shifting that undifferentiated heavy lifting labor towards? >> To. And they are in fact moving it up stream. We think about it very abstractly. You know, operating servers doesn't really bring any special IP that that company possesses to bear. It is about, you know, just managing servers, managing the software on it, figuring our how to scale. These are problems which we are able to take away. And we've often worked with customers and showed them the value of moving to our managed servers. And the excitement from the leadership, from their customers, is like wonderful. That project we couldn't, we aren't able to fund, if we can just onboard here, onto Kinesis for example, or any one of our managed services, then we can immediately move and get that fund project that we really wanted to fund, it would actually be unique value as move them over to that. So they're actually moving upstream as you said. And they're actually leveraging their unique understanding of their industry, their customer, to go ahead and add value there. So it is a distribution and I think in a very productive way. >> I want to ask about the data pipeline. So one of the values that AWS brings is simplification. When I look, however, at the data pipeline, it's very rich. If I look at the number of data services, Kinesis, Aurora, DYNAMO dv, EBS, S3, Glacier, each of these has a programming interface that is, I use the word primitive not in pejorative way but >> Roger: Yes, yes. >> But a deep level, low level. And so the data pipeline gets increasingly complex. There's probably a benefit of that, because I get access to the primitives, but it increases complexity. First of all, is that a fair assertion on my part? And how are your customers dealing with that? >> Be happy to take that one, yeah? >> Sure. >> Okay. >> Yep, so I think from our perspective all these different capabilities and technologies by customer choice. We build these services because our customers ask for them. And we order a wide variety so that people can choose for the developers who want to have full control over the entire staff, they have access to these lower level services. You know as you mentioned a few, DYNAMO dv, Kinesis Stream, S3, but we also build an abstraction layer on top of these different services. We also have a different set of customers asking for simplicity, just doing a specific type of things. I want you guys to take care of all the complexities, I just want that functionality. The example would be services like Kinesis Files, Kinesis Analytics, which is the abstraction layer we put on top. So for customers who are looking for simplicity, we also have these kind of capability for them. So I think at the end of the day, it's customer choice and demand. That's why we have this rich functionality and capabilities at AWS. >> So you guys have already solved that problem essentially, the one that I was sort of putting forth. >> So I won't say, I like Ray's answer. It's about listening to the customer. Cause in many cases if we would have, if we said, hey, we're going to go build a monolithic service that simplifies this, we would potentially disappoint many other customers. Say actually I really do want to have that low level control. >> Right. >> I'm used to having that. But when we hear customers asking for something which we can then translate to a service, we'll build a new service. And we will actually up level it and actually build a simpler abstraction for a targeted audience. So for us it's all about listening to the customers, build what they want, and if it means that we're going to actually bring two or three of our services together to work in concert for our customer, we'd do that in a heartbeat. >> Yeah that low level control also allows you to be presumably maybe not more agile but more responsive to the market demand. Because if you did build that monolithic service, you would essentially be locking yourselves in to a fossilized set of functions and services that you can't easily respond to market conditions. Is that a fair way to think about it? >> That is a fair statement, because basically our customers can look at these API's and together for these various services, realize how to use these API's in concert to get an end and done. And should we have precise feedback on a specific service, we can add a new API or tailor it over time. So it does give us a great deal of agility in working on these individual services. >> So Ray, you're a product guy and you're talking about listening to customers, right? And coming up with products, it's what you do. What are you hearing now? Where do people want to go now? Because I assume you've been in the market place for four years now with this, evolution is (clears throat), excuse me, perpetual, constant, so where do you want to take it? What's the next level or what's percolating in the back of your mind right now? >> Yeah, I think people always looking for different type of tools that they're familiar with or they want to use to analyze these data in real time and provide a differentiated customer experience. A concrete example I want to give is actually why we're here. At the Splunk Conference is at Kinesis we have a service called Kinesis Firehose. Based on customer demand when we launched Kinesis Streams, customers wanted to make sure they had access to data sooner than they used to do, but they want to use the tools they're familiar with. And apparently there's a diverse set of tools different customers want to use. We started with S3 for data lay, kind of storage, we used Reshift as a data warehouse. And overtime we heard from customers say, hey, we want you to use Splunk analyze the data. But we would like to use Kinesis Firehose and suggest a solution. Can you guys do something about it? So actually the two teams got together. We thought it's a strong customer value proposition, great capability for other customers. So we start this partnership. We're here actually earlier this day, today, we made the announcement actually, Kinesis Firehose is going to support Splunk as data of redestinations. And this integration is not in beta program. It's open for public sign up. Just go to the Kinesis Files website. You can sign up, get early access. So basically from today, you can use Kinesis Firehose in real time streaming (mumbles) service to get real data into your Splunk cluster. We're super excited about it. >> And okay, and I can access those Splunk services through the market place or what's the way in which I bring Splunk to? >> Good question. For this integration actually we're just a different version of Splunk. You can run Splunk on AWS using ECT extensions. You can access through the market place. You can have your, you can use native Splunk Cloud, which manage all the servers for you. You can also use Splunk on print in that regard. >> Okay. What have you guys learned since the orig, the first reinvent? I mean, I think, and again, I don't mean this as a pejorative but AWS is pretty dogmatic in its view of the world as you you are very strict (laughs) about your philosophy. But at the same time, as you learn about the enterprise, you've evolved. What have you learned about enterprise customers in that five, seven year journey of really getting intense with the enterprise? >> Yeah, that's a good question. But again, we're dogmatic about we always listen to our customers. We will never deviate from that. It's part of our culture. And the customers need to tell us where they want to go. And I'll tell you when we first started with Kinesis, just to answer your question, it was about low latency. We want to get that answer really fast, cause our ad tech customers are some of our very early customers, so it really was about that that extremely low latency response. As even our customers have started to look at Kinesis as a fundamental abstraction on which to put all of their business data in and now they're telling their customers well you should, if their IT customers within their company, if you want any business data, attach to the stream and pull it out. So now we're seeing less emphasis on low latency and to end processing, but increase request I want to be able to attach a dozen consumers, because this stream is actually supporting my entire enterprise. I want to have security. So we recently released encryption at rest. Our customers are asking for support for a VPC flow logs, which we hope to be talking with you about very soon. So now it's becoming actually very mainstream to actually, for the enterprise, and they want all the enterprise ready features, all the certifications, Fed Rep, Hippa, et cetera. So now we're actually seeing the Kinesis Stream itself being put into the enterprise as a fundamental building block for how they're going to run their business and how they're going to build their applications within the business. >> So that philosophy, I mean, you are customer driven first and there's a lot a, Andy Jassy says, there's a lot of ways to compete. You can be competitive oriented, but we're customer oriented. And I, it's clear, you guys do that. At the same time, customers sometimes don't know what they want, so you have to be good at decoding. >> Roger: Yes. >> If you listen to all your customers, you know, five years ago, they say, well we're not going to put any data in there. Sensitive data in the Cloud. Now everybody has sort of gotten over that. You said, alright, well we have to make it more secure. We have to get, you know, whatever certified, et cetera, et cetera. There's an art to this, listening to customers, isn't there? >> It gets back to one of our leadership principles of we always work customer backwards. We need to understand what they want, what experience they'd like to have. We have to anchor everything on that. But there is this element of invent and simplify. Because our customers may guess at what a solution is, but let's make sure we really understand what they want, what they need, the constraints under which that solution must offer. Then we go back to our engineering teams and other teams and we invent and simplify on their behalf. And we're not done there. We actually then bring these back to customers and in fact, why we're here today, we've spent two days talking to customers but even before this collaboration with Splunk began, we actually brought customers in and it turned out, their customers were often our customers. So we started talking, what is the problem? And we started with the very clear problem stain. And once both of our teams, we've loved working with Splunk, they work very customer backwards, like we do. And together once we understood this is the problem we are trying to address, and we had no preconception about how we're going to do it, but we worked backwards on what it would take to actually get that experience for our customers. And we're actually here beta testing it. And we're going to have a very aggressive two or three month beta test with customers, did we get it right? And we'll refine as well before we actually release it to the customer. So again, that working with the customer, work customer backwards. But invent and simplify on their behalf. Because many Splunk customers weren't aware of Firehose until we explained it to them as a potential solution. They're like ah, that will do it, thank you. >> So very outcome driven. I mean, I know you guys write press releases before you sometimes launch products. Sort of as you say, that's what you mean by working backwards, right? >> Roger: Yes, yes it is. It really is. >> Ray: You're good listeners. >> So far it's worked. (laughter) >> It's always fun at the company, when somebody says I have a customer, the entire room gets quiet and we all start listening. It's actually fun to see that, because that's the magic word. I have a customer and we all want to listen. What do they want? What are they challenged with? Cause that's where the innovation starts from which is exciting to be part of that. >> It's been a great formula, no doubt about that. >> It has, it has. >> Thank you both for being here. Didn't realize it was a big day. So congratulations >> Thank you. >> on your announcement as well. >> Absolutely. >> Ray, Roger, good to see you. >> It's great talking with you. >> Alright, you're watching theCUBE live here from Washington D.C. .conf2017. (techno music)
SUMMARY :
Brought to you by Splunk. coming to you live from our nation's capital. What's inspiring that popularity of the Cloud? and we got all the resource ready for you So very AWS like, we love AWS, we're a customer, In 2013, we got the preview of Kinesis. And the way we were doing it was in batch. And then we can get into the analytics discussion. Giving 'em the ability to get instant insights So who's using it? Cosmopolitan, Car and Driver, from print to digital form, is something that you guys have really lived managing the software on it, figuring our how to scale. So one of the values that AWS brings is simplification. And so the data pipeline gets increasingly complex. And we order a wide variety so that people can choose So you guys have already solved that problem essentially, that simplifies this, we would potentially disappoint And we will actually up level it Yeah that low level control also allows you to be And should we have precise feedback on a specific service, And coming up with products, it's what you do. hey, we want you to use Splunk analyze the data. You can have your, you can use native Splunk Cloud, What have you guys learned since the orig, And the customers need to tell us where they want to go. So that philosophy, I mean, you are customer driven first We have to get, you know, and we had no preconception about how we're going to do it, I mean, I know you guys write press releases before It really is. So far it's worked. the entire room gets quiet and we all start listening. Thank you both for being here. from Washington D.C. .conf2017.
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Brian Goldfarb, Splunk | Splunk .conf 2017
(techno music) >> Announcer: Live, from Washington, D.C., it's the Cube. Covering .conf2017 brought to you by Splunk. >> Well, welcome inside the Walter Washington Convention Center here. We're at Splunk .conf2017, Washington, D.C. the nation's capital rolling out its red carpet. For Splunk, first time ever the show's been here and certainly I know from the 7000 plus who are here, so far it's a big thumbs up. John Walls and Dave Velante, and we're joined as well by Brian Goldfarb, who is the Chief Marketing officer of Splunk. And Brian, good to see you this morning sir. >> Great to be here, thanks for having me. >> Yeah, I just, Dave and I were talking about the vibe here, it's always so positive right? Anytime you're around a Splunk event. But coming here, Washington, you've got great attendance I mean your take so far on what you're feeling and what you're seeing. >> It's been unbelievable, we're so blessed with customers and users that really love our products. And helping each other and bringing them all together creates an environment that's unlike anything I've ever seen in my entire career, and I've been in this industry for a long time, I've done a lot of shows. There's an electricity, the information sharing, the conversation, and you kind of see it everywhere you go. >> Well I mean you've, came from the biggest of all shows, right? With Sales Force but, whole different vibe here, I mean really intimate. I was saying off camera this is our seventh year with the Cube. And we were following Splunk, pre IPO. >> Brian: Right. >> Now you're a you know, 1.2 plus billion dollar company, so you have to change in a lot of ways, but you're trying to keep that culture of intimacy. How do you do that as a CMO and as an organization? >> I mean ultimately that's the biggest challenge, is when you grow from a show that's 500 people to a show that's over 7000, how do you keep the roots that, about what makes it great? And intimacy is exactly the right word. How do you capture that, how do you make that real? And for us, there's a couple things. You know, one is just information sharing. It's intimate when people are talking to other people about the great use cases and things they've done with our products. Because Splunk lets you do anything, and so, when customer A says, "Oh I used to, I do it this way." And customer B sees that, it's incredible and you see that through the sessions, we talked about this before. Like so much user generated content. The second thing is all these cool kind of off the beaten paths activities. We have a thing called Boss of the Sock, and Boss of the Knock, which are curated games effectively. Big massive multi-player games, where everyone gets in the room, it started yesterday evening at 7:30 pm, it wrapped just after midnight, and you walked in, and people were glued to their screens trying to win, it's capture the flag style. It was unbelievable. And things like that help us keep it intimate. >> Well there's a lot- there's a culture of fun too, I was saying, we were talking about in the open. You know the t-shirts, take the SH out of IT, (chuckles) Me-trics, getting rid of me-trics. I mean really a lot of fun going on people dropping ping-pong balls in the one that they like the best. >> Brian: Yeah! >> So you've maintained that flavor, which is fantastic. So, what do you see as sort of the next wave of Splunk? I mean, what should we as an audience be thinking about and watching for Splunk? >> I mean for me this is the best conf ever. This is our eighth one, it's the biggest one, it's the best one. We've been able to land so many great partners. We have 71 partners here, telling there stories. We have all the different customer sessions, we just completed the keynote, which I think was absolutely fantastic, the office space parody was I think, bring-the-house-down funny. And I think that's the beginning of the future, how do we take, all the wonderful things that we see our customers doing and bring them to light, and bring them to life, in more inspirational and more personal ways? I'll give you one really great example, we talked about GEN, the Global Emancipation Network. And they're working to help, you know, help human trafficking and human slavery as much as they possibly can, which is a very large problem, and we were able to work with them and help them through our Splunk for good efforts, to give them access to software, which has contributed to the work that they're doing. And we're just honored to have been a part of that, and they're here on site and they told their story in the keynote. And I can, there's example after example after example of the good we're doing for the world, in addition to the work we're doing for companies. And I think that's where we're moving forward. How do you keep those things in lock step so you're actually contributing to the betterment of our global society. At the same time making our user's lives better. >> You know I think, an example at least that really struck me when I was listening to the keynotes, we talked about the Boss of the Sock event, you talk about your community, and the spirit you're trying to create, and continue to perpetuate, was that, the winning team was thrown together right at the last minute. And these were people from different parts, different communities, different sectors if you will. And yet they bound together, they came up with a game plan, they win and so now you've created like a sub-culture as part of the greater community, but that seems to be kind of the embodiment of your philosophy is no boundaries, no limits and let's see how big we can make our tribe, if you will. >> I think tribe is another great word, community. You know, it's a skill set, you want a language you can communicate with each other. You learn how to use Splunk, and all of the sudden you have a common language and a common bond. And team "Last Minute," which won Boss of the Knock, you can't beat, you cannot plan for those kinds of things. People came together with a common understanding of how to accomplish a task, formed instantaneous comradery, and then were able to solve difficult problems. And if you bridge that to a conversation about business, we're all trying to solve problems. Technology they say is hard, we all know it's the culture and the people that's the most difficult thing to do and if we can be something that provides technology that helps drive culture change and people change, that's critical in transformation, and that's one of the things, and I've only been at Splunk 10 months, that I've seen we can do with our customers and that's pretty incredible. >> That's a key part of your messaging, I wanted to make an observation, when we followed Splunk early on, during the ascendancy of the so called big data memes, Splunk never really talked about big data you just sort of did it. You know you solve problems. Now big data is sort of passe, actually you guys talk about big data, it's very interesting to me, I wonder if you could talk about that a little bit. >> You know, lots of people like to throw buzz words. Industry terminology, we try really hard to avoid really getting into it like digital transformation being one, no don't ever say that. Because it doesn't help anyone. Right, at the end of the day you have to find the problems that our customers have, build solutions to help them solve that, and it turns out when big data was the hype, that wasn't the problem that customers have. But with the explosion in data over the last decade that continues to grow, we are actually now seeing true big data style problems. And that's why in the keynote we talked about scale, and how today's scale and tomorrow's scale is just table stakes, because you have to continue to grow to meet that. And so as the machine data company, really trying to make sure people get value out of this machine data, and turn those, that data into answers and get the insights they need to take action, that's the future. And with big data, because it's no longer buzzy, there's new buzz words we can avoid. >> Dave: It just is. >> It just is, everyone has a ton of data. >> I think the point you're making about digital transformation is interesting. We do over a hundred of these a year and every, the vast majority of digital transformation with no meat on the bone. And to us, a digital business is, is one that leverages it's data. So when you think about the evolution of Splunk, it's all about leveraging data and we're seeing, do you envision a Splunk where Splunk actually becomes that development platform for applications which has been the nirvana of so-called big data for years, it appears that Splunk is becoming just that. >> I think that's part of our long-term strategy, in that, the beginning of that already exists. Splunk base has over 1200 apps that extend the Splunk platform already, and those apps do anything from make it easier to ingest data from different data sources, to visualize data through interesting dash boards, to customized searches. A great example, ransomware, we talked about it in the keynote, super hot topic in the industry. Something that's affecting the world at large and something we want to make sure we're helping people deal with, we launched a new product called Splunk Insights for Ransomware, which is just an app built on top of Splunk, that gives you better dash boarding, better searching and better licensing for customers to get in, pay per user, get started really fast and solve that particular problem. And we see that as really really critical, as we evolve our strategy to address these transformative types of things, and the application ecosystem that comes with them. >> We saw this in the demos, another buzz word of course machine learning, but we saw an application of machine learning to dramatically learning to simplify the number of events I have to look through as a security professional and map those to you know, actual problems that I can solve. Again, another application, practical application of Splunk at play. >> Meat on the bone, you said it. So at the end of the day, this is a user conference, and our users use the product every day, and if we're not giving them real value, they're going to let us know. We put tons of energy into that. >> How about the ecosystem, the message to the ecosystem. What is the message to those guys, what are the sort of swim lanes you guys will develop applications versus their opportunities? >> I think that's emerging, I think we're still learning how to work with our ecosystem. We're so blessed with an amazing ecosystem, a huge community of participants. We talked about the Splunk trust. This core group of 42 people, we inducted 14 new ones today who really embody everything that is so great about our company and our customers and what they do for their constituents. And they are helping us think through you know, where can you build, how do you build and who should build, and getting that real time feedback. And all the partners that are here right, are adding value. And that's our goal, create the platform so that we can solve everyone's machine data challenges at scale so they can provide better answers and ultimately more value to their company. >> So getting a little personal then, you mentioned first show, >> First show. >> You coming into this, so you inherit this seven year machine right? Growing, expanding and so your perspective coming into that, what have you brought, you think or you're seen as an outsider who's now an insider, and maybe leverage the culture that was being created to take us to where we are here this year here in D.C.? >> One of the main reasons I came to Splunk, was my extremely positive impression of the product, and the brand, and the customer community around it. My entire history, at Microsoft and Google, Cloud Platform and Sales Force, was predicated on customers who love the products. You can't create that, right, you earn that through amazing work, and amazing technology. And being able to walk in here at Splunk and already have that, was the gift that really got me excited. And so you talk about coming in, and what you already have I got handed the best thing ever. Hundreds of thousands, millions of users that are excited about our product. And so what I wanted to bring was not a lot of change in the culture, it's more how do you maintain that intimacy, how do you keep the what makes Splunk, Splunk and then do that on a grander scale? And I think if you look at .conf this year, this embodies the vision that I've had with my team and with the company on how to bring .conf, I'm sorry, bring Splunk to life in a massive way. And this is, you know you can see around us, all the activity going on, it's pretty amazing. >> How about the choice of the district? You know, love the venue, love being in D.C. always, of course east-coast guys, your backyard. >> John: It's a home game for me, yeah love that. >> Brian: I'm 20 minutes away, I love it. >> But so obviously a lot of government clients, they you know, don't go to Vegas or can't go to Vegas, it's a strong community here, very advanced. Talk about that choice. >> Yeah, very thoughtful choice. We do a lot of business with the federal government. We do a lot of business with state and local officials. We do a lot of business with education and universities. And so we thought coming to D.C. was the perfect place to really embrace the public sector in America. But also an amazing venue, weather's cooperated for the most part, all the things you would want. And what we've seen with the program, is we've had more public sector attendance which is great to be able to give them more skills. The work we do with veterans, we talked about giving free training to our service men and women. And veterans service men and women which is super important to us as a company, that was a big honor to be able to do it here in D.C. Kind of a no-brainer for us, and also seeing how the rest of the community has come, it's a lot of west-coast American folks, we have people from 65 countries from all over the world that have all descended here, and it's been really really incredible. So it's been really good for us, and as we think through next venues and future years, I think there's a lot really exciting things to come. But being in D.C. is an honor for the company, and it's been great to see the turnout. >> Hey my last question, several years ago Gartner came up with the stats, said CMO was going to spend more than the CIO on technology. I don't know if that ever came to fruition but it was an interesting prediction. As a CMO, somebody who's obviously using data, for marketing, at a data company, what's the state of that what's your philosophy around data, the intersection of data and marketing? >> Yeah, I've read those Gartner articles too. The Chief Marketing Technology Officer, and you know my background is deeply technical, I was an engineer by training. And our CIO Deckland and I have an incredibly tight relationship, and I actually think that's the future. Marketing is data, and that's the big change that's happening in the marketing landscape. There's old-school marketing, advertising and things like that, that make sense and maybe be to see kind of opportunities. But if you're in a business to business universe, working with larger enterprises and governments like we are at Splunk, there's a new age of marketing that's evolved over the last decade that is predicated with operational data, that helps you make better decisions, invest more, make more personalized engagements. This doesn't have to be throw a big thing and hope someone sees it. I can engage with you and you in a personal and intimate way which aligns incredibly well with our culture and who we want to be. And so I agree it doesn't matter how you calculate the dollars or the spend or the budget, but technology is an enormous driver of modern marketing, and being at a data company makes it incredibly easy. I Splunk everything, we have dash boards, you come by my office and we have a wall of TVs with Splunk dash boards showing our social status, and we're using LinkedIn Elevate, and we see what's coming out of sales force data on sales and pipeline, all the different things so we have this real time, operational dash board that Splunk is giving us from the business side. >> I love that answer, it's not an either or with marketing and IT it's an and. >> It has to be. You just put such a sharp point on that pencil right now as you said with metrics you have all the data you need, continued success, we with you all that. >> Brian: Thank you. >> Good job getting the plane off the ground here today, and happy landing for the rest of the week. >> Brian: Thank you so much, it's an honor to be here. Thank you for joining us for your seventh year, look forward to your eighth. >> Dale: Alright, thanks for having us. >> Absolutely, thanks Brian. Brian Goldfarb, the CMO at Splunk. We're back with more here on the Cube from Washington D.C. at .conf2017, right after this. (techno music)
SUMMARY :
brought to you by Splunk. And Brian, good to see you this morning sir. the vibe here, it's always so positive right? the conversation, and you kind of see it everywhere you go. And we were following Splunk, pre IPO. so you have to change in a lot of ways, and Boss of the Knock, You know the t-shirts, take the SH out of IT, So, what do you see as and bring them to life, in more inspirational and the spirit you're trying to create, that's the most difficult thing to do to me, I wonder if you could talk about that a little bit. Right, at the end of the day you have to find and we're seeing, do you envision a Splunk and the application ecosystem that comes with them. the number of events I have to look through Meat on the bone, you said it. How about the ecosystem, the message to the ecosystem. And that's our goal, create the platform and maybe leverage the culture that was being created One of the main reasons I came to Splunk, How about the choice of the district? they you know, don't go to Vegas or can't go to Vegas, all the things you would want. I don't know if that ever came to fruition I can engage with you and you in a personal and intimate way I love that answer, it's not an either or continued success, we with you all that. and happy landing for the rest of the week. Brian: Thank you so much, it's an honor to be here. Brian Goldfarb, the CMO at Splunk.
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Michael Ibbitson, Dubai Airports | Splunk .conf2017
>> Announcer: Live, from Washington, DC, it's theCUBE. Covering .cof2017. Brought to you by Splunk. (upbeat techno music) >> Welcome back to the nation's capital, theCUBE coming to you here from the Walter Washington Convention Center at .conf2017, Splunk's annual get-together, along with Dave Vellante, I'm John Walls. Good to have you with us here on theCUBE and how's your flying experience these days here in the States? Baggage, security, you happy? Well we're going to make you a little less... (laughs) Dubai Airports has just an exceptional network of operations that are going on right now, from soup to nuts and Michael Ibbitson is the VP of Technology and Infrastructure at Dubai. He joins us now here on theCUBE, and Michael, first off, glad to have you here in the States. >> Thank you. Good to be here. >> Good to see you, sir. You ran through on the key note stage a litany of checks that we all go through here in the States of, yes we'd love... better security, better baggage, even the golden bathroom, which I can't wait to hear about. But tell me about your focus with technology and Dubai, and what you're bringing to the job and how you're trying to revolutionize the travel experience. >> Yeah so, in Dubai we're really, really pushing the envelope in terms of volume, numbers of people going through the airport, but also we want to make it the best passenger experience we possibly can. We're already the biggest international airport in the world, going to be doing nearly 90 million passengers this year, growing to 100 million by the end of the decade, but we want to drive experience as well. And the airport is constrained, so we've got a limited site, so we now have to figure out how to do it to greater efficiency, automation, making the passenger experience better. You can get much better throughput in an airport if you take out all the queues. So that's a better experience. So you get both at the same time. >> Well, tell us about the security lines then, because Dave and I both relate to this here in the States. Sometimes they can be tedious to work through. So how are you addressing that through technology. >> Well, through lots of different ways. I mean, we put sensors all over the airport for lots of different things, and one of the key areas we've done it is in security. So we have some sensors that measure the queue length for us, which is really important. It allows us to understand what's happening now, in real time, deploy additional staff to support that, but also predicts what's happening over the next few hours, so we can be ready for whatever's coming next. On top of that, we then take data out of the lane itself, in real time, so we can see how many people are passing through, how many alarms they're setting off, and then we can use that data over time to understand the behavior of passengers. Certain destinations drive more security alarms, so we can now understand that and then try and pre-inform those passengers about what to do so everybody gets through faster. >> So kind of, like a way, is in reverse for the security line. >> Yeah, exactly. >> Love it, that's great. >> So, you mentioned the golden bathroom, I got to ask you-- (laughter) We saw some data that only 10 percent of the people admit that they don't wash their hands when they leave the bathroom, but your data suggests its 25 percent of the people do not. I wonder if part of that reason is the reason that I often get frustrated is, when you put your hands underneath, nothing comes out. (laughter) >> John: You're waving underneath, right? >> In modern Dubai, airport bathrooms must actually give me water when I ask for it, is that right? >> Yeah, well, we like to think we've got pretty efficiently working bathrooms, that's for sure, but I think the challenge with the bathroom one, we wanted to understand how to make bathrooms cleaner and a nicer environment for everybody, and when you're doing 90 million passengers a year, that's a lot of people going to the bathroom. We put sensors all over the bathrooms, not CCTV, want to make sure that's clear. It's all like presence sensors, door lock sensors, when the faucets are on or off, people stood at basins, and that's just given us so much insight into how people actually use the bathroom. So we know that at peak hours, the number are quite low in terms of people who wash their hands after using the bathroom, but off-peak when it's quiet, the number goes right up to 100 percent. So, we think we've got some work to do on capacity, and understanding how people use the bathroom, and also maybe on the cleanliness. Maybe people are leaving because it's the lesser of two evils. Do I wash my hands, which doesn't look like a nice environment to wash my hands, or do I just walk out? >> So, some of the stats. 90 million passengers a year go through your airport and that'll be 100 million, over 100 million by 2020, is that right? >> Michael: On the current growth, yeah. >> And then 150 million bags, you handle, each year. >> Michael: That's correct. >> So there's a lot of data that you're collecting. So hence we're here at .conf. How do you use Splunk to sort of manage all this data? >> So we have two Splunk instances. We have one that does all of our IT stuff, and then we have one that's focused on all the business services, operations, if you like. And it's the business one that is kind of the most interesting because it drives the most debate and discussions about the future, and how we should plan the airport, and how we should drive performance. We have about four and a half billion data points in our Splunk, in our business Splunk instance, and it grows by somewhere around 12 to 14 million data points a day. Just baggage alone, every bag generates about 200 data points. Now, people don't probably think that from the outside, when you put the bag in, you drop the bag at the check-in desk and then you don't see it again til you to the other end, but there's so many check points that it passes, security screening that it goes through. It gets transferred in terms of jurisdiction between airline, airport, ground handler, and then it gets loaded onto the aircraft. All of these things, we create data points for all of those. So we can track it through your whole journey. I think these are fantastic opportunities for us to start thinking about how we might share that data the consumer in the future. We'd like to get to a point where your bag journey is just as well-informed as your own journey. >> Yeah, so, a little bit more on that then, I mean, just in terms of what your real life experience, what you hope it will be, in terms of your baggage, You were talking about taking down baggage arrival to a matter of seconds? >> Yeah so, you as a passenger, you arrive at the airport. You've got a process to go through before you're going to get reunited with your baggage, and that might be 10 minutes or 30 minutes, depending on the size and the nature of the airport that you arrive at. But as we know now, based on the data we have in Splunk, and we've been analyzing this data over the last four or five months, we know exactly how long it takes to get a bag from any aircraft stand to any point where you pick it up. And we can average that over a serious period of time. So if we can do that historically, we can start to predict that into the future. Based on the current conditions of the airport, we should be able to give you and exact time that your bag's going to arrive on that carousel. Maybe it will be down to a few seconds, maybe it'll be in the next 30 seconds your bag will arrive, type of message, but we want to give you that message to your phone. >> Think how nice that would be, Dave, if you're waiting at the baggage carousel, with another 150 of your best friends, and everybody's crowding around, watching for their bag to come out, but you know your bags about to come out in 20 seconds. >> Well, I always say it's one of my pet peeves everybody crowds around, and you can't see. Take three steps back and we'll all be better off. I wanted to ask you Michael, though, as a consumer of airline products and services, there seems to be a difference between the airport and the airline in terms of their data. You have a lot of data, the airlines obviously have a lot of data. Of course, they're competitive with each other. What kind of collaboration do you have with the airline, what kind of data do you share? >> So, I mean it really depends on the nature of your airport. Are you a hub for a big carrier, or do you have lots of small airlines all operating there, to how you might go about doing that. In both the airports that I've worked at recently, we've run projects to integrate the airline data into our systems. Cause we're just so much more well informed about what's happening and what's going to happen in the future when we do that. We spent the last couple of years working with Emirates, who's our biggest airline, to integrate their data, but we also have FlyDubai, who've got a huge flying program with us as well, and integrate their data so that we can start to combine the two data sets. And we do that within Splunk, so we know what's going on. The baggage data that I talked about, the 200 data points, I mean that comes from three different entities in reality. It's the airline at check-in, and the passengers data about their booking and everything else, the baggage system itself, and the security process it goes through, which is our data, and then the ground handler, which again is another set of data, because that bag then onto the aircraft, and inform the airline of where it is. And then that all gets combined back again at the point where you board the aircraft to make sure that that passenger and the bag are all on the same flight. So we've been pulling all that data into our systems and then sharing that back across the teams, to provide people with a lot more insight. So the airline wants to know the bags are going through successfully, the ground handler wants to know how many more they've got to come. So by sharing that data through a platform like Splunk, we're hopefully making a lot of breakthroughs. >> I think that's huge, because the mobile app is a game changer for an airline passenger. But the diversity of mobile apps, and the quality of the mobile apps is the function of the data model that each airline and their back-end processes, and you can tell some of the airlines that have sort of antiquated back-end processes, and those that don't have as much baggage, right? No pun intended. And so, my question is, with tools like Splunk and some innovation on your end, are you able to sort of unify those disparities? >> Yeah, and you've also got to remember something about the passenger, right? No passenger comes to an airport for an airport tour. They're coming because their going to fly somewhere, right? (laughs) And this is important. So they book a ticket to an airline, we might be able to integrate that data from all these different organizations at the airport, but who are you as the passenger really going to get that information from at the last moment? Probably from the airline because you're going to use their app, because you bought your ticket through it, and you're going to check in through it, and you maybe have a car service booked through it. So we would rather... we could be the combiner of that data, but then pass it back to the airline to display to you as the passenger, cause that makes more sense. But what's important for the passenger is that data is consistent at every point in the journey, whether you find it out from the airport, or whether you find it out from the airline, you want it to be the same. You don't want conflicting information. So that's what we can do by deciding to join these things together, but make sure that the consumer interface is the right one for the right time. Now that wouldn't work for us with Emirates because they're so huge and they have so many passengers for us, but for some of the smaller airlines, like British Airways, Virgin Atlantic, you know they have two, three flights a day with us, it might make more sense for their passengers to use our app in that situation. So it really depends who you are and what you're flying for, but we see that there's opportunity across that space, but what would be important is that every app tells the same story and has the same data >> John: It's like uniformity, right? >> Yeah, because that gives you so much confidence as a customer if that flight screen changes at the same time that your app pushes a notification to you, and it's exactly the same data, that's a huge amount of confidence that this is all really accurate and timely, and then you get to make decisions off that. >> I was struck by the comment that you guys are out of space and I think the way you phrase it is the city grew up around the airport. You'd think Dubai, I have not been, but you'd think Dubai, planning ahead, has lots of resources, but they're subject to the whims of metropolitan growth. Your challenge then is to use efficiency to squeeze more out of that fixed space. What are you doing in that regard? I mean that's a major CIO challenge. How do you deal with that? >> Yeah, I have to admit, that was the challenge that attracted me to the role, like how do you take this airport... when I joined it was about 78 million, couple of years back, and now pushing 90, pushing 100 by the end of the decade. That was the challenge for me, and that was the focus of the CEO, he said the only way we're going to grow this business is to figure out how to do more people, or more planes, through the same space. And that's really exciting, and the only way to do that is looking cutting out the waste wherever you can. Redefining the processes in areas, and removing all of the queues and all of the bottlenecks in the airport, whether that be in the airspace, on the airfield, in the terminal buildings for the passengers, in the baggage area for the bags. You've got to remove all those bottlenecks and I think, as a passenger, queuing up just wastes time and space. If we can make sure nobody ever queues, then everybody will get through the airport faster, which means we can do more people. We can take more people through the airport. So that's really the focus, and we have an internal project that we call queue-busting and it's literally just about busting the queues, busting the lines, as you call them here, and getting rid of them, because they're the thing that creates the capacity constraint-- >> Yeah, you talk about all these sensors you have around the airport, you talk about all the data that you're gathering, billions and billions of data points, so what don't you know that wish you did, or that you hope you can, relatively soon? >> I mean one of the things, so we know, like, the queuing time, all the major touch points, and that's been fantastic and we've, in our transfer security areas, in the last two years, we've lowered transfer security queuing from over eight minutes to an average of four minutes and 47 seconds, so we're really precise on this stuff now, it's great. But what we don't know is, the people's entire journey. So, we know that you queued in a certain place for four minutes, and you might queued up at check-in for maybe 10 minutes as well, but what we don't know is how long it took you to get between those points, which route you took, what's the most efficient, how to get you to spend more money in the airport because we... that's our business model, right? So that is where we need to learn a lot more, and I think there's a lot of work going on in that space, and we're doing some trials on some cool technology to figure out how to help you find your journey, make the most efficient overall journey through the airport, not just at the key check points. And obviously give you more time to enjoy the experience, we have shops and restaurants, we've got spas and swimming pools and hotels inside our airport, which we'd love for people to use more of, and I think we can do that if we can help them plan their journey better, so, I think there's still a lot of data out there. >> Well and, when you look at your strategic planning road map, how much runway do you have? I mean, you're using efficiency to utilize your space better, drive more revenue, customer satisfaction, avoiding the huge cutbacks of building another airport, which is not going to be as convenient. How much, again no pun intended, how much runway do you have in terms of that strategic plan? >> Well based on our current expectations, predictions that we have, we're looking at this site being able to do about 120 million, maybe we can squeeze a bit more out of it, >> Decade, plus? >> Yeah, I mean there's lots of exciting things we might have to do with the airfield to try and land more planes. We do about 65 flights an hour, off our two runways. We don't have the luxury of really wide-space runways, so we may have to come with some new ideas on that front. But about 120 million we think, which would be easily the biggest airport in the world. It's helped by the enormous fleet of A380s that Emirates uses. Of course we get a lot more passengers for every flight. But that's probably about as far as we can go. But the airport was designed for 90 to 95 million, so we're already going to bust that by about 30 million. So yeah, hopefully we can extract that, and then you never know what we might be able to do. >> Great, great story. >> Hopefully go further. >> Well it's fascinating, it really was. Great job on the key note stage today and certainly wish you continued success down the road here, I think we've run out of puns. (laughter) So, I'll leave it at that, but safe travels, if you will, home, and thanks for being with us here on theCUBE. >> Michael: Thanks very much. >> Michael Ibbitson from Dubai airports. Back with more from theCUBE here in just a bit. Washington, DC coming to you live. Back with more in a bit. (upbeat techno music)
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Brought to you by Splunk. and Michael Ibbitson is the VP of Technology Good to be here. even the golden bathroom, which I can't wait to hear about. the best passenger experience we possibly can. So how are you addressing that through technology. and then we can use that data over time We saw some data that only 10 percent of the people admit and also maybe on the cleanliness. So, some of the stats. How do you use Splunk to sort of manage all this data? from the outside, when you put the bag in, but we want to give you that message to your phone. but you know your bags about to come out in 20 seconds. You have a lot of data, the airlines obviously at the point where you board the aircraft and the quality of the mobile apps to display to you as the passenger, and it's exactly the same data, and I think the way you phrase it is the city grew up around So that's really the focus, and we have an internal project I mean one of the things, so we know, like, Well and, when you look at your strategic planning and then you never know what we might be able to do. and certainly wish you continued success down the road here, coming to you live.
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John Galvin, Intel - AWS Public Sector Summit 2017 - #AWSPSSummit #theCUBE
>> Live from Washington, D.C., it's theCUBE, covering AWS Public Sector Summit, 2017. Brought to you by Amazon web services and it's partner, Ecosystem. >> And welcome to our nation's capitol. Here we are in Washington, D.C. TheCUBE coming live from the Walter Washington Convention Center, here for AWS Private Sector Summit. It's our maiden voyage with the Public Sector so looking forward to this. John Walsh and John Furrier, glad to have you along for the ride, John, this is going to be a good week. >> Hey, it'll be fun. >> A good couple of days. John Galvin joins us. He is the Vice President and General Manager of the Public Sector Intel. John, thank you for being with us here on theCUBE; glad to have you. >> It's a pleasure to be here, thank you. >> Tell us a little bit first off, about your portfolio. >> Sure. >> I understand you cover not only United States, but you have a global footprint as well. Touch base a little bit with our audience with what you're up to. >> Yeah, absolutely. So first of all, I have to put it in perspective for everyone. People know us as a micro-processor company. They don't always attribute us to going out and calling on government, or education decision makers. So we really act as a trusted advisor. We don't sell directly to government or to education entities, and I have sales people, or account exec's, around the world who are going in and meeting with ministers of education or ministers of ICT. Sometimes it's a school superintendent or a district superintendent, but, overall, what we're talking about is digital transformation and how technology can be used to advance government or advance education. And sometimes at a national level, could be at a state level, could be at a district level. >> Well, John and I were talking in our open segment just a little bit ago, about maybe a glacial pace isn't fair to say about how government had that reputation, obviously, for many years about being, maybe, reluctant. >> Right. >> To embrace change. What do you see now in that space? Is there this shift going on, that there's more of an embracing of technology? And of more entrepreneurial kind of spirit within the operation of government? >> Yeah, absolutely. It is happening so quickly. The categorization of government moving slowly is absolutely true. Education the same. But now wherever I go around the world, everyone is talking about transformation and they're starting to launch projects that might be a pilot or a proof of concept, but they're getting started. The challenge is when you talk about digital transformation it is so big so it becomes difficult for governments to really get their hands around it, and what are they going to do to improve citizens quality of life. Is that going to be a healthcare initiative? Is it going to be a transportation initiative? Sometimes it's an education initiative; and we're seeing them all. I think what is causing it to advance now is they see proof-points that it works. That by making those investments it really is changing the quality of life for people. And in emerging markets they don't have existing infrastructure that they have to tear out and replace. And some of the mature markets, it's how do you actually breakdown those silos. >> Well, John, I'm really glad you came on. Intel, in my opinion, I've been following Intel for many years, recently, has been pretty amazing. But you guys have always been a bellwether for trends, I'd say, five to 10 years out. I mean, look at everything that Intel's done with technology You have that five to 10 year stair instantly in what you're proposing. We've been seeing a lot of the AI commercials with Intel, what is the Public Sector trends that intersect with the vision of Intel? >> Well, you're absolutely right. If you look at what Intel does we're similar to the auto industry. It takes us five to six years to produce our next processor, and so we have to be looking that far out of what are the use cases, and really, what are those technological boundaries that we're going to either cross or break? And AI is absolutely the conversation today. It's sort of around artificial intelligence and it's no longer science fiction. We're not talking about it in the future; we're now talking about how can we use it today? Machine learning big, big topic, and not just the role that Intel plays, but companies like AWS; big players, in terms of how that actually comes to life in your home. It's not just how it's going to come to life in a big government institution or a big enterprise. >> And the Public Sector landscape, for the folks that are watching some know the Public Sector, what is the Public Sector? Because it's not the government. There's education, there's health, so what's the layout. How do you categorically look at it? How should people think about Public Sector? Not just GovCloud because there's a GovCloud, but is there a Public Sector cloud? I mean, how should people think about it? >> Yeah, great question. I work as part of a group at Intel that are all verticals. There's a healthcare team, there's a transportation team, there's an energy team. Public Sector is completely different because we're all of those things. We're working on transportation projects, we're working big healthcare projects, and so Public Sector you have to look at in the biggest sense where it's not just a federal presence but it is a state presence, it's a city presence or a county presence. And so our opportunity is to be able to connect all of those things, and that is what I think is so exciting about the transformation that is taking place right now is for that vision to be realized those silos really need to be broken. You know, you're going to hear comments over the next couple of days about forming a data lake. Which is bringing in all of those data streams into a single spot so that you can apply analytics and be able to get to insights that we've never been able to get to before. >> So how do you do that if you talk about municipality levels, state levels, federal levels, different operating systems, different processes, different procedures? And all great resources, how do you pull all that together and make that an asset instead of a morass? >> Well, in that question you just captured how big this opportunity is, and the way that we do it is we work with our ecosystem partners. The strength that Intel has when we enter into those conversations is we work with everyone. We work with the big cloud providers, we work with all the different operating system providers. We're not only with the computer companies that are our partners and our customers, but we're working now with internet and think companies, and so we have the ability to now work across that ecosystem to start pulling all of those pieces together. The heart of your question though is that those are all different systems that have been built over time. And if you look at what's been happening in enterprise over the past 10 years is CIO's and CTO's at the enterprise levels have been breaking down those silos and moving more to single systems and big data streams. And now that's what's happening with in the Public Sector is that data has to come together. >> John, talk about the collaboration between Intel and AWS and what is going on with you guys, how you guys are working together, and what's the impact in serving Public Sector customers? >> Well, we have had a great partnership with AWS from the beginning. (audio cuts out) (audio cuts out) That's going to take on this bigger vision is going to have a cloud discussion. There will still be things that they're going to be doing on premise, but it's most likely going to be a hybrid environment. And so with AWS we really have the opportunity to have a bigger discussion, where they can really have that cloud discussion and even some of the analytics layer. They're also doing more at an IOT perspective; we're able to join that conversation in terms of how our technology really plays into it. But I think the other thing we're able to do with AWS is really look for innovators. We're able to identify either those small companies, or even some of the cities are doing some really great things. And then because of their global footprint and our global footprint we can share that pretty broadly. >> And ecosystem's critical. You guys, Intel's always been ecosystem friendly company. With that in mind I got to ask you the question that everyone's talking about, and certainly, we're covering Mobile World Congress this year in Barcelona. And you couldn't go anywhere without hearing 5G and these new phones that are coming out. And then under the hood network transformation, you're hearing about software to find networking, machine learning, AI a lot of things that you guys are talking about. So the question for you is Smart Cities. It is a really, really hot opportunity just to even think about the concept of what a Smart City entails. I mean, here in D.C., like other cities, they have bicycles people can take out and ride around. That's a smart city, that's a cool service. But now you bring digital all to it. Imagine, Air B&B, you've got Uber, you've got Lift you've got all kinds of digital services, digital experiences. This is a government, this is a Public Sector issue. This is an interesting one. How is Intel's view on Smart Cities, how do you see that rolling out? >> First of all, we're very excited about what's happening within Smart Cities, and to the beginning of your question we think 5G is going to be an accelerant. It's going to cause it to happen even faster than it's happening now. What's interesting about Smart City is that it really does take a lot of different formats. And so we see cities who are really focused on public security and safety. We have examples whether it's Singapore, London of how they're now capturing new data with the cameras that they put up, and can do real-time analytics on it using AI and machine learning. So it's not that they just have all of these data streams, but they're doing real-time analysis of the data stream to be able to identify potential threats. But we also have examples where we're seeing cities invest in new technology to, essentially, replace what are the old ways of us being able to communicate and engage with the government. And that could be as simple as there's new information that's available to us. Or as they're collecting all these data streams they're making that data public and available for innovation, and so entrepreneurs now have the ability to also build solutions on those data streams. It's an incredibly exciting time. >> I mean, it's mind boggling to just think about how we live our lives in our cities. I can call the police department, the fire department, call for services in the analog world. Imagine video chat. Is that going to go to the certain departments? So how people engage, which side of the street do the cars drive on, who decides all that? And this is kind of how big this is. It's mind blowing. >> Well, it is big, and I'm going to answer that in two ways. Yes, the way that we did things before is changing and it's changing rapidly. To your 911 reference, I don't know, does it have to be a video engagement? Or through video are we actually capturing real-time that there's an incident that the fire department or an ambulance or police need to be dispatched. Where no phone call actually needs to be made. >> Real-time analytics. >> Yeah. >> Predicted, prescriptive analytics could come to the table. >> Yeah, absolutely. And so we're already seeing examples of that, where that's happening today. What we're not seeing happening at scale, but I think we will see it happening at scale, all of those early adopters they had to figure it out on their own. But now we have blueprints, we have frameworks that we can share with other cities where they will be able to do it much more quickly. >> All right, what project really stands out for you, in all the things you're looking at, in the Public Sector because there's so much going on that you guys are doing I mean, props to Intel love what they're doing. The AI mission really puts a vision in place but also it's reality now with machine learning. What projects stand out for you that you see as real innovative, collaborative between Intel and AWS? >> Yeah, so we did a project with AWS where we, essentially, created a competition for new ideas to be able to come forward, and out of that what we've seen is some cities really doing some innovative things, just taking those first steps. What that does for us is it gives us a broader view than we would be able to get on our own. But some of that's basic. Say exciting stuff, we have exciting examples, the kiosks on the street corners in New York are an exciting example. What we see some of the universities doing, I think, is really exciting. Universities around the world have an issue with student retention. Where they just experience high drop out rates at the end of the freshman year and the end of the sophomore year. The challenge is how do you identify a student at risk? Well, automate attendance and you can now see are students actually attending classes. Or are they skipping class? Start using sensors and beacons on the campus and you can actually detect what those student patterns are and you just might need to have a counselor step in or a professor step in and really sit down with them and walk them through it. >> Use the IOT example, humans are things too, right? I mean, wearables, they got all kinds of sensors that could be even on-person device too. Absolutely, we have been working with the University of Texas Arlington, exactly, on that project. Through a sensor you can actually capture the emotional state of student. Are they highly stressed? And should that be, again, an environment where-- >> Explain how. How does that work? >> Through body temperature and -- >> So biometrics being measured. >> Yeah. >> Body temperature, respiration rates, all those kinds of things. >> Mental health is a huge issue in colleges and universities around the pressure. >> You can see that idea from a health perspective, strep throat, right? >> Sure. >> It's like the freshman plague. Every freshman gets strep throat. But if you could identify anxiety as it's being formulated before it manifests itself in academic performance, you could treat that. >> Sure, and now you combine that with capturing data from the student cafeteria or dorms of what are they're eating patterns, what are they're sleeping patterns? Are they actually getting enough sleep? So you get a much more holistic view of the student. And we have to be careful here, right, because-- >> There's privacy concerns. >> Right, there's absolutely privacy and security concerns. And anyone who engages in these projects, heightened awareness of that. So it really is about quality of life and how do you create a better educational experience, not create anything that's threatening, but it becomes a much more personalized learning experience. >> The convergence and the conflicts between IOT and cloud and processing power and software, it's interesting, I was looking on prior to the show coming in I saw on your website at Intel Farmers in America. And then on Amazon's site there's a City on the Cloud. Can you take a minute and explain those projects. I think they're both Intel and AWS collaborations. Can you just take a minute to explain the City on the Cloud and the Farmers of America, what's the big aha there? >> So it's a three year project that we've been working on in collaboration with AWS, and the whole idea was for us to be able to identify some innovative ideas within the space because it is still a new area. How do we, essentially, give some of these entrepreneurs and innovative people a chance to be able to bring their idea into fruition? And so agriculture and Farmers America's a great example because that data is being collected in terms of weather patterns and how they can now, essentially, access that data to be able to plan differently what they're doing as well as better enable them to share with others what they're finding as they're making changes too. >> The farm tech has been hot on the D.C. community, certainly, in the Silicon Valley seeing people doing farm tech. Farm tech is one of those things, agriculture's a huge area that health implications too. People are interested in automating a lot of things and bringing tech there. And then also healthcare is a factor too. One of the areas is education but healthcare is another one that you guys are, what's the new thing in there that you guys are doing in healthcare? >> Yeah, we're doing quite a bit in healthcare around the world, and if you really think about it the challenge with healthcare is that your records are typically with your doctor or with your hospital. They're not always shared and they don't move with you when you travel. And so the first opportunity is how does that data actually become standardized so that it can actually be shared. But the other opportunity in healthcare is for those CTO's and CIO's to start using data very differently, to understand the patterns of what's happening within their hospitals. And you're earlier reference, John, to strep throat within a campus, how do you, essentially, start tracking that there's a trend and that there's something that you could potentially deal with much more quickly once you have the insights to it. >> All right, so take a minute as end this segment here, I want to get your thoughts on, give us a taste and showcase some of the Intel speeds and feeds, some of the tech, what's under the hood, what's coming out of Intel that's powering all of this because remember we're all driving the self-driving digital tooling out there. It's all powered by the Zeons, all kinds of cool stuff. What's the latest state-of-the-art that you got from Intel that you guys are bringing to the market in the Public Sector? >> Yeah, well, thank you for that question. I don't normally get it. >> John loves it. He's a speed and feed guy. >> To get too much feedback. Too geeky. >> Well, your earlier question was around AI and machine learning and for us that's the zonify. And if you look at the power of zonify it's, essentially, three times the teraflops of the largest super computer that existed 20 years ago, in a single processor. And so for us it's an opportunity to then really be able to advance and accelerate what's happening with artificial intelligence as well as machine learning. >> Well, it's an exciting new world. Obviously with a realm that goes healthcare to ag, to education, to government with Intel very much at the center of that. John, thanks for being with us. >> It was great to be here. >> We appreciate the time on theCUBE. We look forward to having you back. We'll continue our coverage live here from the AWS Public Sector Summit here on theCUBE. Back with more in just a bit. (upbeat music)
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John Stephenson, Amazon - AWS Public Sector Summit 2017
>> Announcer: Live from the Washington D.C. It's the CUBE covering AWS Public Sector Summit 2017. Brought to you be Amazon Web Services and it's partner Ecosystem. >> Welcome back here on the CUBE as we continue our coverage of the AWS Public Sector Summit 2017. Along with John Furrier, I'm John Walls we're in the Walter E. Washington Convention Center. For the sixth show, of almost 10,000 attending. somewhere in that ball park. It's come along way in a very short period of time. AWS has a lot to feel good about. >> It's a good reinvent for Public Sector. It's huge. >> And not just to think about government. We think about education as well. We had a couple of segments about that. We are going to talk about government with our next guest. If we get a name wrong on this segment shame on us, John Stephenson with John Walls and John Furrier. John's a senior manage at Public Policy at AWS. John nice to have you with us we appreciate that. >> Thank you for having me. >> Thank you for your time. So your focus primarily state and local governments. What exactly as the conduit do you want to bring to their table from of AWS? >> Well I'm Senior Manager, of Public Policy for Amazon Web Services in the Eastern United States. I handle state and local government relations in the Eastern U.S. from Texas to Main and then South Florida. I help our business and also our partners in government to understand how public policy can enable cloud and modern technologies. It's a very exciting place to be because there's a lot going on in state and local government when it comes to IT modernization and cloud right now. >> I think about government too. There's that big umbrella we can put on (mumbles). It's public service. But federal government has a place and state and local. I think much more responsive, much more grass roots. So those applications are much more immediate. I would think. Does that come into play with you? That you need to be a little more nimble. Or you're helping your clients to be a litter more nimble or more agile? >> Absolutely, if you look at what state and local governments are doing. Essential services from delivering health care to taking out the trash, providing public safety, providing education it's handled at the state and local government. If you look at the number of times you touch government. It is state and local. Think about renewing a driver license. Think about paying a parking ticket. Think about getting a zoning permit for remodeling of your house. You're dealing with state and local government. The demands on state and local government are also higher. They're holding more data on citizens than the Federal government. They are undergoing massive population changes. It's either positive or negative. State and local governments which have budget constraints. Need to be more nimble, more innovative. They are natural early adopters and first movers of technology. If you look at some of the more exciting things about technology that are happening in the government space. I think it's happening at state and local government in the U.S. >> Smart cities by the way is the hottest trend. Intel one of the key sponsors of this show. We had two folks on here. AI is going to be a real nice gateway for some of these innovations on their side. They have 5G opportunities. They have transformation. Lot of technology going on under the covers, under the hood if you will. One of them is smart cities and that is something that is just mind blowing. Just from a technology stand point but even more mind blowing from a policy perspective. Who sets the rules? What side does the car run on? What digital services are the citizens going to get? Who pays for them? What does the government do? What does the private sector do? These are issues that need to be grappled with. Your thoughts on how you guys look at that? And how are your constituents engaging with that and thinking about it? >> I'm glad you mentioned smart cities because there's a lot of activity going on in that space. If you look at the internet of things technologies alone. One of the enablers of smart cities. As many as 53% of state and local government according to NASCIO are looking at these technologies or deploying them. It's great to see that because that will enable a lot of potential from smarter government services, better government services, improving service delivery and improving constituent fulfillment. Which resonates with us, as part of Amazon. We're all about our customer fulfillment and delighting our customer. >> Lower prices and ship things faster that's Bezos' ethos. That's Amazon's culture. >> Exactly. >> And you could deliver services any digital service. >> Everything we do starts with the customer and we work backwards. In the conversations I've had with policy makers in the state and local governments. They see smart cities as a way to do that. Everything from improving transportation in places like Columbus, Ohio. To improving connectivity and engagement with the internet in places Kansas City, Missouri. And new ways of delivering services in places like New York and Los Angeles. It's very exciting stuff. Policy makers are coming to us and others in the industry. What are the policies? What are the best practices that can enable these technologies? We've been working with them. Providing information on what we're seeing around the world. How open data can be made (mumbles). How security and compliance can be built into applications. And we're happy to provide that because we know from working in the cloud ourselves. The potential that's there for state and local government. >> You want to foster innovation but at the same time you don't want to create this restrictive environment. Or have legacy be the baggage that holds things back. In fact you look at some of the best smart cities implementation. It's Singapore. It's Dubai. It's areas all over the world. In some cases it didn't have real strong infrastructure. So now come back to your role. As you look at the U.S. which has great infrastructure. Except for broadband connectivity, we'd be faster. They have some pre-existing conditions. They're under pressure. The cloud is a prefect vehicle for them. Because they can come in with their existing stuff. Get apps and services online quicker. How are you dealing with the challenge of? OK, calm down we're not going to take over the world. No, skynet's not coming. You know terminator reference. That's a concern, privacy. Lot of in policy issues, to be dealt with. How do you handle those? >> I think with any policy issue. I've been in public policy for a while now. It really starts with education. Understanding in really simple layman's terms. What the cloud is. And what it is not. It is a very transformative technology. It is not an end all one size fits all technology. What we've done is help educate policy makers by understanding the potential of cloud. What it can do in terms of cost savings, improved security, and being more agile. And to tell that story, we don't use PowerPoints at Amazon. We're not coming in and giving PowerPoint presentations. >> Good ole flesh pounding, hand shakes, and hit the streets. >> We'll more importantly it's sharing the customer's stories We're talking with them about what's happening at the New York City Department of Transportation. We're talking with them about what's happening at the city of Los Angeles with their emergency operation center. About how cities are using cloud technologies to deliver far superior products and services faster. >> So what is New York doing and what is L.A. doing specifically? >> New York city they have their iRide application to help citizens get from one point to the other much more quickly and safely as part of their Vision Zero campaign. Anyone who's been in New York, and I've been in New York quite a few times. Knows that traffic and be a real pain getting from part of Manhattan to the other. So what iRide does, is it helps people navigate Manhattan and the other boroughs much more quickly and efficiently using all the modes of transportation available to them. The city of New York was able to deploy that much more quickly, to many more people. They're able to update it, keep it secure thanks to cloud technology offered by AWS. The city of Los Angeles. They face cyber attacks everyday. Then there are the huge cost of maintaining that security. But with cloud they're able to build out event management systems and integrate those with their Homeland Security technologies and practices. And to be able to do it for a fraction of the cost using traditional systems, traditional IT, and traditional practices. It's very exciting. Suddenly local government can move at the speed and agility of a startup. Which has made Amazon very innovative. Last year we launched over a thousand new services and features. Local governments are seeing that. They want to be more like us and others in the industry. That are using cloud to deliver new products and services. And be better at their job. >> And the education, I say it probably patience in the educational role. You think about just the civil liberties of the citizens. That's really job one. Because I think most people get spooked. Whoa all this surveillance. The thing about it, just watching Patriots Day with my family. You know the Boston bombing, Boston strong with Mark Wahlberg. These things actually happen all the time. And we take for granted the some of the things we have in the surveillance community for the kinds of data that's out there. The same time that's the balance. Can you bring me value with my liberties. It's the same compliance scheme. Same governance game. This is the public sector. >> Well, that's where I think cloud has a great story to tell With cloud you get the benefits of economies of scale. Of Amazon with security and also with privacy. We have multiple compliance frameworks. Everything from HIPPA, FERPA, CJIS, Criminal Justice Information Systems. We are zealous guardians of security and our customer's privacy. We don't look at data. We don't share data about with out our customer's permission. We have very strong safeguards. That's why if you look a the customer base of Amazon from banks to government agencies, health care companies. Even companies like Netflix and you would think they're a competitor of ours. They're running their IT in AWS. They trust us even though with Amazon video and Amazon prime. You would think they're a competitor. But they've put that level of trust in us and our systems and our practices that they can put their data there. And we're hearing it from customer after customer. That they feel more safer and more secure with their data in the cloud offered by AWS. And we've shared that with government officials. And they take great comfort in those statements. >> You hit on something earlier. When you said that state governments and local governments have more data at their disposal than the federal government has about their consumers. Because of that, how much higher do find their concerns to be, in terms of cyber security, in terms of hack proof secured networks and systems as opposed to what might happen at the federal level. Cause we think federal. We think big. About what happened with the U.S. government's payment systems last year OPM. State and local they've got a lot more data they're protecting >> I've had a great opportunity in my current job to talk with a lot of IT officials and policy makers in the state. And, often times a meeting will start. And they'll say I've read about this. I've heard about this. And we're often able to say that's not an issue with the cloud offered the AWS. Or that's something we've already addressed through our security and compliance frame works. For example, I was in one meeting and a state policy maker asked me, well what do you do about HIPPA compliance. We have HIPPA compliance in AWS. And then he tried to ask questions, well what about this, what about that. And each time our team was able to tell the state policy maker. We meet that. We exceed that. We actually help write the standard for that compliance frame work. What we've been able to show that policy maker and others. The cloud just offers a far superior security posture than what they can do on their own. It's taken some time because the cloud is new. And as we like to say, it's still day one in this field. But we are very confident as word gets out. More and more people will be trusting particularly in state government their data to the cloud. Because of the superiority it offers on so many different levels. >> Well certainly the words getting out. This event here is just as big as it's ever been (mumbles). Use to be a little summit, now it's grown. There's a lot of interest. >> It's very exciting for me. I've been to reinvent now twice. And this is just so delightful to see so many people from government from the U.S. from internationally here to learn about the cloud share their stories. It's really inspirational to see what's possible. >> That's a testament to Teresa Carlson. Who was just years ago knocking on doors. That was before cloud was cloud. Now it's just come a long way. Congratulations to the whole team. >> Thank you. It's really to delightful to see. And I can't wait to see what's in store for next year and after that. >> We still got a little bit here to go John Don't kick us out. John Stephenson, Public Policy at AWS. Thanks for being with us we appreciate that. >> Thank you. >> Thank you. With John Furrier, I'm John Walls and we'll be back with more here on the CUBE from Washington D.C. right after this. (upbeat music)
SUMMARY :
Brought to you be Amazon Web Services Welcome back here on the CUBE as we continue our coverage It's a good reinvent for Public Sector. We are going to talk about government with our next guest. What exactly as the conduit do you want to bring in the Eastern U.S. from Texas to Main to be a litter more nimble or more agile? and local government in the U.S. What digital services are the citizens going to get? It's great to see that because that will enable a lot that's Bezos' ethos. In the conversations I've had with policy makers but at the same time you don't want And to tell that story, we don't use PowerPoints at Amazon. at the New York City Department of Transportation. So what is New York doing and And to be able to do it for a fraction And the education, I say it probably patience from banks to government agencies, health care companies. as opposed to what might happen at the federal level. in state government their data to the cloud. Use to be a little summit, now it's grown. And this is just so delightful to see so many people That's a testament to Teresa Carlson. It's really to delightful to see. We still got a little bit here to go John and we'll be back with more here on the CUBE
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Day 1 Wrap Up | AWS Public Sector Summit 2017
>> Narrator: Live from Washington DC, it's theCube, covering AWS Public Sector Summit 2017. Brought to you by Amazon Web Services and its partner Ecosystem. >> Welcome back here to Washington, D.C. You're watching Cube Live here at Silicon Angle T.V. The flagship broadcast of Silicon Angle. We are at AWS Public Sector Summit 2017 wrapping up day one coverage here in the Walter Washington Convention Center. Along with John Furrier, we are now joined by our esteemed colleague Jeff Frick who's been alongside all day handling all the machinations behind the scenes. >> Behind the scenes, John. >> John: Doing an admirable job of that, Jeff. >> So what do you think, our first ever visit to your town. >> John: I love it, I love it. >> I sense something tableau at the Opry. The Opry's the other big convention center, here, or Graceland. >> International Harbor. >> It's the same company. >> National harbor, MGM. >> You're a D.C. guy. >> Gaylord. >> Gaylord, thank you. >> What's the connection? So we going to get some tickets for the Nationals game? >> We got Nats game tonight, Strasburg pitched last night, did not pitch well, but who knows? Maybe we'll get Gio tonight. >> Well the action certainly Amazon Web Services >> Yeah let's talk about what we have going on here today, Jeff. >> Well, I mean, we interviewed, you and I did some great interviews. Intel came on, which is obviously Bellwether in the tech business. Jeff, former Intel employee knows what it's like to march to the cadence of Moore's law and Intel is continuing to do well in platinum sponsor or diamond sponsor here at the event. Look it, the chips are getting smarter and smarter, security at the Silicon, powering 5G, a networks transmission, a lot of the plumbing that's going on in cloud and in cars and devices and companies, it's going to all be connected. So it's a connected world we're living in and Intel's going to be a key part of that so they're highly interested and motivated by all the people that are popping up in the cloud. >> We were just talking and Jeff, I know, you're able to listen on the last interview that we did, but a point that you made, that, you know, a point that you raised, about four years ago, when the CIA deal came down and AWS is ON one side and IBM's on the other, and AWS wins that battle. You called it the shot heard round the cloud. And that, now four years later, has turned out to be a hugely pivotal moment. >> Yeah, I mean this is like moments in time history here, again, documenting it on the Cube for the first time. I don't think anything was written about this I'll say it since we're going to be analyzing it. The shot heard around the cloud was 2013 when AWS public sector under Teresa Carlton's team and her leadership, beat IBM for the Central Intelligence Agency, CIA, contract. Guaranteed lots of spec for IBM. Amazon comes out of the woodwork and wins it. And they won it because essentially the sales motion and the power of IBM had this thing lopped in. But at that time the marketplace was booming with what we call Shadow IT, where you could put your credit card down and go into Amazon cloud and get some instants. What happened was someone actually cut a little prototype, showed their boss, and they said, "I like that better than that, let's do a bake-off." So what happened was at the last minute, new opportunity comes in and then they do what they call a bake-off. Bake-offs and RAPs come in and they won. Went to court and the judge in the ruling actually said Amazon has a better product. So they ruled in favor of Amazon Web Services. That was what I called the shot heard around the cloud. Since that point on, the cloud has become more legitimate every single day for not only startups, enterprises, as well as now public sector. So shot heard around the cloud fast forward to today, this show's on a trajectory to take on the pace of re:Invent, which as their core Amazon Web Services show, then of course which is why we're here chronicalizing this moment in history. This is where we believe, Jeff you and I talked about this, and Dave Alante and I talked about the research team, this is where the influction point kicks up. This is a new growth pillar unpredicted by Wall Street, new growth predictor for revenue for Amazon, they're already a cash machine. They're already looking like a hockey stick this way. You add on public sector, it's going to be phenomenal. So, a lot of people are seeing it but this is just growing like a weed. >> Jeff, follow up on that. >> I was going to say, the two mega trends, John, that we've talked about time and time again, and Teresa Carlson and team have done a terrific job here in the public sector, but I always go back to the James, Tuesday night in the James Hamilton at re:Invent, and if you've never gone you got to go, and he talks about just all these big iron infrastructure investments that Amazon continues to make because they have such scale behind them. Whether it's in chips, whether it's in networking, whether it's in new fibers that they're running across the oceans. They can invest so much money to the benefit of their customers, whether it be security, you know, in all the areas of compute, that is fascinating to me. The other thing we always hear about, about cloud, right, is at some point, it's cheaper to own rather than rent. We just keep coming back to Netflix, like at nighttime, I think Netflix owns whatever the number, 45 percent of all internet traffic in the evening is Netflix, whatever the number is. They're still on Amazon. So, it's not necessarily better to rent than buy. You have to know what you're doing and we were at another show the other day, it was Gannet, the newspaper company. When they're using a lot of servers, they use hundreds, but he said there are sometimes, using AWS, that they actually turn all the servers off. You cannot do that in a standard infrastructure world. You can't turn everything off and then on. Which again, you got to manage it. You don't want the expensive bill. But to me, being able to leverage such scale to the benefit of every customer whether it's Netflix or a startup, it's pretty tough. >> And this is the secret, and this is something again, shared with the Cube audience, here, is not new to us, but we're going to re-amplify it because the people make a mistake with the cloud, it's in one area, they don't match the business model to their variable cost expenses. If you get into the cloud business, and you can actually ratchet your revenue coming in and then manage that cost delta redline, blackline, know where those lines are, as long as you're in the black, and revenue, and you then have the cost variable step up with your revenue, that is the magical formula. It's not that hard, it's back of an envelope. >> Right, right. >> Red line cost, black line revenue. >> The other great story, it was from summit, actually, in San Francisco earlier this year, at they keynote, they had Nextdoor, everybody knows Nextdoor it's the social media for your mom, my mom. They love it, right, people are losing dogs, and looking for a plumber, but the guy talked from about Nextdoor. >> John: Don't knock Nextdoor. >> I don't knock Nextdoor, the Nextdoor CEO gets up and he said, well, I laugh because the Nextdoor guy's mom didn't know what he did until he did Nextdoor. Anyway, he said, you know, we have the entire production system for Nextdoor. And then we would build production plus one on a completely separate group of hardwares inside of Amazon. When that was tested out and ready to run, guess what, we just turn off the first one. You can't, you can't, you can't do that in an owned infrastructure world. You can't build N and N plus one and N plus two and turn off N, you just can't do that. >> Well, the Fugue CEO, Josh, everyone should check out on Youtube.com/siliconangle, he was awesome. He basically saw a throwaway infrastructure mindset to your point about Nextdoor. You build it up and then you bring your new stuff in, you digitally throw it away. >> Right, right. >> That's the future. And this is the business model aspect. And public sector, we were joking, look it, let's just be honest with ourselves, it is a glacier antiquated old systems, people trying hard, you know, government servants, you know, that, employees of the government, not appointees, they don't have a lot of budget and they're always under scrutiny for cost. So the cost benefits always there and they have old systems. So they want new systems. So the demand is there. The question is, can they pull it off. >> So, talk about the government mindset or the shift. We've heard a little bit about that today. About how, to the point that you just made there, John, that you know, very reluctant, some foot-dragging going on, that's historical, that's what happens. But now, maybe the CIA deal, whatever it was, we hit that tipping point, and all the sudden, the minds are opening, and some people are embracing, or being more engaging, with new mousetraps, with better ways to do things. >> We've got the speakers coming on here, so we should wrap it up real quick. Final thoughts, from Day One. >> I was just going to say that the other thing is that before there was so much fat, in not only government in general, but in infrastructure purchasing, 'cause you had to, you better not run out of hardware at Q3 when you're running the numbers. So everything was so over provision, so much expense and over provisioning. With Amazon you don't need to over provision. You can tap it when you need it and turn it off so there's a huge amount of budget that should actually be released. >> I want to ask you guys, we'll wrap up here, final, since you're emceeing, final thoughts. What is your impression of day one? I'll start here and you guys can have time to think of an answer. My takeaway for public sector is Teresa Carlson has risen up as a prime executive for Amazon Web Services. She went from knocking doors eight years ago to full on blown growth strategy for Amazon. And it's very clear, they're not there yet. They only have 10,000 people here, so the conference isn't that massive. But it's on its way to becoming massive. Here's their issue. They have to start getting the cadence of re:Invent launches into the public sector. And that's the big story here. They are quickly shortening the cycles between what they launch at Amazon re:Invent and what they roll out of the public sector. The question is how fast can they do that? And that's what we're going to be watching. And then the customer behaviors starting to procure. So greenlight for Amazon. But they got to get those release cycles. Stuff gets released at Amazon re:Invent, they got to roll them with government, shorten that down to almost zero, they'll win. >> Yeah, my just quick impression is, I like to look at the booth action, because we've all had booth duty, right. What's going on in the booths? Did the people that paid for a booth here feel like they got their money's worth? And the traffic in the booths has been good, they've been three deep, four deep. So the people that are here are curious they're interested, they're spending time going booth to booth to booth, and that's a very good sign. >> This is a learning conference. Alright your thoughts. >> I would say, the only thing that is, I wouldn't say it's a red light by any means, but it's like a caution light, it's about budgets, you know, when you run government, you're always, you are vulnerable to somebody else's budget decision. I'm, you know, whether it's Congress, whether it's a city council, whether it's a state legislation, whatever it is, that's always just kind of a, a little hangup you have to deal with because you might have the best mousetrap in the world, but if somebody says nah, you can't write that check this year, maybe next year. We're going to put our money somewhere else. That's the only thing. >> I got my Trump joke in, I don't know if you heard that, but my Trump joke is, I'll say it at the end, there's a lot of data lakes in D.C., and they've turned into data swamps. So Amazon's here to drain the data swamp. >> Jeff: He got it in. He's been practicing that all week. >> I've heard it three times, are you kidding? Funny every time. >> Well you know our Cube, you know we talk about data swamps. I hate the word data lake, as everyone knows, I just hate that word, it's just not. >> Well, there is value in that swamp. >> Hated the word data lake. >> For Jeff Rick, John Furrier, I'm John Walsh. Thank you for joining us here at the AWS Public Sector Summit 2017. Back tomorrow with more coverage, live here on the Cube.
SUMMARY :
Brought to you by Amazon Web Services in the Walter Washington Convention Center. I love it. The Opry's the other big convention center, here, We got Nats game tonight, Strasburg pitched last night, Yeah let's talk about what we have and companies, it's going to all be connected. and IBM's on the other, and AWS wins that battle. So shot heard around the cloud fast forward to today, in all the areas of compute, that is fascinating to me. and you can actually ratchet your revenue coming in it's the social media for your mom, my mom. I laugh because the Nextdoor guy's mom didn't know You build it up and then you bring your new stuff in, So the cost benefits always there and they have old systems. and all the sudden, the minds are opening, We've got the speakers coming on here, that the other thing is that before there was so much fat, And that's the big story here. So the people that are here are curious they're interested, This is a learning conference. That's the only thing. I'll say it at the end, there's a lot of data lakes in D.C., He's been practicing that all week. I've heard it three times, are you kidding? I hate the word data lake, as everyone knows, at the AWS Public Sector Summit 2017.
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Marlin McFate, Riverbed | AWS Public Sector Summit 2017
>> Announcer: Live from Washington D.C., it's theCUBE covering AWS Public Sector Summit 2017. Brought to you by Amazon Web Services and its partner, Ecosystem. >> Welcome back to our nation's capitol where we continue our coverage here on theCUBE of the AWS Public Sector Summit 2017. Some 10,000 strong in attendance this week here in the Walter Washington Convention Center. It's just about a mile from the U.S. Capitol. John Walsh, this is John Furrier. John, do you feel the energy of the centerpiece of the political universe. >> It's hot here in D.C. >> It is hot. >> It's a pressure cooker, the humidity. >> But, it's not global warming we know that because, ya know, climate change is >> Climate change is not real. That's from what I heard. >> That's what we've been told. >> The problem with D.C. is it's a data lake that's turned into a data swamp. So, someone really needs to drain that data swamp. >> Well, ya know, to help us do that. You know who's going to help us do that? >> Amazon Web Services. >> Marlin McFate's going to help us do that. He is the technical leader of the Advanced Technology Group in the office of the CTO and Riverbed. And Marlin, thank you for being with us here on theCUBE. Your first time, I believe. >> Yes, it is my first time on theCUBE. >> So, you're a Cube rookie? >> Yes, Cube rookie. >> Good to have you aboard. >> I appreciate it, thanks. >> Tell us a little bit first about Riverbed, about what you do there specifically, what you do there and what the company's mission is overall. >> Absolutely, so I work for the Advanced Technology Group, the Advanced Technology Group works underneath the office of the CTO. There's actually two groups that work under the office of the CTO, my group, the Advanced Technology Group and another one called the Strategic Technology Group. The ATT Group, the one that I belong to, we focus on being the subject matter experts of our products. I think there's about nine of us now and we all focus on different products. Riverbed's grown from a company of being just the WAN Optimization Company to really being the performance company, right, whether that be visibility, whether it be optimization, whether it be network optimization. Each one of us focuses on a different piece. I, predominantly focus on our WAN optimization, our SteelConnect product and at times our SteelFusion project, which is the combined Edge product. >> SteelConnect, yeah, tell us what that's all about. >> SteelConnect, SteelConnect is not actually our most recent product to come to market. We have a couple of visibility products that have come out recently, but SteelConnect addresses the idea that we have been doing networking for the same way say, you know, 1993 beyond, right. We are still doing it the same way. Everything within our industry, whether you take a look at virtualization, whether you take a look at Cloud, whether or not you take a look at storage, everything has changed substantially in how we do it and this brings that change to networking. The idea is that when you think about servers you say, I no longer want to think about you know, hardware. I never want to think about that. I never want to think about resources. Maybe I don't even want to worry about operating systems. I only want to worry about containers, right. Now, when it comes to networking I don't necessarily want to have to worry about each individual piece within my network. I want it to be orchestrated and controlled centrally and what I tell it to do, I want it to do. I shouldn't have to do that. >> You missed a challenged. We heard Vernon Vogel on stage here at Amazon a couple of seconds ago say, I'm here in D.C. say hey, it's a new normal. We had another entrepreneur on just before you from FUGE who said, hey, it's inevitably the world of the future and it's inherently different, or intrinsically different in Cloud than it is on premise with enterprises, so the question for you is, what is the use case that you guys are winning at because the Cloud is impacting federal government and public sector, but a lot of times they have old, antiquated systems like back in 1993, '94. So, they're moving fast to commercialize, to modernize, that's the focus. How do you guys help them? What's the big lynch pen for you guys and that goal mission to the customer? >> Alright, so you're absolutely right. The government has been here, or the government or public sector as a whole has been moving to the Cloud quite quickly here recently, right. We've seen this move more on the commercial side first, obviously, and now in the public sector. One of the very large use cases that we address is the ability to provision for your applications, right. Some of the characteristics that you find in commercial world, such as, I want to use internet as transport. You don't see as much in public sector. But, you do see, I can spin up an application in the Cloud. If you go to your Cloud person and say, how would it take me to get application B, they could possibly come back to you and say, well, would this afternoon be okay, right. Can you provision in hours like that? Can you get the policy in place for users? Could you get the connectivity? Could you get any of that in place in the same amount of time? That is a use case that SD WAN addresses without having to rip up, take out the network that you already have, which is the physical network, or what we refer to as the underlay. Being able to give you that flexibility on top of that network. >> The big thing that customers have a challenge on is that other focus it's DebOps trend programmable infrastructure is another one, so that they want to make it programmable. >> Right. >> So, how do you guys fit into that? Because one of the things that we hear is, could I have develop 'cause all I want to do is have infrastructure just works as code. That's all I need for whatever use case. >> Yeah, we usually see that DebOps is actually one that'll probably be the first movers to the Cloud for the public sector, right. With our, really it's every single one of our products, whether or not we're talking about SteelConnect, SteelHead, SteelEssential, any one of them, there's a RESTful API for every single one of them. So, you can actually go in and utilizing a very easy scripting a RESTful API directly itself and spin up whole environments and then spin them down if you wanted to do that. So, it fits very, very nicely into that DebOps world. >> Do you have SteelEdge yet? >> SteelEdge? >> Copyright on theCUBE. >> It might be a razor company that might have that. I don't know. >> Well, the Edge in the network is huge and this is where we're talking about as you guys do it, you know SD WAN, I mean, come on, why the area networks? You don't beat, you can't get any more edgier than that. You guys have a core competency in this. How do you guys look at the Edge and IOT and all these use cases popping around? >> Well, we do actually have a product that has Edge in it, it was SteelFusion Edge. We could address that in a couple of different ways. I want to make sure that I understood your question, though. Your question was around IOT, specifically? >> Well, how do you guys look at the Edge? The trends right now are super hyped up right now, Intelligent Edge is a big message we're hearing from others. IOT is an Edge application with its Industrial Edge with Genery Censor networks, help with safety, surveillance, all this is Edge devices. >> It still ends up in the end being you know, and that has, we've heard the change from people calling it Branch to calling it Edge, which is probably pretty appropo, right. But, really in the end, what it comes down to is connectivity, right. So, if I have IOT sensors in a warehouse, whether or not I have an application, whether or not I have a group of users, whether or not I have mobile users, in the end what it really comes down to is connectivity. And, we all especially with our cell phones, right, we have come pretty much to the point where we expect our data and our connectivity to be there at all times, right. That's one of the things SD WAN addresses. Whether it be our direct, our SD WAN products, SteelConnect, or whether or not it has works with some of the pieces that move further into the LAN architectural, like our wireless access points, our switching, right. So, you can imagine here, right, I can provide policy for my IOT devices. I can provide that policy one time at an organizational or agency level. I can have that policy filter down, all the way down to the axis point and now the axis point might be my axis point to my IOT or to my user. So, in the end, it still comes to connectivity. >> Marlin, what's some of the use cases or scenarios you've been involved with customers where it's been super exciting from an architectural standpoint, where you guys are doing some cutting edge things. Like, is it more the network size? Is it software? Is it Edge. I mean, I'm tryin' to get a sense of, could you share a personal perspective? >> Absolutely so. One of the ones that we're working on right now I think is probably the most exciting. It is combining some aspects, you could call it an FE. You could call it SD WAN. You could call it Grey Box. What I like to call it is just a combined Edge piece, right, which encompasses both the SteelConnect piece which handles your firewall characteristics, your identity management characteristics, built into that some switching, virtualization, so you can run other products on there. What the customer really wanted to end up doing was they had school systems that, a school system that was in a very far away place and that school system, they were putting in a router, a switch, an access point, you know, all these different little pieces and devices, right. What we did was we were able to take that design and crunch it down into basically one box, right. They have enough switchboards. They have the ability to run virtual machines 'cause they said that they had a server here or there. They have their virtualized SteelConnect gateway which gives them the firewall capability, gives them the routing capability and this is all combined in a box that already has the WAN Optimization built in. So, they get everything that they would have had onsite in one box. >> Is there something to working, you bring up education as an example, but in that space overall in the .gov, the .edu space that's separate and aside from commercial partners or commercial relationships like different concerns, different priorities and yet they're using the same technologies. >> Most certainly. The only thing that I could really say from a using technology, right, I mean there are some pockets where different technology, far off weird technologies is utilized. But, I would say that they are the public sector, schools, federal government, intel, they're all using a lot of the same technology, right. It's when they adopt it. When did they bring it into their environment? And then, what are the special characteristics of their environment? So for example, what I said earlier, right, your commercial customers are looking at utilizing SD WAN to move maybe completely off of MPLS. It's probably not something that we're going to see within the public sector, right. They're want to still use some sort of private networking. I do have some customers that are utilizing public internet, but then, they are tunneling an overlay back to an MPLS entry point to get back into their Cloud. We just have interesting requirements. Whether that be a trusted internet connection, whether or not that'd be JRSS, we have different security requirements in the public sector. >> Well, I love some of what you're doin'. Did you get all of that MPLS stuff there? >> Yeah, I got the first four. >> I want to jump in and double down on that. This is interesting conversation because the whole trend right now is hybrid Cloud on the Enterprise side which is a leading indicator to the government, a little bit lagging on that, so whatever that translates to in terms of Hybrid or Legacy, it's going to be somewhat similar, I believe. But, really multi-Cloud is a trend that people are talking about. It's super hyped up but it's not yet real. The thing that's holding multi-Cloud back not multi-Cloud in the sense I got to workload over hear and a workload over there, I'm talking about moving resources around the network, data, compute, what not, is latency, huge problem. You mentioned MPLS and all this tunneling, there's still the latency problem of how do you get the laws of physics down to the point where you can actually have those kinds of latencies? What is Riverbed doing? Can you share some insights to that direction 'cause that's the holy grail right now. That's the last hurdle. Then, well getting all the silicons is still the final hurdle, but latency's critical. >> So, problem number one there, right. Even if it is Cloud to Cloud in that example, right, is first how do I get a WAN Optimization device, something that can optimize that traffic for me. Something that can affect my latency for me into that environment. Riverbed has worked tirelessly to get that in there right. But, to your point, you can't change how an electron flies, right. The speed of light is the speed of light. You're not going to get an electron to move any faster. So, what Riverbed developed that's still very relevant today is the ability to, instead of change your latency, mitigate the negative affects of your latency, right. So, if I. >> Or work around it. >> Absolutely, and you can do that at the application level, absolutely, program around it, but there are a lot of protocols out there that aren't necessarily optimized for that longer latency environment, right. So, what we do is, or the adage is, the trip never taken, right, the shortest trip. So, if I have to, not to get into the weeds or anything like that, but if I have to make a thousand round trips to accomplish something, right, and I could put something in there that understands what I was getting, right, that data that I was getting each one of those times and I can take less trips, well then, that just made that faster. So, if I have a thousand round trips and it takes a minute to do, and now I can do ten round trips and it only took ten seconds, or six seconds if we're doing the math right. >> It's kind of like here in D.C., you're local. I noticed that coming from Dulles Airport they have Sirius pricing on the toll roads. That's basically private networking right there. >> That's right. >> These cost path routing opposed to the other side. I was in the, you know. >> Marlin was more describing my trips to the hardware store on the weekends, a thousand round trips, be a lot more economical. But you're right, it is private networking. >> If you're off the road, you're off the packets aren't on the network it saves some room for someone else. >> More traffic, you hear more traffic at the higher speeds. >> You actually could. So, you get two benefits. One is the increase of speed, but the other is the perceived capacity increase of your network. And, we accomplish these things through compression which is really, really simple. I think compression is a must, right. But, through our data duplication. Data duplication is I've seen these patterns before and it's a byte level. We're not talking about an object. I haven't seen a file. No, I've seen these byte level patterns before, I don't need to resend them. And, in traditional network or traditional applications you see pretty much in any organization, right, you typically can get somewhere between 50 and 80, if not sometimes 90% reduction total in traffic. >> My final question before we wrap up this segment here is, Share with the folks, take a minute to talk to the audience about what you're doing with Riverbed at the show and what they should know about the current Riverbed. I know you've guys trying a transformation of yourselves, give a quick plug. Go ahead. >> Absolutely. So, what we're specifically doing here or one of the pieces that is a differentiator for us and our SD WAN is, we went ahead and we thought why couldn't we make that an AWSPPC or a Cloud instance one of my Edge sites, right, connecting into the Cloud, there's many different ways to do it, but why couldn't we make a very simple way of doing that? Why couldn't I take the technology that I'm already putting in place at my data centers, I'm already putting in place at my branch offices, why can't I utilize that to create a secure connection into my BBCs. And, to your point, actually earlier one of the things that's also interesting was Cloud to Cloud. Why couldn't I take that same technology and connect multiple Clouds? Whether they be private Cloud or two public Clouds or connect them all together and take the best of all worlds, right, the best from each and make the best infrastructure that I possibly can. So, what we're showing off here from a SteelConnect perspective is our ability to do that. I can take an AWSVPC, actually I can take all, I think there's 16 regions within AWS and I can interconnect them in less than 10 minutes with the click of a button. And, then back into my infrastructure. So, that and then we also have brought Eternity, which is one of our visibility products that is basically rounded out on our visibility play within the market. We have the network. We have the app. We have the database. Now, we have the end users computer. >> Alright, well, if you could interconnect me to my home in 10 minutes I'm a client. I'd be sold, I'd be all over it. >> I'm going to be in the same traffic as you later. >> I'm not that far from here, but it might as well be another day. Marlin, thanks for the time. >> Absolutely, my pleasure. >> Good to have you on theCUBE, alright. >> Thanks, hope we get to do it again. >> Riverbed has joined us here on theCUBE. We'll be live with more from Washington D.C. right after this.
SUMMARY :
Brought to you by Amazon Web Services of the centerpiece of the political universe. That's from what I heard. So, someone really needs to drain that data swamp. You know who's going to help us do that? He is the technical leader of the Advanced Technology Group about what you do there specifically, and another one called the Strategic Technology Group. for the same way say, you know, 1993 beyond, right. What's the big lynch pen for you guys Some of the characteristics that you find so that they want to make it programmable. Because one of the things that we hear the first movers to the Cloud that might have that. Well, the Edge in the network is huge We could address that in a couple Well, how do you guys look at the Edge? So, in the end, it still comes to connectivity. Like, is it more the network size? They have the ability to run but in that space overall in the in the public sector. Did you get all of that MPLS stuff there? not multi-Cloud in the sense I got to workload The speed of light is the speed of light. Absolutely, and you can do that I noticed that coming from Dulles Airport I was in the, you know. to the hardware store on the weekends, the packets aren't on the network at the higher speeds. One is the increase of speed, at the show and what they and take the best of all worlds, right, Alright, well, if you could interconnect Marlin, thanks for the time. Riverbed has joined us here on theCUBE.
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John Galvin, Intel - AWS Public Sector Summit 2017
>> Announcer: Live from Washington, D.C., it's theCUBE, covering AWS Public Sector Summit, 2017. Brought to you by Amazon web services and it's partner, Ecosystem. >> And welcome to our nation's capitol. Here we are in Washington, D.C. TheCUBE coming live from the Walter Washington Convention Center, here for AWS Private Sector Summit. It's our maiden voyage with the Public Sector so looking forward to this. John Walsh and John Furrier, glad to have you along for the ride, John, this is going to be a good week. >> Hey, it'll be fun. >> A good couple of days. John Galvin joins us. He is the Vice President and General Manager of the Public Sector Intel. John, thank you for being with us here on theCUBE; glad to have you. >> It's a pleasure to be here, thank you. >> Tell us a little bit first off, about your portfolio. >> J.Galvin: Sure. >> I understand you cover not only United States, but you have a global footprint as well. Touch base a little bit with our audience with what you're up to. >> Yeah, absolutely. So first of all, I have to put it in perspective for everyone. People know us as a micro-processor company. They don't always attribute us to going out and calling on government, or education decision makers. So we really act as a trusted advisor. We don't sell directly to government or to education entities, and I have sales people, or account exec's, around the world who are going in and meeting with ministers of education or ministers of ICT. Sometimes it's a school superintendent or a district superintendent, but, overall, what we're talking about is digital transformation and how technology can be used to advance government or advance education. And sometimes at a national level, could be at a state level, could be at a district level. >> Well, John and I were talking in our open segment just a little bit ago, about maybe a glacial pace isn't fair to say about how government had that reputation, obviously, for many years about being, maybe, reluctant. >> Right. >> To embrace change. What do you see now in that space? Is there this shift going on, that there's more of an embracing of technology? And of more entrepreneurial kind of spirit within the operation of government? >> Yeah, absolutely. It is happening so quickly. The categorization of government moving slowly is absolutely true. Education the same. But now wherever I go around the world, everyone is talking about transformation and they're starting to launch projects that might be a pilot or a proof of concept, but they're getting started. The challenge is when you talk about digital transformation it is so big so it becomes difficult for governments to really get their hands around it, and what are they going to do to improve citizens quality of life. Is that going to be a healthcare initiative? Is it going to be a transportation initiative? Sometimes it's an education initiative; and we're seeing them all. I think what is causing it to advance now is they see proof-points that it works. That by making those investments it really is changing the quality of life for people. And in emerging markets they don't have existing infrastructure that they have to tear out and replace. And some of the mature markets, it's how do you actually breakdown those silos. >> Well, John, I'm really glad you came on. Intel, in my opinion, I've been following Intel for many years, recently, has been pretty amazing. But you guys have always been a bellwether for trends, I'd say, five to 10 years out. I mean, look at everything that Intel's done with technology You have that five to 10 year stair instantly in what you're proposing. We've been seeing a lot of the AI commercials with Intel, what is the Public Sector trends that intersect with the vision of Intel? >> Well, you're absolutely right. If you look at what Intel does we're similar to the auto industry. It takes us five to six years to produce our next processor, and so we have to be looking that far out of what are the use cases, and really, what are those technological boundaries that we're going to either cross or break? And AI is absolutely the conversation today. It's sort of around artificial intelligence and it's no longer science fiction. We're not talking about it in the future; we're now talking about how can we use it today? Machine learning big, big topic, and not just the role that Intel plays, but companies like AWS; big players, in terms of how that actually comes to life in your home. It's not just how it's going to come to life in a big government institution or a big enterprise. >> And the Public Sector landscape, for the folks that are watching some know the Public Sector, what is the Public Sector? Because it's not the government. There's education, there's health, so what's the layout. How do you categorically look at it? How should people think about Public Sector? Not just GovCloud because there's a GovCloud, but is there a Public Sector cloud? I mean, how should people think about it? >> Yeah, great question. I work as part of a group at Intel that are all verticals. There's a healthcare team, there's a transportation team, there's an energy team. Public Sector is completely different because we're all of those things. We're working on transportation projects, we're working big healthcare projects, and so Public Sector you have to look at in the biggest sense where it's not just a federal presence but it is a state presence, it's a city presence or a county presence. And so our opportunity is to be able to connect all of those things, and that is what I think is so exciting about the transformation that is taking place right now is for that vision to be realized those silos really need to be broken. You know, you're going to hear comments over the next couple of days about forming a data lake. Which is bringing in all of those data streams into a single spot so that you can apply analytics and be able to get to insights that we've never been able to get to before. >> So how do you do that if you talk about municipality levels, state levels, federal levels, different operating systems, different processes, different procedures? And all great resources, how do you pull all that together and make that an asset instead of a morass? >> Well, in that question you just captured how big this opportunity is, and the way that we do it is we work with our ecosystem partners. The strength that Intel has when we enter into those conversations is we work with everyone. We work with the big cloud providers, we work with all the different operating system providers. We're not only with the computer companies that are our partners and our customers, but we're working now with internet and think companies, and so we have the ability to now work across that ecosystem to start pulling all of those pieces together. The heart of your question though is that those are all different systems that have been built over time. And if you look at what's been happening in enterprise over the past 10 years is CIO's and CTO's at the enterprise levels have been breaking down those silos and moving more to single systems and big data streams. And now that's what's happening with in the Public Sector is that data has to come together. >> John, talk about the collaboration between Intel and AWS and what is going on with you guys, how you guys are working together, and what's the impact in serving Public Sector customers? >> Well, we have had a great partnership with AWS from the beginning. (audio cuts out) (audio cuts out) That's going to take on this bigger vision is going to have a cloud discussion. There will still be things that they're going to be doing on premise, but it's most likely going to be a hybrid environment. And so with AWS we really have the opportunity to have a bigger discussion, where they can really have that cloud discussion and even some of the analytics layer. They're also doing more at an IOT perspective; we're able to join that conversation in terms of how our technology really plays into it. But I think the other thing we're able to do with AWS is really look for innovators. We're able to identify either those small companies, or even some of the cities are doing some really great things. And then because of their global footprint and our global footprint we can share that pretty broadly. >> And ecosystem's critical. You guys, Intel's always been ecosystem friendly company. With that in mind I got to ask you the question that everyone's talking about, and certainly, we're covering Mobile World Congress this year in Barcelona. And you couldn't go anywhere without hearing 5G and these new phones that are coming out. And then under the hood network transformation, you're hearing about software to find networking, machine learning, AI a lot of things that you guys are talking about. So the question for you is Smart Cities. It is a really, really hot opportunity just to even think about the concept of what a Smart City entails. I mean, here in D.C., like other cities, they have bicycles people can take out and ride around. That's a smart city, that's a cool service. But now you bring digital all to it. Imagine, Air B&B, you've got Uber, you've got Lift you've got all kinds of digital services, digital experiences. This is a government, this is a Public Sector issue. This is an interesting one. How is Intel's view on Smart Cities, how do you see that rolling out? >> First of all, we're very excited about what's happening within Smart Cities, and to the beginning of your question we think 5G is going to be an accelerant. It's going to cause it to happen even faster than it's happening now. What's interesting about Smart City is that it really does take a lot of different formats. And so we see cities who are really focused on public security and safety. We have examples whether it's Singapore, London of how they're now capturing new data with the cameras that they put up, and can do real-time analytics on it using AI and machine learning. So it's not that they just have all of these data streams, but they're doing real-time analysis of the data stream to be able to identify potential threats. But we also have examples where we're seeing cities invest in new technology to, essentially, replace what are the old ways of us being able to communicate and engage with the government. And that could be as simple as there's new information that's available to us. Or as they're collecting all these data streams they're making that data public and available for innovation, and so entrepreneurs now have the ability to also build solutions on those data streams. It's an incredibly exciting time. >> I mean, it's mind boggling to just think about how we live our lives in our cities. I can call the police department, the fire department, call for services in the analog world. Imagine video chat. Is that going to go to the certain departments? So how people engage, which side of the street do the cars drive on, who decides all that? And this is kind of how big this is. It's mind blowing. >> Well, it is big, and I'm going to answer that in two ways. Yes, the way that we did things before is changing and it's changing rapidly. To your 911 reference, I don't know, does it have to be a video engagement? Or through video are we actually capturing real-time that there's an incident that the fire department or an ambulance or police need to be dispatched. Where no phone call actually needs to be made. >> J.Furrier: Real-time analytics. >> Yeah. >> Predicted, prescriptive analytics could come to the table. >> Yeah, absolutely. And so we're already seeing examples of that, where that's happening today. What we're not seeing happening at scale, but I think we will see it happening at scale, all of those early adopters they had to figure it out on their own. But now we have blueprints, we have frameworks that we can share with other cities where they will be able to do it much more quickly. >> All right, what project really stands out for you, in all the things you're looking at, in the Public Sector because there's so much going on that you guys are doing I mean, props to Intel love what they're doing. The AI mission really puts a vision in place but also it's reality now with machine learning. What projects stand out for you that you see as real innovative, collaborative between Intel and AWS? >> Yeah, so we did a project with AWS where we, essentially, created a competition for new ideas to be able to come forward, and out of that what we've seen is some cities really doing some innovative things, just taking those first steps. What that does for us is it gives us a broader view than we would be able to get on our own. But some of that's basic. Say exciting stuff, we have exciting examples, the kiosks on the street corners in New York are an exciting example. What we see some of the universities doing, I think, is really exciting. Universities around the world have an issue with student retention. Where they just experience high drop out rates at the end of the freshman year and the end of the sophomore year. The challenge is how do you identify a student at risk? Well, automate attendance and you can now see are students actually attending classes. Or are they skipping class? Start using sensors and beacons on the campus and you can actually detect what those student patterns are and you just might need to have a counselor step in or a professor step in and really sit down with them and walk them through it. >> Use the IOT example, humans are things too, right? I mean, wearables, they got all kinds of sensors that could be even on-person device too. Absolutely, we have been working with the University of Texas Arlington, exactly, on that project. Through a sensor you can actually capture the emotional state of student. Are they highly stressed? And should that be, again, an environment where-- >> Explain how. How does that work? >> Through body temperature and -- >> So biometrics being measured. >> Yeah. >> Body temperature, respiration rates, all those kinds of things. >> Mental health is a huge issue in colleges and universities around the pressure. >> You can see that idea from a health perspective, strep throat, right? >> Sure. >> It's like the freshman plague. Every freshman gets strep throat. But if you could identify anxiety as it's being formulated before it manifests itself in academic performance, you could treat that. >> Sure, and now you combine that with capturing data from the student cafeteria or dorms of what are they're eating patterns, what are they're sleeping patterns? Are they actually getting enough sleep? So you get a much more holistic view of the student. And we have to be careful here, right, because-- >> Host: There's privacy concerns. >> Right, there's absolutely privacy and security concerns. And anyone who engages in these projects, heightened awareness of that. So it really is about quality of life and how do you create a better educational experience, not create anything that's threatening, but it becomes a much more personalized learning experience. >> The convergence and the conflicts between IOT and cloud and processing power and software, it's interesting, I was looking on prior to the show coming in I saw on your website at Intel Farmers in America. And then on Amazon's site there's a City on the Cloud. Can you take a minute and explain those projects. I think they're both Intel and AWS collaborations. Can you just take a minute to explain the City on the Cloud and the Farmers of America, what's the big aha there? >> So it's a three year project that we've been working on in collaboration with AWS, and the whole idea was for us to be able to identify some innovative ideas within the space because it is still a new area. How do we, essentially, give some of these entrepreneurs and innovative people a chance to be able to bring their idea into fruition? And so agriculture and Farmers America's a great example because that data is being collected in terms of weather patterns and how they can now, essentially, access that data to be able to plan differently what they're doing as well as better enable them to share with others what they're finding as they're making changes too. >> The farm tech has been hot on the D.C. community, certainly, in the Silicon Valley seeing people doing farm tech. Farm tech is one of those things, agriculture's a huge area that health implications too. People are interested in automating a lot of things and bringing tech there. And then also healthcare is a factor too. One of the areas is education but healthcare is another one that you guys are, what's the new thing in there that you guys are doing in healthcare? >> Yeah, we're doing quite a bit in healthcare around the world, and if you really think about it the challenge with healthcare is that your records are typically with your doctor or with your hospital. They're not always shared and they don't move with you when you travel. And so the first opportunity is how does that data actually become standardized so that it can actually be shared. But the other opportunity in healthcare is for those CTO's and CIO's to start using data very differently, to understand the patterns of what's happening within their hospitals. And you're earlier reference, John, to strep throat within a campus, how do you, essentially, start tracking that there's a trend and that there's something that you could potentially deal with much more quickly once you have the insights to it. >> All right, so take a minute as end this segment here, I want to get your thoughts on, give us a taste and showcase some of the Intel speeds and feeds, some of the tech, what's under the hood, what's coming out of Intel that's powering all of this because remember we're all driving the self-driving digital tooling out there. It's all powered by the Zeons, all kinds of cool stuff. What's the latest state-of-the-art that you got from Intel that you guys are bringing to the market in the Public Sector? >> Yeah, well, thank you for that question. I don't normally get it. >> Host: John loves it. He's a speed and feed guy. >> To get too much feedback. Too geeky. >> Well, your earlier question was around AI and machine learning and for us that's the zonify. And if you look at the power of zonify it's, essentially, three times the teraflops of the largest super computer that existed 20 years ago, in a single processor. And so for us it's an opportunity to then really be able to advance and accelerate what's happening with artificial intelligence as well as machine learning. >> Well, it's an exciting new world. Obviously with a realm that goes healthcare to ag, to education, to government with Intel very much at the center of that. John, thanks for being with us. >> It was great to be here. >> We appreciate the time on theCUBE. We look forward to having you back. We'll continue our coverage live here from the AWS Public Sector Summit here on theCUBE. Back with more in just a bit. (upbeat music)
SUMMARY :
Brought to you by Amazon web services glad to have you along for the ride, John, He is the Vice President and General Manager I understand you cover not only United States, and I have sales people, or account exec's, around the world isn't fair to say about how government had that reputation, What do you see now in that space? Is that going to be a healthcare initiative? You have that five to 10 year stair instantly in terms of how that actually comes to life in your home. And the Public Sector landscape, for the folks And so our opportunity is to be able to connect is that data has to come together. and even some of the analytics layer. With that in mind I got to ask you the question of the data stream to be able to identify potential threats. Is that going to go to the certain departments? does it have to be a video engagement? that we can share with other cities I mean, props to Intel love what they're doing. and the end of the sophomore year. And should that be, again, an environment where-- How does that work? all those kinds of things. and universities around the pressure. It's like the freshman plague. Sure, and now you combine that with capturing data and how do you create a better educational experience, the City on the Cloud and the Farmers of America, access that data to be able to plan differently is another one that you guys are, and that there's something that you could from Intel that you guys are bringing Yeah, well, thank you for that question. He's a speed and feed guy. To get too much feedback. And if you look at the power of zonify to ag, to education, to government with Intel We look forward to having you back.
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