(upbeat music) >> Narrator: From around the globe, it's theCUBE with digital coverage of AWS Public Sector Online brought to you by Amazon Web Services. >> Welcome back to theCUBE's coverage of AWS Public Sector Summit Online. I'm John Furrier, your host of theCUBE. I wish we could be there in person, but we're doing remote because of the COVID and the pandemic. We've got a great guest, Paul Grist. Worldwide Public Sector, Head of Education International for AWS. Paul, thank you for coming on remotely. >> Great to be here, John. >> There's a lot of disruption in the education space this year with universities and schools still uncertain about what the future will look like. What are some of the biggest trends you're seeing? >> John, what we've seen is the rapid adoption of technology and the growth of flexible online learning, learning that can take place anytime, anywhere. What we've seen is universities, national education systems, and schools rapidly migrating systems and content to the cloud, spinning up new applications. And we've seen companies that provide technology and content and platforms, the ed techs and publishers of the world, increasing their capacity, increasing their capability to deliver new applications to education. >> What is some of this research that you're finding out there? >> Yeah. You know, a time of much change and things happening very, very fast. We responded fast to the changes, John. Got a load of customer conversations together, looking at speeches by educationalists who were responding to the changes at some of the online events that spun up very quickly at places like the University of Buckingham, ASU, JSV, Inside Higher Education, places like Blackboard World. And really just talked to those leaders about their responses to the change, what kinds of things they were doing, and brought that together into the research. It's underpinned by some in-depth research and insights from education reports and articles too. >> Thanks Paul, really appreciate it. Having that research is critical. I know you guys do a lot of work on that. I know you got some news, take a quick plug for the new research that's coming out. You guys just put out today, just take a minute to quickly explain what it's about and how to find it. >> We're publishing today some new research that shows the seven key emerging trends in this new world of education. Check it out on the AWS website. Two key trends, flexible learning and the new world of employability. >> So you guys got a lot of data. It's great with Amazon, got a lot of customers. Good to see you guys getting that research. The question I have for you Paul is, what amount of the research shows really the COVID situation? Because there's before COVID, there's kind of during, and then there's going to be a post-COVID mode. Was that prior research in place with COVID or after COVID? Can you share kind of the update on the relevance of your research? >> Yeah, I think the sector has changed. The sector has gone through the fastest change it's ever gone through. And undoubtedly most of the issues, most of the challenges and opportunities in the sector, predate the pandemic. But what we've seen is COVID accelerate many of the challenges and the opportunities, but also bring new opportunities. >> Yeah, one of the things we've seen with education is the disruption, and the forcing function with COVID. There's a problem, we all know what it is. It's important, there's consequences for those. And you can quantify the disruption with real business value and certainly student impact. There's been downsides with remote education. More teacher-parent involvement and students having to deal with isolation, less social interaction. How do you guys see that? Or what is Amazon doing to solve these problems? Can you talk about that? >> Yeah. I think you know, education is very much a people business. And what we've been trying to do is partner with organizations to ensure that the people are kept at the center of the business. So working with organizations such as LS, sorry, Los Angeles United School District in the US to spin up a call center to allow students to contact their tutors. And parents to interact with tutors, to get questions answered. >> So one of the challenges these academic institutions are facing is speed, it's pace of change. What's going on with competition? How are they competing? How are universities and colleges staying relevant? Obviously there's a financial crisis involved. There's also the actual delivery aspect of it. More and more mergers. You're starting to see ecosystem changes. Can you talk about what's going on in the educational ecosystem? >> Yeah I mean, educational institutions are being forced to rethink their business models. It's an international marketplace in higher education. It's been a growing marketplace for many, many years. That suddenly stopped overnight, so every university has had to rethink about where their revenues are coming from, where the students are coming from. There's been some surprises too. I mean in the UK, actually international enrollments are up post-COVID because one of the strange side effects of COVID is without being able to travel, there's actually a cost saving for students. And so we've seen universities in the UK benefit from students who want to study, perhaps travel and the cost of study was too high previously. Now being able to study remotely. It's an unexpected and unintended consequence. But it kind of shows how there are opportunities for all organizations during this time. >> Many countries had to cancel exams altogether this year, which has been a big, huge problem. I mean people are outraged and people want to learn. It's been, you know, the silver lining in all this is that you have the internet (laughs). You have the cloud. I want to get your thoughts. How are universities and schools dealing with this challenge? Because you have a multi-sided marketplace. You've got the institutions, you've got the students, you got the educators, they all have to be successful. How are universities dealing with this challenge? >> Yeah I think, you know, teaching and learning has been online for 20, 30 years. And I think a lot of organizations have adopted online teaching and learning. But I think assessment is the one big area of education that remains to be made available at scale at low cost. So most assessment is still a pen-and-paper-based. There's big trust and identity issues. And what we're seeing through this COVID change is organizations really getting to grip with both of those issues. So, having the confidence to put assessment online, to make it available at scale, and then also having the confidence to tackle trust and identity questions. So who is taking the exam, where are they sitting? Can we be sure that it's actually that person taking that exam? So you know, the rise of things like proctoring technologies giving organizations the opportunity to assess remotely. >> How has this crisis affected research at academic institutions? Because certainly we know that if you need a lab or something, certainly we're seeing students need to be physically in person. But with remote and all those changes going on with the scale and the pace of change, how has research at academic institutions been impacted? >> Yeah I mean, research has always been a really collaborative activity, but we've seen that collaboration increase. It's had to increase. Researchers have had to go remote. Many of them work in labs. They haven't been able to do that. They've needed to spin up applications and new technologies in the cloud to continue working. But what we're seeing is governments taking an increased interest in the research being applicable, making sure that it leads to innovation which is meaningful. Getting much more involved and insisting that the research is made available now. And of course there's no place that that's clearer than in health research and trying to find a cure for COVID. And then secondly, we're seeing that research is becoming much more collaborative not just across institutions but also countries. So one of the great projects we're involved in at the moment is with the University of Adelaide who are collaborating with researchers from the Breeding and Acclimatization Institute in Poland on a project to study the increase in crop yield of wheat. >> One of the things that's coming out of this, whether it's research or students is open online courses, virtual capabilities. But a concept called stackable learning. Can you explain what that is? >> Yeah. We're in a global marketplace in education and there's increased competition between universities and education providers to make new types of certificates and online badges available. We know that employers are looking for ever more agile methods of scaling and upskilling. And stackable learning is a concept that's been around for a couple of decades now, where learning is broken down into smaller chunks, put together in a more personalized way from a number of different providers. Spun up very, very quickly to respond to need and then delivered to students. We're seeing some of the big providers like edX and Coursera who, again have been around for over a decade become really prominent in the provision of some of these stackable credentials. Their systems run on the cloud. They're easy to access, in many, many cases they're free. We're seeing an increasing number of employers and education institutions adopt and embed these types of delivery systems into their curriculum. >> Totally a fan of stackable learning, it's called the Lego model, whatever I call it. But also online brings the nonlinear progressions. The role of data is super important. So I'm very bullish on education being disrupted by cloud providers and new apps. So you know, I wanted to call that out because I think it's super important. Let me get to a really important piece that it has to be addressed, and I want to get your thoughts on. Cyber security. Okay, cyber attacks and privacy of students are two areas that are super important for institutions to address. What's your reaction to that? >> Yeah, I mean the use of more technology becomes, you know again, a target for cyber attack and unfortunately it's an increasing phenomenon. Simply put, every organization needs to put security first. Needs to operate as a security-first organization. They need to adopt technologies, people and processes that can protect their investments. And work with data management vendors, cloud vendors who've got the compliances and the common privacy and security frameworks such as GDPR in place to make sure that they provide secure services. AWS's security offerings include auditing, login and identity management, data encryption capabilities that offer more transparency and control, to allow institutions protect student data. >> Super important, thanks for sharing. Finally, what's the steps institutions can take to close the digital divide because now some people are taking gap years. Research is changing. People might not even have PCs or internet connections. There's still, this exposes the haves and have nots. What steps can institutions take to do their part? >> Yeah, digital learning is here to stay, John. We've learned that many learners do not have access to technology necessary for online learning. Whether those are devices or a reliable internet connection. But again, you know governments, states, educational authorities have all turned their attention to these issues over the last few months. And we're seeing organizations partner with technology providers that can provide internet connections. Partners in AWS, such as Kajeet who've installed hotspot devices on buses to deploy in areas with no connectivity. You know whether that's a place like Denver, Colorado or whether it's a place, you know, in Nigeria in Africa, remote connection remains a problem everywhere. And we're seeing everybody addressing that issue now. >> Paul, great to have you on theCUBE and sharing your insights on what's going on in international education. Final question for you. In your own words, why is this year at the AWS Public Sector Summit Online important? What's the most important story that people should walk away in this educational industry? >> The most important story, John, is it's a time of incredible change but also incredible opportunity. And we're seeing organizations who have wanted to change, who've wanted to deliver more to their students, who want to deliver a greater experience, who want to access more students and have much greater reach. Now with the appetite to do that. re:Invent is a great opportunity to work with AWS, to understand what's going on with our partners, with our customers. And look at some of the common solutions for the challenges that they're looking to solve. >> Paul Grist, thank you for coming on theCUBE. Really appreciate it. Worldwide Head of Education for International AWS. Thank you for sharing. >> Thanks John, great to be here. >> Okay, this is theCUBE's coverage of AWS Public Sector Online Summit. Remote, virtual, this is theCUBE virtual. I'm John Furrier, your host. Thanks for watching. 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>>live >>from Denver, Colorado. It's the Q covering com vault Go 2019. Brought to you by combo. >>Hey, welcome to the Cube. Lisa Martin in Colorado for CONMEBOL Go 19. Statement. A man is with me this week, and we are pleased to welcome one of combos, longtime customers from the University of Leicester. We have Mark Penny, the systems specialist in infrastructure. Mark. Welcome to the Cube. >>Hi. It's good to be here. >>So you have been a convo customer at the UNI for nearly 10 years now, just giving folks an idea of about the union got 51 different academic departments about five research institutes. Cool research going on, by the way and between staff and students. About 20,000 folks, I'm sure all bringing multiple devices onto the campus. So talk to us about you came on board in 20 ton. It's hard to believe that was almost 10 years ago and said, All right, guys, we really got to get a strategy around back up, talk to us about way back then what? You guys were doing what you saw as an opportunity. What you're doing with combo today, a >>time and the There's a wide range of backup for us. There was no really assurance that we were getting back up. So we had a bit of convert seven that was backing up the Windows infrastructure. There was tyranny storage manager backing up a lot of Linux. And there was Amanda and open source thing. And then there was a LL sorts of scripts and things. So, for instance, of'em where backups were done by creating an array snapshot with the script, then mounting that script into that snapshot into another server backing up the server with calm bolt on the restore process is an absolute takes here. It was very, very difficult, long winded, required a lot of time on the checks. For this, it really was quite quite difficult to run it. Use a lot of stuff. Time we were, as far as the corporate side was concerned it exclusively on tape resource manager, we're using disc. Amanda was again for tape in a different, completely isolated system. Coupled with this, there had been a lack of investment in the data centers themselves, so the network hadn't really got a lot of throughput. This men that way were using data private backup networks in order to keep back up data off the production networks because there was really challenges over bandwidth contention backups on. So consider it over around and so on. If you got a back up coming into the working day defect student So Way started with a blank sheet of paper in many respects on went out to see what was available on Dhe. There was the usual ones it with the net back up, typically obviously again on convert Arc Serve has. But what was really interesting was deed Implication was starting to come in, But at the time, convo tonight just be released, and it had an absolutely killer feature for us, which was client side duplication. This men that we could now get rid of most of this private backup network that was making a lot of complex ISI. So it also did backup disk on back up to tape. So at that point, way went in with six Media agents. Way had a few 100 terabytes of disk storage. The strategy was to keep 28 days on disk and then the long term retention on tape into a tape library. WeII kept back through it about 2013 then took the decision. Disc was working, so let's just do disco only on save a whole load of effort. In even with a take life, you've got to refresh the tapes and things. So give it all on disk with D Duplication way, basically getting a 1 to 1. So if we had take my current figures about 1.5 petabytes of front side protected data, we've got about 1.5 petabytes in the back up system, which, because of all the synthetic fools and everything, we've got 12 months retention. We've got 28 days retention. It works really, really well in that and that that relationship, almost 1 to 1 with what's in the back up with all the attention with plants like data, has been fairly consistent since we went all disc >>mark. I wonder if you'd actually step back a second and talks about the role in importance of data in your organization because way went through a lot of the bits and bytes in that is there. But as a research organization, you know, I expect that data is, you know, quite a strategic component of the data >>forms your intellectual property. It's what is caught your research. It's the output of your investigations. So where were doing Earth Operational science. So we get data from satellites and that is then brought down roars time, little files. They then get a data set, which will consist of multiple packages of these, these vials and maybe even different measurements from different satellites that then combined and could be used to model scenarios climate change, temperature or pollution. All these types of things coming in. It's how you then take that raw data work with it. In our case, we use a lot of HPC haIf of computing to manipulate that data. And a lot of it is how smart researchers are in getting their code getting the maximum out of that data on. Then the output of that becomes a paper project on dhe finalized final set of of date, which is the results, which all goes with paper. We've also done the a lot of genetics and things like that because the DNA fingerprinting with Alec Jeffrey on what was very interesting with that one is how it was those techniques which then identified the bones that were dug up under the car park in Leicester, which is Richard >>Wright documentary. >>Yeah, on that really was quite exciting. The way that well do you really was quite. It's quite fitting, really, techniques that the university has discovered, which were then instrumental in identifying that. >>What? One of the interesting things I found in this part of the market is used to talk about just protecting my data. Yeah, a lot of times now it's about howto. Why leverage my data even Maur. How do I share my data? How do I extract more value out of the data in the 10 years you've been working with calm Boulder? Are you seeing that journey? Is that yes, the organization's going down. >>There's almost there's actually two conflicting things here because researchers love to share their data. But some of the data sets is so big that can be quite challenging. Some of the data sets. We take other people's Day to bring it in, combining with our own to do our own modeling. Then that goes out to provide some more for somebody else on. There's also issues about where data could exist, so there's a lot of very strict controls about the N. H s data. So health data, which so n hs England that can't then go out to Scotland on Booth. Sometimes the regulatory compliance almost gets sidelines with the excitement about research on way have quite a dichotomy of making sure that where we know about the data, that the appropriate controls are there and we understand it on Hopefully, people just don't go on, put it somewhere. It's not because some of the data sets for medical research, given the data which has got personal, identifiable information in it, that then has to be stripped out. So you've got an anonymous data set which they can then work with it Z assuring that the right data used the right information to remove so that you don't inadvertently go and then expose stuff s. So it's not just pure research on it going in this silo and in this silo it's actually ensuring that you've got the right bits in the right place, and it's being handled correctly >>to talk to us about has you know, as you pointed out, this massive growth and data volumes from a university perspective, health data perspective research perspective, the files are getting bigger and bigger In the time that you've started this foundation with combo in the last 9 10 years. Tremendous changes not just and data, but talking about complaints you've now got GDP are to deal with. Give us a perspective and snapshot of your of your con vault implementation and how you've evolved that as all the data changes, compliance changes and converts, technology has evolved. So if you take >>where we started off, we had a few 100 petabytes of disk. It's just before we migrated. Thio on Premise three Cloud Libraries That point. I think I got 2.1 petabytes of backup. Storage on the volume of data is exponentially growing covers the resolution of the instruments increases, so you can certainly have a four fold growth data that some of those are quite interesting things. They when I first joined the great excitement with a project which has just noticed Betty Colombo, which is the Mercury a year for in space agency to Demeter Mercury and they wanted 50 terabytes and way at that time, that was actually quite a big number way. We're thinking, well, we make the split. What? We need to be careful. Yes. Okay. 50 terrorizes that over the life of project. And now that's probably just to get us going. Not much actually happened with it. And then storage system changed and they still had their 50 terabytes with almost nothing in it way then understood that the spacecraft being launched and that once it had been launched, which was earlier this year, it was going to take a couple of years before the first data came back. Because it has to go to Venus. It has to go around Venus in the wrong direction, against gravity to slow it down. Then it goes to Mercury and the rial bolt data then starts coming back in. You'd have thought going to Mercury was dead easy. You just go boom straight in. But actually, if you did that because of gravity of the sun, it would just go in. You'd never stop. Just go straight into the sun. You lose your spacecraft. >>Nobody wants >>another. Eggs are really interesting. Is artfully Have you heard of the guy? A satellite? >>Yes. >>This is the one which is mapping a 1,000,000,000 stars in the Milky Way. It's now gone past its primary mission, and it's got most of that data. Huge data sets on DDE That data, there's, ah, it's already being worked on, but they are the university Thio task, packaging it and cleansing it. We're going to get a set of that data we're going to host. We're currently hosting a national HPC facility, which is for space research that's being replaced with an even bigger, more powerful one. Little probably fill one of our data centers completely. It's about 40 racks worth, and that's just to process that data because there's so much information that's come from it. And it's It's the resolution. It's the speed with which it can be computed on holding so much in memory. I mean, if you take across our current HPC systems, we've got 100 terabytes of memory across two systems, and those numbers were just unthinkable even 10 years ago, a terrible of memory. >>So Mark Lease and I would like to keep you here all way to talk about space, Mark todo of our favorite topics. But before we get towards the end, but a lot of changes, that combo, it's the whole new executive team they bought Hedvig. They land lost this metallic dot io. They've got new things. It's a longtime customer. What your viewpoint on com bold today and what what you've been seeing quite interesting to >>see how convoy has evolved on dhe. These change, which should have happened between 10 and 11 when they took the decision on the next generation platform that it would be this by industry. Sand is quite an aggressive pace of service packs, which are then come out onto this schedule. And to be fair, that schedule is being stuck to waken plan ahead. We know what's happening on Dhe. It's interesting that they're both patches and the new features and stuff, and it's really great to have that line to work, too. Now, Andi way with platform now supports natively stone Much stuff. And this was actually one of the decisions which took us around using our own on Prem Estimate Cloud Library. We were using as you to put a tear on data off site on with All is working Great. That can we do s3 on friend on. It's supported by convoy is just a cloud library. Now, When we first started that didn't exist. Way took the decision. It will proof of concept and so on, and it all worked, and we then got high for scale as well. It's interesting to see how convoy has gone down into the appliance 11 to, because people want to have to just have a box unpack it. Implicated. If you haven't got a technical team or strong yo skills in those area, why worry about putting your own system together? Haifa scale give you back up in a vault on the partnerships with were in HP customer So way we're using Apollo's RS in storage. Andi Yeah, the Apollo is actually the platform. If we bought Heifer Scale, it would have gone on an HP Apollo as well, because of the way with agreements, we've got invited. Actually, it's quite interesting how they've gone from software. Hardware is now come in, and it's evolving into this platform with Hedvig. I mean, there was a convoy object store buried in it, but it was very discreet. No one really knew about it. You occasionally could see a term on it would appear, but it it wasn't something which they published their butt object store with the increasing data volumes. Object Store is the only way to store. There's these volumes of data in a resilient and durable way. Eso Hedvig buying that and integrating in providing a really interesting way forward. And yet, for my perspective, I'm using three. So if we had gone down the Hedvig route from my perspective, what I would like to see is I have a story policy. I click on going to point it to s three, and it goes out it provision. The bucket does the whole lot in one a couple of clicks and that's it. Job done. I don't need to go out, create the use of create the bucket, and then get one out of every little written piece in there. And it's that tight integration, which is where I see benefits coming in you. It's giving value to the platform and giving the customer the assurance that you've configured correctly because the process is an automated in convoy has ensured that every step of the way the right decisions being made on that. Yet with metallic, that's everything is about it's actually tried and tested products with a very, very smart work for a process put round to ensure that the decisions you make. You don't need to be a convoy expert to get the outcome and get the backups. >>Excellent. Well, Mark, thank you for joining Student on the Cape Talking about tthe e evolution that the University of Leicester has gone through and your thoughts on com bolts evolution in parallel. We appreciate your time first to Minutemen. I'm Lisa Martin. You're watching the cue from combo go 19.

>> Produced from the Cube studios. This's strong by science, in depth conversations about science based training, sports performance and all things health and wellness. Here's your hose, Max Marzo. Thank you for being on two. Very, >> very excited about what we have going on for those of you not familiar with that Ella Keira, and I'm going to say his name incorrectly. Look here. Is that correct? Had >> the care is right. Very good. Yes. Also, >> I've practiced that about nineteen times. Oh, the other night, and I can't feel like I get it wrong and is one of the more well rounded individuals I've come across. His work is awesome. Initially learned quite a bit about him from Chase Phelps, who we had on earlier, and that came through Moore from blood flow restriction training. I've had the pleasure of reading up on quite a bit, and his background is more than unique. Well, around his understatement and really excited have on, I call him one of the most unique individuals people need to know about, especially in the sports science sylph sports science world. He really encompasses quite a bit of just about every domain you could think about. So add Thank you for being on here if you don't mind giving a little bit of background and a bio about yourself. >> Thanks so much. You know, not to. Not to warn anybody, really. But it kind of started as a front line medic in the Army. Really? You know, the emphasis back then was a get people back toe action as soon as possible. So that was my mindset. I spent about eight years in an emergency department learning and training through them. I undergo interviews and exercise physiology from University of California. Davis. I love exercise science. I love exercise physiology. Yeah, started doing athletic training because my junior year in college, I was a Division one wrestler. Tor my a c l p c l N L C E o my strength coach, chiropractor, athletic trainer all the above. Help me get back rustling within four months with a brace at a pretty high level of visual. On level on guy was like, Well, I don't want to go to med school, but what I want to do is help other people recover from injury and get back to the activities that they love. And so I was kind of investigating. Try to figure out what I wanted to do, Really want to be an athletic trainer? We didn't realize how much or how little money they make, um And so I was kind of investigating some other things. Checked out physical therapy, dentistry. But I really wanted to be in the locker room. I wanted to have my own practice. I wanted to be able to do what I wanted to do and not sit on protocols and things like that because I don't think that exists. And so I chose chiropractic school. I went to chiropractic school, learned my manual therapy, my manual techniques, diagnosis, loved it, was able to get patients off the street, didn't have tto live and die by insurance and referrals, was able only to open my own clinic. And and about four years in I realized that I didn't really know very much. I knew howto adjust people, and you had to do a little bit soft tissue. But not really. We weren't taught that I felt like my exercise background and really dropped off because I wasn't doing a lot of strength conditioning anymore. And so I went back and got a phD in sports medicine and athletic training. I had a really big goal of publishing and trying to contribute to the literature, but also understanding the literature and how it applies to the clinical science and clinical practice and try to bridge the gap really, between science and in the clinic and love treating patients. I do it every single day. A lot of people think I don't cause I write so much education, but, like I'm still in my clinic right now, twelve hours a day in the last three days, because it's what I love to dio on DH. Then just for kicks and giggles, I went out and got an MBA, too, so I worked in a lot of different environments. Va Medical System, twenty four hour Fitness Corporate I've consulted for a lot of companies like rock tape. It was their medical director. Fisma no trigger point performance. Have done some research for Sarah Gun kind of been able to do a lot with the phD, which I love, but really, my home base is in the clinic in the trenches, helping people get better. In fact, >> activity. That's awesome. Yeah, Tio coming from athletic training back on athlete. So I myself play I. Smit played small Division three basketball, and I'm a certified athletic trainer as well, and it's the initial love you kind of fall into being in that realm, and that's who you typically work with and then realizing that maybe the hours and the practice that they do isn't fit for you and finding ways you can really get a little more hands on work. I took the sports scientists route. It sounds like you're out has been just about everything and all the above. So it's great to hear that because having that well rounded profile, we weren't athlete. Now you've been in the medical side of the street condition inside even the business development side. You really see all domains from different angles. Now I know you are the educational director for smart tools with their blood flow restriction training chase. How younger? Very highly, uh, about your protocols. I've listened to some of them. If you don't mind diving into a little bit, what exactly is blood flow restriction training and what are the potential benefits of it? >> Yeah, you know it is about two thousand fourteen. I got approached by smart tools. They had developed the only FDA listed or at that point of FDA approved instrument assisted soft tissue mobilization tools other people like to call it, you know, basically grass in or whatever. Andi was really intrigued with what their philosophy wass, which was Hey, we want to make things in the US We want to create jobs in the U. S. And and we want to create the highest quality product that also is affordable for the small clinic. Whereas before the options Ray, you know, three thousand dollars here, two thousand dollars here on DH. So I wrote education for smart tools because of that, and because I just blot. I just believed so much in keeping things here in the U. S. And providing jobs and things locally. Um, so that's really where this all started. And in about two thousand fifteen, my buddy Skylar Richards up FC Dallas he has of the MLS. Yes, the the the lowest lost game days in the MLS. And yeah, I mean, when you think about that and how hard that is such a long season, it's such a grind is the longest season in professional sports. You think? Well, what is he doing there? I mean, I really respect his work up there. And so, like, you know, we were working on a project together and how I was fortunate enough to meet him. And I just really got to pick his brand on a lot of stuff and things I was doing in the clinic. And what could I do? Be doing better. And then one day it just goes, you know, have you seen this be afar stuff? And I'm like, No, I have no idea. It's your idea about it. And so, as usual at the science geek that I am, I went and I went to med sports discus. And I was like, Holy crap, man, I can't even I can't even understand how many articles are out there regarding this already. And this is back to you in two thousand fifteen, two thousand sixteen. I was so used to, you know, going and looking up kinesiology, tape research and being really bad. And you gotta kind of apply. You gotta apply a lot of these products to research. That's really not that strong. This was not the case. And so I brought it to neck the CEO of startles. And like, Dude, we've really got a look at this because really, there's only one option, and I saw the parallels between what was happening with Instrument assisted where there wasn't very many options, but they were very, very expensive and what we could do now with another thing that I thought was amazing. And it wasn't a passive modality because I was super excited about because, you know, I had to become a corrective exercise specialist because I knew I didn't have enough time with people to cause to strengthen hypertrophy. But be afar allows me to do that. And so that's really where I kind of switched. My mind went well, I really need to start investigating this and so to answer your question. VFR is the brief and in tremendous occlusion of arterial and venous blood flow, using a tourniquet while exercising at low intensities or even at rest. And so what that means is we basically use it a medical grade tourniquet and restrict the amount of oxygen or blood flow into a limb while it's exercising and totally including Venus, return back to the heart. And what this does is the way that explains my patients. Is it essentially tricks your brain into thinking you're doing high intensity exercise. But you're not and you're protecting tissue and you don't cause any muscle damage that you normally would with high intensity exercise or even low intensity exercise the failure. And so it works perfectly for those people that we can't compromise tissue like for me in a rehab center. >> Gotcha. Yeah, no, it's It's a super interesting area, and it's something that I have dove into not nearly as much as you have. But you can see the benefits really steaming back from its origins right when it was Katsu train in Japan, made for older adults who couldn't really exercise that needed a fine way to induce hypertrophy now being used to help expedite the healing process being used in season after ah, difficult gamed and prove healing, or whether it's not for whether or not it's used to actually substitute a workout. When travel becomes too demanding, toe actually load the system now with B f ar, Are you getting in regards to hypertrophy similar adaptations? Hypertrophy wise. If you were to do be a far with a low low, say, twenty percent of your one right max, compared to something moderately heavier, >> yeah, or exceeds in the time frame. You know, true hypertrophy takes according to the literature, depending on what reference you're looking at at the minimum, twelve weeks, but more likely sixteen weeks. And you've got to train at least sixty five percent. Or you've got to take low intensity loads to find his twenty to thirty five percent of one read max all the way to failure, which we know causes damage to the tissue be a farce. Starts to show hypertrophy changes that we two. So you know, my my best. My so I this It's kind of embarrassing, but it is what it is. But like, you know, I started learning mother our stuff. I'm a earlier Dr. Right? So I go right away and I go by the first product, I can. I have zero idea what I'm doing there. Zero like and a former Mr America and Mr Olympia Former Mr America champion and the one of the youngest Mr Olympia Tze Hor Olympia Mr Olympia ever compete. He competed and hey didn't stand But anyway so high level bodybuilder Okay, whatever you us. But he was definitely Mr America. He comes into my clinic when I was in Denver, It was probably a neighbour of you at the time, and he and he's like, Okay, I got this pain in my in my tryst up. It's been there for six months. I haven't been able to lift this heavy. My my arm isn't his biggest driving me crazy, right? The bodybuilder, of course, is driving him crazy, so I measure it. He's a half inch difference on his involves side versus on uninvolved side. I diagnosed him with Try some tendinitis at zero idea what I'm doing and be a far. But I said, Listen, I want you to use these cuffs. I got to go to Europe. I gotta go lecture in Europe for a couple weeks and I want you two, three times a week. I want you to do three exercise. I like to use the TRX suspension trainer. I've done a lot of work with them, and I really respect their product and I love it for re up. So I said, Listen, I want you three exercises on the suspension trainer I want to do is try to do a bicep. I want to do some, you know, compound exercise, and in that case I gave, Melo wrote, Come back in two weeks. He comes back in the clinic. I remember her is involved. Side was a quarter of an inch larger than his uninvolved type, and he's like, Do, That's two weeks. I'm like, Dude, that's two weeks And he's like, This is crazy and I go, Yeah, I agree. And since then, I've been, like, bought it like it's for hypertrophy. It is unbelievable. You get people that come in and I've had, you know, like after my injury in college rustling I my a c l I've torn it three times. Now, you know, my quad atrophy was bad. My calf was not the same size, literally. Symmetry occurs so quickly. When you start applying these principles, um, it just blows me away. >> So when you're using it, are using it more and isolated manner or are doing more compound exercises. For example, if you're doing a C l artifically assuming they're back too full function ish, Are you doing bodyweight squads or that starting off with the extensions? How do you kind of progress that up program? >> Yeah, it really just depends on where they're at. Like, you know, day with a C l's. You can pretty much start if there's no contraindications, you convey. Stay docks. Start day one. I'm right after surgery to try to prevent as much of that quad wasting that we get from re perfusion, injury and reactive oxygen species. All the other things that occur to literally day one. You can start and you'LL start isolated. You might start with an isometric. I really do like to do isometrics early on in my in my rehab. Um, and you can use the cops and you can You can fatigue out all the motor units if they're not quite air yet. Like, let's say, pre surgically, where they can't use the lamb, they're in a they're either bedridden or they're in a brace or they're a cast. You can use it with electric stim and or a Russian stem. And with that contraction, not only did you drive growth hormone, but you can also prevent atrophy by up to ninety, ninety five percent so you can start early early on, and I like to call it like phases of injury, right? Like pre surgical or pre injury, right at injury, you kind of get into the sub acute phase of inflammation. You kind of progressed isolated exercises and he goingto isolated in compound and you going to compound in any kind of move through the gamut. What's so cool about the afar is you're not having to reinvent the wheel like you use the same protocols, even use. I mean, really. I mean, if you're using lightweight with sarabande or resistance to being which I do every day, I'd be a far on it. Now, instead of your brain thinking you're not doing anything, your brain's like whoa, high intensity exercise. Let's let's help this tissue recovered because it's got to get injured. So we're gonna grow. >> That's yeah, that's pretty amazing. I've used it myself. I do have my smart tools. I'm biased. I like what you're doing. I really like the fact that there's no cords. It's quite mobile, allows us to do sled pushes, resisted marches, whole wide span and movements on DH before we're kind of hopped on air here. You're talking about some of the nutritional interventions you add to that, whether it be vitamin C college in glucose to mean. What specifically are you putting together on DH? Why're you doing that? Is that for tissue healing? >> Yeah, that's right. It's way. Have ah, in my clinic were Multidisciplinary Clinic in Dallas, Texas, and called the Body Lounge is a shameless plug, but way really believe that healing has to start from the inside, that it has to start with the micro nutrients and then the macro nutrients. And then pretty much everything can be prevented and healed with nutrition and exercise. That's what we truly believe, and that's what we try to help people with. The only thing that I use manual therapy for and I do a lot of needling and all these other things is to help people get it down there. Pain down enough so that they can do more movement. And so, from a micro nutrient standpoint, we've gotta hit the things that are going to help with college and synthesis and protein sentences, So that would be protein supplementation that would be vitamin C. We do lots of hydration because most of us were walking around dehydrated. If you look at some of the studies looking at, you know, even with a normal diet, magnesium is deficient. Vitamin C is deficient during the winter all of us are vitamin D deficient Bluetooth. I own production starts, you know, basically go to kneel. So all those things we we will supplement either through I am injection intramuscular injection or through ivy >> and you guys take coral. Someone's on that, too for some of the good Earth ion for the violent de aspects are taking precursors in a c. Are you guys taking glue to file? >> We inject glorify on either in your inner, either in your i V or in in the I am. You know, with the literature supporting that you only absorb about five to ten percent of whatever aural supplementation you take. We try to we try to push it. I am arrive. And then in between sessions, yes, they would take Coral to try to maintain their levels. We do pre, you know, lab testing, prior lab testing after to make sure we're getting the absorption rate. But a lot of our people we already know they don't absorb B twelve vitamin, and so we've got to do it. Injectable. >> Yeah, Chef makes sense with the B f r itself. And when I get a couple of questions knocked out for I go too far off topic. I'm curious about some of these cellars swelling protocols and what that specifically is what's happening physiologically and how you implement that. >> Yeah, so South Swell Protocol, where we like to call a five by five protocol way. Use the tourniquet. It's in the upper extremity at fifty percent limb occlusion pressure at eighty percent limb occlusion pressure in the lower extremity. You keep him on for five minutes, and then you rest for three minutes, meaning I deflate the cuffs. But don't take them off, and then I re inflate it same pressure for five minutes and then deflate for three minutes. You're five on three off for five rounds, justified by five protocol. What's happening is that you're basically you're creating this swelling effect because, remember, there's no Venus return, so nothing is. But you're getting a small trickle in of fluid or blood into that limb. And so what happens is the extra Seiler's extra Styler swelling occurs. Our body is just dying for Homo stasis. The pressures increase, and there's also an osmotic uh, change, and the fluid gets pushed extra. Sara Lee into the muscle cell body starts to think that you're going to break those muscle cells. I think of it as like a gay. A za water balloon is a great analogy that I've heard. So the water balloon is starting to swell that muscle cell starts to swell. Your body thinks your brain thinks that those cells need to protect themselves or otherwise. They're going to break and cause a popped oh sis or die. And so the response is this whole cascade of the Mt. Horsey one, which is basically a pathway for protein synthesis. And that's why they think that you can maintain muscle size in in inactive muscle through the South Swell Protocol and then when we do this, also protocol. I also like to add either isometrics if I can or if they're in a cast at electric stim. I like to use the power dot that's my favorite or a Russian stim unit, and then you consent. Make the setting so that you're getting muscular. Contraction with that appears to drive growth forma, and it drives it about one and a half times high intensity exercise and up to three times more so than baseline. When we have a growth hormone spurt like that and we have enough vitamin C. It allows for college and synthesis. I like to call that a pool of healing. So whether you can or cannot exercise that limb that's injured if I can create that pool of healing systemically now I've got an environment that can heal. So I have zero excuse as a provider not to get people doing something to become, you know, healing faster, basically. And are you >> typically putting that at the end? If they were training? Or is that typically beginning? We're in this session I put in assuming that that is done in conjunction with other movements. Exercises? >> Yeah, so, like, let's say I have a cast on your right leg. You've got a fracture. I failed to mention also that it appears that the Afar also helps with bone healing. There's been a couple studies, Um, so if we could get this increased bone healing and I can't use that limb that I'm going to use the other lambs and I'm going to use your cardiovascular function, um, I'm going to use you know, you Let's say with that leg, I'LL do upper body or a commoner with cuffs on in order to train their cardiovascular systems that way. Maintain aerobic capacity while they're feeling for that leg, I will do crossover exercises, so I'll hit that opposite leg because something happens when I use the cuffs on my left leg. I get a neurological response on my right leg, and I and I maintain strength and I reduced the amount of atrophy that occurs. And it's, you know, it's all in neurological. So if I had an hour with somebody and I was trying to do the cell school protocol, I would probably do it first to make sure because it's a forty minute protocol. It is a long protocol. If you add up five, five minutes on three minutes off now, during the three minutes off, I could be soft tissue work. I can do other things toe help that person. Or I could just have an athletic tournament training room on a table, and they can learn to inflate and deflate on their own. It doesn't like it's not has to be supervised the whole time, and that's usually what they do in my office is I'LL put him in the I V Lounge and i'Ll just teach them how to inflate deflate and they just keep time. Uh and there, go ahead. I mean, interrupt my bowl. No, no, no, it's okay. And then I just hit other areas. So if I do have extra time, then I might Do you know another body pushing upper body pole? I might do, you know, whatever I can with whatever time I have. If you don't have that much time, then you do the best you can with the cells for protocol. And who study just came out that if you only do two rounds of that, you don't get the protein synthesis measured through M. Dorsey long. So a lot of times, people ask me what can I just do this twice and according to the literature looks like No, it's like you have to take it two five because you've got to get enough swelling to make it to make the brain think that you're gonna explode >> those muscle cells. >> Well, let me take a step back and trap process majority of that. So essentially, what you do with the seller swelling protocol is that you initiate initiating protein synthesis by basically tripping the body that those cells themselves are going to break down. And then when you add the message of the electrical muscular stimulation, you're getting the growth hormone response, the otherwise wouldn't. Is >> that correct? That's correct. So and go ahead. So imagine after a game, I just you know, I'm Skyler Richards. I just got done with my team. Were on the bus or on the airport, our airplane. My guys have just finished a match. You know, you're Fords have run seven miles at high intensity sprint. You think we have any muscle breakdown? Probably have a little bit of damage. They gotta play again in a few days, and I want to do things to help the recovery. Now I put them on with East M. They're not doing any exercise. There's just chilling there, just hanging out. But we're getting protein synthesis. We're getting growth hormone production. I give him some vitamin C supplementation. I give him some protein supplementation, and now not only do we have protein census, but we also have growth hormone in college, in formation in the presence of vitamin C. So that's where we kind of get into the recovery, which chase is doing a >> lot of work with and how much vitamin C are supplemented with, >> you know, really depends. I try to stick to ride around in a new patient. I won't go start off three thousand and I'LL go to five thousand milligrams. It will cause a little dirty pants if I can quote some of my mentors so I try to start them light and I'll move them up I'LL go with eyes ten thousand if I need it but typically stay in the three to five thousand range >> And are you having collagen with that as well? >> I personally don't but I think it would be a good idea if he did >> with some of that. I guess I really like the idea of using the B f R a zit on the opposite lake that's injured to increase cortical drive. So we're listeners who aren't familiar when you're training one limb yet a neurological phenomenon that occurs to increase performance in the other limb. And so what ends referred to if you had one lamb that was immobilizing couldn't function. If you use BF are on the other limb, you're able to stimulate, so it's higher type to voter units able have a cortical drive that near maximal intent, which is going to help, then increase the performance of the other leg that you also say that is promoting this positive adaptation environment is kind of hormonal. Malu I per se How long does that last for the presence of growth hormone? >> It looks like that the stimulation last somewhere between forty eight and seventy two hours. And so I think that that's why when they've done studies looking at doing the afar for strength of hypertrophy, you know, five days a week, compared to two to three days a week for two to three days a week, or just essentially equal to the five days a week. So I think it is long enough that if you do it like twice a week that you're going to get enough cross over >> cash it and you're using it two for the anthologies of effect. So what do you using Be fr yu have that temporary time period of time window where a need that might be bothering your doesn't irritate as much. And are you using that window than to train other exercise and movements while they have, ah, pain for emotion. >> Yeah, absolutely. So it's and I really can't explain it. It's, um we know from the science that it doesn't matter what type of exercise that we do. There is an animal Jesus effect. And that's why I emphasized so much with provider, especially manual therapists attend to think, Hey, you know, my my hands or my needles or my laser or my ultrasound or East them or whatever it is, is the healing driver. It's not the healing driver exercises a healing driver, and I know that's my opinion and people argue with me. But it's true. My hands are not nearly as important as getting people moving because of the energies that perfect and just overall health effects. With that said, the Afar has some sort of Anil Jesus effect that I can't explain now. Of course, we all know it's in the brain. There's something that goes on where you're able to reduce the pain level for up to forty five minutes and then I can train in that window. There is an overall ability to improve people's movement even longer than that, to what I find is that once I get people moving their tenancy just like inertia. Once you get to move in, it keeps moving. Same thing with people that I work with. They tend to get moving more in my clinic. They get confidence, then they end up moving more and more and more. And they get away from, um, being >> scared. Yeah, I know that. That's a great way to put it, because you do have that hesitation to move. And when you providing a stimulus that might ease some of the pain momentarily. I know there is some research out there. Look at Tanaka Thie, the ten apathy being like knee pain, essentially the layman's term kind way to put it. And they're doing it with, like the Metrodome in the background going Ping Ping ping. They're having that external stimulus that they focus on to help disassociate the brain and the knee and the pain. And this is something I can't top what chase and how he says. Yeah, we've been using, like you alluded to Thebe fr, too. Remove the presence of pain so they can do something. These exercises that they typically associate with pain in a pain for your way. >> Yeah, And then now that they're exercising now you get the additional Anil Jesus effect of the exercise itself. Says I'm like a double like a double lang >> Gotcha. Yeah, with blood flow restriction train because it does promote such an environment that really has an intense Jane court stimulus to the body where you get this type to five or stimulated high levels of lactate high levels of metabolite accumulation. I said she had paper about the possible use of bloodflow restriction trading cognitive performance has curious if you had a chance account dive into some of that. I love to hear some of your thoughts being that you have such asshole listed view of everything. >> Yeah, definitely. I think I didn't get a chance to look at it. I appreciate you sending that to me because I have to lecture and may on reaction times, and I was trying to figure out how I'm gonna like include the afar in this lecture at some point, not be totally, you know, inauthentic. But now I can. So I totally appreciate it. I know that there is, and I know that there's an additional benefit. I've seen it. I've worked with stroke patients, other types of people that I have auto, immune, disease, different types of conditions where I've used the Afar and their functional capacity improves over what their physical capacity is doing on. And so I am not surprised at what I'm seeing with that. And I've got to learn more about what other people are thinking. It was interesting what you sent me regarding the insulin growth factor one. We know that that's driven up much higher with the Afar compared to low intensity exercise and the relationship between that and cognitive function. So I've gotta dive deeper into it. I'm not definitely not a neuroscientists, You know, I'm like a pretty much floor if I p e teacher and, you know, just trying to get people moving. And I've gotta understand them more because there is a large association between that exercise component and future >> health, not just of muscles but also a brain. Yeah, >> one of things that I do work with a neurosurgeon and he's awesome. Dr. Chat Press Mac is extremely intelligent, and he saw the blood flow restriction trade as one those means to improve cognitive performance, and I didn't find the paper after he had talked about it. Well, the things that interested me was the fact that is this huge dresser, especially in a very controlled where typically, if you're going to get that level of demand on the body, you knew something very intense. So do something that is almost no stress, Feli controlled and then allowing yourself to maybe do some sort of dual processing tasks with its reaction time and reading for use in a diner vision board. Whether if you have a laser on your head, you have to walk in a straight line while keeping that laser dot on a specific screen. I'm excited to see how be afar material or just something other domains. Whether it is, you know, motor learning or reeducation ofthe movement or vestibular therapy. I think this has a very unique place to really stress the body physiologically without meeting to do something that requires lots of equipment for having someone run up and down with a heavy sled. I'd be curious to hear some of your thoughts. I know you haven't had a huge opportunity dive into, but if I had a hand, you the the key to say Hey What do you see in the future for be fr in regards to not just the cognitive standpoint but ways you can use B a far outside of a physical training area. What kinds? Specific domains. You see it being utilised in >> we'LL definitely recovery. I love the fact of, you know, driving growth hormone and supplement incorrectly and letting people heal faster naturally. Ah, I think the ischemic preconditioning protocol is very underutilized and very not known very well, and he's skimming. Preconditioning is when we use one hundred percent occlusion either of the upper extremity or the lower extremity. We keep it on for five minutes and we do two rounds with a three minute rest in between. And I have used this to decrease pain and an athlete prior to going out and playing like a like a high level sport or doing plyometrics. We're doing other things where they're going to get muscle damage to that eye intensity exercise so you get the Anil Jesus effect around an injured tissue. But they really unique thing about the ischemic preconditioning is that it has been shown to reduce the amount of muscle damage that occurs due to the exercise. That's why they call it Preconditioning so we can utilize a prior to a game. We can use a prior to a plyometrics session. We can use it prior to a high intensity lifting session and reduce the amount of damage that occurs to the tissue. So we don't have such a long recovery time when we could continue to train at high levels. I think that that is probably the most exciting thing that I've seen. Absent of cognitive possibilities, I think it wise it on is I'd like to use with the lights. What do some lights? Teo, do some reaction time and do some, you know, memory training and things. And I love to torture my people and get them nice and tired. I think what's going to come around is all these mechanisms. They are what they are. But the true mechanism that I'm seeing is that fatigue is the primary factor. If I can fatigue you centrally and Aiken fatigue, you peripherally and the muscle that's for the adaptation occurs So although right now you know we always are on these. We have to use the specific sets and rats and weights and all these other things so true for the research, because we need to make it is homogenous as we can, but in clinic, if you're a patient, comes to me with a rotator cuff tear. I don't know what you're on, right, Max is for your external rotation. I've gotta guess. And so if I don't do exactly the right amount of weight, doesn't mean I'm not getting the benefit. Well, I'm telling you, anecdotally, that's not true. I just know that I have to take you to fatigue. And so if I'm off by a couple of wraps a big deal, I'm just not going to take you to failure. So I don't get the injury to the tissue that you normally would occur with lightweight to failure. I'm gonna get that fatigue factor. I'm going to get you to adapt, and I'm gonna get you bigger and stronger today than you were yesterday. That's the >> goal. Yeah, that's ah, that's a great way to put it because you're looking at again, you know, mechanisms in why things are occurring versus, you know, being stuck to literature. I have to use twenty percent. How do we find a way to fatigue this system and be fr being a component of that now, outside of blood flow research in train with your practice, it sounds It is quite holistic. Are there any specific areas that you see the other? That was other therapists other, You know, holistic environments could learn from outside of blood flow restriction training. What areas could they really? You know what advice such a safer that I would you give someone who's tried together holistic program to dive into outside of Sebi Afar? Is there any specific devices specific modalities supposed to specific means for a nutrition for that? >> I mean, if I was to try to put us you know what we're trying to dio. I would say that it's all about capacity versus demand. I want to try to maximize the capacity of the individual or the organism to exceed the demands that you're trying to apply to it. If we can do that, will keep you injury free will keep forming. If I allow those demands to exceed your capacity, you're going to get injured. So what can I do to maximize your capacity through nutrition, through exercise, through rest, through meditation, through prayer, through whatever that is through sleep? I think that that's really looking at the person as a whole. And if I can keep thinking about what are the demands that I'm applying? Teo, whatever tissue that is, and I can keep those demands just slightly below and try to increase the capacity, I'm going to get people better. And really, that's all I think about. Can that disk take how much pressure cannot take and what direction can I take it? Well, I'm gonna work at that direction and so we can do a little bit more and a little bit more and a little bit more, and I try to really make it simple for myself versus Reliant on a modality or anything else in that matter. Really, it's It's really just thinking about how much How much can they How much can they tolerate? And I'm goingto put restrictions on you so that you don't exceed that capacities That way that tissue can heal. And if it can't and you know, maybe that's referral to you know, some of the surgeons are non surgical positions that I work with is they may be fail my treatment. Most people can improve their capacity. We've seen eighty five year olds, Not just me, I'm saying in the literature. Improve their strength through resistance training. Eighty five. The body will always adapt. Ware not weak beings were not fragile, Weaken De stressed and we need to be stressed and we need to be stressed until the day that you put me in the grave. Otherwise we will get Sir Compagnia and we will degrade and our brain will become mush. And I just want to go that way. And I want help as many people that have the same philosophy, whether I'm doing it, one on one with somebody from teaching others. I want them now The same philosophy, Tio >> well, that makes total sense. I love the idea of we need to continually stress ourselves because do you feel like as we age, we have a Smith or belief that we can't do more, but we can't do more because we stopped doing more? Not because we can't. I work with an individual who are hey, hip replacement. Ninety six years old. He came back and four months later was working out again. And that alone was enough evidence for me to realize that it's not necessarily about, Oh, as I get older, I have to be this and we kind of have that thought process. As we age, we do less so we start to do left but find ways to stress the system in a way that can handle it right to the idea. What is the capacity, like you said? And what is their ability to adapt? Are there any specific ways that you assess an individual's capacity to handle load? Is that a lot of subject of understanding who they are? Further any other metrics you using whether we sleep tracking H R V for anything in that domain? >> I have not really done a lot of a lot of that. It's more about, you know what they tell me they want to do. You know you want to come in and you want a lift. Your grandkid. Well, that's That's our That's our marker. You want to come in and you want to do the cross that open. Okay, well, that's your marker. You want to come in, you want to run a marathon. That's your marker. You know, we could always find markers either of activities of daily living or they could be something out there. That's that's that. That's a goal. You know, Never don't half marathon, and I want to do that. So those were really the markers that I use haven't gotten into a lot of the other things. My environment, you >> know? I mean, I would love to have ah, >> whole performance center and a research lab and all that stuff and then, you know, maybe someday that with what I have and what I work with, it's it's more about just what the person wants to do and what is something fun for them to do to keep them active and healthy and from, and that really becomes the marker. And if it's not enough, you know, somebody had a e r physician committee as well. You know, I walk, you know, twenty or thirty minutes and then I walked, you know, at work all day. And I'm like Did It's not enough. And I sent him some articles that looking at physiological adaptation to walking and he's like, Yeah, you're right, it's not enough that I'm like, you know, we're a minimalist. Were like Okay, well, this is the vitamin C you need in order to be healthy, not the recommendations are so you don't get scurvy. A lot is a big difference between, you know, fending off disease versus optimal health. I'm out for optimal health, So let's stress the system to the point where we're not injuring ourselves. But we are pushing ourselves because I think there's such a huge physiological and but also psychological benefit to that. >> Yeah, this that's a great way to put it riff. Ending off disease, right? We're not. Our health care system is not very proactive. You have to have something go wrong for your insurance to take care of it. It's very backwards. That's unfortunate. Then we would like to be like. It's a place where let's not look at micro nutrients and you what were putting in her body as a means to what he says you avoided and scurry. Well, let's look at it from way to actually function and function relative to our own capacity in our own goals. Um, with that, are you doing blood work? I'm assuming of some sort. Maybe. >> Yeah, we do. Labs. Teo, look, att. A variety of different things. We don't currently do Hormonal therapy. We've got some partners in town that do that. We decided we wanted to stay in our lane and, you know, really kind of stick to what we do. And so we refer out any hormonal deficiencies. Whether you need some testosterone growth hormone is from other things. Estrogen, progesterone, whatever s. So we're not doing that currently, and we don't see ourselves doing that because we have some great partners that you a much better job than we would ever do. So I'm also a big believer in stay in your lane, refer out, make friends do whatever is best for the patient of the client. Um, because there's that pays way more dividends them than trying to dio everything you know all announce. Unless you have it already in the house that has a specialty. Yeah. No, that >> makes sense to find a way to facilitate and where you can excel. Um >> and I >> know you got a lot of the time crunch here. We have the wrap it up here for people listening. Where can we find more out about yourself? Where can we listen to you? What social media's are you on and one of those handles >> So instagram I'm under just my name Ed. Look, terra e d l e c a r a Facebook. Same thing. Just Ed. Look era Twitter and la Cara. Everything's just under Everclear. Really? Every Tuesday I do would be a far I call it BF our Tuesday I do kind of a lunch and learn fifteen twenty minutes on either a research article or protocol. If I got a question that was asked of me, I'll answer it on DH. That's an ongoing webinar. Every Tuesday I teach live be If our course is pretty much all over the world, you can go to my website at like keira dot com or d m e on any of the social media handles, and I'LL be happy to respond. Or you could just call my client body Launch Park City's dot com and give me a call >> and you're doing educational stuff that's on the B Afar Tuesday and your webinars well are those sign up websites for those, And if so, is it under your website and look era dot com? >> Uh, that's a great point. I really should have it home there. It's if you go on my social media you you'LL see it was all announced that I'm doing No, you know, whatever topic is I try to be on organized on it. I will put a link on my website. My website's getting redone right now, and so I put a link on there for be If our Tuesday under I have >> a whole >> be fr. It's called B F, our master class. It's my online BF our course on underneath there I'LL put a link. Tio might be a far Tuesdays >> gadget. Is there anything you wanna selfishly promote? Cause guys, that is an amazing resource. Everything he's talking about it it's pretty much goal anyway, You can hear more about where you work out any projects, anything that you'd be wanting others to get into or listen to that you're working on that you see, working on the future or anything you just want to share. >> I'm always looking at, you know, teaching you no more courses like love teaching. I love, you know, doing live courses. Esso I currently teach to be if our course I teach the instrument assist. Of course. Programming. I teach a, uh, a cupping movement assessment and Fossen course. So any of those things you can see on my website where I'm gonna be next? We're doing some cool research on recovery with a pretty well known pretty, well known uh, brand which I hope we'll be able to announce at some point. It looks like the afar Mike increased oxygenation in muscle tissue even with the cuffs on. So it looks like it looks like from preliminary studies that the body adapts to the hypoxic environment and my increased oxygenation while the cuffs are on. I'll know more about that soon, but that's pretty exciting. I'Ll release that when I when I can you know? Other than that if I can help anybody else or help a friend that's in Dallas that wants to see me while I'm here. I practiced from seven. AM almost till seven. P. M. Every night on. I'm also happy to consult either Via Skype. Er, >> um, by phone. >> Gosh. And you smart tools use a dotcom. Correct for the CFR cuffs. >> Yeah, you can either. Go toe. Yeah, you can go to my side of you connect with me. If you want to get it, I can get you. Uh, we could probably do a promotional discount. And if you want to get some cups but smart tools plus dot com is is the mother ship where we're at a Cleveland our We're promoting both our live courses and are and our material in our cups. >> I can vouch them firsthand. They're awesome. You guys do Amazing work and information you guys put out is really killer. I mean, the amount of stuff I've been able to learn from you guys and what you've been doing has helped me a ton. It's really, really awesome to see you guys promoting the education that way. And thank you for coming on. I really appreciate it. It was a blast talking Teo again. Guys, go follow him on Instagram. He's got some amazing stuff anyway. You can read about him, learn about him and what he's doing. Please do so and thank you. >> Thank you so much. I really appreciate it a lot of spreading the word and talking to like minded individuals and making friends. You know that I have kind of this ongoing theme of, you know, it's all about, You know, there's two things that we can control in our life. It's really what we put in our mouths and how much we move and people like you that air getting the word out. This information is really important that we've got to take control of our health. We're the only ones responsible. So let's do it. And then if there's other people that can help you reach out to them and and get the help you need. >> Well, that's great. All right, guys. Thank you for listening. Really Appreciate it. And thank you once again

>> Hello everyone. Welcome to this CUBE conversations here in Palo Alto, California John Furrier, host of the Cube. I'm here with Jagane Sundar CTO chief technology officer of WANdisco, you get great to see you again. Place we're coming on. >> Thank you for having me, John. >> So the conversation I want to talk to about the technology behind WANdisco and we've had many conversations. So for the folks watching good, our YouTube channel insurgency the evolution of conversations over, I think. Eight, eight, nine years now we've been chatting. What a level up. You guys are now with cloud big announcements around multi cloud live data in particular. So the technology is the gift that keeps giving for WANdisco you guys continuing to take territory now, a big way with cloud, big growth, A lot of changes, a lot of hires. What's going on? >> So, as you well know, WANdisco stands for wide area network distributed, computing on the value ofthe the wide data network aspect is really shining through now because nobody goes to the cloud saying, I'm going to put it in one data center. It's always multiple regions, multiple data centers in each region. Suddenly, problem of having your data consistent, being across multiple cloud windows are on prem to cloud becomes a real challenge. We stepped in. We had something that was a good solution for small users, small data. But we developed it into something that's fantastic for large data volumes on people are running into the problem. The biggest problem that IT providers have is that data scientists do not respect data that's not consistent. If you look at a replica of data and you're not sure whether it's exactly accurate or not the data scientists who spent all his time building algorithms to predict some model gonna look at it and go, that data's not quite right. I'm not going to look at it. So if you use a inconsistent tool or an inadequate tool to replicate your data, you have the problem that nobody is going to respect the replicas. Everybody's going to go back to the source of truth. We solved that problem elegantly and accurately >> State the problem specifically. Is it the integrity of the data? What is the specific problem statement that you guys solve with technology? >> Let me give you an exam you have notifications that come out of cloud object stores when an object this place into the store or deleted from the store that the best effort delivery. If there are logjams in this mechanism used to deliver some notifications, maybe drop the problem with using that notification mechanism to replicate your data is that over a period of time, so you have two three petabytes of data and you're replicating it over a month or month and a half, you'll find that maybe point one percent of your data is not quite accurate anymore. So the value ofthe the replicas essentially zero >> like a leaky pipe. Basically, >> indeed, if you have a leaking pipe, then it's just totally >> we need to have integrity and to end. All right, let's get back to some of the things I want to ask because I think it's a fascinating been following your story. For years, you had a point solution. Multiple wider. You had the replication active, active great for data centers. So disaster recovery not mission critical, but certainly critical. Correct, depending on how it the mission of us. It wasn't this asked Income's Cloud. You mentioned a wide area. Networks and you go back to the old days when I was breaking into the business. That's when they had, you know, dial up modems and front pagers. Not even cell phones. Just starting. Why do your network would have really complicated beast and all the best resource is worked on expensive bandwith, that he had remote offices and you had campus networking then. So why the area networking went through that phase one? Correct. Now we're living in. They win all the time. Cloud is when white area >> correct cloud is when. But there are subtle aspect that people miss all the time. If you go to store an object in Amazon, says three, for example, you pick a region. If it's a complete wide area distributed entity, why do you need to pick a region? The truth is, each cloud vendor hides a number of region specific or local area network specific aspects of their service. Dynamo DB runs and one data centre one one region, two or three availability zones in a region. If you want to replicate that data, you don't really have much help from the cloud vendor themselves. So you need to parse the truth from what has offered what you will find us. The van is still a very challenging problem for a lot of these data application problems. >> Talk about the wide area network challenges in the modern era we're living in, which is cloud computing mentioned some of the nuances around regions and availability zones. Basically, the cloud grew up as building blocks and the plumbing on the neither essentially a mai britt of of certain techniques and networking. Local area network V lands tunneling All these stuff Nets router. So it's obviously plumbing. Yes, what's different now that's important to take that to the next level. Because, you know, there are arguments that saying, Hey, GPR, I might want to have certain regions be smarter, right? So you're starting to see a level up that Amazon and others air going. Google, in particular, talks about this a lot as Ama's Microsoft. What's that next level of when, where the plumbing it's upgraded from basically the other things. >> So the problem really has to be stated in terms ofthe your data architecture. If you look at your data on, figure out that you need the set of data to be available for your business critical applications, then the problem turns into. I need replicas of this data in this region and the other reasons, perhaps in two different cloud render locations because you don't want to be tied down to their availability. One cloud vendor, then the problem tones into How do you hide the complexity of replicating and keeping this data consistent from the users of the data data scientists, the application authors and so on. Now, that's where we step in. We have a transparent replication solution that fits into the plumbing. It's often offered by the IT folks as part of their cloud offering or as part of the hybrid offering. The application. Developers don't really need to worry about those things. A specific example would be hive tables that are users building in one data center an IT Professional from that organization can buy our replication software. That table will be available in multiple data centers and multiple regions available for both Read and write. The user did not do anything or does not need to be a there. So if you have problems such as GDPR requires the data to be here. But this summarized data can be available across all of these regions. Then we can solve the problem elegantly for you without any act application rewiring or reauthoring. >> Talk about the technology that makes all this happen again. This has been a key part of your success that WANdisco love the always love the name wide area there was a big wide area that were fan did that in my early days configuring router tables. You know how it has been. You know, hardcore back then, Distributed systems is certainly large. Scale now is part of the clouds. So all the large scale guys like me when we grew up into computer science days had to think about systems, architecture at scale. We're actually living it now, Correct. So talk about the technology. What specifically do you guys have that that that's your technology and talk about the impact to the scale piece. I think that's a real key technology piece >> indeed. So the core of our algorithm is enhancements and superior implementation. Often algorithm called paxos. Now paxos itself is the only mathematically proven algorithm for keeping replicas in multiple machines or multiple regions. So multiple data centers the other alternatives. Such a raft and zookeeper protocol. These are all compromises for the sake of the ease of implementation. Now we don't feel the cost of implementation. We spent many years doing the research on it, so we have fantastic implementation. Of paxos is extended for use over wide data networks without any special hardware I mentioned without any special hardware piece, because Google Spanner, which is one of our primary competitors, has an implementation that that needs your own specific network and hardware. So the value of >> because they're tired, the clock, atomic clock, actually, to the infrastructure of their timings, that's all synchronized. So it's it's only within Google Cloud? >> Exactly. It cannot even be made available to Google's customers of Google Cloud. That was a feature that they added recently, but it's rolling out in very limited. >> They inherited that from their large scale correct Google. Yes, which is a big table spanner. These are awesome products. >> These are awesome products, but they're very specific >>Tailored for Google. >> Yes, they're great in the Google environment. They're not so great outside of Google. Now we have technology that makes you able to run this across a Google Cloud and Microsoft's Cloud and Amazons Cloud. The value of this is that you have truly cloud neutral solutions. You don't need to worry about when the lock in, you don't need to worry about availability problems in one of the cloud vendors and then you can scale your solution. You can go in with an approach such that when the virtual machines or the compute resource is in one cloud vendor are really inexpensive. Will use that when it's very expensive. Will move our workloads to other locations. You can think up architectures like that, with our solution underpinning your replication >> rights again. I'm gonna ask you the technical quite love these conversations get down and dirty on the hood. So Joel Horowitz was on your new CMO former Microsoft. Keep alumni Richard CEO Talk aboutthe. Same thing. Moving data around the key value probably that's tied right into your legacy of your I P and how that value is with integrity. Moving data from point A to point B. But the world's moving also to identify scenarios where I'm going to move compute rather than through the day, because people have recognized that moving data is hard you got late in C and this cost in band with so two schools of thought not mutually exclusive. When do you pick one? >> Okay, absolutely. They're not mutually exclusive because there are data availability needs that defined some replication scenarios on their computer needs that can be more flexible. If you had the ability to say, have data in Amazon's cloud on in Microsoft's Cloud, You mean Want to use some Amazon specific tools for specific computer scenarios at the same time, used Microsoft tools for other scenarios or perhaps use open source, too, like Hadoop in either one of those clouds? Those are all mechanisms that work perfectly well, but at the core you have to figure out your data architecture. If you can live with your data in one region or in one data center, clearly that's what you should do. But if you cannot have that data, be unavailable, you do have to replicate it. At that point, you should consider replicating to a different cloud window because availability is concerned with all these vendors. >> So two things I hear you say one availability is it's a driver. The other one is user preference Yes. Why not have people who know Microsoft tools and Microsoft software work on Microsoft framework of someone using something else in another cloud? The same data can live in both places. You guys make that happen? Is that what you're saying? Exactly. That's a big deal. >> Absolutely. And we guarantee the consistency that a guarantee that you will not get from any other bender. >> So this basically debunks the whole walk in, Yes, that you guys air solution to to essentially relieve this notion of lock and so me as a customer and say, Hey, I'm an Amazon right now. We're all in an Amazon. But, you know, I've got some temptation to goto Azure or Google. Why wouldn't I if I have the ability to make my data consistent, exact. Is that what you're saying? >> That is exactly what I'm saying. You have this ability to experiment with different cloud vendors. You also have the ability to mitigate some of the cost aspect. If you're going to pay for copies in two different geographic locations, you might as well do it on two different cloud vendor see have the richer subset of applications and better availability. >> So for people who say date is a lock inspect for cloud. It's kind of right if unless they use WANdisco because in a sense, and because you know what really moves with it. I mean, your data's Did you stay there? Yeah, that's kind of common sense. It's not so much technical locket, so there's no real technical lockets. More operational lock and correct with data, if you don't wantto. But if you're afraid of lock in, you go with the WANdisco. That's live data. Multi cloud is that >> that was live data multi cloud on. Does this new ability to actually have active data sets that are available in different cloud bender locations? >> Well, that's a killer app right there. How do you feel? You must You must feel pretty good. You know, you and I have talked many times. Yes, but this's like you been waiting for this moment. This is actually really wide here in a k a cloud. I was a big data problem. Which only getting bigger, exactly. Replication is now the transport between clouds for anti lock. And this is the Holy Grail for home when >> it is the Holy Grail for the industrial. We've been talking about it for years now, and we feel completely redeemed. Now we feel that the industry has gotten to the point back. They understand what we've talked about. I feel very excited, the custom attraction we're seeing on watching our customers light of when we describe the attributes we bring, It's >> exciting and just the risk management alone is a hedge. I mean, if I'm a if I'm someone in the cyber security challenges alone on data, you've got data sovereignty, compliance. Never mind the productivity piece of it, which is pretty amazing. So you guys are changing the data equation. >> Indeed, R R No most excited customers are CEOs because mitigating risk from things like cyber security. As you point out, you may have a breach in one cloud vendor. You can turn that off and use your replica in the other cloud vendor side instantly. Those are comfort. You do not get that other solutions. >> So world having a love fest here. I love the whole multi cloud data. No anti lock. And I think that's a killer feature. Think we'll sell that baby? I'm going to say, OK, that's all good, but I'm going to get you on this one. Security. So no one saw security yet. So if you saw that, then you pretty much got it all. So tell me the securities. Just >> so I'll start by saying, right. Our biggest customer base is the financial industry, banking in companies insurance company's health care. There is no industry in the world that's more security conscious than the banking. And does the government the comment? Perhaps I would. I mean, the banks are really security >> conscious, Their money's money, >> money is money. And and they have, ah, judicially responsibility both governments and to their to their customers. So we've catered to these customers for upwards off a decade. Now, every technical decision we make has security. Ask one of the focus items on DH >> years. A good un security. You >> feel's way insecurity when minute comes to date. Yes. >> Encryption. Is that what this is? It's >> encrypted on the wire. We support all on this data at rest encryption schemes. We support all the the the soup and the cloud vendor security mechanisms. We have a cross cloud product, so the security problems are multiplied and we take care of each of those specifically. So you can be confident that your data secure >> and wire speed security, no overhead involved, >> no overhead involved at all. It's not measurable. >> So well, congratulations on where you guys are a lot more work to do. You guys going to staff? So you hiring a lot of people talk about the talent you're hiring real quick because, you know large skin attracting large scale talent is also one indicator. Yeah, the successful opportunity. I see, the more I think the positioning is phenomenal. Congratulations absent about the hiring, >> as you know, as as David mentioned. A few minutes ago, we hired Joel from IBM for our marketing a department. He cmo wonderful. Higher. We've got Ronchi, who's from the University of Denver. I left the head of that computer science department to come work for us. Another amazing guy. Terrific background. We've got shocked me. Who's another column? UT Austin, phD. He's running engineering for us. We're so pleased to be able to hire talent at this level. As as you well know, it's the people who make these jobs interesting and products interesting. We are. So what are >> some of the things that those guys say when they when they get into really exposed. I mean, why would someone with somewhat what would take someone to quit their ten year professor job at a university, which is pretty much retirement to engage in a growing opportunity? What's the What do they say? >> So the single I mean that you'll find in all of this is very complex, unique technology that has bean refined on it's on the verge of exploding toe, probably something ten to one hundred times the size it is today. People see that when dish when we show them the value ofthe what we've got on the market, that we're taking this too. I'm just getting excited. >> Well, congratulations. You guys have certainly worked hard. Has been great to watch the entrepreneurial journey of getting into that growth stream and just the winds that you're back all that hard work into technologies. Phenomenal again. Multi cloud data not worrying about where your data is is going to give people some East and rest in the other rest of night. Well, because that's the number one of the number one was besides security absolutely Jagane Sundar CTO chief technology officer of WANdisco here inside the CUBE in Palo Alto. I'm John Furrier. Thanks for watching.

(upbeat instrumental music) >> Welcome to the special CUBE Conversation here, in Palo Alto, I'm John Furrier, host of theCUBE. I'm here with David Richards the CEO of WANdisco, CUBE alumni, been on many times. WANdisco continues to make the right bets. The bet they recently made has been on cloud many years. We've covered it certainly on theCUBE. But live data is the new hot thing. Multiple clouds is turning out to be the trend. That's your friend. David, good to see you. >> Great to be back. >> Thanks for coming on. So we talk all the time about how you guys have always evolved the business and continued to stay out front in all the major waves. Now again, another good call. You've certainly bet on Cloud. We've talked about that, Open Source, Big Data, Cloud, you saw that coming, positioned for that. But now you got some great momentum and resonance with customers around live data, which is not a stretch, given what you guys have done with replication, things in the past, the core intellectual property. Give us the update. You guys have been in the news lately. >> So, thanks and I think you enumerated the past history over the past two or three years, which we like to say that we're living in dog years. Everything's happening seven times faster than it would do normally. So of course, we started out life by making a prediction that storage arrays would change. People are beginning to store, companies beginning to store structured and unstructured data, mammoth sizes that we've never seen previously. We're going to have to resort to Open Source software, running a commoditized hardware that we'd already seen the social media companies move to. Then we've seen, we began to see a problem emerge, even in that marketplace, where spike computes all the applications which were going to be heavily compute, would need to run in Cloud and Cloud environments where you have complete elastic compute at remarkably low cost. And that leads to a problem. So this iceberg kind of that we like to talk about underneath the oceans, so moving data for static archival data really simple problem. And that's not live data, that's archival data. You just FTP it from point A to point B. But if we're talking about transactional systems where 10, 20, 30, 40, 50 percent of the data set changes all of the time, that creates a humongous problem in moving data from one premises to cloud, either for hybrid cloud or between clouds for multi-cloud. And that's the precise problem that WANdisco solves. And we've seen customer attraction, recently we've just announced the deal, jointly with Microsoft Azure. Where a big healthcare company, who 12 months ago were not talking about cloud suddenly they got over that hump where security keys could be managed by themselves within the cloud, were able to move petabytes-scale data from their on-premise systems into the cloud, without any interruption to service, without any blocking. That's a trend that we're seeing our pipelines now full of companies, all trying to do that. >> It's like you hit the oil gusher with data, because the data tsunami has been there, and we've documented certainly on theCUBE, and our Research team at Wikibon, have been talking about it for years, and now you're starting to see it, and you guys are getting the benefits of it, is that people figured out that it's moving data around is expensive. And it's hard to do so you push compute to the edge, but you still got to move the data around because the key part of the latency piece of the cloud. So how do you do that at scale? So this is the thing that you guys have, and I want you to explain what it is. You guys have live data from multi-cloud. What does that mean? What is all the hubbub about? What's the buzz? Why is this such a hot topic, live data from multi-cloud. >> Okay so let's just take a step back and talk about what multi-cloud actually is in today's definition, which is the vendor's definition, which is very convenient. So what they mean is, moving, putting applications into a container, Kubernetes or whatever, picking it up and shifting it somewhere else. And hey presto, I've got applications running, the same applications running in two different clouds. That is not multi-cloud because you're forgetting about the data, and the iceberg underneath the ocean of this colossal amount of data. If I've got petabyte-scale, multi-terabyte-scale data sets, and I need to run the same applications, or different applications but against the same data set, I need guaranteed consistent data, and that is, by definition, a data consistency problem. It is not a data replication problem. So all of the stuff that we used to use in the past for gigabyte-scale data, for traditional, relational database problems, none of that stuff works in a live data world. And by live data, we're talking about multi-terabyte, petabyte-scale data. Data sets that are so large that we've never seen them before running in end cloud locations. It's different or same applications, but guaranteed consistent data in every location. >> So you guys have had this core composite around integrity around the data, whether it's in replication. Sounds like the same thing's true around moving data. >> Yep. >> You guys are managing the life cycle of end-to-end of data movement. >> Yep. >> Point A to point B. >> Yep. >> The other approach is to move compute to the data. >> Yep. >> We're just seeing Amazon do a deal with VMware on-premise. So there's two schools of thought. When should customers think about each approach? Can you just kind of debunk or just clarify those two positions? >> So it's not really a chicken and egg because we know which comes first. It's definitely the chicken. It's definitely the data. So if I'm going to rebuild my application infrastructure, in the cloud, I'm going to do it piece-by-piece. I can't do lift-and-shift for a thousand applications that are running against this data set and just hope that the data that block for six months because I've got petabyte-scale data, and wait for it to all arrive in the cloud, or put it to the back of you know, use a snowmobile or some physical device to move the data. I need to do this, I need to kind of build the aircraft while it's taking off and flying and that's probably a good analogy. So what we see, is companies the first step is to get consistent data on-premise to cloud, or between different clouds. Then what that enables me to do of course, is to piece-by-piece then rebuild my application infrastructure at the pace that I want to. I mean there's a great add that I keep on seeing on t.v. Where it's migration day. As though I can press a button and then suddenly you know, in this Alice in Wonderland magical world, everything just appears. Realistically, and I saw the CEO of VMware a couple of years ago talk about being in a hybrid cloud scenario for 20 years. I think that's probably accurate. We've got billions of applications. A mix of homegrown stuff, a mix of, you know, actuarial applications in the insurance industry that are impossible to build overnight. This is going to take an elongated period of time. >> I was talking on Twitter with a bunch of thought leaders. We were talking about hybrid cloud and multi-cloud, and the kindergarten class is hybrid, right? >> Yeah. >> So you got some public cloud, then you got some on-premise data center. So getting that operational thing nailed down is great. But as you get old, you know, you progress in the grades, and get smarter, as you increase your I.T. I.Q., you're dealing with multiple, potentially multiple data centers or bigger on site, or an IOT edge, and multiple clouds. >> Yep. >> So that sounds easy on paper, but when you have to move data around the different work loads, that's the core problem that people are talking about today. How do you guys address this problem? Because I buy multi-cloud, I can see that certain tools and certain clouds the right work load and the right cloud, I get that. >> Yeah. It makes a lot of sense to me. The data is the problem. >> Yep. >> So how do you guys address that? This is the number one concern. >> So the closest, people ask me all the time about competition. The closest is Google. Google have got a product called Google Spanner. And Google Spanner is a time-sensitive, active-active WAN-scope data replication solution. That looks on paper very close to what WANdisco does. It enables them to keep active data in all of their different geolocations that they've built for their add services years and years and years ago. The trouble with that is, it only works on their own proprietary network, against their own proprietary applications because they launched a satellite and stuck it in the sky, they put dark fiber under the ocean, and they put GPS atomic clocks on every single one of their servers because it uses time and time accuracy in order to synchronize all of their data. We can do all of that over the public internet. So we're not a hardware solution. This is a pure software solution that can work over the public internet. So we can do that for any cloud vendor, and any provider of applications. And that's what we do. We're licensing our I.P. all over the place at the moment. >> So which clouds are, I imagine there's a great uptake for the clouds. Which one are you working with now? Can you talk about the deals you've done? >> We're very close. We announced the Azure partnership with Microsoft, and their Azure product, and we've been very impressed with the traction that we're seeing with them, particularly an enterprise cloud. I mean the early stage of cloud obviously was dominated by Amazon, Amazon Web Services. And they did a fantastic job of really bringing cloud to the market by accident kind of inventing cloud and then bringing it to market very very quickly. The fastest ever company to, if it's and independent company to 15 billion dollars, but most of those applications and projects and companies were born in the cloud. I mean a lot of the modern companies today were actually of course, you have Airbnb et cetera, were born in the cloud. So that, the second inning of cloud is certainly enterprise. We've also been impressed with the traction that we've seen from Google GCP as being extremely impressive. And of course Amazon continued to thrive. In cloud we also have an OEM deal with Ali, with Alibaba with their cloud as well. So they're really the only full. >> If Google has Spanner, how do you differentiate between Google Spanner? >> So Google Spanner only works on their proprietary network. Which is great for Google and between their data centers, but what about 99.9 percent of the rest of the problem, which is the rest of us right, who operate on the public internet. So we can do what Google Spanner does active-active, geo, one scope replication of data but over the public internet. >> So you guys have been talking active-active for many times. We've had many conversations here on theCUBE. So I get that. How has your business changed with cloud? You had mentioned prior to coming on camera. You made a bet on cloud. It's paying off obviously. People who have made the right bets on cloud at the right time, it's certainly paying off. You're one of them. How does the live data in the multi-cloud change your business? Does it increase your trajectory? Is there a pivot? I mean what does it mean for WANdisco? >> So the very, so my thesis or the company's thesis, I won't take the credit for it, but the company's thesis was really simplistic, which is our bet was in the small data world of gigabyte-scale data, in order to do data replication, small data equals small outage. When you get data sets that are growing exponentially, and you get, you know, data sets through a thousand or a million times greater than what we've seen previously, what was a small outage or small blocking of client applications will become an elongated blocking of client applications that we're talking about, you know, six months to move 20 petabytes of data. You can't block applications, business critical applications for six months. That was the bet that we made. We expected initially to see that happen on-premise in the data like world, in the Hadoop world if you will. That didn't quite happen, or has not happen to date. We don't think that's probably going to happen. We're certainly seeing a huge desire of companies moving those data lakes into cloud, and we've actually innovated, we've got some new inventions coming out that enable you to move in a single pass, massive quantity of data that will be exponentially faster than anything else, and just doing a unidirectional data move into clouds. That was our bet that we said "Okay, companies in order to achieve the kind of scale "that they need to achieve, "they're going to have to do this in cloud." "In order to get to cloud, "they're going to have to move that data there, "and they're not going to be able to block even for a day "in order to move that data to cloud." And that was the bet we made, and it was the right bet. >> Talk about where you guys go from here. Give a company update. What's the status of the company? Get some new personnel? Any changes, notable updates? >> So we, really interestingly, my Co-Founder and Chief Scientist is a genius, Dr. Yeturu Aahlad, Ph.D. from UT, and undergrad from IIT, a new VP of Engineering Sakthi, IIT, Ph.D. at U.T. under Draxler. This fantastic Ph.D. program they did there. My new Head of Research came from, was Chairman of Computer Science at the University of Denver. He's was an IIT undergrad, Ph.D with Aahlad at UT. And I said jokingly to Aahlad: "There must be a fourth guy "that we can bring on board here "that went through the same program." He said, "We can but we can't hire him, "because he's the CTO of Microsoft, so." That was, he was the forth guy. Joel, who I know, is going to be coming on theCUBE shortly. He also has joined us from IBM to run Marketing for us. So we've made some fantastic new hires. The company's doing really well. You know cloud certainly has played a big part in the second half of last year. I think it's going to play a big part. It's definitely going to play a big part in 2019. We've seen a pivot in pipeline, that's moved away from possibly even disaster recovery, data lake in the first half of last year. We pivoted to more of a reliable subscription revenue in the second half of the year. We announced some pretty big deals, big healthcare companies. We've got really good public reference with AMD. We announced a motor vehicle company one of the new used cases there is four petabytes of data per day they're generating. That all has to be moved from on-premise to cloud. So we've got some ginormous deals in pipeline. We'll see how they play out in the coming weeks and months. >> It's great to see the change, and certainly on theCUBE. We've been talking, I think we've known each other for almost, this is our tenth year. >> Yeah. Ever since we first met. It's fun to see how you guys entered the market at Hadoop, staying on the data wave and thinking enterprise, integrity of the data, active-active, the key I.P. And how cloud is just assumed data, and it's not just data, it's large scale. So if you look at the new people you hired, you've got jobs in large scale systems. >> Yep. >> We're talking about a large systems, now data is just given. So you're really nailing the large scale, moving from an enterprise nice feature, certainly table stakes for fault tolerance, and active-active. Just add recovery to mission critical >> Yep. >> Ingredient in large scale cloud. >> Well it's ironic isn't it because our value actually increases with the volume of data. So we're an unusual company in that context where the larger the data site, the greater the problem, and the greater the problem that we solve. See we made a pretty good bet, the active-active replication, that live data would be a critical component of both hybrid cloud and multi-cloud. And that's playing out I think really well for us. >> And certainly a lot more changes to come. Great to have you on. >> Yeah. >> Cloud and multi-cloud. Certainly cloud has proven the economics proven large scale value of moving at cloud speed but now you have multiple clouds. That's going to change the game on applications, work loads. It's not going to change the data equation. There's still more tsunami of data that's not stopping. >> Exactly. >> I think you've got a good wave you're riding. >> Yeah. >> Data cloud wave. David Richards, CEO of WANdisco here in CUBE Conversations here in Palo Alto. I'm John Furrier, thanks for watching. (upbeat instrumental music)

>> Narrator: Live from Las Vegas, it's theCUBE, covering AWS re:Invent 2017, presented by AWS, Intel, and our ecosystem of partners. >> Hey, welcome back everyone, this is theCUBE's exclusive live coverage here in Las Vegas for AWS Amazon web services re:Invent 2017. I'm John Furrier with Keith Townsend. Our next guest is Laura Stevens, data scientist at the American Heart Association, an AWS customer, welcome to theCUBE. >> Hi, it's nice to be here. >> So, the new architecture, we're seeing all this great stuff, but one of the things that they mention is data is the killer app, that's my word, Verna didn't say that, but essentially saying that. You guys are doing some good work with AWS and precision medicine, what's the story? How does this all work, what are you working with them on? >> Yeah, so the American Heart Association was founded in 1924, and it is the oldest and largest voluntary organization dedicated to curing heart disease and stroke, and I think in the past few years what the American Heart Association has realized is that the potential of technology and data can really help us create innovative ways and really launch precision medicine in a fashion that hasn't been capable to do before. >> What are you guys doing with AWS? What's that, what's the solution? >> Yeah so the HA has strategically partnered with Amazon Web Services to basically use technology as a way to power precision medicine, and so when I say precision medicine, I mean identifying individual treatments, based on one's genetics, their environmental factors, their life factors, that then results in preventative and treatment that's catered to you as an individual rather than kind of a one size fits all approach that is currently happening. >> So more tailored? >> Yeah, specifically tailored to you as an individual. >> What do I do, get a genome sequence? I walk in, they throw a high force computing, sequence my genomes, maybe edit some genes while they're at it, I mean what's going on. There's some cutting edge conversations out there we see in some of the academic areas, course per that was me just throwing that in for fun, but data has to be there. What kind of data do you guys look at? Is it personal data, is it like how big is the data? Give us a sense of some of the data science work that you're doing? >> Yeah so the American Heart Association has launched the Institute for Precision Cardiovascular Medicine, and as a result, with Amazon, they created the precision medicine platform, which is a data marketplace that houses and provides analytic tools that enable high performance computing and data sharing for all sorts of different types of data, whether it be personal data, clinical trial data, pharmaceutical data, other data that's collected in different industries, hospital data, so a variety of data. >> So Laura, there's a lot of think fud out there around the ability to store data in a cloud, but there's also some valid concerns. A lot of individual researchers, I would imagine, don't have the skillset to properly protect data. What is the Heart Association doing with the framework to help your customers protect data? >> Yeah so the I guess security of data, the security of the individual, and the privacy of the individual is at the heart of the AHA, and it's their number one concern, and making anything that they provide that a number one priority, and the way that we do that in partnering with AWS is with this cloud environment we've been able to create even if you have data that you'd like to use sort of a walled garden behind your data so that it's not accessible to people who don't have access to the data, and it's also HIPAA compliant, it meets the standards that the utmost secure standards of health care today. >> So I want to make sure we're clear on this, the Heart Association doesn't collect data themselves. Are you guys creating a platform for your members to leverage this technology? >> So there's, I would so maybe both actually. The American Heart Association does have data that it is associated with, with its volunteers and the hospitals that it's associated with, and then on top of that, we've actually just launched My Research Legacy, which allows individuals of the community to, who want to share their data, whether you're healthy or just sick, either one, they want to share their data and help in aiding to cure heart disease and stroke, and so they can share their own data, and then on top of that, anybody, we are committed to strategically partnering with anybody who's involved and wants to share their data and make their data accessible. >> So I can share my data? >> Yes, you can share your data. >> Wow, so what type of tools do you guys use against that data set and what are some of the outcomes? >> Yeah so I think the foundation is the cloud, and that's where the data is stored and housed, and then from there, we have a variety of different tools that enable researchers to kind of custom build data sets that they want to answer the specific research questions they have, and so some of those tools, they range from common tools that are already in use today on your personal computer, such as Python or R Bioconductor, and then they have more high performance computing tools, such as Hal or any kind of s3 environment, or Amazon services, and then on top of that I think what is so awesome about the platform is that it's very dynamic, so a tool that's needed to use for high performance computing or a tool that's needed even just as a on a smaller data set, that can easily be installed and may be available to researchers, and so that they can use it for their research. >> So kind of data as a service. I would love to know about the community itself. How are you guys sharing the results of kind of oh this process worked great for this type of analysis amongst your members? >> Yeah so I think that there's kind of two different targets in that sense that you can think of is that there's the researchers and the researchers that come to the platform and then there's actually the patient itself, and ultimately the HA's goal is to make, to use the data and use the researcher for patient centered care, so with the researchers specifically, we have a variety of tutorials available so that researchers can one, learn how to perform high performance computing analysis, see what other people have done. We have a forum where researchers can log on and enable, I guess access other researchers and talk to them about different analysis, and then additionally we have My Research Legacy, which is patient centered, so it's this is what's been found and this is what we can give back to you as the patient about your specific individualized treatment. >> What do you do on a daily basis? Take us through your job, are you writing code, are you slinging API's around? What are some of the things that you're doing? >> I think I might say all of the above. I think right now my main effort is focused on one, conducting research using the platform, so I do use the platform to answer my own research questions, and those we have presented at different conferences, for example the American Heart Association, we had a talk here about the precision medicine platform, and then two, I'm focused on strategically making the precision medicine platform better by getting more data, adding data to the platform, improving the way that data is harmonized in the platform, and improving the amount of data that we have, and the diversity, and the variety. >> Alright, we'll help you with that, so let's help you get some people recruited, so what do they got to do to volunteer, volunteer their data, because I think this is one of those things where you know people do want to help. So, how do they, how you onboard? You use the website, is it easy, one click? Do they have to wear an iWatch, I mean what I mean? >> Yeah. >> What's the deal? What do I got to do? >> So I think I would encourage researchers and scientists and anybody who is data centric to go to precision.heart.org, and they can just sign up for an account, they can contact us through that, there's plenty of different ways to get in touch with us and plenty of ways to help. >> Precision.heart.org. >> Yup, precision.heart.org. >> Stu: Register now. >> Register now click, >> Powered by AWS. >> Yup. >> Alright so I gotta ask you as an AWS customer, okay take your customer hat off, put your citizen's hat on, what is Amazon mean to you, I mean is it, how do you describe it to people who don't use it? >> Okay yeah, so I think... the HA's ultimate mission right, is to provide individualized treatment and cures for cardiovascular disease and stroke. Amazon is a way to enable that and make that actually happen so that we can mine extremely large data sets, identify those individualized patterns. It allows us to store data in a fashion where we can provide a market place where there's extremely large amounts of data, extremely diverse amounts of data, and data that can be processed effectively, so that it can be directly used for research. >> What's your favorite tool or product or service within Amazon? >> That's a good question. I think, I mean the cloud and s3 buckets are definitely in a sense they're my favorites because there's so much that can be stored right there, Athena I think is also pretty awesome, and then the EMR clusters with Spark. >> The list is too long. >> My jam. >> It is. (laughs) >> So, one of the interesting things that I love is a lot of my friends are in non-profits, fundraising is a big, big challenge, grants are again, a big challenge, have you guys seen any new opportunities as a result of the results of the research coming out of HA and AWS in the cloud? >> Yeah so I think one of the coolest things about the HA is that they have this Institute for Precision Cardiovascular Medicine, and the strategic partnership between the HA and AWS, even just this year we've launched 13 new grants, where the HA kind of backs the research behind, and the AWS provides credit so that people can come to the cloud and use the cloud and use the tools available on a grant funded basis. >> So tell me a little bit more about that program. Anybody specifically that you, kind of like saying, seeing that's used these credits from AWS to do some cool research? >> Yeah definitely, so I think specifically we have one grantee right now that is really focused on identifying outcomes across multiple clinical trials, so currently clinical trials take 20 years, and there's a large variety of them. I don't know if any of you are familiar with the Framingham heart study, the Dallas heart study, the Jackson heart study, and trying to determine how those trials compare, and what outcomes we can generate, and research insights we can generate across multiple data sets is something that's been challenging due to the ability to not being able to necessarily access that data, all of those different data sets together, and then two, trying to find ways to actually compare them, and so with the precision medicine platform, we have a grantee at the University of Colorado-Denver, who has been able to find those synchronicities across data sets and has actually created kind of a framework that then can be implemented in the precision medicine platform. >> Well I just registered, it takes really two seconds to register, that's cool. Thanks so much for pointing out precision.heart.org. Final question, you said EMR's your jam. (laughing) >> Why, why is it? Why do you like it so much, is it fast, is it easy to use? >> I think the speed is one of the things. When it comes to using genetic data and multiple biological levels of data, whether it be your genetics, your lifestyle, your environment factors, there's... it just ends up being extremely large amounts of data, and to be able to implement things like server-less AI, and artificial intelligence, and machine learning on that data set is time consuming, and having the power of an EMR cluster that is scalable makes that so much faster so that we can then answer our research questions faster and identify those insights and get them to out in the world. >> Gotta love the new services they're launching, too. It just builds on top of it. Doesn't it? >> Yes. >> Yeah, soon everyone's gonna be jamming on AWS in our opinion. Thanks so much for coming on, appreciate the stories and commentary. >> Yeah. >> Precision.heart.org, you want to volunteer if you're a researcher or a user, want to share your data, they've got a lot of data science mojo going on over there, so check it out. It's theCUBE bringing a lot of data here, tons of data from the show, three days of wall to wall coverage, we'll be back with more live coverage after this short break. (upbeat music)

>> Announcer: From Denver, Colorado, it's theCUBE, covering Super Computing 17. Brought to you by Intel. (soft electronic music) Hey, welcome back, everybody. Jeff Frick here with theCUBE. We're gettin' towards the end of the day here at Super Computing 2017 in Denver, Colorado. 12,000 people talkin' really about the outer limits of what you can do with compute power and lookin' out into the universe and black holes and all kinds of exciting stuff. We're kind of bringin' it back, right? We're all about democratization of technology for people to solve real problems. We're really excited to have our last guest of the day, bringin' the energy, Armughan Ahmad. He's SVP and GM, Hybrid Cloud and Ready Solutions for Dell EMC, and a many-time CUBE alumni. Armughan, great to see you. >> Yeah, good to see you, Jeff. So, first off, just impressions of the show. 12,000 people, we had no idea. We've never been to this show before. This is great. >> This is a show that has been around. If you know the history of the show, this was an IEEE engineering show, that actually turned into high-performance computing around research-based analytics and other things that came out of it. But, it's just grown. We're seeing now, yesterday the super computing top petaflops were released here. So, it's fascinating. You have some of the brightest minds in the world that actually come to this event. 12,000 of them. >> Yeah, and Dell EMC is here in force, so a lot of announcements, a lot of excitement. What are you guys excited about participating in this type of show? >> Yeah, Jeff, so when we come to an event like this, HBC-- We know that HBC is also evolved from your traditional HBC, which was around modeling and simulation, and how it started from engineering to then clusters. It's now evolving more towards machine learning, deep learning, and artificial intelligence. So, what we announced here-- Yesterday, our press release went out. It was really related to how our strategy of advancing HBC, but also democratizing HBC's working. So, on the advancing, on the HBC side, the top 500 super computing list came out. We're powering some of the top 500 of those. One big one is TAC, which is Texas Institute out of UT, University of Texas. They now have, I believe, the number 12 spot in the top 500 super computers in the world, running an 8.2 petaflops off computing. >> So, a lot of zeros. I have no idea what a petaflop is. >> It's very, very big. It's very big. It's available for machine learning, but also eventually going to be available for deep learning. But, more importantly, we're also moving towards democratizing HBC because we feel that democratizing is also very important, where HBC should not only be for the research and the academia, but it should also be focused towards the manufacturing customers, the financial customers, our commercial customers, so that they can actually take the complexity of HBC out, and that's where our-- We call it our HBC 2.0 strategy, off learning from the advancements that we continue to drive, to then also democratizing it for our customers. >> It's interesting, I think, back to the old days of Intel microprocessors getting better and better and better, and you had Spark and you had Silicon Graphics, and these things that were way better. This huge differentiation. But, the Intel I32 just kept pluggin' along and it really begs the question, where is the distinction now? You have huge clusters of computers you can put together with virtualization. Where is the difference between just a really big cluster and HBC and super computing? >> So, I think, if you look at HBC, HBC is also evolving, so let's look at the customer view, right? So, the other part of our announcement here was artificial intelligence, which is really, what is artificial intelligence? It's, if you look at a customer retailer, a retailer has-- They start with data, for example. You buy beer and chips at J's Retailer, for example. You come in and do that, you usually used to run a SEQUEL database or you used to run a RDBMS database, and then that would basically tell you, these are the people who can purchase from me. You know their purchase history. But, then you evolved into BI, and then if that data got really, very large, you then had an HBC cluster, would which basically analyze a lot of that data for you, and show you trends and things. That would then tell you, you know what, these are my customers, this is how many times they are frequent. But, now it's moving more towards machine learning and deep learning as well. So, as the data gets larger and larger, we're seeing datas becoming larger, not just by social media, but your traditional computational frameworks, your traditional applications and others. We're finding that data is also growing at the edge, so by 2020, about 20 billion devices are going to wake up at the edge and start generating data. So, now, Internet data is going to look very small over the next three, four years, as the edge data comes up. So, you actually need to now start thinking of machine learning and deep learning a lot more. So, you asked the question, how do you see that evolving? So, you see an RDBMS traditional SQL evolving to BI. BI then evolves into either an HBC or hadoop. Then, from HBC and hadoop, what do you do next? What you do next is you start to now feed predictive analytics into machine learning kind of solutions, and then once those predictive analytics are there, then you really, truly start thinking about the full deep learning frameworks. >> Right, well and clearly like the data in motion. I think it's funny, we used to make decisions on a sample of data in the past. Now, we have the opportunity to take all the data in real time and make those decisions with Kafka and Spark and Flink and all these crazy systems that are comin' to play. Makes Hadoop look ancient, tired, and yesterday, right? But, it's still valid, right? >> A lot of customers are still paying. Customers are using it, and that's where we feel we need to simplify the complex for our customers. That's why we announced our Machine Learning Ready Bundle and our Deep Learning Ready Bundle. We announced it with Intel and Nvidia together, because we feel like our customers either go to the GPU route, which is your accelerator's route. We announced-- You were talking to Ravi, from our server team, earlier, where he talked about the C4140, which has the quad GPU power, and it's perfect for deep learning. But, with Intel, we've also worked on the same, where we worked on the AI software with Intel. Why are we doing all of this? We're saying that if you thought that RDBMS was difficult, and if you thought that building a hadoop cluster or HBC was a little challenging and time consuming, as the customers move to machine learning and deep learning, you now have to think about the whole stack. So, let me explain the stack to you. You think of a compute storage and network stack, then you think of-- The whole eternity. Yeah, that's right, the whole eternity of our data center. Then you talk about our-- These frameworks, like Theano, Caffe, TensorFlow, right? These are new frameworks. They are machine learning and deep learning frameworks. They're open source and others. Then you go to libraries. Then you go to accelerators, which accelerators you choose, then you go to your operating systems. Now, you haven't even talked about your use case. Retail use case or genomic sequencing use case. All you're trying to do is now figure out TensorFlow works with this accelerator or does not work with this accelerator. Or, does Caffe and Theano work with this operating system or not? And, that is a complexity that is way more complex. So, that's where we felt that we really needed to launch these new solutions, and we prelaunched them here at Super Computing, because we feel the evolution of HBC towards AI is happening. We're going to start shipping these Ready Bundles for machine learning and deep learning in first half of 2018. >> So, that's what the Ready Solutions are? You're basically putting the solution together for the client, then they can start-- You work together to build the application to fix whatever it is they're trying to do. >> That's exactly it. But, not just fix it. It's an outcome. So, I'm going to go back to the retailer. So, if you are the CEO of the biggest retailer and you are saying, hey, I just don't want to know who buys from me, I want to now do predictive analytics, which is who buys chips and beer, but who can I sell more things to, right? So, you now start thinking about demographic data. You start thinking about payroll data and other datas that surround-- You start feeding that data into it, so your machine now starts to learn a lot more of those frameworks, and then can actually give you predictive analytics. But, imagine a day where you actually-- The machine or the deep learning AI actually tells you that it's not just who you want to sell chips and beer to, it's who's going to buy the 4k TV? You're makin' a lot of presumptions. Well, there you go, and the 4k-- But, I'm glad you're doin' the 4k TV. So, that's important, right? That is where our customers need to understand how predictive analytics are going to move towards cognitive analytics. So, this is complex but we're trying to make that complex simple with these Ready Solutions from machine learning and deep learning. >> So, I want to just get your take on-- You've kind of talked about these three things a couple times, how you delineate between AI, machine learning, and deep learning. >> So, as I said, there is an evolution. I don't think a customer can achieve artificial intelligence unless they go through the whole crawl walk around space. There's no shortcuts there, right? What do you do? So, if you think about, Mastercard is a great customer of ours. They do an incredible amount of transactions per day, (laughs) as you can think, right? In millions. They want to do facial recognitions at kiosks, or they're looking at different policies based on your buying behavior-- That, hey, Jeff doesn't buy $20,000 Rolexes every year. Maybe once every week, you know, (laughs) it just depends how your mood is. I was in the Emirates. Exactly, you were in Dubai (laughs). Then, you think about his credit card is being used where? And, based on your behaviors that's important. Now, think about, even for Mastercard, they have traditional RDBMS databases. They went to BI. They have high-performance computing clusters. Then, they developed the hadoop cluster. So, what we did with them, we said okay. All that is good. That data that has been generated for you through customers and through internal IT organizations, those things are all very important. But, at the same time, now you need to start going through this data and start analyzing this data for predictive analytics. So, they had 1.2 million policies, for example, that they had to crunch. Now, think about 1.2 million policies that they had to say-- In which they had to take decisions on. That they had to take decisions on. One of the policies could be, hey, does Jeff go to Dubai to buy a Rolex or not? Or, does Jeff do these other patterns, or is Armughan taking his card and having a field day with it? So, those are policies that they feed into machine learning frameworks, and then machine learning actually gives you patterns that they can now see what your behavior is. Then, based on that, eventually deep learning is when they move to next. Deep learning now not only you actually talk about your behavior patterns on the credit card, but your entire other life data starts to-- Starts to also come into that. Then, now, you're actually talking about something before, that's for catching a fraud, you can actually be a lot more predictive about it and cognitive about it. So, that's where we feel that our Ready Solutions around machine learning and deep learning are really geared towards, so taking HBC to then democratizing it, advancing it, and then now helping our customers move towards machine learning and deep learning, 'cause these buzzwords of AIs are out there. If you're a financial institution and you're trying to figure out, who is that customer who's going to buy the next mortgage from you? Or, who are you going to lend to next? You want the machine and others to tell you this, not to take over your life, but to actually help you make these decisions so that your bottom line can go up along with your top line. Revenue and margins are important to every customer. >> It's amazing on the credit card example, because people get so pissed if there's a false positive. With the amount of effort that they've put into keep you from making fraudulent transactions, and if your credit card ever gets denied, people go bananas, right? The behavior just is amazing. But, I want to ask you-- We're comin' to the end of 2017, which is hard to believe. Things are rolling at Dell EMC. Michael Dell, ever since he took that thing private, you could see the sparkle in his eye. We got him on a CUBE interview a few years back. A year from now, 2018. What are we going to talk about? What are your top priorities for 2018? >> So, number one, Michael continues to talk about that our vision is advancing human progress through technology, right? That's our vision. We want to get there. But, at the same time we know that we have to drive IT transformation, we have to drive workforce transformation, we have to drive digital transformation, and we have to drive security transformation. All those things are important because lots of customers-- I mean, Jeff, do you know like 75% of the S&P 500 companies will not exist by 2027 because they're either not going to be able to make that shift from Blockbuster to Netflix, or Uber taxi-- It's happened to our friends at GE over the last little while. >> You can think about any customer-- That's what Michael did. Michael actually disrupted Dell with Dell technologies and the acquisition of EMC and Pivotal and VMWare. In a year from now, our strategy is really about edge to core to the cloud. We think the world is going to be all three, because the rise of 20 billion devices at the edge is going to require new computational frameworks. But, at the same time, people are going to bring them into the core, and then cloud will still exist. But, a lot of times-- Let me ask you, if you were driving an autonomous vehicle, do you want that data-- I'm an Edge guy. I know where you're going with this. It's not going to go, right? You want it at the edge, because data gravity is important. That's where we're going, so it's going to be huge. We feel data gravity is going to be big. We think core is going to be big. We think cloud's going to be big. And we really want to play in all three of those areas. >> That's when the speed of light is just too damn slow, in the car example. You don't want to send it to the data center and back. You don't want to send it to the data center, you want those decisions to be made at the edge. Your manufacturing floor needs to make the decision at the edge as well. You don't want a lot of that data going back to the cloud. All right, Armughan, thanks for bringing the energy to wrap up our day, and it's great to see you as always. Always good to see you guys, thank you. >> All right, this is Armughan, I'm Jeff Frick. You're watching theCUBE from Super Computing Summit 2017. Thanks for watching. We'll see you next time. (soft electronic music)