>>We're back with Jess Borgman of Starburst and Richard Jarvis of EVAs health. Okay. We're gonna get into lie. Number two, and that is this an open source based platform cannot give you the performance and control that you can get with a proprietary system. Is that a lie? Justin, the enterprise data warehouse has been pretty dominant and has evolved and matured. Its stack has mature over the years. Why is it not the default platform for data? >>Yeah, well, I think that's become a lie over time. So I, I think, you know, if we go back 10 or 12 years ago with the advent of the first data lake really around Hudu, that probably was true that you couldn't get the performance that you needed to run fast, interactive, SQL queries in a data lake. Now a lot's changed in 10 or 12 years. I remember in the very early days, people would say, you'll, you'll never get performance because you need to be column. You need to store data in a column format. And then, you know, column formats were introduced to, to data lake. You have Parque ORC file in aro that were created to ultimately deliver performance out of that. So, okay. We got, you know, largely over the performance hurdle, you know, more recently people will say, well, you don't have the ability to do updates and deletes like a traditional data warehouse. >>And now we've got the creation of new data formats, again, like iceberg and Delta and hoote that do allow for updates and delete. So I think the data lake has continued to mature. And I remember a quote from, you know, Kurt Monash many years ago where he said, you know, it takes six or seven years to build a functional database. I think that's that's right. And now we've had almost a decade go by. So, you know, these technologies have matured to really deliver very, very close to the same level performance and functionality of, of cloud data warehouses. So I think the, the reality is that's become a lie and now we have large giant hyperscale internet companies that, you know, don't have the traditional data warehouse at all. They do all of their analytics in a data lake. So I think we've, we've proven that it's very much possible today. >>Thank you for that. And so Richard, talk about your perspective as a practitioner in terms of what open brings you versus, I mean, the clothes is it's open as a moving target. I remember Unix used to be open systems and so it's, it is an evolving, you know, spectrum, but, but from your perspective, what does open give you that you can't get from a proprietary system where you are fearful of in a proprietary system? >>I, I suppose for me open buys us the ability to be unsure about the future, because one thing that's always true about technology is it evolves in a, a direction, slightly different to what people expect and what you don't want to end up done is backed itself into a corner that then prevents it from innovating. So if you have chosen the technology and you've stored trillions of records in that technology and suddenly a new way of processing or machine learning comes out, you wanna be able to take advantage your competitive edge might depend upon it. And so I suppose for us, we acknowledge that we don't have perfect vision of what the future might be. And so by backing open storage technologies, we can apply a number of different technologies to the processing of that data. And that gives us the ability to remain relevant, innovate on our data storage. And we have bought our way out of the, any performance concerns because we can use cloud scale infrastructure to scale up and scale down as we need. And so we don't have the concerns that we don't have enough hardware today to process what we want to do, want to achieve. We can just scale up when we need it and scale back down. So open source has really allowed us to maintain the being at the cutting edge. >>So Jess, let me play devil's advocate here a little bit, and I've talked to JAK about this and you know, obviously her vision is there's an open source that, that data mesh is open source, an open source tooling, and it's not a proprietary, you know, you're not gonna buy a data mesh. You're gonna build it with, with open source toolings and, and vendors like you are gonna support it, but come back to sort of today, you can get to market with a proprietary solution faster. I'm gonna make that statement. You tell me if it's a lie and then you can say, okay, we support Apache iceberg. We're gonna support open source tooling, take a company like VMware, not really in the data business, but how, the way they embraced Kubernetes and, and you know, every new open source thing that comes along, they say, we do that too. Why can't proprietary systems do that and be as effective? >>Yeah, well I think at least with the, within the data landscape saying that you can access open data formats like iceberg or, or others is, is a bit dis disingenuous because really what you're selling to your customer is a certain degree of performance, a certain SLA, and you know, those cloud data warehouses that can reach beyond their own proprietary storage drop all the performance that they were able to provide. So it is, it reminds me kind of, of, again, going back 10 or 12 years ago when everybody had a connector to hit and that they thought that was the solution, right? But the reality was, you know, a connector was not the same as running workloads in hit back then. And I think similarly, you know, being able to connect to an external table that lives in an open data format, you know, you're, you're not going to give it the performance that your customers are accustomed to. And at the end of the day, they're always going to be predisposed. They're always going to be incentivized to get that data ingested into the data warehouse, cuz that's where they have control. And you know, the bottom line is the database industry has really been built around vendor lockin. I mean, from the start, how, how many people love Oracle today, but our customers, nonetheless, I think, you know, lockin is, is, is part of this industry. And I think that's really what we're trying to change with open data formats. >>Well, it's interesting remind of when I, you know, I see the, the gas price, the TSR gas price I, I drive up and then I say, oh, that's the cash price credit card. I gotta pay 20 cents more, but okay. But so the, the argument then, so let me, let me come back to you, Justin. So what's wrong with saying, Hey, we support open data formats, but yeah, you're gonna get better performance if you, if you, you keep it into our closed system, are you saying that long term that's gonna come back and bite you cuz you're gonna end up, you mentioned Oracle, you mentioned Teradata. Yeah. That's by, by implication, you're saying that's where snowflake customers are headed. >>Yeah, absolutely. I think this is a movie that, you know, we've all seen before. At least those of us who've been in the industry long enough to, to see this movie play over a couple times. So I do think that's the future. And I think, you know, I loved what Richard said. I actually wrote it down. Cause I thought it was an amazing quote. He said, it buys us the ability to be unsure of the future. That that pretty much says it all the, the future is unknowable and the reality is using open data formats. You remain interoperable with any technology you want to utilize. If you want to use spark to train a machine learning model and you wanna use Starbust to query via sequel, that's totally cool. They can both work off the same exact, you know, data, data sets by contrast, if you're, you know, focused on a proprietary model, then you're kind of locked in again to that model. I think the same applies to data, sharing to data products, to a wide variety of, of aspects of the data landscape that a proprietary approach kind of closes you and, and locks you in. >>So I, I would say this Richard, I'd love to get your thoughts on it. Cause I talked to a lot of Oracle customers, not as many te data customers there, but, but a lot of Oracle customers and they, you know, they'll admit yeah, you know, the Jammin us on price and the license cost, but we do get value out of it. And so my question to you, Richard, is, is do the, let's call it data warehouse systems or the proprietary systems. Are they gonna deliver a greater ROI sooner? And is that in allure of, of that customers, you know, are attracted to, or can open platforms deliver as fast an ROI? >>I think the answer to that is it can depend a bit. It depends on your business's skillset. So we are lucky that we have a number of proprietary teams that work in databases that provide our operational data capability. And we have teams of analytics and big data experts who can work with open data sets and open data formats. And so for those different teams, they can get to an ROI more quickly with different technologies for the business though, we can't do better for our operational data stores than proprietary databases. Today we can back off very tight SLAs to them. We can demonstrate reliability from millions of hours of those databases being run at enterprise scale, but for an analytics workload where increasing our business is growing in that direction, we can't do better than open data formats with cloud-based data mesh type technologies. And so it's not a simple answer. That one will always be the right answer for our business. We definitely have times when proprietary databases provide a capability that we couldn't easily represent or replicate with open technologies. >>Yeah. Richard, stay with you. You mentioned, you know, you know, some things before that, that strike me, you know, the data brick snowflake, you know, thing is always a lot of fun for analysts like me. You've got data bricks coming at it. Richard, you mentioned you have a lot of rockstar, data engineers, data bricks coming at it from a data engineering heritage. You get snowflake coming at it from an analytics heritage. Those two worlds are, are colliding people like PJI Mohan said, you know what? I think it's actually harder to play in the data engineering. So IE, it's easier to for data engineering world to go into the analytics world versus the reverse, but thinking about up and coming engineers and developers preparing for this future of data engineering and data analytics, how, how should they be thinking about the future? What, what's your advice to those young people? >>So I think I'd probably fall back on general programming skill sets. So the advice that I saw years ago was if you have open source technologies, the pythons and Javas on your CV, you command a 20% pay, hike over people who can only do proprietary programming languages. And I think that's true of data technologies as well. And from a business point of view, that makes sense. I'd rather spend the money that I save on proprietary licenses on better engineers, because they can provide more value to the business that can innovate us beyond our competitors. So I think I would my advice to people who are starting here or trying to build teams to capitalize on data assets is begin with open license, free capabilities because they're very cheap to experiment with. And they generate a lot of interest from people who want to join you as a business. And you can make them very successful early, early doors with, with your analytics journey. >>It's interesting. Again, analysts like myself, we do a lot of TCO work and have over the last 20 plus years and in the world of Oracle, you know, normally it's the staff, that's the biggest nut in total cost of ownership, not an Oracle. It's the it's the license cost is by far the biggest component in the, in the blame pie. All right, Justin, help us close out this segment. We've been talking about this sort of data mesh open, closed snowflake data bricks. Where does Starburst sort of as this engine for the data lake data lake house, the data warehouse, it, it fit in this, in this world. >>Yeah. So our view on how the future ultimately unfolds is we think that data lakes will be a natural center of gravity for a lot of the reasons that we described open data formats, lowest total cost of ownership, because you get to choose the cheapest storage available to you. Maybe that's S3 or Azure data lake storage or Google cloud storage, or maybe it's on-prem object storage that you bought at a, at a really good price. So ultimately storing a lot of data in a data lake makes a lot of sense, but I think what makes our perspective unique is we still don't think you're gonna get everything there either. We think that basically centralization of all your data assets is just an impossible endeavor. And so you wanna be able to access data that lives outside of the lake as well. So we kind of think of the lake as maybe the biggest place by volume in terms of how much data you have, but to, to have comprehensive analytics and to truly understand your business and understanding holistically, you need to be able to go access other data sources as well. And so that's the role that we wanna play is to be a single point of access for our customers, provide the right level of fine grained access controls so that the right people have access to the right data and ultimately make it easy to discover and consume via, you know, the creation of data products as well. >>Great. Okay. Thanks guys. Right after this quick break, we're gonna be back to debate whether the cloud data model that we see emerging and the so-called modern data stack is really modern or is it the same wine new bottle when it comes to data architectures, you're watching the cube, the leader in enterprise and emerging tech coverage.

>> live from Anaheim, California. It's the queue covering nutanix dot next twenty nineteen. Brought to you by Nutanix. >> Welcome back, everyone to the cubes. Live coverage of dot Next at NUTANIX. We're here in Anaheim, California. I'm your host, Rebecca Knight were joined by Wendy M. Pfeiffer. She is the chief information officer at Nutanix. Thank you so much for coming on the Cube. Wendy, thank you for having me. And this is not your first time you this year. A Cube alum. >> I am a Cube alum. It's so much fun. It's kind of weird, though. We're inside of this Cuban outside of us is all the action in the Exposition Hall is kind of crazy and cool. >> It is that there's a lot of energy here. I want to start our conversation by taking you back in time to nineteen eighties. You growing up in Silicon Valley, you notice an advertisement in the newspaper that dead tree medium NASA wants ideas on how to organize its dashboard. Better for astronauts. Yeah, >> So they had a program called CD T I cockpit displays of traffic information and they were looking for innovative ideas to make what was really a very small display provide information for the shuttle astronauts as they were re entering the atmosphere. And so, if you can imagine coming back into the atmosphere, it very high speed. And there was concern that there would be a traffic in the area. Regular airplanes flying, you know, relatively much slower. And so how could the same air traffic displays that were used for aviators be sort of modified to give real time information? Teo the astronauts, I will tell you that I never contributed much to that project, but I discovered large scale computer systems. And I just love the idea of these things large networks, large computers on just the through the vast interconnectedness of things. And so that got me interested in technology, whereas before I thought I was interested in science and math. And it turns out, of course, there's some great synergy among those topics. >> So So the internship at NASA is what propelled your interest and really, what launched your career in technology? Yes. Now you are the CEO of Nutanix. This this amazing company thiss startup That's now billion dollars with the market cap in multiple billions of dollars. Yes. So talk a little bit about your experience as CEO and what and what in what you're hearing, particularly at this dot next show. Yeah, I think >> one of the things that's happening is we're all in the midst of a huge transformation in terms of how digital technology affects business and empowers and enables business and as CEOs were right in the middle of that Wei have. Many of us have tons of legacy equipment and things from vendors, but we also have this desire for leading digital transformation in our companies. And so companies like Nutanix and there aren't many companies like Nutanix, but technologies like ours bridge that gap. We can run the legacy workloads in on premise data centers on pick a vendor's hardware. But we can also run the same work loads on our operating system in public clouds. And so it's kind of the best of both worlds, and it bridges thes two worlds that CEOs have been struggling to bridge, and it does so in a way that doesn't require us to re train our people or find, you know, a small team of rocket scientists who are, you know, worth more than the GDP of small countries. So we're able Teo, actually execute. Still keep the lights on. Still do the the old school things that we need to do but also operate with excellence at that more modern end of the technology spectrum. That's huge. And I'm hearing that from so many folks all around the show, whether it's, you know, people who are responsible for infrastructure or Dev Ops kind of crosses all of those bridges. And and as Nutanix, the CEO, I get to represent how any company like ours a billion and a half dollars publicly traded company, can use technology to enable itself, because I use our technology to do all the things we need to do as a company. >> But that's exactly just what you're talking about. That balance that these companies need to strike with thinking about the maintenance, thinking about the storage, thinking about the protection, but then also thinking in a much more visionary in strategic way about how we really transform our business and get our and get the work done that we need to get done. Can you talk a little bit about the fact that these consumer technologies have really leapfrog the thie enterprise vendors and sort of embarrassing it, frankly, should be for these big technology behemoth that they haven't done more to make cooler, sleeker technologies? >> Absolutely. Oh, my gosh, this is my favorite topic. And it's why I have my smart here. So on this smartphone, this is a is an apple phone on this smartphone. I have a ton of applications and a ton of functionality, and you know, so I have Facebook on my smartphone, right? And I love Facebook. >> But when I >> downloaded and I started using Facebook, I didn't say, you know Oh my gosh, fall. Now I have my social media application. So there's no way I could use Twitter or Instagram or anything else because my standard is Facebook. And that's the only thing I'm going to use. No, no, no. I have a multitude of APS and I used them as I choose when I want to, in the way that I want Teo, those abs inherit things from this platform. They have access to my contact data. They understand my location if I allow them tio etcetera. So all of those things are unconsciously in what is actually a phone. Now try to get your desk phone to do that right? It doesn't. And yet in the enterprise space, we have vendors who are selling us for millions of dollars, desk phones, and those were supposed to be as performance delightful, interesting as this device. And then we have laptop computers and we have desktop computers. None of those things is even a third as interesting, engaging, useful and easy to use as this consumer attack, which, by the way, is a lot less expensive. I spend millions of dollars on a V audio visual room systems of conferencing technology, whereas when I go home I can se teoh Amazon or Google. Hey, you know Amazon. Show me my my shows. You know I can I can I can ask for any show I want to watch on TV. When I downloaded Pokey Mongo, I love playing video games and games. When I downloaded Pokemon go on my phone. I >> didn't have to >> watch, you know, five five minute video snippets to teach me how to install the application. Within minutes, I was, you know, catching all the Pokemon I could what in what is really a very complex application that also includes augmented reality. And so I think it's time that first of all the vendors who sell to us, who are so used to that every three years, the enterprise license agreement is renewed. Or, you know, Hey, we're a pick something, you know, a one hardware vendors shop. So we that's what we standardize on that is doing two things. One, they're killing their own industry, and they're also killing. They're they're ruining. It is ability to deliver and to be useful and transformative. Two companies way and it way also have to demand better way. Have to stop buying that Dunc. And we have to start finding ways whether we have to build it ourselves or using machine learning tools to train the machine on how to do these things that that enterprise it cos don't deliver to us. And we also need to look for vendors like Nutanix that build that bridge that allow us to stop worrying about Oh my gosh, You know, we've got to make this legacy thing work with this new thing. We don't have to worry about that so much anymore. And now we can focus on this user experience The interaction design what we might do within an ecosystem That is our own unique companies and our own unique set of systems and also ultimately allowing our people, which is what companies are made up of allowing our people to to have the experience that they want tohave, just like we do with our own devices. I can choose how I want to interact with this thing, and I can turn it off if I don't want to use it. >> So so much of what you're talking about is really about getting companies and then the leaders of these companies to think differently. And that is the biggest managerial challenge. And it's a challenge when you're in sales. And so how do you How do you approach that problem? Because it because you've really laid it out so clearly we are used, Teo, so much intuitiveness and ease and beauty in the technology that we use in our personal lives. And then we come to work way put up with a lot of junk. >> We do, right? I mean, like, I know you're not saying anything out loud, but I know you. You're agree without you here with your laptop on the table there. You know, first of >> all, our work forces are changing. Generally, we keep talking, at least in circles that I sit in about, you know, the millennials are entering the work force. No. You know, the Millennials and Jen Zy are already make up almost half of our workforce today and will be at that somewhere around. I think it's seventy percent by twenty, twenty five of the workforce, so >> they're already here. Those >> folks already have a different relationship with technology than my generation did my generation. And I'm a Magen axe, I think. Yeah. Um so my my hub to Exactly So the big >> hair A my generation. >> I >> watched the birth of some of these consumer technologies, but this next couple of generations grew up with him already in place. And so they don't even think about the fact that this is technology. This is dependent, just is just part of them. And so I think we need Thio, Throw off the old filters and get out of the way. It's a lot more about choice and self service and freedom and flexibility and a mixed portfolio. And there are so many ways to educate ourselves about those things if if we don't naturally have that instinct. But it starts with diverse thinking, diverse tools. I believe that whatever you know, PC Mac laptop tablet mobile device that you're comfortable with your company should enable you to use. And you should use the applications that that makes the most sense to that make you the most productive. And then it's his job or it's leaderships job to create that that really rich ecosystem, where those applications and tools have the nutrients that they need and the capabilities that they need to work together well, understanding how to create and maintain that ecosystem mean what is an ecosystem? It's this sort of happy accident of all sorts of creatures at various levels in the in the pyramid coming together and figuring out a way to cohabit and to survive and then, hopefully to thrive. And so no one can get too important. No one voice no one species. No one layer can be outsized compared to the others because of So what do you have? Well, you have a species collapse. They run out of the fuel that helps them to thrive. And so I think, of course, our planet at a macro level is an example of that. But our company's our families, our neighborhoods. All of those things are micro examples that that matched the macro and are dependant on the same laws of physics and science and so on in order to thrive in to function. >> Well, you're talking you You just highlighted the importance of diversity. And and you made this comment about No one person can get two important or no one part of the species. In fact, if you look at the tech landscape Ueno, who's too important and it's the pros who are who are running the show in a lot of ways. Still, I want to hear from you as a senior leader, a female senior leader in technology you noticed, >> and Theo the manicure. Yeah, >> but how? What? What do you see? What? Tell us what it's like. I mean, is it as bad as we hear? And, um, and and And how have you in your career overcome a lot of these challenges? And then how What do you see as your responsibility to the next generation who's coming up? >> Absolutely. So it is as bad as we hear. It's sometimes worse than we here. And I think that especially there are certain sectors of society and tech society where the bro culture that we've heard about is fully in play. What mitigates that is the human beings who make up the bro culture so often. These guys don't understand the the effect of all of them and mass, and so often they're just being natural. Many, especially start ups. The start of fuel. Silicon Valley, You know, they started with some great ideas and with some dreamers and often those those people with the great ideas and dreamers you know they are males, and what do you do? You get your buddies together. You know, when you get a little extra money, you get the next round of bodies. You invite people, you know, so >> there's a little >> bit of that syndrome that's happening. There are also wonderful incubators and fields where women are also in that start up mode, and I'm a member of the Board of Girls and Tech. We have a number of things like Way have an amplified competition that supports women, tech the entrepreneurs, so there's certainly more than just men. But the history has been that however, a lot of people talk about that For me, that's not the emphasis for me. The emphasis is on how we change our jobs and our definition of work in general. And this is so fascinating to me. >> I think we've been working for years >> and years on, you know, how do we get more women and stem and encourage girls to go through this path in school? You know, it turns out women and men are both equally interested in science and math and all those things. But the starting jobs and tech are are horrendous when it comes to matching women's interests in skills and this isthe stereo, I'm going to start stereotype here. I hate doing this, but in general terms, men tend to be able to work on things serially. They tend to have a singular focus and to appreciate the singular focus and so you can lay out a path first, your socks and your shoes and the guy will follow that, and we'LL master each step along the way. And that's that's a way that you know, it's stereotypically a lot of male brain brains. Progress for women, for female brains were multifaceted way sort of have this ability. I don't know if it's evolutionary or environment or whatever. I'm not like an expert, thank God. >> But we have this >> ability to multi task all the time. I could be, you know, holding my kid and, um, talking on the phone and, you know, making sure dinners cooking, okay. And, you know, maybe it's a business call, and I might be hiring someone or firing someone, and I'm giving equal focused attention to each very important task. And so we sort of have that that ability because we have that ability. That's the kind of job that you know. Okay, you enter college and you're taking a software development computer science, of course. And you take all computer science courses until you get that degree. And now you get your first software developer job and you sit in this little cubicle and all day long you write code. Well, you know, fine. If I've sort of have that single threaded mentality, I'm ready. All right. I guess I'm going to do this. I'm gonna Masters are >> gonna get through the layers >> of writing code as fast as I can and someday I'll rule the world or start my own company over on the female side, we say this is going to kill me. I don't want to do that. What a boring jobs. Because Because also, I'm interested in I'm interested in the Japanese language and I'm interested in design. And, you know, I love to cook. And also, you know, I'm just been working through, you know, theories of space and time and in my physics study, and to just have to focus my mind all by myself all day long in this cubicle on writing, you know, some part of a bigger program. It's not attractive. And so what we find is that women are dropping out of thes focus degree programs and they're dropping out of the early stages of technology careers. Which means that by the time you get to my stage, there is not a very few of us right, >> So you said we needed we need to change the definition of work. Yes, What does that mean? >> Well, the Millennials and Gen Z and countries that are that are very young, like some of the Eastern European countries that air, that air, just reinventing themselves. They've already done that. It's the gig economy. It's the idea that as an individual, I can choose the things I want to work on. We've tried Teo, sort of emulate that in in the agile methodologies right? I get to choose my tasks, but it's this sort of. It was taken the soul out of it. But this is really that independent contractors might be doing. You know a few things that once I might be designing shoes like one of my friends is she's she's created her own shoe company, and at the same time I might be writing code Azaz a gig for some other company. And you know what? I might also be involved in, you know, a charitable work. Or I might be volunteering at my kid's school and doing all of those things together at the same time in parallel is interesting to us. It's engaging to us. We put more. >> So how'd you do that? At your team at NUTANIX? How do you help your employees, uh, do all the things that they want to do in addition to obviously getting their work done? Yeah, well, It's always a >> balance right. One of the really important things is to create an environment of tools and technologies and processes that allow people to choose the things they want to choose. It's not always well understood. Some people say thank you. I get to use the tools I like. Other people say there's too many tools what we d'Oh. And so we try to find something down the middle for those guys. Exactly. Secondly, I hire and mentor leaders who are very diverse and open, and they're thinking so that we can constantly kind of reinvent ourselves as an I T organization. But ultimately it gets down to enabling culturally people to think differently, to raise their hand and say, You know, I am a network engineer, but I would like Tio automate this thing over here or, you know, I Yes, I'm a systems engineer, but I'd like to deploy the network, just allowing them to get out of their comfort zone and to experiment. It's also really important to understand the balance of it. People who choose it love engineering and love technology, but we'LL also love process and interaction, and so we're already this mash up of personality types. And, you know, I would say more multifaceted you are, the more you're able to play multiple sports or or have multiple skills or play offense and defense, then the more able you are to thrive in the new World in the new economy. And sometimes it's just finding those mavericks Or, you know, I like to say I'm a little civil, like, you know, I've >> got a little personalities and you know it. Sometimes you got >> to bring one of those personalities to the table. Sometimes you have to bring many of those personalities to the table, and it's gonna be okay for folks to do that. >> I love it. I love it. Great. Well, Wendy, thank you so much for coming on the Cube. It's always fun talking to you. Thank you. Appreciate it. I'm Rebecca Knight. You are watching the Cube. They'LL be much more to come

(upbeat techno music) >> Live from Bahrain, it's theCUBE. Covering AWS Summit Bahrain. Brought to you by Amazon Web Services. >> Okay welcome back everyone, we are here in Bahrain for exclusive coverage for AWS Summit, part of Amazon's new region being launched here in the Middle East. I'm John Furrier, your host, we have two great guests from C5 Accelerator in Washington D.C., now kicking it out in Bahrain. Hadyah Fathalla, executive director C5 Accelerate and Eva Dimitriadis, good to see you again. >> Thank you. >> Chief operating officer. >> Great to be here. >> Guys, congratulations. Bahrain, D.C. >> The world. >> The world, it's global. >> Thank you, yeah. >> C5 Global. >> It's great to be here. >> It's an exciting time. I mean, I got to ask you Eva, because we had previously met, talked about interviews in D.C. Smart people that known Amazon, because Teresa and Andy Jassy and Jeff Bezos always say, "We're going to be misunderstood for a while." Come on, that's not true. (laughing) A region in this area is going to explode the entrepreneurial scene. What's your take? >> I think that's absolutely true. As we see today at the Summit, there's just such a growing number of entrepreneurs and people who are excited to embrace digital innovation. Three years ago I think the story would have been different but ever since we set up the accelerator here, which was the first once in Bahrain, we've just seen an explosion of interest and not just from Bahrain but from around the GCC. Even start ups from abroad coming and setting up here as their Middle East practice. >> Talk about C5 for a second. Let's take a minute, to explain what you guys do. I jumped ahead a little bit because I'm excited because I just love the entrepreneurial energy. This is a really important thing happening and you guys are playing a role. Talk about C5 Accelerate, what are you guys doin'? What's your business model? Just take a minute to explain as a set up. >> So I'll let Eva talk maybe more about our global operations but really C5 Accelerate a few years ago, branch the business which was largely an investment business, including innovation business and we built Bahrain's first and one the regions, in fact, first cloud enabled accelerators and Bahrain's very first technology accelerator and we did that in partnership with the Economic Development Board, the labor firm Tamkeen and obviously with AWS. Really we benefited from the first mover advantage and the thinking around that was that as Amazon grows it's geographic footprint there is great opportunity to build on the cloud in places like the Middle East where the ecosystem is nascent and there is an amazing first mover advantage. >> Yeah. >> So when we partnered with the government to build this, we realized as we do that, we also need to contribute to building a healthy ecosystem so we built this first accelerator and we have felt-- >> When was that, by the way? >> 2016. >> Great, thank you. >> Actually September marks our two year. We've since graduated five cohorts. We're gearing up for six and we have 34 start ups under our belt. Our first cohort was an all Bahraini cohort and today we're very proud to say that actually half of the start ups that have graduated from this program that is based out of Bahrain are international start ups. That's what we're doing locally. Maybe Eva can tell you a little bit more about what we're doing on a global scale. >> You know and that's important. I want to make sure you got that out about having a bunch of start ups under your belt because when I went to the start up Bahrain session yesterday I was really, really impressed by two things. One is, just the smart energy, the smart people who like understand entrepreneurship. Either went to school for it or have learned through the scar tissue of trial and tribulations like myself. And then the entrepreneurs were there themselves. >> Mm-hmm. >> And you know a healthy entrepreneurial community when they start bitchin' and moanin', they're all chirping away, they're hungry. There's a hungry appetite for entrepreneurship here and creating but it's not fake entrepreneurship. They're really hungry. They're, where's the cash? Where's the capital? So this is really a positive sign. >> It is and I want to add something really quick before Eva jumps in, I think in the past two years what's great about a small ecosystem and the ability to pivot and build fast is you actually see the impact that you can have as an individual and as a company and as a community really on the landscape. But also regionally we've had great collaborative efforts across the GCC and in the region with partners in Saudi and Kuwait and Egypt and in Jordan so I think there's a lot of momentum that we're riding on now, and I think it's a great time to be building in the tech space. >> Well Eva, before you get to your comments. I just want to follow up on the comment around Saudi and different regions because this is a trend that has been happening for a while in Silicon Valley, as you know. People have been leaving Silicon Valley, because it's cost to live there, but people have been putting engineering teams outside of Silicon Valley. I mean, 20 years ago, you only went outside of Silicon Valley or the US to outsource which is not really product development, it's just coding. Then the trend became real engineering and product development, real chops outside. We just had Abdul on from Saudi and he was talking about his shape of his team, the psychology, the make up of the people, it's just not in Saudi Arabia. It's in China, it's all over the world. As developers are working across the world, this is a really big deal. I mean this is the new dynamic. >> Yep. >> Diverse teams, geo located, no borders, this is going to change the political landscape. It's a cultural shift. >> Definitely, I mean I think it's a while before we have here the same secret sauce that exists in Silicon Valley or that has existed there for the past decade or so. But the emphasis on training and upscaling is huge and as we've heard a number of times today, there are so many incentives to do so for free so you can actually learn to code, you can become a certified AWS coder for free in Bahrain. Which is a phenomenal advantage and step up. I mean, no one would pay me to do that in the UK. I think that, along with a number of other initiatives are really going to leap frog the development here. And in terms of what you talk about, the sort of the landscape and geo location, it goes in so many different directions now. There's no single focus so we had a Swiss company last year come and incorporate in Bahrain, and hire developers here to grow their business. It can go in so many different directions. >> Yeah, the winner take all business model is an old business model and now it's everyone's winning so it's a little bit of flattening of the wealth and the opportunities but the pie is getting bigger. >> Yes. >> I think this is the dynamic that cloud and Amazon continues to demonstrate that the Oracles, for instance, of the world, we got to win it all, lock everyone in and we got to own it. That ethos is not, that dog's not hunting, as they say. This is changing the entrepreneurial landscape and the other thing I observe is the younger generation. Leveling up is very easy to them. It's like a video game, right? Leveling up is AI, blockchain, I think one of your companies I talked to, oh we're doing a blockchain implementation. They will eat up the cloud. >> Mm. >> I mean it's going to be like, pretty fast. >> You mentioned-- >> So I'm expecting some accelerated. >> Definitely. I mean you mentioned hungry but they're also fearless. The entrepreneurs that we work with have that perfect mix of a super smart idea and an understanding of a niche sector of the market but also this resilience and recklessness that you need to embrace the opportunity. And all the scary stuff that comes with it. >> And I think adding to that, I think what's great with Amazon coming to Bahrain, with us working across the globe, it's a cross pollination that happens because whether we like it or not, like Eva said, we are not Silicon Valley yet and maybe we don't aspire to be specifically Silicon Valley and we want to build our own unique ecosystem but the lessons learned from the likes of Silicon Valley and London and Singapore and China and everywhere else in the world. >> Yeah. >> Really helps build, not just the skills required but the grit that could otherwise be absent. >> The grit's key, yeah. >> And it can engender the kind of cultural shift that's necessary so you need, so you can develop these robust and resilient qualities that are necessary for a founder. >> Well, that's a really great point. I moved from the east coast in the US to California with my first start up because that's where the action was and I can tell ya, I've been there 20 years and I've been an entrepreneur doing things ever since. And there's a fallacy of trying to emulate Silicon Valley. Every i dotted, t crossed and trying to take the playbook. There's no direct match, however, there's some consistencies in there. That's grit, creativity, openness, capital markets and community and this is something that you guys kind of have in place. And then adapting that to your culture. Now I will say that my impression here is it feels a little bit Silicon Valley because it's a little bit more open and loose. People like to go fast. Fast and loose is the Silicon Valley way. Dubai's a little bit more like New York to me. So I can feel more, valley-like here. I'm not saying that Dubai's bad, I'm just saying it's different cultures. Bigger, its more ... >> There's definitely a lot of agility here. I think one of the other advantages which leads back into what C5 is as a whole, we're primarily an investment business. We have a venture capital fund based in the UK. What we're really looking for is investible, scalable business models where we're de risking the cost of capital with cloud computing because that is how ultimately these start ups scale. Another benefit that we really see in this market is value for money. If you're a start up in Silicon Valley and you get to the stage that some of our start ups get to when they finish their program, your valuation is pretty much always triple what we would see here, so valuation's a very sensitive subject. Our start ups hate talking about it. We structure our deals with them in a way that generally avoids having a valuation. >> It's very easy to do business here. You just keep on increasing the valuation, all the stars will come dropping to your doorstep. >> It's a nuanced area. >> Yeah. >> But that being said, you can get really good value for money businesses but more importantly you're investing in the teams and the entrepreneurs and there's no shortage of that here. >> Let's talk about the ecosystem here and then let's talk about the women in tech because one of the things that blew me away yesterday was Teresa Carlson held a women breakfast and for the first time I got kicked off a table because they wanted to make room for the workshop. >> Sorry about that. (laughing) >> I'm like, wait a minute. This is not an inclusive environment. Sorry, no, we need the table. Okay, I know, I was happy to tap out. But I wasn't expecting that and the energy and the, just really, again, this event, they had to lock the doors for the keynote so there's really a big interest across the board. Talk about the ecosystem and then the women in tech situation. >> So I think the ecosystem is an interesting question because, I mean, we work very collaboratively. Like I said, even though this initiative largely was kind of envisioned by the government and mainly by the Economic Development Board and I'm sure you got a chance to speak to Khalid Humaidan, he might have given you a bit of an idea of how this started off but really the EBD threw this idea of start up Bahrain to the community and said, "Look, you guys lead on it." And it took a little bit of time for the community to figure out what that really means and what it's going to look like but it really made the community and ourselves also think pragmatically about what we want this ecosystem to look like. So even though it's not as mature, like I said, as other ecosystems further away and especially in the west, it is coming together very nicely because it's coming together as a collaborative effort. You see a very good continuous consultative work between private sector, public sector, the start ups and then the other stakeholders, including ourselves, and academia. We still have a long way to go, I think specially in areas and this is something that I always emphasize, is to shift the culture you really need to start at a much younger age so at schools, at universities. We engage with them and are keen to do more on that front but I think we are laying the foundation for what I hope in the next five, 10 years will be a pretty competitive entrepreneurial and start up-- >> It might be sooner. >> Hopefully sooner. >> Yeah. >> I think we have the right recipe now to build a robust ecosystem. >> Yeah, I can say I can attest to that after what I saw yesterday. Your thoughts? >> Yeah I mean our team in Bahrain is 100% Bahraini. I'm based in London, but Hadyah here leads a phenomenal team who are all Bahraini citizens. Being the island that it is, we know everybody so Hadyah's done an excellent job of engaging with everyone from schools to universities to post grads to public sector, private sector. So really all the stakeholders in the ecosystem are engaged and everyone from the oil and gas industry to the finance sphere are thinking about how innovation can advance their businesses so that they don't get left behind at the train station. >> Yeah. >> It's really top of mind and top of agenda which is a very invigorating scenario. I think, going back to some of the initiatives, from bankruptcy laws to having a fintech bay with the Central Bank of Bahrain, there's just so much, like they're constantly pushing the envelope to make this a friendly environment for entrepreneurs to come and do business. >> And I want to add one thing. There's always this question of, does government have a role to drive innovation and create an ecosystem? >> They do. >> I think Bahrain is a good example for others in the region and even beyond to say actually government does have an important role. >> They do. >> If you look at Bahrain, it's government that has been very flexible and nimble in terms of moving to accommodate. Whether it's the new bankruptcy laws or allowing for the fintech sandbox and a cloud first policy and shaping the start up Bahrain. The government has taken the lead on a lot of these initiatives so it's a good example of how there can be a top down approach to building an entrepreneurial landscape but also where the bottom needs to come and meet the top so I think Bahrain a good example. >> Just to reiterate, my observation is that they know how to get things going and sponsor but they're also listening and self aware and even on theCUBE here, we heard comments like, we'll get out of the way. >> Mm-hmm. >> Now that's the difference between good judgment. >> Mm-hmm. >> You know? And, no, no I funded you, I own you, I mean I've seen that in the public sector or, we're going to fund you as an NGO and then I kind of own you so come to my receptions and be my show horse-- >> Mascot. >> Show all of my people how good I am, donating money. So there's a little bit of a balance between enabling. >> Yep. >> But at the end of the day, this is going to be a fast pace and that's where I think the speed, knowing when to get out of the way and letting the community go. I mean, people like speed here. Cars are driving fast, you got a Formula 1 race track up at 14 months. >> They like speed but sometimes things are surprisingly slow. >> Yes. >> So it's incredible that we are where we are. You asked about women in tech and I think there's something there that we're really proud of. C5 globally, 43% of the start up founders that we've supported through our accelerators are women. In terms of diversity, we're thrilled about that statistic. We'd like it be 50%. >> Yep. >> And I think that the Middle East, we're seeing so much hunger from women entrepreneurs and women who want to learn to code to be founders and we want to do everything in our power to enable that. >> Computer science degrees coming out of the university? >> Absolutely. Hadyah here had this fantastic idea a year ago to found what we call C5 Nebula. I'll let Hadyah talk about why we came up with that name and how it relates to our business but this is now a new stream of our business which really it's a membership platform where all women globally are invited to join and we provide education, upscaling, jogs, connectivity, mentorships and through this network we are allowing a complete globalization of the talent and skills that we have. >> Yeah. >> So you can be a student in D.C. wanting to come and volunteer to work for a company here and we will make that match happen. I think it's a very exciting phase for us and we've seen so much demand for this program. Maybe Hadyah can talk about why we came up with this name? >> Yeah, so like Eva said, we, I'm Bahraini, we've always had, we've been lucky to have been pioneering and have work very closely men and have had really equal opportunity but in industries like tech, globally, women's representation is lower than that of men and there are areas where there's still work to be done. >> A lot of work to be done, yeah. >> So last year, actually, with the first AWS Summit, when Teresa was out here, we figured we do a women in tech breakfast. When we were curating that guest list we couldn't find that many women and we didn't know if wasn't that we didn't know them or that they didn't exist and we realized really we need to put together something to bring all the women together and work more closely so we built Nebula, really to, like Eva said, do three things and a little more. One is the connectivity side of things and then the upscaling but also to raise awareness and appreciation. >> What is Nebula? >> What is? >> What is Nebula? >> So Nebula, scientifically it's an astrological, astronomical phenomenon-- >> But it's your network group, is that what it's called? >> It's a platform. >> Okay. >> So it's actually been officially launched three weeks ago, you can go online and visit it and it's a platform that allows you to become a member of Nebula and gives you access to mentorship, to opportunities to upscale and train but also to raise awareness and appreciation for the amazing opportunities for women in the tech space. >> Is there a URL? >> There is a URL, it's-- >> We've been debating what is is today. (laughing) >> It's www.c5nebula.com. >> Okay, I'll put it up, publish it with the video. >> And what it means, it's the Latin word for cloud and it's where stars are born. >> Yeah. It's also, what's important, is it's a compilation of a bunch of different clouds and electrons and it's a mess, it's a bit of a mess but it's a lot of forces working together and I guess the moral of the story is, we can create stars in the space but we all have to work together and it all has to come together to-- >> And it's powerful when you work together. >> Only 10% of VC funding worldwide goes to women founder companies and 1% of that goes to women of color so there's some staggering statistics there. Globally, this is not a Middle East problem, this is globally a real big area of disparity that we're trying to help address. >> Well you guys know our door's open in California and Boston, and certainly the women in tech, we got a big network, we can merge them into the Nebula connect our networks. >> We would love that. >> We would love that. >> We're open and anything you guys have to share with us we love co-creating with the communities, that's what we do at theCUBE. Thanks for coming on and sharing. >> Thanks for having us. >> Thank you, John. It's been a pleasure. >> You got a great mission. Big supporter. C5 Accelerate, they're the ones on the ground, making things happen, gettin' those sparks of entrepreneurship and helping them capture them into one community, create some energy and some momentum and help people create value and also capture the value, that's what it's all about here. You got Amazon Web Services' region in the Middle East, CUBE coverage continues after this short break. (upbeat techno music)

(techy music) >> Live from Toronto, Canada, it's theCUBE covering Blockchain Futurist Conference 2018, brought to you by theCUBE. (techy music) >> Hello, everyone, and welcome back. This is the live CUBE coverage here in Toronto, Ontario here in Canada for the Untraceable Blockchain Futurist Conference. This is day two of wall-to-wall CUBE coverage. We've got great presentations going on, live content here on theCUBE as well as in the sessions, great networking, but more important all the thought leaders in the industry around the world are coming together to try to set the standards and set up a great future for cryptocurrency and blockchain in general. Our next two guests are very special guests for theCUBE and we're excited to have them on, the Honorable Wayne Caines, Minister of National Security for the government of Bermuda, and Kevin Richards, concierge on the Fintech business development manager, part of the Bermuda Business Development Agency. Thank you guys for coming on, really appreciate the time. >> Thanks very much. >> Thank you for having us. >> Why this is so important is that we heard your presentation onstage, for the folks, they can catch it online when they film it and record it, but the Bermuda opportunity has really emerged as a shining light around the world, specifically in the United States. In California, where I live, Silicon Valley, you guys are now having great progress in hosting companies and being crypto-friendly. Take a minute to explain what's happening, what's the current situation, why Bermuda, why now, what's developing? >> This has all happened over the last eight months. We were looking in November of 2017 to go in the space. In January we went to the World Economic Forum in Davos in Switzerland. When we went to Davos in Switzerland something very interesting happened. People kept coming up to us, I was like the Hound of the Baskerville, or the Pied Piper if you please, and so, so many people were coming up to us finding out more information about Bermuda. We realized that our plan that we thought we could phase in over 18 months, that it had to be accelerated. So, whilst we were at the World Economic Forum in Davos we said to people, "Listen, if you want to change the world, "if you want to help Bermuda to grow, if you're serious," this is a Thursday, "Meet us in Bermuda on the Monday morning." On the Monday morning there are 14 different people in the room. We sat in the room, we talked about what we wanted the world to be, how could Bermuda be in place, what are the needs in this industry, and by the Wednesday we had a complete and total framework, and so we split up into industries. Number one was ICOs, we wanted to look at how to regulate the ICO market. Number two, we wanted to look at digital asset exchanges or cryptocurrencies or how do we regulate security tokens and utility tokens and what do exchanges look like, how do we do exchanges in Bermuda, and then we wanted to talk about education and setting up incubators. And so, come fast forward to July, August, we have an ICO bill in place that allows us to look at setting up ICOs in Bermuda. We wanted to focus on the legal and the regulatory framework, so this is a nascent space. A number of people are concerned about the dark actors, and so we wanted to set up a jurisdiction that traded on our international reputation. Now, remember for the last 60 years reinsurance, finance, captives, hedge funds, people in the financial services market have been coming to Bermuda because that's what we do well. We were trading on the reputation of our country, and so we couldn't do anything to jeopardize that. And so, when we put in place the ICO legislation we had consultants from all over the world, people that were bastions and beasts in industry, in the ICO industry and in the crypto world came to Bermuda and helped us to develop the legislation around setting up an ICO. So, we passed the ICO legislation. The next phase was regulating cryptocurrencies, regulating digital assets, and we set up a piece of legislation called the Digital Asset Business Act, and that just regulates the digital asset space exchanges, and the last piece we wanted to do was a banking piece, and this is the last and we believe the most significant piece. We were talking to people and they were not able to open up bank accounts and they were not able to do, so we said, "Listen, "the Bermuda banking environment is very strong." Our banking partners were like, "Listen, "we love what you guys are doing, "but based on our corresponding banking relationships "we don't want to do anything to jeopardize that space," but how could we tell people to come to Bermuda, set up your company, and they can't open bank accounts? And so, we looked at, we just recently passed creating a new banking license that allows people to set up their business in Bermuda and set up banking relationships and set up bank accounts. That simply has to receive the governor's Royal Assent. As you know, Bermuda's still a British pan-territory, and financial matters have to get the okay of the Queen, and so that is in the final stages, but we're excited, we're seeing an influx, excuse me, a deluge of people coming to Bermuda to set up their companies in Bermuda. >> So, the first two pieces are in place, you have the legislation... >> Mm-hm. >> Mm-hm. >> You have the crypto piece, and now the banking's not yet, almost approved, right? >> It's there, it simply has to get the final sign-off, and we believe that it should take place within the next two weeks. So, by the time this goes to air and people see it we believe that piece will be in place. >> So, this is great news, so the historical perspective is you guys had a good reputation, you have things going on, now you added on a new piece not to compromise your existing relationships and build it on. What have you guys learned in the process, what did you discover, was it easy, was it hard, what are some of the learnings? >> What we've learnt is that KYC, know your customers, and the AML, anti-money laundering, and terrorist financing pieces, those are the critical pieces. People are looking in this space now for regulatory certainty, so when you're talking about people that are in the space that are doing ICOs of $500 million or exchanges that are becoming unicorns, a billion dollar entity in three months, they want a jurisdiction that has regulatory certainty. Not only do they want a jurisdiction with regulatory certainty, they want to open up the kimono. What has this country done in the past, what do they have to trade on? We're saying you can go to a number of countries in the world, but look at our reputation, what we're trading on, and so we wanted to create a space with regulatory certainty, and so we have a regulatory body in Bermuda called the Bermuda Monetary Authority, and they are an independent regulator that they penned the Digital Asset Business Act, and so the opportunity simply for people around the world saying, "Listen, we want to do an ICO, "we want to set up an exchange. "Where's a country that we can go to that has a solid reputation? Hold on, how many countries have law surrounding"-- >> Yeah. >> "The Digital Asset Business Act, how many ICO countries have laws. Guess what, Bermuda becomes a standout jurisdiction in that regard. >> Having a regulation signaling is really important, stability or comfort is one, but the one concern that we hear from entrepreneurs, including, you know, ourselves when we look at the market is service providers. You want to have enough service providers around the table so when I come in and domicile, say, in Bermuda you want to have the banking relationships, you want to have the fiduciary-- >> Yes. >> You want to have service providers, law firms and other people. >> Yes. >> How are you guys talking about that, is that already in place? How does that fit into the overall roadmap for your vision? >> I don't want to beat a horse (laughs) or beat a drum too much, that is what we do as a country. So, we have set up, whether it's a group of law firms and the Bermuda, excuse me, the Bermuda Monetary Authority, the Bermuda that's the register of companies that sets up the companies. We have Kevin, and Kevin will tell you about it, he leads our concierge team. So, it's one throat to choke, one person that needs, so when you come to really understand that the ease of business, a county that's business-friendly with a small country and with a small government it's about ease of reference. Kevin, tell us a little about the concierge team. >> It's like the Delaware of the glove, right? >> Absolutely. >> Come in, domicile, go and tell us how it works. >> I'll give you a little bit of background on what we do on the concierge side. So, one thing that we identified is that we want to make sure that we've got a structure and a very clearly defined roadmap for companies to follow so that process from when they first connect with the BDA in Bermuda to when they're incorporated and set up and moved to Bermuda to start running their business is a seamless process that has very clearly identifiable road marks of different criteria to get through. So, what I do as a concierge manager is I will identify who that company needs to connect with when they're on the ground in Bermuda, get those meetings set up for when they come down so that they have a very clearly mapped out day for their trip to Bermuda. So, they meet with the regulator, they meet with the government leaders, they meet with the folks who've put together legislation that, obviously you mentioned the service providers, so identifying who's the right law firm, corporate service provider, advisory firm on the ground in Bermuda, compliance company, and then making sure that depending on what that company wants to achieve out of their operation in Bermuda they've got an opportunity to connect with those partners on their first trip so that they can put that road map together for-- >> So, making it easy... >> Making it very easy to set up in Bermuda. >> So, walk me through, I want to come down, I want to do business-- >> Yeah. >> Like what I hear, what do I do? >> So, you send me an email and you say, "Listen, Wayne, we're looking at "doing an ICO launch in Bermuda. "I would like to meet with the regulator. "Can you put a couple law firms in place," in an email. I zip that over to Kevin or you go on our Fintech.bm website-- >> Yeah, I was going to say... >> Fintech.bm website, and Kevin literally organizes a meeting. So, when you come to Bermuda for your meeting you have a boardroom and all the key players will be in the boardroom. >> Got it. >> If you need somebody to pick you up at the airport, if you need a hotel, whatever you need from soup to nuts our team actually makes that available to you, so you're not running around trying to find different people to meet, everyone's there in the room. >> And the beauty of Bermuda is that, you know, the city of Hamilton's two square kilometers, so your ability to get a lot done in one day is, I think, second to nowhere else on the planet, and working with the BDA concierge team you're, you know, we connect with the client before they come down and make sure we identify what their needs are. >> The number one question I have to ask, and this is probably the most important for everyone, is do they have to wear Bermuda shorts? (laughs) >> When you come you tell us your size, you tell us what size and what color you want and we'll make sure, so the... I tell this story about the Bermuda shorts. The Bermuda shorts, Bermuda's always had to adapt and overcome. Bermuda, we have something called the Bermuda sloop and it's a sailing rig, and so we... The closest port to Bermuda is Cape Hatteras in North Carolina and we wanted to cut down the time of their voyage, so we created a sailing rig called the Bermuda rig or the Bermuda sloop. Over the years that has become the number one adopted rig on sailing boats. We've always had to adapt and become innovative. The Bermuda shorts were a way to adapt and to get through our very hot climate, and so if you look at just keep that in mind, the innovation of the Bermuda sloop and the Bermuda shorts. Now, this Fintech evolution is another step in that innovation and a way that we take what's going on in the world and adapt it to make it palatable for everyone. >> What's the brand promise for you guys when you look at when entrepreneurs out there and other major institutions, especially in the United States, again, Silicon Valley's one of the hottest issues around-- >> Yes. >> Startups for expansion, right now people are stalled, they don't know what to do, they hear Malta, they hear other things going on. What's the promise that you guys are making to the law firms and the people, entrepreneurs out there trying to establish and grow? >> The business proposition is this, you want a jurisdiction that is trading on years of solid regulation, a country and a government that understands business, how to be efficacious in business. When you come to Bermuda you are trading on a country that this is what we've done for a living. So, you don't have to worry about ethical government, is your money going to be safe. We have strong banking relationships, strong law firms, top tier law firms in Bermuda, but more importantly, we have legislation that is in place that allow you to have a secure environment with a clear regulatory framework. >> What should people look for as potentially might be gimmicks for other countries to promote that, you know, being the Delaware for the globe and domiciling, and what are some of the requirements? I mean, some have you've got to live there, you know, what are some of the things that are false promises that you hear from other potential areas that you guys see and don't have to require and put the pressure on someone? >> When you hear the people say, "We can turn your company around in the next day." That we don't require significant KYC and AML. Red flags immediately go up with the global regulatory bodies. We want when a person comes to Bermuda to know that we have set what we believe is called the Bermuda Standard. When you come to Bermuda you're going to have to jump through some legal and regulatory hoops. You can see regulation, the ICO regulation and the Digital Asset Business Act on BermudaLaws.bm. BermudaLaws.bm, and you can go through the legislation clause by clause to see if this meets your needs, how it will affect your business. It sets up clearly what the requirements are to be in Bermuda. >> What's the feedback from business, because you know, when you hear about certain things, that's why Delaware's so easy, easy to set up, source price all know how to do in a corporation, let's say in the United States-- >> We don't have the SEC handicaps that they have in America, going from jurisdiction to jurisdiction. You're dealing with a colony that allows you to be in a domicile that all of the key players finances... We have a number of the key elements that are Bermuda. We're creating a biosphere that allows a person to be in a key space, and this is, you have first move as advantage in Bermuda. We have a number of things that we're working on, like the Estonia model of e-residency, which we will call EID, that creates a space that you are in Bermuda in a space that is, it's protected, it's governed. We believe that when companies set up in Bermuda they are getting the most secure, the strongest business reputation that a country could have. >> The other thing I would add, I'll just say, you know, quality, certainty, and community is what that brand represents. So, you know, you've got that historical quality of what Bermuda brings as a business jurisdiction, you have the certainty of the regulation and that pathway to setting your company up and incorporating in Bermuda, and then the community piece is something that we've been working on to make sure that any of the players that are coming to Bermuda and connecting with Bermuda and setting up there, they feel like they're really integrated into that whole community in Bermuda, whether it be from the government side, the private sector side. You can see it with the companies that have set up that are here today, you know, they really have embraced that Bermuda culture, the Bermuda shorts, and what we're really trying to do as a jurisdiction in the tech space. >> What can I expect if I domicile in Bermuda from a company perspective, what do I have to forecast? What's the budget, what do I got to do, what's my expectation? Allocate resources, what's going to be reporting, can you just give us some color commentary? >> So, with reference, it depends what you're trying to do, and so there will be different requirements for the ICO legislation. For the ICO legislation a key piece of the document actually is the whitepaper. Within the whitepaper you will settle what your scope of business is, what do you want to do, what you know, everything, everything that you require will be settled in your whitepaper. After the whitepaper is approved and if it is indeed successful, you go to the Bermuda Monetary Authority and they will outline what they require of you, and very shortly thereafter you will able to set up and do business in Bermuda. With reference to the digital asset exchanges, the Digital Asset Business Act, such a clear guideline, so you're going to need to have a key man in Bermuda, a key woman in Bermuda. >> Yeah. >> You're going to need to have a place of presence in Bermuda, so there are normal requirements-- >> There's levels of requirements based upon the scope. >> Absolutely. >> So, if you run an exchange it has to be like ghosting there. >> Yeah, yeah, you need boots on the ground. >> And that's why the AML and the KYC piece is so important. >> Yeah. Well, I'm super excited, I think this is a great progress and this has been a big uncertainty, you know, what does this signal. People have, you know, cognitive dissonance around some-- >> Yes. >> Of the decisions they're making, and I've seen entrepreneurs flip flop between Liechtenstein, Malta, Caymans. >> Right. >> You know, so this is a real concern and you guys want to be that place. >> Not only, we will say this, Bermuda is open for business, but remember, when you see the requirements that we have some companies won't meet the standard. We're not going to alter the standard to accommodate a business that might not be what we believe is best for Bermuda, and we believe that once people see the standard, the Bermuda Standard, it'll cascade down and we believe that high tides raises all boats. >> Yeah. >> We have a global standard, and if a company meets it we will be happy for them to set up and do business in Bermuda. >> Well, I got to say, it's looking certainly that leaders like Grant Fondo in Silicon Valley and others have heard good things. >> Yeah. >> How's been the reaction for some of the folks on the East Coast, in New York and around the United States and around the world? What has been some of the commentary, what's been the anecdotal feedback that you've heard? >> We're meeting three and four companies every day of the week. Our runway is full of Fintech companies coming to Bermuda, from... We have insurtech companies that are coming in Bermuda, people are coming to Bermuda for think tanks, to set up incubators and to do exploratory meetings, and so we're seeing a huge interest in Bermuda the likes have not been seen in the last 20 years in Bermuda. >> Well, it's been a pleasure chatting with you and thanks for sharing the update and congratulations. We'll keep in touch, we're following your progress from California, we'll follow up again. The Honorable Wayne Caines, the Minister of National Security of the government of Bermuda, and Kevin Richards, concierge taking care of business, making it easy for people. >> Oh, yeah, oh, yeah. >> We'll see, I'm going to come down, give me the demo. >> We're open for business and we're looking forward to seeing everybody. (laughs) >> Thank you for the opportunity. >> Thank you very much. >> Thank you. >> Major developments happening in the blockchain, crypto space. We're starting to see formation clarity around, standards around traditional structures but not so traditional. It's not your grandfather's traditional model. This is what's great about blockchain and crypto. CUBE coverage here, I'm John Furrier, thanks for watching, stay with us. More day two coverage after this short break. (techy music)

(upbeat music) >> From San Francisco, it's The Cube, covering Girls in Tech Catalyst Conference. Brought to you by Girls in Tech. >> Hey welcome back everybody, Jeff Frick here, with The Cube. We're at Downtown San Francisco, Girls in Tech Catalyst. Great event. We've been coming for a couple of years. About 700 professionals, mainly women, a few men, and I think they brought in a busload of kids to get inspired, talking about their stories, and really, it's a series. It's a one-track conference, two days, about 20 minute talks and really good stuff. Really great content. Check it out online if you didn't register this year. Make sure you come next year, and we're excited to have our next guest, Cube alum, really from one of the hottest companies in tech right now, she's Wendy Pfeifer, the CIO of Nutanix. Wendy, great to see you again. >> Hey, nice to see you, Jeff. >> Absolutely, so we see you at Nutanix Next all the time, but we haven't seen you at Girls in Tech. >> Yeah. >> So how long have you been involved in Girls in Tech? >> So, I've been involved since the very first meet up, more than 10 years ago. Girls in Tech was very inspiring to me, and I was here at the Catalyst Conference last year, and I'm a member of the board of Girls in Tech as well, so I'm able to give back and provide some leadership at that level. >> So we just had Adriana on, and she was going through-- >> Yeah. >> Some of the numbers, I mean, the growth of this organization, second to Nutanix, is off the chart. >> Yeah. >> I mean, really amazing. >> It really is amazing, you know. In some ways our time has come. Adriana's had this big vision for a really long time. Really focused on educating women, helping them to understand the potential of careers in tech, and technology knowledge, and that's a global message, and a message that resonates at every age level, and in lots of different sectors of society, so it's juts a privilege to be able to partner with her and others on the board, to enable the vision, and Nutanix as well, you know, is donating, is present here at these conferences, and partnering at Catalyst and Amplify, and other parts of the organization. >> Right, because it's not only the right thing to do, it's also good business, which has been proven time and time again. >> Absolutely, and you know, it's kind of taken on this passion, mission, just excitement thing, but it is practical as well and you know, all the studies, I'm sure so many folks have talked with you about this. There's so many studies, there's so much research that says diversity brings better decision-making, better product development. >> Right. >> And better satisfaction in our work environments as well. >> Right. The other thing that struck me talking to Adriana, and I guess I just didn't know, kind of the breadth of types of activities that Girls in Tech's put on. So we've been to Catalyst before. We've been to-- the Pitch Night, Amplify-- >> Amplify, yeah. >> But I didn't know, she's running, you know, there's all kinds of different-- types of things. >> Absolutely. I think the underlying passion is for education. If you think about, particularly people in underserved communities, there is a real opportunity, you know coding, and learning to code, learning to interact with computers; that's a language that transcends geographic boundaries, ethnic boundaries, age, and religious boundaries, and it's something that, you know ever since my days at Yahoo, I really felt like technology could bring the world together, and today in particular, there is so much disparity between women and men and their access to technology education and technology careers. >> Right. >> That this is, you know, more than just creating a level playing field. I think we're making our own playing field. We're not going to their playing field, anymore. We're creating our own at locations like this. >> Right, and clearly a bunch of founders are here today, who've-- >> Yeah. >> Started their own companies. But the other thing I think is interesting, is culture keeps coming up time and time again in all these conversations, and Adriana's built a culture starting, always from the top down, with the board. It's a phenomenal board of professional women-- >> Yes. >> That she's pulled together of this organization. >> Yeah, there are a couple of males on the board, too. I want to make sure I point out. >> Yep. >> Because we're a diverse board as well, but she has. She has brought together people who are leaders in the technology space, but also folks who are passionate about building a healthy nonprofit organization; one that's global, one that can scale, and so we also look at the fundamentals, and the business fundamentals as well, so we are expanding from 60 to 100 countries, and from 100,000 members to 200,000 members, I mean, who would think, right? >> Right, right, right. >> It's extraordinary. Even then, though, those 200,000 women are a drop in the bucket, compared to the 50% of the global population-- >> Right. >> Who are female. >> Right. And then you work at Nutanix. Super hot-- >> Yeah. >> I don't want to say startup anymore. You guys have IPO'd. >> Right, right. >> But, you know, but you're livin' it in terms of trying to get enough, good, qualified talent-- >> Yes. >> Just to feed the one engine that I Nutanix, so it's a real-- >> Yeah. >> Demand in the market place. >> Definitely, that's the case, you know, we sort of struggle with the thought, you know, are there just not enough women candidates in these fields, but what we learn at conferences like this is, that there are enough women candidates, but we don't necessarily recognize those women, and we don't know where to find them, and they may not find the sort of work that we represent to be attractive. And so we're sort of trying to change how we speak and think. Culture is a good word, but it's a revolution. It's a cultural revolution in terms of identifying talent where it sits. We spoke a lot in the last day and a half around blended careers, the bringing together of art and technology, or communication and technology, and the fact is that technology just underscores everything we do-- >> Right. >> Nowadays. >> Right. >> And so, you know, having people who can blend those things, is a real advantage, and women have this ability to take a multi-faceted approach to the work that we do and the way that we live our lives. We multi-task as a sport. >> Right, right. It's interesting, too, as the machines get better and as A.I. gets better, machine learning, the softer skills applied with the context become so much more important than necessarily just the super hard-core coding skills. >> You know, I have a story around that. So, we've just deployed, my IT department has deployed a machine-learning tool at Nutanix, to replace a lot of the interactions that happen on our help desk, and we found we just couldn't scale as the company was scaling, so we've been training A.I. from a company called Moveworks, and you know, we've been training it uniquely with our voice, and I think a little bit with my voice, and I just had one of our employees write back to me and say, "Not only is this thing", we call it Xbot, "Not only is Xbot solving my problems, but", he said, "she is pretty sassy, too." And I'm like, yay, he knows it's a she! >> Right, right. >> Right, and she's sassy too, so yeah, that unique voice-- >> Right. >> Is infusing even the machine-learning training that we're doing-- >> Right. >> And I think that makes for a more delightful experience-- >> Right. >> For all of us. >> It's funny, the voice thing, 'cause you know, Google had their very famous, the restaurant reservation call-in demo-- >> Yes! >> They got capped on a little bit-- >> Right. >> For, you know, was it real or not, but what made it so, so dramatic was the human-like elements in the conversation of the machine-- with ums, and ahs-- >> Absolutely. >> And uhs, and pauses, which we laugh about, 'cause we can shoot Cube interviews, everybody wants to cut those parts out, and we're like no, that's what makes people, people. >> Right, exactly, I agree with you. And at the same time, you know, there are, you know, things that are uniquely female stereotypes. We're more wordy. We have more things to say. >> Right. >> You know, we're more multi-dimensional. We can hold two thoughts at the same time, and so that's part of the richness of communication and our interaction too, but to the extent to which we can embed that in our technologies and our interactions, those are the extent to which they'll be more delightful-- >> Right. >> It's no coincidence that Siri and Cortana and all of those A.I.s sort of have this female persona, and I don't know if you know this, the, you know, Cortana, who's the Microsoft, you know, A.I., you know, she's voiced by the same character that's Cortana in one of their video games-- >> Oh, really? >> And she's sort of this like, badass fighter gal, too, so check it out. >> Well, we know what happened to Bob, right? >> Right. >> I know, poor Bob. >> Which, ironically, was Melinda Gates's project. Which, I don't know if you knew-- that story. >> I did not know that. >> So yeah, Melinda Gates's introduction to Bill was as product manager for Bob, which, if you don't know that story, check it out. It's old history. >> Oh, that's-- fantastic! >> But it's very good. Alright, before I let you go, one last thing. >> Yes. >> So you spoke, and they've got these great posters all around the room with little highlights from people's-- >> Yes. >> Conversations and yours was, I described it off the wall, "It's okay to be bad." >> Yes. >> I'd love, for the people that missed it, what's the message there? It's an important message. >> Yeah. >> Especially for women. >> Yeah, I think as women, you know, we don't have a lot of role models and when I get up as a role model, I'm one of the few CIO's who's female and Silicon Valley. You know, we give these speeches, and they sort of make us like Mother Teresa, you know. First you hae your mission in mind, and you lean in, and you do all these awesome things. But the fact is, it is actually okay, to be yourself. It's okay to be bitchy. It's okay to be cranky. It's okay for anger to fuel you. It's okay to be aggressive, and even if your male counterparts tell you otherwise, or say, "Wow, that's "unseemly.", I think it's just okay. We don't have to be pure and perfect in order to be successful. I can be those things all at the same time. And I also say, it's also okay to be good, to be merciful, to be soft-spoken, to be wordy, to be studious; that combination of things. We're allowed to be our genuine selves, and we don't have to be perfect to be successful and I feel like I embody that-- in particular. >> Yes, you certainly do. You certainly do! >> What, I'm not perfect? >> Yes, I mean the Nutanix story is a phenomenal story. >> It is. We are fortunate, we've been there since the beginning-- >> Absolutely. >> Watching it grow, and so no-- >> Helping us to frame the story, so thanks to The Cube. I appreciate that. >> Well, and you're super successful, and the company's successful so the fact that are Wendy, you know, you are who you are. You're a big personality, and it comes through, and it's great, and it works, and you're successful, so, if they need someone to look up to, you're certainly a fantastic role model. >> Thank you so much. Well I appreciate that. It's funny, 'cause I have never tried to be a role model, and now, just by accident, I've survived long enough. Here I am. (both laughing) >> Well that's a whole different conversation-- >> Right, right. >> You just look around like, I am the oldest guy in the room. But that's a different thing. >> I know. You're actually the only guy, just sayin'. >> Alright, well Wendy thanks for takin' a few minutes, and I guess we'll see you next at Nutanix next, if not sooner. >> I look forward to it, thanks. >> Alright, thanks. She's Wendy, I'm Jeff, you're watching The Cube from women, or Girls in Tech Catalyst 2018. (upbeat music)

(upbeat music) >> From San Francisco, it's The Cube, covering Girls in Tech Catalyst Conference. Brought to you by Girls in Tech. >> Hey welcome back everybody, Jeff Frick here, with The Cube. We're at Downtown San Francisco, Girls in Tech Catalyst. Great event. We've been coming for a couple of years. About 700 professionals, mainly women, a few men, and I think they brought in a busload of kids to get inspired, talking about their stories, and really, it's a series. It's a one-track conference, two days, about 20 minute talks and really good stuff. Really great content. Check it out online if you didn't register this year. Make sure you come next year, and we're excited to have our next guest, Cube alum, really from one of the hottest companies in tech right now, she's Wendy Pfeifer, the CIO of Nutanix. Wendy, great to see you again. >> Hey, nice to see you, Jeff. >> Absolutely, so we see you at Nutanix Next all the time, but we haven't seen you at Girls in Tech. >> Yeah. >> So how long have you been involved in Girls in Tech? >> So, I've been involved since the very first meet up, more than 10 years ago. Girls in Tech was very inspiring to me, and I was here at the Catalyst Conference last year, and I'm a member of the board of Girls in Tech as well, so I'm able to give back and provide some leadership at that level. >> So we just had Adriana on, and she was going through-- >> Yeah. >> Some of the numbers, I mean, the growth of this organization, second to Nutanix, is off the chart. >> Yeah. >> I mean, really amazing. >> It really is amazing, you know. In some ways our time has come. Adriana's had this big vision for a really long time. Really focused on educating women, helping them to understand the potential of careers in tech, and technology knowledge, and that's a global message, and a message that resonates at every age level, and in lots of different sectors of society, so it's juts a privilege to be able to partner with her and others on the board, to enable the vision, and Nutanix as well, you know, is donating, is present here at these conferences, and partnering at Catalyst and Amplify, and other parts of the organization. >> Right, because it's not only the right thing to do, it's also good business, which has been proven time and time again. >> Absolutely, and you know, it's kind of taken on this passion, mission, just excitement thing, but it is practical as well and you know, all the studies, I'm sure so many folks have talked with you about this. There's so many studies, there's so much research that says diversity brings better decision-making, better product development. >> Right. >> And better satisfaction in our work environments as well. >> Right. The other thing that struck me talking to Adriana, and I guess I just didn't know, kind of the breadth of types of activities that Girls in Tech's put on. So we've been to Catalyst before. We've been to-- the Pitch Night, Amplify-- >> Amplify, yeah. >> But I didn't know, she's running, you know, there's all kinds of different-- types of things. >> Absolutely. I think the underlying passion is for education. If you think about, particularly people in underserved communities, there is a real opportunity, you know coding, and learning to code, learning to interact with computers; that's a language that transcends geographic boundaries, ethnic boundaries, age, and religious boundaries, and it's something that, you know ever since my days at Yahoo, I really felt like technology could bring the world together, and today in particular, there is so much disparity between women and men and their access to technology education and technology careers. >> Right. >> That this is, you know, more than just creating a level playing field. I think we're making our own playing field. We're not going to their playing field, anymore. We're creating our own at locations like this. >> Right, and clearly a bunch of founders are here today, who've-- >> Yeah. >> Started their own companies. But the other thing I think is interesting, is culture keeps coming up time and time again in all these conversations, and Adriana's built a culture starting, always from the top down, with the board. It's a phenomenal board of professional women-- >> Yes. >> That she's pulled together of this organization. >> Yeah, there are a couple of males on the board, too. I want to make sure I point out. >> Yep. >> Because we're a diverse board as well, but she has. She has brought together people who are leaders in the technology space, but also folks who are passionate about building a healthy nonprofit organization; one that's global, one that can scale, and so we also look at the fundamentals, and the business fundamentals as well, so we are expanding from 60 to 100 countries, and from 100,000 members to 200,000 members, I mean, who would think, right? >> Right, right, right. >> It's extraordinary. Even then, though, those 200,000 women are a drop in the bucket, compared to the 50% of the global population-- >> Right. >> Who are female. >> Right. And then you work at Nutanix. Super hot-- >> Yeah. >> I don't want to say startup anymore. You guys have IPO'd. >> Right, right. >> But, you know, but you're livin' it in terms of trying to get enough, good, qualified talent-- >> Yes. >> Just to feed the one engine that I Nutanix, so it's a real-- >> Yeah. >> Demand in the market place. >> Definitely, that's the case, you know, we sort of struggle with the thought, you know, are there just not enough women candidates in these fields, but what we learn at conferences like this is, that there are enough women candidates, but we don't necessarily recognize those women, and we don't know where to find them, and they may not find the sort of work that we represent to be attractive. And so we're sort of trying to change how we speak and think. Culture is a good word, but it's a revolution. It's a cultural revolution in terms of identifying talent where it sits. We spoke a lot in the last day and a half around blended careers, the bringing together of art and technology, or communication and technology, and the fact is that technology just underscores everything we do-- >> Right. >> Nowadays. >> Right. >> And so, you know, having people who can blend those things, is a real advantage, and women have this ability to take a multi-faceted approach to the work that we do and the way that we live our lives. We multi-task as a sport. >> Right, right. It's interesting, too, as the machines get better and as A.I. gets better, machine learning, the softer skills applied with the context become so much more important than necessarily just the super hard-core coding skills. >> You know, I have a story around that. So, we've just deployed, my IT department has deployed a machine-learning tool at Nutanix, to replace a lot of the interactions that happen on our help desk, and we found we just couldn't scale as the company was scaling, so we've been training A.I. from a company called Moveworks, and you know, we've been training it uniquely with our voice, and I think a little bit with my voice, and I just had one of our employees write back to me and say, "Not only is this thing", we call it Xbot, "Not only is Xbot solving my problems, but", he said, "she is pretty sassy, too." And I'm like, yay, he knows it's a she! >> Right, right. >> Right, and she's sassy too, so yeah, that unique voice-- >> Right. >> Is infusing even the machine-learning training that we're doing-- >> Right. >> And I think that makes for a more delightful experience-- >> Right. >> For all of us. >> It's funny, the voice thing, 'cause you know, Google had their very famous, the restaurant reservation call-in demo-- >> Yes! >> They got capped on a little bit-- >> Right. >> For, you know, was it real or not, but what made it so, so dramatic was the human-like elements in the conversation of the machine-- with ums, and ahs-- >> Absolutely. >> And uhs, and pauses, which we laugh about, 'cause we can shoot Cube interviews, everybody wants to cut those parts out, and we're like no, that's what makes people, people. >> Right, exactly, I agree with you. And at the same time, you know, there are, you know, things that are uniquely female stereotypes. We're more wordy. We have more things to say. >> Right. >> You know, we're more multi-dimensional. We can hold two thoughts at the same time, and so that's part of the richness of communication and our interaction too, but to the extent to which we can embed that in our technologies and our interactions, those are the extent to which they'll be more delightful-- >> Right. >> It's no coincidence that Siri and Cortana and all of those A.I.s sort of have this female persona, and I don't know if you know this, the, you know, Cortana, who's the Microsoft, you know, A.I., you know, she's voiced by the same character that's Cortana in one of their video games-- >> Oh, really? >> And she's sort of this like, badass fighter gal, too, so check it out. >> Well, we know what happened to Bob, right? >> Right. >> I know, poor Bob. >> Which, ironically, was Melinda Gates's project. Which, I don't know if you knew-- that story. >> I did not know that. >> So yeah, Melinda Gates's introduction to Bill was as product manager for Bob, which, if you don't know that story, check it out. It's old history. >> Oh, that's-- fantastic! >> But it's very good. Alright, before I let you go, one last thing. >> Yes. >> So you spoke, and they've got these great posters all around the room with little highlights from people's-- >> Yes. >> Conversations and yours was, I described it off the wall, "It's okay to be bad." >> Yes. >> I'd love, for the people that missed it, what's the message there? It's an important message. >> Yeah. >> Especially for women. >> Yeah, I think as women, you know, we don't have a lot of role models and when I get up as a role model, I'm one of the few CIO's who's female and Silicon Valley. You know, we give these speeches, and they sort of make us like Mother Teresa, you know. First you hae your mission in mind, and you lean in, and you do all these awesome things. But the fact is, it is actually okay, to be yourself. It's okay to be bitchy. It's okay to be cranky. It's okay for anger to fuel you. It's okay to be aggressive, and even if your male counterparts tell you otherwise, or say, "Wow, that's "unseemly.", I think it's just okay. We don't have to be pure and perfect in order to be successful. I can be those things all at the same time. And I also say, it's also okay to be good, to be merciful, to be soft-spoken, to be wordy, to be studious; that combination of things. We're allowed to be our genuine selves, and we don't have to be perfect to be successful and I feel like I embody that-- in particular. >> Yes, you certainly do. You certainly do! >> What, I'm not perfect? >> Yes, I mean the Nutanix story is a phenomenal story. >> It is. We are fortunate, we've been there since the beginning-- >> Absolutely. >> Watching it grow, and so no-- >> Helping us to frame the story, so thanks to The Cube. I appreciate that. >> Well, and you're super successful, and the company's successful so the fact that are Wendy, you know, you are who you are. You're a big personality, and it comes through, and it's great, and it works, and you're successful, so, if they need someone to look up to, you're certainly a fantastic role model. >> Thank you so much. Well I appreciate that. It's funny, 'cause I have never tried to be a role model, and now, just by accident, I've survived long enough. Here I am. (both laughing) >> Well that's a whole different conversation-- >> Right, right. >> You just look around like, I am the oldest guy in the room. But that's a different thing. >> I know. You're actually the only guy, just sayin'. >> Alright, well Wendy thanks for takin' a few minutes, and I guess we'll see you next at Nutanix next, if not sooner. >> I look forward to it, thanks. >> Alright, thanks. She's Wendy, I'm Jeff, you're watching The Cube from women, or Girls in Tech Catalyst 2018. (upbeat music)

(click) >> Welcome this special Cube conversation in the Intel Tech Lounge at the Sundance Film Festival. I'm John Furrier with The Cube. We are here with Ari Kuschnir, who is the founder and managing partner of Missing Pieces. Doing some really amazing work on the future of filmmaking. He's got a great entrepreneurial spirit. And creative desire to deliver great product. Welcome! >> Thank you, thank you. >> So, tell them about Missing Pieces and what's going on in your world. So, there's context. Take a minute to explain what you are working on. >> Well, the premise is to be at this intersection of storytelling technology. And to make stuff people actually want to watch. And VR and AR are parts of it. But not the whole. So, I know some of the conversation focus is on, is on VR, and we're just as excited about where storytelling is headed. In terms of what technology allows us to do. But the key for me is. I'm just passionate about, a new thing comes out. And I want to figure out how to make something really great. But meaningful, and powerful with that. >> We were talking before you came out about filmmaking, obviously trained in the discipline, obviously a variety of other things. But I want to get your perspective, we're on top of this new generation, what does that mean to you? When you hear that new generation, a new creative is coming? What does that mean to you? >> Yeah, I feel like I've ridden the wave of the thing as it's happened. And I mean, the company has too. So, I went to film school in the late 90s. And it was the first time you could buy like, first Final Cut, and the first wave of that. So you could make art little movies on the weekend, you no longer needed even to go to the school itself to borrow the equipment. That was revolutionary in 1999. And then 2005, when we started thinking about the company. You know, your Vimeo, YouTube, video i-Pod all come out within five months of each other. Towards the later part of the year. And it's a revolution. It's clear that with distribution, now not only can we make it and edit it in our laptops. But we can put it out, and millions of people could watch it. And that was the first time that was possible. And it was revolutionary. And I think it still is, to some degree. So, we've just, you know, as it evolves what I see is that, it's not, I've always felt like it's not enough to make the sausage as they say. You know, the directors, the talent that I sign now. Like the project we have now here at Sundance, young Jake. Jake is a great example of a creative who you can't fit in a box. He's an Internet artist, he's a rapper. He's an interactive video maker. He did an app called Emoji.Ink. And he does celebrity emoji portraits. He has a hundred thousand followers on Instagram. So, he can command his own audience. So, when a brand, or an agency comes to him. It's a very different approach than when they come for a very straight up work for hire, director's commercial kind of thing. That is the future, I mean. The future is about having a passionate audience, making things for that audience, understanding it. And being able to communicate with them on a daily basis, or a weekly basis in a powerful way, right? Through story. >> Yeah, I mean, you're riding the wave. And the waves are getting bigger. One of the things we do, we do a lot of tech coverage. And we see this in Cloud computing where software changed from Waterfall to Agile. And now the craft's coming back on the software side. But still now, software is eating the creative world. Because now a new wave is coming. So, speak to that, because you're, this is, you can almost look at the old ways. You mentioned the commercials and films. Almost like the Waterfall. You know, crafts, craft it up and you ship it. And you hope it works well. >> Ari: Yeah. >> But now, you have this new model of iteration. Where it's more Agile creative. How do you do Agile, like your artist, and not lose the craft? >> Yeah, well it's a challenge. Look, I've had so many opportunities in our 10 plus year career to kind of go in that direction of just like quantity over quality. And we could just never do it. I mean we're just not cut out for it. But at the same time, I'm not, I never ignore, how to optimize the content based on data, and based on what the landscape is looking like. So, an important thing for example that we consider in every project is context. Like what, how is this project going to be released? Oh, it turns out that, it's really a big social media push. It's not a TV thing. Or it turns out specifically it's Facebook versus Instagram. And that's a very different type of edit. And a very different type of way you start the video. 'Cause you've got a certain, even a different format, and a different way of looking at the content. So, you start to get into, and then you start to iterate, and look at the different ways in which you can repurpose, and rerelease the content, but customize it for each thing. So, you get into this really interesting place where the data is driving the story. And the feedback is driving the story. >> And the audience is part of the journey. >> Yes. And the comments, and the way in which people are taking the thing that you've made and re-interpreting it, is really interesting. And part of the story. >> You trigger a lot of emotion with me, when we're talking, because, you know, as an entrepreneur, I started media businesses turning into, and no-one has even seen this kind of media business before. But I have no media training of any kind. I did a science major. So, there's certain, and I've observed that there's dogma in the journalism business. And there's, but you know, how dare I challenge that, or others. You're doing the same thing. >> I love that by the way. >> So, I want to ask you. What is the dogma with the old world, 'cause the naysayers are usually the ones with the dogma. "Oh, it will never work!" >> Ari: Yeah. >> So, you're on the front end of this new trend. But you're going to have a visibility into what they're thinking, what is that? >> The dogma is, you know, the whole like, there's only big name directors, and you know, it's a certain caliber of work. And that craft is the ultimate thing. And that you just have to make the thing great. And it'll do the thing that is needs to do. Without any thinking in terms of context, or media buyer. How it can actually become a social, socially engaged piece. So, the thing that we're always fighting is some version of that. And then because we came from a scrappy place, but we're now, you know, a pretty legit thing, I think people, some people will still be like, well that's the kind of like, the problem solving sometimes gets interpreted as scrappy. Which is a word I really don't like. And I think-- >> It's a compliment on one hand. >> Yeah. >> But some people look at it as an insult. "Oh, he's just scrappy!" >> Well-- >> "He's not legit!" >> You never want to be the cheap solution. You want to be the solution that people call because nobody else can solve this problem for you. I think we, there's a strand of the company that's like, the kind of like, pick up the phone and we'll figure it out. And, the impossible project that nobody else can do. And then there's another strand where it's just like, you just want to make stuff people actually want to watch. How hard it that? The thing where you could just buy the media, and expect the results is trickier and trickier. >> I mean you could be different, and innovative, but that might not be good. But if you're good doing it, you're differentiated and you're innovating. >> Ari: That's right. >> What's the filmmaking track on that line. Because certainly there's a lot of innovation. And with innovation comes failure. But people are trying to be different. And being different actually is a good thing. What are some of the trends that you're seeing where people are having some success. And where people are stumbling. >> Yeah, that's a good. I mean what I see is, the things that do well take cultural context into account, and again speak to the people in that way. So, it's like a feedback loop that it's creating with its own audience. And we almost always, there's almost always a time in the process when we're dealing with an agency, or a brand where things start to go a little bit like, too, too much, and in that direction that you don't want it to take. Somebody, usually me, or someone will say, "Look, if we make these changes. "Or if we go in this direction. "We won't want to share it. "And if we don't want to share it, "nobody's going to want to share it." So, that becomes a key thing. Whereas before you could sort of away with some of that, now it's like, well, it has to pass this sort of, kind of litmus test in terms of like, are you comfortable with sharing this thing, because it speaks to you or not. >> So, I want to ask you the hard question, we're here at the Intel Tech Lounge, obviously Intel is doing a lot of tech things. They're trying to get all this new tech. And I see it on, whether you watch the NFL playoffs, with, you know, with the camera angles, the games, on basketball games. You see them using the power of technology-- >> We're actually working on an Intel Olympics VR related project that got a little tease ad, CES. So, I can just say that. >> Yeah I know, so what's the tech? What's the cool new game changer in your mind. As a tool that you need to be more successful, and other artists could use? >> Hmmm, well, you tend to, yeah I mean, I think we-- >> John: More horsepower, more compute, more-- >> No, I mean it's really the, What happened with the AR was really interesting, which was, everyone realized, oh, the phone's already in our pocket. While the headset needs to be something that really needs to be standalone. It needs to be $200. You know, like, you sort of, there's different kinds of headsets, of course. They do different kinds of things. But that's an extra hardware. The phone we already have in our pockets. So, everyone's started taking AR seriously. Including the big players. And what that allowed was a, a rethinking of what the possibilities with story would be. So, in some ways this last year has been a readjustment, and a rethinking of, well, what can you do with the phone that you've already got in your pocket. In terms of expanding the storytelling. Or placing a story in the middle of your living room, you know. A layer, using the phone as a window and a layer. But I'm equally as excited about what's coming in VR, interactive VR, room-scale VR, you know. The project that we have here is an interactive 360 project with a phone. >> What's that called? >> It's called On My Way. And the artist is young Jake. And the original conceit of it, is, it's Jake, there's four Jakes in a car. And every time you move the phone to a different Jake, it changes the Jake. So, as soon as it passes the quadrants. So, the four quadrant it kind of swaps the Jake. And that creates a really fun, and interesting thing. And he actually designed it for the phone, vertical. Because that's the way most people are going to experience it. >> John: That's awesome. >> But it's playing on a headset as well. >> Oh you're definitely a new creative. Love chatting with you. >> Thank you. >> Final, well, I have two questions, first one is, Sundance, what's the story this year? What's your report? If you had to go back and your friend asked you to give him a report, "Hey, what happened Ari, "what's going on at Sundance this year?" >> A combination of really interesting high-end VR projects. Some of them leaning into this kind of like more psychedelic less narrative driven stuff. Which I really like. Kind of like really embracing the fact that it's another world, and taking you there. And then the AR stuff. There's a thing called Tender, Ten Day R. Or Tendar. Which is a play on Tinder, by Tinder Claus. Which is, uses augmented reality, and emotion, and machine learning, everything that you could hope for in a really interesting way. So, that's kind of showing you where it's going. So, I think those two things. >> Psychedelic's interesting. I always, I mean this kind of tangent. But in, I've been seeing on The Cube interviews, I think we're going to have a digital hippy revolution. >> Ari: Definitely! >> And it's coming. I mean you can feel it. It's a different culture. >> When I was looking a lot of people, yeah, a lot of people are scared to, I mean, VR is a really great consciousness expanding way to go to get into other worlds. Without, you know-- >> And will all the crap going on in the world today you can almost look at this as a Sixties like movement in this modern era. Where it could be a major catalyst for massive change. >> Yeah, and there's a piece about, you know, this female shaman that grows through the tribe in Ecuador. And became the first ever female shaman for her tribe. And there's a piece called Chorus that, within it. Which is just super weird and trippy. And almost has no plot, but is amazing. >> All right Ari, you've got to run. Quick soundbite. What are you working on, what's exciting you these days? Share a little bit about what's happening. >> A variety of, again it's the full spectrum of storytelling, so it's not one thing. It's really pushing, experiential pushing, branded content pushing, original content that we're getting a lot more into that game. Long form series. VR series. Really, that's kind of the next wave for the company is to set foot, much stronger in the original space, and create our own original IP. Our own original content. >> Awesome, Ari Kuschnir managing partner and founder of Missing Pieces, check them out. Lot of great work. And again, it's a whole new game changing, from storytelling to the tech. The collision between technology and artistry, and creative, and it's happening. It's here at Sundance, at the Intel Tech Lounge. I'm John Furrier with The Cube conversation here at Sundance, which is part of our coverage. Was to look at the angle of Sundance 2018. Thanks for watching. (upbeat music)

>> Announcer: Live from Las Vegas, it's the Cube. Covering Veritas Vision 2017, brought to you by Veritas. (upbeat techno music) >> This is the Cube, the leader in live coverage and we're covering Veritas Vision 2017, Veritas the tagline here is Truth and Information. My name is Dave Vellante and I'm here with Stu Miniman and we're excited to have Tom Shaffstall here, he's the storage network analyst at Exelon energy company and we love, Tom, having practitioners on because we get the truth, so welcome, good to have you. >> Thanks, good to be here. >> Set it up for us, your role, start with Exelon. Tell us about your interest in energy and what you guys are doing and of course your role at the company. >> We are a utility company that deals with both wind, solar, natural gas and nuclear generation. We have multiple, Exelon has multiple companies that are providing electricity in Chicago area and Philadelphia area, New Jersey, Delaware, Maryland. We are a pretty big company, employee wise and we have tons and tons of data and I'm in charge of making sure that that stuff gets backed up and stored properly. >> You saw the Richard Branson keynote this morning I presume? >> Tom: Yes, I enjoyed that, that was very good. >> It was very good, providing a little tailwind for much of your business, certainly the wind and solar parts of it. Okay, let's get into it. You're looking after that portion of the infrastructure, maybe paint a picture for us as to what it looks like in your environment, the applications that you're supporting and actually, let me check that. Before we get into that, what's happening in your business that is affecting your IT strategy? You hear a lot about digital transformation, obviously costs, pressures, what are your priorities from the business and how does it affect IT? >> Of course there's cost pressures from the management, but we also have, we're moving into the cloud as of the last couple years, we're also starting to look at data center as a service for our customers, for the businesses, so I'm involved in several different things in regards to the data centers, the service, cloud infrastructure and managing and monitoring all that stuff. >> What is that, data centers as a service? >> Unpack that a little bit for us, cloud strategy, how's that coming about? >> It's actually been done very well for us. We've gone through a whole set of stages and proof of concepts but we've also worked well with Microsoft Azure because that's where we're putting all our stuff and we have a production side, we have a development side and we also have now a sandbox which is pretty interesting for testing. We're putting all those in together with the infrastructure that we already have in regards to making sure things are done properly, the security is done properly, the ownership of the accounts are done properly, so everything is done in a real precise manner through our process. >> Data center as a service is essentially your hybrid cloud strategy that encompasses the public piece which is Azure, your private cloud on prem and all the associated corporate edicts and security and compliance, stuff that goes with that, is that correct? >> Correct and we also have remote sites that we're going to be doing, we have a lot of energy plants around the country that are really small, they don't have real big pipe so data center as a service really works for them as well, that's the things we're starting to look into as well. >> Part of that is the service catalog, getting that house in order, is that right? >> Tom: Yes. >> Do you do chargebacks or showbacks? >> Tom: Yes we do. >> You do chargebacks. >> Yeah so that's all included in that. >> Have you always done chargebacks? >> Over the past several years, we've really built it up more and been more precise in our chargebacks. >> I've always wondered, I wonder if you can comment from your experiences and your peers, you know 10 years ago you would ask folks if they're doing chargebacks they say no, it's just too complicated, we just put it out there. Sometimes we do showbacks but as cloud has come into prominence, people seem to be doing more and more chargebacks to be more cloud like and more precise. Maybe that's tooling, maybe that's culture, what's your experience been? >> We actually started doing more and more reporting on our physical and virtual environments about two years before we actually started into the Azure cloud. I think that was in preparation for that because they saw that that kind of technology was already there in the cloud and we wanted to be prepared for that and make sure that the accounting side of things was a little bit more precise in what we were doing, in charging back. >> Okay let's get into it, Stu. >> Can you maybe sketch out for us a little bit, how much data does your engineering team cover how many sites, what's the purview and how do we, give us this thumbnail sketch. >> We have three main data centers right now in Chicago and in the Baltimore area. Currently we're taking one of those data centers and we're consolidating into the sister data center which is about 20 miles away from each other. We're dwindling it down and our utilities for instance, are managing their own data centers as well. We have multiple data centers all over the country. We're putting most of our corporate stuff into two major data centers so we're in the process of moving those and we have about nine petabytes of data that we're actually backing up and managing, storage wise. That's just on the corporate side, that's not even on our nuclear side, we have more on that side. >> And the primary applications that you're supporting, you don't have to do an application portfolio, we only have 15, 20 minutes, but generally speaking, maybe talk about some of the more critical ones from a backup perspective. >> Backup perspective, we have Just Net backup, both on the nuclear side and on the corporate side, we are also using Data Insight as well on the corporate side and we just I believe got our nuclear guys interested in Data Insight stuff. >> But in terms of the applications that you're, the data that you're protecting, what applications are they supporting, if I could ask it that way. >> We have HP applications, suites, we have R Man, we have Oracle databases, we have SQL databases, and I'm at a loss. >> A lot of the core database stuff, so pretty high SLA. Tight RPO, RTO requirements on those or they vary? >> They vary depending on the categorization of the actual database or the actual application. >> And how do you deal with the variability of those service level agreements? Are you able to provide granular levels of service or is it one size fits all? >> We go down to the granular level. We don't try to do one size fits all, that just didn't work in the starting of things when I first started in the company, we saw that they were trying to do that and it just doesn't work. >> Predominantly or exclusively a Net Backup shop in terms of your data protection, is that right? >> Yes, we also have snap falding and stuff with our net apps our shares so we are backing those up and snapping them off to the other data center and vice versa. We have that capabilities as well. >> You've been at this position for over a decade and you've seen the end of the client server era, not the end, but the tail end of the curve, internet era, obviously now seeing the cloud, virtualization and into the cloud, how have those changes affected your data protection strategy over the years? >> With our virtual side of things, we've actually migrated most of our virtual backups just to VM ware. They are actually handling all that within our infrastructure where we hold all the VM ware servers. That's all done outside of Net Backup all together. We do take care of the production side of the VM ware servers that we have through Net Backup and we treat them as physical servers, but all our test and dev, all that stuff, that's done and held for 14 days and then it's gone. >> We talked a little bit about, off camera, you said you were very happy with Net Backup so you really haven't brought in alternatives. What about the product and the company is appealing to you? >> There's been a history with me because in a previous life if you want to call it, I was in the financial business, working in the data center and I had the opportunity to get into the early stages of Veritas Net Backup four I think it was and then I got out of the financial industry and got into the utility industry and it was automatically Net Backup, I was familiar with it, it's very easy to use, it's just pretty reliable for restores and all that kind of stuff, good management. >> Tom one of the things we've been poking at this week is, of course Veritas has a lot of Net Backup customers, you're a loyal one, talking about this digital transformation and software defined multicloud, hyperscale world, some of those things I think resonating, what are you hearing, what interests you from some of the new products that they're announcing and how do you see the relevance of what Veritas is saying in your world? >> What has interested me so far in our sessions and in the keynote sessions and all, I'm looking into possibly talking to our architects about Infomap and getting that maybe possibly in house and/or the data resiliency because we're already got most of our stuff in the cloud that we're pushing out there. We don't have to push any extra data out there right now, but we may still do that, we may be still migrating some data like for archiving and that kind of thing. That's a possibility but we will probably look to Veritas for that when we go to do those things. >> Thinking about what you've heard this week, you hear a lot from Veritas about modern data protection, cloud, application mobility, things of that nature. As a practitioner, how do you look at those things, those capabilities, are those things that you're considering actually actively architecting or building a plan around. Maybe you could talk about the futures a little bit. >> With our data, we have to make sure there's accountability somewhere, we have to make sure that we know who the owners of these things are and we have to coordinate with them in regards to moving anything, of course. With sip infrastructure and all that kind of stuff, all those regulations, we had to make sure that all our data is held properly and going into the cloud, we want to make sure that what we're putting out there is going to be put out there and held securely. There's still some trepidation in regards to that but I believe our company is moving forward and wanting to do more and could get less of a footprint in our data centers for hardware and all that kind of stuff. For the governance of this stuff, we have the Data Insight software out there, it's helping us to recognize what kind of files are out there, who's using them, who has access to them, and we are starting to use that more as well. We're currently doing a POC to try and get ownership to that actual data because we really don't other than what Data Insight already gives it, this is the number of people that have been using this data, I'm giving you ownership is the way it was before, but now we're able to actually classify, this is the owner, he's going to be the one that takes care of that side. >> Tom I'm just curious, we talk a lot about there's the opportunity of data. Is data for your business, is it a challenge to keep up with the growth and manage it and govern it or is your business turning that into an opportunity? >> It's my full time job and my boss's full time job to make sure that we have enough room for all the data that we're doing. We are trying to do some neat things in regards to managing it better and keeping data, especially for us, our upper management decided to ask us the question recently is are we doing replication between data centers to keep our DRs and all that kind of stuff viable? We were like, yeah and then we started going into that perspective and actually got it so that we can definitely say yes, we have everything here and here, we are DR safe. >> Do you test that? >> Yes. In fact we just recently did a full test of our corporate financial DR data and it went off without a hitch. >> Excellent, all right Tom, we'll give you the last word on the conference, Veritas Vision, how do you like it, why do you come to this, shows like this, what kinds of things do you learn, what's of interest to you? >> I like to get more information as to what Veritas is offering. They're a very good company, I've had a very good rapport with our salespeople and with the engineers, with the help desk people that come in and talk to you and make sure that if we're having issues, they're right on, I've just had a real good experience with Veritas and the whole realm of things. >> Things at the show, anything interesting that pops out to you? Things that you've learned, the take aways? >> We're looking more now into some of the cloud capabilities that you guys have, especially with the resiliency program with the Infomap and again, more information with the Data Insight, all the capability's there, it's going to start bringing out. Just the beauty of all that stuff actually working together and being more cohesive, because before you had Data Insight you had Infomap, you had, and they weren't really communicating properly to really help each other report. It's really good stuff that's happening. >> Tom Sheffstall, thanks very much for coming on the Cube, appreciate it. >> Thank you. >> You're welcome. Keep right there everybody, Stu and I will be back with our next guest, this is the Cube, we're live from Veritas Vision 2017, we'll be right back. (upbeat techno music)

>> Narrator: Live from Washington, D.C., it's theCUBE covering .NEXT conference. Brought to you by Nutanix. >> Welcome back to Washington, D.C. everybody. This is theCUBE, the leader in live tech coverage. My name is Dave Vellante. I'm here with Stu Miniman, this is day two of our coverage of .NEXT Conf #NEXTConf. Wendy M. Pfeiffer is here. She's the relatively new CIO of Nutanix. Wendy, thanks for coming on theCUBE. >> Thanks for having me, good to be here. >> Okay, you got my attention. You said there's a reason for it. >> Reason for the M? >> For the M. >> Yeah, absolutely. It's my mom's middle initial, her middle name is Michelle. My middle name is Michelle and my ten-year-old daughter Holly's middle name is Michelle and we sort of pass along our female heritage. I send Holly a message whenever I do anything publicly that it's a shout out to her. She gets to lead, she gets to be proud of her feminine heritage as well as her family heritage. >> I love that, that is fantastic. Quick aside, I'm going to make you laugh. We're at the race track one day and there was this one guy, and he was winning and I wasn't winning so I said, it's like the eighth race, How are you doing this? Well his last name began with an M. He goes, I'm just betting on all the horses with an M in it. >> That could be another good reason. Thanks for the tip. >> Anyway, welcome to theCUBE and welcome to Nutanix. Five months in on the job, you got a really strong IT background. GoPro, Yahoo, both companies of senior leadership. Robert Half, I think, was on the resume as well. >> Yeah, CISCO Systems, Exodus Communications. >> You've seen it all. >> Which means I'm old. I've been around a long time. Any company, I would work anywhere. >> Not as old as I am, honey. So, what's the experience been like at Nutanix? Tell us about the onboarding. >> It is a playground, I love it. Nutanix, I was hoping that they would have the technology that I love and they do. It's one of the first places I've worked where it doesn't matter if I need server storage, we have that. It's pretty cool. I have a really amazing team and then the leadership there is fantastic. It's also the first time in my career where I'm working for a company that sells to CIO's and so my opinion of our product matters. I get to be customer number one, drink our champagne, that sort of thing. In fact, I'm on that path, we call it Eat Your Own Dog Food, when I came on board and I said, I don't want the dog food. We're going to be drinking our own champagne. I want the good stuff. I'm getting to play and just experience the product and experience that process and then people care what I think, people who are developing product care what I think and that's great. >> Are the sales guys dragging you into situations as well? >> They are totally dragging me into situations. I'm not that compelling in direct sales but I have been giving them some tips on how to sell to CIO's. Just letting them know how to approach us, and some of the things that we care about and don't care about. What's great as well is, I'm not very good at being fake, so when I talk about using our product and when I'm excited about our product, it's pretty, you know, it's genuine. If I don't like something, you know that too. >> Well CIO's, you're part of a network. >> We are. >> And that network is sort of immutable, in my opinion. >> It's a secret cabal. It really is, we get together in treehouses and exchange the password. >> But there's a code, right? >> There is. >> You're not going to give another one of your peers some bad advice, even if you are a CIO of a company that's trying to sell to them. >> That's right. It's a small circle. I do belong to some groups that get together and talk about some of our common challenges and one of our cardinal rules is that no vendors are allowed and there's no selling. We do, if we have some expertise, we'll share that but we really don't cross that line. So when I do give advice, they know it's genuine, as much as possible. >> Wendy, we always like to ask CO's, what's challenging you today? Typical IT, we always said for years, it was like, Okay, your headcount next year is going to be flat, your budget's going to be declining. What do you see when you're talking to your peers? What are some of the biggest challenges that they see? >> It's a few things. One thing is, the transformation that's happening around digital technologies and moving into the cloud. It's requiring a transformation of skill sets as well. We really have a challenge, first of all, in deciding, if we have traditional IT folks, how do we transform their skill sets? How do you make an infrastructure guy or gal someone who writes code? That's one thing and just a dearth of talent. There aren't enough people entering the workforce. That's one thing. Another thing is, really just about the pace of innovation. By nature, when you get to a senior executive level, you're almost less innovative than you might've originally been but we're supposed to be the paragons of innovation and new ideas and so we struggle with that. We struggle to keep it fresh and reinvent ourselves. I left a fairly traditional career to go to GoPro, just because of that desire to reinvent myself and try something hard and new. We've got that struggle as well. I'd think as well, just the changing business models, too. There's a lot, we're always balancing CapEx, OpEx, a lot of us have a big investment in OpEx and in SaaS and then trying to balance that with CapEx. We've always got those challenges. I think that's a lot of it. >> Wendy, we're 10 years into this journey of what cloud and how it's going to affect it and the role of the CIO is something that's been in the center of it. Does the CIO become irrelevant? Does he become a broker of services? You talked a little bit about some of the changing roles. How was your viewpoint on cloud, has it changed over the last few years in some of your different roles and I'm curious inside of Nutanix, how public cloud fits into what you use. >> I think there's a couple of layers. One layer that doesn't go away is operations. Whether it's taking operational expertise and transforming that into code for DevOps, or whether it's transforming it into process for on-premise infrastructure, you have to have that knowledge and you have to have that leadership so I don't think the need for leadership is ever really going away. I think the center of leadership is changing over time and has sort of moved from place to place but ultimately, we have to have folks who understand how to build whatever it is, to scale, who understand how to flex, who understand how to deal with crisis. Then also, there's some fundamentals towards architecture and building blocks. Yes, we're architecting differently. We're architecting with code in the cloud but the principles underlying those things are relatively the same. I don't think that the functions, the need for leadership, is going away at all but I do think that we have to be flexible in our thinking. I will say the title CIO it's actually never kind of been right. Chief Digital Officer or Chief AWS Officer. All of those things are not exactly right. We need to not be so precious about titles and just go back to thinking and leading and innovating and let the titles take care of themselves. >> I got to still ask you about this emergent role of the Chief Data Officer. We can all agree data's important, whatever bromide you want to use, data's the new oil and so forth and so on. Many of the chief data officers that we've talked to are individuals that maybe do a lot of governance, lot of things that CIO's generally aren't responsible for. Yet at the same time, data is becoming this new competitive advantage and it's so important to information technology. What are your thoughts on data, helping companies become data-driven and what is the role of the CIO in that context? >> First of all, data is really, really important. How a company deals with its data is a gigantic differentiator. Obviously, we have all this opportunity in the areas of machine learning and potentially AI and so on. When I was at Yahoo, one of the things I worked on was our privacy initiatives and even back then, we had the ability to ingest a lot of data about our users and we had the ability, algorithmically, to do behavioral targeting. But we had to make some ethical decisions and some compliance decisions about how we used that data and so, the technology has been available for some time, but where we haven't caught up is in policy. I think that Chief Data Officer is really at the nexus of creating policy, understanding capabilities and deciding how we apply those things. We've always needed that role. Sometimes it's the CIO, sometimes it's the Chief Privacy Officer, we've always needed that role but the role is a little bit different, I think, with data because of the power of the data. I do think there's a need for some knowledge of the law, GDPR is coming down from Europe and there's a key factor there. Ultimately, data needs to be treated like an asset. It's product as much as anything else. I think someone who's akin to a Chief Product Officer needs to handle the company's data and that data needs to imbue the product, it needs to go to market plans. It also can be a reflection of the culture of the company, as well. Even collecting data on ourselves and how we operate and how our employees move through their cycles is very, very powerful. Always with ethics, though. That's the thing that, if you leave data in the hands of pure engineers or pure technologists, then you need some sorts of checks and balances as well because sometimes we're overcome by the possibilities of the technology, without thinking through the possibilities that affect human beings. We need that balance. >> I've always felt like the CIO is the field general and should be implementing the data strategy but he or she shouldn't be necessarily responsible for, Okay, how are we going to monetize the data? Who has access to data? What are the data policies? That seems like a full-time job but there is overlap, though. >> It's messy, right? A lot of times it has to do with, I mean at that sea level, those are all board-level positions, right? Ultimately, we're responsible for the financial health of the company >> Sure. >> At that level. Really, we're playing to our strengths. Sometimes we come to the table and we understand how to monetize data. Sometimes we come to the table and we know how to efficiently manage operations. There's usually a mix. There's somebody with a CTO or a CPO or a CIO title or a Chief Data Officer title, but it's less about the title and more about those strengths that show up around the executive table but there needs to be somebody, or maybe a combination of a couple of somebodies, who are hungry for the value that they can derive from that data and accrue that to value to the company. >> It's some notion of swim lanes for accountability but recognizing there's some overlap. We got to talk about women in tech, but go ahead. >> Just two things, Wendy. >> Did you notice I'm a girl? >> As a technology leader, I'm curious if you see differences between yourself being a technology leader in Silicon Valley and those outside the Valley and the second one, just curious if you've had any learnings working now for a company that sells to the enterprise versus being on the consumer side of the house at GoPro and some of the others? >> Silicon Valley is a bubble. We all breathe our own oxygen. We think we're pretty cool. We tend to be libertarian as a group and therefore, we have libertarian policies that are embodied in how we develop code, how we create product and we're creating our own little culture but we're not in sync with a lot of the rest of the world. Luckily, one of the pieces of our culture is about building things that are open and so people can repurpose our technologies in ways that make sense for them. The other thing is, even more profound, is the effect of millennials on both Silicon Valley and outside of Silicon Valley. Millennials are changing how we develop code, how we organize our companies, et cetera. Your other question, can't remember. >> Consumer versus selling to the enterprise. >> I think the difference really is just internally, my job it was a different sport, working for a consumer company because people weren't generally smarter than me around my technology. In the consumer company. But they are a lot smarter than me. I am not the technical expert in the room at Nutanix. All of them know more than I do. >> No offense, but I'll bet. >> That was a little intimidating. I had to think twice, do I want to go back to being in junior high? >> Got to ask you, your journey. 17% of the IT industry's employment comprises women. Just so happens that 17% of the guests on theCUBE are women. We really try and go overboard on it. >> Hard to find us. >> There's a clear disparity in pay, it's well-documented. What was your journey to get here? >> It's only now that I'm old and wise and at a senior level that people are making a big thing about me being female. I've been female my entire career. >> Never heard boo. >> I never traded on it. I will tell you that throughout my career, I have been given advice that would seem ridiculous if it were given to a male. As an example, I've been told that I use too many words. That I'm too emotional. I've been told, can you imagine? If I said, Hey Bob, could you button up that top button of your shirt, there? When you sit down, don't spread your legs because I'm drawn to looking at Girls, women, we get that advice from senior advisors. We're told, Be less emotional. I've always ignored that advice. I'm a mom, I have the blonde 1980's hair. There's not much I can do about that. Being genuinely myself, it was all I could figure out how to be. It just so happens that now I'm in my 50's and I'm a CIO, so suddenly that's a thing. It's never been a thing. It's been something where my entire career, I've had to just keep my own counsel and be genuine and the fact that I'm female and feminine and a mom, doesn't diminish the fact that I'm also a brilliant technologist, that I'm good at leading people. I can feel empathy and care in my heart for a person, at the same time that I'm firing them for non-performance. I can be multifaceted. I think that's women's superpower. I think when we try to be just one thing or we try to be more like the traditional male in leadership, then it's like being Jerry Rice and walking onto the field with your legs tied together. My unfair advantage, to quote John Madden, I got to use my unfair advantage. My unfair advantage is that I think in a multifaceted way. >> Wendy M., thanks so much for coming. I'm glad we could make time for you, I'm glad you could make time for us. Thank you. >> Thank you, appreciate it, it was fun. >> Keep it right there, buddy. We'll be back to wrap. This is theCUBE in D.C. at Nutanix .NEXT. Right back.

>> Narrator: From around the globe. It's theCube, with digital coverage of AWS re:Invent 2020 sponsored by Intel, AWS and our community partners. >> Welcome to the cubes coverage of AWS re:Invent 2020. This is the cube virtual, I'm Lisa Martin and I have a new member, new guests on the cube today. Please welcome Gur Steif, the president of digital business automation at BMC Software. Gur, it's nice to have you on the program. >> Very nice to e-meet you, thank you so much for having me. >> Yes, nice to e-meet you as well. I like your office, your background, very nice by the way. >> It's a real background, it's not virtual. >> I Can tell, you got style. So, so much has changed this year and that's, and that's probably the most overused statement of 2020, right? But as we look at, you know, on theCube, every day we talk to businesses and vendors and every industry every part of the world. And we've been talking a lot about the acceleration of digital transformation, that one of the things that this challenging time has brought is that acceleration. Talk to me about it, as the leader of that for BMC, what are some of the things that you are seeing, what are you hearing from customers? >> It's a great question because customers are in fact having a hard time because there is an absolute acceleration and the need to really innovate more and faster than ever before. At the same time, a lot of customers have a lot of existing, I mean, you know, I don't like using the term legacy because it connotes something negative and in many cases those technologies are what made those companies great. So I really don't like using legacy as a negative term, but it is something you've got to carry with. And many of our customers, and we have been in a journey with our customers, have grown from the mainframe to distributed systems to virtual systems, to kind of first-generation cloud and now going into serverless architectures. And by the way, that's just the infrastructure view. At the same time, you know, on the data aspect, they went from, you know, traditional five systems to databases and SQL databases and now to all kinds of like no sequel databases and big data and streaming machine learning pipelines and on application technologies, we went from something very monolithic to client server to web and mobile and now it's all about DevOps. And the really challenging thing for customers for many of the companies we talk with is that none of those things go away, right? IT is in some cases, for some of our customers, is the archeological science. So we may want to create this amazing new system of innovation and system of engagement that is going to be 100% cloud-based. But some of the data and some of the fundamental elements come from systems of record that may run on a different environment. So this is very complex for customers. What we've done over the years is we're able, we're helped customers to move for distant transition and always manage new technologies and new capabilities without abandoning everything else and really managing it as one thing. What we're really excited about this year is that we are actually going SaaS, right? We've announced that the Control-M is going to be available as BMC Helix Control-M, available as SaaS, starting December 1st. Now, the really interesting element here is that when we are working with customers to do this, to really help them manage their environment better, it's not that we're saying, hey you're going to have to move all your estate from an on-prem to SaaS. Many customers actually tell us that this complexity is not going away. But because they're going to keep running a lot of their on-prem systems on prem, right a lot of their system of record. If you're a bank and you have a mainframe, you're not likely to just get rid of it anytime soon. Kind of like global warming, even with global warming glaciers take a long time to melt, right? The mainframe is going to be here for a really long time and systems of record are going to be on the mainframe and on-prem for a long time. And customers want to keep managing that because what we do is we help them run those systems better and they want to make sure they keep doing this but for all the no systems of innovation, they want to be able to do that natively in the cloud. And a SaaS offering is perfect for that. So we really try to help make it easy for customers, try to help them to manage any type of system they have from more legacy or more traditional systems to brand new serverless technologies and do it in a way that makes sense, whether it's on-prem or SaaS. >> Right, so in that hybrid multi-cloud environment which so many businesses are living in and as you talked about, I like your take on legacy versus sort of existing and sort of maybe business building foundational technologies that were essential at the time. So that hybrid multi-cloud world is just something that many companies are living in whether it's strategically, whether it's by, you know, organically by acquisition. In terms of having that workload automation across on-prem, public cloud, private cloud. Talk to me about how this is like aligning, I'm thinking like the DevOps folks with the lines of business. Because they all want to be driving towards business outcomes. And especially right now, it's about how can we keep pivoting our business as the world is changing to be successful and to be meeting our customer's demands where they want them to be met. >> It's a very very good point because the business requirement in many cases is really around agility. How can we move faster? And all those things we talked about, whether it's going into cloud or going into DevOps, or going into machine learning, it's about agility. It's agility on infrastructure or agility on the application architecture or agility on how we drive value out of data. So the business wants to move fast. At the same time, we have the requirement for stability, reliability, governance. Many industries are very, very regulated. If you're in the financial services industry, you spend a tremendous amount of time on dealing with regulation and compliance. So one of the things that we really try to do to help customers accelerate innovation is really help them incorporate everything that we do into the DevOps model, right? But do it in a smart way so that they can create automation rules, they can create everything that has to do with application, using code, right? It's jobs as code. So all the flow, all the definitions, all, everything that we do is all managed as code and the developers can store it as part of their, use DevOps tool chain. But there's an element there that allows the more traditional elements of the it organization to drive standards, to drive compliance, to drive policies to drive rules, that it has to be validated against before it goes into production. But what that does is it allows, it makes the developer, it makes it easier for a developer to really make sure that, as soon as they build the application, it is going to be compliant with all those policies. So it's not like they do all of that and roll it on, they do all these beautiful DevOps in tests and when it needs to go into production, it's close to a screeching halt because ops need to look at it and goes, wow, no, you need to change this, this, this, this, this and that, right? They're able to make sure it's all compliant from the get-go, which is really really valuable and allow companies to really accelerate their transformation, which is what everybody wants to do to drive the business outcomes. >> Exactly. We're looking for that, that catalyst or those catalysts that really facilitate businesses not just surviving today but really becoming the winners of tomorrow. So talk to me Gur, about the BMC and AWS, we talked about sort of this multi-cloud environment, the move with Control-M into SAS, what are you guys doing with AWS? So when we decided to move into SaaS, we said, we have to host our solution center. And it's important that we support multiple clouds before, like you could use Control-M on prem and use it to drive workloads that run in AWS or Azure or GCP, or you name it or private clouds for that matter all the way down to the mainframe. But when we were saying, we're going to roll Control-M out in SaaS, we said, we have to host it somewhere and we have to have a partner that's going to help us. I have an amazing team of developers that are the best, bar none in writing on-prem code. And they are going to be trading SaaS code for the first time. And we just found it that Amazon AWS with their SaaS factory, with the network of partners, with the tools was just a really really valuable way for us to accelerate that process. AWS has distinct that they call SaaS Factory which really helped us think through how we code some things, how to properly think about security, how to properly think about availability zones, how to properly think about so many things that are absolutely critical when you go into the SaaS world. So it really helped us accelerate the process. They also have a great network of partners that we're able to leverage and truly been a great partnership. >> So Control-M, Helix Control-M hosted on AWS. Talk to me about a customer situation. Now, for example, BMC customer, AWS environment needing to really drive their business forward, get that control and that visibility across their entire environment. How do you all work together, customer BMC, AWS? >> Great question. If they're an existing BMC customer, then they could simply talk to us, We can help them and we can introduce AWS where it's relevant or where they have some questions about how to work with the cloud. And many of our customers have a lot of experience with us in the on-prem world and they're choosing AWS as their cloud partner and so that's just a natural evolution and that's a super easy situation. There are cases where we actually work with AWS and AWS, as they work with customers to digitally transformed their environment, go and say, you could actually benefit from this. So there've been cases where we've actually worked together with AWS on some of those customer situations. Now we are in early days, right, the product is going to go GA December 1st. So right now we have about a dozen customers in what we call the early access program that we have not yet rolled this as generally available to the general public but the early integration, early work that we've done with AWS, not just on the technical side but across the ecosystem has been great. >> So go to market direct, go to market also through AWS. There's customers in that early access program, some of the things I'm thinking about when you're talking about what you guys are enabling is operational efficiencies, cost efficiencies. >> Absolutely. >> Anything that you can give us from one of those customers that's in early access, big business outcomes that they're achieving? >> I think the most fundamental aha moment for me, talking to the early access customers was, when we're thinking on-prem, we're thinking, okay, you know customer buys something, and we don't really cheap CDs, right, they download it. But you're thinking of time to value that's measured the days, sometimes weeks. And when we did the first proof of value with some of the early access customers, they didn't want to get into all the technical capabilities of the product at first, but the fact that they were able from the moment they got the welcome to BMC Control-M email, to the point that they were able to actually run jobs and drive value from the product in less than 10 minutes. That was eye opening for them and frankly, eye opening for me because I realized that the way you think about is different. because the fact that you can start to driving value within 10 minutes of getting your, welcome to BMC helix Control-M email, is just phenomenal. It's something that nobody could really accomplish with an on-prem environment. >> We've been talking about time to value for a long, long, long time. But I think in the context of today's world it's different 'cause as we saw when this pandemic first started, there was massive pivot. Businesses are pivoting and pivoting and pivoting. It's not just the one time, but it was really in the beginning I think about keeping the lights on and survival. Now it's as we get into this, and as we expect certain parts of this to be permanent in terms of how we work is changing, how we deliver services to customers that consumer demand is there in the consumer space, it's there in the it world as well. But like give me some nuggets of, what's of value to say like a higher education, like a university for example, is it being able to get students online faster? I'm just kind of looking for that silver nugget of value in a contextual setting. >> Let me give you an example from, actually let's, I'm going to pick an example from a really old industry, like a company that's been around for over a hundred years, right? So they've been around since before the mainframe, right? They build farming equipment, they build tractors, they build trucks. And every one of those has hundreds and thousands of sensors that collect data. So if you think about it now, this is a company that's been around for over a hundred years and never thought of itself as a technology company, but now they collect all this sensor data, they aggregate it, they try to make sense out of it. And then not only do they try to figure out, hey, you're going to have, one of your gaskets in the engine's going to to blow. They also kind of integrate that to some of the more legacy applications where they store customer data and parts information and dealer networks. So they can send the owner or the operator of the vehicle, an email saying, we can tell that your gasket is going to blow in the coming week, here are three dealers in your area that have that part on hand and are certified to make that repair, Would you like us to schedule an appointment? And they were able to reduce unplanned vehicle downtime by 40%. Now think of this, what this really means is that revenue producing assets are working more, more efficiently. Now, whether this is farm equipment, or, again, I'm deliberately picking old line industries to kind of make the point. So whether it's it's farming equipment or oil pipelines and oil Wells, right that if you have your revenue producing assets running at the higher uptime, that is a business outcome that everybody loves. >> Absolutely. I always loved those stories of traditional businesses that you talked about, who've really embraced digital transformation, done it in a smart way. But last question for you, that's a cultural shift. I'd love to just get your perspectives on the conversations that you're having with customers now, as you work with companies like that, like the traditional historical businesses, how quickly are they able to adapt their cultures and align those IT and business folks so that they don't get you swept by a newer fresher company born in the cloud that maybe has more agility and more willingness to take risks. >> One of our core beliefs of BMC is that companies are evolving into what we call the autonomous digital enterprise. That's a big transformation that the companies go through. And there are several tenants then on what it takes to really become an autonomous digital enterprise and you don't necessarily make progress on all of them at the same time. But one of those, as an example is enterprise DevOps, right? How do you read a drive agility, not just in your DevOps development processes but across how you think about it as an enterprise, right? Part of it is the data driven business, right? So the example we just gave, is how you really use data and turn it into insight and actually drive actionability, based on what you can really get from data. Which if you think about it makes so much sense, but it's not that easy to do and it requires you to also have these enterprise DevOps mindset as you innovate. There's many things, right? One of those things is automation everywhere, right? But at the end of the day we talk about automation. The more you automate, the more you could actually free up valuable resources to go do things that are high value. So there's plenty of elements to it but we believe, it's one of our core fundamental beliefs of BMC that enterprises are evolving and will continue to evolve to become autonomous digital enterprises. They will have to be digital, they will have to rely on technology to really survive and thrive in the decades to come. And we just want to be we with AWS, with BMC Control-M, Helix Control-M, just want to help them succeed in that mission. >> As a facilitator at that autonomous digital enterprise, well, Gur, it's been just a pleasure to have you on the program. Thanks for joining me today and sharing with us what BMC and AWS are doing together and how you're helping those organizations become the autonomous digital enterprise. We appreciate your time. >> Thank you so much. For Gur Steif, I'm Lisa Martin and you're watching theCUBE. (soft music)

(upbeat music) >> Live from New York, it's theCUBE. Covering theCUBE New York City 2018. Brought to you by SiliconANGLE Media and its ecosystem partners. >> Okay, welcome back everyone to theCUBE NYC. This is theCUBE's live coverage covering CubeNYC Strata Hadoop Strata Data Conference. All things data happen here in New York this week. I'm John Furrier with Peter Burris. Our next guest is Basil Faruqui lead solutions marketing manager digital business automation within BMC returns, he was here last year with us and also Big Data SV, which has been renamed CubeNYC, Cube SV because it's not just big data anymore. We're hearing words like multi cloud, Istio, all those Kubernetes. Data now is so important, it's now up and down the stack, impacting everyone, we talked about this last year with Control M, how you guys are automating in a hurry. The four pillars of pipelining data. The setup days are over; welcome to theCUBE. >> Well thank you and it's great to be back on theCUBE. And yeah, what you said is exactly right, so you know, big data has really, I think now been distilled down to data. Everybody understands data is big, and it's important, and it is really you know, it's quite a cliche, but to a larger degree, data is the new oil, as some people say. And I think what you said earlier is important in that we've been very fortunate to be able to not only follow the journey of our customers but be a part of it. So about six years ago, some of the early adopters of Hadoop came to us and said that look, we use your products for traditional data warehousing on the ERP side for orchestration workloads. We're about to take some of these projects on Hadoop into production and really feel that the Hadoop ecosystem is lacking enterprise-grade workflow orchestration tools. So we partnered with them and some of the earliest goals they wanted to achieve was build a data lake, provide richer and wider data sets to the end users to be able to do some dashboarding, customer 360, and things of that nature. Very quickly, in about five years time, we have seen a lot of these projects mature from how do I build a data lake to now applying cutting-edge ML and AI and cloud is a major enabler of that. You know, it's really, as we were talking about earlier, it's really taking away excuses for not being able to scale quickly from an infrastructure perspective. Now you're talking about is it Hadoop or is it S3 or is it Azure Blob Storage, is it Snowflake? And from a control-end perspective, we're very platform and technology agnostic, so some of our customers who had started with Hadoop as a platform, they are now looking at other technologies like Snowflake, so one of our customers describes it as kind of the spine or a power strip of orchestration where regardless of what technology you have, you can just plug and play in and not worry about how do I rewire the orchestration workflows because control end is taking care of it. >> Well you probably always will have to worry about that to some degree. But I think where you're going, and this is where I'm going to test with you, is that as analytics, as data is increasingly recognized as a strategic asset, as analytics increasingly recognizes the way that you create value out of those data assets, and as a business becomes increasingly dependent upon the output of analytics to make decisions and ultimately through AI to act differently in markets, you are embedding these capabilities or these technologies deeper into business. They have to become capabilities. They have to become dependable. They have to become reliable, predictable, cost, performance, all these other things. That suggests that ultimately, the historical approach of focusing on the technology and trying to apply it to a periodic or series of data science problems has to become a little bit more mature so it actually becomes a strategic capability. So the business can say we're operating on this, but the technologies to take that underlying data science technology to turn into business operations that's where a lot of the net work has to happen. Is that what you guys are focused on? >> Yeah, absolutely, and I think one of the big differences that we're seeing in general in the industry is that this time around, the pull of how do you enable technology to drive the business is really coming from the line of business, versus starting on the technology side of the house and then coming to the business and saying hey we've got some cool technologies that can probably help you, it's really line of business now saying no, I need better analytics so I can drive new business models for my company, right? So the need for speed is greater than ever because the pull is from the line of business side. And this is another area where we are unique is that, you know, Control M has been designed in a way where it's not just a set of solutions or tools for the technical guys. Now, the line of business is getting closer and closer, you know, it's blending into the technical side as well. They have a very, very keen interest in understanding are the dashboards going to be refreshed on time? Are we going to be able to get all the right promotional offers at the right time? I mean, we're here at NYC Strata, there's a lot of real-time promotion happening here. The line of business has direct interest in the delivery and the timing of all of this, so we have always had multiple interfaces to Control M where a business user who has an interest in understanding are the promotional offers going to happen at the right time and is that on schedule? They have a mobile app for them to do that. A developer who's building up complex, multi-application platform, they have an API and a programmatic interface to do that. Operations that has to monitor all of this has rich dashboards to be able to do that. That's one of the areas that has been key for our success over the last couple decades, and we're seeing that translate very well into the big data place. >> So I just want to go under the hood for a minute because I love that answer. And I'd like to pivot off what Peter said, tying it back to the business, okay, that's awesome. And I want to learn a little bit more about this because we talked about this last year and I kind of am seeing it now. Kubernetes and all this orchestration is about workloads. You guys nailed the workflow issue, complex workflows. Because if you look at it, if you're adding line of business into the equation, that's just complexity in and of itself. As more workflows exist within its own line of business, whether it's recommendations and offers and workflow issues, more lines of business in there is complex for even IT to deal with, so you guys have nailed that. How does that work? Do you plug it in and the lines of businesses have their own developers, so the people who work with the workflows engage how? >> So that's a good question, with sort of orchestration and automation now becoming very, very generic, it's kind of important to classify where we play. So there's a lot of tools that do release and build automation. There's a lot of tools that'll do infrastructure automation and orchestration. All of this infrastructure and release management process is done ultimately to run applications on top of it, and the workflows of the application need orchestration and that's the layer that we play in. And if you think about how does the end user, the business and consumer interact with all of this technology is through applications, k? So the orchestration of the workflow's inside the applications, whether you start all the way from an ERP or a CRM and then you land into a data lake and then do an ML model, and then out come the recommendations analytics, that's the layer we are automating today. Obviously, all of this-- >> By the way, the technical complexity for the user's in the app. >> Correct, so the line of business obviously has a lot more control, you're seeing roles like chief digital officers emerge, you're seeing CTOs that have mandates like okay you're going to be responsible for all applications that are facing customer facing where the CIO is going to take care of everything that's inward facing. It's not a settled structure or science involved. >> It's evolving fast. >> It's evolving fast. But what's clear is that line of business has a lot more interest and influence in driving these technology projects and it's important that technologies evolve in a way where line of business can not only understand but take advantage of that. >> So I think it's a great question, John, and I want to build on that and then ask you something. So the way we look at the world is we say the first fifty years of computing were known process, unknown technology. The next fifty years are going to be unknown process, known technology. It's all going to look like a cloud. But think about what that means. Known process, unknown technology, Control M and related types of technologies tended to focus on how you put in place predictable workflows in the technology layer. And now, unknown process, known technology, driven by the line of business, now we're talking about controlling process flows that are being created, bespoke, strategic, differentiating doing business. >> Well, dynamic, too, I mean, dynamic. >> Highly dynamic, and those workflows in many respects, those technologies, piecing applications and services together, become the process that differentiates the business. Again, you're still focused on the infrastructure a bit, but you've moved it up. Is that right? >> Yeah, that's exactly right. We see our goal as abstracting the complexity of the underlying application data and infrastructure. So, I mean, it's quite amazing-- >> So it could be easily reconfigured to a business's needs. >> Exactly, so whether you're on Hadoop and now you're thinking about moving to Snowflake or tomorrow something else that comes up, the orchestration or the workflow, you know, that's as a business as a product that's our goal is to continue to evolve quickly and in a manner that we continue to abstract the complexity so from-- >> So I've got to ask you, we've been having a lot of conversations around Hadoop versus Kubernetes on multi cloud, so as cloud has certainly come in and changed the game, there's no debate on that. How it changes is debatable, but we know that multiple clouds is going to be the modus operandus for customers. >> Correct. >> So I got a lot of data and now I've got pipelining complexities and workflows are going to get even more complex, potentially. How do you see the impact of the cloud, how are you guys looking at that, and what are some customer use cases that you see for you guys? >> So the, what I mentioned earlier, that being platform and technology agnostic is actually one of the unique differentiating factors for us, so whether you are an AWS or an Azure or a Google or On-Prem or still on a mainframe, a lot of, we're in New York, a lot of the banks, insurance companies here still do some of the most critical processing on the mainframe. The ability to abstract all of that whether it's cloud or legacy solutions is one of our key enablers for our customers, and I'll give you an example. So Malwarebytes is one of our customers and they've been using Control M for several years. Primarily the entire structure is built on AWS, but they are now utilizing Google cloud for some of their recommendation analysis on sentiment analysis because their goal is to pick the best of breed technology for the problem they're looking to solve. >> Service, the best breed service is in the cloud. >> The best breed service is in the cloud to solve the business problem. So from Control M's perspective, transcending from AWS to Google cloud is completely abstracted for them, so runs Google tomorrow it's Azure, they decide to build a private cloud, they will be able to extend the same workflow orchestration. >> But you can build these workflows across whatever set of services are available. >> Correct, and you bring up an important point. It's not only being able to build the workflows across platforms but being able to define dependencies and track the dependencies across all of this, because none of this is happening in silos. If you want to use Google's API to do the recommendations, well, you've got to feed it the data, and the data's pipeline, like we talked about last time, data ingestion, data storage, data processing, and analytics have very, very intricate dependencies, and these solutions should be able to manage not only the building of the workflow but the dependencies as well. >> But you're defining those elements as fundamental building blocks through a control model >> Correct. >> That allows you to treat the higher level services as reliable, consistent, capabilities. >> Correct, and the other thing I would like to add here is not only just build complex multiplatform, multiapplication workflows, but never lose focus of the business service of the business process there, so you can tie all of this to a business service and then, these things are complex, there are problems, let's say there's an ETL job that fails somewhere upstream, Control M will immediately be able to predict the impact and be able to tell you this means the recommendation engine will not be able to make the recommendations. Now, the staff that's going to work under mediation understands the business impact versus looking at a screen where there's 500 jobs and one of them has failed. What does that really mean? >> Set priorities and focal points and everything else. >> Right. >> So I just want to wrap up by asking you how your talk went at Strata Hadoop Data Conference. What were you talking about, what was the core message? Was it Control M, was it customer presentations? What was the focus? >> So the focus of yesterday's talk was actually, you know, one of the things is academic talk is great, but it's important to, you know, show how things work in real life. The session was focused on a real-use case from a customer. Navistar, they have IOT data-driven pipelines where they are predicting failures of parts inside trucks and buses that they manufacture, you know, reducing vehicle downtime. So we wanted to simulate a demo like that, so that's exactly what we did. It was very well received. In real-time, we spun up EMR environment in AWS, automatically provision control of infrastructure there, we applied spark and machine learning algorithms to the data and out came the recommendation at the end was that, you know, here are the vehicles that are-- >> Fix their brakes. (laughing) >> Exactly, so it was very, very well received. >> I mean, there's a real-world example, there's real money to be saved, maintenance, scheduling, potential liability, accidents. >> Liability is a huge issue for a lot of manufacturers. >> And Navistar has been at the leading edge of how to apply technologies in that business. >> They really have been a poster child for visual transformation. >> They sure have. >> Here's a company that's been around for 100 plus years and when we talk to them they tell us that we have every technology under the sun that has come since the mainframe, and for them to be transforming and leading in this way, we're very fortunate to be part of their journey. >> Well we'd love to talk more about some of these customer use cases. Other people love about theCUBE, we want to do more of them, share those examples, people love to see proof in real-world examples, not just talk so appreciate it sharing. >> Absolutely. >> Thanks for sharing, thanks for the insights. We're here Cube live in New York City, part of CubeNYC, we're getting all the data, sharing that with you. I'm John Furrier with Peter Burris. Stay with us for more day two coverage after this short break. (upbeat music)

>> Announcer: Live from Midtown Manhattan its theCUBE. Covering BigData New York City 2017. Brought to you by SiliconANGLE Media and it's ecosystem sponsors. >> His name is Jim Kobielus. >> Jim: That right, John Furrier is actually how I pronounce his name for the record. But he is Basil Faruqui. >> Basil Faruqui who's the solutions marketing manager at BMC, welcome to theCUBE. >> Basil: Thank you, good to be back on theCUBE. >> So, first of all, I heard you guys had a tough time in Houston, so hope everything's getting better and best wishes. >> Basil: Definitely in recovery mode now. >> Hopefully that can get straightened out. What's going on BMC, give us a quick update and in context to BigData NYC what's happening, what is BMC doing in the the big data space now? The AI space now, the IoT space now, the cloud space? >> Like you said you know the data space, the IoT space. the AI space. There are four components of this entire picture that literally haven't changed since the beginning of computing. If you look at those four components of a data pipeline a suggestion, storage. processing and analytics. What keeps changing around it is the infrastructure, the types of data, the volume of data and the applications that surround it. The rate of change has picked up immensely over the last few years with Hadoop coming into the picture, public cloud providers pushing it. It's obviously created a number of challenges, but one of the biggest challenges that we are seeing in the market and we're helping customers address is the challenge of automating this. And obviously the benefit of automation is in scalability as well as reliability. So when you look at this rather simple data pipeline, which is now becoming more and more complex. How do you automate all of this from a single point of control? How do you continue to absorb new technologies and not re-architect your automation strategy every time. Whether it's Hadoop, whether it's bringing in machine learning from a cloud provider. And that is the the issue we've been solving for customers. >> All right, let me jump into it. So first of all you mention some things some things that never change, ingestion storage, and what was the third one? >> Ingestions, storage, processing and eventual analytics. >> So OK, so that's cool, totally buy that. Now if you move and say hey okay so you believe that's standard but now in the modern era that we live in, which is complex, you want breadth of data, and also you want the specialization when you get down the machine learning. That's highly bound, that's where the automation it is right now. We see the trend essentially making that automation more broader as it goes into the customer environments. >> Basil: Correct. >> How do you architect that? If I'm a CXO to I'm a CDO, what's in it for me? How do I architect this because that's really the number one thing is I know what the building blocks are but they've changed in their dynamics to the marketplace. >> So the way I look at it is that what defines success and failure, and particularly in big data projects, is your ability to scale. If you start a pilot and you spend, you know, three months on it and you deliver some results. But if you cannot roll it out worldwide, nationwide, whatever it is essentially the project has failed. The analogy often give is Walmart has been testing the pick up tower, I don't know if you seen, so this is basically a giant ATM for you to go pick up an order that you placed online. They're testing this at about hundred stores today. Now that's a success and Walmart wants to roll this out nationwide. How much time do you think their IT departments can have? Is this is a five year project, ten year project? No, the management's going to want this done six months, ten months. So essentially, this is where automation becomes extremely crucial because it is now allowing you to deliver speed to market and without automation you are not going to be able to get to an operational stage in a repeatable and reliable manner. >> You're describing a very complex automation scenario. How can you automate in a hurry without sacrificing you know, the details of what needs to be, In other words, you seem to call for re purposing or reusing prior automation scripts and rules and so forth. How how can the Walmart's of the world do that fast, but also do it well? >> So we do it we go about it in two ways. One is that out of the box we provide a lot of pre built integrations to some of the most commonly used systems in an enterprise. All the way up from the mainframes, Oracle's, SAP's Hadoop, Tableau's, of the world. They're all available out of the box for you to quickly reuse these objects and build an automated data pipeline. The other challenge we saw, and particularly when we entered the big data space four years ago, was that the automation was something that was considered close to the project becoming operational. And that's where a lot of rework happened because developers have been writing their own scripts, using point solutions. So we said all right, it's time to shift automation left and allow companies to build automation as an artifact very early in the development lifecycle. About a month ago we released what we call Control-M Workbench which is essentially a Community Edition of Control-M targeted towards developers. So that instead of writing their own scripts they can use a Control-M in a completely offline manner without having to connect to an enterprise system. As they build and test and iterate, they're using Control-M to do that. So as the application progresses the development lifecycle, and all of that work can then translate easily into an Enterprise Edition of Control-M. >> So quickly, just explain what shift-left means for the folks that might not know software methodologies, left political or left alt-right, this is software development so please take a minute explain what shift-left means, and the importance of it. >> Correct, so the if you if you think of software development and as a straight line continuum you can start with building some code, you will do some testing, then unit testing, than user acceptance testing. As it moves along this chain, there was a point right before production where all of the automation used to happen. You know, developers would come in and deliver the application to ops, and ops would say, well hang on a second all this CRON tab and all these other point solutions have been using for automation, that's not what we use in production. And we need you to now. >> To test early and often. >> Test early and often. The challenge was the developers, the tools they use, we're not the tools that were being used on the production end of the cycle. And there was good reason for it because developers don't need something really heavy and with all the bells and whistles early in the development lifecycle. Control-M Workbench is a very light version which is targeted at developers and focuses on the needs that they have when they're building and developing as the application progresses through its life cycle. >> How much are you seeing Waterfall and then people shifting-left becoming more prominent now. What percentage of your customers have moved to Agile and shifting-left percentage wise? >> So we survey our customers on a regular basis. In the last survey showed that 80% of the customers have either implemented a more continuous integration delivery type of framework, or are in the process of doing it. And that's the other. >> And getting upfront costs as possible, a tipping point is reached. >> What is driving all of that is the need from the business, you know, the days of the five year implementation timelines are gone. This is something that you need to deliver every week, two weeks, and iteration. And we have also innovated in that space and the approach we call Jobs-as-Code where you can build entire, complex data pipelines in code formats so that you can enable the automation in a continuous integration and delivery framework. >> I have one quick question, Jim, and then I'll let you take the floor and got to learn to get a word in soon. But I have one final question on this BMC methodology thing. You guys have a history obviously BMC goes way back. Remember Max Watson CEO, and then in Palm Beach back in 97 we used to chat with him. Dominated that landscape, but we're kind of going back to a systems mindset, so the question for you is how do you view the issue of the this holy grail, the promised land of AI and machine learning. Where, you know, end-to-end visibility is really the goal, right. At the same time, you want bounded experiences at root level so automation can kick in to enable more activity. So it's a trade off between going for the end-to-end visibility out of the gate, but also having bounded visibility and data to automate. How do you guys look at that market because customers want the end-to-end promise, but they don't want to try to get there too fast as a dis-economies of scale potentially. How do you talk about that? >> And that's exactly the approach we've taken with Control-M Workbench the Community Edition. Because early on you don't need capabilities like SLA management and forecasting and automated promotion between environments. Developers want to be able to quickly build, and test and show value, OK. And they don't need something that, as you know, with all the bells and whistles. We're allowing you to handle that piece in that manner, through Control-M Workbench. As things progress, and the application progresses, the needs change as well. Now I'm closer to delivering this to the business, I need to be able to manage this within an SLA. I need to be able to manage this end-to-end and connect this other systems of record and streaming data and click stream data, all of that. So that we believe that there it doesn't have to be a trade off. That you don't have to compromise speed and quality and visibility and enterprise grade automation. >> You mention trade-offs so the Control-M Workbench the developer can use it offline, so what amount of testing can they possibly do on a complex data pipeline automation, when it's when the tool is off line? I mean it simply seems like the more development they do off line, the greater the risk that it simply won't work when they go into production. Give us a sense for how they mitigate that risk. >> Sure, we spent a lot of time observing how developers work and very early in the development stage, all they're doing is working off of their Mac or their laptop and they're not really connecting to any. And that is where they end up writing a lot of scripts because whatever code, business logic, that they've written the way they're going to make it run is by writing scripts. And that essentially becomes a problem because then you have scripts managing more scripts and as the the application progresses, you have this complex web of scripts and CRON tabs and maybe some open source solutions. trying to make, simply make, all of this run. And by doing this I don't know offline manner that doesn't mean that they're losing all of the other controlling capabilities. Simply, as the application progresses whatever automation that they've built in Control-M can seamlessly now flow into the next stage. So when you are ready take an application into production there is essentially no rework required from an automation perspective. All of that that was built can now be translated into the enterprise grade Control-M and that's where operations can then go in and add the other artifacts such as SLA management forecasting and other things that are important from an operational perspective. >> I'd like to get both your perspectives because you're like an analyst here. So Jim, I want you guys to comment, my question to both of you would be you know, looking at this time in history, obviously on the BMC side, mention some of the history. You guys are transforming on a new journey and extending that capability in this world. Jim, you're covering state of the art AI machine learning. What's your take of the space now? Strata Data which is now Hadoop World, which is, Cloudera went public, Hortonworks is now public. Kind of the big, the Hadoop guys kind of grew up, but the world has changed around them. It's not just about Hadoop anymore. So I want to get your thoughts on this kind of perspective. We're seeing a much broader picture in BigData NYC versus the Strata Hadoop, which seems to be losing steam. But, I mean, in terms of the focus, the bigger focus is much broader horizontally scalable your thoughts on the ecosystem right now. >> Let Basil answer first unless Basil wants me to go first. >> I think the reason the focus is changing is because of where the projects are in their life cycle. You know now what we're seeing is most companies are grappling with how do I take this to the next level. How do I scale, how do I go from just proving out one or two use cases to making the entire organization data driven and really inject data driven decision making in all facets of decision making. So that is, I believe, what's driving the change that we're seeing, that you know now you've gone from Strata Hadoop to being Strata Data, and focus on that element. Like I said earlier, these difference between success and failure is your ability to scale and operationalize. Take machine learning for example. >> And really it's not a hype market. Show me the meat on the bone, show me scale, I got operational concerns of security and whatnot. >> And machine learning you know that's one of the hottest topics. A recent survey I read which polled a number of data scientists, it revealed that they spent about less than 3% of their time in training the data models and about 80% of their time in data manipulation, data transformation and enrichment. That is obviously not the best use of the data scientists time, and that is exactly one of the problems we're solving for our customers around the world. >> And it needs to be automated to the hilt to help them to be more productive delivering fast results. >> Ecosystem perspective, Jim whats you thoughts? >> Yes everything that Basil said, and I'll just point out that many of the core use cases for AI are automation of the data pipeline. You know it's driving machine learning driven predictions, classifications, you know abstractions and so forth, into the data pipeline, into the application pipeline to drive results in a way that is contextually and environmentally aware of what's going on. The path, the history historical data, what's going on in terms of current streaming data to drive optimal outcomes, you know, using predictive models and so forth, in line to applications. So really, fundamentally then, what's going on is that automation is an artifact that needs to be driven into your application architecture as a re-purposeful resource for a variety of jobs. >> How would you even know what to automate? I mean that's the question. >> You're automating human judgment, your automating effort. Like the judgments that a working data engineer makes to prepare data for modeling and whatever. More and more that need can be automated because those are patterned, structured activities that have been mastered by smart people over many years. >> I mean we just had a customer on his with a glass company, GSK, with that scale, and his attitude is we see the results from the users then we double down and pay for it and automate it. So the automation question, it's a rhetorical question but this begs the question, which is you know who's writing the algorithms as machines get smarter and start throwing off their own real time data. What are you looking at, how do you determine you're going to need you machine learning for machine learning? You're going to need AI for AI? Who writes the algorithms for the algorithms? >> Automated machine learning is a hot hot, not only research focus, but we're seeing it more and more solution providers like Microsoft and Google and others, are going deep down doubling down and investments in exactly that area. That's a productivity play for data scientists. >> I think the data markets going to change radically in my opinion, so you're starting to see some things with blockchain some other things that are interesting. Data sovereignty, data governance are huge issues. Basil, just give your final thoughts for this segment as we wrap this up. Final thoughts on data and BMC, what should people know about BMC right now, because people might have a historical view of BMC. What's the latest, what should they know, what's the new Instagram picture of BMC? What should they know about you guys? >> I think what I would say people should know about BMC is that you know all the work that we've done over the last 25 years, in virtually every platform that came before Hadoop, we have now innovated to take this into things like big data and cloud platforms. So when you are choosing Control-M as a platform for automation, you are choosing a very very mature solution. An example of which is Navistar and their CIO is actually speaking at the keynote tomorrow. They've had Control-M for 15, 20 years and have automated virtually every business function through Control-M. And when they started their predictive maintenance project where there ingesting data from about 300 thousand vehicles today, to figure out when this vehicle might break and do predictive maintenance on it. When they started their journey they said that they always knew that they were going to use Control-M for it because that was the enterprise standard. And they knew that they could simply now extend that capability into this area. And when they started about three four years ago there were ingesting data from about a hundred thousand vehicles, that has now scaled over 325 thousand vehicles and they have not had to re-architect their strategy as they grow and scale. So, I would say that is one of the key messages that we are are taking to market, is that we are bringing innovation that has spanned over 25 years and evolving it. >> Modernizing it. >> Modernizing it and bringing it to newer platforms. >> Congratulations, I wouldn't call that a pivot, I'd call it an extensibility issue, kind of modernizing the core things. >> Absolutely. >> Thanks for coming and sharing the BMC perspective inside theCUBE here. On BigData NYC this is theCUBE. I'm John Furrier, Jim Kobielus here in New York City, more live coverage the three days we will be here, today, tomorrow and Thursday at BigData NYC. More coverage after this short break.

(upbeat music) >> Announcer: Live from San Jose, California, it's theCUBE covering Big Data Silicon Valley 2017. >> Welcome back everyone. We are here live in Silicon Valley for theCUBE's Big Data coverage. Our event, Big Data Silicon Valley, also called Big Data SV. A companion event to our Big Data NYC event where we have our unique program in conjunction with Strata Hadoop. I'm John Furrier with George Gilbert, our Wikibon big data analyst. And we have Basil Faruqui, who is the Solutions Marketing Manager at BMC Software. Welcome to theCUBE. >> Thank you, great to be here. >> We've been hearing a lot on theCUBE about schedulers and automation, and machine learning is the hottest trend happening in big data. We're thinking that this is going to help move the needle on some things. Your thoughts on this, on the world we're living in right now, and what BMC is doing at the show. >> Absolutely. So, scheduling and workflow automation is absolutely critical to the success of big data projects. This is not something new. Hadoop is only about 10 years old but other technologies that have come before Hadoop have relied on this foundation for driving success. If we look the Hadoop world, what gets all the press is all the real-time stuff, but what powers all of that underneath it is a very important layer of batch. If you think about some of the most common use cases for big data, if you think of a bank, they're talking about fraud detection and things like that. Let's just take the fraud detection example. Detecting an anomaly of how somebody is spending, if somebody's credit card is used which doesn't match with their spending habits, the bank detects that and they'll maybe close the card down or contact somebody. But if you think about everything else that has happened before that as something that has happened in batch mode. For them to collect the history of how that card has been used, then match it with how all the other card members use the cards. When the cards are stolen, what are those patterns? All that stuff is something that is being powered by what's today known as workload automation. In the past, it's been known by names such as job scheduling and batch processing. >> In the systems businesses everyone knows what schedulers, compilers, all this computer science stuff. But this is interesting. Now that the data lake has become so swampy, and people call it the data swamp, people are looking at moving data out of data lakes into real time, as you mention, but it requires management. So, there's a lot of coordination going on. This seems to be where most enterprises are now focusing their attention on, is to make that data available. >> Absolutely. >> Hence the notion of scheduling and workloads. Because their use cases are different. Am I getting it right? >> Yeah, absolutely. And if we look at what companies are doing, every CEO and every boardroom, there's a charter for digital transformation for companies. And, it's no longer about taking one or two use cases around big data and driving success. Data and intelligence is now at the center of everything a company does, whether it's building new customer engagement models, whether it's building new ecosystems with their partners, suppliers. Back-office optimization. So, when CIOs and data architects think about having to build a system like that, they are faced with a number of challenges. It has to become enterprise ready. It has to take into account governance, security, and others. But, if you peel the onion just a little bit, what architects and CIOs are faced with is okay, you've got a web of complex technologies, legacy applications, modern applications that hold a lot of the corporate data today. And then you have new sources of data like social media, devices, sensors, which have a tendency to produce a lot more data. First things first, you've got a ecosystem like Hadoop, which is supposed to be kind of the nerve center of the new digital platform. You've got to start ingesting all this data into Hadoop. This has to be in an automated fashion for it to be able to scalable. >> But this is the combination of streaming and batch. >> Correct. >> Now this seems to be the management holy grail right now. Nailing those two. Did I get that? >> Absolutely. So, people talk about, in technical terms, the speed layer and the batch layer. And both have to converge for them to be able to deliver the intelligence and insight that the business users are looking for. >> Would it be fair to say it's not just the convergence of the speed layer and batch layer in Hadoop but what BMC brings to town is the non-Hadoop parts of those workloads. Whether it's batch outside Hadoop or if there's streaming, which sort-of pre-Hadoop was more nichey. But we need this over-arching control, which if it's not a Hadoop-centric architecture. >> Absolutely. So, I've said this for a long time, that Hadoop is never going to live on an island on its own in the enterprise. And with the maturation of the market, Hadoop has to now play with the other technologies in the stack So if you think about, just take data ingestion for an example, you've got ERP's, you've got CRM's, you've got middleware, you've got data warehouses, and you have to ingest a lot of that in. Where Control-M brings a lot of value and speeds up time to market is that we have out-of-the box integrations with a lot of the systems that already exist in the enterprise, such as ERP solutions and others. Virtually any application that can expose itself through an API or a web service, Control-M has the ability to automate that ingestion piece. But this is only step one of the journey. So, you've brought all this data into Hadoop and now you've got to process it. The number of tools available for processing this is growing at an unprecedented rate. You've got, you know MapReduce was a hot thing just two years ago and now Spark has taken over. So Control-M, about four years ago we started building very deep native capabilities in their new ecosystem. So, you've got ingestion that's automated, then you can seamlessly automate the actual processing of the data using things like Spark, Hive, PEG, and others. And the last mile of the journey, the most important one, is them making this refined data available to systems and users that can analyze it. Often Hadoop is not the repository where analytic systems sit on top of. It's another layer where all of this has to be moved. So, if you zoom out and take a look at it, this is a monumental task. And if you use siloed approach to automating this, this becomes unscalable. And that's where a lot of the Hadoop projects often >> Crash and burn. >> Crash and burn, yes, sustainability. >> Let's just say it, they crash and burn. >> So, Control-M has been around for 30 years. >> By the way, just to add to the crash-and-burn piece, the data lake gets stalled there, that's why the swamp happens, because they're like, now how do I operationalize this and scale it out? >> Right, if you're storing a lot of data and not making it available for processing and analysis, then it's of no use. And that's exactly our value proposition. This is a problem we haven't solved for the first time. We did this as we have seen these waves of automation come through. From the mainframe time when it was called batch processing. Then it evolved into distributed client server when it was known more as job scheduling. And now. >> So BMCs have seen this movie before. >> Absolutely. >> Alright, so let's take a step back. Zoom out, step back, go hang out in the big trees, look down on the market. Data practitioners, big data practitioners out there right now are wrestling with this issue. You've got streaming, real-time stuff, you got batch, it's all coming together. What is Control-M doing great right now with practitioners that you guys are solving? Because there are a zillion tools out there, but people are human. Every hammer looks for a nail. >> Sure. So, you have a lot of change happening at the same time but yet these tools. What is Control-M doing to really win? Where are you guys winning? >> Where we are adding a lot of value for our customers is helping them speed up the time to market and delivering these big data projects, in delivering them at scale and quality. >> Give me an example of a project. >> Malwarebytes is a Silicon Valley-based company. They are using this to ingest and analyze data from thousands of end-points from their end users. >> That's their Lambda architecture, right? >> In Lambda architecture, I won't steal their thunder, they're presenting tomorrow at eleven. >> Okay. >> Eleven-thirty tomorrow. Another example is a company called Navistar. Now here's a company that's been around for 200 years. They manufacture heavy-duty trucks, 18-wheelers, school buses. And they recently came up with a service called OnCommand. They have a fleet of 160,000 trucks that are fitted with sensors. They're sending telematic data back to their data centers. And in between that stops in the cloud. So it gets to the cloud. >> So they're going up to the cloud for upload and backhaul, basically, right? >> Correct. So, it goes to the cloud. From there it is ingested inside their Hadoop systems. And they're looking for trends to make sure none of the trucks break down because a truck that's carrying freight breaks down hits the bottom line right away. But that's not where they're stopping. In real time they can triangulate the position of the truck, figure out where the nearest dealership is. Do they have the parts? When to schedule the service. But, if you think about it, the warranty information, the parts information is not sitting in Hadoop. That's sitting in their mainframes, SAP systems, and others. And Control-M is orchestrating this across the board, from mainframe to ERP and into Hadoop for them to be able to marry all this data together. >> How do you get back into the legacy? That's because you have the experience there? Is that part of the product portfolio? >> That is absolutely a part of the product portfolio. We started our journey back in the mainframe days, and as the world has evolved, to client server to web, and now mobile and virtualized and software-defined infrastructures, we have kept pace with that. >> You guys have a nice end-to-end view right now going on. And certainly that example with the trucks highlights IOT rights right there. >> Exactly. You have a clear line of sight on IOT? >> Yup. >> That would be the best measure of your maturity is the breadth of your integrations. >> Absolutely. And we don't stop at what we provide just out of the box. We realized that we have 30 to 35 out-of-the box integrations but there are a lot more applications than that. We have architected control them in a way where that can automate data loads on any application and any database that can expose itself through an API. That is huge because if you think about the open-source world, by the time this conference is going to be over, there's going to be a dozen new tools and projects that come online. And that's a big challenge for companies too. How do you keep pace with this and how do you (drowned out) all this? >> Well, I think people are starting to squint past the fashion aspect of open source, which I love by the way, but it does create more diversity. But, you know, some things become fashionable and then get big-time trashed. Look at Spark. Spark was beautiful. That one came out of the woodwork. George, you're tracking all the fashion. What's the hottest thing right now on open source? >> It seems to me that we've spent five-plus years building data lakes and now we're trying to take that data and apply the insides from it to applications. And, really Control-M's value add, my understanding is, we have to go beyond Hadoop because Hadoop was an island, you know, an island or a data lake, but now the insides have to be enacted on applications that go outside that ecosystem. And that's where Control-M comes in. >> Yeah, absolutely. We are that overarching layer that helps you connect your legacy systems and modern systems and bring it all into Hadoop. The story I tell when I'm explaining this to somebody is that you've installed Hadoop day-one, great, guess what, it has no data in it. You've got to ingest data and you have to be able to take a strategic approach to that because you can use some point solutions and do scripting for the first couple of use cases, but as soon as the business gives us the green light and says, you know what, we really like what we've seen now let's scale up, that's where you really need to take a strategic approach, and that's where Control-M comes in. >> So, let me ask then, if the bleeding edge right now is trying to operationalize the machine learning models that people are beginning to experiment with, just the way they were experimenting with data lakes five years ago, what role can Control-M play today in helping people take a trained model and embed it in an application so it produces useful actions, recommendations, and how much custom integration does that take? >> If we take the example of machine learning, if you peel the onion of machine learning, you've got data that needs to be moved, that needs to be constantly evaluated, and then the algorithms have to be run against it to provide the insights. So, this in itself is exactly what Control-M allows you to do, is ingest the data, process the data, let the algorithms process it, and then of course move it to a layer where people and other systems, it's not just about people anymore, it's other systems that'll analyze the data. And the important piece here is that we're allowing you to do this from a single pane of glass. And being able to see this picture end to end. All of this work is being done to drive business results, generating new revenue models, like in the case of Navistar. Allowing you to capture all of this and then tie it to business SOAs, that is one of the most highly-rated capabilities of Control-M from our customers. >> This is the cloud equation we were talking last week at Google Next. A combination of enterprise readiness across the board. The end-to-end is the picture and you guys are in a good position. Congratulations, and thanks for coming on theCUBE. Really appreciate it. >> Absolutely, great to be here. >> It's theCUBE breaking it down here at Big Data World. This is the trend. It's an operating system world in the cloud. Big data with IOT, AI, machine learning. Big themes breaking out early-on at Big Data SV in conjunction with Strata Hadoop. More right after this short break.