>> Narrator: Live from Midtown Manhattan it's theCUBE! Covering Big Data, New York City 2017. Brought to you by SiliconANGLE Media and its ecosystem sponsor. >> Okay, welcome back everyone. Live here in New York this is theCUBE's coverage of Big Data NYC, our event. We've been doing it for five years, it's our event in conjunction with Strata Data, which is the O'Reilly Media that we run, it's a separate event. But we've been covering the Big Data for eight years since 2010, Hadoop World. This is theCUBE. Of course theCUBE is never going to change, they might call it Strata AI next year, whatever trend that they might see. But we're going to keep it theCUBE. This is in New York City, our eighth year of coverage. Guys, welcome to theCUBE. Our next two guests is Andrew Burt, Chief Privacy Officer and Andrew Gillman, Chief Customer Officer and CMO. It's a start-up so you got all these fancy titles, but you're on the A-team from Immuta. Hot start-up. Welcome to theCUBE. Great to see you again. >> Thanks for having us, appreciate it. >> Okay, so you guys are the start-up feature here this week on theCUBE, our little segment here. I think you guys are the hottest start-up that is out there and that people aren't really talking a lot about. So you guys are brand new, you guys have got a really good reputation. Getting a lot of props inside the community. Especially in the people who know data, data science, and know some of the intelligence organizations. But respectful people like Dan Hutchin says you guys are rockstars and doing great. So why all the buzz inside the community? Now you guys are just starting to go to the market? What's the update on the company? >> So great story. Founded in 2014, (mumbles) Investment, it was announced earlier this year. And the team, group of serial entrepreneurs sold their last company CSC, ran the public sector business for them for a while. Really special group of engineers and technologists and data scientists. Headquartered out of D.C. Customer success organization out of Columbus, Ohio, and we're servicing Fortune 100 companies. >> John: So Immuta, I-M-M-U-T-A. >> Immuta.com we just launched the new website earlier this week in preparation for the show. And the easiest way-- >> Immuta, immutable, I mean-- >> Immutable, I'm sure there's a backstory. >> Immutable, yeah. We do not ever touch the raw data. So we're all about managing risk and managing the integrity of the data. And so risk and integrity and security are baked into everything we do. We want our customers to know that their data will be immutable, and that in using us they'll never pose an additional risk to that underlying data. >> I think of blockchain when I think of immutability, like I'm so into blockchaining these dayS as you guys know, I've been totally into it. >> There's no blockchain in their technology. >> I know, but let's get down to why the motivation to enter the market. There's a lot of noisy stuff out there. Why do we need another unified platform? >> The big opportunity that we saw was, organizations had spent basically the past decade refining and upgrading their application infrastructure. But in doing so under the guise of digital transformation. We've really built that organization's people processes to support monolithic applications. Now those applications are moving to the cloud, they're being rearchitected in a microsurfaces architecture. So we have all this data now, how do we manage it for the new application, which we see is really algorithm-centric? The Amazons of the world have proven, how do you compete against anyone? How do you disrupt any industry? That's operationalize your data in a new way. >> Oh, they were developer-centric right? They were very focused on the developer. You guys are saying you're algorithm-centric, meaning the software within the software kind of thing. >> It's really about, we see the future enterprise to compete. You have to build thousands of algorithms. And each one of those algorithms is going to do something very specific, very precise, but faster than any human can do. And so how do you enable an application, excuse me, an algorithm-centric infrastructure to support that? And today, as we go and meet with our customers and other groups, the people, the processes, the data is everywhere. The governance folks who have to control how the data is used, the laws are dynamic. The tooling is complex. So this whole world looks very much like pre-DevOps IT, or pre-cloud IT. It takes on average between four to six months to get a data scientist up and running on a project. >> Let's get into the company. I wanted to just get that gist out, put some context. I see the problem you solve: a lot of algorithms out there, more and more open sources coming up to the scene. With the Linux Foundation, having their new event Rebrand the Open Source summit, shows exponential growth in open source. So no doubt about it, software's going to be new guys coming on, new gals. Tons of software. What is the company positioning? What do you guys do? How many employees? Let's go down by the numbers and then talk about the problem that you solve. >> Okay, cool. So, company. We'll be about 40 people by Q1. Heavy engineering, go to market. We're operating and working with, as I mentioned, Fortune 100 clients. Highly regulated industries. Financial services, healthcare, government, insurance, et cetera. So where you have lots of data that you need to operationalize, that's very sensitive to use. What else? Company positioning. So we are positioned as data management for data science. So the opportunity that we saw, again, managing data for applications is very different than managing data for algorithm development, data sciences. >> John: So you're selling to the CDO, Chief Data Officer? Are you selling to the analytics? >> In a lot of our customers, like in financial services, we're going right into the line of business. We're working with managing directors who are building next generation analytics infrastructure that need to unify and connect the data in a new way that's dynamic. It's not just the data that they have within their organization, they're looking to bring data in from outside. They want to also work collaboratively with governance professionals and lawyers who in financial services, they are, you know, we always jest in the company that different organizations have these cool new tools, like data scientists have all their new tools. And the data owners have flash disks and they have all this. But the governance people still have Microsoft Word. And maybe the newer tools are like Wikis. So now we can get it off of Word and make it shareable. But what we allow them to do is, and what Andrew Burt has really driven, is the ability for you to take internal logic, internal policies, external regulations, and put them into code that becomes dynamically enforceable as you're querying the data, as you're using it, to train algorithms, and to drive, mathematical decision-making in the enterprise. >> Let's jump into some of the privacy. You're the Chief Privacy Officer, which is codeword for you're doing all the governance stuff. And there's a lot of stuff business-wise that's going on around GDPR which is actually relevant. There's a lot of dollars on table for that too, so it's probably good for business. But there's a lot of policy stuff going on. What's going on with you guys in this area? >> So I think policy is really catching up to the world of big data. We've known for a very long time that data is incredibly important. It's the lifeblood of an increasingly large number of organizations, and because data is becoming more important, laws are starting to catch up. I think GDPR is really, it's hot to talk about. I think it is just the beginning of a larger trend. >> People are scared. People are nervous. It's like they don't know, this could be a blank check that they're signing away. The enforcement side is pretty outrageous. >> So I mean-- >> Is that right? I mean people are scared, or do you think? >> I think people are terrified because they know that its important, and they're also terrified because data scientists, and folks in IT have never really had to think very seriously about implementing complex laws. I think GDPR is the first example of laws, forcing technology to basically blend software and law. The only way, I mean one of our theses is, the only way to actually solve for GDPR is to invent laws within the software you're using. And so, we're moving away from this meetings and memos type approach to governing data, which is very slow and can take months, and we need it to happen dynamically. >> This is why I wanted to bring you guys in. Not only, Andrew, we knew each other from another venture, but what got my attention for you guys was really this intersection between law and society and tech. And this is just the beginning. You look at the tell-signs there. Peter Burris who runs research for Wikibon coined the term programming the real world. Life basically. You've got wearables, you've got IOT, this is happening. Self-driving cars. Who decides what side of the street people walk on now? Law and code are coming together. That's algorithm. There'll be more of them. Is there an algorithm for the algorithms? Who teaches the data set, who shares the data set? Wait a minute, I don't want to share my data set because I have a law that says I can't. Who decides all this stuff? >> Exactly. We're starting to enter a world where governments really, really care about that stuff. Just in-- >> In Silicon Valley, that's not in their DNA. You're seeing it all over the front pages of the news, they can't even get it right in inclusion and diversity. How can they work with laws? >> Tension is brewing. In the U.S. our regulatory environment is a little more lax, we want to see innovation happen first and then regulate. But the EU is completely different. Their laws in China and Russia and elsewhere around the world. And it's basically becoming impossible to be a global organization and still take that approach where you can afford to be scared of the law. >> John: I don't know how I feel about this because I get all kinds of rushes of intoxication to fear. Look at what's going on with Bitcoin and Blockchain, underbelly is a whole new counterculture going on around in-immutable data. Anonymous cultures, where they're complete anonymous underbellies going on. >> I think the risk-factors going up, when you mentioned IOTs, so its where you are and your devices and your home. Now think about 23 and Me, Verily, Freenome, where you're digitizing your DNA. We've already started to do that with MRIs and other operations that we've had. You think about now, I'm handing over my DNA to an organization because I want find out my lineage. I want to learn about where I came from. How do I make sure that the derived data off of that digital DNA is used properly? Not just for me, as Andrew, but for my progeny. That introduces some really interesting ethical issues. It's an intersection of this new wave of investment, to your point, like in Silicon Valley, of bringing healthcare into data science, into technology and the intersection. And the underpinning of the whole thing is the data. How do we manage the data, and what do we do-- >> And AI really is the future here. Even though machine-learning is the key part of AI, we just put out an article this morning on SiliconANGLE from Gina Smith, our new writer. Google Brain Chief: AI tops humans in computer vision, and healthcare will never be the same. They talk about little things, like in 2011 you can barely do character recognition of pictures, now you can 100%. Now you take that forward, in Heidelberg, Germany, the event this week we were covering the Heidelberg Laureate Forum, or HLF 2017. All the top scientists were there talking about this specific issue of, this is society blending in with tech. >> Absolutely. >> This societal impact, legal impact, kind of blending. Algorithms are the only thing that are going to scale in this area. This is what you guys are trying to do, right? >> Exactly, that's the interesting thing. When you look at training models and algorithms in AI, right, AI is the new cloud. We're in New York, I'm walking down the street, and there's the algorithm you're writing, and everything is Ernestine Young. Billboards on algorithms, I mean who would have thought, right? An AI. >> John: theCUBE is going to be an AI pretty soon. "Hey, we're AI! "Brought to you by, hey, Siri, do theCUBE interview." >> But the interesting part of the whole AI and the algorithm is you have n number of models. We have lots of data scientists and AI experts. Siri goes off. >> Sorry Siri, didn't mean to do that. >> She's trying to join the conversation. >> Didn't mean to insult you, Siri. But you know, it's applied math by a different name. And you have n number of models, assuming 90% of all algorithms are single linear regression. What ultimately drives the outcome is going to be how you prepare and manage the data. And so when we go back to the governance story. Governance in applications is very different than governance in data science because how we actually dynamically change the data is going to drive the outcome of that algorithm directly. If I'm in Immuta, we connect the data, we connect the data science tools. We allow you to control the data in a unique way. I refer to that as data personalization. It's not just, can I subscribe to the data? It's what does the data look like based on who I am and what those internal and external policies are? Think about this for example, I'm training a model that doesn't mask against race, and doesn't generalize against age. What do you think is going to happen to that model when it goes to start to interact? Either it's delivered as-- >> Well context is critical. And the usability of data, because it's perishable at this point. Data that comes in quick is worth more, but historically the value goes down. But it's worth more when you train the machine. So it's two different issues. >> Exactly. So it's really about longevity of the model. How can we create and train a model that's going to be able to stay in? It's like the new availability, right? That it's going to stay, it's going to be relevant, and it's going to keep us out of jail, and keep us from getting sued as long as possible. >> Well Jeff Dean, I just want to quote one more thing to add context. I want to ask Andrew over here about his view on this. Jeff Dean, the Google Brain Chief behind all of the stuff is saying AI-enabled healthcare. The sector's set to grow at an annual rate of 40% through 2021, when it's expected to hit 6.6 billion spent on AI-enabled healthcare. 6.6 billion. Today it's around 600 million. That's the growth just in AI healthcare impact. Just healthcare. This is going to go from a policy privacy issue, One, healthcare data has been crippled with HIPPA slowing us down. But where is the innovation going to come from? Where's the data going to be in healthcare? And other verticals. This is one vertical. Financial services is crazy too. >> I mean, honestly healthcare is one of the most interesting examples of applied AI, and it's because there's no other realm, at least now, where people are thinking about AI, and the risk is so apparent. If you get a diagnosis and the doctor doesn't understand why it's very apparent. And if they're using a model that has a very low level of transparency, that ends up being really important. I think healthcare is a really fascinating sector to think about. But all of these issues, all of these different types of risks that have been around for a while are starting to become more and more important as AI takes-- >> John: Alright, so I'm going to wrap up here. Give you guys both a chance, and you can't copy each other's answer. So we'll start with you Andrew over here. Explain Immuta in a simple way. Someone who's not in the industry. What do you guys do? And then do a version for someone in the industry. So elevator pitch for someone who's a friend, who's not in the industry, and someone who is. >> So Immuta is a data management platform for data science. And what that actually gives you is, we take the friction out of trying to access data, and trying to control data, and trying to comply with all of the different rules that surround the use of that data. >> John: Great, now do the one for normal people. >> That was the normal pitch. >> Okay! (laughing) I can't wait to hear the one for the insiders. >> And then for the insiders-- >> Just say, "It's magic". >> It's magic. >> We're magic, you know. >> Coming from the infrastructure role, I like to refer to it as a VMWare for data science. We create an abstraction layer than sits between the data and the data science tools, and we'll dynamically enforce policies based on the values of the organization. But also, it drives better outcomes. Because today, the data owners aren't confident that you're going to do with the data what you say you're going to do. So they try to hold it. Like the old server-huggers, the data-huggers. So we allowed them to unlock that and make it universally available. We allow the governance people to get off those memos, that have to be interpreted by IT and enforced, and actually allow them to write code and have it be enforced as the policy mandates. >> And the number one problem you solve is what? >> Accelerate with confidence. We allow the data scientists to go and build models faster by connecting to the data in a way that they're confident that when they deploy their model, that it's going to go into production, and it's going to stay into production for as long as possible. >> And what's the GDPR angle? You've got the legal brain over here, in policy. What's going on with GDPR? How are you guys going to be a solution for that? >> We have the most, I'd say, robust option of policy enforcement on data, I think, available. We make it incredibly easy to comply with GDPR. We actually put together a sample memo that says, "Here's what it looks like to comply with GDPR." It's written from a governance department, sent to the internal data science department. It's about a page and a half long. We actually make that very onerous process-- >> (mumbles) GDPR, you guys know the size of that market? In terms of spend that's going to be coming around the corner? I think it's like the Y2K problem that's actually real. >> Exactly, it feels the same way. And actually Andrew and his team have taken apart the regulation article by article and have actually built-in product features that satisfy that. It's an interesting and unique--- >> John: I think it's really impressive that you guys bring a legal and a policy mind into the product discussion. I think that's something that I think you guys are doing a little bit different than I see anyone out there. You're bringing legal and policy into the software fabric, which is unique, and I think it's going to be the standard in my opinion. Hopefully this is a good trend, hopefully you guys keep in touch. Thanks for coming on theCUBE, thanks for-- >> Thanks for having us. >> For making time to come over. This is theCUBE, breaking out the start-up action sharing the hot start-ups here, that really are a good position in the marketplace, as the generation of the infrastructure changes. It's a whole new ballgame. Global development platform, called the Internet. The new Internet. It's decentralized, we even get into Blockchain, we want to try that a little later, maybe another segment. It's theCUBE in New York City. More after this short break.

>> Narrator: Live from Las Vegas it's theCUBE covering NAB 2017. Brought to you by HGST. (techno music) >> Hey welcome back everybody. I'm Jeff Frick and you're watching theCUBE. We're at NAB 2017. A hundred thousand people, Las Vegas Convention Center. The place is packed from top to bottom, 3 halls, 2 floors. Hopefully you can find theCUBE if you're looking to find us. It's hard to find it. A lot of people here. We're excited to be joined by I think the best title of anyone that we've had on the show over the last couple days. It's all about content, but at the end of the day you got to find content creators. And we've got one here. Lucas Gilman lists as adventure photographer, filmmaker, and G-Technology, GTeam ambassador. Lucas, great to see you, thanks for stopping by. >> Thanks for having me. >> So tell us a little bit about your company. I know you're an independent photographer, videographer. Some of the work that you do, some of the stuff that keeps you busy from Monday 9 to 5. >> Exactly. So a small film production company. We also do stills. So it's sort of a one-stop shop for a lot of brands that I work with. We're basically trying to service everything from still images for advertising purposes and commercial purposes to video for commercials, advertisements, and/or stock use. >> So as you look around, the ways that you can now capture imagery, I'll just say as a more generic term, with 360 cameras and drones and regular photography and GoPros and all of this different stuff. I mean, what a palate of tools that you have to work with. >> It's amazing how the technology is really changed. I remember that when I first started out in the photography and digital photography, we would have 16 megabyte cards and now I'm using SanDisk cards that are 256 gigabytes. And the -- >> The 1 T's are coming, I keep seeing >> Lucas: Yeah, yeah exactly. - the 1 terabytes are coming. >> We're excited to get some of those. (laughing) But yeah, it's crazy that sensor technology keeps getting better, more pixels, more data. Which really throws sort of another monkey wrench into your solution because the cameras are getting higher capacity every year. We just shot a project in Iceland with a RED 8K Helium camera. That's a 36 megapixel still camera essentially, but shooting 24 frames or 30 frames per second of data. So we're talking, we shot 24 terabytes in a week. (laughing) >> 24 terabytes in a week. >> Lucas: In a week. >> Yeah so definitely adds a whole other layer of complexity now. Because now you can shoot so much, you can shoot at such higher res. Now you got to capture that stuff, you got to store it, you got to manage it. >> Lucas: And back it up. >> And back it up. >> And because, it's digital right? It's ones and zeros and once those are gone, they're gone forever. So my typical strategy is to have everything in three places. It's kind of the rule. Two, usually in the office. We have a primary copy and then a copy that doesn't ever go anywhere. And then we also have one off-site, so in the unexpected event of a fire, flood, tornado, or getting robbed or something like that, you still have those assets at home. >> Right, right. So I assume that's how you got involved with G-Technology to begin with. >> Yeah, it really started with when I was younger I had an unfortunate incident where brand X had a failure and I went out and found these G-DRIVE minis, which are amazing. I buy three of them per trip. And I reached out to them and sort of told them the story and they had this team that they were putting together and I was fortunate enough to be asked to be a part of that team. >> Okay so what's the mission of the team. What is a GTeam ambassador? >> The GTeam ambassadors are basically, they pick people in different disciplines whether you're a wedding photographer, or a filmmaker, and they basically pick people that are hopefully the best at what they do. Because as a photographer and a filmmaker, I'm out in the public a lot and people ask me, "What kind of camera should I buy? What kind of hard drive should I buy?" So our mission is to go out and educate people on not only the products we that use in our workflow that we rely on for our livelihood, but to really educate people and say, "Hey, you know I know you may never be shooting the Tour de France or going to Iceland and shooting expedition but this is how you could back up your images from your wedding or your kid's soccer game or something like that." >> Jeff: Right, right. >> So sort of an educational role as well as hopefully a little bit of inspiration as well. >> Right. And when it comes down to it, you mention that you used another product that failed you. That's like the old days and you forget to save your Word document, right? It only happens once. >> Lucas: Exactly. It happens once. (laughing) >> It's a very painful experience. >> Right, right. So I mean, is it just reliability? Is there something else in these G-DRIVEs that you like? Obviously reliability is A number one but is there more to it than that? >> Totally. So I was really drawn to the G-Technology because they're really the only ones, or were the only ones, that were putting enterprise class hard drives into enclosures. And people say, well what's the difference? And to me, you're getting a professional product. It's something that's going to last longer. It's meant to be put in an enclosure, in a RAID array. Because like I said, everything needs to be backed up and once it's gone, it's gone. And face it, there's a lot of people that want to be photographers these days. And filmmakers. And I can't go to a client and say "Oh it didn't work out." You know? (laughing) There's no take two. No second chance, you know so. So I really, it is the backbone of my business. Whether you're a restaurant or a photographer, you are providing a product or a service, and if it doesn't work out for somebody, they're not going to come back. >> Right. And it is so easy to go to the alternative. Now what about about Cloud? Is Cloud part of your workflow? >> It is. I'm getting more and more into it. I'm using different resources. But I don't rely on the Cloud as my primary backup. It's a way that's convenient for me to get images to clients or video clips or finished products because then I'm not shipping a drive across the country via FedEx or whatever. So it's another tool in the arsenal. I don't rely on it exclusively, but I feel like it is an important and powerful tool to be able to distribute assets and at the end of the day, make it more convenient for everybody involved. >> So what did you say, 24 terabytes in Iceland. >> 24 terabytes. >> What was the coolest part of that trip? >> Ice caves. >> Ice caves. >> We went into these caves that literally have streams coming out them that the ice they were saying is like 10,000 years old. And you're like the first person to touch this ice. It's really, really crazy. >> And how many people on that shoot? >> We had 6 people. So we had a professional athlete, a surfer. I typically shoot adventure sports and travel. So we brought a professional surfer, we had a MOBI operator, a camera operator, and a grip, - [Jeff] Right. >> an assistant to help out. >> I'm just curious your point of view, right. Even in commercials and advertisements and stuff, still a story narrative, right? It's got to be part of the equation. It's what pulls everything together. >> Story is king, and the second part of that is the quality of the production has to be there. Whether it's the video quality, the content, and/or the sound, all those things are integral keys to being successful. >> So do you find... I just, you know, there's so many toys here. It's like toy heaven for production people. Is it easy to get distracted from the storytelling because of all the toys? How do you begin to integrate and experiment with drones, whether it's your footage, or some of these other tools, and yet kind of stay true to a beautiful narrative that someone's going to be interested in consuming. >> Well it goes back to that thing we were all taught. KISS, right? Keep it simple, stupid. We use drones. We shoot in the water. We use all these tools. But the minute that that tool becomes so heavy that it takes away from being able to tell that story, that's when we've got to be careful because you can get sucked into trying to do a steadicam shot or a MOBI shot all day and all of a sudden you've wasted a whole day if something's not working. So you got to be consistent about what the vision is and your storyboard is because, yeah. Walking around the halls here there's a helicopter you can ride in now all of a sudden. It's like a mini drone. And, I do feel like a kid in a candy store. But you need to make sure that you're not getting so focused on the technology that you're not focusing on that storyline. Because that's really what clients will come back for. It's because as a creative, anybody can go out and automate things and make drone shots and this and that, but it's that story that really ties it all together. >> Right. And I think it's just really interesting how your photography background, more freely into multimedia, right? Which includes video and all the permutations that there are. I saw a cool thing where I guess you can unwrap the 360s so now you get this new kind of artistic, kind of ball impression. So the options are so huge for you right now. >> Yeah, it's really, the sky's the limit. As a professional, I need to make sure that I'm staying up with technology because really the technology is so accessible now from people taking images with their cameras and/or videos. I need to make sure that I'm setting myself apart from that demographic by doing something as a professional that is something that they can't offer. >> Right alright, I'll let you get a plug in so we can go in and see the Iceland footage. Where should people go to take a look at some of your work? >> So they should go to gtechnology.com. There'll be that Iceland. And they'll also be some workflow involved in that video so the people might actually learn something about what they might do to back up their images and/or videos. >> Alright Lucas, well hopefully maybe you got an extra room for a gofer or something on your next trip. And I can come help schlep pumpkins for you. Alright. Lucas Gilman, thanks for stopping by. >> Thanks for having me. >> He's Lucas Gilman and I'm Jeff Frick. You're watching theCUBE. We're talking about G-Tech and really cool movie making, media making. It's all about media and technology here at the NAB 2017. Thanks for watching. (techno music)

>> live from Boston, Massachusetts. It's the you covering your red hat some twenty nineteen brought to you by bread hat. >> Welcome back to our continuing live coverage here, read. Had summat. Twenty nineteen. You're watching Cube. I'm John Wallis along with stewed minimum. Nice to have you here with us as we head toward the homestretch. Day three of our three days of coverage here on the Q. We're now joined by a couple of guys who they put on their traveling shoes to get here, both hailing from Sydney, Australia. Gilman, pull a Matisse who's a senior innovation lead at Optimise and Vasily Check Culkin, who's a principal software architect, also adopted, which is the second largest mobile phone service provider in Australia. Gentlemen, thanks for being with us. Thanks, fiving. It's a long way to come, right? >> Yes, it is, but it's very worst trip. >> Excellent. Well, you're both on the keynote stage this morning. We'LL talk about that in just a little bit for folks who might not be familiar with obvious once you tell us a little bit about your footprint in Australia and what brings you here to talk about red hat and open >> shift well as you mentioned the obvious is a leading telco in Australia way are lucky that we own our infrastructure, which makes it a fantastic place As software engineers or infrastructure engineers working a CZ, we can develop new products and new solutions or innovate. It was in this network. Um all roles for the city and I adopted is essentially to identify new opportunities to innovate within our networks. We use our core I sets to innovate, but not on ly Just do this research and development also execute on this way. Call this a bit of an applied innovation where a ninety we would work really hard in in taking it, Teo to realise come but live writing on Colossus. >> So we're having a lot of stories with customers about transformation and telecommunications is one that's fascinating to look at because, you know, you work on software, you know, when I think back to tell Comet was, you know, fiber and towers and you know, physical implementation. But, you know, software, such a large part of what's going on. You tell us some of the changes going on and you know what's impacting your role in Annapolis? >> Uh, it's it's impacting all. Tell CAS actually, but yes, kill Cosa Switching from this old mine set off just fathers just hours. And this is Dan movements and five hundred Carmen, which is driving a lot of changes. People start thinking about social network functions and how we can dip alone on edge. How we can help our customers and developers to collaborate on next features how we can leverage although technologists and a state we have. >> I think if you think of software defined network and they moved to naturalization, you can now think of this. Australia is a big country that so you can not think of this entire infrastructure is being virtualized and could be made available for Also use a CZ well, so it's really changing that sense that it's not closed anymore and you can open to new cases. >> You know, you bring up it. Just a point about the pure geography of Australia. Huge country. Twenty five million people. No way would jealous here in the States, you had twenty five just, you know, in the Boston New York area. Probably I would think somewhere around there, but house that factor and just in terms of your operations in general that you do have nine million subscribers spread out over so much geography on dure trying to deliver the state of the art circuit service. Just, >> I said I couldn't take this one. So in terms of distance that there is an important impact. But what Today we were talking about phone calls. Video is essentially managing infrastructure, and you know, it's such a large country as its challenges. But it's something we're getting very good at a CZ. We pushing very hard to be present in regional Australia so you can sink of this beautiful landscape in getting five of there being a challenge, but with challenges that they did. The luck that comes with this is that we get to a parade, a scaled network, maybe not with the scale of subscribers that you have in any US, but we're the same challenges. So when it comes to innovation way, get the opportunities to way find you. >> So in the keynote, there was a lot of residents in the audience when you, you know, talked about breaking the language barrier. Maybe, you know, go in share with our audience here, just a tidbit as to what you were talking about. How that works from a technology standpoint. Roll >> out from technology. A point off you telephone you're stuck is it's complex thing. And if you want to integrate directly this telephone system directly with a phone call, it's our job. Okay, I did it. It's tough we did it. I'm never getting so. And the software developers what we tend to do when the get some complex things to solve. We obstructed away, and for us it was off the solution. We need to obstruct away all this complex ing all complex signaling nadiya handling and a very simple way off getting additional voice services within phone call. It's additional challenges like distance, and you can't just kind of older in the cloud because we need to be close to the customer. Otherwise, it will be very, very but quality. Always what and yeah, and it's opens availability toe innovate further, we can bring more services, not only voice, translation and transcription, but just think about it. You got your voice. We can help you. We can like new exciting services on plain old. >> So we had translate today and that we were here to talk about the technology may also the culture changed around. If on network becomes more open. And if we have these opportunities to live rage this network to try to build new products on DH, there are plenty of products that way. Also working on that are based on this idea that waken build products like people build APS to build a napkin, a smartphone or you need this environment way can expose the network in the same digital environment on DH. Translation is very interesting because it's emotional. If you think of communication, language can be a barrier. The a. D that we digitize the phone call and that we can then let build products or or engineer products that break barriers is very exciting. And so this is where we pick the specific use case for for the keynote today, Aziz, you mentioned before it has a emotional showing it, >> but there was if I got it right and police correct me if I didn't, um, you were engaged in a real time phone call right now and then if we pretended that one of you spoke one language, one of you spoke another. There was an immediate translation from English to French, French to English. And the call was being transcribed in real time as well. So it could be used another medium, right? I want to use it in, you know, e mails or other communications text, whatever. So you were stockpiling all this capability right in through the transcription, but doing real time voice translation. >> Take the venue, We idea. So things like translation is something that Microsoft, for example, does really well and many club companies to really well, the value we add is to move from having an adult translation request conditions like this to Russian, to integrating this in in one of the most natural communication channel, which is person to person. Phone call is a perfect place to start, because if there is one place where you're going to a language barrier as phone calls global, you can call anywhere in the world. This's pretty exciting environment. >> Oh, I thought so. I mean, >> you know, it's fascinating to think kind of history of telecommunications. It's well, you know, every country has their own, you know, system. But there needs to be that interconnection so that you know, today I don't think about whether you know I'm calling across the street across the country or across the globe. It takes care of that boy. If I could just plug into some of the available services on INDU translation, you know, right you're goingto bring Bring the world a little bit closer together. >> And the phone. Nichole's of Quintus, You don't sign up to brand, so you do sign up to a telescope. But this is regardless of your device. You can establish a phone call on used the services. I >> know some teenagers I'd like to have their conversations translated for May. Really helpful. >> You can build it a cz. Well, >> can you do work on that? Good. I'll have to think about it. What about five g And what is that doing for you? Just from a purely technical standpoint, the opportunities that you see coming with that I know rollouts. Probably still year or twenty four months away from taking place. I don't know what the Australia rollout is compared to the U. S. But in terms of what that speed is going to do for you, what kinds of possibilities you think the ceiling exist? I >> must after very developed. I'm thinking, like from Pew Software Development Point of view. Excuse me. Perfect opportunity to be connect customers with developers on an edge on a on your network. Andi, it's all the world later NCIS and bend with and you can do fascinating thing on edge ofthe network I raise that sings real time Rachael here at the open to reality five g will enable it and we'LL keep thiss development and improve speed off this stuff. And I'm looking forward to have all of this available not only for me as I'm looking for Loker, I don't want it close the opening network we're opening Tell Kal Toh the cool world off wonderful software development and it's fascinating >> The Savages. Also, if you think of five, you gotta think about momentum. There is this momentum that we have now to improve our networks, and it's not entirely just five g. We've got network function visualizations. We've got Coyote, and that momentum is very interesting because as we improve our network, it becomes more digital and especially mentioned as it becomes more digital. It's more open and enables new opportunities for enterprise customers off for startups to innovate in this environment. >> Okay, so my understanding from what you talked about and, you know, this is built on open shift, you know, what's the importance? You know, why Open shift and what is that enable for your business and ultimately your customers? >> This is actually something way quite proud off. When we started this journey in this software engineering space, it's inclined narrative. It's only natural to build functions in containers, but there was There was effectively that gap between building new applications in the current state of a network that has a a very different approach of operation. So, communities, where's the right tool for us? But when you operate a carrier network, you need strong support and you need Teo. You need to have a very firm Acela's because you don't drop phone calls. This is very important minute communication, and this is where we had a fantastic relationship is really to find a way to operationalize thiss deployment. >> Ricardo wasn't only like operating this thing way worked hand in hand last few years, they've helped a lot this designing systems like best practices. We learned a lot off each other and it was fantastic journey way really enjoyed working on this. It's extremely professional team, >> No, in from a timing perspective Oh, our journey came together a same time, as read it started seeing telcos has being where the next big thing or the next something to very much start focusing on. >> So so what's your next big thing? We're talking about five G and what that's going to open up, and we've read a lot about it here in the States. But from your perspective, you know what? What is that going to enable? What kind of services? Because for G's already, you know, blowing everybody's mind in some respects, right with the data capabilities there imaging transactions, those kinds of things, but five g your thought, I think, >> previews. Innovation cycles things three G for G Always came, came in with a pre pre baked benefits, often speeds with five minutes a little. My opinion is a little bit different. What's happening? What we're doing is is an example of this is in a V that you have a new environment and important environment where new things can happen and so you're going to see this as Oppen versus closed what it means is that the next big thing is not necessarily five year. And Evie. Next big thing is what software developers will make of this environment. And that might be a start up. Or they could be enterprised could bring you cooperate, right? And we are very much very much open to start conversation with anyone that would like to make use of this. He's >> got the next big thing. That was God the next big thing yet, Right, gentlemen, thank you for making the long trip. I know not just to see us, but we do appreciate your carving out some time for us. Good job this morning. And, uh, good luck down the road. >> Thank you for having us. >> Thank you. Thank you. Back with more live from Boston. You're watching the Cuban. You're watching coverage from Red Hat Summit twenty nineteen