Nicole Johnson, Head of Social Impact & Sustainability | The Path To Sustainable IT
>>Hi everyone. Welcome to this special event, pure Storage, the Path to Sustainable it. I'm your host, Lisa Martin. Very pleased to be joined by Nicole Johnson, the head of Social Impact and Sustainability at Pure Storage. Nicole, welcome to the >>Cube. Thanks for having me, Lisa. >>Sustainability is such an important topic to talk about, and I understand that Pure just announced a report today about sustainability. What can you tell me what nuggets are in this report? >>Well, actually quite a few really interesting nuggets, at least for us. And I, I think probably for you and your viewers as well. So we actually commissioned about a thousand sustainability leaders across the globe to understand, you know, what are their sustainability goals, what are they working on, and what are the impacts of buying decisions, particularly around infrastructure when it comes to sustainable goals. I think one of the things that was really interesting for us was the fact that around the world we did not see a significant variation in terms of sustainability being a top priority. You've, I'm sure you've heard about the energy crisis that's happening across Europe. And so, you know, there was some thought that perhaps that might play into AMEA being a larger, you know, having sustainability goals that were more significant. But we actually did not find that we found sustainability to be really important no matter where the respondents were located. >>So, very interesting at pure sustainability is really at the heart of what we do and has been since our founding. It's interesting because we set out to make storage really simple, but it turns out really simple, is also really sustainable and the products and services that we bring to our customers have really powerful outcomes when it comes to decreasing their, their own carbon footprints. And so, you know, we often hear from customers that we've actually really helped them to significantly improve their storage performance, but also allow them to save on space power and cooling costs and, and their footprint. So really significant findings. One example of that is a company called Cengage, which is a global education technology company. They recently shared with us that they have actually been able to reduce their overall storage footprint by 80% while doubling to tripling the performance of their storage systems. So it's really critical for, for companies who are thinking about their sustainability goals, to consider the dynamic between their sustainability program and their IT teams who are making these buying decisions. >>Right? Those two teams need to be really inextricably linked these days. You talked about the fact that there was really consistency across the regions in terms of sustainability being of high priority for organizations. You had a great customer story that you shared that showed significant impact can be made there by bringing the sustainability both together with it. But I'm wondering why are we seeing that so much of the vendor selection process still isn't revolving around sustainability or it's overlooked? What are some of the things that you see despite so many people saying sustainability huge priority? >>Well, in this survey, the most commonly cited challenge was really around the fact that there was a lack of management buy-in. 40% of respondents told us this was the top roadblock. So getting, I think getting that out of the way. And then we also just heard that sustainability teams were not brought into tech purchasing processes until after it's already rolling, right? So they're not even looped in. And that, that being said, you know, we know that it has been identified as one of the key departments to supporting a company's sustainability goals. So we, we really want to ensure that these two teams are talking more to each other. When we look even closer at the data from the respondents, we see some really positive correlations. We see that 65% of respondents reported that they're on track to meet their sustainability goals, and that it, of those 65%, it is significantly engaged with reporting data for those sustainability initiatives. We saw that, that for those who did report, the sustainability is a top priority for vendor selection. They were twice as likely to be on track with their goals and their sustainability directors said that they were getting involved at the beginning of the tech purchasing program. Our process, I'm sorry, rather than towards the end. And so, you know, we know that to curb the impact of climate crisis, we really need to embrace sustainability from a cross-functional viewpoint. >>Definitely has to be cross-functional. So, so strong correlations there in the report that organizations that had closer alignment between the sustainability folks and the IT folks were farther along in their sustainability program development, execution, et cetera, those CO was correlations, were they a surprise? >>Not entirely. You know, when we look at some of the statistics that come from the, you know, places like the World Economic Forum, they say that digitization generated 4% of greenhouse gas emissions in 2020. So, and that, you know, that's now almost three years ago, digital data only accelerates and by 2025, we expect that number could be almost double. And so we know that that communication and that correlation is gonna be really important because data centers are taking up such a huge footprint of when companies are looking at their emissions. And it's, I mean, quite frankly, a really interesting opportunity for it to be a trailblazer in the sustainability journey. And, you know, perhaps people that are in IT haven't thought about how they can make an impact in this area, but there really is some incredible ways to help us work on cutting carbon emissions, both from your company's perspective and from the world's perspective, right? >>Like we are, we're all doing this because it's something that we know we have to do to drive down climate change. So I think when you, when you think about how to be a trailblazer, how to do things differently, how to differentiate your own department, it's a really interesting connection that IT and sustainability work together. I would also say, you know, I'll just note that of the respondents to the survey we were discussing, we do over half of those respondents expect to see closer alignment between the organization's IT and sustainability teams as they move forward. >>And that's really a tip the, to those organizations embracing cultural change. That's always hard to do, but for those two, for sustainability and IT to come together as part of really the overall ethos of an organization, that's huge. And it's great to see the data demonstrating that, that those, that alignment, that close alignment is really on its way to helping organizations across industries make a big impact. And wanna dig in a little bit to peers, ESG goals. What can you share with us about >>That? Absolutely. So as I mentioned, peers kind of at the beginning of our formal ESG journey, but really has been working on the, on the sustainability front for a long time. I would, I, it's funny as we're, as we're doing a lot of this work and, and kind of building our own profile around this, we're coming back to some of the things that we have done in the past that consumers weren't necessarily interested in then, but are now because the world has changed, becoming more and more invested in. So that's exciting. So we did a baseline scope one, two, and three analysis and discovered, interestingly enough that 70% of our emissions comes from use of sold products. So our customers work running our products in their data centers. So we know that we, we've made some ambitious goals around our Scope one and two emissions, which is our own office, our utilities, you know, those, they only account for 6% of our emissions. So we know that to really address the issue of climate change, we need to work on the use of sold products. So we've also made a, a really ambitious commitment to decrease our carbon emissions by 66% per bed per petabyte by 2030 in our products. So decreasing our own carbon footprint, but also affecting our customers as well. And we've also committed to a science based target initiative and our road mapping how to achieve the ambitious goals set out in the Paris agreement. >>That's fantastic. It sounds like you really dialed in on where is the biggest opportunity for us as peer storage to make the biggest impact across our organization, across our customers' organizations. There lofty goals that pure set, but knowing what I know about Pure, you guys are probably well on track to, to accomplish those goals in record time. >>I hope So. >>Talk a little bit about advice that you would give to viewers who might be at the very beginning of their sustainability journey and really wondering what are the core elements besides it, sustainability, team alignment that I need to bring into this program to make it actually successful? >>Yeah, so I think, you know, understanding that you don't have to pick between really powerful technology and sustainable technology. There are opportunities to get both and not just in storage, right in, in your entire IT port portfolio. We know that, you know, we're in a place in the world where we have to look at things from the bigger picture. We have to solve new challenges and we have to approach business a little bit differently. So adopting solutions and services that are environmentally efficient can actually help to scale and deliver more effective and efficient IT solutions over time. So I think that that's something that we need to, to really remind ourselves, right? We have to go about business a little bit differently and that's okay. We also know that data centers utilize an incredible amount of, of energy and, and carbon. And so everything that we can do to drive that down is going to address the sustainability goals for us individually as well as, again, drive down that climate change. So we, we need to get out of the mindset that data centers are, are about reliability, your cost, et cetera. And really think about efficiency and carbon footprint when you're making those business decisions. I'll also say that, you know, the earlier that we can get sustainability teams into the conversation, the more impactful your business decisions are going to be and helping you to guide sustainable decision making. >>So shifting sustainability and it left almost together really shows that the correlation between those folks getting together in the beginning with intention, the report shows and the successes that peers had, demonstrate that that's very impactful for organizations to actually be able to implement even the cultural change that's needed for sustainability programs to be successful. My last question for you goes back to that report. You mentioned in there that the data show a lot of organizations are hampered by management buy-in, where sustainability is concerned. How can pure help its customers navigate around those barriers so that they get that management buy and they understand that the value in it for >>Them? Yeah, so I mean, I think that for me, my advice is always to speak to hearts and minds, right? And help the management to understand, first of all, the impact right on climate change. So I think that's the kind of hearts piece on the mind piece. I think it's addressing the sustainability goals that these companies have set for themselves and helping management understand how to, you know, how their IT buying decisions can actually really help them to reach these goals. We also, you know, we always run kind of TCOs for customers to understand what is the actual cost of, of the equipment. And so, you know, especially if you're in a, in a location in which energy costs are rising, I mean, I think we're seeing that around the world right now with inflation. Better understanding your energy costs can really help your management to understand the, again, the bigger picture and what that total cost is gonna be. Often we see, you know, that maybe the, the person who's buying the IT equipment isn't the same person who's purchasing, who's paying the, the electricity bills, right? And so sometimes even those two teams aren't talking. And there's a great opportunity there, I think, to just to just, you know, look at it from a more high level lens to better understand what total cost of ownership is. >>That's a great point. Great advice. Nicole. Thank you so much for joining me on the program today, talking about the new report that on sustainability that Pure put out some really compelling nuggets in there, but really also some great successes that you've already achieved internally on your own ESG goals and what you're helping customers to achieve in terms of driving down their carbon footprint and emissions. We so appreciate your insights and your thoughts. >>Thank you, Lisa. It's been great speaking with you. >>Pleasure speaking with you as well. We wanna thank you so much for watching. This is Pure Storage, the path to sustainable it. I'm Lisa Martin, we'll see you next time.
SUMMARY :
Very pleased to be joined by Nicole Johnson, the head of Social What can you tell me what nuggets are in this report? And so, you know, there was some thought that perhaps that might play into AMEA And so, you know, we often hear from customers that What are some of the things that you see despite so many people saying sustainability And so, you know, we know that to curb the that had closer alignment between the sustainability folks and the IT folks were farther along So, and that, you know, that's now almost three years ago, digital data only you know, I'll just note that of the respondents to the And it's great to see the data demonstrating that, our Scope one and two emissions, which is our own office, our utilities, you know, those, but knowing what I know about Pure, you guys are probably well on track to, to accomplish those goals And so everything that we can do to actually be able to implement even the cultural change that's needed for sustainability programs to I think, to just to just, you know, look at it from a more high level lens to Thank you so much for joining me on the program today, This is Pure Storage, the path to sustainable
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Amit Zavery, VP GM and Head of Platform, Google Cloud
>> Welcome back to Cube On Cloud. My name is Paul Gillin, enterprise editor at SiliconANGLE, and I'm pleased to now have as a guest on the show. Amit Zephyr, excuse me, general manager, vice president of business application platform at Google cloud. Amit is a formerly EVP and corporate officer for product development at Oracle cloud, 24 years at Oracle, and by my account a veteran of seven previous appearances on theCube. Amit welcome, thanks for joining us. >> Thanks for having me Paul, it's always good to be back on theCube. >> Now you are... one of your big focus areas right now is on low-code and no-code. Of course this is a market that seems to be growing explosively. We often hear low code/no code used in the same breath as if they're the same thing. In fact, how are they different? >> I think it's a huge difference, now. I think industry started as local mode for many, many years. I mean, there were technologies, or tools provided for kind of helping developers be more productive that's what low-code was doing. It was not really meant, even though it was positioned for citizen developers it was very hard for a non technologist to really build application using low code. No-code is really meant as the word stands, no code. So there's really no coding, there's no understanding required about the underlying technology stack, or knowing how constructs works or how the data is laid out. All that stuff is kind of hidden and abstracted out from you. You are really focused as a citizen developer or a line of business user, in kind of delivering what your business application requirements are, and the business flows are, without having to know anything about writing any code. So you can build applications, you can build your interfaces and not have to learn anything about a single line of code. So that's really no-code and I think they getting to a phase now where the platforms have gotten much stronger and better where you can do very good productive applications without having to write a single line of code. So that's really the goal with no-code, and that's really the future in terms of how we will get more and more line of business users, or citizen developers to build applications they need for their day-to-day work. >> So when would you use one or the other? >> I think since low-code you would probably any developer has been around for eight, 10 years, if not longer where you extract out some of this stuff you can do some of the things in terms of not having to write some code where you have a lot of modules pre-built for you, and then when you want to mix a lot of changes, you go and drop into an ID and write some code or make some changes to a code. So you still get into that, and those are really focused towards semi-professional developers or IT in many cases or even developers who want to reduce the time required to start from, write and building an application. so it makes you much more productive. So if you are a really some semi-professional or you are a developer, you can either use use low-code to improve your productivity and not start from scratch. No-code is really used for folks who are really not interested in learning about coding, don't have any experience in it, and still want to be productive and build applications. And that's really when I would start with.. I would not give a low code to a citizen developer or a line of business user who has no experience with any coding. And that's not really.. It will only productive, They'll get frustrated and not deliver what you need, and not get anything out of it and many cases. >> Well, I've been around this industry long enough to remember fourth-generation languages and visual basic >> Yeah and the predecessors that never really caught on in a big way. I mean, they certainly had big audiences but, right now we're seeing 40, 50% annual market growth. Why is this market suddenly so hot? >> Yeah it's not a difference. I think that as you said, the 4G deal and I think a lot of those tools, even if you look at forms, and PLC and we kind of extracted out the technology and made it easier, but it was not very clear who they were targeting with that. They're still targeting the same developer audience. So the they never expanded the universe of users. It was same user base, just making it simpler for them. So, with those low-code tools, it never landed them getting more and more user base out of that. With no-code platforms, you are now expanding the user community. You are giving this capabilities to more and more users than a low-code tools could provide. That's why I think the growth is much faster. So if you find the right no-code platform, you will see a lot more adoption because you're solving a real problem, you are giving them a lot more capabilities and making the user productive without having to depend on IT in many cases, or having to wait for a lot of those big applications to be built for them even though they need it immediately. So I think that's why I think you're solving a real business problem and giving a lot more capabilities to users and no doubt the users love it and they start expanding the usage. It's very viral adoption in many cases after that. >> Historically the rap on these tools has been that, because they're typically interpreted, the performance is never going to be up to that of application written in C plus plus or something. Is that still the case? Is that a sort of structural weakness of no-code tools or is that changing? >> I think the early days probably not any more. I think if you look at what we are doing at Google Cloud for example, it's not interpreted, I mean, it does do a lot of heavy lifting underneath the covers, but, and you don't have to go into the coding part of it but it brings the whole Cloud platform with it, right? So the scalability, the security the performance, availability all that stuff is built into the platform. So it's not a tool, it's a platform. I think that's thing, the big difference. Most of the early days you will see a lot of these things as a tool, which you can use it, and there's nothing underneath the covers the run kinds are very weak, there's really not the full Cloud platform provided with it, but I think the way we seeing it now and over the last many years, what we have done and what we continue to do, is to bring the power of the Cloud platform with it. So you're not missing out on the scalability, the performance, security, even the compliance and governance is built in. So IT is part of the process even though they might not build an application themselves. And that's where I think the barriers have been lifted. And again, it's not a solution for everything also. I'm not saying that this would go in, if you want to build a full end to end e-commerce site for example, I would not use a no-code platform for it, because you're going to do a lot more heavy lifting, you might want to integrate with a lot of custom stuff, you might build a custom experience. All that kind of stuff might not be that doable, but there are a lot of use cases now, which you can deliver with a platform like what we've been building at Google cloud. >> So, talk about what you're doing at Google cloud. Do you have a play in both the low-code and the no-code market? Do you favor one over the other? >> Yeah no I think we've employed technologies and services across the gamut of different requirements, right? I mean, our goal is not that we will only address one market needs and we'll ignore the rest of the things required for our developer community. So as you know, Google cloud has been very focused for many years delivering capabilities for developer community. With technology we deliver the Kubernetes and containers tend to flow for AI, compute storage all that kind of stuff is really developer centric. We have a lot of developers build applications on it writing code. They have abstracted some of this stuff and provide a lot of low-code technologies like Firebase for building mobile apps, the millions of apps mobile apps built by developers using Firebase today that it does abstract out the technology. And then you don't have to do a lot of heavy lifting yourself. So we do provide a lot of low-code tooling as well. And now, as we see the need for no-code especially kind of empowering the line of business user and citizen developers, we acquired a company called AppSheet, early 2020, and integrated that as part of our Google Cloud Platform as well as the workspace. So the G suite, the Gmail, all the technology all the services we provide for productivity and collaboration. And allowed users to now extend that collaboration capabilities by adding a workflow, and adding another app experience as needed for a particular business user needs. So that's how we looking at it like making sure that we can deliver a platform for spectrum of different use cases. And get that flexibility for the end user in terms of whatever they need to do, we should be able to provide as part of a Google Cloud Platform now. >> So as far as Google Cloud's positioning, I mean you're number three in the market you're growing but not really changing the distance between you and Microsoft for what public information we've been able to see in AWS. In Microsoft you have a company that has a long history with developers and of development tools and really as is that as a core strength do you see your low-code/no-code strategy as being a way to make up ground on them? >> Yeah, I think that the way to look at the market, and again I know the industry analyst and the market loves to do rankings in this world but, I think the Cloud business is probably big enough for a lot of vendors. I mean, this is growing as the amazing pace as you know. And it is becoming, it's a large investment. It takes time for a lot of the vendors to deliver everything they need to. But today, if you look at a lot of the net new growth and lot of net new customers, we seeing a huge percentage of share coming to Google Cloud, right? And we continue to announce some of the public things and the results will come out again every quarter. And we tried to break out the Cloud segment in the Google results more regularly so that people get an idea of how well they're doing in the Cloud business. So we are very comfortable where we are in terms of our growth in terms of our adoption, as well as in terms of how we delivering all the value our customers require, right? So, note out one of the parts we want to do is make sure that we have a end to end offering for all of the different use cases customers require and no-code is one of the parts we want to deliver for our customers as well. We've done very good capabilities and our data analytics. We do a lot of work around AIML, industry solutions. You look at the adoption we've had around a lot of those platform and Hybrid and MultiCloud. It's been growing very, very fast. And this one more additional things we are going to do, so that we can deliver what our customers are asking for. We're not too worried about the rankings we are worried about really making sure we're delivering the value to our customers. And we're seeing that it doesn't end very well. And if you look at the numbers now, I mean the growth rate is higher than any other Cloud vendor as well as be seeing a huge amount of demand been on Google Cloud as well. >> Well, not to belabor the point, but naturally your growth rate is going to be higher if you're a third of the market, I mean, how important is it to you to break into, to surpass the number two? How important are rankings within the Google Cloud team, or are you focused mainly more on growth and just consistency? >> No, I don't think again, I'm not worried about... we are not focused on ranking, or any of that stuff typically, I think we were worried about making sure customers are satisfied, and the adding more and more customers. So if you look at the volume of customers we're signing up, a lot of the large deals they didn't... do we need to look at the announcement we'd made over the last year, has been tremendous momentum around that. Lot of large banks, lot of large telecommunication companies large enterprises, name them. I think all of them are starting to kind of pick up Google Cloud. So if you follow that, I think that's really what is satisfying for us. And the results are starting to show that growth and the momentum. So we can't cover the gap we had in the previous... Because Google Cloud started late in this market. So if Cloud business grows by accumulating revenue over many years. So I cant look at the history, I'm looking at the future really. And if you look at the growth for the new business and the percentage of the net new business, we're doing better than pretty much any other vendor out there. >> And you said you were stepping up your reference to disclose those numbers. Was that what I heard you say? >> I think every quarter you're seeing that, I think we started announcing our revenue and growth numbers, and we started to do a lot of reporting about our Cloud business and that you will start, you see more and more and more of that regularly from Google now. >> Let's get back just briefly to the low-code/no-code discussion. A lot of companies looking at how to roll this out right now. You've got some big governance issues involved here. If you have a lot of citizen developers you also have the potential for chaos. What advice are you giving customers using your tools for how they should organize around citizen development? >> Yeah, no, I think no doubt. If this needs to be adopted by enterprise you can't make it a completely rogue or a completely shadow based development capabilities. So part of our no-code platform, one thing you want to make sure that this is enterprise ready, it has many aspects required for that. One is compliance making sure you have all the regulatory things delivered for data, privacy, security. Second is governance. A lot of the IT departments want to make sure who's using this platform? How are they accessing it? Are they getting the right security privileges associated with that? Are we giving them the right permissions? So in our a no-code platform we adding all this compliance, and governance regulatory stuff as part of our underlying platform, even though the end user might not have to worry about it the person who's building applications shouldn't have to think about it, but we do want to give controls to IT as needed by the large enterprises. So that is a big part of how we deliver this. We're not thinking about this as like go and build it, and then we write it once you have to do things for your enterprise, and then get it to do it again and again. Because then it just a waste of time and you're not getting the benefit of the platform at all. So we bringing those things together where we have a very easy to use, very powerful no-code platform with the enterprise compliance as well as governance built into that platform as well. And that is really resonating. If you look at a lot of the customers we're working with they do require that and they get excited about it as well as the democratizing of all of their line of business users. They're very happy that they're getting that kind of a platform, which they can scale from and deliver the productivity required. >> Certainly going to make businesses look very different in the future. And speaking of futures, It is January it's time to do predictions. What are your predictions (laughs) for the Cloud for this year? >> No I think that I mean no doubt cloud has become the center for pretty much every company now, I think the digital transformation especially with COVID, has greatly accelerated. We have seen many customers now who are thinking of pieces of their platform, pieces of their workflow or business to be digitized. Now that's trying to do it for all of it. So the one part which we see for this year is the need for more and more of efficiency in the industry are verticalized business workflows. It's not just about providing a plain vanilla Cloud Platform but also providing a lot more content and business details and business workflows by industry segments. So we've been doing a lot of work and we expect a huge amount of that to be becoming more and more core part of our offering as well as what customers are asking for. Where you might need things around say know your customer kind of workflow for financial services, Telehealth for healthcare. I mean, every industry has specific things like demand management and demand forecasting for retail but making that as part of a Cloud service not just saying, hey, I have compute storage network. I have some kind of a platform go add it and go and build what you want for your industry needs, We want to provide them that all those kinds of business processes and content for those industries as well. So we identified six, seven, industries. We see that as a kind of the driving factor for our Cloud growth, as well as helping our customers be much more productive as well as seeing the value of Cloud being much more realistic for them versus just a replacement for the data center. I think that's really the big shift in 21 I think. And I think that will make a big difference for all the companies who are really trying to digitize and be in forefront of the needs as their customers require in the future. >> Of course all of this accelerated by the pandemic and all of the specialized needs that have emerged from that. >> And I think the bond, which is important as well, I think as you know, I mean, everybody talks about AIML as like a big thing. No doubt AIML is an important element of it, but if you make that usable and powerful through this kind of workflows and business processes, as well as particular business applications, I think you see a lot more interest in using it than just a plain manila framework or just technology for the technology sake. So we try to bring the power of AI and ML into this business and industry applications, where we have a lot of good technologists at Google who knows how to use all these things. You wanted to bring that into those applications and platforms >> Exciting times ahead. Amit Zavery thank you so much for joining us. You look just as comfortable as I would expect someone to be who is doing his eighth Cube interview. Thanks for joining us. >> (laughing) Thanks for having me, Paul. >> That's it for this segment of Cube On Cloud, I'm Paul Gillin, stay tuned. (soft music)
SUMMARY :
as a guest on the show. it's always good to be back on theCube. that seems to be growing explosively. and that's really the future and then when you want and the predecessors and making the user productive the performance is never going to be up to and over the last many years, and the no-code market? And get that flexibility for the end user the distance between you and Microsoft and the market loves to a lot of the large deals they didn't... Was that what I heard you say? and that you will start, you you also have the potential for chaos. and deliver the productivity required. (laughs) for the Cloud and be in forefront of the needs and all of the specialized needs I think as you know, I mean, Amit Zavery thank you That's it for this
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Breaking Analysis: Google's Antitrust Play Should be to get its Head out of its Ads
>> From the CUBE studios in Palo Alto in Boston, bringing you data-driven insights from the CUBE in ETR. This is breaking analysis with Dave Vellante. >> Earlier these week, the U S department of justice, along with attorneys general from 11 States filed a long expected antitrust lawsuit, accusing Google of being a monopoly gatekeeper for the internet. The suit draws on section two of the Sherman antitrust act, which makes it illegal to monopolize trade or commerce. Of course, Google is going to fight the lawsuit, but in our view, the company has to make bigger moves to diversify its business and the answer we think lies in the cloud and at the edge. Hello everyone. This is Dave Vellante and welcome to this week's Wiki Bond Cube insights powered by ETR. In this Breaking Analysis, we want to do two things. First we're going to review a little bit of history, according to Dave Vollante of the monopolistic power in the computer industry. And then next, we're going to look into the latest ETR data. And we're going to make the case that Google's response to the DOJ suit should be to double or triple its focus on cloud and edge computing, which we think is a multi-trillion dollar opportunity. So let's start by looking at the history of monopolies in technology. We start with IBM. In 1969 the U S government filed an antitrust lawsuit against Big Blue. At the height of its power. IBM generated about 50% of the revenue and two thirds of the profits for the entire computer industry, think about that. IBM has monopoly on a relative basis, far exceeded that of the virtual Wintel monopoly that defined the 1990s. IBM had 90% of the mainframe market and controlled the protocols to a highly vertically integrated mainframe stack, comprising semiconductors, operating systems, tools, and compatible peripherals like terminal storage and printers. Now the government's lawsuit dragged on for 13 years before it was withdrawn in 1982, IBM at one point had 200 lawyers on the case and it really took a toll on IBM and to placate the government during this time and someone after IBM made concessions such as allowing mainframe plug compatible competitors to access its code, limiting the bundling of application software in fear of more government pressure. Now the biggest mistake IBM made when it came out of antitrust was holding on to its mainframe past. And we saw this in the way it tried to recover from the mistake of handing its monopoly over to Microsoft and Intel. The virtual monopoly. What it did was you may not remember this, but it had OS/2 and Windows and it said to Microsoft, we'll keep OS/2 you take Windows. And the mistake IBM was making with sticking to the PC could be vertically integrated, like the main frame. Now let's fast forward to Microsoft. Microsoft monopoly power was earned in the 1980s and carried into the 1990s. And in 1998 the DOJ filed the lawsuit against Microsoft alleging that the company was illegally thwarting competition, which I argued at the time was the case. Now, ironically, this is the same year that Google was started in a garage. And I'll come back to that in a minute. Now, in the early days of the PC, Microsoft they were not a dominant player in desktop software, you had Lotus 1-2-3, WordPerfect. You had this company called Harvard Presentation Graphics. These were discreet products that competed very effectively in the market. Now in 1987, Microsoft paid $14 million for PowerPoint. And then in 1990 launched Office, which bundled Spreadsheets, Word Processing, and presentations into a single suite. And it was priced far more attractively than the some of the alternative point products. Now in 1995, Microsoft launched Internet Explorer, and began bundling its browser into windows for free. Windows had a 90% market share. Netscape was the browser leader and a high flying tech company at the time. And the company's management who pooed Microsoft bundling of IE saying, they really weren't concerned because they were moving up the stack into business software, now they later changed that position after realizing the damage that Microsoft bundling would do to its business, but it was too late. So in similar moves of ineptness, Lotus refuse to support Windows at its launch. And instead it wrote software to support the (indistinct). A mini computer that you probably have never even heard of. Novell was a leader in networking software at the time. Anyone remember NetWare. So they responded to Microsoft's move to bundle network services into its operating systems by going on a disastrous buying spree they acquired WordPerfect, Quattro Pro, which was a Spreadsheet and a Unix OS to try to compete with Microsoft, but Microsoft turned the volume and kill them. Now the difference between Microsoft and IBM is that Microsoft didn't build PC hardware rather it partnered with Intel to create a virtual monopoly and the similarities between IBM and Microsoft, however, were that it fought the DOJ hard, Okay, of course. But it made similar mistakes to IBM by hugging on to its PC software legacy. Until the company finally pivoted to the cloud under the leadership of Satya Nadella, that brings us to Google. Google has a 90% share of the internet search market. There's that magic number again. Now IBM couldn't argue that consumers weren't hurt by its tactics. Cause they were IBM was gouging mainframe customers because it could on pricing. Microsoft on the other hand could argue that consumers were actually benefiting from lower prices. Google attorneys are doing what often happens in these cases. First they're arguing that the government's case is deeply flawed. Second, they're saying the government's actions will cause higher prices because they'll have to raise prices on mobile software and hardware, Hmm. Sounds like a little bit of a threat. And of course, it's making the case that many of its services are free. Now what's different from Microsoft is Microsoft was bundling IE, that was a product which was largely considered to be crap, when it first came out, it was inferior. But because of the convenience, most users didn't bother switching. Google on the other hand has a far superior search engine and earned its rightful place at the top by having a far better product than Yahoo or Excite or Infoseek or even Alta Vista, they all wanted to build portals versus having a clean user experience with some non-intrusive of ads on the side. Hmm boy, is that part changed, regardless? What's similar in this case with, as in the case with Microsoft is the DOJ is arguing that Google and Apple are teaming up with each other to dominate the market and create a monopoly. Estimates are that Google pays Apple between eight and $11 billion annually to have its search engine embedded like a tick into Safari and Siri. That's about one third of Google's profits go into Apple. And it's obviously worth it because according to the government's lawsuit, Apple originated search accounts for 50% of Google search volume, that's incredible. Now, does the government have a case here? I don't know. I'm not qualified to give a firm opinion on this and I haven't done enough research yet, but I will say this, even in the case of IBM where the DOJ eventually dropped the lawsuit, if the U S government wants to get you, they usually take more than a pound of flesh, but the DOJ did not suggest any remedies. And the Sherman act is open to wide interpretation so we'll see. What I am suggesting is that Google should not hang too tightly on to it's search and advertising past. Yes, Google gives us amazing free services, but it has every incentive to appropriate our data. And there are innovators out there right now, trying to develop answers to that problem, where the use of blockchain and other technologies can give power back to us users. So if I'm arguing that Google shouldn't like the other great tech monopolies, hang its hat too tightly on the past, what should Google do? Well, the answer is obvious, isn't it? It's cloud and edge computing. Now let me first say that Google understandably promotes G Suite quite heavily as part of its cloud computing story, I get that. But it's time to move on and aggressively push into the areas that matters in cloud core infrastructure, database, machine intelligence containers and of course the edge. Not to say that Google isn't doing this, but there are areas of greatest growth potential that they should focus on. And the ETR data shows it. But let me start with one of our favorite graphics, which shows the breakdown of survey respondents used to derive net score. Net score remembers ETR's quarterly measurement of spending velocity. And here we show the breakdown for Google cloud. The lime green is new adoptions. The forest green is the percentage of customers increasing spending more than 5%. The gray is flat and the pinkish is decreased by 6% or more. And the bright red is we're replacing or swapping out the platform. You subtract the reds from the greens and you get a net score at 43%, which is not off the charts, but it's pretty good. And compares quite favorably to most companies, but not so favorite with AWS, which is at 51% and Microsoft which is at 49%, both AWS and Microsoft red scores are in the single digits. Whereas Google's is at 10%, look all three are down since January, thanks to COVID, but AWS and Microsoft are much larger than Google. And we'd like to see stronger across the board scores from Google. But there's good news in the numbers for Google. Take a look at this chart. It's a breakdown of Google's net scores over three survey snapshots. Now we skip January in this view and we do that to provide a year of a year context for October. But look at the all important database category. We've been watching this very closely, particularly with the snowflake momentum because big query generally is considered the other true cloud native database. And we have a lot of respect for what Google is doing in this area. Look at the areas of strength highlighted in the green. You've got machine intelligence where Google is a leader AI you've got containers. Kubernetes was an open source gift to the industry, and linchpin of Google's cloud and multi-cloud strategy. Google cloud is strong overall. We were surprised to see some deceleration in Google cloud functions at 51% net scores to be on honest with you, because if you look at AWS Lambda and Microsoft Azure functions, they're showing net scores in the mid to high 60s. But we're still elevated for Google. Now. I'm not that worried about steep declines, and Apogee and Looker because after an acquisitions things kind of get spread out around the ETR taxonomy so don't be too concerned about that. But as I said earlier, G Suite may just not that compelling relative to the opportunity in other areas. Now I won't show the data, but Google cloud is showing good momentum across almost all interest industries and sectors with the exception of consulting and small business, which is understandable, but notable deceleration in healthcare, which is a bit of a concern. Now I want to share some customer anecdotes about Google. These comments come from an ETR Venn round table. The first comment comes from an architect who says that "it's an advantage that Google is "not entrenched in the enterprise." Hmm. I'm not sure I agree with that, but anyway, I do take stock in what this person is saying about Microsoft trying to lure people away from AWS. And this person is right that Google essentially is exposed its internal cloud to the world and has ways to go, which is why I don't agree with the first statement. I think Google still has to figure out the enterprise. Now the second comment here underscores a point that we made earlier about big query customers really like the out of the box machine learning capabilities, it's quite compelling. Okay. Let's look at some of the data that we shared previously, we'll update this chart once the company's all report earnings, but here's our most recent take on the big three cloud vendors market performance. The key point here is that our data and the ETR data reflects Google's commentary in its earning statements. And the GCP is growing much faster than its overall cloud business, which includes things that are not apples to apples with AWS the same thing is true with Azure. Remember AWS is the only company that provides clear data on its cloud business. Whereas the others will make comments, but not share the data explicitly. So these are estimates based on those comments. And we also use, as I say, the ETR survey data and our own intelligence. Now, as one of the practitioners said, Google has a long ways to go as buddy an eighth of the size of AWS and about a fifth of the size of Azure. And although it's growing faster at this size, we feel that its growth should be even higher, but COVID is clear a factor here so we have to take that into consideration. Now I want to close by coming back to antitrust. Google spends a lot on R&D, these are quick estimates but let me give you some context. Google shells out about $26 billion annually on research and development. That's about 16% of revenue. Apple spends less about 16 billion, which is about 6% of revenue, Amazon 23 billion about 8% of the top line, Microsoft 19 billion or 13% of revenue and Facebook 14 billion or 20% of revenue, wow. So Google for sure spends on innovation. And I'm not even including CapEx in any of these numbers and the hype guys as you know, spend tons on CapEx building data centers. So I'm not saying Google cheaping out, they're not. And I got plenty of cash in there balance sheet. They got to run 120 billion. So I can't criticize they're roughly $9 billion in stock buybacks the way I often point fingers at what I consider IBM's overly wall street friendly use of cash, but I will say this and it was Jeff Hammerbacher, who I spoke with on the Cube in the early part of last decade at a dupe world, who said "the best minds of my generation are spending there time, "trying to figure out how to get people to click on ads." And frankly, that's where much of Google's R&D budget goes. And again, I'm not saying Google doesn't spend on cloud computing. It does, but I'm going to make a prediction. The post cookie apocalypse is coming soon, it may be here. iOS 14 makes you opt in to find out everything about you. This is why it's such a threat to Google. The days when Google was able to be the keeper of all of our data and to house it and to do whatever it likes with that data that ended with GDPR. And that was just the beginning of the end. This decade is going to see massive changes in public policy that will directly affect Google and other consumer facing technology companies. So my premise is that Google needs to step up its game and enterprise cloud and the edge much more than it's doing today. And I like what Thomas Kurian is doing, but Google's undervalued relative to some of the other big tech names. And I think it should tell wall street that our future is in enterprise cloud and edge computing. And we're going to take a hit to our profitability and go big in those areas. And I would suggest a few things, first ramp up R&D spending and acquisitions even more. Go on a mission to create cloud native fabric across all on-prem and the edge multicloud. Yes, I know this is your strategy, but step it up even more forget satisfying investors. You're getting dinged in the market anyway. So now's the time the moon wall street and attack the opportunity unless you don't see it, but it's staring you right in the face. Second, get way more cozy with the enterprise players that are scared to death of the cloud generally. And they're afraid of AWS in particular, spend the cash and go way, way deeper with the big tech players who have built the past IBM, Dell, HPE, Cisco, Oracle, SAP, and all the others. Those companies that have the go to market shops to help you win the day in enterprise cloud. Now, I know you partner with these companies already, but partner deeper identify game-changing innovations that you can co-create with these companies and fund it with your cash hoard. I'm essentially saying, do what you do with Apple. And instead of sucking up all our data and getting us to click on ads, solve really deep problems in the enterprise and the edge. It's all about actually building an on-prem to cloud across cloud, to the edge fabric and really making that a unified experience. And there's a data angle too, which I'll talk about now, the data collection methods that you've used on consumers, it's incredibly powerful if applied responsibly and correctly for IOT and edge computing. And I don't mean to trivialize the complexity at the edge. There really isn't one edge it's Telcos and factories and banks and cars. And I know you're in all these places Google because of Android, but there's a new wave of data coming from machines and cars. And it's going to dwarf people's clicks and believe me, Tesla wants to own its own data and Google needs to put forth a strategy that's a win-win. And so far you haven't done that because your head is an advertising. Get your heads out of your ads and cut partners in on the deal. Next, double down on your open source commitment. Kubernetes showed the power that you have in the industry. Ecosystems are going to be the linchpin of innovation over the next decade and transcend products and platforms use your money, your technology, and your position in the marketplace to create the next generation of technology leveraging the power of the ecosystem. Now I know Google is going to say, we agree, this is exactly what we're doing, but I'm skeptical. Now I think you see either the cloud is a tiny little piece of your business. You have to do with Satya Nadella did and completely pivot to the new opportunity, make cloud and the edge your mission bite the bullet with wall street and go dominate a multi-trillion dollar industry. Okay, well there you have it. Remember, all these episodes are available as podcasts, so please subscribe wherever you listen. I publish weekly on Wikibond.com and Siliconangle.com and I post on LinkedIn each week as well. So please comment or DM me @DVollante, or you can email me @David.Vollante @Siliconangle.com. And don't forget to check out etr.plus that's where all the survey action is. This is Dave Vollante for the Cube Insights powered by ETR. Thanks for watching everybody be well. And we'll see you next. (upbeat instrumental)
SUMMARY :
insights from the CUBE in ETR. in the mid to high 60s.
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Haseeb Budhani & Santhosh Pasula, Rafay | KubeCon + CloudNativeCon NA 2022
(bright upbeat music) >> Hey, guys. Welcome back to Detroit, Michigan. Lisa Martin and John Furrier here live with "theCUBE" at KubeCon CloudNativeCon, North America. John, it's been a great day. This is day one of our coverage of three days of coverage. Kubernetes is growing up. It's maturing. >> Yeah, we got three days of wall-to-wall coverage, all about Kubernetes. We heard about Security, Large scale, Cloud native at scale. That's the big focus. This next segment's going to be really awesome. You have a fast growing private company and a practitioner, big name, blue chip practitioner, building out next-gen cloud. First transforming, then building out the next level. This is classic, what we call Super Cloud-Like interview. It's going to be great. I'm looking forward to this. >> Anytime we can talk about Super Cloud, right? Please welcome back, one of our alumni, Haseeb Budhani is here, the CEO of Rafay. Great to see you. Santhosh Pasula, also joins us, the global head of Cloud SRE at Mass Mutual. Guys, great to have you on the program. >> Thanks for having us. >> Thank you for having me. >> So, Haseeb, you've been on "theCUBE" many times. You were on just recently, with the momentum that's around us today with the maturation of Kubernetes, the collaboration of the community, the recognition of the community. What are some of the things that you're excited about with on day one of the show? >> Wow, so many new companies. I mean, there are companies that I don't know who are here. And I live in this industry, and I'm seeing companies that I don't know, which is a good thing. It means that the community's growing. But at the same time, I'm also seeing another thing, which is, I have met more enterprise representatives at this show than other KubeCons. Like when we hung out at in Valencia, for example, or even other places, it hasn't been this many people. Which means, and this is a good thing that enterprises are now taking Kubernetes seriously. It's not a toy. It's not just for developers. It's enterprises who are now investing in Kubernetes as a foundational component for their applications going forward. And that to me is very, very good. >> Definitely, becoming foundational. >> Haseeb: Yeah. >> Well, you guys got a great traction. We had many interviews at "theCUBE," and you got a practitioner here with you guys, are both pioneering, kind of what I call the next-gen cloud. First you got to get through Gen-One, which you guys done at Mass Mutual extremely well. Take us through the story of your transformation? 'Cause you're on at the front end now of that next inflection point. But take us through how you got here? You had a lot of transformation success at Mass Mutual? >> So, I was actually talking about this topic few minutes back. And the whole cloud journey in big companies, large financial institutions, healthcare industry or insurance sector, it takes generations of leadership to get to that perfection level. And ideally, the cloud for strategy starts in, and then how do you standardize and optimize cloud, right? That's the second-gen altogether, and then operationalization of the cloud. And especially if you're talking about Kubernetes, in the traditional world, almost every company is running middleware and their applications in middleware. And their containerization is a topic that came in. And Docker is basically the runtime containerization. So, that came in first, and from Docker, eventually when companies started adopting Docker, Docker Swarm is one of the technologies that they adopted. And eventually, when we were taking it to a more complicated application implementations or modernization efforts, that's when Kubernetes played a key role. And as Haseeb was pointing out, you never saw so many companies working on Kubernetes. So, that should tell you one story, right? How fast Kubernetes is growing, and how important it is for your cloud strategy. >> And your success now, and what are you thinking about now? What's on your agenda now? As you look forward, what's on your plate? What are you guys doing right now? >> So we are past the stage of proof of concepts, proof of technologies, pilot implementations. We are actually playing it, the real game now. In the past, I used the quote, like "Hello world to real world." So, we are actually playing in the real world, not in the hello world anymore. Now, this is where the real time challenges will pop up. So, if you're talking about standardizing it, and then optimizing the cloud, and how do you put your governance structure in place? How do you make sure your regulations are met? The demands that come out of regulations are met? And how are you going to scale it? And while scaling, how are you going to keep up with all the governance and regulations that come with it? So we are in that stage today. >> Haseeb talked about, you talked about the great evolution of what's going on at Mass Mutual. Haseeb talk a little bit about who? You mentioned one of the things that's surprising you about this KubeCon in Detroit, is that you're seeing a lot more enterprise folks here? Who's deciding in the organization and your customer conversations? Who are the decision makers in terms of adoption of Kubernetes these days? Is that elevating? >> Hmm. Well, this guy. (Lisa laughing) One of the things I'm seeing here, and John and I have talked about this in the past, this idea of a platform organization and enterprises. So, consistently what I'm seeing, is somebody, a CTO, CIO level, an individual is making a decision. I have multiple internal Bus who are now modernizing applications. They're individually investing in DevOps, and this is not a good investment for my business. I'm going to centralize some of this capability so that we can all benefit together. And that team is essentially a platform organization. And they're making Kubernetes a shared services platform so that everybody else can come and sort of consume it. So, what that means to us, is our customer is a platform organization, and their customer is a developer. So we have to make two constituencies successful. Our customer who's providing a multi-tenant platform, and then their customer, who's your developer, both have to be happy. If you don't solve for both, you know, constituencies, you're not going to be successful. >> So, you're targeting the builder of the infrastructure and the consumer of that infrastructure? >> Yes, sir. It has to be both. >> On the other side? >> Exactly, right. So that look, honestly, it takes iteration to figure these things out. But this is a consistent theme that I am seeing. In fact, what I would argue now, is that every enterprise should be really stepping back and thinking about what is my platform strategy? Because if you don't have a platform strategy, you're going to have a bunch of different teams who are doing different things, and some will be successful, and look, some will not be. And that is not good for business. >> Yeah, and Santhosh, I want to get to you. You mentioned your transformations, what you look forward, and your title, Global Head of Cloud, SRE. Okay, so SRE, we all know came from Google, right? Everyone wants to be like Google, but no one wants to be like Google, right? And no one is Google. Google's a unique thing. >> Haseeb: Only one Google. >> But they had the dynamic and the power dynamic of one person to large scale set of servers or infrastructure. But concept can be portable, but the situation isn't. So, Borg became Kubernetes, that's inside baseball. So, you're doing essentially what Google did at their scale, you're doing for Mass Mutual. That's kind of what's happening, is that kind of how I see it? And you guys are playing in there partnering? >> So, I totally agree. Google introduce SRE, Site Reliability Engineering. And if you take the traditional transformation of the roles, in the past, it was called operations, and then DevOps ops came in, and then SRE is the new buzzword. And the future could be something like Product Engineering. And in this journey, here is what I tell folks on my side, like what worked for Google might not work for a financial company. It might not work for an insurance company. It's okay to use the word, SRE, but end of the day, that SRE has to be tailored down to your requirements. And the customers that you serve, and the technology that you serve. >> This is why I'm coming back, this platform engineering. At the end of the day, I think SRE just translates to, you're going to have a platform engineering team? 'Cause you got to enable developers to be producing more code faster, better, cheaper, guardrails, policies. It's kind of becoming the, these serve the business, which is now the developers. IT used to serve the business back in the old days, "Hey, the IT serves the business." >> Yup. >> Which is a term now. >> Which is actually true now. >> The new IT serves the developers, which is the business. >> Which is the business. >> Because if digital transformation goes to completion, the company is the app. >> The hard line between development and operations, so that's thinning down. Over the time, that line might disappear. And that's where SRE is fitting in. >> Yeah, and then building platform to scale the enablement up. So, what is the key challenges? You guys are both building out together this new transformational direction. What's new and what's the same? The same is probably the business results, but what's the new dynamic involved in rolling it out and making people successful? You got the two constituents, the builders of the infrastructures and the consumers of the services on the other side. What's the new thing? >> So, the new thing, if I may go first. The faster market to value that we are bringing to the table, that's very important. Business has an idea. How do you get that idea implemented in terms of technology and take it into real time? So, that journey we have cut down. Technology is like Kubernetes. It makes an IT person's life so easy that they can speed up the process. In a traditional way, what used to take like an year, or six months, can be done in a month today, or less than that. So, there's definitely speed velocity, agility in general, and then flexibility. And then the automation that we put in, especially if you have to maintain like thousands of clusters. These are today, it is possible to make that happen with a click off a button. In the past, it used to take, probably, 100-person team, and operational team to do it, and a lot of time. But that automation is happening. And we can get into the technology as much as possible, but blueprinting and all that stuff made it possible. >> We'll save that for another interview. We'll do it deep time. (panel laughing) >> But the end user on the other end, the consumer doesn't have the patience that they once had, right? It's, "I want this in my lab now." How does the culture of Mass Mutual? How is it evolve to be able to deliver the velocity that your customers are demanding? >> Once in a while, it's important to step yourself into the customer's shoes and think it from their perspective. Business does not care how you're running your IT shop. What they care about is your stability of the product and the efficiencies of the product, and how easy it is to reach out to the customers. And how well we are serving the customers, right? So, whether I'm implementing Docker in the background, Docker Swam or Kubernetes, business doesn't even care about it. What they really care about, it is, if your environment goes down, it's a problem. And if your environment or if your solution is not as efficient as the business needs, that's the problem, right? So, at that point, the business will step in. So, our job is to make sure, from a technology perspective, how fast you can make implement it? And how efficiently you can implement it? And at the same time, how do you play within the guardrails of security and compliance? >> So, I was going to ask you, if you have VMware in your environment? 'Cause a lot of clients compare what vCenter does for Kubernetes is really needed. And I think that's what you guys got going on. I can say that, you're the vCenter of Kubernetes. I mean, as as metaphor, a place to manage it all, is all one paint of glass, so to speak. Is that how you see success in your environment? >> So, virtualization has gone a long way. Where we started, what we call bare metal servers, and then we virtualized operating systems. Now, we are virtualizing applications, and we are virtualizing platforms as well, right? So that's where Kubernetes plays a role. >> So, you see the need for a vCenter like thing for Kubernetes? >> There's definitely a need in the market. The way you need to think is like, let's say there is an insurance company who actually implement it today, and they gain the market advantage. Now, the the competition wants to do it as well, right? So, there's definitely a virtualization of application layer that's very critical, and it's a critical component of cloud strategy as a whole. >> See, you're too humble to say it. I'll say, you're like the vCenter of Kubernetes. Explain what that means in your term? If I said that to you, what would you react? How would you react to that? Would you say, BS, or would you say on point? >> Maybe we should think about what does vCenter do today? So, in my opinion, by the way, vCenter in my opinion, is one of the best platforms ever built. Like it's the best platform in my opinion ever built. VMware did an amazing job, because they took an IT engineer, and they made him now be able to do storage management, networking management, VM's multitenancy, access management, audit. Everything that you need to run a data center, you can do from essentially single platform. >> John: From a utility standpoint, home-run? >> It's amazing. >> Yeah. >> Because you are now able to empower people to do way more. Well, why are we not doing that for Kubernetes? So, the premise man Rafay was, well, I should have IT engineers, same engineers. Now, they should be able to run fleets of clusters. That's what people that Mass Mutual are able to do now. So, to that end, now you need cluster management, you need access management, you need blueprinting, you need policy management. All of these things that have happened before, chargebacks, they used to have it in vCenter, now they need to happen in other platforms but for Kubernetes. So, should we do many of the things that vCenter does? Yes. >> John: Kind of, yeah. >> Are we a vCenter for Kubernetes? >> No. >> That is a John Furrier question. >> All right, well, the speculation really goes back down to the earlier speed question. If you can take away the complexity and not make it more steps, or change a tool chain, or do something, then the Devs move faster. And the service layer that serves the business, the new organization, has to enable speed. This is becoming a real discussion point in the industry, is that, "Yeah, we got new tool. Look at the shiny new toy." But if it move the needle, does it help productivity for developers? And does it actually scale up the enablement? That's the question. So, I'm sure you guys are thinking about this a lot. What's your reaction? >> Yeah, absolutely. And one thing that just hit my mind, is think about the hoteling industry before Airbnb and after Airbnb. Or the taxi industry before Uber and after Uber. So, if I'm providing a platform, a Kubernetes platform for my application folks, or for my application partners, they have everything ready. All they need to do is build their application and deploy it, and run it. They don't have to worry about provisioning of the servers, and then building the Middleware on top of it, and then, do a bunch of testing to make sure they iron out all the compatible issues and whatnot. Now, today, all I say is like, "Hey, we have a platform built for you. You just build your application, and then deploy it in a development environment, that's where you put all the pieces of puzzle together. Make sure you see your application working, and then the next thing that you do is like, do the correction. >> John: Shipping. >> Shipping. You build the production. >> John: Press. Go. Release it. (laughs) That when you move on, but they were there. I mean, we're there now. We're there. So, we need to see the future, because that's the case, then the developers are the business. They have to be coding more features, they have to react to customers. They might see new business opportunities from a revenue standpoint that could be creatively built, got low code, no code, headless systems. These things are happening where there's, I call the Architectural List Environment where it's like, you don't need architecture, it's already happening. >> Yeah, and on top of it, if someone has an idea, they want to implement an idea real quick. So, how do you do it? And you don't have to struggle building an environment to implement your idea and test it in real time. So, from an innovation perspective, agility plays a key role. And that's where the Kubernetes platforms, or platforms like Kubernetes plays. >> You know, Lisa, when we talked to Andy Jassy, when he was the CEO of AWS, either one-on-one or on "theCUBE," he always said, and this is kind of happening, "Companies are going to be builders, where it's not just utility, you need that table stakes to enable that new business idea." And so, in this last keynote, he did this big thing like, "Think like your developers are the next entrepreneurial revenue generators." I think I'm starting to see that. What do you think about that? You see that coming sooner than later? Or is that an insight, or is that still ways away? >> I think it's already happening at a level, at a certain level. Now ,the question comes back to, you know, taking it to the reality. I mean, you can do your proof of concept, proof of technologies, and then prove it out like, "Hey, I got a new idea. This idea is great." And it's to the business advantage. But we really want to see it in production live where your customers are actually using it. >> In the board meetings, "Hey, we got a new idea that came in, generating more revenue, where'd that come from?" Agile Developer. Again, this is real. >> Yeah. >> Yeah. Absolutely agree. Yeah, I think both of you gentlemen said a word as you were talking, you used the word, Guardrails. We're talking about agility, but the really important thing is, look, these are enterprises, right? They have certain expectations. Guardrails is key, right? So, it's automation with the guardrails. Guardrails are like children, you know, shouldn't be heard. They're seen but not heard. Developers don't care about guardrails, they just want to go fast. >> They also bounce around a little bit, (laughs) off the guardrails. >> Haseeb: Yeah. >> One thing we know that's not going to slow down, is the expectations, right? Of all the consumers of this, the Devs, the business, the business top line, and, of course, the customers. So, the ability to really, as your website says, let's say, "Make Life Easy for Platform Teams" is not trivial. And clearly what you guys are talking about here, is you're really an enabler of those platform teams, it sounds like to me. >> Yup. >> So, great work, guys. Thank you so much for both coming on the program, talking about what you're doing together, how you're seeing the evolution of Kubernetes, why? And really, what the focus should be on those platform teams. We appreciate all your time and your insights. >> Thank you so much for having us. >> Thanks for having us. >> Our pleasure. For our guests and for John Furrier, I'm Lisa Martin. You're watching "theCUBE" Live, KubeCon CloudNativeCon from Detroit. We'll be back with our next guest in just a minute, so stick around. (bright upbeat music)
SUMMARY :
This is day one of our coverage building out the next level. Haseeb Budhani is here, the CEO of Rafay. What are some of the things It means that the community's growing. and you got a practitioner And Docker is basically the and how do you put your You mentioned one of the One of the things I'm seeing here, It has to be both. Because if you don't what you look forward, and the power dynamic and the technology that you serve. At the end of the day, I The new IT serves the developers, the company is the app. Over the time, that line might disappear. and the consumers of the So, the new thing, if I may go first. We'll save that for another interview. How is it evolve to be able So, at that point, the if you have VMware in your environment? and then we virtualized operating systems. Now, the the competition If I said that to you, So, in my opinion, by the way, So, to that end, now you the new organization, has to enable speed. that you do is like, You build the production. I call the Architectural List And you don't have to struggle are the next entrepreneurial I mean, you can do your proof of concept, In the board meetings, but the really important thing is, (laughs) off the guardrails. So, the ability to really, as coming on the program, guest in just a minute,
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Breaking Analysis: Answering the top 10 questions about SuperCloud
>> From the theCUBE studios in Palo Alto in Boston, bringing you data driven insights from theCUBE and ETR. This is "Breaking Analysis" with Dave Vellante. >> Welcome to this week's Wikibon, theCUBE's insights powered by ETR. As we exited the isolation economy last year, supercloud is a term that we introduced to describe something new that was happening in the world of cloud. In this Breaking Analysis, we address the 10 most frequently asked questions we get around supercloud. Okay, let's review these frequently asked questions on supercloud that we're going to try to answer today. Look at an industry that's full of hype and buzzwords. Why the hell does anyone need a new term? Aren't hyperscalers building out superclouds? We'll try to answer why the term supercloud connotes something different from hyperscale clouds. And we'll talk about the problems that superclouds solve specifically. And we'll further define the critical aspects of a supercloud architecture. We often get asked, isn't this just multi-cloud? Well, we don't think so, and we'll explain why in this Breaking Analysis. Now in an earlier episode, we introduced the notion of super PaaS. Well, isn't a plain vanilla PaaS already a super PaaS? Again, we don't think so, and we'll explain why. Who will actually build and who are the players currently building superclouds? What workloads and services will run on superclouds? And 8-A or number nine, what are some examples that we can share of supercloud? And finally, we'll answer what you can expect next from us on supercloud? Okay, let's get started. Why do we need another buzzword? Well, late last year, ahead of re:Invent, we were inspired by a post from Jerry Chen called "Castles in the Cloud." Now in that blog post, he introduced the idea that there were sub-markets emerging in cloud that presented opportunities for investors and entrepreneurs that the cloud wasn't going to suck the hyperscalers. Weren't going to suck all the value out of the industry. And so we introduced this notion of supercloud to describe what we saw as a value layer emerging above the hyperscalers CAPEX gift, we sometimes call it. Now it turns out, that we weren't the only ones using the term as both Cornell and MIT have used the phrase in somewhat similar, but different contexts. The point is something new was happening in the AWS and other ecosystems. It was more than IaaS and PaaS, and wasn't just SaaS running in the cloud. It was a new architecture that integrates infrastructure, platform and software as services to solve new problems that the cloud vendors in our view, weren't addressing by themselves. It seemed to us that the ecosystem was pursuing opportunities across clouds that went beyond conventional implementations of multi-cloud. And we felt there was a structural change going on at the industry level, the supercloud, metaphorically was highlighting. So that's the background on why we felt a new catch phrase was warranted, love it or hate it. It's memorable and it's what we chose. Now to that last point about structural industry transformation. Andy Rappaport is sometimes and often credited with identifying the shift from the vertically integrated IBM mainframe era to the fragmented PC microprocesor-based era in his HBR article in 1991. In fact, it was David Moschella, who at the time was an IDC Analyst who first introduced the concept in 1987, four years before Rappaport's article was published. Moschella saw that it was clear that Intel, Microsoft, Seagate and others would replace the system vendors, and put that forth in a graphic that looked similar to the first two on this chart. We don't have to review the shift from IBM as the center of the industry to Wintel, that's well understood. What isn't as well known or accepted is what Moschella put out in his 2018 book called "Seeing Digital" which introduced the idea of "The Matrix" that's shown on the right hand side of this chart. Moschella posited that new services were emerging built on top of the internet and hyperscale clouds that would integrate other innovations and would define the next era of computing. He used the term Matrix because the conceptual depiction included not only horizontal technology rose like the cloud and the internet, but for the first time included connected industry verticals, the columns in this chart. Moschella pointed out that whereas historically, industry verticals had a closed value chain or stack and ecosystem of R&D, and production, and manufacturing, and distribution. And if you were in that industry, the expertise within that vertical generally stayed within that vertical and was critical to success. But because of digital and data, for the first time, companies were able to traverse industries, jump across industries and compete because data enabled them to do that. Examples, Amazon and content, payments, groceries, Apple, and payments, and content, and so forth. There are many examples. Data was now this unifying enabler and this marked a change in the structure of the technology landscape. And supercloud is meant to imply more than running in hyperscale clouds, rather it's the combination of multiple technologies enabled by CloudScale with new industry participants from those verticals, financial services and healthcare, manufacturing, energy, media, and virtually all in any industry. Kind of an extension of every company is a software company. Basically, every company now has the opportunity to build their own cloud or supercloud. And we'll come back to that. Let's first address what's different about superclouds relative to hyperscale clouds? You know, this one's pretty straightforward and obvious, I think. Hyperscale clouds, they're walled gardens where they want your data in their cloud and they want to keep you there. Sure, every cloud player realizes that not all data will go to their particular cloud so they're meeting customers where their data lives with initiatives like Amazon Outposts and Azure Arc, and Google Anthos. But at the end of the day, the more homogeneous they can make their environments, the better control, security, cost, and performance they can deliver. The more complex the environment, the more difficult it is to deliver on their brand promises. And of course, the lesser margin that's left for them to capture. Will the hyperscalers get more serious about cross-cloud services? Maybe, but they have plenty of work to do within their own clouds and within enabling their own ecosystems. They had a long way to go a lot of runway. So let's talk about specifically, what problems superclouds solve? We've all seen the stats from IDC or Gartner, or whomever the customers on average use more than one cloud. You know, two clouds, three clouds, five clouds, 20 clouds. And we know these clouds operate in disconnected silos for the most part. And that's a problem because each cloud requires different skills because the development environment is different as is the operating environment. They have different APIs, different primitives, and different management tools that are optimized for each respective hyperscale cloud. Their functions and value props don't extend to their competitors' clouds for the most part. Why would they? As a result, there's friction when moving between different clouds. It's hard to share data, it's hard to move work. It's hard to secure and govern data. It's hard to enforce organizational edicts and policies across these clouds, and on-prem. Supercloud is an architecture designed to create a single environment that enables management of workloads and data across clouds in an effort to take out complexity, accelerate application development, streamline operations and share data safely, irrespective of location. It's pretty straightforward, but non-trivial, which is why I always ask a company's CEO and executives if stock buybacks and dividends will yield as much return as building out superclouds that solve really specific and hard problems, and create differential value. Okay, let's dig a bit more into the architectural aspects of supercloud. In other words, what are the salient attributes of supercloud? So first and foremost, a supercloud runs a set of specific services designed to solve a unique problem and it can do so in more than one cloud. Superclouds leverage the underlying cloud native tooling of a hyperscale cloud, but they're optimized for a specific objective that aligns with the problem that they're trying to solve. For example, supercloud might be optimized for lowest cost or lowest latency, or sharing data, or governing, or securing that data, or higher performance for networking, for example. But the point is, the collection of services that is being delivered is focused on a unique value proposition that is not being delivered by the hyperscalers across clouds. A supercloud abstracts the underlying and siloed primitives of the native PaaS layer from the hyperscale cloud and then using its own specific platform as a service tooling, creates a common experience across clouds for developers and users. And it does so in a most efficient manner, meaning it has the metadata knowledge and management capabilities that can optimize for latency, bandwidth, or recovery, or data sovereignty, or whatever unique value that supercloud is delivering for the specific use case in their domain. And a supercloud comprises a super PaaS capability that allows ecosystem partners through APIs to add incremental value on top of the supercloud platform to fill gaps, accelerate features, and of course innovate. The services can be infrastructure-related, they could be application services, they could be data services, security services, user services, et cetera, designed and packaged to bring unique value to customers. Again, that hyperscalers are not delivering across clouds or on-premises. Okay, so another common question we get is, isn't that just multi-cloud? And what we'd say to that is yes, but no. You can call it multi-cloud 2.0, if you want, if you want to use it, it's kind of a commonly used rubric. But as Dell's Chuck Whitten proclaimed at Dell Technologies World this year, multi-cloud by design, is different than multi-cloud by default. Meaning to date, multi-cloud has largely been a symptom of what we've called multi-vendor or of M&A, you buy a company and they happen to use Google Cloud, and so you bring it in. And when you look at most so-called, multi-cloud implementations, you see things like an on-prem stack, which is wrapped in a container and hosted on a specific cloud or increasingly a technology vendor has done the work of building a cloud native version of their stack and running it on a specific cloud. But historically, it's been a unique experience within each cloud with virtually no connection between the cloud silos. Supercloud sets out to build incremental value across clouds and above hyperscale CAPEX that goes beyond cloud compatibility within each cloud. So if you want to call it multi-cloud 2.0, that's fine, but we chose to call it supercloud. Okay, so at this point you may be asking, well isn't PaaS already a version of supercloud? And again, we would say no, that supercloud and its corresponding superPaaS layer which is a prerequisite, gives the freedom to store, process and manage, and secure, and connect islands of data across a continuum with a common experience across clouds. And the services offered are specific to that supercloud and will vary by each offering. Your OpenShift, for example, can be used to construct a superPaaS, but in and of itself, isn't a superPaaS, it's generic. A superPaaS might be developed to support, for instance, ultra low latency database work. It would unlikely again, taking the OpenShift example, it's unlikely that off-the-shelf OpenShift would be used to develop such a low latency superPaaS layer for ultra low latency database work. The point is supercloud and its inherent superPaaS will be optimized to solve specific problems like that low latency example for distributed databases or fast backup and recovery for data protection, and ransomware, or data sharing, or data governance. Highly specific use cases that the supercloud is designed to solve for. Okay, another question we often get is who has a supercloud today and who's building a supercloud, and who are the contenders? Well, most companies that consider themselves cloud players will, we believe, be building or are building superclouds. Here's a common ETR graphic that we like to show with Net Score or spending momentum on the Y axis and overlap or pervasiveness in the ETR surveys on the X axis. And we've randomly chosen a number of players that we think are in the supercloud mix, and we've included the hyperscalers because they are enablers. Now remember, this is a spectrum of maturity it's a maturity model and we've added some of those industry players that we see building superclouds like CapitalOne, Goldman Sachs, Walmart. This is in deference to Moschella's observation around The Matrix and the industry structural changes that are going on. This goes back to every company, being a software company and rather than pattern match an outdated SaaS model, we see new industry structures emerging where software and data, and tools, specific to an industry will lead the next wave of innovation and bring in new value that traditional technology companies aren't going to solve, and the hyperscalers aren't going to solve. You know, we've talked a lot about Snowflake's data cloud as an example of supercloud. After being at Snowflake Summit, we're more convinced than ever that they're headed in this direction. VMware is clearly going after cross-cloud services you know, perhaps creating a new category. Basically, every large company we see either pursuing supercloud initiatives or thinking about it. Dell showed project Alpine at Dell Tech World, that's a supercloud. Snowflake introducing a new application development capability based on their superPaaS, our term of course, they don't use the phrase. Mongo, Couchbase, Nutanix, Pure Storage, Veeam, CrowdStrike, Okta, Zscaler. Yeah, all of those guys. Yes, Cisco and HPE. Even though on theCUBE at HPE Discover, Fidelma Russo said on theCUBE, she wasn't a fan of cloaking mechanisms, but then we talked to HPE's Head of Storage Services, Omer Asad is clearly headed in the direction that we would consider supercloud. Again, those cross-cloud services, of course, their emphasis is connecting as well on-prem. That single experience, which traditionally has not existed with multi-cloud or hybrid. And we're seeing the emergence of companies, smaller companies like Aviatrix and Starburst, and Clumio and others that are building versions of superclouds that solve for a specific problem for their customers. Even ISVs like Adobe, ADP, we've talked to UiPath. They seem to be looking at new ways to go beyond the SaaS model and add value within their cloud ecosystem specifically, around data as part of their and their customers digital transformations. So yeah, pretty much every tech vendor with any size or momentum and new industry players are coming out of hiding, and competing. Building superclouds that look a lot like Moschella's Matrix, with machine intelligence and blockchains, and virtual realities, and gaming, all enabled by the internet and hyperscale cloud CAPEX. So it's moving fast and it's the future in our opinion. So don't get too caught up in the past or you'll be left behind. Okay, what about examples? We've given a number in the past, but let's try to be a little bit more specific. Here are a few we've selected and we're going to answer the two questions in one section here. What workloads and services will run in superclouds and what are some examples? Let's start with analytics. Our favorite example is Snowflake, it's one of the furthest along with its data cloud, in our view. It's a supercloud optimized for data sharing and governance, query performance, and security, and ecosystem enablement. When you do things inside of that data cloud, what we call a super data cloud. Again, our term, not theirs. You can do things that you could not do in a single cloud. You can't do this with Redshift, You can't do this with SQL server and they're bringing new data types now with merging analytics or at least accommodate analytics and transaction type data, and bringing open source tooling with things like Apache Iceberg. And so it ticks the boxes we laid out earlier. I would say that a company like Databricks is also in that mix doing it, coming at it from a data science perspective, trying to create that consistent experience for data scientists and data engineering across clouds. Converge databases, running transaction and analytic workloads is another example. Take a look at what Couchbase is doing with Capella and how it's enabling stretching the cloud to the edge with ARM-based platforms and optimizing for low latency across clouds, and even out to the edge. Document database workloads, look at MongoDB, a very developer-friendly platform that with the Atlas is moving toward a supercloud model running document databases very, very efficiently. How about general purpose workloads? This is where VMware comes into to play. Very clearly, there's a need to create a common operating environment across clouds and on-prem, and out to the edge. And I say VMware is hard at work on that. Managing and moving workloads, and balancing workloads, and being able to recover very quickly across clouds for everyday applications. Network routing, take a look at what Aviatrix is doing across clouds, industry workloads. We see CapitalOne, it announced its cost optimization platform for Snowflake, piggybacking on Snowflake supercloud or super data cloud. And in our view, it's very clearly going to go after other markets is going to test it out with Snowflake, running, optimizing on AWS and it's going to expand to other clouds as Snowflake's business and those other clouds grows. Walmart working with Microsoft to create an on-premed Azure experience that's seamless. Yes, that counts, on-prem counts. If you can create that seamless and continuous experience, identical experience from on-prem to a hyperscale cloud, we would include that as a supercloud. You know, we've written about what Goldman is doing. Again, connecting its on-prem data and software tooling, and other capabilities to AWS for scale. And we can bet dollars to donuts that Oracle will be building a supercloud in healthcare with its Cerner acquisition. Supercloud is everywhere you look. So I'm sorry, naysayers it's happening all around us. So what's next? Well, with all the industry buzz and debate about the future, John Furrier and I, have decided to host an event in Palo Alto, we're motivated and inspired to further this conversation. And we welcome all points of view, positive, negative, multi-cloud, supercloud, hypercloud, all welcome. So theCUBE on Supercloud is coming on August 9th, out of our Palo Alto studios, we'll be running a live program on the topic. We've reached out to a number of industry participants, VMware, Snowflake, Confluent, Sky High Security, Gee Rittenhouse's new company, HashiCorp, CloudFlare. We've hit up Red Hat and we expect many of these folks will be in our studios on August 9th. And we've invited a number of industry participants as well that we're excited to have on. From industry, from financial services, from healthcare, from retail, we're inviting analysts, thought leaders, investors. We're going to have more detail in the coming weeks, but for now, if you're interested, please reach out to me or John with how you think you can advance the discussion and we'll see if we can fit you in. So mark your calendars, stay tuned for more information. Okay, that's it for today. Thanks to Alex Myerson who handles production and manages the podcast for Breaking Analysis. And I want to thank Kristen Martin and Cheryl Knight, they help get the word out on social and in our newsletters. And Rob Hof is our editor in chief over at SiliconANGLE, who does a lot of editing and appreciate you posting on SiliconANGLE, Rob. Thanks to all of you. Remember, all these episodes are available as podcasts wherever you listen. All you got to do is search Breaking Analysis podcast. It publish each week on wikibon.com and siliconangle.com. You can email me directly at david.vellante@siliconangle.com or DM me @DVellante, or comment on my LinkedIn post. And please do check out ETR.ai for the best survey data. And the enterprise tech business will be at AWS NYC Summit next Tuesday, July 12th. So if you're there, please do stop by and say hello to theCUBE, it's at the Javits Center. This is Dave Vellante for theCUBE insights powered by ETR. Thanks for watching. And we'll see you next time on "Breaking Analysis." (bright music)
SUMMARY :
From the theCUBE studios and how it's enabling stretching the cloud
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Rinesh Patel, Snowflake & Jack Berkowitz, ADP | Snowflake Summit 2022
(upbeat music) >> Welcome back to theCUBE's continuing coverage of Snowflake Summit 22 live from Caesars Forum in Las Vegas. I'm Lisa Martin with Dave Vellante. We've got a couple of guests joining us now. We're going to be talking about financial services. Rinesh Patel joins us, the Global Head of Financial Services for Snowflake, and Jack Berkowitz, Chief Data Officer at ADP. Guys, welcome to the program. >> Thanks, thanks for having us. >> Thanks for having us. >> Talk to us about what's going on in the financial services industry as a whole. Obviously, we've seen so much change in the last couple of years. What does the data experience look like for internal folks and of course, for those end user consumers and clients? >> So, one of the big things happening inside of the financial services industry is overcoming the COVID wait, right? A lot of banks, a lot of institutions like ours had a lot of stuff on-prem. And then the move to the Cloud allows us to have that flexibility to deal with it. And out of that is also all these new capabilities. So the machine learning revolution has really hit the services industry, right? And so it's affecting how our IT teams or our data teams are building applications. Also really affecting what the end consumers get out of them. And so there's all sorts of consumerization of the experience over the past couple of years much faster than we ever expected it to happen. >> Right, we have these expectations as consumers that bleed into our business lives that I can do transactions. It's going to be on the swipe in terms of checking authenticity, fraud detection, et cetera. And of course we don't want things to go back in terms of how brands are serving us. Talk about some of the things that you guys have put in place with Snowflake in the last couple of years, particularly at ADP. >> Yeah, so one of the big things that we've done, is, one of the things that we provide is compensation data. So we issue a thing called the National Employment Report that informs the world as to what's happening in the U.S. economy in terms of workers. And then we have compensation data on top of that. So the thing that we've been able to do with Snowflake is to lower the time that it takes us to process that and get that information out into the fingertips of people. And so people can use it to see what's changed in terms of with the worker changes, how much people are making. And they can get it very, very quickly. And we're able to do that with Snowflake now. Used to take us weeks, now it's in a matter of moments we can get that updated information out to people. >> Interesting. It helps with the talent war and- >> Helps in the talent war, helps people adjust, even where they're going to put supply chain in reaction to where people are migrating. We can have all of that inside of the Snowflake system and available almost instantaneously. >> You guys announced the Financial Data Cloud last year. What was that like? 'Cause I know we had Frank on early, he clearly was driving the verticalization of Snowflake if you will, which is kind of rare for a relatively new software company but what's that been like? Give us the update on where you're at and biggest vertical, right? >> Absolutely, it's been an exciting 12 months. We're a platform, but the journey and the vision is more. We're trying to bring together a fragmented ecosystem across financial services. The aim is really to bring together key customers, key data providers, key solution providers all across the different Clouds that exist to allow them to collaborate with data in a seamless way. To solve industry problems. To solve industry problems like ESG, to solve industry problems like quantitative research. And we're seeing a massive groundswell of customers coming to Snowflake, looking at the Financial Services Data Cloud now to actually solve business problems, business critical problems. That's really driving a lot of change in terms of how they operate, in terms of how they win customers, mitigate risk and so forth. >> Jack, I think, I feel like the only industry that's sometimes more complicated than security, is data. Maybe not, security's still maybe more fragmented- >> Well really the intersection of the two is a nightmare. >> And so as you look out on this ecosystem, how do you as the chief data officer, how do you and your organization, what process do you use to decide, okay, which of the, like a chef, which of these ingredients am I going to put together for my business. >> It's a great question, right? There's been explosion of companies. We kind of look at it in two ways. One is we want to make sure that the software and the data can interoperate because we don't want to be in the business of writing bridge code. So first thing is, is having the ecosystem so that the things are tested and can work together. The other area is, and it's important to us is understanding the risk profile of that company. We process about 20% of the U.S. payroll, another 25% of the taxes. And so there's a risk to us that we have an imperative to protect. So we're looking at those companies are they financed, what's their management team. What's the sales experience like, that's important to us. And so technology and the experience of the company coming together are super important to us. >> What's your purview as a chief data officer, I mean, a lot of CDOs that I know came out of the back office and it was a compliance or data quality. You come out of industry from a technology company. So you're sort of the modern... You're like the modern CDO. >> Thanks. Thanks. >> Dave: What's your role? >> I appreciate that. >> You know what I'm saying though? >> And for a while it was like, oh yeah, compliance. >> So I actually- >> And then all of a sudden, boom, big deal. >> Yeah, I really have two jobs. So I have that job with data governance but a lot of data security. But I also have a product development unit, a massive business in monetization of data or people analytics or these compensation benchmarks or helping people get mortgages. So providing that information, so that people can get their mortgage, or their bank loans, or all this other type of transactional data. *So it's both sides of that equation is my reading inside. >> You're responsible for building data products? >> That's right. >> Directly. >> That's right. I've got a massive team that builds data products. >> Okay. That's somewhat unique in your... >> I think it's where CDOs need to be. So we build data products. We build, and we assist as a hub to allow other business units to build analytics that help them either optimize their cost or increase their sales. And then we help with all that governance and communication, we don't want to divide it up. There's a continuum to it. >> And you're a peer of the CIO and the CISO? >> Yeah, exactly. They're my peers. I actually talk to them almost every day. So I've got the CIO as a peer. >> It's a team. >> I've got the security as a peer and we get things done together. >> Talk about the alignment with business. We've been talking a lot about alignment with the data folks, the business folks, the technical folks to identify the right solutions, to be able to govern data, to monetize it, to create data products. What does that... You mentioned a couple of your cohorts, but on the business side, who are some of those key folks? >> So we're like any other big, big organization. We have lots of different business units. So we work directly with either the operational team or the heads of those business units to divine analytic missions that they'll actually execute. And at the same time, we actually have a business unit that's all around data monetization. And so I work with them every single day. And so these business units will come together. I think the big thing for us is to define value and measure that value as we go. As long as we're measuring that value as we go, then we can continue to see improvements. And so, like I said, sometimes it's bottom line, sometimes it's top line, but we're involved. Data is actually a substrate of the company. It's not a side thing to the company. >> Yeah, you are. >> ADP. >> Yeah but if they say data first but you really are data first. >> Yeah. I mean, our CEO says- >> Data's your product. >> Data's our middle name. And it literally is. >> Well, so what do you do in the Snowflake financial services data Cloud? Are you monetizing? >> Yeah. >> What's the plan? >> Yeah, so we have clients. So part of our data monetization is actually providing aggregate and anonymized information that helps other clients make business decisions. So they'll take it into their analytics. So, supply chain optimization, where should we actually put the warehouses based on the population shifts? And so we're actually using the file distribution capabilities or the information distribution, no longer files, where we use Snowflake to actually be that data cloud for those clients. So the data just pops up for our other clients. >> I think the industry's existed a lot with the physical movement of data. When you physically move data, you also physically move the data management challenges. Where do you store it? How do you map it? How do you concord it? And ultimately data sharing is taking away that friction that exists. So it's easier to be able to make informed decisions with the data at hand across two counterparties. >> Yeah, and there's a benefit to us 'cause it lowers our friction. We can have a conversation and somebody can be... Obviously the contracts have to be signed, but once they get done, somebody's up and running on it within minutes. And where it used to be, as you were saying, the movement of data and loss of control, we never actually lose control of it. We know where it is. >> Or yeah, contracts signed, now you got to go through this long process of making sure everything's cool, or a lot of times it could slow down the sale. >> That's right. >> Let's see how that's going to... Let's do a little advanced work. Now you're working without a contract. Here, you can say, "Hey, we're in the Snowflake data cloud. It's governed, you're a part of the ecosystem." >> Yeah, and the ecosystem we announced, oh gee, I think it's probably almost a year and a half ago, a relationship with ICE, Intercontinental Exchange, where they're actually taking our information and their information and creating a new data product that they in turn sell. So you get this sort of combination. >> Absolutely. The ability to form partnerships and monetize data with your partners vastly increases as a consequence. >> Talk to us about the adoption of the financial services data cloud in the last what, maybe nine months or so, since it was announced? And also in terms of the its value proposition, how does the ADP use case articulate that? >> So, very much so. So in terms of momentum, we're a global organization, as you mentioned, we are verticalized. So we have increasingly more expertise and expertise experience now within financial services that allows us to really engage and accelerate our momentum with the top banks, with the biggest asset managers by AUM, insurance companies, sovereign wealth funds on Snowflake. And obviously those data providers and solution providers that we engage with. So the momentum's really there. We're really moving very, very fast in a great market because we've got great opportunity with the capabilities that we have. I mean, ADP is just one of many use cases that we're working with and collaborations that we're taking to market. So yeah, the opportunity to monetize data and help our partners monetize the data has vastly increased within this space. >> When you think about... Oh go ahead, please. >> Yeah I was just going to say, and from our perspective, as we were getting into this, Snowflake was with us on the journey. And that's been a big deal. >> So when you think about data privacy, governance, et cetera, and public policy, it seems like you have, obviously you got things going on in Europe, and you got California, you have other states, there's increasing in complexity. You guys probably love that. (Dave laughs) More data warehouses, but where are we at with that whole? >> It's a great question. Privacy is... We hold some of the most critical information about people because that's our job to help people get paid. And we respect that as sort of our prime agenda. Part of it deals with the technology. How do you monitor, how do you see, make sure that you comply with all these regulations, but a lot of it has to do with the basic ethics of why you're doing and what you're doing. So we have a data and AI ethics board that meets and reviews our use cases. Make sure not only are we doing things properly to the regulation, but are these the types of products, are these the types of opportunities that we as a company want to stand behind on behalf of the consumers? Our company's been around 75 years. We talk about ourselves as a national asset. We have a trust relationship. We want to ensure that that trust relationship is never violated. >> Are you in a position where you can influence public policy and create more standards or framework. >> We actually are, right. We issue something every month called the National Employment Report. It actually tells you what's happening in the U.S. economy. We also issue it in some overseas countries like France. Because of that, we work a lot with various groups. And we can help shape, either data policy, we're involved in understanding although we don't necessarily want to be out in the front, but we want to learn about what's happening with federal trade commission, EOC, because at the end of the day we serve people, I always joke ADP, it's my grandfather's ADP. Well, it was actually my grandfather's ADP. (Dave laughs) He was a small businessman, and he used a ADP all those years ago. So we want to be part of that conversation because we want to continue to earn that trust every day. >> Well, plus your observation space is pretty wide. >> And you've got context and perspective on that that you can bring. >> We move somewhere between two, two and a half trillion dollars a year through our systems. And so we understand what's happening in the economy. >> What are some of the, oh sorry. >> Can your National Employment Report combined with a little Snowflake magic tell us what the hell's going to happen with this economy? >> It's really interesting you say that. Yeah, we actually can. >> Okay. (panelists laugh) >> I think when you think about the amount of data that we are working with, the types of partners that we're working with, the opportunities are infinite. They really, really are. >> So it's either a magic eight ball or it's a crystal ball, but you have it. >> We think- >> We've just uncovered that here on theCUBE. >> We think we have great partners. We have great data. We have a set of industry problems out there that we're working, collaboration with the community to be able to solve. >> What are some of the upcoming use cases Rinesh, that excite you, that are coming up in financial services- >> Great question. >> That snowflake is just going to knock out of the park. >> So look, I think there's a set of here and now problems that the industry faces, ESG's a good one. If you think about ESG, it means many different things from business ethics, to diversity, to your carbon footprint and every asset manager has to make sure they have now some form of green strategy that reflects the values of their investors. And every bank is looking to put in place sustainable lending to help their corporate customers transition. That's a big data problem. And so we're very much at the center of helping those organizations support those informed investors and help those corporates transition to a more sustainable landscape. >> Let me give you an example on Snowflake, we launched capabilities about diversity benchmarks. The first time in the industry companies can understand for their industry, their size, their location what their diversity profile looks like and their org chart profile looks like to differentiate or at least to understand are they doing the right things inside the business. The ability for banks to understand that and everything else, it's a big deal. And that was built on Snowflake. >> I think it's massive, especially in the context of the question around regulation 'cause we're seeing more and more disclosure agreements come out where regulators are making sure that there's no greenwashing taking place. So when you have really strong sources of data that are standardized, that allow that investment process to ingest that data, it does allow for a better outcome for investors. >> Real data, I mean, that diversity example they don't have to rely on a survey. >> It's not a survey. >> Anecdotes. >> It's coming right out of the transactional systems and it's updated, whenever those paychecks are run, whether it's weekly, whether it's biweekly or monthly, all that information gets updated and it's available. >> So it sounds like ADP is a facilitator of a lot of companies ESG initiatives, at least in part? >> Well, we partner with companies all the time. We have over 900,000 clients and all of them are... We've never spoken to a client who's not concerned about their people. And that's just good business. And so, yeah we're involved in that and we'll see where it goes over time now. >> I think there's tremendous opportunity if you think about the data that the ADP have in terms of diversity, in terms of gender pay gap. Huge, huge opportunity to incorporate that, as I said into the ESG principles and criteria. >> Good, 'cause that definitely is what needs to be addressed. (Lisa laughs) Guys thank you so much for joining Dave and me on the program, talking about Snowflake ADP, what you're doing together, and the massive potential that you're helping unlock with the value of data. We appreciate your insights and your time. >> Thank you for having us. >> Dave: Thanks guys. >> Thank you so much. >> For our guests, and Dave Vellante, I'm Lisa Martin. You're watching theCUBE, live in Las Vegas at Snowflake Summit 22. Dave and I will be right back with our next guest. (upbeat music)
SUMMARY :
the Global Head of Financial in the last couple of years. inside of the financial services industry And of course we don't is, one of the things that we It helps with the talent war and- inside of the Snowflake system You guys announced the We're a platform, but the like the only industry Well really the intersection of the two And so as you look so that the things are I mean, a lot of CDOs that I know Thanks. And for a while it was And then all of a sudden, So I have that job with data governance that builds data products. That's somewhat unique in your... And then we help with all that governance So I've got the CIO I've got the security as a peer Talk about the alignment with business. and measure that value as we go. but you really are data first. I mean, our CEO says- And it literally is. So the data just pops up So it's easier to be able Obviously the contracts have to be signed, could slow down the sale. in the Snowflake data cloud. Yeah, and the ecosystem we announced, and monetize data with your partners and help our partners monetize the data When you think about... as we were getting into this, are we at with that whole? behalf of the consumers? where you can influence public policy the day we serve people, Well, plus your observation that you can bring. happening in the economy. It's really interesting you say that. Okay. about the amount of data or it's a crystal ball, but you have it. that here on theCUBE. We think we have great partners. going to knock out of the park. that the industry faces, ESG's a good one. And that was built on Snowflake. of the question around regulation they don't have to rely on a survey. the transactional systems companies all the time. about the data that the ADP and the massive potential Dave and I will be right
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Katie Laughlin, IQVIA & Prasanna Krishnan, Snowflake | Snowflake Summit 2022
(upbeat music) >> Hey everyone. Welcome back to the show floor in Las Vegas Snowflake Summit 22 with 7,000 plus folks here, Lisa Martin with Dave Vellante. Great to be back in person. We're excited to welcome a couple of guests that join us next. Persona Christian is here. The director of product for collaboration and Snowflake marketplace. Katie Laughlin joins us as well. The Global Head Offerings, Human Data Science Cloud at Customer IQVIA. Ladies, welcome to the program. >> Thank you. >> Thank you for having us. >> Dave: All right. Thanks for coming on. >> Katie, let's go ahead and start with you. Give the audience an overview of IQVIA. What you guys do, your mission, what you deliver? >> Yeah, sure. So, IQVIA is a healthcare focused data analytics and clinical research organization. We have 82,000 employees. We operate in a hundred countries and we have tens of thousands of data deliverables that we curate for our customers and deliver to them on a monthly basis. So, we're 100% healthcare focused, whether it's clinical research, helping our customers support their clinical trials, real world evidence, how are medicines operating in the market or commercial aspects. You know, how is your company performing overall in the market? >> How long have you been a customer of Snowflake's? >> A few years. Yeah. >> A few years, okay. Persona, tremendous growth going on right now. There's a rocket ship. You could even feel kind of like the whiplash from the keynote and all the announcements going on, but looking at the first quarter 23, fiscal 23 results, product revenue, 384 million, 85% growth tremendous momentum going on, big growth in customers. Talk to us about IQVIA, its partnership with Snowflake and the data driver award program. They, they just won. >> Yeah, absolutely. I'll start with a little bit about the Snowflake collaboration capabilities, which enable these thousands of customers to really collaborate on the data cloud to be able to break down silos between data and drive business decisions based on data and applications that live outside your own four walls as well. And this is where IQVIA, as a leader in healthcare data, bringing together data to enable healthcare organizations to be more data driven and to really drive insights. One, the data for good award, which we are really excited with for the partnership and really excited to have IQVIA be the winner of the award. >> And what does that mean? The data for good. We always love talking about that, Katie. >> Katie: Sure. What does that mean? How is that embodied at IQVIA? >> Can you say the last part? >> Yeah. How is that embodied at IQVIA? >> That's a great question. I think everyone that works at IQVIA believes in the mission, which is really to drive healthcare forward. We're really proud of a lot of the things that we do. So, with the advent of COVID, for example, we really had to pivot and help our customers. How do we keep executing on clinical trials? We supported a lot of the COVID trials that came forward and helped our customers understand how is this affecting patients in the real world? And how is it affecting your commercial operations? So, being in Vegas with tens of thousands of people around and almost nobody wearing masks, I think to myself, I'm part of the organization an organization that helped make that possible. >> So Frank Slootman today, Katie talked about compress. He talked about one pharmaceutical compressing from nine years to seven years, you guys have done a lot of obviously contract research over the years. So, what has that Snowflake journey been like? What's been the business impact of of working with that and the collaboration? >> Yeah. So my focus is really around our data as a service offering, which is where we're enabling our customers to ingest their data in modern ways. So if you imagine, you know, we've done everything from paper to big tapes of data for over 60 years of of our company being in business, now to VPN, SFTP, making multiple hops of data from one end to the other. I was just learning about one of our use cases where we're able to cut down processing time for our customers for two weeks. They data share some data with us. We do some additional processing on that. We serve it back to them and we're saving them two weeks of time to gain time to insights. >> Right. And Prasanna, collaboration transcends data sharing, right? It's almost like it's, that's, that's sort of the the first, the core of the concentric circle, right? >> Prasanna: Yeah. >> Talk about what else is embodied in collaboration. >> Yeah, that's a great question. So the first problem that we solved was getting access to data through our core sharing technology. And as you were talking about Katie, replacing FTPs and having to build APIs, which were cumbersome, and instead being able to access data on the data cloud without having to copy or move anything. That was the core sharing technology. But that solves the first problem, which is the access problem. The second problem is how do I discover what what's out there? How do I better understand it? How do I evaluate it? How do I try it and buy it? And those are all the problems that we're solving with the marketplace, which is now home to both data and applications that you can discover, try, and buy. >> Katie, talk to us about what IQVIA was doing before Snowflake? What was that life like before? How were you enabling customers to leverage data to make data driven decisions? >> Yeah, so we, as I said, we're a data and analytics company. So we provide some native analytics capabilities to our customers, but most customers, most of the large customers I would say, they're building their own data lakes. They have their own ecosystems. Some of them are adopting Snowflake and we really needed to partner with them on being able to get the data to them as quickly as possible. So like, I, I was just describing a minute ago we would have multiple hops where we deliver to a location, customer ingests it, customer does their QC. Then they process it and then it appears in their data warehouse. And now we're able to adopt their QC protocols within our own platform and deliver the data to them much more quickly. >> And what does that enable to your business from an outcomes perspective? If you look at overall Snowflake as an engine what is it enabling and empowering IQVIA to accomplish? >> So it helps us partner with our customers in modern ways. So I'm saying we've been in the data business for 60 years. So it's sometimes it's a legacy behemoth that you need to bring along to modern times. And I think for us, the shift has been night and day in terms of Snowflake's capabilities. >> So you will build data based apps in the Snowflake data cloud? Is that, is that where you're headed? >> Yes. So we have several applications that we built natively on Snowflake that we offer to our customers. >> And what will that bring you that you kind of couldn't do before? >> That we couldn't do before? I think the the ability to, we talk a lot about how you spend 80% of your time cooking the data, right? Getting it ready for insights and only 20% of your time being able to to bring those insights forward and Snowflake, it really helps us flip that ratio so that we don't have to worry so much about the scaling and the infrastructure and the data sourcing. We can focus more on driving those insights and innovations. >> So Prasanna, we talk a lot about, you have this application stack over here and it sends a database over here and then you have an analytics stack. It seems like you're enabling those worlds to come together. Is that, is that by design? Is that more organic? Can you talk about that? >> Yeah. I mean, that is essential to our our mission and our value prop is to bring it together. It's one product, it's seamless and lets you do more with your data. Benoit talked today in the opening keynote about running multiple workloads on your data and the way you do that is by having one product that allows you to to run your data, data queries but also build applications that can run against that data. >> Katie, can you share a little bit about the partnership? We'll say collaboration that IQVIA has with Snowflake in terms of your ability to influence the roadmap in the direction. We heard a lot of customer stories in the keynote and they talked a lot about Frank Slootman did, Benoit, Christian. We are listening to our customers. Do you feel that as a, a customer for the last few years? >> Yeah, absolutely. So we have a really broad partnership with Snowflake. We're a customer. We have OEM licensing where we're building applications on top of Snowflake. We're an SI partner where we're marrying our data healthcare expertise along with Snowflake technology expertise and helping customers build and utilize the data internally and as well as just, if nothing else, the Snowflake data share in order to deliver the data into their environment. >> Prasanna, what do you look for in a data driver winner? Like what stood out about IQVIA and others that aspire to that, what should they be focused on? >> Yeah, I mean, you know, we ultimately think that in every business you have business needs that you're trying to solve and business is inherently collaborative. You never solve problems with just what you have within your own four walls. And IQVIA is an example of someone that's really enabling outcomes for healthcare companies to be much faster through live access to data. Which is what we want to accomplish for the data cloud, help our company, help our customers solve business needs. >> Every company has to be a data company these days, right? There's no, you have no choice. We talked about, you know, software eating the world a few years. Now we're talking about data eating the world. For organizations, it's in any any vertical healthcare, life sciences, retail, finance. It's essential to not just have data, live data access to it, to be able to extract insights from it that you can act on. Talk about what you are doing at Snowflake as a differentiator? Is that goal of becoming the defacto standard data platform and what that enables partners like IQVIA to accomplish? >> Yeah. It starts with our fundamental architecture, which allows you to collaborate and access data without creating copies of it or sending around copies and built on top of that now, the ability to build applications and to monetize them really enables our customers to do more with their data and to monetize it and to be able to distribute it without having to deal with all the plumbing. >> That's nice. That saves you a lot of time. What do you think when you, Katie, if you talk to people that are your peers in either healthcare or other industries, what are like the top couple of recommendations that you would have for them? We have a data problem. It's all a data problem. How do we actually leverage value from this fast so we can be competitive? >> Yeah. So I think if I were to advise someone who is thinking about commercializing their data set, when if they haven't before, you know, you have to think about good data governance protocols, good data cataloging. Make sure you're, you know, conforming to all of the privacy rules that you need to and overseeing the management of that data, any changes in the data, you know, delivering that both to internal and external customers. But I think, just a quick plug for Snowflake, what I would say on a personal level is that their partner first mentality really is a pleasure, makes it a pleasure to work with them and makes it really easy for us to enable our services through, through Snowflake. >> Frank Slootman talked about mission alignment this morning, kind of a mission I thought of, of aligning on with the missions of their customers and partners. It sounds like that's what Katie's talking about from a cultural perspective. You've got that alignment here? >> Yes, absolutely. You know, we work with our partners to enable our customers to drive business value and solve the needs of their industry. >> What are some of the things that you are excited about? Fourth Annual Summit. We, I, I said 7,000 plus people we'll get numbers kind of later on. What are you excited about finally being back in person? >> Yes, of course. >> Being able to access this hugely growing population of customers and partners, what excites you about this Summit 22? >> What excites me most is the fact that we are now enabling our customers to do more, to build applications which has been a big theme at Summit, but also to be able to distribute and monetize this. So as Frank talked about this morning, helping customers drive value and more value from, from their data. >> Critical. Katie, last question for you. If we look at all the,it was a very technical keynote this morning. You talked about the great partnership, the synergies the alignment that IQVIA has with Snowflake. What are you excited about in terms of hearing and seeing and feeling and touching this week at Summit? >> Well, yesterday we won an award for Data Marketplace. Marketplace Partner of the year for healthcare and life sciences. That was really exciting for us. It was great recognition for us in terms of how we've been able to modernize on the cloud. But I'm really excited to see how much the Snowflake business has grown as well. Our General Manager for information management was telling me, he said, when I come to this conference a couple of years ago it was only a few thousand people and now it's really, it's really grown and really taken off. And it's really exciting to see how many of the different partnerships are interacting and and that we're able to take advantage of as well. >> Yeah, I think we heard earlier this morning that the first summit four years ago was a couple thousand people. Now here we are eight, eight to ten. We've also seen, Persona, I mentioned some of the product revenue numbers for fiscal 23 Q1. I also noticed that in the last four years, the number percentage of customers with a million plus ARR is grown over 1200%. Number of customers is growing, the high value customers are growing. It seems like you're on a rocket ship here with Snowflake. Would you agree? >> Yeah. We're excited with all the value that we're bringing to our customers and the growth we're seeing. >> Dave: Yeah. Way to amp it up. >> Yeah, absolutely. >> Excellent. Ladies, thank you so much for joining us talking about the partnership with IQVIA and Snowflake. Congratulations again. >> Katie: Thank you. >> Katie, on IQVIA winning the data driver award, Data for good >> Great to hear what you're doing together and how you're enabling organizations in the healthcare industry to maximize the value of data. We appreciate your insights. >> Thank you. >> Dave: Thank you guys. >> Thanks. >> For our guests, Dave Vellante, I'm Lisa Martin. You're watching the Cube's live coverage from Las Vegas of Snowflake Summit 22. Stick around, Dave and I will be right back with our next guest.
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Manu Parbhakar, AWS & Bob Breitel, IBM | AWS re:Invent 2021
>>Welcome back. You're watching the cubes coverage of AWS 2021. We're here in the Venetian, formerly the sands convention center in Las Vegas. My name is Dave Volante. Really excited to have Bob bright tell here. He's the director of SAP global alliances at IBM and Manu.. I'm going to try that again. Pro boxcar, is that correct? Rebecca Head of Linux and IBM alliances at AWS Manu. I'm sorry for bashing your name, but at least I got it right, guys. Great to see you. Thanks for coming on. >>And I'm actually now AWS partnership. I had SAP before, so it's great. I first, my first reinvest, >>I have a old DNA title. That's great. That's why I was asking you about Philly before you don't have the accent though. Bob, >>I'm not a Philly native, so cowboy >>Because you have the SAP connection there. IBM, AWS. It's like, whoa, what's going on here? >>Well, maybe I'll start and then have my new, my new, make some comments. And I'll just start by just, uh, we're real excited to be here. IBM's a diamond sponsor at, at re-invent and it's great to be in person and really appreciate AWS being able to put this event on this week and get us back in person. It really makes a difference. And I know there's a lot of people virtually as well, but, um, IBM and AWS have worked together for a number of years. Uh, maybe we could characterize it more opportunistically, um, prior, but in the last 12, 18 months, I think there's been a lot of developments that have really made us come together strategically as partners. I know we'll talk a little bit about red hat during the course of the conversation, but with IBM's >>You say opportunities like you mean in the field and the more strategic >>Relationship or strategic and with IBM's open hybrid cloud strategy. And, uh, with so many of our clients preferring AWS is their cloud. Um, we are working together now to meet clients where they're at to help them get the value of the cloud. And we're talking a little bit about coming out of the pandemic before this. Um, and one of the things that we're seeing with our clients that IBM is a lot of that low hanging fruit. The cloud was achieved, maybe the lift and shift or doing some SAS based applications, but now it's even more important to rapidly adopt hybrid cloud and cloud technologies to provide your business with flexible innovation transformation, all of those things. So that's why it has been important for us to, to partner with AWS strategically. Um, our clients are telling us that when they do move those heavier workloads to the cloud and do it in a hybrid model, they see about two and a half times the value. >>So with that, our partnership is multi-dimensional, we're doing a lot with IBM consulting. My new we'll talk a little bit about IBM software and red hat. Just one example, Dave, with IBM consulting, we now are up to almost 10,000 certifications and 10 plus AWS competencies. So that competency chart that shows we're knocking them all out on the, on the checkerboard there to get them to IBM consulting competencies. And we just had the energy one announced this week. So IBM consulting is in area software's big too. In my news, been helping us with that part of the partner. >>Well, it's, you know, to your point, you can't pick whatever cliche you want. You can't fight fashion. The trend is your friend. You have a lot of, a lot of people want to be on AWS. So rather than fighting, oh, we have our own cloud. No, you've got to meet customers where they are, right >>David, this is where this takes us. You know, the analogy we use between Bob and I, IBM boss spoke about IBM consulting, which we know has been a strategic partnership for the last two, two and a half years. I think I'm going to share the best kept secret in the cloud phase right now. IBM software and AWS now are working together. The analogy we use is IBM software and AWS. I like peanut butter and jelly better together. And over the last 12 months, the two companies have accelerated working together around three key dimensions. Number one, around product, number two around making sure our customers, joint customers successful. And number three, around building a robust ecosystem of partners. One thing that we have realized is just helping customers modernize. Migrate is challenging. And on the product side, now we have about 15 products on AWS marketplace. >>I think about trusty or verify insecurity, cloud Pak for data, uh, uh, Cognos data DataStage over the next 12 months, we plan to land all of the cloud packs. These are containerized version of IBM software on AWS and the marketplace. In addition, many of our customers are now using the managed red hat, OpenShift servers. We launched it earlier in April. This year, we are seeing tremendous customer feedback, tremendous, uh, growth there that is also informing that customers really like the open shirt model managed services one-click deployment. And so our goal is over the next 12 months, launched many more IBM software as a managed service offering. So that's kind of like what we're doing on the product side, on the customer success. A great example is somebody is helping a big oil and gas customers managed with this energy transition that we're working through. Um, Schlumberger software around simulation runs on OpenShift on Amazon in a hybrid environment, especially critical as we have a lot of oil and gas data that needs to have maybe sit on premises, uh, because of data residency requirements. >>I think the third piece is around building an ecosystem of partners for our red hat OpenShift services, which we launched April. We already have 30 partners that are helping customers not only to modernize, but to migrate on AWS. We know modernization is challenging, moving to containers is difficult. So we need this robust ecosystem of partners and Bob and I, and you know, the IBM and AWS team are investing heavily. We have cash credit to do financial incentives plus also technical content so that our customers so that our partners can help customers to be successful. Yeah, >>So the cloud packs are cool. That makes a lot of sense. And now the acquisition of red hat makes it easier. It's a catalyst gets IBM, much more closely aligned to developers and it makes it easier for things like cloud packs to be migrated to the cloud and being running cloud native. How did that acquisition affect from your standpoint menu and Bob I'd love your thoughts and your relationship. >>The red hat acquisition by IBM is a net positive red hat. And AWS have been working together for 14 years now. And we have tens of thousands of customers that are running mission critical workloads, such as SAP, Oracle databases. And there's a lot of trust that is engendered by working in the field for 14 years, uh, supporting mission critical customers, mission critical workloads. And so that relationship has provided a lot of tailwinds to our partnership with IBM software. I think a lot of the stuff we spoke about a lot of the progress you've made in the last six to eight to 12 months, a big function is that the trust that we have engendered working together with red hat. >>Yeah. I'll add Dave that, um, I, I agree with my new comments on the red hat. Red hat really is the epitome of openness right. Of open source software and the history that Manu described with AWS, there has been excellent adoption of red hat on AWS, red hat, enterprise Linux, and then most recently, um, red hat OpenShift on AWS. And just to give another example to the ecosystem point, just this morning, red hat with IBM, with a major ISV named Solonus announced that Solonus will be running one of their key, uh, applications and releasing it on Rossa on AWS. And all this means for our clients is faster adoption and acceleration and being able to innovate, um, in a hybrid way. So that's really the value that red hat is helping, um, to bring to the table in our cloud packs are available on open shift and rose as an option as well. So we're excited about the red hat partnership. It's really essential to our partnership into our, our hybrid cloud strategy. >>You mentioned up front, you know, happy that AWS decided to have this show. Of course, a lot of people watching online and you can get massive scale online, but there's nothing like the live event, you know, and when you make announcements at a live event, there's a little buzz going on and you get feedback. So are you making any hard news here? What, what announcements can you >>Share? Yeah, well, the one we had, um, on, um, uh, Solonus earlier with red hat and to do roasts on top of red hat was one and there's just an advance of, um, of re-invent. Um, we announced something in the data and AI space. So that's another big area of our partnership is data and AI. So we're in, we announced that in the oil industry and in the, um, uh, in that area that we are partnering together with AWS to be able to get insights on data so that we could get clean and reusable energy solutions out there. And there's so much untapped data. We know data is such an important resource, that that's an area that we're going to partner on with our cloud Pak for data on AWS. And of course underlying everything is open shifts. So that's one big announcement. We're also doing a lot in security for IBM and my news has been working closely with this. So my new, I, I know you're close to the integrations we're doing with AWS. So I'll let you comment maybe on some of the things in security. >>I mean, everybody's a security company these days, right? I mean, >>And then we continue to work and making sure that a lot of the IBM security products are integrating with our native services. So the customers have a seamless experience. And as he you'll see a lot of the same investments happening over 2022 as we grow the >>Partnership. So what like a QRadar or something like that >>Are, for example, integrating with security hub. That would be great example. >>I mean, it's the, it's the number one topic for CEO's that has been for a while and still will be okay. So give us a little roadmap, you know, maybe Bob, you could start, where do you want to see this relationship go? Um, what can we expect in the, in the coming 12 months? Yeah, well, >>Again, we're super excited about our partnership with AWS. I think we're just scratching the surface of how we're going to add value to our clients on this, on this hybrid cloud journey that they're all going through. And IBM, and this has been in our financial reports and in our earnings and everything, we're investing over a billion dollars in the ecosystem. And so partners like AWS are critical to provide that platform of growth for our clients and innovation for our clients. So all of the things that I talked about in money talked about today, whether it be our IBM consulting capabilities or our IBM software, our red hat, we're going to continue to invest. We talked about the red hat acquisition. IBM has made a few other acquisitions that help drive this partnership and drive value to our clients for adoption, from Instana to Turbonomic X, to some really innovative cloud consulting companies like Knorr cloud in towels. So we're going to continue to make investments. And I think we're just on the tip of the iceberg and we invite everybody at re-invent, either in person, which is exciting or virtually to learn more about our partnership and how we can help you and my new, any additional comments to that. >>Thanks, Bob V have a golden child hair with red hat OpenShift on Amazon. That'd be launched in April. We are seeing tremendous customer adoption. So we suspect that in next year, we'll continue to see solid adoption around red hat OpenShift. That VocaliD is also informing how customers want a more native experience for IBM software on AWS. And so we, um, we are targeting to, to launch many more IBM software in a native format on edema. So that would be the big team for next year. Uh, in addition, again, I'll call to action to our partner community. There's a huge opportunity to help our joint customers to modernize and migrate on AWS via both IBM, AWS are leaning in, we have cash credit to give financial incentives to partners, to help our customers, to migrate and modernize as well as we are also creating a lot of technical content that is not freely available so that a lot of our partners can start this. IBM focus on AWS practice >>Guys. Thanks so much for coming on the cube. Congratulations, and look at, you know, I often say the next 10 years is not going to be like the last 10 years. The cloud is expanding is a really good example. So thank you for your time. Appreciate your time. All right. You're watching the cube, the leader in high tech coverage at AWS reinvent 2021
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We're here in the Venetian, And I'm actually now AWS partnership. don't have the accent though. Because you have the SAP connection there. of the conversation, but with IBM's Um, and one of the things that we're seeing with And we just had the energy one announced this week. Well, it's, you know, to your point, you can't pick whatever cliche you want. on the product side, now we have about 15 products on AWS And so our goal is over the next 12 months, launched many more IBM software as a managed So we need this robust ecosystem of partners and Bob and I, and you know, And now the acquisition of to eight to 12 months, a big function is that the trust that we have engendered working together with So that's really the value So are you making any hard news here? to be able to get insights on data so that we could get clean and reusable energy And then we continue to work and making sure that a lot of the IBM security products are integrating with our native So what like a QRadar or something like that Are, for example, integrating with security hub. So give us a little roadmap, you know, maybe Bob, you could start, where do you want to see this relationship So all of the things that I talked about in money talked about today, whether it be our IBM So we I often say the next 10 years is not going to be like the last 10 years.
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Max Peterson, AWS | AWS Summit DC 2021
(high intensity music) >> Everyone, welcome back to theCube coverage of AWS, Amazon Web Services, Public Sector Summit live in D.C. We're in-person, I'm John Furrier, the host of theCube. I'm here with Max Peterson, the Head of Public Sector, Vice President. Max, great to see you in in-person event. >> Great to be here. We're in-person and we're also live streaming. So, we're here, however customers, however partners want to participate. >> I got to say, I'm very impressed with the turnout. The attendance is strong. People excited to be here. We're not wearing our masks cause we're on stage right now, but great turnout. But it's a hybrid event. >> It is. >> You've got engagement here physically, but also digitally as well with theCube and other live streams everywhere. You're putting it everywhere. >> It's been a great event so far. We did a pre-day yesterday. We had great participation, great results. It was about imagining education. And then today, from the executive track to the main tent, to all of the learning, live streaming 'em, doing things in person. Some things just don't translate. So, they'll won't be available, but many things will be available for viewing later as well. So all of the breakout sessions. >> The asynchronous consumption, obviously, the new normal, but I got to say, I was just on a break. I was just walking around. I heard someone, two people talking, just cause I over walk pass them, over hear 'em, "Yeah, we're going to hire this person." That's the kind of hallway conversations that you get. You got the programs, you got people together. It's hard to do that when you're on a virtual events. >> Max: It's hard. The customers that we had up on stage today, the same sort of spontaneity and the same sort of energy that you get from being in-person, it's hard to replicate. Lisa from State of Utah, did a great job and she got an opportunity to thank the team back home who drove so much of the innovation and she did it spontaneously and live. You know, it's a great motivator for everybody. And then Lauren from Air force was phenomenal. And Suchi, our "Imagine Me and You" artist was just dynamite. >> I want to unpack some of that, but I want to just say, it's been a really change of a year for you guys at Public Sector. Obviously, the pandemic has changed the landscape of Public Sector. It's made it almost like Public-Private Sector. It's like, it seems like it's all coming together. Incredible business performance on your end. A lot of change, a lot of great stuff. >> We had customers we talked today with SBA, with VA, with NASA, about how they just embraced the challenge and embraced digital and then drove amazing things out onto AWS. From the VA, we heard that they took tele-health consultations. Get this from 25,000 a month to 45,000 a day using AWS and the Cloud. We heard SBA talk about how they were able to turn around the unemployment benefits programs, you know, for the unemployed, as a result of the traumatic impact of the COVID-19 pandemic in a matter of weeks. And then, scaled their systems up just to unbelievable heights as President Biden announced the news. >> You had a lot of announcement. I want to get to a couple of them. One of them was the health equity thing. What is that about? Take us through that announcement. >> So the pandemic, it was hard. It was traumatic in a lot of different ways. It also turned into this little innovation laboratory, but one of the things that it laid bare more than anything else where the inequities associated with some of these systems that had to spring into action. And in particular, in the space of health, healthcare equity. We saw simply communities that didn't have access and weren't included in the same sorts of responses that the rest of the community may have been included in. And so we launched this global initiative today to power health equity solutions. It's a $40 million program. Lasts for three years. And it's open to customers or it's open to partners. Anybody who can contribute to three different areas of health equity. It's people who are leveraging data to build more equal, more sustainable health systems. Is people that are using analytics to do greater study of socioeconomic and social situational conditions that contribute to health inequities. And then finally, it's about building systems that deliver more equitable care to those who are underserved around the world. >> So, just to get this right, 40 million. Is that going to go towards the program for three years and are you going to dolo that out or as funding, or is that just a fund the organization? >> It's actually very similar to the development diagnostic initiative that we ran when COVID hit. We've launched the program. We're welcoming applications from anybody who is participating in those three developmental areas. They'll get Cloud credits. They'll get technical consulting. They may need professional services. They'll get all manner of assistance. And all you have to do is put in an application between now and November 15th for the first year. >> That's for the health equity? >> For the health equity. >> Got it. Okay, cool. So, what's the other news? You guys had some baseline data, got a lot of rave reviews from ACORE. I interviewed Constance and Thompson on the Cube earlier. That's impressive. You guys really making a lot of change. >> Well, you're hundred percent right. Sustainability is a key issue from all of our customers around the world. It's a key issue for us, frankly, as inhabitants of planet earth, right? >> John: Yeah. >> But what's really interesting is we've now got governments around the world who are starting to evaluate whether they're not their vendors have the same values and sustainability. And so that the AWS or the Amazon Climate Pledge is a game changer in terms of going carbon zero by 2040, 10 years ahead of most sort of other programs of record. And then with ACORE, we announced the ability to actually start effecting sustainability in particular parts around the world. This one's aim at that. >> But the key there is that, from what I understand is that, you guys are saying a baseline on the data. So, that's an Amazonian kind of cultural thing, right? Like you got to measure, you can't know what you're doing. >> The world is full of good intentions, but if you want to drive change at scale, you've got to figure out a way to measure the change. And then you've got to set aggressive goals for yourself. >> That's really smart. Congratulations! That's a good move. Real quick on the announcement at re:Invent, you've talked about last re:Invent, you're going to train 29 million people. Where are you on that goal? >> Well, John, we've been making tremendous progress and I'm going to use theCube here to make a small teaser. You know, stay tuned for our re:Invent conference that comes up shortly because we're actually going to be sharing some more information about it. But we've done digital trainings, self-training, online skills workshops. We just took a program called re/Start, which serves an unemployed or underemployed individuals. We launched that around the world and we're really excited. Today, we announced we're bringing it to Latin America too. So we're expanding into Colombia, Mexico, Peru, Brazil, and Argentina. And the amazing thing about that re/Start program, it's a 12 week intensive program. Doesn't require skills in advance. And after 12 weeks, 90% of the people graduating from that course go right onto a job interview. And that's the real goal, not just skills, but getting people in jobs. >> Yeah. The thing about the Cloud. I keep on banging the drum. I feel like I'm beating a dead horse here, but the level up, you don't need to have a pedigree from some big fancy school. The Cloud, you can be like top tier talent from anywhere. >> And you heard it from some of our speakers today who said they literally helped their teams bootstrap up from old skills like COBOL, you know, to new skills, like Cloud. And I will tell you, you know, right now, Cloud skills are still in a critical shortage. Our customers tell us all the time they can use every single person we can get to 'em. >> I'm going to tell my son, who's a sophomore in CS. I'm like, "Hey, work on COBOL Migration to AWS. You'll be a zillionaire." (John and Max laughs) No one knows what the passwords of the COBOL. I love that 80s jazzy jokes from two re:Invents ago. (John laughs) I got to ask you about the National-Local Governments, how they're monetizing Cloud of the past 18 months. What have you seeing at that level? >> Yeah. National and Local Governments, of course, were tremendously impacted first by the pandemic itself and the health concerns around it, but then all of the secondary effects, you know, unemployment. And immediately, you needed to put into action unemployment benefits systems. We work with the U.S. Small Business Administration, 15 other States across the U.S. You know, to have those systems in place in like weeks to be able to serve the unemployed as a result of the COVID-19 pandemic. Then you saw things progress, to the point where we had States across the country, standing up call centers on Amazon Connect. Instantly, they could have a high scalable volume call center that was situated for their instantly remote workforce, as opposed to their old call center technology. So, across the U.S. we saw those. And in fact, around the world, as governments mobilized to be able to respond to citizens. But the final thing that I think is really incredible, is though is the way that the AWS teams and partners sprung into action to work with National Governments around the world. Over 26 National Governments run their vaccine management scheduling systems on AWS. The largest to date, being in India, where in a single day, the vaccine management system scheduled and conducted 22.5 million vaccinations. Which is more than the population of New York State in one week and one day. >> Wow. That's good. That's great progress. I got to say, I mean, that kind of impact is interesting. And we had Shannon Kellogg on earlier, talking about the Virginia impact with the Amazon $220 million being spread over a few Counties just in one year. The partnership between business... and governments with the Cloud, so much more agility. This really strikes at the core of the future of government. >> Max: I think so. People have talked about private-public partnerships for a long time. I'm really proud of some of the work that Amazon and the whole team is doing around the world in those types of public private partnerships. Whether they're in skilling and workforce with partnerships, like eight different States across the U.S. to deliver skills, training through community college based systems. Whether it's with healthcare systems. Like NHS or GEL over in the UK, to really start applying cloud-scale analytics and research to solve the problems that eventually you're going to get us to personalized healthcare. >> That's a great stuff. Cloud benefits are always good. I always say the old joke is, "You hang around the barbershop long enough, you'll get a haircut." And if you get in the Cloud, you can take advantage of the wave. If you don't get on the wave, your driftwood. >> And States found that out, in fact. You'd have customers who were well on their journey. They were really able to turn on a dime. They pivoted quickly. They delivered new mission systems with customers. Those who hadn't quite progressed to the same state, they found out their legacy. IT systems were just brittle and incapable of pivoting so quickly to the new needs. And what we found, John, was that almost overnight, a business, government, which was largely in-person and pretty high touch had to pivot to the point where their only interaction was now a digital system. And those who- >> John: Middle of the day, they could have race car on the track, like quickly. >> Well, we've got it. We do have race cars on the track, right? Every year we've got the artificial intelligence powered Amazon DeepRacer and Red River on the track. >> I can see it. Always a good showing. Final question. I know you got to go on and I appreciate you coming on- >> It's been great. >> with all your busy schedule. Looking ahead. What tech trends should we be watching as Public Sector continues to be powered by this massive structural change? >> Well, I think there's going to be huge opportunity in healthcare. In fact, this afternoon at four o'clock Eastern, we're talking with Dr. Shafiq Rab from Wellforce. He and folks at Veterans Affairs to tell you telehealth and telemedicine are two, the areas where there's still the greatest potential. The number of people who now are serviced, and the ability to service a population far more broadly dispersed, I think has dramatic potential in terms of simply making the planet more healthy. >> Like you said, the pandemics have exposed the right path and the wrong path. And agility, speed, new ways of doing things, telemedicine. Another example, I interviewed a great company that's doing a full stack around healthcare with all kinds of home, agents, virtual agents, really interesting stuff. >> It is. I think it's going to change the world. >> John: Max Peterson, Head of Public Sector. Thank you for coming on theCube, as always. >> John, it's my pleasure. Love the cube. We've always had a good time. >> Yeah. Great stuff. >> Peter: We'll keep on making this difference. >> Hey, there's too many stories. We need another Cube here. So many stories here, impacting the world. Here at the Amazon Web Services Public Sector Summit. I'm John Furrier, your host. Thanks for watching. (soft music)
SUMMARY :
Max, great to see you in in-person event. Great to be here. I got to say, I'm very and other live streams everywhere. So all of the breakout sessions. the new normal, but I got to and the same sort of energy that you get Obviously, the pandemic of the COVID-19 pandemic You had a lot of announcement. And in particular, in the space of health, or is that just a fund the organization? 15th for the first year. Thompson on the Cube earlier. around the world. And so that the AWS or baseline on the data. but if you want to drive change at scale, Real quick on the We launched that around the world but the level up, you don't And you heard it from Cloud of the past 18 months. And in fact, around the world, of the future of government. of the work that Amazon I always say the old joke is, so quickly to the new needs. John: Middle of the day, on the track, right? I know you got to go on and as Public Sector continues to be powered and the ability to service a population and the wrong path. going to change the world. Head of Public Sector. Love the cube. Peter: We'll keep on So many stories here, impacting the world.
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Todd Carey, Cognizant, and David Sullivan, Elizabeth River Crossing | AWS PS Partner Awards 2021
>>from the cube studios in Palo alto in boston connecting >>with thought leaders all around the world. This is a cute conversation. Hello and welcome to today's session of the 2021 AWS Global public sector Partner awards. I'm your host, Natalie ehrlich. Today we'll discuss the award for the most customer obsessed mission based win for state and local government. I'm pleased to introduce our guests for today's session Todd, Carey, Global Head West Business group Cognizant and David. Sullivan chief executive officer of Elizabeth river crossings. Thank you gentlemen for joining the program. >>Thanks >>Thanks Todd. >>I'd love to start with you. How are companies thinking about cloud today in their businesses? >>Well, there's some, some really exciting developments but at the heart of a cloud is changing the way companies interact with their customers, their suppliers and the way they think about business. And at cognizant it is really a customer first customer centric approach and then we work our way back to a solution. But most of the time, cloud decisions are not really made from a cost optimization or cost take out point of view. They're made from a customer experience or a business driver point of view. And how do we make businesses better? More, more scalable, more agile, more flexible and we've really built some some really great solutions that are industry specific and we've loved working with the R. C. In this capacity. >>How about you? I'd love to get your insight. Um As well. David, what what what do you see is like the main challenges and also how next gen technologies like you know, five G. Can help alleviate in those issues. >>Um Yes. First, it, like Todd said that, you know, the customer has an expectation and that expectation is raised every day by what they experienced in every other channel they work in and shop in and whatever they're doing so, so expectations are always increasing from the customer side, responsiveness personalization. They want to see all of that in everything they do, including paying their told bill. Um, and so I think as technology has changed, you know, tolling has kind of come from technology that is really 2030 years old or older. Uh, two more of a modern influence. And today we use R. F. I. D. Tags that are embedded in things like EZ Pass. But in the future it will be, it'll be your, your mobile device or your automobile itself that that triggers a total transaction and helps us process it and making in a way that is fast, convenient and most importantly accurate. >>Yeah. Well staying with you, David, I'd love to hear how working with AWS helped modernize your systems and as well as if you could give us some insight on your tracking systems. >>Yes. So with AWS, we have been working with Cognizant. Cognizant is our tolling subcontractor. So they are responsible for providing our tolling system. And we had what I would call a typical legacy tolling system. We had to data centers, both of them located pretty close together, a primary and a redundant data center and both of them very close to flood prone areas. And in our location in the southeast corner of Virginia were very vulnerable to tropical storms and tidal flooding. So part of our concern was, you know, we're exposed all our infrastructure, all our tolling infrastructure is exposed. So as we began to pursue a cloud strategy, uh the first idea was just to lift everything out of our environment and move it to a W. S. And Cognizant pull that off in about three months, uh which is really pretty incredible and we never missed a beat. Uh You know, we did it over a three day holiday weekend, but from a business transaction standpoint it all flowed once in the cloud. We began to rethink now that we're out of these legacy hardware environments, How do we get out of the legacy application environment and embrace what the cloud enables and working closely with Cognizant who had a great vision for how this could be achieved. We were able to, you know, systematically move through and migrate to a cloud first cloud oriented uh system. And uh you know, it's given us lower cost, increased availability and most importantly for our customer service agents that deal with customers or customers that deal with the web, it's given them a better experience uh shorter call times, better information and you know, and and frankly better customer satisfaction. >>Terrific. Well, thank you for that Todd. Let's shift to you. What do you see as the next phase of this digital transformation process? >>Well, as David hidden, I think it's an important theme of cloud first. I mean most companies in our clients start with that cloud forest, cloud native mentality. But for cognizant, our cloud approach is really customer first and being able to start with the client in mind and then work our way back into a technology staff or into a scalable solution. But specifically for the coal industry, there's a lot of things that are needed around revenue, predictability and looking at potential leakages. But as we hit on already of making sure that we're really delivering a great customer experience. And so with our solution, as we expect our tolling solution to really grow, we're keeping it cloud native, we're keeping it modular in nature and integration ready. So for example, are total customers can use their own roadside solutions or hand picked some of the small back office modules that they want to use. It's always going to be purpose bill and align to our customer and we see nothing but growth in this segment. It's very exciting. >>Yeah. Terrific. Well, David, you know, now that you've actually implemented this, what do you see as the next phase? What is your vision um for the future for your business in 2021? >>Well, I think, you know, for for us moving forward, um you know, we've been in this uh as Todd said, kind of a modular approach, which is great because you can make the changes and really manage your risk while you're making them. Um so you're you're moving small things. Whereas traditionally new systems meant massive investments, long, long time implementation times and you know, all in cut overs, all of which are packed with risk. So, you know, we want to reduce our risk and the solution that we have being cloud native allows us to really incrementally and quickly, just continually to improve the system. So you know, on our forecast, we would like to have a better insight into our customers and you know, support a direct app, Annie R. C. App that would allow our customers to interact with us and give us a better view of the customer um and a better experience for the customer overall. But you know, we, our goal is to build that total transaction accurately fairly. And then if the customer has an issue to be able to treat them in a way that uh that they feel respected and and valued as a customer because we we do look at it that way. >>Yeah, Terrific. I mean obviously, you know, engagement such an important issue in this area. Now I'd like to shift gears and here a little bit more about, you know, what are some of the other applications that cognizant could provide beyond tolling and let's shift this to Todd? >>Well, David had done a little bit, there's there's a lot of when we start to focus on the customer, there's a lot of opportunity there on the front side. So mobile apps, websites, the synchronization of data, but then also the way that we support that customer interacting with that data. Things like I've er automating, call centers, being able to support that customer through the entire chain of custody. There's some new and exciting applications now that we come out and David touched on a little bit too in terms of vehicles. So the vehicles to everything type motion. That's an exciting development in this segment as well to be able to continually integrate everything that's in the customer ecosystem. So whether that's uh, the, the need to pay a bill or be able to drive a car through a gate and be able to simply not touch anything but be able to have that all the way that payment process all the way through and have clear visibility into usage and insights. And then also be able to turn all that data over to a company like er, C to make good decisions based on what they see in terms of buying patterns, consumption, etcetera. There's a lot of expansion going on in this and the greatest part about this is it's built on the AWS platform. So when we architect something in a cloud native way, we can rapidly expanded and we can really streamline the investment required to jump start any kind of innovation and best of all our customers in keeping with the best model, really only pay for the actual traffic that they use so we can keep those long term costume. >>Yeah. Well, excellent point. Thank you both gentlemen for joining our program. Really loved having you. And uh, you know, that was Todd, Cary and David. Sullivan. Excuse me. And I'm your host, Natalie or like, Thank you for watching. >>Mm hmm. Mm.
SUMMARY :
Thank you gentlemen for joining the program. I'd love to start with you. And how do we make businesses better? you know, five G. Can help alleviate in those issues. has changed, you know, tolling has kind of come from technology that is really as well as if you could give us some insight on your tracking systems. And uh you know, it's given us lower cost, increased availability Well, thank you for that Todd. first and being able to start with the client in mind and then work our way What is your vision um for the future for your business in 2021? into our customers and you know, support a direct app, Now I'd like to shift gears and here a little bit more about, you know, what are some of the other applications And then also be able to turn all that And uh, you know, that was Todd, Cary and David.
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RH11 Roberto Calandrini V1
(upbeat music) (upbeat music) >> Hello, and welcome back to theCUBE's coverage of Red Hat Summit 2021 virtual. I'm John furrier, host of theCUBE We've got a great segment with a customer Roberto Calandrini, Head of Architecture, Digital and AI services for Snam customer need to leak oil and gas and AI services for Snam customer need to leak oil and gas great industrial IOT and digital transformation. Roberto, thank you for coming on the cube and spending the time. >> Hi, John. Good to see you. Thank you for inviting me. >> That's awesome. Before we get started, I love the story and again I think security edge and in, in in disease industry for disruptions is huge story here. But before we get started, talk about Snam. Give me a quick overview of Snam, who you guys are. What's your focus customers you have and your role there. >> Of course. So it was not is one of the major global energy infrastructure company and is managing a international and a national asset specifically and a national asset specifically in the natural gas utility segment. There's what the story Kelly Snam did. And it recently positioned itself as a leader of the energy transition, investing a lot in startups of the energy transition, investing a lot in startups mostly focused on, for example, H2 so hydrogen, these the very recent topic, bio Nathan with numb for environment sustainable mobility, energy efficiency, and reforestation. So we kind of So we kind of expanded our core businesses in terms of positioning ourselves much more within the energy transition segments and still developing a lot, what we used to do in the natural gas, in the natural gas industry. And my role there is, as you said, Head of Architecture And my role there is, as you said, Head of Architecture Digital and AI Services. So I'm basically responsible for managing the entire technology stack of Snam and focusing a lot on developing artificial intelligence services for our business lines. >> That's awesome. Well, thanks for sharing that. Let's talk about the digital transmission you've been rearchitecting. You guys redesign your applications map impacting your architecture from the data center to the edge recently, even the center of that your responsibility for the business. What were the business drivers and objectives for you to reach that transformation goal and target? >> Yeah, thanks for, for the question. So they basically, we were mainly interested in exploiting three main three main objectives with our transformation. The first was very much related to our business strategy. So having a more agile So having a more agile and flexible digital architecture that will still on one one end provide us with the reliability that we need in order to sustain our business critical application. And on the other end, provide the agility And on the other end, provide the agility and flexibility the speed in some sense that our new business line will lead in order to succeed. So let's say speed and agility. The second one was a focus on platformization and servitization of our industry specific application. So what we used to develop, as So what we used to develop, as let's say, very focused full stack application now, thanks to the modern architectures can be developed on top of platforms or using microservices. on top of platforms or using microservices. And that will apart from providing us agility And that will apart from providing us agility and flexibility will give us more alignment will give us more alignment between what we invest. So the cost of our software development efforts So the cost of our software development efforts and the business value we derive and the business value we derive from the software we produce basically. >> John: Can I... >> So I focus on value. >> Can I ask you real quick on the business drivers? Can you talk about the impact of domain expertise? One of the trends we're seeing is you want to scale of cloud and having an architecture that's going to enable value creation and customer value for your customers but in these vertical disruptions these new opportunities in these industries like you're a very specialized industry get natural gas and you still need that domain expertise if you want to tap in and advantage of the AI. >> Absolutely. >> Can you share your vision on how you're doing that and how that relates to the business driver? >> Yeah. So let's say that this is very, very aligned with >> Yeah. So let's say that this is very, very aligned with with our strategy that focuses with our strategy that focuses on platformization servitization. So if you think So if you think about how we can explore the best, the value of our people so our industry specific expertise, there are two main ways. The first is to build from scratch as we used to do The first is to build from scratch as we used to do in the past full stack applications that are really focused on a specific, this specific need of a business line. And so focused on the business side of the industry or we can leverage modern architecture and develop services that serve that specific need. and develop services that serve that specific need. So this will let us basically being able to So this will let us basically being able to So this will let us basically being able to satisfy our internal customer. So our internal clients and the business need and at the same time, being able to use that software so that service for an external customer or potential potentially for, for our peers. So in order to provide value exploiting our business expertise, in order to, for example you cited AI using what we developed as an AI system, for example, for two in order to solve demand for customer problems and provide that same business value for, for for other companies that are are they share our same business need. >> Yeah. It's a data workload. I mean, it's at the end of the day you need the data >> Exactly. >> and that's going to come back. I want to unpack the data workload when we talk about the edge, but real quick, I want to talk about the role red hat played in your journey to execute your architecture and transformation. Can you share how Red Hat helped you in this? >> Sure. So let's say that, you know, >> Sure. So let's say that, you know, it all began in two, 2018. it all began in two, 2018. When we started to set up our cloud readiness map When we started to set up our cloud readiness map in order to assess what we will, we'll be able to transform. in order to assess what we will, we'll be able to transform. So scale lift and shift or refactor of of our application map into a modern architecture application. into a modern architecture application. So this cloud readiness journey started So this cloud readiness journey started with assessing the level of modularity with assessing the level of modularity with assessing the level of modularity in some way of some of our main applications. And what we started to do is to develop the first blueprints in order to start to develop new system in order to start to develop new system and new application on a cloud native framework and new application on a cloud native framework and Red Hat really Apple with this but providing a container orchestration platform OpenShift on which we started to build up our new, our new application, that up our new, our new application, that so the cloud native application by application map so the cloud native application by application map then in 2019, we started to accelerate this then in 2019, we started to accelerate this let's say moving to a CNA environment journey. let's say moving to a CNA environment journey. let's say moving to a CNA environment journey. And we started to move the first 10 to 20% And we started to move the first 10 to 20% of our workload on the platform as a service environment. of our workload on the platform as a service environment. So an OpenShift and this is something that we are still doing while at the same time, developing different project at the same time, developing different project that tries to turn what we used to have developed that tries to turn what we used to have developed as custom application toward platforms. as custom application toward platforms. So we are basically transforming our application map leveraging the power for what regards to the customer application of modern architectures. So microservices bays So microservices bays and the container orchestration platform provided by Red Hat OpenShift. And at the same time the other main technological driver is platform migration. the other main technological driver is platform migration. So with basically trying to leverage, especially for the processes that are already very standardized. for the processes that are already very standardized. So usually corporate processes. So staff SEF function processes what we're doing there is to build on top of very what we're doing there is to build on top of very let's say industry standard platform. I don't want to, to provide you with names but you can imagine most but you can imagine most of them are software as a service platforms. And this is really happiness because we are as a target. And this is really happiness because we are as a target. We are, we have as, as a target for 2022 to basically have the number for 2022 to basically have the number of application with respect to the number of application our application map of 2018. our application map of 2018. >> So big, big step increase in applications. >> Yeah, yeah, yeah >> That's great. That's cool. And then the ecosystem of energy efficiency and aiming for lower carbon emissions that's a goal you guys are helping with. How is Red Hat helping in the ecosystem in your ecosystem? Do you see them going above and beyond? >> You know, the, for what regards to new business lines? I think that the container orchestration platform I think that the container orchestration platform so OpenShift would provide us with the right level so OpenShift would provide us with the right level of flexibility and agility to move of flexibility and agility to move at the speed of those businesses. That is quite different with respect to our classical ones and frequently needs a much higher speed of development. and frequently needs a much higher speed of development. >> Yeah. Awesome. Well, that's great. Great to see that success with Red Hat let's let's shift gears to the topic of the edge. >> Yeah We've been reporting on Silicon angle industrial edge for many years now. And we were calling out the security potential there as risky, obviously it's, it's it's industrial there's you also got generic edge which is consumer edge and everything in between the edge is just part of the network. And you think about this, this is important for you are what are you doing for you are what are you doing with the edge and IOT from a use case standpoint? What have you already done? And what are you planning to deploy soon? Take us through your, your edge IOT use case how it is today and how you see it tomorrow. >> So let's say that Snam has long OT history that basically started that Snam has long OT history that basically started at the very beginning of our SCADA system. So what we have right now is quite complex Brown So what we have right fields situation for what regards edges and gateways fields situation for what regards edges and gateways fields situation for what regards edges and gateways and technical component that resides on, on the field. and technical component that resides on, on the field. So you can, you, you, you must consider that the Italian network is for the modern that the Italian network is for the modern modern 34,000 kilometers and modern 34,000 kilometers and as many different plants, small, medium, and as many different plants, small, medium, and and large plants spread across the country. and large plants spread across the country. And what we are trying to do leveraging also Red Hat technologies among with Red Hat technologies among with with others is trying to get the benefit with others is trying to get the benefit of containers and microservice development. So the benefit coming from cloud native application and getting those to the edge. from cloud native application and getting those to the edge. So the usual problem So the usual problem with OT as historically been a standardization with OT as historically been a standardization so a very heterogeneous number of components Virginia's protocols of components Virginia's protocols in order for them to communicate with the charters and relatively low level of security. with the charters and relatively low level of security. This is, this was mainly due to the segregation principle This is, this was mainly due to the segregation principle physical segregation principle that used to physical segregation principle that used to dominate the OT field with IOT. Of course, as you were saying we are terrifically expanding the attack surface we are terrifically expanding the attack surface from the cybersecurity standpoint, but at the same time that is mainly why we are approaching that is mainly why we are approaching in a very structural way. Our technology stack implementation including security by design in all our architectural blueprints and implementation. And we strongly believe that pushing the capability And we strongly believe that pushing the capability of container orchestration and containerization to the edge and being able to orchestrate that from the cloud or from our data centers will provide us with a very high level of high-quality and flexibility and the capability to exploited best the geographical distribution of the data. to exploited best the geographical distribution of the data. You know, you were saying a center point will be You know, you were saying a center point will be was soaked around data, and it is correct, but it in our specific case, our data basically came from points in our specific case, our data basically came from points in our specific case, our data basically came from points as I was saying, spread it all across the country. So having different data, gravity points enabled So having different data, gravity points enabled by container rise and centrally orchestrated by container rise and centrally orchestrated by container rise and centrally orchestrated environments will enable us to get the best also environments will enable us to get the best also in terms of, from the cybersecurity perspective because what will be acquired on the centralized environment is only exclusively on the centralized environment is only exclusively what is needed at the centralized environment. what is needed at the centralized environment. All the rest on our target architecture will be entirely elaborated on the field, very close to where the data physically on the field, very close to where the data physically and this will be excludable exclusively enabled by by a containerized approach. >> That's awesome. Great, great. A use case there, Roberto, what's next A use case there, Roberto, what's next for your future plans and your technology journey? Obviously AI is going to be very important and data and leveraging that you've got the core cloud data center edge perspective. >> Yeah, of course. Yeah. What, what, what's next? >> What's your future? Let's say, let's say that what we currently implemented is Let's say, let's say that what we currently implemented is and in average cloud environment so we basically have two data center and one cloud tenant, our infrastructure due to, again and one cloud tenant, our infrastructure due to, again and one cloud tenant, our infrastructure due to, again the use of OpenShifts will be easily extensible the use of OpenShifts will be easily extensible the use of OpenShifts will be easily extensible to other potentially to other cloud providers. So we will move, we're evaluating the move to a multicloud So we will move, we're evaluating the move to a multicloud a hybrid multicloud environment. At the same time our main focus right now is to close our IOT foundation. our main focus right now is to close our IOT foundation. And within the IOT foundation I think the main focus right now is on gateways and edges. I think the main focus right now is on gateways and edges. As you were saying, these are quite complex components As you were saying, these are quite complex components and must be greatly evaluated, especially from the cybersecurity standpoint and last from the cybersecurity standpoint and last but not least the data we need to. but not least the data we need to we started our data platform journey and we currently are acquiring data from legacy systems and we currently are acquiring data from legacy systems different kinds of legacy system and SCADA system. What we would like to reach is a complete IOT What we would like to reach is a complete IOT What we would like to reach is a complete IOT acquisition system that will be directly connected to our components, acquiring data on the field. Right now we are in, let's say Right now we are in, let's say in the middle of this digital transformation and we are hemming to close our and we are hemming to close our our journey in the next couple of years. >> That's great, Roberto, great story. Love the conversation. First of all, I love your title Head of Architecture, Digital AI Services. I mean, that speaks to this modern error of, of, of cloud distributed computing. You hit all the hit, all the key things, right? It's an architectural system distributed system. It's a digital business. Now, even though there's physical assets offline, online coming together in a modern way and AI really speaks to the underlying data which is combination of many, many things, you know you're you get all the action there. >> Roberto: Yeah! >> How do you feel? What's your advice to other people in the same boat you're in? >> No, I, I think that, that the interesting part of what we do that the interesting part of what we do at least in, in my specific area, and this is what digital at least in, in my specific area, and this is what digital or sustained for is digital service design. This is something new that is quite uncommon within the utility sector. And it is basically a group of people that apart And it is basically a group of people that apart from being technologists focus a lot on the interaction from being technologists focus a lot on the interaction design of what we are or what we are trying to build design of what we are or what we are trying to build in terms of the technology stack. So these are people that basically try to make the very So these are people that basically try to make the very complex technology stack we talk about in our interview much more simple the, to the final user and think about the level of interaction, complexity about the level of interaction, complexity that all our user will have with our technology stack. Especially when we talk about IOT now, and you start to interact, not just with digital systems, but also with digital or physical systems. with digital or physical systems. So yes, we, we, we have a lot on our plate >> It reminds me of the late eighties, early nineties when open standards really hit the scene and then incubated and then accelerated was seeing that same dynamic happening now with cloud. And you're a pioneer and really appreciate you taking the time to come on The Cube and speak with me about this and share your story. And more importantly than Red Hat success there. 'cause it's Red Hat summit, a story here, Roberto. Thank you very much for sharing your insights and experiences. >> Thank you for your time, John. This has been a pleasure. >> Really appreciate it. Okay. That's Red Hat CUBE coverage here with theCUBE. I'm John furrier. Thanks for watching. (upbeat music)
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on the cube and spending the time. Good to see you. love the story and again of the energy transition, from the data center and the business value we derive and advantage of the AI. this is very, very aligned with and at the same time, being I mean, it's at the end of the day and that's going to come back. and the container So big, big step How is Red Hat helping in the at the speed of those businesses. the topic of the edge. between the edge is just that the Italian network is for the modern Obviously AI is going to be very important Yeah, of course. the move to a multicloud You hit all the hit, all that the interesting part of what we do taking the time to come Thank you for your time, John. coverage here with theCUBE.
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Maureen Lonergan, AWS & Alyene Schneidewind, Salesforce | AWS re:Invent 2020
>>from around the >>globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel, AWS and our community partners. Welcome back to the Cubes Coverage Cube Virtual coverage of AWS reinvent 2020 which is also virtual. We're not in person this year. We're doing the remote interviews. But of course, getting all the stories, of course, reinvented, full of partnerships full of news. And we've got a great segment here with Salesforce and AWS. Eileen Schneider Win, who is the senior vice president of strategic partnerships, and Maureen Lundergan, director of worldwide training and certification address. Maureen Eileen. Great to see you. Thanks for coming on. And nice keynote. What's up with the partnership? Give us a quick over your lien. What's what's the Salesforce? A day was partnership. Take a minute to explain it. >>Sure, thank you. I think I'll start out by talking about how sales were thinks about strategic partnerships. So for us, it's really it starts with the customer and being where they want us to be. And we've been so fortunate to be in this relationship with AWS for over five years now. It really started out as an infrastructure based partnership as we were seeing customers start their digital transformation journeys and moved to the cloud. But what has been really exciting as we've spent more time working together and working with our customers, we have now started to move into emotion of really bringing some differentiated solutions between the number one CRM and the most broadly adopted cloud platform to market for customers, uh, in areas like productivity, security and training and certification which will talk more about in a bit Onda. Specifically, some of those solutions are service Cloud Voice Product, which we launched this summer, announced last fall, a dream force as well as our private connect product which creates great security between the AWS platform and Salesforce. >>What? Some of the impact area is actually the two clouds you mentioned CRM and Amazon. We're seeing data obviously being a part of the equation ai machine learning. Um, what's been the impact I lean to your customer specifically >>Yeah, so specifically I'd call out to areas what one is really that foundation of security. Specifically, as government regulations and data security has become more critical, we've really been able to partner together there and and that's been crucial for certain customers in certain regions as well a certain industries like government. Uh, in addition, I would call out again that service cloud voice partnership, a zoo. We see the world moving more digital. This really allows customers to go quickly and, uh, turn on. There are solutions from anywhere at any time. >>You know, I love that any time, anywhere kind of philosophy. Now more than ever. With the pandemic collaborations required more than ever, and some people are used to it. You know, I've seen more technical developers have used to working at home, but not everyone else. The workforce still needs to get the job done. So this idea of collaboration, what is the impact in for your customers and how are you guys helping them? Because I think this is a big theme of this year That's gonna not only carry over, even when the pandemics over this idea of anywhere is all about collaboration. >>Yeah, I totally agree. I mean, the exciting thing about the partnership is we've been talking digital transformation with customers for years, but I think what we saw at the beginning of this year, as we were all thrown home and forced Thio, you know, fire up our jobs from our bedrooms or our garages. It really came down to our ability to work quickly and turn on our solutions. It's and these unprecedented times, while we're going through this now, everything we're building really is the future. So it's not just the tools and technology, it's also the processes and how work is getting done that's really come into play. But again, I'll anchor back to that service blood voice solution. So for us, call centers were completely disrupted. You think of call centers and you know, pre 2020 everyone sitting in a room together, agent side by side managers, having the ability to pop over and assist with a call or managing escalation. Now that's been completely disrupted. And it's been very exciting for us to work with our customers, to reimagine what that looks like again both from a technology perspective but also from a process perspective. And along with that, you had to reimagine how employees are learning these solutions and being trained. So we're very grateful for the partnership with AWS, and we're doing some really amazing things together. >>You know this is one of my favorite things about the enablement of Cloud. But in Salesforce has been a pioneer. As you pointed out, this connectedness feature has always been there. Now more than ever, it's highlighted with call centers, not the call center more. It's the connected center. People are connecting. And I think, Maureen, I think last time you're in the Cube. A few years ago, we were talking about virtual training online, and that was pre pet pandemic. Now you're seeing surge of online training not only because people's jobs are changing and being displaced or even shut down. New roles are emerging, right? So the virtual space Virtual world digital world, there's everyone's getting more digital faster now. How has the cove in 19 changed the landscape for training and skills demand? From your perspective, I >>mean at AWS, we've been working on our virtual capabilities for a while, so we had a digital platform out. We had a great partnership, have a great partnership with Salesforce and putting content on trailhead. We had to pivot very rapidly to virtual instructor led training and also our certifications right. We were lucky that our vendors partnered with us rapidly to pivot certification toe proctor environment. And this actually has helped to expand our ability to deliver the both training and certification in locations that we may not have been able to do before. And we have seen while it slowed. Initially, we have seen such an uptake and training over the last, um, 6 to 8 months. It's been incredible. We've been working with our customers. We've been working with our partnerships like Salesforce. We've been pushing more content out. I think customers and partners air really looking for how toe upscale their employees, uh, in a in a way, that is easy for them. And so it's actually been a great surprise to see the adoption of all of our curriculum over the last couple months. >>Well, congratulations knows a lot more work to do. It's gonna get more engaging, more virtual, more rich media. But this idea of connecting lean I wanna get back to the your your thoughts earlier, um, mentioned trailhead. Maury mentioned trailhead. You guys were doing some work with the virtual training there. What? Can you tell us more about that? And how that's going so far? >>Sounds great. So trailhead is our free online learning platform. And it really started because we have a commitment to democratizing anyone's ability to enter our industry s so you could go there and both online or with our trail head go app and experience what we call trails, which our paths for learning again on different areas of knowledge and skills and technology. And late last year, we announced an incredible partnership with AWS, where we're bringing the AWS learning content and certification to trailhead. And this is really again driven by our customers to are asking us to do our part in bringing mawr of these skilled resource is into the ecosystem. But something I also wanna highlight is I feel like this moment that we're in right now has also forced everyone to reimagine how they're doing learning even businesses, how they're training their employees and again having this free platform. And the partnership with AWS has really helped us go very quickly and create a lot of impact with customers. >>I just want to say I love the trailhead metaphor because, you know, learnings nonlinear. It's asynchronous. You've got digital. So you want to take a shortcut? You gotta know the maps And I think that's, you know, people wanna learn versus the linear, you know, tracks on. And I think that's how people have been learning online. And AWS has got a data driven strategy. Marine, I want to get your take on this because as you bring content on the trailhead, can you talk about how that works? And how you working with Railhead? >>Yeah. I mean, we started conversations a couple of years ago, and I think the interesting thing is that Salesforce and AWS have a very similar philosophy about bringing education to anybody who wants it. You'll hear me talk a lot about that in my leadership talk at reinvent, but, um, we really believe that we wanna provide content where learners learn and salesforce and trailhead have this amazing captured audience. And, um, you know, we're really looking at exploring. How do we bring education to people that might not otherwise have access to it? On DSO, we started with really foundational level content, a ws Cloud, Practitioner Essentials and AWS Cloud for technical professionals. And the interesting thing is, both of those courses have been consumed. ITT's not enough to just put it out there you want people to complete the trails and we've seen such an amazing uptake on the courses with, like 85% completion rate on one of the trails and 95% completion rate on the other one. And to keep customers engage is really a credit toe. How trailhead is designed. >>You know, it's interesting. The certification people don't lose sight of the fact that that's kind of the in the end state. Then you start a new trail. I mean, this >>is >>the this is really what it's all about. Can you just share some observations that you've seen for people that are coming into this now to say, Hey, okay, what do I expect? And what are some of the outcomes? >>Yeah, I mean, first, what we're seeing is our customers are being very clear that they need more of these skills. So we're also seeing the need for Salesforce administrators out in our ecosystem. And I think with everything going on this year, it's also an opportunity for people who are looking to pivot. Their careers were moving to tech and again, this free learning platform and the content that we're bringing has been really powerful and again for us. The need for salesforce administrators and cloud practitioners out in our ecosystem are in more demand than ever. >>Maureen. From your perspective on AWS, you see a lot of the new new jobs cybersecurity, Brazilian openings. Where do you see the most needs on for training and certification? Can you highlight some of the areas that are emerging and trending, if you will? >>I would say it's interesting because what we're seeing is is both ends of the spectrum. People that are really trying to just really understand who cloud is, whether it's, ah, business leader within an organization, a finance person, a marketing person. So cloud practitioner, you know, we're seeing huge adoption and consumption on both our platform in on Salesforce. But also some other areas are security and machine learning machine learning. We have five learning paths on our digital platform. We've also extended that content out to other platforms and the consumption rate is significant. And so, you know, I think we're seeing, uh, customers consume that. But the other thing that we're doing is we're really focused on looking at who doesn't have access to education and making sure that's available. So I think the large adoption of Cloud Practitioner in Practitioner is is largely due to the other things that we're doing with programs like Restart our academic programs >>to close it out, Alina want to get your thoughts and final thoughts on the relationship and how people can find more information about this partnership and what it means. Take, take it home. >>Thank you for asking. So just like everything else we've been talking about today, we've had to reimagine how we're showing up at this event together and very exciting thing that my team has created is the AWS Virtual Park. And anyone can access that at salesforce dot com slash aws. So please go check it out. You can experience our products here from our experts and experience its innovation on your own. >>Great insight. Thanks for coming on and participating. Really appreciate Salesforce and AWS two big winning leading clouds working together Trail had great great offering. Thanks for coming on sharing the news. Appreciate >>it. Thank you. >>It's the Cube virtual covering. It was reinvent virtual. Of course. Check out all the information here All three weeks. Walter Wall coverage. I'm John Fury with the Cube. Thanks for watching
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It's the Cube with digital coverage of AWS between the number one CRM and the most broadly adopted cloud platform to market Some of the impact area is actually the two clouds you mentioned CRM and Amazon. Yeah, so specifically I'd call out to areas what one is really that foundation So this idea of collaboration, what is the impact in for your customers and how having the ability to pop over and assist with a call or managing escalation. So the virtual space Virtual world digital world, there's everyone's getting more digital And this actually has helped to expand our ability But this idea of connecting lean I wanna get back to the your your And the partnership with AWS has really helped us go very quickly and create a lot of impact And how you working with Railhead? And the interesting thing is, both of those courses have been consumed. The certification people don't lose sight of the fact that that's kind of the in the end state. for people that are coming into this now to say, Hey, okay, what do I expect? And I think with everything going on this year, Can you highlight some of the areas that are emerging and trending, if you will? is is largely due to the other things that we're doing with programs like Restart our academic to close it out, Alina want to get your thoughts and final thoughts on the relationship and how people can find more information And anyone can access that at salesforce dot com slash aws. Thanks for coming on sharing the news. It's the Cube virtual covering.
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Janine Teo, Hugo Richard, and Vincent Quah | AWS Public Sector Online Summit
>>from around the globe. It's the Cube with digital coverage of AWS Public Sector online brought to you by Amazon Web services. Oven Welcome back to the cubes. Virtual coverage of Amazon Web services. Eight. Of his public sector summit online. We couldn't be there in person, but we're doing remote interviews. I'm John Curry. Your host of the Cube got a great segment from Asia Pacific on the other side of the world from California about social impact, transforming, teaching and learning with cloud technology. Got three great guests. You go. Richard is the CEO and co founder of Guys Tech and Jean Te'o, CEO and founder of Solve Education Founders and CEOs of startups is great. This is squad was the AIPAC regional head. Education, health care, not for profit and research. Ray Ws, he head start big program Vincent. Thanks for coming on, Janine. And you go Thank you for joining. >>Thanks for having us, John. >>We're not there in person. We're doing remote interviews. I'm really glad to have this topic because now more than ever, social change is happening. Um, this next generation eyes building software and applications to solve big problems. And it's not like yesterday's problems there. Today's problems and learning and mentoring and starting companies are all happening virtually digitally and also in person. So the world's changing. So, um, I gotta ask you, Vincent, we'll start with you and Amazon. Honestly, big started builder culture. You got two great founders here. CEO is doing some great stuff. Tell us a little bit what's going on. A pack, >>A lot of >>activity. I mean, reinvent and some it's out. There are really popular. Give us an update on what's happening. >>Thank you. Thank you for the question, John. I think it's extremely exciting, especially in today's context, that we are seeing so much activities, especially in the education technology sector. One of the challenges that we saw from our education technology customers is that they are always looking for help and support in many off the innovation that they're trying to develop the second area off observation that we had waas, that they are always alone with very limited resources, and they usually do not know where to look for in terms, off support and in terms off who they can reach out to. From a community standpoint, that is actually how we started and developed this program called A W s. At START. It is a program specifically for education technology companies that are targeting delivering innovative education solutions for the education sector. And we bring specific benefits to these education technology companies when they join the program. Aws ed start. Yeah, three specific areas. First one is that we support them with technical support, which is really, really key trying to help them navigate in the various ranges off A W S services that allows them to develop innovative services. The second area is leaking them and building a community off like minded education technology founders and linking them also to investors and VCs and lastly, off course, in supporting innovation. We support them with a bit off AWS cop credits promotional credits for them so that they can go on experiment and develop innovations for their customers. >>That's great stuff. And I want to get into that program a little further because I think that's a great example of kind of benefits AWS provides actually free credits or no one is gonna turn away free credits. We'll take the free credits all the time all day long, but really it's about the innovation. Um, Jean, I want to get your thoughts. How would solve education? Born? What problems were you solving? What made you start this company and tell us your story? >>Thank you so much for the question. So, actually, my co founder was invited to speak at an African innovation forum a couple of years back on the topic that he was sharing with. How can Africa skip over the industrialization face and go direct to the knowledge economy? Onda, the discussion went towards in orderto have access to the knowledge economy, unique knowledge. And how do you get knowledge Well through education. So that's when everybody in the conference was a bit stuck right on the advice waas. In order to scale first, we need to figure out a way to not well, you know, engaging the government and schools and teachers, but not depend on them for the successful education initiated. So and that's was what pain walk away from the conference. And when we met in in Jakarta, we started talking about that also. So while I'm Singaporean, I worked in many developing countries on the problem that we're trying to solve this. It might be shocking to you, but UNESCO recently published over 600 million Children and you are not learning on. That is a big number globally right on out of all the SDG per se from U N. Education. And perhaps I'm biased because I'm a computer engineer. But I see that education is the only one that can be solved by transforming bites. But since the other stg is like, you know, poverty or hunger, right, actually require big amount of logistic coordination and so on. So we saw a very, um, interesting trend with mobile phones, particularly smartphones, becoming more and more ubiquitous. And with that, we saw a very, uh, interesting. Fortunately for us to disseminate education through about technology. So we in self education elevate people out of poverty, true, providing education and employment opportunities live urging on tech. And we our vision is to enable people to empower themselves. And what we do is that we do an open platform that provides everyone effected education. >>You could How about your company? What problem you're you saw And how did it all get started? Tell us your vision. >>Thanks, John. Well, look, it all started. We have a joke. One of the co founder, Matthew, had a has a child with severe learning disorder and dyslexia, and he made a joke one day about having another one of them that would support those those kids on Duh. I took the joke seriously, So we're starting sitting down and, you know, trying to figure out how we could make this happen. Um, so it turns out that the dyslexia is the most common learning disorder in the world, with an estimated 10 to 20% off the worldwide population with the disorder between context between 750 million, up to 1.5 billion individual. With that learning disorder on DSO, where we where we sort of try and tackle. The problem is that we've identified that there's two key things for Children with dyslexia. The first one is that knowing that it is dislikes. Yeah, many being assessed. And the second is so what? What do we do about it? And so given or expertise in data science and and I, we clearly saw, unfortunately off, sort of building something that could assess individual Children and adults with dyslexia. The big problem with the assessment is that it's very expensive. We've met parents in the U. S. Specifically who paid up to 6000 U. S. Dollars for for diagnosis within educational psychologist. On the other side, we have parents who wait 12 months before having a spot. Eso What we so clearly is that the observable symptom of dyslexia are reading and everyone has a smartphone and you're smart. Smartphone is actually really good to record your voice. Eso We started collecting order recording from Children and adults who have been diagnosed with dyslexia, and we then trying a model to recognize the likelihood of this lecture by analyzing audio recording. So in theory, it's like diagnosed dyslexic, helping other undiagnosed, dyslexic being being diagnosed. So we have now an algorithm that can take about 10 minutes, which require no priors. Training cost $20. Andi, anyone can use it. Thio assess someone's likelihood off dyslexia. >>You know, this is the kind of thing that really changes the game because you also have learning progressions that air nonlinear and different. You've got YouTube. You got videos, you have knowledge bases, you've got community. Vincent mentioned that Johnny and you mentioned, you know making the bits driver and changing technology. So Jeannine and Hugo, please take a minute to explain, Okay? You got the idea. You're kicking the tires. You're putting it together. Now you gotta actually start writing code >>for us. We know education technology is not you. Right? Um, education games about you. But before we even started, we look at what's available, and we quickly realize that the digital divide is very real. Most technology out there first are not designed for really low and devices and also not designed for people who do not have Internet at hope so way. So with just that assessment, we quickly realized we need toe do something about on board, but something that that that problem is one eyes just one part of the whole puzzle. There's two other very important things. One is advocacy. Can we prove that we can teach through mobile devices, And then the second thing is motivation it again. It's also really obvious, but and people might think that, you know, uh, marginalized communities are super motivated to learn. Well, I wouldn't say that they are not motivated, but just like all of us behavioral changes really hard right. I would love to work out every day, but, you know, I don't really get identity do that. So how do we, um, use technology to and, um, you know, to induce that behavioral change so that date, so that we can help support the motivation to learn. So those are the different things that we >>welcome? >>Yeah. And then the motivated community even more impactful because then once the flywheel gets going and it's powerful, Hugo, your reaction to you know, you got the idea you got, You got the vision you're starting to put. Take one step in front of the other. You got a W s. Take us through the progression, understand the startup. >>Yeah, sure. I mean, what Jane said is very likely Thio what we're trying to do. But for us, there's there's free key things that in order for us to be successful and help as much people as we can, that is free things. The first one is reliability. The second one is accessibility, and the other one is affordability. Eso the reliability means that we have been doing a lot of work in the scientific approach as to how we're going to make this work. And so we have. We have a couple of scientific publications on Do we have to collect data and, you know, sort of published this into I conferences and things like that. So make sure that we have scientific evidence behind us that that support us. And so what that means that we had Thio have a large amount of data >>on and >>put this to work right on the other side. The accessibility and affordability means that, Julian said. You know it needs to be on the cloud because if it's on the cloud, it's accessible for anyone with any device with an Internet connection, which is, you know, covering most of the globe, it's it's a good start on DSO the clock. The cloud obviously allow us to deliver the same experience in the same value to clients and and parent and teacher and allied health professionals around the world. Andi. That's why you know, it's it's been amazing to to be able to use the technology on the AI side as well. Obviously there is ah lot of benefit off being able to leverage the computational power off off the cloud to to make better, argue with them and better training. >>We're gonna come back to both of you on the I question. I think that's super important. Benson. I want to come back to you, though, because in Asia Pacific and that side of the world, um, you still have the old guard, the incumbents around education and learning. But there is great penetration with mobile and broadband. You have great trends as a tailwind for Amazon and these kinds of opportunity with Head Start. What trends are you seeing that are now favoring you? Because with co vid, you know the world is almost kind of like been a line in the sand is before covert and after co vid. There's more demand for learning and education and community now than ever before, not just for education, the geopolitical landscape, everything around the younger generation. There's, um, or channels more data, the more engagement. How >>are you >>looking at this? What's your vision of these trends? Can you share your thoughts on how that's impacting learning and teaching? >>So there are three things that I want to quickly touch on number one. I think government are beginning to recognize that they really need to change the way they approach solving social and economic problems. The pandemic has certainly calls into question that if you do not have a digital strategy, you can't You can find a better time, uh, to now develop and not just developed a digital strategy, but actually to put it in place. And so government are shifting very, very quickly into the cloud and adopting digital strategy and use digital strategy to address some of the key problems that they are facing. And they have to solve them in a very short period of time. Right? We will talk about speed, three agility off the cloud. That's why the cloud is so powerful for government to adult. The second thing is that we saw a lot of schools closed down across the world. UNESCO reported what 1.5 billion students out of schools. So how then do you continue teaching and learning when you don't have physical classroom open? And that's where education, technology companies and, you know, heroes like Janine's Company and others there's so many of them around our ableto come forward and offer their services and help schools go online run classrooms online continue to allow teaching and learning, you know, online and and this has really benefited the overall education system. The third thing that is happening is that I think tertiary education and maybe even catch off education model will have to change. And they recognize that, you know, again, it goes back to the digital strategy that they got to have a clear digital strategy. And the education technology companies like, what? Who we have here today, just the great partners that the education system need to look at to help them solve some of these problems and get toe addressing giving a solution very, very quickly. >>Well, I know you're being kind of polite to the old guard, but I'm not that polite. I'll just say it. There's some old technology out there and Jenny and you go, You're young enough not to know what I t means because you're born in the cloud. So that's good for you. I remember what I t is like. In fact, there's a There's a joke here in the United States that with everyone at home, the teachers have turned into the I T department, meaning they're helping the parents and the kids figure out how to go on mute and how toe configure a network adds just translation. If they're routers, don't work real problems. I mean, this was technology. Schools were operating with low tech zooms out there. You've got video conferencing, you've got all kinds of things. But now there's all that support that's involved. And so what's happening is it's highlighting the real problems of the institutional technology. So, Vincent, I'll start with you. Um, this is a big problem. So cloud solves that one. You guys have pretty much helped. I t do things that they don't want to do any more by automation. This >>is an >>opportunity not necessary. There's a problem today, but it's an opportunity tomorrow. You just quickly talk about how you see the cloud helping all this manual training and learning new tools. >>We are all now living in a cloud empowered economy. Whether we like it or not, we are touching and using services. There are powered by the cloud, and a lot of them are powered by the AWS cloud. But we don't know about it. A lot of people just don't know, right Whether you are watching Netflix, um Well, in the old days you're buying tickets and and booking hotels on Expedia or now you're actually playing games on epic entertainment, you know, playing fortnight and all those kind of games you're already using and a consumer off the cloud. And so one of the big ideas that we have is we really want to educate and create awareness off club computing for every single person. If it can be used for innovation and to bring about benefits to society, that is a common knowledge that everyone needs to happen. So the first big idea is want to make sure that everyone actually is educated on club literacy? The second thing is, for those who have not embarked on a clear cloud strategy, this is the time. Don't wait for for another pandemic toe happen because you wanna be ready. You want to be prepared for the unknown, which is what a lot of people are faced with, and you want to get ahead of the curve and so education training yourself, getting some learning done, and that's really very, very important as the next step to prepare yourself toe face the uncertainty and having programs like AWS EC start actually helps toe empower and catalyzed innovation in the education industry that our two founders have actually demonstrated. So back to you Join. >>Congratulations on the head. Start. We'll get into that real quickly. Uh, head start. But let's first get the born in the cloud generation, Janine. And you go, You guys were competing. You gotta get your APS out there. You gotta get your solutions. You're born in the cloud. You have to go compete with the existing solutions. How >>do you >>view that? What's your strategy? What's your mindset? Janine will start with you. >>So for us, way are very aware that we're solving a problem that has never been solved, right? If not, we wouldn't have so many people who are not learning. So So? So this is a very big problem. And being able to liberate on cloud technology means that we're able to just focus on what we do best. Right? How do we make sure that learning is sufficient and learning is, um, effective? And how do we keep people motivated and all those sorts of great things, um, leveraging on game mechanics, social network and incentives. And then while we do that on the outside way, can just put almost out solved everything to AWS cloud technology to help us not worry about that. And you were absolutely right. The pandemic actually woke up a lot of people and hands organizations like myself. We start to get queries from governments on brother, even big NGOs on, you know, because before cove it, we had to really do our best to convince them until our troops are dry and way, appreciate this opportunity and and also we want to help people realized that in order to buy, adopting either blended approach are a adopting technology means that you can do mass customization off learning as well. And that's what could what we could do to really push learning to the next level. So and there are a few other creative things that we've done with governments, for example, with the government off East Java on top of just using the education platform as it is andare education platform, which is education game Donald Civilization. Um, they have added in a module that teaches Cove it because, you know, there's health care system is really under a lot of strain there, right and adding this component in and the most popular um mitigate in that component is this This'll game called hopes or not? And it teaches people to identify what's fake news and what's real news. And that really went very popular and very well in that region off 25 million people. So tech became not only just boring school subjects, but it can be used to teach many different things. And following that project, we are working with the federal government off Indonesia to talk about anti something and even a very difficult topic, like sex education as well. >>Yeah, and the learning is nonlinear, horizontally scalable, its network graft so you can learn share about news. And this is contextual data is not just learning. It's everything is not like, you know, linear learning. It's a whole nother ballgame, Hugo. Um, your competitive strategy. You're out there now. You got the covert world. How are you competing? How is Amazon helping you? >>Absolutely. John, look, this is an interesting one, because the current competitors that we have, uh, educational psychologist, they're not a tech, So I wouldn't say that we're competing against a competitive per se. I would say that we're competing against the old way of doing things. The challenge for us is to, um, empower people to be comfortable. We've having a machine, you know, analyzing your kids or your recording and telling you if it's likely to be dislikes. Yeah, and in this concept, obviously, is very new. You know, we can see this in other industry with, you know, you have the app that stand Ford created to diagnose skin cancer by taking a photo of your skin. It's being done in different industry. Eso The biggest challenge for us is really about the old way of doing things. What's been really interesting for us is that, you know, education is lifelong, you know, you have a big part in school, but when you're an adult, you learn on Did you know we've been doing some very interesting work with the Justice Department where, you know, we look at inmate and you know, often when people go to jail, they have, you know, some literacy difficulty, and so we've been doing some very interesting working in this field. We're also doing some very interesting work with HR and company who want to understand their staff and put management in place so that every single person in the company are empowered to do their job and and and, you know, achieve success. So, you know, we're not competing against attack. And often when we talk to other ethnic company, we come before you know, we don't provide a learning solution. We provide a assessment solution on e assessment solution. So, really, John, what we're competing against is an old way of doing things. >>And that's exactly why clouds so successful. You change the economics, you're actually a net new benefit. And I think the cloud gives you speed and you're only challenges getting the word out because the economics air just game changing. Right, So that's how Amazon does so well, um, by the way, you could take all our recordings from the Cube, interviews all my interviews and let me know how ideo Okay, so, um, got all the got all the voice recordings from my interview. I'm sure the test will come back challenging. So take a look at that e. I wanna come back to you. But I wanna ask the two founders real quick for the folks watching. Okay on Dhere about Amazon. They know the history. They know the startups that started on Amazon that became unicorns that went public. I mean, just a long list of successes born in the cloud You get big pay when you're successful. Love that business model. But for the folks watching that were in the virtual garages, air in their houses, innovating and building out new ideas. What does Ed start mean for them? How does it work? Would you would recommend it on what are some of the learnings that you have from work with Head Start? >>But our relationship X s start is almost not like client supplier relationship. It's almost like business partners. So they not only help us with protect their providing the technology, but on top of that, they have their system architect to work with my tech team. And they have, you know, open technical hours for us to interact. And on top of that, they do many other things, like building a community where, you know, people like me and Google can meet and also other opportunities, like getting out the word out there. Right. As you know, all of their, uh, startups run on a very thin budget. So how do we not pour millions of dollars into getting out without there is another big benefit as well. So, um definitely very much recommend that start. And I think another big thing is this, right? Uh, what we know now that we have covert and we have demand coming from all over the place, including, like, even a lot of interest, Ally from the government off Gambia, you know? So how do we quickly deploy our technology right there? Or how do we deploy our technology from the the people who are demanding our solution in Nigeria? Right. With technology that is almost frameless. >>Yeah. The great enabling technology ecosystem to support you. And they got the region's too. So the region's do help. I love we call them Cube Region because we're on Amazon. We have our cloud, Hugo, um, and start your observations, experience and learnings from working with aws. >>Absolutely. Look, this is a lot to say, so I'll try and making sure for anyone, but but also for us on me personally, also as an individual and as a founder, it's really been a 365 sort of support. So like Johnny mentioned, there's the community where you can connect with existing entrepreneur you can connect with expert in different industry. You can ask technical expert and and have ah, you know office our every week. Like you said Jenny, with your tech team talking to cloud architect just to unlock any problem that you may have on day and you know, on the business side I would add something which for us has been really useful is the fact that when we when we've approached government being able to say that we have the support off AWS and that we work with them to establish data integrity, making sure everything is properly secured and all that sort of thing has been really helpful in terms off, moving forward with discussion with potential plant and and government as well. So there's also the business aspect side of things where when people see you, there's a perceived value that you know, your your entourage is smart people and and people who are capable of doing great things. So that's been also really >>helpful, you know, that's a great point. The APP SEC review process, as you do deals is a lot easier. When here on AWS. Vincent were a little bit over time with a great, great great panel here. Close us out. Share with us. What's next for you guys? You got a great startup ecosystem. You're doing some great work out there and education as well. Healthcare. Um, how's your world going on? Take a minute, Thio. Explain what's going on in your world, >>John, I'm part of the public sector Team Worldwide in AWS. We have very clear mission statements on by the first is you know, we want to bring about destructive innovation and the AWS Cloud is really the platform where so many off our techs, whether it's a text, healthtech golf text, all those who are developing solutions to help our governments and our education institutions or health care institutions to really be better at what they do, we want to bring about those disruptive innovations to the market as fast as possible. It's just an honor on a privilege for us to be working. And why is that important? It's because it's linked to our second mission, which is to really make the world a better place to really deliver. Heck, the kind of work that Hugo and Janina doing. You know, we cannot do it by ourselves. We need specialists and really people with brilliant ideas and think big vision to be able to carry out what they are doing. And so we're just honored and privileged to be part off their work And in delivering this impact to society, >>the expansion of AWS out in your area has been phenomenal growth. I've been saying to Teresa Carlson, Andy Jassy in the folks that aws for many, many years, that when you move fast with innovation, the public sector and the private partnerships come together. You're starting to see that blending. And you've got some great founders here, uh, making a social impact, transforming, teaching and learning. So congratulations, Janine and Hugo. Thank you for sharing your story on the Cube. Thanks for joining. >>Thank you. Thank >>you, John. >>I'm John Furry with the Cube. Virtual were remote. We're not in person this year because of the pandemic. You're watching a divest Public sector online summit. Thank you for watching
SUMMARY :
AWS Public Sector online brought to you by Amazon Vincent, we'll start with you and Amazon. I mean, reinvent and some it's out. One of the challenges that we saw from our education technology customers What made you start this company and tell us your story? But I see that education is the only one that can be solved You could How about your company? clearly is that the observable symptom of dyslexia are reading You know, this is the kind of thing that really changes the game because you also have learning but and people might think that, you know, uh, marginalized communities are Take one step in front of the other. So make sure that we have which is, you know, covering most of the globe, it's it's a good start on We're gonna come back to both of you on the I question. And they recognize that, you know, again, it goes back to the digital strategy There's some old technology out there and Jenny and you go, You just quickly talk about how you see the cloud And so one of the big ideas that we have is we really want And you go, Janine will start with you. a module that teaches Cove it because, you know, It's everything is not like, you know, linear learning. person in the company are empowered to do their job and and and, you know, achieve success. And I think the cloud gives you speed and you're only challenges getting the word out because Ally from the government off Gambia, you know? So the region's do help. there's a perceived value that you know, your your entourage is smart people helpful, you know, that's a great point. We have very clear mission statements on by the first is you know, Andy Jassy in the folks that aws for many, many years, that when you move fast with innovation, Thank you. Thank you for watching
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Randy Seidl, Sales Community | CUBE Conversation, October 2020
>> From theCUBE studios in Palo Alto in Boston, connecting with thought leaders all around the world. This is theCUBE conversation. >> Hello everyone, David Vellante here and welcome to the special CUBE conversation with a colleague and friend of mine, Randy Seidl is a accomplished CEO, he's an executive, sales pro, and he's a founder of the Sales Community, this newly formed social network, Randy, good to see you again, welcome. >> Hey, great to see you, it's been a lot of great years, great relationship with you and congratulations with all your success with SiliconANGLE and theCUBE. I was remembering back, I think it's been probably since 1985, so 35 years ago when we were both Cub Scouts, I was at EMC, and you were at IDC. >> Yeah, I mean, first of all, I love where you are, your man-cave there, we heard you held a great little networking event that you do periodically with some of our joint colleagues. And yeah, wow, we were both in our twenties, I was a young pop and Dicky Eagan, and Jack and Mike, and they would have me talk to you guys, you know, sort of brief you on the market, what little I knew now looking back. But wow, Randy, I mean. >> We knew! >> Right, I mean, and then just the whole thing just took off, but we had a good instinct, that storage was going to matter, everything back then was mainframe and IBM was the king of the world, and then you guys just crushed it. Wow, what a run, amazing. >> Yeah, absolutely. >> So tell me about Sales Community. What are you trying to accomplish with this new social network? >> Well, it was kind of really my COVID moment. I was talking to Peter Bell I know, you know well as well, and it was right in the beginning of COVID we were kind of comparing notes and long story short, he said, hey Randy, you do all this work with these technology companies, and channel partners, and use your customers, CIO, CTO, CSOs, but you're really not doing much for those that you know the best, which are really technology sales professionals, CROs, STRs kind of up and down the food chain. And that really got me thinking, then he introduced me to one of his companies that sells to CROs and I was going through with them and they were kind of calling me on the carpet saying, okay, do I really know these people? I'm like, oh my gosh! They basically just said, I'm a dope, I haven't really done anything here. So, one thing led to another and ended up developing a Sales Community, a big thing and big help for me was talking to probably 150 or so during the course of the summer, CROs, VPs of sales, Reps STRs to really kind of help get some feedback from them in terms of I caught now they call product-market fit, but kind of what they think it's missing, what's needed, what are their teams need, what do they want? So, it's kind of all a perfect storm, which to be honest without COVID probably wouldn't have created Sales Community. >> Well, I joined and it was a great onboarding experience and love participating with colleagues. I mean, sales is hard, I mean, you've got your ups and your downs and you just got to keep pressing on, but who's participating in Sales Community. >> We're targeting STRs on up to CROs and the kind of the tagline is learn more so you can sell more. We have a lot of great different kind of content areas and we're going to kind of bob and weave based on the feedback that we get, but we've got some great virtual events and interviews. We have an executive coach, Tony Jerry, who's doing nine sessions on designing your life. We did a recording, a live session last week on personal goal setting. We did one yesterday, it was a live session that'll be posted shortly on strategic health. Next one's on branding, so that's not necessarily specific to tech sales, but kind of adding value. We also have Dave Knorr, another executive coach doing a weekly interview series that we're calling tech sales insights with some of the leading CROs, CEOs, Jim Sullivan, who I know you know well, he's going to be the first one, it's going to be next Wednesday, he runs a NWN and he's done a lot of great things and a lot of other great leaders from there. Also still on the interview virtual events side, Michael Cotoia from Tech Target he's going to do a CMO insights series. His Tech Target International editors are also going to do regional ones. So CIO interviews from AMEA, Asia Pac, Latin America, Australia, also on the CSO side, we have somebody focused on doing a CSO interviews, Paul Salamanca of channel interviews, I think this channel, by and large gets missed a lot. CEO's and then Steve Duplessie, I know you know well as well is going to do and focus on CIO, sub-CIO insights, but basically creating virtual events and interview series that are really targeted at people that we sell to. So that covers the kind of virtual event and interview side. And I maybe more quickly go through some of the other key segments. So another one is a content library. There's the guy who's a STR at ServiceNow went through, send me note the other day that said, hey, I found out you have some great feedback on prospecting cold calling, I shared it with my team helped me a lot. So a lot of good things in terms of content library, also opportunity to network. So you could be say selling to Fidelity, you could send a note to the community and members and say anybody else trying to sell the Fidelity, let's network, let's compare notes, also great opportunities for channel partners. So channel partner could raise their hand and say, hey, I know Fidelity, let me help with you. A lot of sharing of best practices. And also just in terms of communication, slack channels, and then opportunities to create round tables. So you might have CROs from startups that want to have maybe six to 10 of them get together. So they can kind of commiserate, ask questions, you could have CROs, companies that are maybe transforming going from on-prem to kind of SAS model. So a lot of different great things, ultimately really to serve the folks in the tech Sales Community. >> Yeah, it sounds like, I mean, first of all tons of content, the other thing I like about it is we all read books on sales, some of them are so like gimmicky, some of them are inspirational. Some of them have really great suggestions. Some of them can be life changing, but what's always been missing in my opinion, is this notion of a network, a social network, if you will, where people can help each other, you just gave a ton of good examples. So you're really trying to differentiate from a lot of the things that have worked over the years, but have really sort of one way communication, some sales guru either training or you're reading his or her book. >> Yes, and we're also fortunate on the content side, we have some of the best kind of consulting sales methodology companies that love what we're doing. So they're likewise providing a lot of content and as you said, it's crazy. You think of any other industry, restaurant, hotel, lawyers, landscape, they have these big, kind of user groups, even technology companies user groups within the larger field of technology sales enterprise B2B sales, there's really nothing that looks like this that exists. So far the feedback's been great. >> Well, so just to what you're describing, I mean, I've known you for a long, long time, and one of the principles of great salespeople is, you help others, right? You make as many friends as you can, and you're the master of that. But essentially you're bringing a lot of the things that have worked, a lot of the principles that have worked in your career to this community. Maybe talk about that a little bit. >> Yeah, I mean, especially I think some of the younger sales folks, it's not kind of off the cuff as we know, but it's really kind of training, being disciplined, being prepared, what are you going to do, how are you going to do it in this COVID moment? You know, I'm seeing lots of friends where the companies that have great relationships, they can do really well and kind of lean in a lot. If you're kind of cold calling and this environment, and it's tough, so kind of, how can you be best prepared, how can you do the best homework? How can you have the kind of right agenda, when you're going to do the sales calls? And then it's not really as much follow up, but really follow through in terms of what you do afterwards. So kind of what is the training? What can you do, how can you do it? And, you know, it's crazy, a lot of companies spend lots of money on training, but if you think about it they're really tied in specifically to tech sales, hopefully this will be great. Plus being able to just kind of throw out questions here and there works out well as well. >> Well that's what I'm looking forward to, say, hey, I got some challenges, how do others deal with this? You know, one of the things that is, I think, paramount to being a great salesperson is the attitude you hear it all the time. How do you stay pumped up? (laughing) Like I said before, we've all been through ups and downs, and what do you tell people there? >> In terms of staying pumped up, interestingly enough, the session we did yesterday on strategic health, probably plays a key role. So yeah, there's the work aspects and how are you going to focus and wake up and get fired up. But ultimately, I think you really got to take several steps back and saying are you taking care of yourself? Are you sleeping, are you eating and drinking correctly? Are you drinking enough water, are you exercising? So, in this moment, I think that's probably something that gets missed a lot in terms of getting fired up. And then ultimately just being excited about kind of what you're doing, how are you doing it, taking care of the customers and serving those around you. And you had mentioned in terms of giving it back, but a lot of us that have been around, love the idea of kind of paying it forward, helping out others and seeing a lot of the great younger folks really rise up and become stars. >> I think that's one of the most exciting things is somebody has been around for awhile. Like (laughing) we all get cold calls and say, hey, how you doing today? You know, (laughing) you really had that dead air, and you actually want to reach out and help these individuals. A lot of times they'll call you, they have no idea what you do, well I've read your website, and I think we'd be a great fit for, you know, something that would not be a great fit. So, there's a level of preparation we always talk about in sales, you got to be prepared, but there's also sometimes... I was talking to a sales pro the other day, you know, sometimes you can over prepare he said, I've been on sales calls, I prepare for hours and hours and hours, and then they get there, and it was just a lot of wasted hours. I probably could have done it in 15 minutes. I mean, so there's a really a balance there. And it comes with experience, I guess. >> Yeah, I mean, I don't know how anybody could prepare hours and hours, so that's a whole different subject to think. >> Well, he said, my technique now is just 15 minutes before the call I'll jump on and just, you know, cram as much as I can. And it actually, it worked for him. So, different approaches, right? >> Yeah, absolutely. The other thing I'd like to mention is the advisory board I'm fortunate to have a work with, and be friends with several of the best in industry like you. So if anybody goes to the website, you can click on an advisory board and there's a 200 plus and haven't count them exactly. But you know, some of the best in technology, we've got them sorted on the sales side and the channel side, the consulting side, the coaching side, analyst side, but, really just such a tremendous each head of talent that can really help us continue to go and grow and pivot and you're making sure that we are serving our Sales Community and making sure everybody's learning more so they can sell more. And then I guess I should add onto that also, earning more and making more money. >> So I got to ask you where you land on this. I mean, you're a sports fan, I am too and for a while there once the "Moneyball" came out, you saw Billy Bean and it was this sort of formulaic approach. The guy, you know, we would joke the team with the best nerds would win. But it seems like there's an equilibrium. It used to be all gut feel and experience, and then it became the data nerds. And it seems like in our industry, it's following a similar pattern, the marketing ops, Martech, becoming very, very data driven. But it feels to me, Randy, especially in these COVID times that there really is this equilibrium, this balance between experience, and tribal knowledge, gut feel, network, which is something you're building and the data. How do you see that role, that CRO role, that sales role evolving, especially in the context of what I just talked about with the data nerds? (laughing) >> Yeah, absolutely, I think I heard two points there since you brought up Billy Bean, I forgot the guy's name, but in the movie is kind of nerd. I've got Jesse and Tucker who have been tremendously helpful for us putting together a Sales Community. But to answer the question on the CMOs side, the CMOs out there frankly not going to like this answer, but I think more and more, you see CMOs and CROs kind of separated and it's kind of different agendas, my belief is that eventually the CMO function or marketing is really going to come under sales and sales are really going to take a much more active role in driving and leveraging that marketing function in terms of what's the best bang for the buck, what are they doing, how are they doing it? And I've got a lot of friends, I won't name names, but they're not on the sales side and they're doing what they can, but they just see what I'd call it kind of wasted money or inefficiencies on the marketing side. So, if I maybe I spin that a different way, I think given kind of analytics and those companies that do have best practices, and I write things on the marketing side, you know, they're going to continue to go and grow, you know, on cert with the right sales team. So I think that you bring up a great point and that area is going to continue to evolve a lot. >> Does that principle apply to product marketing? In other words do you feel like product marketing should be more aligned with engineering or sales and maybe sales and finance, where do you land on that? >> Yeah, I mean, I'm kind of old school, so I go back to Dick and Jack and Roger and Mike Rutgers, and you all in terms of, hey, you have those silos, but you get everybody at the table, kind of what we're working well together. It is interesting though in today's world, the PLG, Product-Led Growth models, where a lot of companies now are trying to get in maybe almost like a VMware, maybe BMC did in the early days where you're kind of getting into the low level developers and then kind of things bubble up so that you think Product-Led Growth model, having a lower cost insight sales model, works when I'll say the kind of the product sells itself. But I would argue, that I think some of those PLG led companies really miss out on leveraging the high end enterprise relationships, to kind of turbocharge and supersize and expedite larger sales deals, larger (indistinct). >> Well, and you mentioned earlier a channel you said a lot of times that's overlooked and I couldn't agree more, channel increasingly important. That's where a lot of the relationships live, it gives you scale, it just gives you a lot of leverage, maybe you talk about the importance of channel and how it relates to Sales Community. >> Yeah, I mean, it's interesting they're really unto themselves, there's some things that are channel channel, but if you think about, you know, go to market tech sales, pick the company on average is probably half of the business goes through the channel. And it used to be way back when just kind of fulfillment, but now the best companies really are those that have the right relationships, that are adding value, that can help on the pre sales, that can help on the post sales, that can help kind of cross sale. You know, if I'm a customer, I don't want to deal with whatever five or 10 different vendors if I can have a one stop shop with one bar solution provider, partner, SI, or whatever you want to call them, you know, that certainly makes life a lot easier. And I think a lot of companies almost been kind of a second class citizen, but I think those companies that really bring them into the fold as really partners at the table, whether it be an account planning sessions, whether you're doing sales calls, but kind of leveraging that I call it a variable cost kind of off balance sheet, sales force really is where the future is going to continue to go. >> So you've been a successful individual sales contributor. You've been a CEO, you've run large sales organizations. I mean, you basically ran sales at HP for Donna Telly, and so you've seen it all, and you've been helping startups. When you look at hiring sales people, what are the attributes that you look for? Is it intelligence, is it hard work, is it coach ability? What are some of the things that are most important to you, and do you apply different attributes in different situations? What are your thoughts on that? >> Great question in a little plug, maybe for a recruiting business, top talent recruiting, (laughing) but one of the key things that we do, which I think is different from others in the recruiting side is the relationships. So a lot of people don't dig in, when we're talking to candidates, they say, well, nobody really asked me this before. And I would argue a key differentiator, and this is way before COVID, but especially now with COVID is okay, who do you have relationships with? So I could be talking to a candidate that maybe somebody is hiring, wants to cover financial services in New York. And then I'll say, okay, well, who do you know what City JPB Bay and I'll know more people than they know. And I'll probably say, just so you know, that's weird me up in Boston. I know more than the council you probably know the best. So really trying to unearth, really kind of who has the right relationships and then separate from that in terms of a reference check, being able to reference checks sooner in the process with somebody that know well firsthand, as opposed to second hand. And a lot of times I've seen even some of the larger, more expensive recruiting firms, you're kind of wait until somebody is the final say, when do an offer, then they do a reference check and they do the reference check with somebody that they don't know. And to me, I mean, that's totally useless which quite with LinkedIn today, I could be say if we're looking at you for candidate, maybe a bad example, but I don't know, we probably have a 1000 in common, and from those, we probably have 200 that we both know, well, that I could check. And when you do reference checking, it's not a maybe it's either, hey, the person is a yes, or the person's a no. So trying to do that early in the process, I think is a big differentiator. And then last and probably third piece I'd highlight is, if it's a startup company, you can't get somebody that's just from a big company. If it's a big company role, you can't get somebody that just from a small company, you got to really make sure you kind of peel back the onions and see where they're from. And you could have somebody from a big company, but they were kind of wearing a smaller division. So again, you have to kind of, you can't judge a book by the cover. You got to kind of peel back the onion. >> So Randy, how do people learn more about Sales Community? Where do they go to engage, sign up, et cetera? >> Absolutely, it's salescommunity.com. So it should be pretty straight forward. A lot of great information there. You can go subscribe, and if you like it spread the word and a lot of great content and you can ping me there. And if not I'm randy@salescommunity.com. So love to get any feedback, help out in any way we can. >> Well, I think it's critical that you're putting this network together and you are probably the best networker that I know I've seen you in action at gatherings and you really have been a great inspiration and a friend. So, Randy, thanks so much for doing the Sales Community and coming on theCUBE and sharing your experience with us. >> Great, thanks Dave, appreciate it. >> All right you're very welcome and thank you for watching everybody. This is Dave Vellante for theCUBE, and we'll see you next time. (upbeat music)
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leaders all around the world. and he's a founder of the Sales Community, and you were at IDC. talk to you guys, you know, and then you guys just crushed it. What are you trying to accomplish and down the food chain. and love participating with colleagues. and the kind of the tagline from a lot of the things that and as you said, it's crazy. and one of the principles it's not kind of off the cuff as we know, and what do you tell people there? and how are you going to focus and say, hey, how you doing today? different subject to think. I'll jump on and just, you and the channel side, the consulting side, So I got to ask you and that area is going to and you all in terms of, Well, and you mentioned but if you think about, you and do you apply different attributes So again, you have to kind of, and you can ping me there. and you are probably the and thank you for watching everybody.
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Thenu Kittappa, Anand Akela & Tajeshwar Singh | Introducing a New Era in Database Management
>>from around the globe. It's the Cube with digital coverage of a new era and database management brought to you by Nutanix. >>Welcome back. I'm still minimum and we're covering Nutanix Is New Era database launch Of course, we had to do instead of conversation with Monica Ambala talking about era to Dato and to dig into it a little bit further. We have some new tennis guests as well as what? One of their close partners. So going across the channel, first of all, happy to welcome to the program. Uh, the new kid UPA she is the gsc strategy and go to market with Nutanix sitting in the middle chair we have on and Akila whose product marketing leader with Nutanix and then from HCL happy to welcome to the program Tasing who is the senior vice president with HCL Technologies. I mentioned all three of you. Thank you so much for joining us. >>Glad to be here, >>right? Uh they knew What? Why don't we start with you? You handle the relationship between Nutanix and HCL. As I said, some exciting announcements database services help us understand how Ah partner like HCL takes the technology and what will help bring it to market. >>Let me start by thanking used to for this opportunity. Head Seal is a very significant partner for Nutanix and we've had this partnership for a long time now. It's one of our long standing partnership. Over the five years we've closed over 100 accounts across all three theaters. Trained professionals both on the Nutanix side on the outside, on built a 3 60 relationships so we can deliver the best experience around solutions to our partners. In the very recent announcement, we're looking to build a database as a service offering. With that CL we want Thio leverage are intelligent technology that allows us to simplify off and increase operating efficiency. Andi Couple it with head seals ability to offer world class services on it. It's a scale to reach the go to market needs needed right. We're very confident that the solution is going to drive significant incremental business for both our companies. >>Excellent taste. We would love to hear from your standpoint. What is it that excites you? We we know HCL knows the data space real well. So I think you've got some customers that air looking to take advantage of some of these new offerings. >>Yeah, So if you look at where the focus has been so far, most of the focus is on taking applications to cloud and moving them from VM two probably containers one of the most. Uh, I won't say, uh, neglected, but the space that needs to change now is the entire database space on. If you look at how customers are managing databases today, they have taken hardware on a KPIX model. They have the operating system and the database licenses on L. A model from the E. M s on. Then they have, ah, teams which are siloed depending upon the database technology that is there in the environment and managing that I think that whole model is has to change, enabling customers to transform Onda accelerate the digital transformation journey on. That is where our offering off database as a service ises very unique because it offers a full stack off services which includes right from hardware and all the way to operations on a completely utility model powered by the Nutanix era. >>Yeah, on it might make sense if you could give us a little bit of a broader context for your users. Some of the data that you have around this offering, >>yeah, you know, attend effect. All the solution, our joint solutions. Our customers, uh, they are trying to deliver the best individual experience, right? That's at the heart of it. What they're trying to do, I'll give you a couple of customer examples. For example, Arbil Bank in India. You know, they deployed their database solutions and applications, and Nutanix got 16 fasters application response. That means like they used to take 180 seconds. Uh, Thio logging into the application. And now it's, uh, 20 seconds, 36 times faster. Another example I could give. I can give many examples, but when this one is really interesting, Delaware Valley community held, you know, at the time of Kobe they went remote. They started working from home and they had medical systems applications. EMR electronic medical record applications and used to take even before they were working from home, is take like 171 seconds to log into medical systems before they could, you know, talk to their patients and look at their, you know, health results and everything and that from 171 seconds, it went to 19 seconds. So these are some of the values that customers seeing when it comes to delivering the individual experience to their customers. >>Yeah, absolutely. We've seen police stage go ahead. >>Yeah, and I just had to What men? Who said that? It's also the ability tohave self service with dynamic provisioning capability that really brings the value toe the to the I T teams and to the application teams who are consuming these services. So we have cases where customers were waiting for about a week, 10 days for the environments to be provisioned to them. And now it's a matter of seconds or minutes where they can have a full fledged environments leading to develop a productivity. And that also really adds the whole acceleration that we just spoke about. >>Yeah, we we've absolutely seen such a transformation in database for the longest time. It was, you know, a database. It didn't change too much. That's what everything run on Now there's a lot of flexibility. Open source is a big piece of what's going on there. I'd like to come back to you and you know, they know. I know you're gonna want to chime in here. You know, HCL doesn't just, you know, take this off the shelf and, you know, resell it, help us understand. You know what is unique about the offering that that HCL brings market? Uh, with with >>Nutanix. Right. So one is that we have standardized reference architectures, which really x ray the time to consume the offering. We're not building anything from from from ground up. Three Nutanix is also part off our velocity framework, which helps customers deploy software defined infrastructure as the as a foundation element for their for their private cloud. Now, what is unique is also the ability toe not only provide operations on different databases that are there in the environment on a completely utility model, but also help customers, you know, move to cloud and adopt the database clouded of databases and then manage the whole show seamlessly using using the BP platform and that really, you know, if you look at the trend that is there, there's a short term impact on the long term impact off transformation. In the short term, there's hardly an industry which is not touched by by covert on most of our customers are either looking at cost or initiatives or are looking at ah platform, which will help them in a weight or find new business model to to sail through. In the long term, we strongly believe that the customers will be in a hybrid, multi cloud world where they will still have the heritage environments. The article and the Sequels on a lot off cloud native data business will also start coming into picture. How do you manage is also seamlessly is what will be the next challenge for for most of the customers. And that's where we come in, along with Nutanix, to solve the problem. >>Well, very simply put right, we have different categories of customers. One off them refers to buy the ingredients and make their own meal on some really large customers, and global customers prefer to buy the meal and pay for it on on as consumer basis. What that seal does is take era, which simplifies a lot of the database operations, puts it into a full stack solution and gives the customer the full stack solution. Everything from assessing that environment to deploying, to making sure that the designers I accurate and then of course, the day and through they do through and, uh, uh, environment, right. So literally the customer can Now I'll offload any off their data center, our database management and operation to hit cl from my perspective on do rest assured, run their projects toe, etc. Also, excel becomes their extended arm, the beauty off. It is also like working with dead C. Elgar now able to offer the entire solution on a pay as you go model or pay as you use model, which is very relevant to the existing times where everybody is trying to cut their Catholics costs and and optimized on the utilization. >>Well, great. Great to hear about that. You've mentioned that this partnership has been for many years, so I know you've got plenty of joint customers. Anything specifically could share about these new offerings on. And I know you've got a lot of the customer stories there. Maybe you could start would look love, freedom. The rest of you, >>Thio, I'll start what? You know, Like I talked about a couple of customers. But recently I'm really excited about. And this is something that to be a announcing today as well. Ah, study that we did with Forrester called Forrester T I study, which is what it means total economic impact study. And what they do is that they topped with customers, uh, interviewed them, four of them. And based on their experience, uh, you know what? They observe what kind of benefit they got, what challenges they had, what was cause they built an economic model. And based on that economic model, they found that customers were rolled all off them were able to get their payback within six months. So Bala talked about it earlier that, you know, like all the great experience, all the great value that we offer, but at a very, very good cost. So the six less than six months payback was used and the r y for the three years period and again, this is ah, model based on four enterprises was 2 91 100% almost like three times mawr. So whatever they invested, I think on an average day the cost was 2.3 million and the benefit was nine million or so so huge value customers have observed already. And with this new launch, I believe that it will just go to the next level. All the things about provisioning copy data saving that the stories All of that adds to the R Y that I'm talking about and our joint customers with SCL or otherwise, who are customers who are running their applications, their business critical applications on you can X Platform managed by era an era is built out off a bunch off best practices that over time that we have done. I talked about custom performance earlier, and a lot of the performance comes from fine tuning. You do that like a lot of tea tuning and to get to the right kind of performance. Uh, era comes with that, those best practices. So when your provisioning an application, you know, it gives you you don't have to do all that tuning. So that's the value customers are experiencing. And I'm really excited about the joint customers what they could experience and benefit out off the new expanded solution. >>Great Tiger. Any other customer examples that you'd like to share? >>Well, we got a lot of go ahead page, >>but it's okay. >>No, I was just saying that we've had a lot of success with Head cl across the board anywhere from data center organization Thio v. D. I. We had a very large manufacturing company in America where we partner together. They have a huge number of sub brands. We partnered together to go evaluate that environment and then also even that is a B infrastructure with databases. It's a relatively new offering we're announcing today. But we're leveraging the expertise that SCL has in the market, uh, to go to go deeper into that market with cl eso. I will leave it to page to give us the NCL examples. >>So one thing that is happening is the very definition off infrastructure and infrastructure operation itself is changing. So a couple of years ago, for many of our customers, it was about operating system management, hardware management, network management and all the use. Uh, the concept that you're going back to customer is about platform operations. That means everything to do with application operations. Downward is going to be done by one integrated unit. Now, with Nutanix, we can we can really bring a lot of change, and we're bringing a lot of change in our in the operations model for for lot off a large customers where earlier you had siloed teams around Compute network storage, offering system databases both at the Level two and level three, and you had a level one, which was basically command center. Now, we're saying is that with the artificial intelligence and machine learning driven OBS, you can practically eliminate the need for command center on the level two layer because the platform enables you toe be multi skilled. You need not have siloed engineers looking after databases separately on and operating system separately. You can have the same sort of people who are cross train, multi skilled, looking at the entire state. On at level three. You may want to keep people who are deep into databases as a separate team, then from people who are managing the Nutanix platform, which is a combination off compute storage and and and and the SCN. So that's the change that we're bringing. A lot of our customers were going about infrastructure, platform modernization, Azaz, the public cloud or hybrid clubs. >>Well, I think you're really articulated well, that modernization journey we've seen so many companies going through. The thing I've been saying with Nutanix for years is modernize the platform, then you can modernize everything that runs on top of it. All the applications on, of course, did databases a major piece of this on. And that brings up a point I want to get your take on. We haven't talked about developers, you know, the DEV ops trend. Something we've seen, you know, huge growth for for a number of years. So what >>does this >>mean from developers? This something that you know, mostly the infrastructure team's gonna handle. Or how do you bridge that gap to the people that really are? You know, building and building and building the APS. >>Yeah. And in this digital world, you know the cycle time from idea to production. Everyone is trying to reduce that. What that means is that things are moving left. People are trying to develop and test early in the life cycle when it is easy to find a problem and easy to and cheaper to fix. Right. So for that, you need a your application environment, your application and database available to test and develop in, uh, you know, like in volume. And that's where databases the service era helps developers and develops professionals to provision in the whole infrastructure for testing and involvement in hundreds and thousands of them at the same time without, you know, worrying about the storage back back and how much story it is consuming. So it is. It helps developers to to really expedite their development and testing left lifecycle ultimately resulting in excellent and unique experience. >>Yeah, absolutely way no. Of just moving faster. Being able to respond to the business so critically important. Uh, they know Tasia wanna let you have the final word Talk about the partnership and what we should expect, you know, in the coming months and quarters. >>So, uh, I'll go first. And then we can come in, uh, a salon and Nutanix you to share the same values where we believe that we need to provide a very innovative platform for our customers to accelerate their digital transformation journey. No matter what it is right, we share common values and way have a 3 60 degree relationship. It started way back in 2015 and we have come a long way since then. A C also does engineering services for for Nutanix, and we have closed about 850 r plus people who has prayed and 35 on Nutanix Solutions. Providing manage services to our customers on Nutanix is also part off our software defined infrastructure portfolio on we're taking it to our customers as part of our entire infrastructure platform modernization that, I suppose talk about earlier three recent announcement off Nutanix clusters running on AWS. I think it's a significant announcement and it will provide a lot off options to our customers. And as an S, I, uh, you know, we are able to bring a lot of value to our customers. We're looking at adopting cloud the database as a service offering. I think we're very excited about it. I I think we have about 300 plus customers, and many of them are still stuck with the way they are managing databases the old way. And we can bring in a lot of value to those customers, whether it is about reducing cars or increasing agility or helping them modern ice, The platform one ended up hybrid multi club >>business critical lapse are growing, are still growing, and data is pretty much gold in these scenarios, right? It's it's doubling every two years, if not more with every transaction being remote today with zeal. We actually look forward to addressing that market and optimizing the environment for our customers. Both of our companies believe in partnership crossed and the customer first mindset. And when you have that belief, trust comes with delivering the best experience to our customers. So we're looking forward to this partnership and you're looking forward to growing our joint revenue and modernizing our customers platforms with this often? >>Well, I wanna thank all three of you for for sharing the exciting news. Absolutely. It looks like a strong partnership. Lots of potential there for the future. So thank you so much for joining us. Thank you for >>having thank you. Mhm. >>All right, when I think the audience were watching this lot with Nutanix, the new era in database management personally, a big thank you to the Nutanix community has been a pleasure being able to host these interviews with Nutanix for for many years. So I'm still minimum and thank you as always for watching the Cube
SUMMARY :
coverage of a new era and database management brought to you by Nutanix. and go to market with Nutanix sitting in the middle chair we have on and Ah partner like HCL takes the technology and what will help bring it to the solution is going to drive significant incremental business for both our companies. What is it that excites you? most of the focus is on taking applications to cloud and moving them from VM two probably containers Some of the data that you have around this offering, before they could, you know, talk to their patients and look at their, Yeah, absolutely. And that also really adds the whole acceleration that we just spoke about. I'd like to come back to you and you know, and that really, you know, if you look at the trend that is there, there's a short term impact C. Elgar now able to offer the entire solution on a pay as you go model Maybe you could start would look love, of that adds to the R Y that I'm talking about and our joint customers with SCL Any other customer examples that you'd like to share? to go to go deeper into that market with cl eso. both at the Level two and level three, and you had a level one, which was basically command center. We haven't talked about developers, you know, the DEV ops trend. This something that you know, mostly the infrastructure team's gonna handle. at the same time without, you know, worrying about the storage back and what we should expect, you know, in the coming months and quarters. And as an S, I, uh, you know, we are able to bring a lot of value to our customers. Both of our companies believe in partnership crossed and the customer first mindset. So thank you so much for joining having thank you. So I'm still minimum and thank you as always
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Diversity, Inclusion & Equality Leadership Panel | CUBE Conversation, September 2020
>> Announcer: From theCUBE studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is theCUBE conversation. >> Hey, welcome back everybody Jeff Frick here with the cube. This is a special week it's Grace Hopper week, and Grace Hopper is the best name in tech conferences. The celebration of women in computing, and we've been going there for years we're not there this year, but one of the themes that comes up over and over at Grace Hopper is women and girls need to see women in positions that they can envision themselves being in someday. That is a really important piece of the whole diversity conversation is can I see people that I can role model after and I just want to bring up something from a couple years back from 2016 when we were there, we were there with Mimi Valdez, Christina Deoja and Dr. Jeanette Epps, Dr. Jeanette Epps is the astronaut on the right. They were there talking about "The Hidden Figures" movie. If you remember it came out 2016, it was about Katherine Johnson and all the black women working at NASA. They got no credit for doing all the math that basically keep all the astronauts safe and they made a terrific movie about it. And Janet is going up on the very first Blue Origin Space Mission Next year. This was announced a couple of months ago, so again, phenomenal leadership, black lady astronaut, going to go into space and really provide a face for a lot of young girls that want to get into that and its clearly a great STEM opportunity. So we're excited to have four terrific women today that well also are the leaders that the younger women can look up to and follow their career. So we're excited to have them so we're just going to go around. We got four terrific guests, our first one is Annabel Chang, She is the Head of State Policy and Government Regulations at Waymo. Annabel great to see you, where are you coming in from today? >> from San Francisco >> Jeff: Awesome. Next up is Inamarie Johnson. She is the Chief People and Diversity Officer for Zendesk Inamarie, great to see you. Where are you calling in from today? >> Great to be here. I am calling in from Palos Verdes the state >> Jeff: awesome >> in Southern California. >> Jeff: Some of the benefits of a virtual sometimes we can, we couldn't do that without the power of the internet. And next up is Jennifer Cabalquinto she is the Chief Financial Officer of the Golden State Warriors. Jennifer, great to see you Where are you coming in from today? >> Well, I wish I was coming in from the Chase Center in San Francisco but I'm actually calling in from Santa Cruz California today. >> Jeff: Right, It's good to see you and you can surf a lot better down there. So that's probably not all bad. And finally to round out our panelists, Kate Hogan, she is the COO of North America for Accenture. Kate, great to see you as well. Where are you coming in from today? >> Well, it's good to see you too. I am coming in from the office actually in San Jose. >> Jeff: From the office in San Jose. All right, So let's get into it . You guys are all very senior, you've been doing this for a long time. We're in a kind of a crazy period of time in terms of diversity with all the kind of social unrest that's happening. So let's talk about some of your first your journeys and I want to start with you Annabel. You're a lawyer you got into lawyering. You did lawyering with Diane Feinstein, kind of some politics, and also the city of San Francisco. And then you made this move over to tech. Talk about that decision and what went into that decision and how did you get into tech? 'cause we know part of the problem with diversity is a pipeline problem. You came over from the law side of the house. >> Yes, and to be honest politics and the law are pretty homogenous. So when I made the move to tech, it was still a lot of the same, but what I knew is that I could be an attorney anywhere from Omaha Nebraska to Miami Florida. But what I couldn't do was work for a disruptive company, potentially a unicorn. And I seized that opportunity and (indistinct) Lyft early on before Ride Hailing and Ride Sharing was even a thing. So it was an exciting opportunity. And I joined right at the exact moment that made myself really meaningful in the organization. And I'm hoping that I'm doing the same thing right now at Waymo. >> Great, Inamarie you've come from one of my favorite stories I like to talk about from the old school Clorox great product management. I always like to joke that Silicon Valley needs a pipeline back to Cincinnati and Proctor and Gamble to get good product managers out here. You were in the classic, right? You were there, you were at Honeywell Plantronics, and then you jumped over to tech. Tell us a little bit about that move. Cause I'm sure selling Clorox is a lot different than selling the terrific service that you guys provide at Zendesk. I'm always happy when I see Zendesk in my customer service return email, I know I'm going to get taken care of. >> Oh wow, that's great. We love customers like you., so thank you for that. My journey is you're right from a fortune 50 sort of more portfolio type company into tech. And I think one of the reasons is because when tech is starting out and that's what Zendesk was a few five years back or so very much an early stage growth company, two things are top of mind, one, how do we become more global? And how do we make sure that we can go up market and attract enterprise grade customers? And so my experience having only been in those types of companies was very interesting for a startup. And what was interesting for me is I got to live in a world where there were great growth targets and numbers, things I had never seen. And the agility, the speed, the head plus heart really resonated with my background. So super glad to be in tech, but you're right. It's a little different than a consumer products. >> Right, and then Jennifer, you're in a completely different world, right? So you worked for the Golden State Warriors, which everybody knows is an NBA team, but I don't know that everyone knows really how progressive the Warriors are beyond just basketball in terms of the new Chase Center, all the different events that you guys put on it. And really the leadership there has decided we really want to be an entertainment company of which the Golden State Warrior basketball team has a very, very important piece, you've come from the entertainment industry. So that's probably how they found you, but you're in the financial role. You've always been in the financial role, not traditionally thought about as a lot of women in terms of a proportion of total people in that. So tell us a little bit about your experience being in finance, in entertainment, and then making this kind of hop over to, I guess Uber entertainment. I don't know even how you would classify the warriors. >> Sports entertainment, live entertainment. Yeah, it's interesting when the Warriors opportunity came up, I naturally said well no, I don't have any sports background. And it's something that we women tend to do, right? We self edit and we want to check every box before we think that we're qualified. And the reality is my background is in entertainment and the Warriors were looking to build their own venue, which has been a very large construction project. I was the CFO at Universal Studios Hollywood. And what do we do there? We build large attractions, which are just large construction projects and we're in the entertainment business. And so that sort of B to C was a natural sort of transition for me going from where I was with Universal Studios over to the Warriors. I think a finance career is such a great career for women. And I think we're finding more and more women entering it. It is one that you sort of understand your hills and valleys, you know when you're going to be busy and so you can kind of schedule around that. I think it's really... it provides that you have a seat at the table. And so I think it's a career choice that I think is becoming more and more available to women certainly more now than it was when I first started. >> Yeah, It's interesting cause I think a lot of people think of women naturally in human resources roles. My wife was a head of human resources back in the day, or a lot of marketing, but not necessarily on the finance side. And then Kate go over to you. You're one of the rare birds you've been at Accenture for over 20 years. So you must like airplanes and travel to stay there that long. But doing a little homework for this, I saw a really interesting piece of you talking about your boss challenging you to ask for more work, to ask for a new opportunity. And I thought that was really insightful that you, you picked up on that like Oh, I guess it's incumbent on me to ask for more, not necessarily wait for that to be given to me, it sounds like a really seminal moment in your career. >> It was important but before I tell you that story, because it was an important moment of my career and probably something that a lot of the women here on the panel here can relate to as well. You mentioned airplanes and it made me think of my dad. My father was in the air force and I remember him telling stories when I was little about his career change from the air force into a career in telecommunications. So technology for me growing up Jeff was, it was kind of part of the dinner table. I mean it was just a conversation that was constantly ongoing in our house. And I also, as a young girl, I loved playing video games. We had a Tandy computer down in the basement and I remember spending too many hours playing video games down there. And so for me my history and my really at a young age, my experience and curiosity around tech was there. And so maybe that's, what's fueling my inspiration to stay at Accenture for as long as I have. And you're right It's been two decades, which feels tremendous, but I've had the chance to work across a bunch of different industries, but you're right. I mean, during that time and I relate with what Jennifer said in terms of self editing, right? Women do this and I'm no exception, I did this. And I do remember I'm a mentor and a sponsor of mine who called me up when I'm kind of I was at a pivotal moment in my career and he said you know Kate, I've been waiting for you to call me and tell me you want this job. And I never even thought about it. I mean I just never thought that I'd be a candidate for the job and let alone somebody waiting for me to kind of make the phone call. I haven't made that mistake again, (laughing) but I like to believe I learned from it, but it was an important lesson. >> It's such a great lesson and women are often accused of being a little bit too passive and not necessarily looking out for in salary negotiations or looking for that promotion or kind of stepping up to take the crappy job because that's another thing we hear over and over from successful people is that some point in their career, they took that job that nobody else wanted. They took that challenge that really enabled them to take a different path and really a different Ascension. And I'm just curious if there's any stories on that or in terms of a leader or a mentor, whether it was in the career, somebody that you either knew or didn't know that was someone that you got kind of strength from kind of climbing through your own, kind of career progression. Will go to you first Annabel. >> I actually would love to talk about the salary negotiations piece because I have a group of friends about that we've been to meeting together once a month for the last six years now. And one of the things that we committed to being very transparent with each other about was salary negotiations and signing bonuses and all of the hard topics that you kind of don't want to talk about as a manager and the women that I'm in this group with span all types of different industries. And I've learned so much from them, from my different job transitions about understanding the signing bonus, understanding equity, which is totally foreign to me coming from law and politics. And that was one of the most impactful tools that I've ever had was a group of people that I could be open with talking about salary negotiations and talking about how to really manage equity. Those are totally foreign to me up until this group of women really connected me to these topics and gave me some of that expertise. So that is something I strongly encourage is that if you haven't openly talked about salary negotiations before you should begin to do so. >> It begs the question, how was the sensitivity between the person that was making a lot of money and the person that wasn't? And how did you kind of work through that as a group for the greater good of everyone? >> Yeah, I think what's really eye opening is that for example, We had friends who were friends who were on tech, we had friends who were actually the entrepreneurs starting their own businesses or law firm, associates, law firm partners, people in PR, so we understood that there was going to be differences within industry and frankly in scale, but it was understanding even the tools, whether I think the most interesting one would be signing bonus, right? Because up until a few years ago, recruiters could ask you what you made and how do you avoid that question? How do you anchor yourself to a lower salary range or avoid that happening? I didn't know this, I didn't know how to do that. And a couple of women that had been in more senior negotiations shared ways to make sure that I was pinning myself to a higher salary range that I wanted to be in. >> That's great. That's a great story and really important to like say pin. it's a lot of logistical details, right? You just need to learn the techniques like any other skill. Inamarie, I wonder if you've got a story to share here. >> Sure. I just want to say, I love the example that you just gave because it's something I'm super passionate about, which is transparency and trust. Then I think that we're building that every day into all of our people processes. So sure, talk about sign on bonuses, talk about pay parody because that is the landscape. But a quick story for me, I would say is all about stepping into uncertainty. And when I coach younger professionals of course women, I often talk about, don't be afraid to step into the role where all of the answers are not vetted down because at the end of the day, you can influence what those answers are. I still remember when Honeywell asked me to leave the comfort of California and to come to the East coast to New Jersey and bring my family. And I was doing well in my career. I didn't feel like I needed to do that, but I was willing after some coaching to step into that uncertainty. And it was one of the best pivotal moment in my career. I didn't always know who I was going to work with. I didn't know the challenges and scope I would take on, but those were some of the biggest learning experiences and opportunities and it made me a better executive. So that's always my coaching, like go where the answers aren't quite vetted down because you can influence that as a leader. >> That's great, I mean, Beth Comstock former vice chair at GE, one of her keynotes I saw had a great line, get comfortable with being uncomfortable. And I think that its a really good kind of message, especially in the time we're living in with accelerated change. But I'm curious, Inamarie was the person that got you to take that commitment. Would you consider that a sponsor, a mentor, was it a boss? Was it maybe somebody not at work, your spouse or a friend that said go for it. What kind of pushed you over the edge to take that? >> It's a great question. It was actually the boss I was going to work for. He was the CHRO, and he said something that was so important to me that I've often said it to others. And he said trust me, he's like I know you don't have all the answers, I know we don't have this role all figured out, I know you're going to move your family, but if you trust me, there is a ton of learning on the other side of this. And sometimes that's the best thing a boss can do is say we will go on this journey together. I will help you figure it out. So it was a boss, but I think it was that trust and that willingness for him to stand and go alongside of me that made me pick up my family and be willing to move across the country. And we stayed five years and really, I am not the same executive because of that experience. >> Right, that's a great story, Jennifer, I want to go to you, you work for two owners that are so progressive and I remember when Joe Lacob came on the floor a few years back and was booed aggressively coming into a franchise that hadn't seen success in a very long time, making really aggressive moves in terms of personnel, both at the coaches and the players level, the GM level. But he had a vision and he stuck to it. And the net net was tremendous success. I wonder if you can share any of the stories, for you coming into that organization and being able to feel kind of that level of potential success and really kind of the vision and also really a focus on execution to make the vision real cause vision without execution doesn't really mean much. If you could share some stories of working for somebody like Joe Lacob, who's so visionary but also executes so very, very effectively. >> Yeah, Joe is, well I have the honor of working for Joe, for Rick Welts to who's our president. Who's living legend with the NBA with Peter Guber. Our leadership at the Warriors are truly visionary and they set audacious targets. And I would say from a story the most recent is, right now what we're living through today. And I will say Joe will not accept that we are not having games with fans. I agree he is so committed to trying to solve for this and he has really put the organization sort of on his back cause we're all like well, what do we do? And he has just refused to settle and is looking down every path as to how do we ensure the safety of our fans, the safety of our players, but how do we get back to live entertainment? And this is like a daily mantra and now the entire organization is so focused on this and it is because of his vision. And I think you need leaders like that who can set audacious goals, who can think beyond what's happening today and really energize the entire organization. And that's really what he's done. And when I talked to my peers and other teams in there they're talking about trying to close out their season or do these things. And they're like well, we're talking about, how do we open the building? And we're going to have fans, we're going to do this. And they look at me and they're like, what are you talking about? And I said, well we are so fortunate. We have leadership that just is not going to settle. Like they are just always looking to get out of whatever it is that's happening and fix it. So Joe is so committed His background, he's an epidemiologist major I think. Can you imagine how unique a background that is and how timely. And so his knowledge of just around the pandemic and how the virus is spread. And I mean it's phenomenal to watch him work and leverage sort of his business acumen, his science acumen and really think through how do we solve this. Its amazing. >> The other thing thing that you had said before is that you basically intentionally told people that they need to rethink their jobs, right? You didn't necessarily want to give them permission to get you told them we need to rethink their jobs. And it's a really interesting approach when the main business is just not happening, right? There's just no people coming through the door and paying for tickets and buying beers and hotdogs. It's a really interesting talk. And I'm curious, kind of what was the reception from the people like hey, you're the boss, you just figure it out or were they like hey, this is terrific that he pressed me to come up with some good ideas. >> Yeah, I think when all of this happened, we were resolved to make sure that our workforce is safe and that they had the tools that they needed to get through their day. But then we really challenged them with re imagining what the next normal is. Because when we come out of this, we want to be ahead of everybody else. And that comes again from the vision that Joe set, that we're going to use this time to make ourselves better internally because we have the time. I mean, we had been racing towards opening Chase Center and not having time to pause. Now let's use this time to really rethink how we're doing business. What can we do better? And I think it's really reinvigorated teams to really think and innovate in their own areas because you can innovate anything, right?. We're innovating how you pay payables, we're all innovating, we're rethinking the fan experience and queuing and lines and all of these things because now we have the time that it's really something that top down we want to come out of this stronger. >> Right, that's great. Kate I'll go to you, Julie Sweet, I'm a big fan of Julie Sweet. we went to the same school so go go Claremont. But she's been super aggressive lately on a lot of these things, there was a get to... I think it's called Getting to 50 50 by 25 initiative, a formal initiative with very specific goals and objectives. And then there was a recent thing in terms of doing some stuff in New York with retraining. And then as you said, military being close to your heart, a real specific military recruiting process, that's formal and in place. And when you see that type of leadership and formal programs put in place not just words, really encouraging, really inspirational, and that's how you actually get stuff done as you get even the consulting businesses, if you can't measure it, you can't improve it. >> Yeah Jeff, you're exactly right. And as Jennifer was talking, Julie is exactly who I was thinking about in my mind as well, because I think it takes strong leadership and courage to set bold bold goals, right? And you talked about a few of those bold goals and Julie has certainly been at the forefront of that. One of the goals we set in 2018 actually was as you said to achieve essentially a gender balance workforce. So 50% men, 50% women by 2025, I mean, that's ambitious for any company, but for us at the time we were 400,000 people. They were 500, 6,000 globally. So when you set a goal like that, it's a bold goal and it's a bold vision. And we have over 40% today, We're well on our path to get to 50%, I think by 2025. And I was really proud to share that goal in front of a group of 200 clients the day that it came out, it's a proud moment. And I think it takes leaders like Julie and many others by the way that are also setting bold goals, not just in my company to turn the dial here on gender equality in the workforce, but it's not just about gender equality. You mentioned something I think it's probably at as, or more important right now. And that's the fact that at least our leadership has taken a Stand, a pretty bold stand against social injustice and racism, >> Right which is... >> And so through that we've made some very transparent goals in North America in terms of the recruitment and retention of our black African American, Hispanic American, Latinex communities. We've set a goal to increase those populations in our workforce by 60% by 2025. And we're requiring mandatory training for all of our people to be able to identify and speak up against racism. Again, it takes courage and it takes a voice. And I think it takes setting bold goals to make a change and these are changes we're committed to. >> Right, that's terrific. I mean, we started the conversation with Grace Hopper, they put out an index for companies that don't have their own kind of internal measure to do surveys again so you can get kind of longitudinal studies over time and see how you're improving Inamarie, I want to go to you on the social justice thing. I mean, you've talked a lot about values and culture. It's a huge part of what you say. And I think that the quote that you use, if I can steal it is " no culture eats strategy for breakfast" and with the social injustice. I mean, you came out with special values just about what Zendesk is doing on social injustice. And I thought I was actually looking up just your regular core mission and value statement. And this is what came up on my Google search. So I wanted to A, you published this in a blog in June, taking a really proactive stand. And I think you mentioned something before that, but then you're kind of stuck in this role as a mind reader. I wonder if you can share a little bit of your thoughts of taking a proactive stand and what Zendesk is doing both you personally, as well as a company in supporting this. And then what did you say as a binder Cause I think these are difficult kind of uncharted waters on one hand, on the other hand, a lot of people say, hello, this has been going on forever. You guys are just now seeing cellphone footage of madness. >> Yeah Wow, there's a lot in there. Let me go to the mind reader comments, cause people are probably like, what is that about? My point was last December, November timing. I've been the Chief People Officer for about two years And I decided that it really was time with support from my CEO that Zendesk have a Chief Diversity Officer sitting in at the top of the company, really putting a face to a lot of the efforts we were doing. And so the mind reader part comes in little did I know how important that stance would become, in the may June Timing? So I joked that, it almost felt like I could have been a mind reader, but as to what have we done, a couple of things I would call out that I think are really aligned with who we are as a company because our culture is highly threaded with the concept of empathy it's been there from our beginning. We have always tried to be a company that walks in the shoes of our customers. So in may with the death of George Floyd and the world kind of snapping and all of the racial injustice, what we said is we wanted to not stay silent. And so most of my postings and points of view were that as a company, we would take a stand both internally and externally and we would also partner with other companies and organizations that are doing the big work. And I think that is the humble part of it, we can't do it all at Zendesk, we can't write all the wrongs, but we can be in partnership and service with other organizations. So we used funding and we supported those organizations and partnerships. The other thing that I would say we did that was super important along that empathy is that we posted space for our employees to come together and talk about the hurt and the pain and the experiences that were going on during those times and we called those empathy circles. And what I loved is initially, it was through our mosaic community, which is what we call our Brown and black and persons of color employee resource group. But it grew into something bigger. We ended up doing five of these empathy circles around the globe and as leadership, what we were there to do is to listen and stand as an ally and support. And the stories were life changing. And the stories really talked about a number of injustice and racism aspects that are happening around the world. And so we are committed to that journey, we will continue to support our employees, we will continue to partner and we're doing a number of the things that have been mentioned. But those empathy circles, I think were definitely a turning point for us as an organization. >> That's great, and people need it right? They need a place to talk and they also need a place to listen if it's not their experience and to be empathetic, if you just have no data or no knowledge of something, you need to be educated So that is phenomenal. I want to go to you Jennifer. Cause obviously the NBA has been very, very progressive on this topic both as a league, and then of course the Warriors. We were joking before. I mean, I don't think Steph Curry has ever had a verbal misstep in the history of his time in the NBA, the guy so eloquent and so well-spoken, but I wonder if you can share kind of inside the inner circle in terms of the conversations, that the NBA enabled right. For everything from the jerseys and going out on marches and then also from the team level, how did that kind of come down and what's of the perception inside the building? >> Sure, obviously I'm so proud to be part of a league that is as progressive and has given voice and loud, all the teams, all the athletes to express how they feel, The Warriors have always been committed to creating a diverse and equitable workplace and being part of a diverse and equitable community. I mean that's something that we've always said, but I think the situation really allowed us, over the summer to come up with a real formal response, aligning ourselves with the Black Lives Matter movement in a really meaningful way, but also in a way that allows us to iterate because as you say, it's evolving and we're learning. So we created or discussed four pillars that we wanted to work around. And that was really around wallet, heart, beat, and then tongue or voice. And Wallet is really around putting our money where our mouth is, right? And supporting organizations and groups that aligned with the values that we were trying to move forward. Heart is around engaging our employees and our fan base really, right? And so during this time we actually launched our employee resource groups for the first time and really excited and energized about what that's doing for our workforce. This is about promoting real action, civic engagement, advocacy work in the community and what we've always been really focused in a community, but this really hones it around areas that we can all rally around, right? So registration and we're really focused on supporting the election day results in terms of like having our facilities open to all the electorate. So we're going to have our San Francisco arena be a ballot drop off, our Oakland facilities is a polling site, Santa Cruz site is also a polling location, So really promoting sort of that civic engagement and causing people to really take action. heart is all around being inclusive and developing that culture that we think is really reflective of the community. And voice is really amplifying and celebrating one, the ideas, the (indistinct) want to put forth in the community, but really understanding everybody's culture and really just providing and using the platform really to provide a basis in which as our players, like Steph Curry and the rest want to share their own experiences. we have a platform that can't be matched by any pedigree, right? I mean, it's the Warriors. So I think really getting focused and rallying around these pillars, and then we can iterate and continue to grow as we define the things that we want to get involved in. >> That's terrific. So I have like pages and pages and pages of notes and could probably do this for hours and hours, but unfortunately we don't have that much time we have to wrap. So what I want to do is give you each of you the last word again as we know from this problem, right? It's not necessarily a pipeline problem, it's really a retention problem. We hear that all the time from Girls in Code and Girls in Tech. So what I'd like you to do just to wrap is just a couple of two or three sentences to a 25 year old, a young woman sitting across from you having coffee socially distanced about what you would tell her early in the career, not in college but kind of early on, what would the be the two or three sentences that you would share with that person across the table and Annabel, we'll start with you. >> Yeah, I will have to make a pitch for transportation. So in transportation only 15% of the workforce is made up of women. And so my advice would be that there are these fields, there are these opportunities where you can make a massive impact on the future of how people move or how they consume things or how they interact with the world around them. And my hope is that being at Waymo, with our self driving car technology, that we are going to change the world. And I am one of the initial people in this group to help make that happen. And one thing that I would add is women spend almost an hour a day, shuttling their kids around, and we will give you back that time one day with our self driving cars so that I'm a mom. And I know that that is going to be incredibly powerful on our daily lives. >> Jeff: That's great. Kate, I think I might know what you're already going to say, but well maybe you have something else you wanted to say too. >> I don't know, It'll be interesting. Like if I was sitting across the table from a 25 year old right now I would say a couple of things first I'd say look intentionally for a company that has an inclusive culture. Intentionally seek out the company that has an inclusive culture, because we know that companies that have inclusive cultures retain women in tech longer. And the companies that can build inclusive cultures will retain women in tech, double, double the amount that they are today in the next 10 years. That means we could put another 1.4 million women in tech and keep them in tech by 2030. So I'd really encourage them to look for that. I'd encouraged them to look for companies that have support network and reinforcements for their success, and to obviously find a Waymo car so that they can not have to worry where kids are on for an hour when you're parenting in a few years. >> Jeff: I love the intentional, it's such a great word. Inamarie, >> I'd like to imagine that I'm sitting across from a 25 year old woman of color. And what I would say is be authentically you and know that you belong in the organization that you are seeking and you were there because you have a unique perspective and a voice that needs to be heard. And don't try to be anything that you're not, be who you are and bring that voice and that perspective, because the company will be a better company, the management team will be a better management team, the workforce will be a better workforce when you belong, thrive and share that voice. >> I love that, I love that. That's why you're the Chief People Officer and not Human Resources Officer, cause people are not resources like steel and cars and this and that. All right, Jennifer, will go to you for the wrap. >> Oh my gosh, I can't follow that. But yes, I would say advocate for yourself and know your value. I think really understanding what you're worth and being willing to fight for that is critical. And I think it's something that women need to do more. >> Awesome, well again, I wish we could go all day, but I will let you get back to your very, very busy day jobs. Thank you for participating and sharing your insight. I think it's super helpful. And there and as we said at the beginning, there's no better example for young girls and young women than to see people like you in leadership roles and to hear your voices. So thank you for sharing. >> Thank you. >> All right. >> Thank you. >> Okay thank you. >> Thank you >> All right, so that was our diversity panel. I hope you enjoyed it, I sure did. I'm looking forward to chapter two. We'll get it scheduled as soon as we can. Thanks for watching. We'll see you next time. (upbeat music)
SUMMARY :
leaders all around the world, and Grace Hopper is the best She is the Chief People and from Palos Verdes the state Jennifer, great to see you in from the Chase Center Jeff: Right, It's good to see you I am coming in from the and I want to start with you Annabel. And I joined right at the exact moment and then you jumped over to tech. And the agility, the And really the leadership And so that sort of B to And I thought that was really insightful but I've had the chance to work across that was someone that you and the women that I'm in this group with and how do you avoid that question? You just need to learn the techniques I love the example that you just gave over the edge to take that? And sometimes that's the And the net net was tremendous success. And I think you need leaders like that that they need to rethink and not having time to pause. and that's how you actually get stuff done and many others by the way that And I think it takes setting And I think that the quote that you use, And I decided that it really was time that the NBA enabled right. over the summer to come up We hear that all the And I am one of the initial but well maybe you have something else And the companies that can Jeff: I love the intentional, and know that you belong go to you for the wrap. And I think it's something and to hear your voices. I hope you enjoyed it, I sure did.
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SEAGATE AI FINAL
>>C G technology is focused on data where we have long believed that data is in our DNA. We help maximize humanity's potential by delivering world class, precision engineered data solutions developed through sustainable and profitable partnerships. Included in our offerings are hard disk drives. As I'm sure many of you know, ah, hard drive consists of a slider also known as a drive head or transducer attached to a head gimbal assembly. I had stack assembly made up of multiple head gimbal assemblies and a drive enclosure with one or more platters, or just that the head stacked assembles into. And while the concept hasn't changed, hard drive technology has progressed well beyond the initial five megabytes, 500 quarter inch drives that Seagate first produced. And, I think 1983. We have just announced in 18 terabytes 3.5 inch drive with nine flatters on a single head stack assembly with dual head stack assemblies this calendar year, the complexity of these drives further than need to incorporate Edge analytics at operation sites, so G Edward stemming established the concept of continual improvement and everything that we do, especially in product development and operations and at the end of World War Two, he embarked on a mission with support from the US government to help Japan recover from its four time losses. He established the concept of continual improvement and statistical process control to the leaders of prominent organizations within Japan. And because of this, he was honored by the Japanese emperor with the second order of the sacred treasure for his teachings, the only non Japanese to receive this honor in hundreds of years. Japan's quality control is now world famous, as many of you may know, and based on my own experience and product development, it is clear that they made a major impact on Japan's recovery after the war at Sea Gate. The work that we've been doing and adopting new technologies has been our mantra at continual improvement. As part of this effort, we embarked on the adoption of new technologies in our global operations, which includes establishing machine learning and artificial intelligence at the edge and in doing so, continue to adopt our technical capabilities within data science and data engineering. >>So I'm a principal engineer and member of the Operations and Technology Advanced Analytics Group. We are a service organization for those organizations who need to make sense of the data that they have and in doing so, perhaps introduce a different way to create an analyzed new data. Making sense of the data that organizations have is a key aspect of the work that data scientist and engineers do. So I'm a project manager for an initiative adopting artificial intelligence methodologies for C Gate manufacturing, which is the reason why I'm talking to you today. I thought I'd start by first talking about what we do at Sea Gate and follow that with a brief on artificial intelligence and its role in manufacturing. And I'd like them to discuss how AI and machine Learning is being used at Sea Gate in developing Edge analytics, where Dr Enterprise and Cooper Netease automates deployment, scaling and management of container raised applications. So finally, I like to discuss where we are headed with this initiative and where Mirant is has a major role in case some of you are not conversant in machine learning, artificial intelligence and difference outside some definitions. To cite one source, machine learning is the scientific study of algorithms and statistical bottles without computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and inference Instead, thus, being seen as a subset of narrow artificial intelligence were analytics and decision making take place. The intent of machine learning is to use basic algorithms to perform different functions, such as classify images to type classified emails into spam and not spam, and predict weather. The idea and this is where the concept of narrow artificial intelligence comes in, is to make decisions of a preset type basically let a machine learn from itself. These types of machine learning includes supervised learning, unsupervised learning and reinforcement learning and in supervised learning. The system learns from previous examples that are provided, such as images of dogs that are labeled by type in unsupervised learning. The algorithms are left to themselves to find answers. For example, a Siris of images of dogs can be used to group them into categories by association that's color, length of coat, length of snout and so on. So in the last slide, I mentioned narrow a I a few times, and to explain it is common to describe in terms of two categories general and narrow or weak. So Many of us were first exposed to General Ai in popular science fiction movies like 2000 and One, A Space Odyssey and Terminator General Ai is a I that can successfully perform any intellectual task that a human can. And if you ask you Lawn Musk or Stephen Hawking, this is how they view the future with General Ai. If we're not careful on how it is implemented, so most of us hope that is more like this is friendly and helpful. Um, like Wally. The reality is that machines today are not only capable of weak or narrow, a I AI that is focused on a narrow, specific task like understanding, speech or finding objects and images. Alexa and Google Home are becoming very popular, and they can be found in many homes. Their narrow task is to recognize human speech and answer limited questions or perform simple tasks like raising the temperature in your home or ordering a pizza as long as you have already defined the order. Narrow. AI is also very useful for recognizing objects in images and even counting people as they go in and out of stores. As you can see in this example, so artificial intelligence supplies, machine learning analytics inference and other techniques which can be used to solve actual problems. The two examples here particle detection, an image anomaly detection have the potential to adopt edge analytics during the manufacturing process. Ah, common problem in clean rooms is spikes in particle count from particle detectors. With this application, we can provide context to particle events by monitoring the area around the machine and detecting when foreign objects like gloves enter areas where they should not. Image Anomaly detection historically has been accomplished at sea gate by operators in clean rooms, viewing each image one at a time for anomalies, creating models of various anomalies through machine learning. Methodologies can be used to run comparative analyses in a production environment where outliers can be detected through influence in an automated real Time analytics scenario. So anomaly detection is also frequently used in machine learning to find patterns or unusual events in our data. How do you know what you don't know? It's really what you ask, and the first step in anomaly detection is to use an algorithm to find patterns or relationships in your data. In this case, we're looking at hundreds of variables and finding relationships between them. We can then look at a subset of variables and determine how they are behaving in relation to each other. We use this baseline to define normal behavior and generate a model of it. In this case, we're building a model with three variables. We can then run this model against new data. Observations that do not fit in the model are defined as anomalies, and anomalies can be good or bad. It takes a subject matter expert to determine how to classify the anomalies on classify classification could be scrapped or okay to use. For example, the subject matter expert is assisting the machine to learn the rules. We then update the model with the classifications anomalies and start running again, and we can see that there are few that generate these models. Now. Secret factories generate hundreds of thousands of images every day. Many of these require human toe, look at them and make a decision. This is dull and steak prone work that is ideal for artificial intelligence. The initiative that I am project managing is intended to offer a solution that matches the continual increased complexity of the products we manufacture and that minimizes the need for manual inspection. The Edge Rx Smart manufacturing reference architecture er, is the initiative both how meat and I are working on and sorry to say that Hamid isn't here today. But as I said, you may have guessed. Our goal is to introduce early defect detection in every stage of our manufacturing process through a machine learning and real time analytics through inference. And in doing so, we will improve overall product quality, enjoy higher yields with lesser defects and produce higher Ma Jin's. Because this was entirely new. We established partnerships with H B within video and with Docker and Amaranthus two years ago to develop the capability that we now have as we deploy edge Rx to our operation sites in four continents from a hardware. Since H P. E. And in video has been an able partner in helping us develop an architecture that we have standardized on and on the software stack side doctor has been instrumental in helping us manage a very complex project with a steep learning curve for all concerned. To further clarify efforts to enable more a i N M l in factories. Theobald active was to determine an economical edge Compute that would access the latest AI NML technology using a standardized platform across all factories. This objective included providing an upgrade path that scales while minimizing disruption to existing factory systems and burden on factory information systems. Resource is the two parts to the compute solution are shown in the diagram, and the gateway device connects to see gates, existing factory information systems, architecture ER and does inference calculations. The second part is a training device for creating and updating models. All factories will need the Gateway device and the Compute Cluster on site, and to this day it remains to be seen if the training devices needed in other locations. But we do know that one devices capable of supporting multiple factories simultaneously there are also options for training on cloud based Resource is the stream storing appliance consists of a kubernetes cluster with GPU and CPU worker notes, as well as master notes and docker trusted registries. The GPU nodes are hardware based using H B E l 4000 edge lines, the balance our virtual machines and for machine learning. We've standardized on both the H B E. Apollo 6500 and the NVIDIA G X one, each with eight in video V 100 GP use. And, incidentally, the same technology enables augmented and virtual reality. Hardware is only one part of the equation. Our software stack consists of Docker Enterprise and Cooper Netease. As I mentioned previously, we've deployed these clusters at all of our operations sites with specific use. Case is planned for each site. Moran Tous has had a major impact on our ability to develop this capability by offering a stable platform in universal control plane that provides us, with the necessary metrics to determine the health of the Kubernetes cluster and the use of Dr Trusted Registry to maintain a secure repository for containers. And they have been an exceptional partner in our efforts to deploy clusters at multiple sites. At this point in our deployment efforts, we are on prem, but we are exploring cloud service options that include Miranda's next generation Docker enterprise offering that includes stack light in conjunction with multi cluster management. And to me, the concept of federation of multi cluster management is a requirement in our case because of the global nature of our business where our operation sites are on four continents. So Stack Light provides the hook of each cluster that banks multi cluster management and effective solution. Open source has been a major part of Project Athena, and there has been a debate about using Dr CE versus Dr Enterprise. And that decision was actually easy, given the advantages that Dr Enterprise would offer, especially during a nearly phase of development. Cooper Netease was a natural addition to the software stack and has been widely accepted. But we have also been a work to adopt such open source as rabbit and to messaging tensorflow and tensor rt, to name three good lab for developments and a number of others. As you see here, is well, and most of our programming programming has been in python. The results of our efforts so far have been excellent. We are seeing a six month return on investment from just one of seven clusters where the hardware and software cost approached close to $1 million. The performance on this cluster is now over three million images processed per day for their adoption has been growing, but the biggest challenge we've seen has been handling a steep learning curve. Installing and maintaining complex Cooper needs clusters in data centers that are not used to managing the unique aspect of clusters like this. And because of this, we have been considering adopting a control plane in the cloud with Kubernetes as the service supported by Miranda's. Even without considering, Kubernetes is a service. The concept of federation or multi cluster management has to be on her road map, especially considering the global nature of our company. Thank you.
SUMMARY :
at the end of World War Two, he embarked on a mission with support from the US government to help and the first step in anomaly detection is to use an algorithm to find patterns
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Vishant Vora, Vodafone | Red Hat Summit 2020
from around the globe it's the cube with digital coverage of Red Hat summit 2020 brought to you by Red Hat welcome back this is the cubes coverage of Red Hat summit 2020 I'm Stu minimun and it's our seventh year doing the cube this year of course it is a digital event which means we are reaching all the community members where they are around the globe really excited to bring program first time guests and a first time to redhead summit Vachon Vora he's the chief technology officer of Vodafone idea joining me from Mumbai India bhishan nice to see you take so much for joining us it's a pleasure to be here as >> I'm looking forward to this interaction all right so as I said I've been at Red Hat show for many years the the telecommunications space you know service providers are some of the you know more interesting in the technology space you talk about scale you talk about change you talk about you know software eating the world all of those discussions are ones I've had for many years but you know I think many people know Vodafone may be a vote a fun idea escape for us you know the organisation and of course you've got the CTO at so you know what that means inside your organization sure so what a fun idea is a company that came came to acclaim as a result of a merger about 18 months ago so the number two and number three operators in India which was Vodafone an idea came together to create a telco serving over 300 million subscribers and we've been integrating the the networks over the last 18 months and consolidating and doing one of the largest integration in the world of two networks comprising over 200 thousand sites and carrying you know more than 50 billion MB of traffic per hour per day serving more than 40 million voltaic customers and we have been duplicating the network very very busy with her and we taken down so far almost a hundred thousand base stations which is equivalent to the size of a large operator in us so that's about the carnahan that is about the scale of the the operator that word of an idea is and what we've been busy with for the last day yeah well well Besant of course the reason we're doing this event online is because right now with the global pandemic the vast majority of the population they're at home so you know healthcare of course you know one of the major concerns I actually have done interviews with some of the power and energy companies critically important at this time but you know telecommunications you know what one of the top of the list you know in normal times for what people need but today it's the the only way that we can all connect it so tell us a little bit about do you know what the current situation you know the impact and importance this really highlights of your business yeah so just as the rest of the world India is also in a lockdown and India actually has one of the largest the largest lockdown in the world putting all 1.3 billion people in a lockdown yeah across the entire country so within that context the telecom network is crucial to make sure that the life goes on the essential services are delivered the industry continues to still operate as the best it can and all of that is made possible because of a stable and reliable network that we offer so a huge huge impact on the society always has been but in in this current context it is even more more critical and crucial so what we do is we make sure that we are the invisible layer you talked about health healthcare workers and emergency services well we are the invisible essential service that probably many people don't see but we are the ones who are really helping this country survive this this crisis and so far we have seen 25 30% increase in traffic in a single day in one week we experienced the same amount of traffic growth we would have experienced in the entire year so we we scalability is very very critical in our network and we've been able to keep up with that kind of a growth and continue to serve the communities and in this crucial juncture and all this dude large extent has been made possible because of a large-scale deployment of cloud technologies that we have done over the last 18 months which has really helped us scale up a large lot of our capabilities in the back yeah I'd love if you could explain a little bit more on that it you know challenging times you know I'm curious the amount of people that are using your services probably haven't changed but the demand and how much they're using it as change a lot so cloud obviously gives you scalability but you know are there concerns about what this does the profitability how you maintain things how much of this is a temporary change and how much will this be you know I know in the United States there's a lot of talk about how much work from home will become more of a standard than it had been before this pandemic so you know short term what's the impact on your business and what are you and other telecommunication companies thinking about what long-term impact this will have >> I think that's a very very interesting question I think even for me and my organization what we have been able to do working from home is amazing I never would have thought that it was possible to do as much as we've been able to do just staying young with most of the work for staying at home and that has really I think happened across industries across the entire country I think many organizations have now realized that work from home or work from anywhere which is the other term he's gonna become quite possible and prevalent going forward because people have realized that you can just get you can get just as much productivity out you can get so many things done working from home and it gives so much more personal flexibility to the individuals so I see when I look back at our organizational experience I see our productivity has been actually quite good actually better then haha where probably even in the office days so I think that is definitely one thing that is gonna come out as a global change across all industries I think the second thing that is gonna happen is data analytics I think there is going to be far more analysis of data to understand patterns and understand trends and how to take advantage of that I think of course the immediate application is in the healthcare and the spread of the pandemic but I think this will spur a lot of other analytics I think the third thing is going to do is the adoption of digital as the primary mode digital was already something that most companies are working on as is a top priority but I think going outward is gonna become very evident to people that it is actually essential just talking about my business I can tell you today you know all the stores all the shops every place that we used to check our cell or recharge vouchers are closed so the only place we are able to get any revenue from is our digital channel and on end only place where customers have been able to recharge their prepaid subscriptions etc has all been through digital I think digital we will also become a massive massive requirement so in that context I think telecom will be seen as a critical critical backbone I think to a large extent it has been seen by many in the past is more of an essential commodity but I think many organizations will realise that this is actually a value creator so I think it's a great exciting opportunity for us to take advantage of those new business opportunities that will come and at the same time be a very very important player in the digital economy that every nation around the world is gonna press you know for Sean said it really appreciates some really good commentary there you know we've been talking for years about customers going through their digital transformation it's really about the data and how they leverage that and if you're data-driven then you really have gone through that transformation and you kind of described what we call the new innovation cocktail you're leveraging cloud that there's data you put those all together as to how you drive your company and you can drive innovation oftentimes when we think about what results we're going to get from deploying cloud and using these types of new technologies we think we know what we're gonna get but the reality of how your company is dealing with things today of course you know proves what you were hoping that build for here help us understand you know what we're talking here is part of red hat summit this week you know what's red hats role in this piece and you know how did the reality of rolling this out and then how it has helped you in the current global situation impacted your business sure oh so I would say actually the three words that I used digital cloud and analytics to me they're actually inseparable cuz I do not believe that you can have a digital business that is not based on cloud or that is not good at data analytics I think if you want to really have a successful cloud offering it implies that automatically that you are a digital business and you're gonna do extensive modern data and analytics and build those capabilities I think those are three inseparable terms now speaking specifically about a red head I would say that red head has been a very very critical partner for us right from the beginning 18 months ago when the two companies too came together to create this network we knew that we had to do several things number one was actually to have a completely rationalized structure which was around extracting the synergies from the from the merger but beyond that we needed to build a telco of the future technology company of the future which will let us transform the business and create capabilities that will give us a step ahead a leapfrog ahead of our competition and cloud was a very very essential part of the journey and we knew we needed to build a cloud based on open systems because we did not want to get into a proprietary logins with anybody and we are a very large business we have suffered a sufficiently large scale to really be able to build a very large cloud so we started working with Red Hat about two years ago and it in the last two years we have deployed 80 plus cloud locations distributed cloud locations across the country and these all of these clouds our vision is to orchestrate them as a single cloud our vision is to build a cloud there is a universal cloud actually that is the word there is a word we use when we talk about cloud it's a universal cloud what does that mean that means that cloud will carry not only the traditional telco workloads but it will also carry IT workloads it will also carry lot of the enterprise offerings we have so - for the end-user for our enterprise clients and all of those capabilities out to be accommodated with a platform that is versatile that is scalable and that is gonna give me in enormous amount of flexibility and control as a organization so Red Hat has been a very important part of the journey and on the red head OpenStack cloud today I have a Daffy's working from any major supplier you can think of I have any enemies working from Nokia Ericsson Huawei ziti even some smaller players like Marvin here so we have demonstrated that this is possible we've been able to break the lock in that the traditional naps have had on their cloud offerings which were really more of a virtualized offerings rather than a cloud computer is a truly universal cloud on the back of the technology provided by a red well that's that's fantastic congratulations on that I love the the result of what you're calling Universal Cloud is the promise that we talked about for a number of years you know is that nitty gritty networking piece it was like you know network functions virtualization and if be sitting an open stack and everybody's like well OpenStack am I trying to build a cloud to compete against the public cloud providers it was like no what you said exactly there's services that you want to be able to deliver and it's not just about oh we're getting away from hardware appliances it's you know just like most people today they're used to whatever smart device they're doing I want to be able to turn on channels and access new things that's your now you know reducing that barrier to Vodafone idea to deliver that to your users have I captured that properly that is correct as a matter of fact I'll just give you one proof point my water phone app is the app that we we have for our consumers and that app is currently running on my telco clock what used to be called the telco cloud so on that platform we are running my packet or actually there are about 40 and FB is for virtualized traditional calculations running alongside with an IT application a digital application okay so one of the things I you know I would like to understand there that what you've deployed there over the last couple of years sounds like a significant shift so you know you're talking about apps you're talking more of a developer type of environment bring us inside a little organizationally you know what new skills have new people had to learn has there been new people added to the organization have there been in a restructures what what is this this this whole initiative to get to universal cloud meant for your organization sure so I look after both the network and IT pieces of the part of parts of the company and you know we traditionally were in the past legacy we have had a IT cloud and we have heard indigo cloud what we are now creating is a single universal cloud what either of the two workloads are gonna be facilitated so for that actually the two organization the two parts of the organization need to come together and start to really work as one now it is very important that the telco guys understand the scale and the 99-year the five nines required in a running a network but at the same time IT guys also understand very much what all of the the flexibility that the business requires and the responsiveness required for the for the enterprise so bringing those two talents together I think in infusing that to create a single organization is one of the biggest challenges I think any telco has we also face it that is one aspect of it the second aspect of it is that there just aren't too many cloud experts in the world and we have been struggling with that I think skill shortage is a clear challenge for us now we try to address it using variety of means we of course try to upscale rescale lot of the traditional network core engineers that we have had we also try to use talent available or from consultants and then we also try to use our vendors so one of the concepts we've been working with our vendors is a concept of a resident engineer so we try to actually get them to second some of their engineers to work with us and at the same time we've been now working with both IBM and redhead to create a program to really go out and create a community around us of developers who can really work with this cloud and therefore we will have enough of skills available to leverage all of the potential benefits there are then the platform but can only be unleashed if I have the right skills and right people you touched on a very important issue it is a challenge but we are working our way through it and so far we've been a bit we make good all right well if it's shot I can't let a CTO go without looking a little bit into the future so want to help understand we talked about some of the technologies talked about transformation of what's happening your business what's happening your organization and there's some big waves coming week you know cloud is still in early days 5g of course you know is expected to have massive impact on on everyone's environment for this so what is the winning formula for the the telecoms going forward well I think Phi G is an exciting world we are a 4G network today the Phi G spectrum hasn't been auctioned in India but what we are building today is what I call a 4G plus network which means the lot of the architectural principles of PI G we have already applied in my core networks today and in my transport network in that world I think IOT is gonna play a very very big role and if you want to do things like IOT and if you want to do things like blockchain now I think telco cloud has a huge role to play because we are the telcos are traditionally the only ones in a country anywhere in the world who have experiences experience in operating in very far front powerful places dealing with lot of the infrastructure challenges especially if you're in a developing country you know that you have to work with a poor power availability poor transport etc I do not see any of the big guys the the big cloud players really having those capabilities today I think telcos are gonna play a very big role in enabling that pi g io t work and it is going to be an exciting journey for telcos I think telcos will very soon be called tech companies that is one thing that I strongly believe in I think also many of the things that depend on blockchain will require the kind of cloud that telcos will create because a telco cloud is far more demanding than a traditional IT application in many ways for example latency or for example throughputs now all those things aren't very important in blockchain apple type of applications I think that's another exciting opportunity for telcos really is to get into that and of course there are discussions about smart cities smart government government and because of Kovach kharkova crisis I think many governments are gonna explore new ways of organizing Society's new ways of governing economic activities and the backbone for a lot of those things is gonna be our telecom networks and the cloud distributed clouds to the edge that we create so I think it'll create many many exciting business opportunities as a consequence of some of those technological innovation yeah Shanta I can't remember who said it as they said don't waste a crisis but Vasant Bora CTO of Vodafone idea pleasure talking with you thank you so much for joining us hope you enjoy the Red Hat event as it is distributed this year and definitely look to be able to meet you sometime at a future physical event back when we have those in the future Thank You Stu it's been a pleasure meeting you virtually and look forward to these all right lots more coverage from the cubes Red Hat summit at 20/20 activity I'm Stu minimun and thanks as always for watching [Music]
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Keynote Analysis, Day Two | Commvault GO 2019
>>Live from Denver, Colorado. It's the cube covering comm vault. Go 2019 brought to you by Combolt. >>Hey, good morning. Welcome to the cubes coverage of combo go 19 I'm Lisa Martin and it was stupid man. Hey Sue. Hey Lisa. Are you ready? I was going to ask you. Yes. Are you ready? >>I believe the statement this morning was, we're born ready. >>We are born ready? Yes. That was a big theme this morning. It's the theme of the event here at con Volvo 19 in Colorado and great parody this morning of all these old video clips of all these actors including the Lego movie stars from saying I'm ready. Even SpongeBob. That one got me, so we had a great day. Yesterday's to love some news came out Monday and Tuesdays a lots of great stuff to talk about. We had there a lot of their C level execs and let a new changes a call yesterday. Really got the vibe of, Hey, this is a new Combalt. >>It's interesting Lisa, because one of the things we've been talking about is the 20 years of pedigree that the company has. This Andre Mirchandani said yet they're doing some new items. I was talking to some of the partners in there like how come metallics like a separate brand, don't you worry about brand spread? We knew a thing about having too many brands on the program so it is the history, the experience, the lessons learned, the war chest as they said of all of the things that have gone wrong over the years and I sure know that from my time living on the vendor side is there's no compression algorithm for all the experience you've had and like, Oh we fixed something in that stays in the code as opposed to there's something brand new might need to work through things over time but metallic a separate brand but leveraging the partnerships and the go to market and the experience of Convolt overall. >>So if you want, my quick take is, you know metallic. I definitely, I think coming out of here is the thing we will be talking the most about their SAS plus model. I want to see how that plays in the marketplace. As I probed Rob, when we interviewed him, customers, when you think about SAS, it should just be, I worry about my data and I get up and running and they said they have a very fast up and running less than 15 minutes. That's great. But some of that optionality that they built in, Oh well I can bring this along or I can add this and do this. It's always worried that a wait, do I have to remember my thing? And as it changes down the road, do I have everything set up right? Those are things that we're trying to get away from when we go to a SAS or cloud model. >>And to your point, another theme of the show has been about operational simplification, not just what Combolt is doing internally to simplify their operations, but what they need to deliver to customers. Customers want simplicity rates. Do we, we talk about that at every show regardless of industry, but there is this, this line, and maybe it's blurring, >>like we talked a lot about blurred lines yesterday of too much choice versus simplification. Where's the line there? >> Yeah and a great point Lisa, so one of the items Sandra Mirchandani said yesterday in his keynote was that blurring the line between primary and secondary storage and I probed him on our interview is Convolt going into the primary storage market with Hedvig. Hedvig has got a, you know, a nice offering, strong IP, good engineering team. I think they want to make sure that customers that have bought head vigor want to keep buying Hedvig we'll do it, but it really, I think two years from now when you look back at is that core IP, how does that get baked into the solution? That's why they bought it. That's where it's going to be there. I don't think we're going to be looking two years from now and saying, Oh wow know Convolt they're going up against all the storage star Walton competing a bit gets HCI and everything. >>They have a strong partnership, so I think I got clarity on that for the most part, even though the messaging will will move over time on that, it will move over time on that. >> That's a good point that the song blurred lines kept popping into my head yesterday as we were talking about that. But one of the things that was clear was when we spoke with Rob Kalusi and about metallic, we spoke with Avinash Lakshman about Hedvig Sanjay as well as Don foster. They're already working on the technical integration of of this solutions and we even spoke with their VP of pricing. So from a customer, from a current Hedvig customer perspective, there is focus on that from Combolt's perspective. It's not just about integrating the technologies and obviously that has to be done really well, but it's also about giving customers that consistency and really for combo kind of a new era of transparency with respect to pricing. >>And another thing we talked about some of that transformation of the channel and Mercer row came on board only a couple of days officially on the job. He's helped a number of companies get ready for multicloud and absolutely we've seen that change in the channel over the last five to 10 years. Know back in his days when he was at VM world at VMware there the channel was, Oh my gosh, you know, when Amazon wins we all lose and today we understand it as much more nuance there. The channel that is successful partners with the hyperscale cloud environments, they have practices built around it. The office three 65 and Microsoft practices are an area that Convolt in their partners should be able to do well with and the metallic will tie into as well as of course AWS. The 800 pound gorilla in this space will be there. Combolt plays into that and you know, setting the channel up for that next generation with the SAS, with the software and living in a broader multicloud environment is definitely something to watch you a lot of news about the channel, not just from a leadership standpoint but also so metallic for the mid market >>really delivered exclusively through the channel but also the new initiative that they have. And we talked a little bit about this yesterday about going after and really a big focus with global systems integrators on the largest global enterprises. And when we spoke with their GTM chief of staff yesterday along with Mercer with Carmen, what they're doing, cause I said, you know, channel partners, all the channel partners that they work with work with their competitors. So you have to really deliver differentiation and it can't just be about pricing or marketing messaging goes all the way into getting those feet on the street. And that's another area in which we heard yesterday Combolt making strategic improvements on more feet on the street co-selling with partners, really pulling them deeper into enablement and trainings and to them that's one of the key differentiators that they are delivering to their partners. Yeah >>and Lisa, he, we got to speak to a number, a couple of customers we have more coming on today. It's a little bit telling that you know the average customer you talk to, they have five 10 years of experience there. They are excited about some of the new offerings, but as we've said many times metallic, the new Hedvig we want to talk to the new logos that they're going to get on board. That is something that for the partners has been an incentive. There were new incentives put in place to help capture those new logos because as we know, revenue was actually down in the last fiscal year a bit and Convolt feels that they have turned the corner, they're all ready to go. And one other note I'd like to make, the analogy I used last year is we knew a CEO was canoe CEO search was happening, a lot of things were in motion and it's almost as if you were getting the body ready for an organ transplant and you make sure that the antibodies aren't going to reject it. And in conversation with Sanjay, he was very cognizant of that. His background is dev offs and he was a CIO. We went for it, he was the CEO of puppet. So he's going to make things move even faster. And the pace of change of the last nine months is just the beginning of the change. And for the most part I'm not hearing grumbling underneath the customer seem fully on board. The employees are energized and definitely there was good energy last year, but a raise of the enthusiasm this year. >>Well Stu, first of all, you have just been on fire the last two days comparing their CEO transition to getting a body ready for a transplant. It's probably one of the best things I've heard in a long time. That was awesome. But you're right, we've heard a lot of positivity. Cultural change is incredibly difficult. You talked a minute ago about this as a 20 year old company and as we all have all experience and the industries in which we're in, you know, one of the things that's important is, is messaging that experience and talking about the things that that worked well, but also the things that didn't work well, that they've learned from that message was carried through the keynote this morning. That three customers on stage that we saw before we had to come to the side. And I, I had, my favorite was from Sonic healthcare. Matthew McCabe's coming on in shortly with us and I always appreciate, you know, I think the voice of the customer is the best brand validation that you can get. However, what's even better is a customer talking about when the technologies that they're using fail because it does happen. How are they positioned with the support and the training and the education that is giving them to make those repairs quickly to ensure business continuity and ensure disaster recovery. I think that to me that speaks volumes about the legacy, the 20 years of experience that combo has. >>Yeah, no, Lisa, you're absolutely right. There's certain products out there that we talk about uptime in 100% in this space. You, I believe the stat was about 94% success rate and we had NASA in the keynote yesterday talking about success versus partial success versus failures and Convolt really embraces that and has customers that we'll talk about that because there are times that things will happen and there are things that you need to be able to recover from ransomware. Often it is not a question of if, when it is going to be happened, at least. The other thing I want to get your comment on Jimmy chin who is the director and one of the, the cameraman of the free solo Oscar-winning free solo documentary definitely gave me a little bit of, Oh my gosh, look at some of the Heights and I was nervous just looking at some of this stuff they're doing. I like a little bit of lightweight hiking. I'm not a mountain climber, nothing like that. But he talked about when the camera goes on, there's that added pressure that goes on and it's sitting there. It's like, yeah, you know, we sit here live all day doing that. There's that, that energy to perform. But you know, we all appreciate the everybody watching and understanding that we're all human here and every time, every once in awhile a word or a mistake gets in there, but we keep going summit. Yeah, >>that's life. But also Jimmy chin, phenomenal. I think at 2018 they just won the Oscar just earlier this year for free. Solo. I have to watch that this weekend. But a couple of things that he talked about is that failure is a huge part of preparation. Couldn't agree more. What a simplified statement for somebody that not only has has skied Everest, the climbed Meru, I think they call it the shark fin of India, but what you talked about with what he documented with free solo and all of the thousands of sequences and he talked about that, Alex, I'm forgetting his last name, the guy who closed, who free soloed, El Capitan, all of these different failure scenarios that he rehearsed over and over again in case he encountered any of them, he would immediately be to remedy that situation and get himself back on track. I thought that message to me, failure is a good F-word if you use it properly. You know NASA, you mentioned yesterday and NASA was famous for coining in the 60s failure is not an option and I always say onto that cause I used to work for NASA, but it's a distinct possibility. And so what Jimmy chin shared this morning was electrified, but it also was a great understatement of what Combolt is helping their customers. We have to help you prepare for this. We can't help you prepare for all of it. As you mentioned, ransomware, it's not if but when. >>Well, right and both NASA and when the climbing is understanding where something could go wrong and therefore what the failures scenarios are. So you know rockets today you can't have a failure and by failure they mean look, if the rocket isn't going to work or something goes wrong, we need to make sure we don't have loss of life. That is something that if you look at blue origin and SpaceX that is pre eminent in there is we can't have another challenger disaster. We can't have some of these environments where we have the loss of human life. So that is number one. Some of the other ones, sometimes we know that the unknown happens or things don't go quite right. So being prepared to understand if something goes wrong, how do we recover from that? And that brings us back to the whole data protection and recovery of the environment because the best laid architecture, eventually something will happen and therefore we need to make sure that that data, the lifeblood of the company is able to be recovered and used and that the business can go forward even if some piece of infrastructure or some attack got through. >>There are, and there's inherent risk in every industry, whether you're talking about healthcare data, we talked with AstraZeneca yesterday, you know, genetics, clinical data, or you're talking about a retailer, doesn't matter. There's an inherent risks with every business and one of the most important things that I got out of the NASA talk yesterday, Jimmy Chin's talked today, some of the customers, is that preparation is key. You can't be over prepared. You really can't act fact. He said that you can't be overprepared in his line of work, but I think it applies to the inherent risks that any business has. Managing data. As we talk about Sue all the time, it's the lifeblood. It's the new oil. It is. It has to be available, accessible 24 by seven if it isn't and can't be. Businesses are massive risk in this day and age. Competitive competitors who have maybe better risk fault tolerance scenario in play. >>So that risk that they have to mitigate comes a preparation. We're going to be talking with Sandra Hamilton in just a few minutes about who leads customer success for combo. Really want to dig into the training, the support. We've heard that articulated from customers on stage that I don't wake up in the middle of the night anymore because I have this support from my trusted vendor combo and that is critical to any business staying up. Absolutely. We're going to hear from number of customers. I'm sure they're ready and we are ready for day two. We are ready. See, let's have a great day. Yeah, thanks. All right, so Sue and I will be right back with our first guest on day two of our coverage of comm Volkow for Stu. I'm Lisa Martin. We'll be right back.
SUMMARY :
Go 2019 brought to you by Combolt. Are you ready? It's the theme of the event here at con Volvo 19 in Colorado all of the things that have gone wrong over the years and I sure know that from my time living on the vendor side is And as it changes down the road, do I have everything set up right? And to your point, another theme of the show has been about operational simplification, Where's the line there? him on our interview is Convolt going into the primary storage market with They have a strong partnership, so I think I got clarity on that for the most part, But one of the things that was clear was when we spoke with Rob Kalusi and about the last five to 10 years. that's one of the key differentiators that they are delivering to their partners. That is something that for the partners has been an incentive. have all experience and the industries in which we're in, you know, one of the things that's important is, look at some of the Heights and I was nervous just looking at some of this stuff they're doing. We have to help you prepare for this. Some of the other ones, sometimes we know that the we talked with AstraZeneca yesterday, you know, genetics, clinical data, So that risk that they have to mitigate comes a preparation.
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John Thomas & Steven Eliuk, IBM | IBM CDO Summit 2019
>> Live from San Francisco, California, it's theCUBE, covering the IBM Chief Data Officer Summit. Brought to you by IBM. >> We're back at San Francisco. We're here at Fisherman's Wharf covering the IBM Chief Data Officer event #IBMCDO. This is the tenth year of this event. They tend to bookend them both in San Francisco and in Boston, and you're watching theCUBE, the leader in live tech coverage. My name is Dave Valante. John Thomas is here, Cube alum and distinguished engineer, Director of Analytics at IBM, and somebody who provides technical direction to the data science elite team. John, good to see you again. Steve Aliouk is back. He is the Vice President of Deep Learning in the Global Chief Data Office, thanks for comin' on again. >> No problem. >> Let's get into it. So John, you and I have talked over the years at this event. What's new these days, what are you working on? >> So Dave, still working with clients on implementing data science and AI data use cases, mostly enterprise clients, and seeing a variety of different things developing in that space. Things have moved into broader discussions around AI and how to actually get value out of that. >> Okay, so I know one of the things that you've talked about is operationalizing machine intelligence and AI and cognitive and that's always a challenge, right. Sounds good, we see this potential but unless you change the operating model, you're not going to get the type of business value, so how do you operationalize AI? >> Yeah, this is a good question Dave. So, enterprises, many of them, are beginning to realize that it is not enough to focus on just the coding and development of the models, right. So they can hire super-talented Python TensorFlow programmers and get the model building done, but there's no value in it until these models actually are operationalized in the context of the business. So one aspect of this is, actually we know, we are thinking of this in a very systematic way and talking about this in a prescriptive way. So, you've got to scope your use cases out. You got to understand what is involved in implementing the use case. Then the steps are build, run, manage, and each of these have technical aspects and business aspects around, right. So most people jump right into the build aspect, which is writing the code. Yeah, that's great, but once you build the code, build the models by writing code, how do you actually deploy these models? Whether that is for online invocation or back storing or whatever, how do you manage the performance of these models over time, how do you retrain these models, and most importantly, when these models are in production, how do I actually understand the business metrics around them? 'Cause this goes back to that first step of scoping. What are the business KPI's that the line of business cares about? The data scientist talks about data science metrics, position and recall and Area Under the ROC Curve and accuracy and so on. But how do these relate to business KPI's. >> All right, so we're going to get into each of those steps in a moment, but Steve I want to ask you, so part of your charter, Inderpal, Global Chief Data Officer, you guys have to do this for IBM, right, drink your own champagne, dog footing, whatever you call it. But there's real business reasons for you to do that. So how is IBM operationalizing AI? What kind of learnings can you share? >> Well, the beauty is I got a wide portfolio of products that I can pull from, so that's nice. Like things like AI open to Watson, some of the hardware components, all that stuffs kind of being baked in. But part of the reason that John and I want to do this interview together, is because what he's producing, what his thoughts are kind of resonates very well for our own practices internally. We've got so many enterprise use cases, how are we deciding, you know, which ones to work on, which ones have the data, potentially which ones have the biggest business impact, all those KPI's etcetera, also, in addition to, for the practitioners, once we decide on a specific enterprise use case to work on, when have they reached the level where the enterprise is having a return on investment? They don't need to keep refining and refining and refining, or maybe they do, but they don't know these practitioners. So we have to clearly justify it, and scope it accordingly, or these practitioners are left in this kind of limbo, where they're producing things, but not able to iterate effectively for the business, right? So that process is a big problem I'm facing internally. We got hundreds of internal use cases, and we're trying to iterate through them. There's an immense amount of scoping, understanding, etcetera, but at the same time, we're building more and more technical debt, as the process evolves, being able to move from project to project, my team is ballooning, we can't do this, we can't keep growing, they're not going to give me another hundred head count, another hundred head count, so we're definitely need to manage it more appropriately. And that's where this mentality comes in there's-- >> All right, so I got a lot of questions. I want to start unpacking this stuff. So the scope piece, that's we're setting goals, identifying the metrics, success metrics, KPI's, and the like, okay, reasonable starting point. But then you go into this, I think you call it, the explore or understanding phase. What's that all about, is that where governance comes in? >> That's exactly where governance comes in. Right, so because it is, you know, we all know the expression, garbage in, garbage out, if you don't know what data you're working with for your machine learning and deep learning enterprise projects, you will not have the resource that you want. And you might think this is obvious, but in an enterprise setting, understanding where the data comes from, who owns the data, who work on the data, the lineage of that data, who is allowed access to the data, policies and rules around that, it's all important. Because without all of these things in place, the models will be questioned later on, and the value of the models will not realized, right? So that part of exploration or understanding, whatever you want to call it, is about understanding data that has to be used by the ML process, but then at a point in time, the models themselves need to be cataloged, need to be published, because the business as a whole needs to understand what models have been produced out of this data. So who built these models? Just as you have lineage of data, you need lineage of models. You need to understand what API's are associated with the models that are being produced. What are the business KPI's that are linked to model metrics? So all of that is part of this understand and explore path. >> Okay, and then you go to build. I think people understand that, everybody wants to start there, just start the dessert, and then you get into the sort of run and manage piece. Run, you want a time to value, and then when you get to the management phase, you really want to be efficient, cost-effective, and then iterative. Okay, so here's the hard question here is. What you just described, some of the folks, particularly the builders are going to say, "Aw, such a waterfall approach. Just start coding." Remember 15 years ago, it was like, "Okay, how do we "write better software, just start building! "Forget about the requirements, "Just start writing code." Okay, but then what happens, is you have to bolt on governance and security and everything else so, talk about how you are able to maintain agility in this model. >> Yeah, I was going to use the word agile, right? So even in each of these phases, it is an agile approach. So the mindset is about agile sprints and our two week long sprints, with very specific metrics at the end of each sprint that is validated against the line of business requirements. So although it might sound waterfall, you're actually taking an agile approach to each of these steps. And if you are going through this, you have also the option to course correct as it goes along, because think of this, the first step was scoping. The line of business gave you a bunch of business metrics or business KPI's they care about, but somewhere in the build phase, past sprint one or sprint 2, you realize, oh well, you know what, that business KPI is not directly achievable or it needs to be refined or tweaked. And there is that circle back with the line of business and a course correction as it was. So it's a very agile approach that you have to take. >> Are they, are they, That's I think right on, because again, if you go and bolt on compliance and governance and security after the fact, we know from years of experience, that it really doesn't work well. You build up technical debt faster. But are these quasi-parallel? I mean there's somethings that you can do in build as the scoping is going on. Is there collaboration so you can describe, can you describe that a little bit? >> Absolutely, so for example, if I know the domain of the problem, I can actually get started with templates that help me accelerate the build process. So I think in your group, for example, IBM internally, there are many, many templates these guys are using. Want to talk a little bit about that? >> Well, we can't just start building up every single time. You know, that's again, I'm going to use this word and really resonate it, you know it's not extensible. Each project, we have to get to the point of using templates, so we had to look at those initiatives and invest in those initiatives, 'cause initially it's harder. But at least once we have some of those cookie-cutter templates and some of them, they might have to have abstractions around certain parts of them, but that's the only way we're ever able to kind of tackle so many problems. So no, without a doubt, it's an important consideration, but at the same time, you have to appreciate there's a lot of projects that are fundamentally different. And that's when you have to have very senior people kind of looking at how to abstract those templates to make them reusable and consumable by others. >> But the team structure, it's not a single amoeba going through all these steps right? These are smaller teams that are, and then there's some threading between each step? >> This is important. >> Yeah, that's tough. We were just talking about that concept. >> Just talking about skills and >> The bind between those groups is something that we're trying to figure out how to break down. 'Cause that's something he recognizes, I recognize internally, but understanding that those peoples tasks, they're never going to be able to iterate through different enterprise problems, unless they break down those borders and really invest in the communication and building those tools. >> Exactly, you talk about full stack teams. So you, it is not enough to have coding skills obviously. >> Right. What is the skill needed to get this into a run environment, right? What is the skill needed to take metrics like not metrics, but explainability, fairness in the moderates, and map that to business metrics. That's a very different skill from Python coding skills. So full stack teams are important, and at the beginning of this process where someone, line of business throws 100 different ideas at you, and you have to go through the scoping exercise, that is a very specific skill that is needed, working together with your coders and runtime administrators. Because how do you define the business KPI's and how do you refine them later on in the life cycle? And how do you translate between line of business lingo and what the coders are going to call it? So it's a full stack team concept. It may not necessarily all be in one group, it may be, but they have to work together across these different side loads to make it successful. >> All right guys, we got to leave it there, the trains are backing up here at IBM CDO conference. Thanks so much for sharing the perspectives on this. All right, keep it right there everybody. You're watchin' "theCUBE" from San Francisco, we're here at Fisherman's Wharf. The IBM Chief Data Officer event. Right back. (bubbly electronic music)
SUMMARY :
Brought to you by IBM. John, good to see you again. So John, you and I have talked over the years at this event. and how to actually get value out of that. Okay, so I know one of the things that you've talked about and development of the models, right. What kind of learnings can you share? as the process evolves, being able to move KPI's, and the like, okay, reasonable starting point. the models themselves need to be cataloged, just start the dessert, and then you get into So it's a very agile approach that you have to take. can do in build as the scoping is going on. that help me accelerate the build process. but at the same time, you have to appreciate Yeah, that's tough. and really invest in the communication Exactly, you talk about full stack teams. What is the skill needed to take metrics like Thanks so much for sharing the perspectives on this.
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Frank Gens, IDC | Actifio Data Driven 2019
>> From Boston, Massachusets, it's The Cube. Covering Actifio 2019: Data Driven, Brought to you by Actifio. >> Welcome back to Boston, everybody. We're here at the Intercontinental Hotel at Actifio's Data Driven conference, day one. You're watching The Cube. The leader in on-the-ground tech coverage. My name is is Dave Valante, Stu Minamin is here, so is John Ferrer, my friend Frank Gens is here, he's the Senior Vice President and Chief Analyst at IDC and Head Dot Connector. Frank, welcome to The Cube. >> Well thank you Dave. >> First time. >> First time. >> Newbie. >> Yep. >> You're going to crush it, I know. >> Be gentle. >> You know, you're awesome, I've watched you over the many years, of course, you know, you seem to get competitive, and it's like who gets the best rating? Frank always had the best ratings at the Directions conference. He's blushing but I could- >> I don't know if that's true but I'll accept it. >> I could never beat him, no matter how hard I tried. But you are a phenomenal speaker, you gave a great conversation this morning. I'm sure you drew a lot from your Directions talk, but every year you lay down this, you know, sort of, mini manifesto. You describe it as, you connect the dots, IDC, thousands of analysts. And it's your job to say okay, what does this all mean? Not in the micro, let's up-level a little bit. So, what's happening? You talked today, You know you gave your version of the wave slides. So, where are we in the waves? We are exiting the experimentation phase, and coming in to a new phase that multiplied innovation. I saw AI on there, block-chain, some other technologies. Where are we today? >> Yeah, well I think having mental models of the6 industry or any complex system is pretty important. I mean I've made a career dumbing-down a complex industry into something simple enough that I can understand, so we've done it again now with what we call the third platform. So, ten years ago seeing the whole raft of new technologies at the time were coming in that would become the foundation for the next thirty years of tech, so, that's an old story now. Cloud, mobile, social, big data, obviously IOT technologies coming in, block-chain, and so forth. So we call this general era the third platform, but we noticed a few years ago, well, we're at the threshold of kind of a major scale-up of innovation in this third platform that's very different from the last ten or twelve years, which we called the experimentation stage. Where people were using this stuff, using the cloud, using mobile, big data, to create cool things, but they were doing it in kind of a isolated way. Kind of the traditional, well I'm going to invent something and I may have a few friends help me, whereas, the promise of the cloud has been , well, if you have a lot of developers out on the cloud, that form a community, an ecosystem, think of GitHub, you know, any of the big code repositories, or the ability to have shared service as often Amazon, Cloud, or IBM, or Google, or Microsoft, the promise is there to actually bring to life what Bill Joy said, you know, in the nineties. Which was no matter how smart you are, most of the smart people in the world work for someone else. So the questions always been, well, how do I tap into all those other smart people who don't work for me? So we can feel that where we are in the industry right now is the business model of multiplied innovation or if you prefer, a network of collaborative innovation, being able to build something interesting quickly, using a lot of innovation from other people, and then adding your special sauce. But that's going to take the scale of innovation just up a couple of orders of magnitude. And the pace, of course, that goes with that, is people are innovating much more rapid clip now. So really, the full promise of a cloud-native innovation model, so we kind of feel like we're right here, which means there's lots of big changes around the technologies, around kind of the world of developers and apps, AI is changing, and of course, the industry structure itself. You know the power positions, you know, a lot of vendors have spent a lot of energy trying to protect the power positions of the last thirty years. >> Yeah so we're getting into some of that. So, but you know, everybody talks about digital transformation, and they kind of roll their eyes, like it's a big buzzword, but it's real. It's dataware at a data-driven conference. And data, you know, being at the heart of businesses means that you're seeing businesses transition industries, or traverse industries, you know, Amazon getting into groceries, Apple getting into content, Amazon as well, etcetera, etcetera, etcetera, so, my question is, what's a tech company? I mean, you know, Bennyhoff says that, you know, every company's a sass company, and you're certainly seeing that, and it's got to be great for your business. >> Yeah, yeah absolutely >> Quantifying all those markets, but I mean, the market that you quantify is just it's every company now. Banks, insurance companies, grocers, you know? Everybody is a tech company. >> I think, yeah, that's a hundred percent right. It is that this is the biggest revolution in the economy, you know, for many many decades. Or you might say centuries even. Is yeah, whoever put it, was it Mark Andreson or whoever used to talk about software leading the world, we're in the middle of that. Only, software now is being delivered in the form of digital or cloud services so, you know, every company is a tech company. And of course it really raises the question, well what are tech companies? You know, they need to kind of think back about where does our value add? But it is great. It's when we look at the world of clouds, one of the first things we observed in 2007, 2008 was, well, clouds wasn't just about S3 storage clouds, or salesforce.com's softwares and service. It's a model that can be applied to any industry, any company, any offering. And of course we've seen all these startups whether it's Uber or Netflix or whoever it is, basically digital innovation in every single industry, transforming that industry. So, to me that's the exciting part is if that model of transforming industries through the use of software, through digital technology. In that kind of experimentation stage it was mainly a startup story. All those unicorns. To me the multiplied innovation chapter, it's about- (audio cuts out) finally, you know, the cities, the Procter & Gambles, the Walmarts, the John Deere's, they're finally saying hey, this cloud platform and digital innovation, if we can do that in our industry. >> Yeah, so intrapreneurship is actually, you know, starting to- >> Yeah. >> So you and I have seen a lot of psychos, we watched the you know, the mainframe wave get crushed by the micro-processor based revolution, IDC at the time spent a lot of time looking at that. >> Vacuum tubes. >> Water coolant is back. So but the industry has marched to the cadence of Moore's Law forever. Even Thomas Friedman when he talks about, you know, his stuff and he throws in Moore's Law. But no longer Moore's Law the sort of engine of innovation. There's other factors. So what's the innovation cocktail looking forward over the next ten years? You've talked about cloud, you know, we've talked about AI, what's that, you know, sandwich, the innovation sandwich look like? >> Yeah so to me I think it is the harnessing of all this flood of technologies, again, that are mainly coming off the cloud, and that parade is not stopping. Quantum, you know, lots of other technologies are coming down the pipe. But to me, you know, it is the mixture of number one the cloud, public cloud stacks being able to travel anywhere in the world. So take the cloud on the road. So it's even, I would say, not even just scale, I think of, that's almost like a mount of compute power. Which could happen inside multiple hyperscale data centers. I'm also thinking about scale in terms of the horizontal. >> Bringing that model anywhere. >> Take me out to the edge. >> Wherever your data lives. >> Take me to a Carnival cruise ship, you know, take me to, you know, an apple-powered autonomous car, or take me to a hospital or a retail store. So the public cloud stacks where all the innovation is basically happening in the industry. Jail-breaking that out so it can come, you know it's through Amazon, AWS Outpost, or Ajerstack, or Google Anthos, this movement of the cloud guys, to say we'll take public cloud innovation wherever you need it. That to me is a big part of the cocktail because that's you know, basically the public clouds have been the epicenter of most tech innovation the last three or four years, so, that's very important. I think, you know just quickly, the other piece of the puzzle is the revolution that's happening in the modularity of apps. So the micro services revolution. So, the building of new apps and the refactoring of old apps using containers, using servos technologies, you know, API lifecycle management technologies, and of course, agile development methods. Kind of getting to this kind of iterative sped up deployment model, where people might've deployed new code four times a year, they're now deploying it four times a minute. >> Yeah right. >> So to me that's- and kind of aligned with that is what I was mentioning before, that if you can apply that, kind of, rapid scale, massive volume innovation model and bring others into the party, so now you're part of a cloud-connected community of innovators. And again, that could be around a Github, or could be around a Google or Amazon, or it could be around, you know, Walmart. In a retail world. Or an Amazon in retail. Or it could be around a Proctor & Gamble, or around a Disney, digital entertainment, you know, where they're creating ecosystems of innovators, and so to me, bringing people, you know, so it's not just these technologies that enable rapid, high-volume modular innovation, but it's saying okay now plugging lots of people's brains together is just going to, I think that, here's the- >> And all the data that throws off obviously. >> Throws a ton of data, but, to me the number we use it kind of is the punchline for, well where does multiplied innovation lead? A distributed cloud, this revolution in distributing modular massive scale development, that we think the next five years, we'll see as many new apps developed and deploye6d as we saw developed and deployed in the last forty years. So five years, the next five years, versus the last forty years, and so to me that's, that is the revolution. Because, you know, when that happens that means we're going to start seeing that long tail of used cases that people could never get to, you know, all the highly verticalized used cases are going to be filled, you know we're going to finally a lot of white space has been white for decades, is going to start getting a lot of cool colors and a lot of solutions delivered to them. >> Let's talk about some of the macro stuff, I don't know the exact numbers, but it's probably three trillion, maybe it's four trillion now, big market. You talked today about the market's going two x GDP. >> Yeah. >> For the tech market, that is. Why is it that the tech market is able to grow at a rate faster than GDP? And is there a relationship between GDP and tech growth? >> Yeah, well, I think, we are still, while, you know, we've been in tech, talk about those apps developed the last forty years, we've both been there, so- >> And that includes the iPhone apps, too, so that's actually a pretty impressive number when you think about the last ten years being included in that number. >> Absolutely, but if you think about it, we are still kind of teenagers when you think about that Andreson idea of software eating the world. You know, we're just kind of on the early appetizer, you know, the sorbet is coming to clear our palates before we go to the next course. But we're not even close to the main course. And so I think when you look at the kind of, the percentage of companies and industry process that is digital, that has been highly digitized. We're still early days, so to me, I think that's why. That the kind of the steady state of how much of an industry is kind of process and data flow is based on software. I'll just make up a number, you know, we may be a third of the way to whatever the steady state is. We've got two-thirds of the way to go. So to me, that supports growth of IT investment rising at double the rate of overall. Because it's sucking in and absorbing and transforming big pieces of the existing economy, >> So given the size of the market, given that all companies are tech companies. What are your thoughts on the narrative right now? You're hearing a lot of pressure from, you know, public policy to break up big tech. And we saw, you know you and I were there when Microsoft, and I would argue, they were, you know, breaking the law. Okay, the Department of Justice did the right thing, and they put handcuffs on them. >> Yeah. >> But they never really, you know, went after the whole breakup scenario, and you hear a lot of that, a lot of the vitriol. Do you think that makes sense? To break up big tech and what would the result be? >> You don't think I'm going to step on those land mines, do you? >> Okay well I've got an opinion. >> Alright I'll give you mine then. Alright, since- >> I mean, I'll lay it out there, I just think if you break up big tech the little techs are going to get bigger. It's going to be like AT&T all over again. The other thing I would add is if you want to go after China for, you know, IP theft, okay fine, but why would you attack the AI leaders? Now, if they're breaking the law, that should not be allowed. I'm not for you know, monopolistic, you know, illegal behavior. What are your thoughts? >> Alright, you've convinced me to answer this question. >> We're having a conversation- >> Nothing like a little competitive juice going. You're totally wrong. >> Lay it out for me. >> No, I think, but this has been a recurring pattern, as you were saying, it even goes back further to you know, AT&T and people wanting to connect other people to the chiraphone, and it goes IBM mainframes, opening up to peripherals. Right, it goes back to it. Exactly. It goes back to the wheel. But it's yeah, to me it's a valid question to ask. And I think, you know, part of the story I was telling, that multiplied innovation story, and Bill Joy, Joy's Law is really about platform. Right? And so when you get aggregated portfolio of technical capabilities that allow innovation to happen. Right, so the great thing is, you know, you typically see concentration, consolidation around those platforms. But of course they give life to a lot of competition and growth on top of them. So that to me is the, that's the conundrum, because if you attack the platform, you may send us back into this kind of disaggregated, less creative- so that's the art, is to take the scalpel and figure out well, where are the appropriate boundaries for, you know, putting those walls, where if you're in this part of the industry, you can't be in this. So, to me I think one, at least reasonable way to think about it is, so for example, if you are a major cloud platform player, right, you're providing all of the AI services, the cloud services, the compute services, the block-chain services, that a lot of the sass world is using. That, somebody could argue, well, if you get too strong in the sass world, you then could be in a position to give yourself favorable position from the platform. Because everyone in the sass world is depending on the platform. So somebody might say you can't be in. You know, if you're in the sass position you'll have to separate that from the platform business. But I think to me, so that's a logical way to do it, but I think you also have to ask, well, are people actually abusing? Right, so I- >> I think it's a really good question. >> I don't think it's fair to just say well, theoretically it could be abused. If the abuse is not happening, I don't think you, it's appropriate to prophylactically, it's like go after a crime before it's committed. So I think, the other thing that is happening is, often these monopolies or power positions have been about economic power, pricing power, I think there's another dynamic happening because consumer date, people's data, the Facebook phenomenon, the Twitter and the rest, there's a lot of stuff that's not necessarily about pricing, but that's about kind of social norms and privacy that I think are at work and that we haven't really seen as big a factor, I mean obviously we've had privacy regulation is Europe with GDPR and the rest, obviously in check, but part of that's because of the social platforms, so that's another vector that is coming in. >> Well, you would like to see the government actually say okay, this is the framework, or this is what we think the law should be. I mean, part of it is okay, Facebook they have incentive to appropriate our data and they get, okay, and maybe they're not taking enough responsibility for. But I to date have not seen the evidence as we did with, you know, Microsoft wiping out, you know, Lotus, and Novel, and Word Perfect through bundling and what it did to Netscape with bundling the browser and the price practices that- I don't see that, today, maybe I'm just missing it, but- >> Yeah I think that's going to be all around, you know, online advertising, and all that, to me that's kind of the market- >> Yeah, so Google, some of the Google stuff, that's probably legit, and that's fine, they should stop that. >> But to me the bigger issue is more around privacy.6 You know, it's a social norm, it's societal, it's not an economic factor I think around Facebook and the social platforms, and I think, I don't know what the right answer is, but I think certainly government it's legitimate for those questions to be asked. >> Well maybe GDPR becomes that framework, so, they're trying to give us the hook but, I'm having too much fun. So we're going to- I don't know how closely you follow Facebook, I mean they're obviously big tech, so Facebook has this whole crypto-play, seems like they're using it for driving an ecosystem and making money. As opposed to dealing with the privacy issue. I'd like to see more on the latter than the former, perhaps, but, any thoughts on Facebook and what's going on there with their crypto-play? >> Yeah I don't study them all that much so, I am fascinated when Mark Zuckerberg was saying well now our key business now is about privacy, which I find interesting. It doesn't feel that way necessarily, as a consumer and an observer, but- >> Well you're on Facebook, I'm on Facebook, >> Yeah yeah. >> Okay so how about big IPOs, we're in the tenth year now of this huge, you know, tail-wind for tech. Obviously you have guys like Uber, Lyft going IPO,6 losing tons of money. Stocks actually haven't done that well which is kind of interesting. You saw Zoom, you know, go public, doing very well. Slack is about to go public. So there's really a rush to IPO. Your thoughts on that? Is this sustainable? Or are we kind of coming to the end here? >> Yeah so, I think in part, you know, predicting the stock market waves is a very tough thing to do, but I think one kind of secular trend is going to be relevant for these tech IPOs is what I was mentioning earlier, is that we've now had a ten, twelve year run of basically startups coming in and reinventing industries while the incumbents in the industries are basically sitting on their hands, or sleeping. So to me the next ten years, those startups are going to, not that, I mean we've seen that large companies waking up doesn't necessarily always lead to success but it feels to me like it's going to be a more competitive environment for all those startups Because the incumbents, not all of them, and maybe not even most of them, but some decent portion of them are going to wind up becoming digital giants in their own industry. So to me I think that's a different world the next ten years than the last ten. I do think one important thing, and I think around acquisitions MNA, and we saw it just the last few weeks with Google Looker and we saw Tab Low with Salesforce, is if that, the mega-cloud world of Microsoft, Ajer, and Amazon, Google. That world is clearly consolidating. There's room for three or four global players and that game is almost over. But there's another power position on top of that, which is around where did all the app, business app guys, all the suite guys, SAP, Oracle, Salesforce, Adobe, Microsoft, you name it. Where did they go? And so we see, we think- >> Service Now, now kind of getting big. >> Absolutely, so we're entering a intensive period, and I think again, the Tab Low and Looker is just an example where those companies are all stepping on the gas to become better platforms. So apps as platforms, or app portfolio as platforms, so, much more of a data play, analytics play, buying other pieces of the app portfolio, that they may not have. And basically scaling up to become the business process platforms and ecosystems there. So I think we are just at the beginning of that, so look for a lot of sass companies. >> And I wonder if Amazon could become a platform for developers to actually disrupt those traditional sass guys. It's not obvious to me how those guys get disrupted, and I'm thinking, everybody says oh is Amazon going to get into the app space? Maybe some day if they happen to do a cam expans6ion, But it seems to me that they become a platform fo6r new apps you know, your apps explosion.6 At the edge, obviously, you know, local. >> Well there's no question. I think those appcentric apps is what I'd call that competition up there and versus kind of a mega cloud. There's no question the mega cloud guys. They've already started launching like call center, contact center software, they're creeping up into that world of business apps so I don't think they're going to stop and so I think that that is a reasonable place to look is will they just start trying to create and effect suites and platforms around sass of their own. >> Startups, ecosystems like you were saying. Alright, I got to give you some rapid fire questions here, so, when do you think, or do you think, no, I'm going to say when you think, that owning and driving your own car will become the exception, rather than the norm? Buy into the autonomous vehicles hype? Or- >> I think, to me, that's a ten-year type of horizon. >> Okay, ten plus, alright. When will machines be able to make better diagnosis than than doctors? >> Well, you could argue that in some fields we're almost there, or we're there. So it's all about the scope of issue, right? So if it's reading a radiology, you know, film or image, to look for something right there, we're almost there. But for complex cancers or whatever that's going to take- >> One more dot connecting question. >> Yeah yeah. >> So do you think large retail stores will essentially disappear? >> Oh boy that's a- they certainly won't disappear, but I think they can so witness Apple and Amazon even trying to come in, so it feels that the mix is certainly shifting, right? So it feels to me that the model of retail presence, I think that will still be important. Touch, feel, look, socialize. But it feels like the days of, you know, ten thousand or five thousand store chains, it feels like that's declining in a big way. >> How about big banks? You think they'll lose control of the payment systems? >> I think they're already starting to, yeah, so, I would say that is, and they're trying to get in to compete, so I think that is on its way, no question. I think that horse is out of the barn. >> So cloud, AI, new apps, new innovation cocktails, software eating the world, everybody is a tech company. Frank Gens, great to have you. >> Dave, always great to see you. >> Alright, keep it right there buddy. You're watching The Cube, from Actifio: Data Driven nineteen. We'll be right back right after this short break. (bouncy electronic music)
SUMMARY :
Brought to you by Actifio. We're here at the Intercontinental Hotel at many years, of course, you know, You know you gave your version of the wave slides. an ecosystem, think of GitHub, you know, I mean, you know, Bennyhoff says that, you know, that you quantify is just it's every company now. digital or cloud services so, you know, we watched the you know, the mainframe wave get crushed we've talked about AI, what's that, you know, sandwich, you know, it is the mixture of number one the cocktail because that's you know, and so to me, bringing people, you know, are going to be filled, you know we're going to I don't know the exact numbers, but it's probably Why is it that the tech market is able to grow And that includes the iPhone apps, too, And so I think when you look at the and I would argue, they were, you know, breaking the law. But they never really, you know, Alright I'll give you mine then. the little techs are going to get bigger. Nothing like a little competitive juice going. so that's the art, is to take the scalpel I don't think it's fair to just say well, as we did with, you know, Microsoft wiping out, you know, Yeah, so Google, some of the Google stuff, and the social platforms, and I think, I don't know I don't know how closely you follow Facebook, I am fascinated when Mark Zuckerberg was saying of this huge, you know, tail-wind for tech. Yeah so, I think in part, you know, predicting the buying other pieces of the app portfolio, At the edge, obviously, you know, local. and so I think that that is a reasonable place to look Alright, I got to give you some rapid fire questions here, diagnosis than than doctors? So if it's reading a radiology, you know, film or image, But it feels like the days of, you know, I think that horse is out of the barn. software eating the world, everybody is a tech company. We'll be right back right after this short break.
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Joyce Lin, Postman | DevNet Create 2019
>> live from Mountain View, California It's the queue covering definite create twenty nineteen Brought to you by Cisco >> Hey, welcome back to the cave, Lisa Martin with John Barrier. We're coming to you Live from the Computer System Museum at the third annual Cisco Definite Create twenty nineteen Excited to be joined by Joycelyn Developer Advocate from Postman Joyce Welcome to the Q Thank you. So you are a developer advocate. But postman is a tool that helps the community learn about Cisco ap eyes Postman is a Cisco was a customer of yours but a little bit about your experience at definite cry Because you have an interesting story from last year, which was your first year of this event >> Exactly last year. We just happen to stop by. And as I was walking through this very room you hear all these workshops going on behind us My ears perked up cause I heard somebody say python in postman or two of most powerful tools And I was like, Hey, I >> work a postman >> So I like, stopped in to see and I slapped my team back immediately at the office there, really using postman to teach Cisco Technology here. >> That was surprising to you. And here you are now here a year later. Tell us some of the things that you're expecting to learn and hear and feel and see from twenty nineteen. Create. >> So this year I hear about all these people learning postman learning about tech through postman. So I'm actually giving to talks this afternoon The first talks talking about building the community because a lot of people use postman in the second talk is about using mock servers. Had a fake an AP I until you actually coded and deploy it. >> Take a minute to explain. Postman. Why is it so popular? Why Francisco jazzed about it? What are they using it for? How they bring that in take a minute to talk about what you guys do >> Well, several years ago, when postman started as a side project was primarily for developers and help developers do their day to day jobs. But we found a lot more People are interacting with technology or working at tech companies where they might not have the setup to initiate a request. AP I request, and so postman allows them tio on their desktop be able. Teo interact with the tech in a way that normally they wouldn't have the whole set up to do it. >> So So in terms of developers, what's is a freemium model? They do have a free hand leads >> premium. And I think within the last year we've scooch almost anything that used to be a paid feature down to free so you can try it out. And in fact, if you have a small business or a side project, it's it's free. >> And what's the talk track? You're gonna have to get to talks. One on community, one on serve servers. Monster. >> Yeah, So Mock service is something that I thought might be interesting to this crowd. But a lot of these people have are in charge of managing the infrastructure or supporting existing AP eyes or services that are out in the cloud. And so mock servers are a way that you can essentially mock an FBI for parallel development or to build a prototype put into >> you. And so this helps develop, get faster app up and running. And then what happens when they have to get rid of mock server and put a real server on there? They had built out the re p I. Is that what happens? >> Typically, they're spinning Oppa marks over first, and then they're building out their own servers. So, yeah, they would swap out the mock with their own. >> And what's the other talk on community? Just how did do a community open sores? What's the aspects of the community talk? >> It's kind of on >> odd topic for this kind of crowd, but a lot of people work for companies that are or work for teams where they're just trying to build, like, a sense of community or foster some sort of mission. And so just telling the Postman story and Postman was free for absolutely free for a super long time in growth has just been astronomical. >> You're six million developers on the planet working on that, but I can't say on the company's one hundred thirty million plus AP eyes. And that's all. Just since the company was established in twenty fourteen after this sort of side project that you talked about so pretty, >> pretty quick >> growth trajectory that you guys are on >> and a lot of it was word of mouth. I mean, until I came here last year and heard all the system people talking about how they're using postman. We did not know that. >> So how have how has Postman actually evolved your technology in the last year? Just since you stumbled upon? Wow, this we're actually really hot here. We are really facilitator of developers. This community that's now what five hundred eighty five thousand members strong Learn about Cisco AP eyes. I'd love to know how that has sort of catalyzed growth for postman. Well, back in the >> day, Postman started as developer first. So here's an individual developer. How can they work more effectively? But teams like Cisco you'll be lucky if you find a team of ten people these air hundreds and thousands of developers coming together to work together. So postman as a tool has shifted from focusing on on ly the developer to how do you support developers working in larger teams? >> So what? The community angle? Because one of the things that Lise and I were just talking about you she does a lot of women in tech interviews with Cube and we're building out these communities ourselves and in Silicon Valley, the old expression fake it till you make it. It's kind of a startup buzzword, but people try to fake community or by community. You really can't get away with that. In communities, communities are very fickle. A successful open source projects you've gotta contribute. You've gotta have presence. You've got to show your work to get you to the bad actors. It's >> pretty >> efficient. But things air new now in communities this modern era coming into slag, you got tools. How is community evolving? That's your perspective on this. >> That's an interesting question. I think the community you never wanted fake community absolutely agree, and something that Postman is kind of lagged on is the community's been huge, but we haven't really been involved. So around the world we have people giving workshops that we don't even know about, like around the world. And how can we support them and allow them to tell, teach things consistently and teach best practices? So I wouldn't say unfortunately, well or fortunately, we're not in the position where we have to encourage the growth, but rather just support the people that are already doing this. This >> is the pure ingredient Teo Community development, because you're enabling other people to be relevant with their communities. So you're not so much like just trying to be a community player. You're just your product enables community growth. >> Absolutely. Yeah. >> You just gotta come feed >> postman as a tool. And then postman, the seeds >> of community. >> Yeah, we're healthy. >> So talk about some of the where you guys locate. How many people in your company? What's this? What numbers >> were headquartered in San Francisco. We have a huge engineering department in Bangalore where our founders air from. And I think just a few months ago, we started having distributed people. So now we're everywhere. I think we're about a hundred head count. Uh, fifty five percent of that is engineering. So where? I don't know where a >> start off. I mean, they were started hunting with number two hundred thousand companies using the technologies. We said over six million developers. How do you get a handle on to your point earlier supporting all of these groups that are out there enabling us Johnson enabling and fueling communities like Deb. Nanny? How do you start that with a one hundred person organization? >> Yeah. I'm so glad you're like, Wow, that doesn't seem like a huge organization because other people are like I thought you are way bigger than that. One thing is that we do listen to our community. And so if they're having a pain point way, try to aggregate all those voices and then come out with a cohesive road map because what might be the loudest voice for even a lot of voices might not be what's right for the tool. The other thing is, we're not open source company, but we have a ton of open source projects. So the community has again developed converters, integrations all these open source tools that for their specific workflow works for them. And actually, they're sharing with the community. >> How did you get into all this? How did you join the company? What attracted you and what's what story? >> Well, I'm in San Francisco, so I work for a tech company. I have a hodgepodge background, but I won't go into because it just sounds confusing. Some people call me the Wolverine at work. >> That's a nickname. >> Um, hopefully it's not because I'm so Harry, but because I've had many lives, so I I kind of bring a little bit of that, too. My developer advocate role, a little bit of product, A little bit of marketing, little bit of the business side. >> It's good versatility, lot of versatility. Yeah, let me ask a question. One of the things we've been covering is actually we love cloud nated. We've been covering cloud in the early days. Oh, wait. Oh, seven All the way through Love Cloud native We get that check enterprises Ha! You see Cisco using your stuff. Enterprise developers are hot right now. People are fast filling applications has got a cloud native flare to a definite create. It's also gotta integrate into the classic enterprise. What's the difference in your view and your experience, your observations between enterprise developers and then your classic You know, hard core cloud native developer >> I would say that's something that postman, as an organization is dealing with right now because we started developer first. Now we're finding Oh, it's a different person making these decisions. What tools should we use? Sometimes it's top down, but at the end of the day, it's always the developer that is going to support a top down decision. A developer that's going to find the utility out of certain tool. So we're shifting our focus. But not necessarily by that much. Because long as you focus developer first, it's still >> so enterprise. Kind of taking more of a classic cloud developer or native cloud native developer. You think that kind of profile you in your mind? >> Well, again, you have an enterprise developer. But what? Where's that enterprise developer going to be in two years? So we're not hanging our hat too much on Enterprise? Only now >> what do you want? The Ciscos measures of programming. The network. I mean, infrastructure is code. That's kind of a nice value proposition. Take the complexity away. What's your take on reaction toe that vision? >> I don't know what you're talking >> about. I don't know what part. >> What part of tell you are. >> Well, they're saying developers shouldn't have to configure hardware. You know, abstract the network capabilities out and make it code. So the developers just it just happens. >> Got it? Yeah, And if you think about how you Khun scale, can you scale linearly or exponentially? Enabling every developer or team to deploy their own code at their own pace with their own tools is something that allows you to scale exponentially. So things like mock servers that were talking about earlier. If I'm relying on somebody, that's my bottleneck. To spin this up with the normal workflow for the organization, that's a bottleneck. Spin up your own mock server. >> Find mock servers were great. Resource because remember the old days and mobile the emulators kind of had to have an emulator to kind of get going. Okay, that was, like five years, but similar model like, Hey, I don't need I can't build that out now. But I need to know what it's gonna look like so I can get this done. >> And that allows you to iterated at the fastest >> level at the local >> developer level. >> We've been covering the old days here in the Cube world. >> Throwback. Joyce, thanks so much for your time joining us on the cue program this morning. It a definite creed. Best of luck in your two sessions later on today. We look forward to seeing you next time. Great. Thank you. Nice to meet you for John Ferrier. I'm Lisa Martin. You're watching to keep live from Cisco Definite create twenty nineteen. Thanks for watching
SUMMARY :
We're coming to you Live from the Computer System Museum And as I was walking through this very room you So I like, stopped in to see and I slapped my team back immediately at the office there, really using postman to teach And here you are now here a year later. So I'm actually giving to talks this afternoon The first talks talking about building the community because How they bring that in take a minute to talk about what you guys do and help developers do their day to day jobs. down to free so you can try it out. You're gonna have to get to talks. And so mock servers are a way that you can essentially They had built out the re p I. Is that what happens? Typically, they're spinning Oppa marks over first, and then they're building out their own servers. And so just telling the Postman story and Postman was free for absolutely Just since the company was established in twenty fourteen after and a lot of it was word of mouth. Well, back in the you support developers working in larger teams? Because one of the things that Lise and I were just talking about you she does a lot of women in tech interviews you got tools. I think the community you never wanted fake community absolutely is the pure ingredient Teo Community development, because you're enabling other people Yeah. And then postman, the seeds So talk about some of the where you guys locate. And I think just a few months ago, we started having distributed people. you get a handle on to your point earlier supporting all of these groups that are So the community has again developed the Wolverine at work. a little bit of product, A little bit of marketing, little bit of the business side. One of the things we've been covering is actually we love cloud nated. Because long as you focus developer You think that kind of profile you in your mind? Well, again, you have an enterprise developer. what do you want? I don't know what part. So the developers just it just at their own pace with their own tools is something that allows you to scale exponentially. But I need to know what it's gonna look like so I can get this We look forward to seeing you next time.
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Yaron Haviv, Iguazio | CUBEConversation, April 2019
>> From our studios in the heart of Silicon Valley. HOLLOWAY ALTO, California It is a cube conversation. >> Hello and welcome to Cube conversations. I'm James Kabila's lead analyst at Wicked Bond. Today we've got an excellent guest. Who's a Cube alumnus? Par excellence. It's your own Haviv who is the founder and CEO of a guajillo. Hello. You're wrong. Welcome in. I think you're you're coming in from Tel Aviv. If I'm not mistaken, >> right? Really? Close the deal of any thanks from my seeing you again. >> Yeah. Nice to see you again. So I'm here in our Palo Alto studios. And so I'm always excited when I can hear your own and meet with your room because he always has something interesting in new to share. But what they're doing in the areas of cloud and serve earless and really time streaming analytics And now, data science. I wasn't aware of how deeply they're involved in the whole data Science pipelines, so ah, your own. This is great to have you. So my first question really is. Can you sketch out? What are the emerging marketplace requirements that USA gua Si are seeing in the convergence of all these spaces? Especially riel time streaming analytics edge computing server lis and data science and A I can you give us a sort of ah broad perspective and outlook on the convergence and really the new opportunities or possibilities that the convergence of those technologies enable for enterprises that are making deep investments. >> Yeah, so I think we were serving dissipated. What's happening now? We just call them different names will probably get into into this discussion in a minute. I think what you see is the traditional analytics and even data scientist Science was starting at sort of a research labs, people exploring cancer, expressing, you know, impact. Whether on, you know, people's moved its era. And now people are trying to make real or a Y from a guy in their assigned, so they have to plug it within business applications. Okay, so it's not just a veil. A scientist Inning the silo, you know, with a bunch of large that he got from his friends, the data engineer in the scan them and Derrickson Namesake runs to the boss and says, You know what? You know, we could have made some money in a year ago. We've done something so that doesn't make a lot of impact on the business, where the impact on the business is happening is when you actually integrate a I in jackpot in recommendation engines in doing predictive analytics on analyzing failures and saving saving failures on, you know, saving people's life. Those kind of use cases. Doctors are the ones that record a tighter integration between the application and the data and algorithms that come from the day I. And that's where we started to think about our platform. Way worked on a real time data, which is where you know, when you're going into more production environment of not fatal accident. Very good, very fast integration with data. And we have this sort of fast computation layer, which was a one micro services, and now everyone talks about micro services. We sort of started with this area, and that is allowing people to build those intelligent application that are integrated into the business applications. And the biggest challenges they see today for organizations is moving from this process of books on research, on data in a historical data and translating that into a visit supplication or into impact on business application. This is where people can spend the year. You know, I've seen the tweet saying with build a machine learning model in, like, a few weeks. And now we've waited eleven months for the product ization. So that artifact, >> Yes, that's what we're seeing it wicked bomb. Which is that A. I is the heart of modern applications in business and the new generation of application developers, in many ways, our data scientists, or have you know, lovers the skills and tools for data science. Now, looking at a glass zeros portfolio, you evolve so rapidly and to address a broader range of use cases I've seen. And you've explained it over the years that in position to go, as well as being a continuous data platform and intelligent edge platform, a surveillance platform. And now I see that you're a bit of a data science workbench or pipeline tooling. Clever. Could you connect these dots here on explain what is a guajillo fully >> role, Earl? Nice mark things for this in technology that we've built, OK, just over the years, you know, people, four years when we started, So we have to call it something else. Well, that I thought that analytic sort of the corporate state of science. And when we said continued analytics, we meant essentially feeding data and running, some of them speaking some results. This is the service opposed to the trend of truth which was dating the lady Throw data in and then you run the batch that analytic and they're like, Do you have some insight? So continue statistics was served a term that we've came up with a B, not the basket. You know, describe that you're essentially thinking, needing from different forces crunching it, Prue algorithms and generating triggers and actions are responsible user requests. Okay on that will serve a pretty unique and serve the fireman here in this industry even before they called it streaming or in a real time, data science or whatever. Now, if you look at our architecture are architecture, as I explained before, is comprised of three components. The first event is a real time, full time model database. You know, you know about it really exceptional in his performance and its other capabilities. The second thing is a pursue miss engine that allows us to essentially inject applications. Various guys, initially we started with application. I sense you do analytics, you know, grouping joining, you know, correlating. And then we start just adding more functions and other things like inference, saying humans recognitions and analysis. It's Arab is we have dysfunction engine. It allows us a lot of flexibility and find the really fast for the engine on a really fast data there endure it, remarkable results and then this return calling this turn this micro assume it's finger serve Ellis who certainly even where have the game of this or service gang. And the third element of our platform is a sense she having a fully manage, passed a platform where a ll those micro services our data and it threw a self service into face surfing over there is a mini cloud. You know, we've recently the last two years we've shifted to working with coronaries versus using our own A proprietary micro spurs does or frustration originally. So we went into all those three major technologies. Now, those pit into different application when they're interesting application. If you think about edge in the engine in serving many clouds, you need variety of data, sources and databases. With you, no problem arose streaming files. Terra. We'LL support all of them when our integrated the platform and then you need to go micro services that developed in the cloud and then just sort of shift into the enforcement point in the edge. And you need for an orchestration there because you want to do suffer upgrades, you need to protect security. So having all the integrated separated an opportunity for us to work with providers of agin, you may have noticed our joint announcement with Google around solution for hedge around retailers and an i O. T. We've made some announcement with Microsoft in the fast. We're going to do some very interesting announcement very soon. We've made some joint that nonsense with Samsung and in video, all around those errands, we continue. It's not that we're limited to EJ just what happens because we have extremely high density data platform, very power of fish and very well integrated. It has a great feat in the India, but it's also the same platform that we sell in. The cloud is a service or we sell two on from customers s so they can run. The same things is in the clouds, which happens to be the fastest, most real time platform on the Advantage service. An essential feature cannot just ignore. >> So you're wrong. Europe. Yeah, Iguazu is a complete cloud, native development and run time platform. Now serve earless in many ways. Seems to be the core of your capability in your platform. New Cleo, which is your technology you've open sourced. It's bill for Prem bays to private clouds. But also it has is extensible to be usable in broader hybrid cloud scenarios. Now, give us a sense for how nuclear and civilised functions become valuable or useful for data science off or for executing services or functions of data of the data science pipeline kick you connect the dots of nuclear and data science and a I from the development standpoint >> church. So So I think you know, the two pillars that we have technology that the most important ones are the data. You know, we have things like twelve batons on our data engine is very high performance and nuclear functions, and also they're very well integrated because usually services stateless. So you know, you you end up. If you want to practice that they have some challenges with service with No, no, you can't. You stay for use cases. You can mount files. You have real time connections to data, so that makes it a lot more interesting than just along the functions. The other thing, with no clothes that is extremely high performance has about two hundred times faster than land. So that means that you can actually go and build things like the stream processing and joins in real time all over practice, their base activities. You can just go and do collectors. We call them those like things. Go fetch information from whether services from routers for the X cybersecurity analysis for all sorts of sensors. So those functions are becoming like, you know, those nanobots technology of off the movies is that you just send them over to go and do things for you, whether it's the daily collection and crunching, whether it's the influencing engines, those things that, for example, get a picture of very put the model, decide what's in the picture, and that this is where we're really comes into play. They nothing important you see now an emergence off a service patterns in data science. So there are many companies that do like mother influencing as a service city what they do, they launch an end point of your eleven point and serve runs the model inside you send the Vector America values and get back in the Americans and their conversion. It's not really different and service it just wait more limited because I don't just want to send a vector off numbers because usually I understand really like a geo location of my cellphone, which are user I D. And I need dysfunction to cross correlated with other information about myself with the location. Then came commendation of which a product they need to buy. So and then those functions also have all sorts of dependency exam on different packages. Different software environment, horribles, build structures, all those. This is really where service technologies are much more suitable now. It's interesting that if you'LL go to Amazon, they have a product called Sage Maker. I'm sure yes, which is dinner, then a science block. Okay, now sage mint for although you would say that's a deal use case for after Onda functions actually don't use Amazon London functions in sage maker, and you ask yourself, Why aren't they using Lambda Stage Maker just telling you, you know you could use Lambda is a blue logic around sage maker. And that's because because London doesn't feed the use case. Okay, because lambda doesn't it is not capable of storing large content and she learning miles could be hundreds of megabytes or Landa is extremely slow. So you cannot do hi concurrency influencing with will land the function so essentially had to create another surveillance and college with a different name. Although if they just would have approved Landa, maybe it was one or a Swiss are So we're looking, We've took it, were taken the other approach We don't have the resources that I have so we created a monster virus Engine one servant attention does batch Frost is saying scream processing, consort, lots of data, even rocketeer services to all the different computation pattern with a single engine. And that's when you started taking all this trend because that's about yeah, we need two version our code. We need to, you know, record all our back into dependencies. And although yes, service doesn't so if we just had to go and tied more into the existing frameworks and you've looked at our frantically product called Tokyo Jupiter, which is essentially a scientist, right, some code in his data's passport book and then in clicks. One command called nuclear Deploy, it automatically compiles, is their science artifact in notebooks, that server and converted into a real hand function that can listen in on your next city. People can listen on streams and keep the scheduled on various timing. It could do magic. So many other things. So, and the interesting point is that if you think about their scientists there, not the farmers, because they should be a scientist on this's means that they actually have a bigger barrier to write in code. So if you serve in this framework that also automates the law daughter scaling the security provisioning of data, the versions of everything in fact fantasies, they just need to focus on writing other them's. It's actually a bigger back for the book. Now, if you just take service into them, Epstein's and they will tell you, Yeah, you know, we know how to explain, Doctor. We know all those things, so they're very their eyes is smaller than the value in the eyes of their scientists. So that's why we're actually seeing this appeal that those those people that essentially focus in life trying math and algorithms and all sorts of those sophisticated things they don't want to deal with. Coding and maintenance are refreshed. And by also doing so by oppression analyzing their cool for service, you can come back to market. You can address calle ability to avoid rewriting of code. All those big challenges the organizations are facing. >> You're gonna have to ask you, that's great. You have the tools to build, uh, help customers build serve Ellis functions for and so forth inside of Jupiter notebooks. And you mentioned Sage Maker, which is in a WS solution, which is up in coming in terms of supporting a full data science tool chain for pipeline development. You know, among teams you have a high profile partnerships with Microsoft and Google and Silver. Do you incorporate or integrator support either of these cloud providers own data science workbench offerings or third party offerings from? There's dozens of others in this space. What are you doing in terms of partnerships in that area? >> Yeah, obviously we don't want to lock us out from any of those, and, you know, if someone already has his work bench that I don't know my customers say they were locking me into your world back in our work when things are really cool because like our Jupiter is connected for real time connections to the database. And yes, serve other cool features that sentir getting like a huge speed boost we have. But that's on A with an within vigna of round Heads and Integration, which reviews are creating a pool of abuse from each of one of the data scientist running on African essentially launch clubs on this full of civilians whose off owning the abuse, which are extremely expensive, is you? No. But what we've done is because of her. The technology beside the actual debate engine is open source. We can accept it essentially just going any sold packages. And we demonstrate that to Google in danger. The others we can essentially got just go and load a bunch of packages into their work match and make it very proposed to what we provide in our manage platform. You know, not with the same performance levels. Well, functionality wise, the same function. >> So how can you name some reference customers that air using a guajillo inside a high performance data science work flows is ah, are you Are there you just testing the waters in that market for your technology? Your technology's already fairly mature. >> That says, I told you before, although you know, sort of changed messaging along the lines. We always did the same thing. So when we were continuous analytics and we've spoken like a year or two ago both some news cases that we Iran like, you know, tell cooperators and running really time, you know, health, a predictive health, monitoring their networks and or killing birds and those kind of things they all use algorithms. You control those those positions. We worked with Brian nailing customers so we can feed a lot of there there in real time maps and do from detection. And another applications are on all those things that we've noticed that all of the use cases that we're working with involved in a science in some cases, by the way, because of sort of politics that with once we've said, we have analytics for continuous analytics, we were serving send into sent into the analytic schools with the organization, which more focused on survey data warehouse because I know the case is still serve. They were saying, and I do. And after the people that build up can serve those data science applications and serve real time. Aye, aye. OK, Ianto. Business applications or more, the development and business people. This is also why we sort of change are our name, because we wanted to make it very clear that we're aren't the carnage is about building a new applications. It's not about the warehousing or faster queries. On a day of Eros is about generating value to the business, if you ask it a specific amplification. And we just announced two weeks in the investment off Samsung in Iguazu, former that essentially has two pillars beyond getting a few million dollars, It says. One thing is that they're adopted. No cure. Is there a service for the internal clouds on the second one is, we're working with them on a bunch of us, Della sighs. Well, use case is one of them was even quoted in enough would make would be There are no I can not say, but says she knows our real business application is really a history of those that involves, you know, in in intercepting data from your sister's customers, doing real time on analytics and responding really quickly. One thing that we've announced it because of youse off nuclear sub picture. We're done with inferior we actually what were pulled their performance. >> You're onto you see if you see a fair number of customers embedding machine learning inside of Realtor time Streaming stream computing back ones. This is the week of Flink forward here in San San Francisco. I I was at the event earlier this week and I I saw the least. They're presenting a fair amount of uptake of ml in sight of stream computing. Do you see that as being a coming meet Mainstream best practice. >> Streaming is still the analytics bucket. OK, because what we're looking for is a weakness which are more interactive, you know, think about like, uh, like a chatterbox or like doing a predictive analytic. It's all about streaming. Streaming is still, you know, it's faster flow data, but it's still, sir has delay the social. It's not responses, you know. It's not the aspect of legacy. Is that pickle in streaming? Okay, the aspect of throughput is is higher on streaming, but not necessarily the response that I think about sparks streaming. You know, it's good at crossing a lot of data. It's definitely not good at three to one on would put spark as a way to respond to user request on the Internet S O. We're doing screaming, and we see that growth. But think where we see the real growth is panic to reel of inches. The ones with the customer logs in and sends a request or working with telcos on scenarios where conditions of LA car, if the on the tracks and they settled all sorts of information are a real time invent train. Then the customer closer says, I need a second box and they could say No, this guy needs to go away to that customer because how many times you've gotten technician coming to your house and said I don't have that more exactly. You know, they have to send a different guy. So they were. How do you impact the business on three pillars of business? Okay, the three pillars are one is essentially improving your china Reducing the risk is essentially reducing your calls. Ask him. The other one is essentially audio, rap or customer from a more successful. So this is around front and application and whether it's box or are doing, you know our thing or those kind of us kisses. And also under you grow your market, which is a together on a recommendation in at this time. So all those fit you if you want, have hey, I incorporated in your business applications. In few years you're probably gonna be dead. I don't see any bits of sustained competition without incorporating so ability to integrate really real data with some customer data and essentially go and react >> changes. Something slightly you mentioned in video as a partner recently, Of course, he announced that few weeks ago. At their event on, they have recently acquired Melon ox, and I believe you used to be with Melon Axe, so I'd like to get your commentary on that acquisition or merger. >> Right? Yes, yes, I was VP Data Center man Ox. Like my last job, I feel good friends off off the Guider, including the CEO and the rest of the team with medicines. And last week I was in Israel's with talk to the media. Kansas. Well, I think it's a great merger if you think about men in Ox Head as sort of the best that breaking and storage technology answer Silicon Side and the video has the best view technologies, man. It's also acquired some compute cheap technologies, and they also very, very nice. Photonics technologies and men are today's being by all the club providers. Remiss Troll was essentially only those technical engagement would like the seizures and you know the rest of the gas. So now VP running with the computation engine in and minerals coming, we serve the rest of the pieces were our storage and make them a very strong player. And I think it's our threatens intel because think about it until they haven't really managed to high speed networking recently. They haven't really managed to come with Jiffy use at your combat and big technology, and so I think that makes a video, sort of Ah, pretty. You know, vendor and suspect. >> And another question is not related to that. But you're in Tel Aviv, Israel. And of course, Israel is famous for the start ups in the areas of machine learning. And so, especially with a focus on cyber security of the Israel, is like near the top of the world in terms of just the amount of brainpower focused on cyber security there. What are the hot ML machine? Learning related developments or innovations you see, coming out of Israel recently related to cybersecurity and distributed cloud environments, anything in terms of just basic are indeed technology that we should all be aware of that will be finding its way into mainstream Cloud and Cooper Netease and civilised environments. Going forward, your thoughts. >> Yes, I think there are different areas, you know, The guys in Israel also look at what happens in sort of the U. S. And their place in all the different things. I think with what's unique about us is a small country is always trying to think outside of the box because we know we cannot compete in a very large market. It would not have innovation. So that's what triggers this ten of innovation part because of all this tippy expects in the country. And also there's a lot of cyber, you know, it's time. I think I've seen one cool startup. There's also backed by our VC selling. Serve, uh, think about like face un recognition, critical technology off sent you a picture and make it such that you machine learning will not be able to recognize Recognize that, you know, sort of out of the cyber attack for image recognition. So that's something pretty unique that I've heard. But there are other starts working on all the aspects on their ops and information in our animal and also cyber automated cyber security and hope. Curious aspect. >> Right, Right. Thank you very much. Your own. This has been an excellent conversation, and we've really enjoyed hearing your comments. And Iguazu. It was a great company. Quite quite an innovator is always a pleasure to have you on the Cube. With that, I'm going to sign off. This is James Kabila's with wicked bond with your own haviv on dh er we bid You all have a good day. >> Thank you.
SUMMARY :
From our studios in the heart of Silicon Valley. It's your own Haviv Close the deal of any thanks from my seeing you again. new opportunities or possibilities that the convergence of those technologies enable for A scientist Inning the silo, you know, with a bunch of large that Which is that A. I is the heart of modern applications built, OK, just over the years, you know, people, four years when we started, of data of the data science pipeline kick you connect the dots of nuclear and data science and a I from So, and the interesting point is that if you think You know, among teams you have a high profile partnerships with Microsoft and, you know, if someone already has his work bench that I don't know my customers say they were locking me are you Are there you just testing the waters in that market for your technology? you know, in in intercepting data from your sister's customers, This is the week of Flink forward here in San San Francisco. And also under you grow your market, which is a together Melon ox, and I believe you used to be with Melon Axe, so I'd like to get your commentary on that acquisition Well, I think it's a great merger if you think about men in in terms of just the amount of brainpower focused on cyber security there. And also there's a lot of cyber, you know, it's time. Quite quite an innovator is always a pleasure to have you on the Cube.
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Jonathan Rosenberg, Five9 | Enterprise Connect 2019
>> Live from Orlando, Florida It's the Cube covering Enterprise Connect twenty nineteen brought to you by five nine. >> Hello from Orlando and Lisa Martin with Student A Man. We are in the five nine booth at Enterprise Connect. Twenty nineteen. We're excited to welcome back to the cube of one of our alumni, Jonathan Rosenberg, CTO and Head of a Eye of five nine. Jonathan. Thanks so much for joining Stew and me on the program on Day one of this big event. >> My absolute pleasure. I'm super excited to be here and super excited talk about my favorite topic, so love to be >> so. This event is has been around for a long time. Twenty eight twenty nine years evolving from PBX to voice con enterprise Connect. You've been to this event about the last ten years or so, least your perspective, and I know you're new at five a. M. But your perspective on the evolution of not just the contact center but customer experience and really thiss changing landscape of how enterprises and people want to communicate with each other. >> Yeah, well, I mean, it's been funny to sort of watch this through this technology. Evolution that manifested the show and in the market for a long time was about hardware by big, bulky iron and we used to have the petting, the hardware, petting zoos, we call it. You have racks of equipment. You could go look at this >> blinky lights and >> cables, you know. And then it moved to software on. We saw that here and now we're deep into the software is a service, as cloud based delivery models and actually a bunch of ways were coming to the tail end of that into this aye aye era. And that's what's all the hotness, and you see tons of that. Almost everyone's put some kind of a eye logo, our branding on their stuff, and there's there is some real meat to it, but but that sort of this interesting evolution and on its in its infancy in the Contact Center. And that's what's sort of exciting about it. >> So let's dig into that a little bit, because a CZ Lisa mentioned you've worked for a couple of the other companies that have big boost here at the show. We've talked about intelligence back in the call center days. Oh, yeah, but, you know, tell us what's different about the Aye aye data. The center of everything is something that way. Definitely believe in something that we hear all over the industry in the cloud shows an A I and everything. Why is this so exciting? What really brought you five nine and gets you've got a storied career? You know what? Why here? Why now? >> What is the technology is finally ready. I mean, technologies like speech recognition. And we've been the industry has been working on that for decades. And it was only in the last five years or so with the sort of creation of practical deep learning that the tech finally got good enough. And and that was because of new algorithms, New date, you know, massive data sets, great hardware that all made it possible. And so that sort of opened up the avenues. And that's why we're seeing products like Alexa and Cirie take off. Is the tech is finally gotten good enough. But what hasn't happened? Yes, it hasn't shown up in the workplace, and that's sort of what's really exciting to me is to take these technologies that have become so pervasive in the consumer world and use them to really re imagine how a lot of these enterprise products work. That's why I came to five nine came to find time to do that. To do that for five nine to do that for the industry. >> So you had a session this morning. Five surprising reasons why a business should move their contact center to the cloud. And we know cost is not the number one. Talk to us about some of those key imperatives that an enterprise in any industry really needs to be able to take advantage of by moving to cloud >> right, so a cost was a unsurprising reasons. So what I did in my session was I said, all right. Five. Unsurprising. Here's ten. Here's ten obvious reasons. So I went through those and cost is one of them. But I know what's surprising. There's a couple of the big ones. Story, really is that if you go to a truce as player, they have lots of customers, and they can actually aggregate data software capabilities across those customers and do things that are impossible on premise. So the two of them, for example, are better reliability. Often people like what you know. I want to go to the cloud. I'm worried about reliability. Well, if you dig into it. You can see that once the technology is matured, the reliability can be much better than it is on premise. Because of the complexity that you could build. Same with security, often viewed is wait. It's more secure in promise. Actually, if you look at what you can do in the cloud, you can spend a lot more money on security and advertise that cost over multiple customers. And then, of course, there's a I, and that's about getting access to training data, but not just training data from one company, but using it across multiple companies to make the I work better for everybody. So those were three the big ones. >> So when you talk about that kind of learning, how do you make sure that there's proper firewalls is, you know, is five nine going to be able to say, Okay, we can take care of everything. But wait, I don't know what my competitors on this I don't want them getting advantage based on you know what my company have. How do you balance? You know, there's the security issues. There's, you know, personal information issues, and they're, you know, competitive dynamics, which you know, is a talking point in the cloud. These absolutely. I mean, >> so that's a That's a paramount consideration to design of this whole thing. So it starts with a basic level of like, opted, like we're just, you know, we can't do this, and we can't use your data to train a model that shared unless you want it. And generally it's a given get like, Oh, you want access to the shared model, then you you provide training data for it. If you don't, you can use a custom one, but it won't be as accurate. But then you don't show your day. That's your choice. So give the customer the option and give them something in return for their data. And, of course, there's other parts of it, like, Well, you know, almost all the time, people aren't actually like looking at your data, its dues to train. These model's ideally without human in the loop having to do that. And so there's other privacy considerations baked in that it's that makes it feel that gives a customer comfort that they're they're able to do this >> without trust is critical, right? We talk about it stew and ideo and the Cuban every show. But that's really essential because, as we know is consumers, we're more and more and more empowered. These days, there were transacting something through chatter, video or Alexa or we're checking on. The status of a mortgage is something We have so much information. They also are very demanding. You want to have this conversation with a business regardless of the channel, and I want them to know what I'm what my issue is so that it can be addressed and resolved quickly. But I also want to make sure that what you're doing is not, you know, in the issue of privacy that we've all faced recently that it's done in a way where this business can actually foster a trusting relationship with me is like, >> Yeah, so the trust goes on many levels, one of which the most important to us is our customers have to trust us, and that's the only thing that gives trust his time. You know, you have to be invested for a long time, and so we've really focused on building this longtime customer trust with our reliability, with our high touch with our customers, and that gets us That's really just what gives us permission to even start to do these things. The other thing to to touch on what you said is that end users contact the contact center. That's one of the areas were actually there is already in the user expectation that my call is being recorded, that what I say can be used for training purposes. So one of the reasons I got into Contact Center was that the privacy issues are much more readily addressed in the contacts and space and other areas where you might be interested to apply this type of technology. I mean, we're talking about having a eyes that are listening in on calls and analyzing what you say. If I were to do that for a regular phone call between me and my friend like people be totally spooked like there's no expectation that that happens. There is an expectation on the contact center, so that's a great place to build and grow these technologies. >> Yeah, I love that because, right, those of us that have, you know, personal assistant at home there's almost an expectation that they're living listening in a little bit. Everybody's had the weight I was talking about that with someone not even on the phone, and all of a sudden I'm getting ads for that. That's not right. So question I have for you, you hired your first data scientist in the group. And one of things we look at is we now have this, you know, great access to data. One of the biggest challenges is okay, I can get the answers if I know the right questions to ask, What are some of the early areas that you're poking at? Any early use cases that you can share as to, you know, where we where we cease? Um, how did you >> do that? One of the first things we're looking at is what I'm calling cross customer analytics. So analytics is old news. Everyone's had that for a while. But what the cloud does is it gives a provider like us date across multiple customers. Now what we can't do is share one customer state is with another. That's a total nut. It's not what I'm talking about. But aggregates are interesting. So, for example, would be intrigued to know this is my first call resolution rate. How does that compare to similarly sized contact centers in my geography right, And that's something where we can produce an aggregate that has total anonymous ation. So no privacy issues, and it gives a customer this piece of insight that they have never, ever had before. Never, and the only way you could do it with enough privacy. Seven of data to produce a useful AGR ee it, and therefore it can only be done at the larger cloud contact centers and thus five nine, as one of the market leaders were wear having enough data to produce this kind of information. So this was an immediate, frankly fairly low hanging piece of fruit. We've started to dive into no product announcements. It's just just looking at data to see what comes out and see if there's interesting meet there. But it's a kind of insights. I'm really excited about >> it. I love that because people are always like, Oh, wait, I need to measure it. But sometimes numbers alone don't tell me anything. You gotta put that into context for me, right? What are my peers? What? One of my industry. You know, what other stuff do I have there? Otherwise, you know, numbers are just numbers. >> Numbers are just numbers. You don't really know how you're doing. You're like a little island, like, you know, your contact center is doing, but is that good? You have no idea. And we'LL be able to unlock that overtime. So very excited about that. >> Yeah. Sorry, Stuart, You guys have about five billion recorded customer conversations, so you can I can think of the massive amount of competitive advantage that's in there. But you also brought out something that I hadn't considered before. And that is whether I'm, you know, interacting with the business because I haven't issue to resolve with my Internet or something. And you're right. We do have this expectation that the call's going to be recorded, but I never think about it is this is actually something it's gonna help me down the line or the fifty other people that aren't calling in. So I thought your comment on privacy being kind of more advanced in the context of her was was point. It was very interesting and not something that I was aware. >> Yeah, it >> has to be right >> exactly. There's there's an expectation that this is what this conversation is about and and there's lots of tools in place for dealing with today. Already with credit card numbers and phone numbers, which do get communicated between a user and the comics in URGENT there's lots of you know, tak and precedent about how to read, act and extract and again all in the contacts and are nowhere else really does that technology exists. So >> yeah, so Jonathan, take us inside the life of the agent, so we know when we're from call centre to Contact Center. It really brought in the role a little bit when I've got a eye in there is their new skill sets. We need tohave. You know, we always talk about, you know, if if you're doing the same thing you were doing five years ago, chances are you might need to be looking for a new job, because by so fast, so in the context center, you know what, What? What is the life of the agent likely to go through over the next couple of years? >> So this is an interesting debate in the lemon, the industry, and there's sort of two thought camps in this one thought camp is the role of A I is to replace the agent. And this, frankly, is fairly traditional thinking. We use terms like Deflection, right, like we want to deflect the call from an agent means we don't want you to connect to a human being or containment, right? How successful were we keeping the call in the I. V. R. And a customer never got to an agent like these air industry terms, and they were. And people view a I is like helping those things. There's a different camp of which you can tell I'm sort of in, which is like, No, no, no, that's sort of the traditional way of thinking about it. And of course, we're gonna have voice spots and I V R is. But really, the question is, how do we deliver the best customer experience possible? That should actually be the guide post, and what's funny is in this industry we know what the best customer experiences. It's that you pick up the phone, you call the comic center. You didn't wait one second. You went right to an agent. They were an expert. They knew exactly what to do. They fixed their problem in twenty seconds, you were done. That's the best experience. The problem is, is no one can afford to deliver that experience today. Well, that's where technology could help. So for me, the central question is, how do we use a >> eye >> to label us to make it cost effective to deliver that experience all the time and that does have an impact on the agents. And it's going to be through assistance technologies that allow the agents to be guided in their interactions and allowing them to be experts quicker and to learn from the best experts in the contact center and change the way they think about training and access to data knowledge. It's going to be a pretty profound change, but it never takes the human out of the loop people. When you pick up the phone to call that Connick Center, it's because you actually want to talk to a person and that human touch, that empathy that you know, someone just tow, you know, vent at a little bit that matters, and we're nowhere anywhere near having an A. I provide that if ever so that's what's going to change >> humans and machines or Jonathan, Thank you so much for stopping by. The Cuban wedding was with me about what's happening at five nine. Contact Centerist Service and the tremendous advantage that data could bring two organizations. >> My pleasure. Thank >> you. Thank you for watching the Cube. I'm Lisa Martin was stewed Minutemen on the program Today Live from Orlando at Enterprise Connect twenty nineteen stew and I will be right back after a short break.
SUMMARY :
covering Enterprise Connect twenty nineteen brought to you by five nine. Thanks so much for joining Stew and me on the program on Day one of this big event. so love to be of not just the contact center but customer experience and really thiss Evolution that manifested the show and you see tons of that. Oh, yeah, but, you know, tell us what's different about that have become so pervasive in the consumer world and use them to really re imagine how a lot of these enterprise key imperatives that an enterprise in any industry really needs to be able to take advantage Because of the complexity that you could build. But wait, I don't know what my competitors on this I don't want them getting advantage based on you to the shared model, then you you provide training data for it. We talk about it stew and ideo and the Cuban every show. The other thing to to touch on what you said is that end users Yeah, I love that because, right, those of us that have, you know, personal assistant at home there's and the only way you could do it with enough privacy. Otherwise, you know, numbers are just numbers. you know, your contact center is doing, but is that good? And that is whether I'm, you know, interacting with the business because I haven't issue to phone numbers, which do get communicated between a user and the comics in URGENT there's lots of you You know, we always talk about, you know, if if you're doing the same thing you were doing five years ago, chances are you It's that you pick up the phone, you call the comic center. to a person and that human touch, that empathy that you know, Contact Centerist Service and the tremendous advantage that data could My pleasure. Thank you for watching the Cube.
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Nima Badiey, Pivotal | Dell Boomi World 2018
(upbeat techno music) >> Live from Las Vegas, it's theCUBE. Covering Boomi World 2018. Brought to you by Dell Boomi. >> Good afternoon, welcome back to theCUBE's continuing coverage of Boomi World 2018 from Las Vegas. I'm Lisa Martin with John Furrier and we're welcoming back to theCUBE one of our alumni Nima Badiey, Head of Technology Ecosystems from Pivotal. Nima, welcome back. >> Thank you for having me back. >> So Pivotal, part of the Dell technologies part of the companies, >> Yeah. >> You guys IPOd recently. And I did read that of the first half 2018, eight of the 10 tech IPOs were powered by Boomi. >> Well, I don't know about that specific. I know that tech IPOs are making a big comeback. We did IPO on the 20th of April, so we've passed out six-month anniversary if you can say. But it's been a distinct privilege to be part of the overall Dell family of businesses. I think what you have in Michael as a leader, who, he has a specific vision, but he's left the independent operating units to work on their own, to find their path through that journey, and to help each other as brethren, as like sisters and brothers. And the fact that Pivotal is here supporting Boomi. That Boomi is within our conference of supporting our customers that we're working together really speaks volumes. I think if you take a look at it, a lot of things happened this week, right? So a couple weeks ago, IBM's acquiring RedHat, this morning VMWare's acquiring Heptio. That's a solid signal that the enterprise transformation and adoption of cloud native model is really taking off. So the new middleware is really all about the cloud native polyglock, multiglock environment. >> And what's interesting, I want to get your thoughts on this because first of all congratulations on the IP, some are saying Pivotal's never going to go public, and they did, you guys were spectacular, great success. But what's going on now is interesting. We're hearing here at this show, as other shows is, cloud scale and data are really at the center of this horizontally scalable cloud poly proposition. Okay great, you mention Kubernetes and Heptio and VM where, that's all great. The question that is how do you compete when ecosystems become the most important thing. You worked at VMware you're at Pivotal. Dell knows ecosystems. Boomi's got an ecosystem. Partners, which is also suppliers and integrators. >> Yeah. >> They integrate and also developers. This is a key competitive advantage. What's your take on that here? >> So I think you touched on the right point. You compete because of your ecosystem, not despite your ecosystem. We can't be completely hedgemonic like Microsoft or Cisco or Amazon can afford to be. And I don't think customers really want that. Customers actually want choice. They want the best options but from a variety of sources. And that's why one of the reasons that we not only invest Dell ecosystem but also in Pivotal's own ecosystem is to cultivate the right technologies that will help our customers on that journey. And our philosophy's always find the leaders in the quadrant. The Cadillac vendors, the Lexus vendors onboard them and the most important thing you can do is, to ensure a pristine customer experience. We're not measuring whether feature A from one partner is better than feature B from another partner. We really don't care. What we care about is we can hand wire and automate what would have been a very manual process for customers, so that, let's say Boomi with Cloud Foundry works perfectly out of the box. So the customers doesn't have to go through and hire consultants and additional external resources just to figure out how two pieces of software should work together, they just should. So when they make that buying decision they know that the day after that buying decision, everything's going to be installed and their developers and their app dev teams and their ops teams can be productive. So that's the power of the ecosystem. >> Can you talk about the relationship between Pivotal and Boomi, because Boomi's been born in the Cloud as start up. Acquired eight years ago. You're part of the Dell Technologies family. VMware's VMware, we know about VMware doing great. You guys doing great. Now Boomi's out there. So how do they factor into and what's the relationship you have with them and how does that work, how do you guys work together? >> Perfect question. So, in my primary role at Pivotal is to manage all of our partner ecosystems, specifically the technology partners. And what I look for are any force multipliers. Any essentially ISVs who can help us accomplish more together than we could on our own. Boomi's a classic example of that. What do they enable? So take your classic customer. Classic customer has, let's say, 100 applications in inventory that they have built, managed, and purchased procured off from shelf-to-shelf components. And roughly 20 or 30% are newish, green field applications, perfect for the cloud native transformation. Most 80% of them or 70% are going to be older, ground field applications that will have to be refactored. But there's always going to be that 15% towards the end that's legacy mainframe. It can't be changed, you cannot afford to modernize it, to restructure it, to refactor it. You're going to have to leave it alone, but you need it. Your inventory systems are there. >> These are critical systems, those people who think legacy as outdated, but they're actually just valued. >> No, they're critically valuable. >> Yes. >> We just cannot be modernized. >> Bingo. >> So a partner like Boomi will allow you to access the full breadth of those resources without having to change them. So I could potentially put Boomi in front of any number of older business applications and effectively modernize them by bridging those older legacy systems with the new systems that I want to build. So let's do an example. I am the Gap and I want to build a new version of our in-store procurement system that runs on my iPhone, that I can just point to a garment and it will automatically put it in my, ya know, check out box. How do I do that? Well I can build all the intelligence. And I can use AI and functions and I can build everything it's out of containers, that's great. But I still have to connect to the inventory system. Inventory system... >> Which is a database. All these systems are out there. >> Somewhere, something. And my developers don't know enough about the old legacy database to be able to use it. But if I put a restful interface using Boomi in front of it and a business connector that's not older XML or kind of inflexible, whatever, solo gateways. Then I have enabled my developer to actually build something that is real. That is customer focused. It is appropriate for that market without being hamstrung by my existing legacy infrastructure. And now my legacy infrastructure is not an anchor that's holding me back. >> You had mentioned force, me and Lisa talk about this all the time on theCUBE, where that scenario's totally legit and relevant because in the old version of IT you have to essentially build inventory management into the new app. You'd have to essentially kill the old to bring in the new. I think with containers and cloud native has shown is you can keep the old and sunset it if you want on your own time table or keep it there and make it productive. Make the data exposeble, but you can bring the cool relevant new stuff in. >> Yeah. >> I think that is what I see and we see from customers, like OK cool, I don't have to kill the old. I'll take care of it on my own timetable versus a complete switching cost analysis. Take down a production system. >> Exactly. >> Build something new, will it work. Ya know cross your fingers. Okay, again and this is a key IT different dynamic. >> It is and it's a realization that there are things you can move and those are immutable. They're simply just monolithic that will never move. And you're going to work within those confines. You can have the best of both worlds. You can maintain your legacy applications. They're still fine, they run most of your business. And still invent the new and explore new markets and new industries and new verticals. And just new capabilities all through and through without having to touch in your back end systems. Without having to bring the older vendors in and say can you please modernize your stuff because my business is dependent and I am going to lose that. I'm going to become the new Sears, I going to become the new Woolworth or whoever. Blockbuster that has missed an opportunity to vector into a new way of delivering their services. >> When you're having customer conversations, Nima, I'm curious, talking with enterprise organizations who have tons of data, all the systems including the legacy, which I'm glad that you brought up that that's not just old systems. There's a lot of business critical, mission critical application running on 'em. Where do you start that conversation with the large enterprise, who doesn't want to become a Blockbuster to your point, and going this is the suite of applications we have, where do we start? Talk to us about that customer journey that you help enable. >> That's great 'cause in most cases the customers already know exactly what they want. It's not the what that you have to have the conversation around, it's the how do I get there. I know what I want, I know what I want to be, I know what I want to design. And it's how do I transform my business fundamentally do an app transformation, enterprise transformation, digital transformation? Where do I begin? And so, ya know, our perspective at Pivotal is, ya know, we're diehard adopters of agile methodology. We truly, truly believe that you can be an agile development organization. We truly believe in Marc Andreessen's vision of software eating the world. Which let's unpack what that means. It just means that if you're going to survive the next 10 years you have to fundamentally become a software company, right? So look at all the companies we work with. Are you an insurance company or are you delivering an insurance product through software? Are you a bank or are you delivering banking product through software? Well, when was the last time you talked to a bank teller? Or the atm, most of your banking's done online. Your computer or your mobile device. Even my check cashing, I don't have to talk to anyone. It's wonderful. Ford Motor Company, do they bend sheet metal and put wheels on it or are they a software company? Well consider that your modern pickup truck has... >> They're an IOT company now. (laughing) (crosstalking) Manufacturing lines. >> That's what's crazy. You have a 150 million lines of code in your pickup truck. Your car, your pickup truck, your whatever is more software than it is anything else. >> But also data's key. I want to get your thoughts since this is super important Michael Dell brought up on the keynote today here at Boomi World was, okay the data's got to stay in the car. I don't need to have a latency issue of hey, I need to know nanosecond results. With data, cloud has become a great use case. With multicloud on the horizon, some people are going to throw data in multiple clouds and that's clear use case, and everyone can see the benefits of that. How do you guys look at this? 'Cause now data needs to be addressable across horizontal systems. You mentioned the Gap and the Gap example. >> That's great, so, one of the biggest trends we see in data is really event streaming. Is the idea that the ability to generate data far out exceeds the ability to consume it. So, what if we treated data as just a river? And I'm going to cast my line and only pick up what I want out of that stream. And this is where CAFCA and companies like Solice and any venturing networks and spring cloud functions and spring cloud data are really coming into play, is acknowledgement that yes we are not in a world where we can store all of the data all the time and figure out what to do with it after the fact. We need timely, and timely is within milliseconds, if not seconds. Action taken on an event or data even coming through. So why don't we modernize around, ya know, that type of data structure and data event and data horizon. So that's one of the trends we see. The second is that there is no one database to rule them all anymore. I can't get away with having oracle and that's my be all, end all. I now have my ESQL and SQL and Mongo and Cassandra and Redis and any other number of databases that are form, fit and function specific for a utility and they're perfect for that. I see graph databases, I see key value stores, I see distributed data warehouse. And so my options as a developer, as a user is really expanding, which means the total types of data components that I can use are also expanding exponentially. And that gives me a lot more flexibility on the types of products that I can build and the services that I can ultimately deliver. >> And that highlights micro services trend, because you have now a multitude of databases, it's not the one database rules them all. They'll be literally thousands of database on censors, so micro service has become the key element to connect all these systems. >> All of it together. And micro services really a higher level of abstraction. So we started with virtual machines and then we went to containers and then we went to functions and micro services. It's on an upward trend necessarily as it is an expansion. Into different ways of being able to do work. So some of my work products are going to be very, very small. They can afford to be ephemeral, but there may be many of them. How do I manage a cluster of millions of these potential work loads? Backing off I can have an ephemeral applications that run inside of containers or I can have ridged fixed applications that have to run inside a virtual machines. I'm going to have all of them. What I need is a platform that delivers all of this for me without me having to figure out how to hand wire these bits and pieces from various different either proprietary or open source kits just to make it work. I'm going to need a 60 to 100 or 200 person team just to maintain this very bespoke thing that I have developed. I'll just pull it off the shelf 'cause this is a solved problem. Right, Pivotal has already solved this problem. Other companies have already solved this problem. Let me start there and so now I'm here. I don't have to worry about all this left over plumbing. Now I can actually build on top of my business. The analogy I'd use is you don't bring furniture with you every time you check into a hotel. And we're telling customers every time you want to move to a different city just for business meeting or for work trip we're going to build you a house and you need to furnish it. Well, that's ridiculous. I'm going to check into a hotel and my expectation is I can check out of any other room and they'll all be the same, it doesn't really matter what floor I'm on, what room I'm in. But they'll have the same facilities, the same bed, the same, ya know, restroom facilities. That's what I want. That's what containers are. Eventually all the services surrounding that hotel room experience will be micro services. >> And we're the work load, the people. >> And we are the work load and we're the most important thing, we are the application, you're right. >> I love that. That's probably best analogy I've heard of containers. Nima, thanks so much for stopping by theCUBE, joining John and me today. And talking to us about what's going on with Pivotal and how you guys are really helping as part of Dell business dramatically transform. >> Been my pleasure. Thank you both. >> Thank you. >> Thank you. Thank you for watching theCUBE. I'm Lisa Martin with John Furrier. We are in Las Vegas at Boomi World '18. Stick around, John and I will be right back with our next guest. (light techno music)
SUMMARY :
Brought to you by Dell Boomi. back to theCUBE one of our alumni Nima Badiey, And I did read that of the first half 2018, That's a solid signal that the enterprise transformation The question that is how do you compete when ecosystems and also developers. and the most important thing you can do is, to ensure in the Cloud as start up. You're going to have to leave it alone, but you need it. those people who think legacy We just cannot that I can just point to a garment and it will automatically Which is a database. And my developers don't know enough about the old legacy because in the old version of IT you have to essentially like OK cool, I don't have to kill the old. Okay, again and this is a key IT different dynamic. It is and it's a realization that there are things you the legacy, which I'm glad that you brought up It's not the what that you have to have They're an IOT company now. You have a 150 million lines of code in your pickup truck. With multicloud on the horizon, some people are going to Is the idea that the ability to generate data far out so micro service has become the key element to connect applications that have to run inside a virtual machines. And we are the work load and we're the most important And talking to us about what's going on with Pivotal Thank you both. Thank you for watching theCUBE.
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