(upbeat music) >> Oracle is in the midst of an acceleration of its product cycles. It really has pushed new capabilities across its database, the database platforms, and of course the cloud in an effort to really maintain its position as the gold standard for cloud database. We've reported pretty extensively on Exadata, most recently the X9M that increased database IOPS and throughput. Organizations running mission critical OLTP, analytics and mix workloads tell us that they've seen meaningfully improved performance and lower costs, which you expect in a technology cycle. I often say if Oracle calls you out by name it's a compliment and it means you've succeeded. So just a couple of weeks ago, Oracle turned up the heat on MongoDB with a Mongo compatible API, in an effort to persuade developers to run applications in a autonomous database and on OCI, Oracle cloud infrastructure. There was a big emphasis by Oracle on acid compliance transactions and automatic scaling as well as access to multiple data types. This caught my attention because in the early days of no SQL, there was a lot of chatter from folks about not needing acid capability in the database anymore. Funny how that comes around. And anyway, you see Oracle investing, they spend money in R&D We've always said that`, they're protecting their moat. Now in social I've seen some criticisms like Oracle still is not adding enough new logos, and Oracle of course will dispute that and give you some examples. But to me what's most impressive is the big name customers that Oracle gets to talk in public. Deutsche Bank, Telephonic, Experian, FedEx, I mean dozens and dozens and dozens. I work with a lot of companies and the quality of the customers Oracle puts in front of analysts like myself is very very high. At the top of the list I would say. And they're big spending customers. And as we said many times when it comes to mission critical workloads, Oracle is the king. And one of the executives behind the success is a longtime Cube alum, Juan Loaiza who's executive vice president of mission critical technologies at Oracle. And we've invited him back on today to talk about some news and Oracle's latest developments and database, Juan welcome back to the show and thanks for coming on today and talking about today's announcement. >> I'm very happy to be here today with you. >> Okay, so what are you announcing and how does this help organizations particularly with those existing Exadata cloud at customer installations? >> Yeah, the big thing we're announcing is our very successful cloud at customer platform. We're extending the capabilities of our autonomous database running on it. And specifically we're allowing much smaller configurations so customers can start small and grow with our autonomous database on our cloud customer platform. >> So let's get into granularity a little bit and double click on this. Can you go over how customers, carve up VM clusters for different workloads? What's the tangible benefit to them? >> Yeah, so it's pretty straightforward. We deploy our Cloud@Customer system anywhere the customer wants it, let's say in their data center. And then through our cloud APIs and GUIs they can carve up into pieces into basically VMs. They can say, Hey, I want a VM with eight CPUs to do this, I want a VM with 20 CPUs to that, I want a 500 CPUVM to do something else. And that's what we call a VM cluster because in Cloud@Customer, it is a highly available environment. So you don't just get one VM, you get a cluster of highly available VMs. So you carve it up. You hand it out to different aspects of a company. You might have development on one, testing on another one, some production sales on one VM, marketing on a different VM. And then you run your databases in there and that's kind of how it works and it's all done completely through our GUI and it's very, very simple 'cause they use it the same cloud APIs and GUIs that we use in the public cloud. It is the same APIs and GUIs that we use in the public cloud. >> Yeah, I was going to say sounds like cloud. So what about prerequisites? What do customers have to do to take advantage of the new capabilities? Can they run it on an Exadata cloud a customer that they installed a couple years ago? Do they have to upgrade the hardware? What migration pain is involved? >> Yeah, there's no pain, so it's just, (coughs) excuse me. I can take their existing system, they get our free software update and they can just deploy autonomous database as a VM in their existing Exadata cloud system. >> Oh nice okay what's the bottom line dollars? Our audience are always interested in cutting costs. It's one of the reasons they're moving to the cloud for example. So how does autonomous database on VM clusters, on Exadata Cloud at Customer? How does it help cut their cost? >> Well, it's pretty straightforward. So previous to this a customer would have to have dedicated a system to either autonomous database or to non autonomous data. So you have to choose one together. So on a system by system basis, you chose I want this thing autonomous, or I don't want it autonomous. Now you carve in the VMs and say for this VM I want that autonomous for that VM I want to run a regular database managed database on there. So lets customers now start small with any size they want. They could start with two CPUs and run an autonomous database and that's all they pay for is the two CPUs that they use. >> Let's talk a little about traction. I mean, I remember we covered the original Exadata announcement quite a long time ago and it's obviously evolved and taken many forms. Look, it's hard to argue that it hasn't been a big success. It has for Oracle and your target customers. Does this announcement make Exadata cloud a customer more attractive for smaller companies. In other words, does it expand the team for ADB? And if so, how? >> Yeah, absolutely. I mean our Exadata cloud platform is extremely successful. We have thousands of deployments, we have on our data platform we have about almost 90% of the global fortune 100 and thousands of smaller customers. In the cloud we have now up to 40% of the global 100 a hundred biggest companies in the world running on that. So it's been extremely successful platform and cloud a customer is super key. A lot of customers can't move their data to the public cloud. So we bring the public cloud to them with our cloud customer offering. And so that's the big customer is the fortune hundred but we have thousands of smaller customers also. And the nice thing about this offering is we can start with literally two CPUs. So we can be a very small customer and still run our autonomous data based on our cloud customer platform. >> Well, everybody cares about security and governance. I mean, especially the big guys, but the little guys that in many ways as well they want the capabilities of the large companies but they can't necessarily afford it. So I want to talk about security in particular governance and it's especially important for mission-critical apps. So how does this all change the security in governance paradigm? What do customers need to know there? >> Yeah, so the beauty of autonomous database which is the thing that we're talking about today is Oracle deals with all the security. So the OS, the hardware, firmware, VMs, the database itself all the interfaces to the VM, to the database all that is it's all done by Oracle. So, which is incredibly important because there's a constant stream of security alerts that are coming out and it's very difficult for customers to keep up with this stuff. I mean, it's hard for us and we have thousands of engineers. And so we take that whole burden away from customers. And you just don't have to think about it, we deal with it. So once you deploy an autonomous database it is always secure because anytime a security alert comes out, we will apply that and we do it in an online fashion also. So it's really, particularly for smaller customers it's even harder because to keep up with all the security that you you need a giant team of security experts and even the biggest customers struggle with that and a small customer's going to really struggle. There's just two, you have to look at the entire stack, all the different components switches, firmware, OS, VMs, database, everything. It's just very difficult to keep up. So we do it all and for small cut, they just can't do it. So really they really need to partner with a company like Oracle that has thousands of engineers that can keep up with this stuff. >> It's true what you say, even large customers this CSOs will tell you that lack of talent, lack of skill sets. They just don't have enough people and so even the big guys can't keep up. Okay, I want you to pitch me as though I'm a developer, which I'm not, but we got a lot of developers in our community. We'll be Cube con next month in Valencia, sell me on why a developer should lean into ADB on Exadata cloud as a customer? >> Yeah, it's very straightforward. So Oracle has the most advanced database in the industry and that's widely recognized by database analysts and experts in the field. Traditionally, it's been hard for a developer to use it because it's been hard to manage. It's been hard to set up, install, configure, patch, back up all that kind of stuff. Autonomous database does it all for you. So as a developer, you can just go into our console, click on creating a database. We ask you four questions, how big, how many CPUs how much storage and say, give your password. And within minutes you have a database. And at that point you can go crazy and just develop. And you don't have to worry about managing the database, patching the database, maintaining the security and the database backing up to all that stuff. You can instantly scale it. You can say, Hey, I want to grow it, you just click a button, take, grow it to much any size you want and you get all the mission critical capabilities. So it works for tiny databases but it is a stock exchange quality in terms of performance, availability, security it's a rock solid database that's super trivial. So what used to be a very complex thing is now completely trivial for a developer. So they get the best of both worlds, they get everything on the database side and it it's trivial for them to use. >> Wow, if you're doing all that stuff for 'em are they going to do on their weekends? Code? (chuckles) >> They should be developing their application and add value to their company that's kind of what they should focus on. And they can be looking at all sorts of new technologies like JSON and the database machine learning in the database graph in the database. So you can build very sophisticated applications because you don't have to worry about the database anymore. >> All right, let's talk about the competition. So it's always a topic I like to bring up with you. From a competitive perspective how is this latest and instantiation of Exadata cloud a customer X9M how's this different from running an AWS database service for instance on outpost, or let's say I want to run SQL server on Azure Stack or whatever Microsoft's calling it these days. Give us the competitive angle here. >> Yeah, there kind of is no real competition. So both Amazon and Microsoft have an at customer solution but they're very primitive. I mean, just to give you an example like Amazon doesn't run any of their premier database offerings at customers. So whether it's Aurora Redshift, doesn't run just plane does not run. It's not that it runs badly or it's got limited, just does not run. They can't run Oracle RDS on premise and same thing with Microsoft. They can't run Azure SQL, which is their premier database on their act customer platform. So that kind of tells you how limited that platform is when even their own premier offerings doesn't run on it. In contrast, we're running Exadata with our premier autonomous database. So it's our premier platform that's in use today by most of the biggest, banks, telecom to retailers et cetera in the world, thousands of smaller customers. So it's super mission critical, super proven with our premier cloud database, which is autonomous theory. So it couldn't be more black and white, this is a case where it's there really is no competition in the cloud of customer space on the database side. >> Okay, but let me follow up on that, Juan, if I may, so, okay. So it took you guys a while to get to the cloud, it's taken them a while to figure it on-prem. I mean, aren't they going to eventually sort of get there? What gives you confidence that you'll be able to to keep ahead? >> Well, there's two things, right? One is we've been doing this for a long time. I mean, that's what Oracle initially started as an on-prem and our Exadata platform has been available for over a decade. And we have a ton of experience on this. We run the biggest banks in the world already, it's not some hope for the future. This is what runs today. And our focus has always been a combination of cloud and on-prem their heart's not really in the on-prem stuff they really like. Amazon's really a public cloud only vendor and you can see from the result, it's not you can say, they can say whatever they want but you can see the results. Their outpost platform has been available for several years now and it still doesn't even run their own products. So you can kind of see how hard they're trying and how much they really care about this market. >> All right, boil it down if you just had a few things that you'd tell someone about why they should run ADB on Exadata cloud at customer, what would you say? >> It's pretty simple, which is it's the world's most sophisticated database made completely simple, that's it? So you get a stock exchange level database, you can start really small and grow and it's completely trivial to run because Oracle is automated everything within our autonomous data we use machine learning and a lot of automation to automate everything around the database. So it's kind of the best of both worlds. The best possible database starts as small as you want and is the simplest database in the world. >> So I probably should have asked you this while I was pushing the competitive question but this may be my last question, I promise. It's the age old debate It rages on, you got specialized databases kind of a right tool for the right job approach. That's clearly where Amazon is headed or what Oracle refers to is converge database. Oracle says its approach is more complete and "simpler." Take us through your thinking on this and the latest positioning so the audience can understand it a bit better. >> Yeah, so apps aren't what they used to business apps, data driven apps aren't what they used to be. They used to be kind of green screens where you just entered data. Now everyone's a very sophisticated app, they want to be have location, they want to have maps, they want to have graph in there. They want to have machine learning, they want machine learning built into the app. So they want JSON they want text, they want text search. So all these capabilities are what a modern app has to support. And so what Oracle's done is we provided a single solution that provides everything you need to build a modern app and it's all integrated together. It's all transactional. You have analytics built into the same thing. You have reporting built into the same thing. So it has everything you need to build a modern app. In contrast, what most of our competitors do is they give you these little solutions, say, okay here you do machine learning over here, you do analytics over there, you do JSON over here, you do spatial over here you do graph over there. And then it's left a developer to put an app together from all these pieces. So it's like getting the pieces of a card and having to assemble it yourself and then maintain it for the rest of your life, which is the even harder part. So one part upgrades, you got to test that. So of other piece upgrade or changes, you got to test that, you got to deal with all the security problems of all these different systems. You have to convert the data, you have to move the data back and forth it's extraordinarily complicated. Our converge database, the data sits in one place and all the algorithms come to the data. It's very simple, it is dramatically simpler. And then autonomous database is what makes managing it trivial. You don't really have to manage anything more because Oracle's automated the whole thing. >> So, Juan, we got a pretty good Cadence going here. I mean I really appreciate you coming on and giving us these little video exclusives. You can tell by again, that Cadence how frequently you guys are making new announcements. So that's great, congrats on yet another announcement. Thanks for coming back in the program appreciate it. >> Yeah, of course we invest heavily in data management. That's our core and we will continue to do that. I mean, we're investing billions of dollars a year and we intend to stay the leaders in this market. >> Great stuff and thank you for watching the Cube, your leader in enterprise tech coverage, this is Dave Vellante we'll see you next time.

>>From London, England. It's the cube covering Koopa inspire 19 brought to you by Cooper. >>Hey, welcome to the cube. At least the Martin on the ground in London, a Coupa inspire 19 and I'm really excited to be joined by my last guest of the day. Save the best for last. We have Roger Hamoud, the EVP of products from Kupo Russia. Welcome back to the program. Thank you for having me. Thanks for coming here. Of course, it's been great. We've had a, we've had a great day. Lots of buzz and excitement in the expo hall. The lights are jammed. It's happy hours. Happy hour for time for the Q during happy hour. So I know your keynote is tomorrow, so we'll get to that since we won't cover that. But talk to me about some of the new product innovations that Cuba announced today. The last time we spoke at inspire Las Vegas was only a few months ago. So what's new? Wow. A lot is new. It's, it's hard to believe. >>It's only been three months since then. It's been so close. Um, we very much continue our, um, focus on our community. Powered, uh, capabilities. Uh, this has been an incredible focus for us. Uh, so most recently we've added to all of the announcements we talked about at, uh, Vegas, uh, the, um, next waves of source together the opportunity to bring our community to come and source, uh, using their collective spent power and lots of new enhancements in that area. And also we're taking our supplier insights to the next level. One of the exciting capabilities our customers loved is that being part of a community member, I can come in and I can look at insights across all of my suppliers, uh, from the entire community. What we have, we've been working with them on is constantly adding more and more information to that. So now we have diversity data. >>So you can come in and you can search for suppliers that meet your women. Exactly. Exactly. Those are increasingly becoming more and more important. And then we can help companies source with the right suppliers much more easily right off the bat. Um, other areas that we've announced today was a coupon pay for expenses in early access program. Uh, we also announced invoice thing. Um, going on GA, when we talked in Vegas, it was still in the early access program, uh, capabilities and opening up our platform, Coupa as a platform. >> Uh, tell me about that, cause I wasn't quite clear when Rob was talking about it this morning. I thought I wanna dig in that with you. Kupa as a platform. What is that? What does it look like? So what's exciting about this is, so from our inception as a company, we were always had this old in Cooper about being open as an ally for the entire ecosystem that our customers might have. >>Our vision has always been, we want to be the, ultimately the business screen for everything business spend management related for our customers. So over years we kept taking the level of openness with our partners through different, um, different levels. If you say, if you will, for example, we started with just integrations in the beginning and we certify these integrations with coupon link. Um, we've taken it most recently where we allow partners to embed their mini apps within Cooper. So, for example, um, you can see in one of our partners EcoVadis now they have the capability to embed their supplier diversity data sustainability data right on the supplier record. Okay. And what's beautiful about this is that our customers, when they look at it, it looks a one beautiful unified experience and bringing all the data in context for what they want. Um, today, this morning, uh, Rob shared one example from Amadeus for, uh, trip integrations. >>So right on the homepage, I can see right within Cooper, I can see all their bookings that I've done with the travel provider, Mike pre-approvals, expense reports, all within one unified experience. But ultimately where we want to take coop as a platform is to become this app directory that, uh, third party partners and platform developers start building applications to extend Copa to bring more choice and value to our customers. Okay. Wow. Is that one of the things I saw Rob shared this morning was integration with Slack. Yes. So business folks can review, approve, or reject, like expenses for example, right from within Slack without even having to go into the platform. Yes, yes. That you hit on a very important concept, which we call the best UI is no UI in many ways. And the idea there is um, we always put ourselves in the user's shoes and ask ourselves how do we get them what they need with the least friction? >>In some cases that might involve a user experience because you need to ask them questions and make cases. We can automate the whole thing. So we just do it. And in many cases it means we go to them to where they are such as in Slack, I'm going to ask you to leave Slack, go somewhere else right then and there you should be able to approve or reject why you have to go anywhere else. Is that what, what Cuba means by no UI is the best UI, correct. Best UI is no UI. So ultimately wherever there is effort, we, we want to involve people only when they need to add value. That's it. And as much as we're able to automate, that's great. So we take that off of their table and we also adjust to the type of experience they need. Sometimes just a text message is enough sometimes to bring the data to me into a collaboration applications that I want. >>Um, sometimes we, we help them approve right from, um, a button. You don't even go into Kupa in order to do that. So always thinking of how we drive adoption, drive adoption. And it's an important concept, not just on the employee side of companies, it's even more so on the supplier side as well. Now when you think of any or like large organizations, they have tens of thousands of thousands of suppliers, many have hundreds of thousand suppliers. And the supplier ecosystem is everything from very small contractor, mom and pop shop, maybe two people or even one person all the way to very, very large companies. Okay. So as you look at that whole spectrum, you have to really think what does every audience need? And so in many cases, these people, um, they may need to do everything very quickly straight from an email without having to remember a user ID and a password to log into something. >>So eliminates friction at every step of the process for them. Wow. So let's talk about that Vic community insights. As we look at some of the, uh, the data that KUKA has gotten from finance leaders of the UK, that was like a survey that you guys, yes, I did recently have 253 decision makers and finance and some of the numbers were glaring. Like, wow, 96% of these decision makers said we don't have complete visibility correct. Of all of our spent. And then I was talking to a customer today who said, we've got now gotten 95% of all of our business men going through Coupa and that was within less than a year. Yes. So the opportunity there to deliver that visibility and those insights back to the community is, is pumped, is incredibly exciting. It's incredibly exciting. We're starting to see more and more the sentiment that's in key, loud and clear and um, by working constantly on the AE, the accelerated and coupon, we work on getting more and more of the spend for each and every customer under management. >>Um, we, when we start to projects for customers right off the bat, uh, we use our AI classification tools before they even start with Copa, where we start helping them get visibility onto all of their existing spent so that as they start into their Coupa journey, they are always looking at it holistically. Okay. So we know them, realize all of that data and provide them insights and reports right off the bat as well. Tell me about the customer interactions that you have as the EVP of product, lot of customers on the platform, a lot of data there. How are customers influential? Yes, yes. The direction. Like for example, you know, obviously I won't give a secret sauce, but for Cooper inspire 20, 20, what are some of the things that we might see customers influencing in terms of your roadmap that direction? Partnerships? Yes. Yes. >>Um, in general, the way, um, we've always worked, uh, at Coupa with our customers and we call them like our community members really is an inc very incredibly tight partnership. Um, we have three releases a year, January, may and September. Each of them packed with roughly about anywhere 72, 19 new features and capabilities. And all of these capabilities are touched either conceived by customers, with customers or touched by customers in the form of working with them on early access validation and all of that. And for me, one of my most favorite things I get to enjoy about working in SAS and, and uh, being at Cooper is that as soon as you are rolling out these capabilities and turning them on in the cloud, customers are using them. So even though like for example right now my entire team has just finished the walkthroughs of all our may release for inspire. >>And when we come back from this trip, uh, we will start the, you know, the, these, the design and, and um, definition. Um, often we might hear of new requirements that might come up and because we are InsightSquared able to, um, here at just what it makes sense and actually be incredibly responsive to what we see. >> How do you do that? How do you look through all the different responses and correlate that data and determine what makes sense to stack? Rank in terms of priorities for new features and new capabilities. So it's definitely an art and a science for sure. Um, but there's a framework that, uh, we follow, uh, since the beginning and we continue to follow and continues to serve us really well. Uh, which is always balancing between three drivers of customers, market and innovation. So the customer one is the obvious one of course, where and many events like this and one on ones and online community. >>We're talking to customers and they're specifically coming and asking for help in areas. Now, we may not build the feature exactly as they asked, but we listened to the pain beneath it and late using the latest technologies, we think of what is the best approach to solve the real pain that they have. So that's one part of the planning for every release cycle. The other is overall market. So for example, as we grow into more regions, uh, newer areas, new spend categories, um, new adjacent powered applications that our customers are needing, um, we started expanding in that area as well. Um, for example, we, right now in London, um, a lot of, uh, when I joined Cooper back in 2012, uh, we were just starting the, uh, entry into the, uh, Mel market and a lot of the product capabilities were market driven in the sense that we were spending a lot of time on compliance and different regulations and all of that. >>And the third is innovation. And what is always one of the things as we bring people on board at Cooper and talk about the framework, um, innovation for us is what we call pragmatic innovation. And it's comes from deep understanding what are the customer problems, what are the market problems? And then we ask ourselves using everything, the latest technologies, what is the best way? So you'll never hear us talk about AI for AI sake and blockchain and all of that would always talking about do we deeply understand the problem and what is the most appropriate? Um, so we call them CMI customer innovation. Uh, within my products organization, every product managers usually has a vision for their product and they have a full release roadmap. And in each full release roadmap, they are listing things as C M I in many cases the same capability is C and M and I, so it becomes an art and a science of balancing those types of things. >>But ultimately when we look at our collective release of CMI, we're asking ourselves, how much does this release accelerate the success goals of our customers? Right. And generally that's the framework that we use. Yeah, that's fantastic. Thank you for explaining that. In terms of acceleration, some of the numbers that Rob shared this morning, we're, I think your customers are collectively approving invoices 30% faster than last year. I said medium, mid size market, customers are getting lot going live on Kupa in about four months. Correct. And mid large enterprises and about eight months. So. Right. And I've talked to a number of customers today about the speed of which they're able to get onto the platform and actually start seeing business value. So that's a free coupon for acceleration was well dissected today. Yes. Yes. It's definitely, yeah. Um, these are the vision areas that Rob talked about today. >>And in each of these vision areas, we're always asking ourselves, how do we continue to accelerate? So that's actually how one of the ideas was born around the turtle is I'm the hair, which is we want to accelerate cycle times, cycle times, and what are the different ways we can do this? What can we borrow from um, the, uh, our consumer lives to do this? And that's where the game unification came. Yes. And sure enough, it was one of those things that got people super excited and, and they're putting more attention into it. Well, the consumer side of our lives is we're so demanding because we can get anything that we want. We can buy products and services, we can pay bills with a clicker swipe. And so the B to C side from a payments perspective has innovated far more rapidly than the B2B side has. >>Correct. A lot more challenged there on the B2B side. But as consumers, we want a simple experience. One of the customers I spoke to who said when he was looking for technology, he's on what something that looks like Amazon marketplace. Yeah. Because from an adoption perspective, my teams will understand it. You so that the consumerization always interests me because we are those pretty much, you know, 12 plus hours a day and to see how software companies like KUKA are taking and meeting the needs of those customers, obviously it's not an overnight process. It gets people excited. It gets its absolutely is you right. That always fascinated me also how I've seen so many companies, um, like people almost have two personalities. Like they go into their personal life, they have a personality, they go into their professional lives and like, Oh, it's okay. It's like a backend system. >>This and this and this. Um, but increasingly the new generation is no longer tolerating and the drive is starting to just go find those shifts that happen changing, right? Yes, yes. But I can't, if I can have this in my personal life, then I need to be able to transact. Exactly. Exactly. Why does it take 45 days? Exactly. Exactly. Five days. Um, so last question for you. Since your keynote is tomorrow. Yes. What are some of the strategic visionary elements that you're going to leave the audience with? So I'm going to leave the audience with the key pillars of our strategy. Um, latest innovations we've done towards them and where we are taking them in the years ahead. One of the things I've always done over the years at inspire is we always share at preview of what, um, the community has been talking to us about and we're working with. >>And usually at the end of it, a lot of new community members might come in and ask to participate in some of the development because it means a lot to them for their own business. And then usually by the following inspire, we start showing these things actually live and, and, um, executed on. So the, um, the three strategic pillars I'll be sharing and talking about are all around the pipe that Trump talked about. Yep. How do I capture more and more spend under management? So we'll be talking about the consumerizing experiences voice using voice use Copa using facial recognition in Cooper. Uh, we'll be talking about new concepts around travel, around the group card school, applying all of it around the theme, focused on the um, end users and delight them, blow them away with consumer experiences. And then now that we do all of that, we can jump into the power users because we are increasing that spend under management. >>The theme by far is all around suite synergy suite synergy. So we seriously, this doesn't exist in the market. The market overall was all siloed applications. We're creating a new category and we've created these beautiful, elegant flows for our customers today. But there's also a wonderful long journey ahead in what we are taking up. Well maybe we'll get to talk about synergy at inspire 20 slowly. I will, we would love to have you again. Excellent. We're going to in Vegas for the afternoon. Best of luck in your keynote tomorrow and we'll see you the next inspire. Thank you. My pleasure. Thanks for Raja Hamoud. I, I'm Lisa Martin. You're watching the cube from Coupa inspire 19 from London. Bye for now.

(upbeat pop music) >> Announcer: Live from San Jose, California. In the heart of Silicon Valley. It's theCUBE, covering QuickBooks Connect 2016! Sponsored by Intuit QuickBooks. (upbeat pop music) Now, here are your hosts, Jeff Frick and John Walls. >> Welcome back here on theCUBE. Along with Jeff Frick, I'm John Walls. As we continue our coverage here at QuickBooks Connect 2016. Gathering here in San Jose at the Convention Center. Third annual gathering with a record crowd of more than 5,000 attendees. (crowd noise) So the show continues to show explosive growth. Which is, I guess you can say a lot about what Intuit's doing, in terms of how it's growing its portfolio, in terms of how it serves the business ... The small business and the medium-size business communities. With us now is Sasan Goodarzi, who is the EVP of the small business group at Intuit. Sasan, good to have you with us-- >> Thank you. >> We appreciate the time. >> Thank you for having me. >> What are the keynote stars today? You were talking about some key things, big things about the company about how we're going to help save time. How we're going to have more accessibility to money. And ultimately what we could do to deliver a better proposition to small business. So talk about that, if you would, a little about that theme on the keynote stage, and how that applies to what you're doing in general with QuickBooks. >> Sure, sure. Well one of the things that our customers have taught us is, that there are three things that are important to them. One is time, so they can actually spend running their business and the product that they're passionate about; versus all the tedious, drudgery things that it takes to run your business. The second is money. It's mind boggling the effort that goes into earning money. But how hard is it for them to actually get access to their money. And then last, but not least, is ways to help them grow their business. They're experts in their industry, but where they need help is ways in which that they can drive growth. And so everything that we do is centered around those three things. And it's what inspires us when we show up to work every single day. So a lot of, obviously, what we talked about today on stage, was just very quick, we call ESPN highlight reels of here's the innovation that's coming your way to either save you time, put more money into your pocket, or help you grow your business, or your practice. >> Sure, okay. >> What's amazing is as I say, as much as they've worked to finally get that sale, a lot of times it seems all the collection side-- >> That's right. >> For small business. A huge issue, getting paid. To do all that work, sell it, have a happy customer and then, don't necessarily get their receivables in line. >> That's right. I know we threw a lot of stats out there this morning. But first of all, 80% of small businesses have some sort of a cash flow issue. And in that context about 65% of them have invoices that are 60 days overdue. And in fact, they live and die by getting paid on time. And so, obviously, the innovations that we talked about on stage today, were how do you get access to those funds right away. >> Jeff: Right, right. >> That's one element of it. The other element is we have all the data of small businesses. And so we know what they're good for. And so we can deliver loans to them on the spot. If they have payables and they want to borrow on the payable to make payroll for the week, or they want to go buy more inventory to grow their business, we can actually fund them very quickly. Literally within minutes. And so those are examples of what we showed on stage today all in service of helping them thrive and achieve their dreams. >> I love to ding into that a little bit, because growth actually exacerbates your cash flow problem if you're not managing it well. And now suddenly you're selling more and you got to buy to fulfill those obligations. But the fact that you almost have a secondary market now for people to be able to borrow money without pulling all their paper together, and trekking down to the bank and hoping they can get it, because you actually have the real data. It's updated (chuckles)-- >> That's right. >> All the time. And it's a different set of data ... Potentially more complete set of data for a lender to actually make that decision, than the stack of paper that they bring down-- >> That's right. >> to the local bank. >> That's right. Well, you know it's interesting. You just said something that triggered a thought. When you think about startups that go out and get VC money ... There's a reason why they have board of directors, 'cause the board of directors what they're looking for is one, do you have a growth plan, but then how do you manage that growth? How do you make sure you have enough money? How much money are you burning per week? And are you going to be able to maintain that growth? Small businesses don't have that. They don't have the board of directors that are actually helping them with some of those decisions. They may not be surrounded by a CFO or a finance expert in the office. And so part of what we're trying to do is just digitize and automate everything so they don't have to worry about that. And secondarily I think to the point you made, helping them with access to money at the point in which they need it. But I think even before we get to that stage, what we're trying to do is help them by being that board of directors without having to have one. Which is to helping them manage their cash flow, their inventory. Because as they're on that growth curve ... One of the main reasons why they go out of business is 'cause they're growing fast, but they're not managing their funds, and they do not have enough money sometimes to make payroll. >> Right. Well we've heard the stat from a couple of different sources but 50% of all small businesses fail in the first five years-- >> That's right. >> of operation. And the use of accounting and accountant, what that could do to increase your odds of being in business for the long term. So certainly you could see where all that is coming in play. You mentioned payments, so we're thinking about Apply Pay. That was one of the announcements-- >> Yes. >> You had. Google Calendar, talking about time. >> Sasan: Yes. >> And then AMEX with the loans. So the power of these partnerships, I'd like to hear from you on that, because, you know, big names, right (chuckles) >> Sasan: Yes, yes. >> That I ... If Jeff or I or anybody watching ran a little mom and pop operation in Morgantown, WV, I've got Apple, and I've got Google, and I've got Intuit on my side. Talk about leveraging that power for small businesses? >> Yes, actually listening to you inspires me around what Intuit is doing for these small businesses. And it starts with our vision of having an open platform. It's less about what we innovate on that platform, but our goal is to bring all of the innovation; whether it's our engineers or engineers outside of our four walls. Bring all of that innovation on our platform, so that in fact we can digitize and automate everything with Google Calendar. So we can go in and we know all of where you spent your time, and help you easily, with one click, invoice your customers. Or, as an example you used, be able to use Apple Pay Touch where you can immediately get paid. But that's because our goal is to have an open platform where we bring all the innovation of the best companies out there to you. So that you can run your business on any device, and you don't have to worry about which application it is, but that we do it all for you. >> I just love the Google Calendar example, because so many great innovations today are basically reassembling stuff that's already out there; leveraging APIs and presenting it in a different way. And so the fact that you're taking advantage of Google Calendar, which so so many people ... You probably know the numbers use ... And then have that drive your billing, have that drive your time management, and then just take advantage of the data that's there, or as Scott said, "Take advantage of the data that's in your phone." >> Sasan: That's right. >> It knows exactly how far you went on that drive to the client. It knows when you left and when you arrived-- >> That's right. >> and when you got home. So the leverage of Cloud platform with APIs, to pull that data in and drive in a seamless integration, it makes (chuckles) it makes too much sense, right? (Sasan laughs) It does, and when you think about someone like Google, where there's a billion people that use Gmail ... >> A billion. >> And most of them are using ... There's a billion people that have Gmail accounts. >> Jeff: Wow. >> And over 60% of our customers use Google Calendar to run their business. And so, it's only intuitive to figure out a way well, how do we automate all of that-- >> Jeff: Right. >> so that the customer doesn't have to use cookbooks for taxes and accounting, then go to Google Calendar to see where they spent their time so they can figure out how to invoice? >> And they type it in, right. >> Just integrate it all together so it's all in one place, yeah. >> How do you all keep focused when your market, your potential market's so big? You've got, I don't know ... I've read, was it 800 million possible businesses, right? Small businesses. >> Sasan: That's right. >> So how do you ... If you look at what would be reasonable growth trajectory and expansion, your plans ... How do you keep your eyes on the target, and how do you determine that target? >> Yeah, that's a great question. Let me start with where you just ended, which is there are 800 million self-employed and small businesses worldwide. And 97 to 8% of 'em actually are not using the Cloud to run their business, or their time. And the way we prioritize is think about the countries that are the biggest opportunity to create virility by those that are using the platform. And so we've prioritized which countries that we're going after, and really doubling down in those countries. And that's where we really are able to focus our efforts in time. 'Cause once we create this, what we call the network effect, the more small businesses and self-employed we get to use the platform, the more we get accountants to be able to see the power of the platform. The more they tell their friends. The more accountants are recommending it, you in essence create this flywheel effect of more and more going to the Cloud. And once we get that flywheel effect going, we'll think about what's that next country that we want to go into. We're not that serial about it, but our biggest focus comes from being clear which countries we're going to play in today, and which countries, for now, we're going to wait 'til we get this network effect going. >> And now you've got this whole new way to work. People that are giving up part of their house or apartment for Airbnb rentals. Or people that are driving in Uber for four hours a couple of days a week. Again, those are all based on systems that are driving that engagement. Do you see that it's just a whole new opportunity, do you see a lot of growth in ... I always forget the technical term for-- >> Sasan: The digamy ... The giga-- >> The gig. >> Sasan: The gig economy. >> The gig economy. >> That's right-- >> Which is a whole new and swelling thing. >> It is. >> And for a lot of those people, they are even less sophisticated on keeping track of their tax withdrawals than the small mom and pop store (chuckles)-- >> Sasan: That's right. >> that's at least been paying their social security for a number of years. >> Sasan: That's right. >> So another huge opportunity for you. >> It absolute is. One of the myths is most self-employed are actually not part of the gig economy. There's the photographer that you may call on to come take pictures of your family, or the landscaper that's a one-person shop. That's 90% of self-employment. About less than 10% is the Airbnbs, the Lyft, and the Ubers of the world. But that number's only going to grow over time. In fact, our view is in this day and age people will work at a company for three to four years at a time. We believe in ten years, people will work for three to four companies in a day. 'Cause they're workers, and they're outsourcing their time to different companies. >> Jeff: Three or four companies-- >> A day. >> Jeff: A day? >> A day. Because in essence, they're self-employed. Now I may work for you and do a job. I may work for you and do a job. That's actually starting to happen today. Except it's a small part of the economy. We believe ten years from now it'll be a huge part of the economy. And that creates a huge opportunity for us, 'cause they're all self-employed. >> Right. >> Before you head out, again, one of the big trend topics, artificial intelligence, machine learning. How do those come into play in your vision for the company's vision, and the products and services that you think you could develop that can be put to use? >> Yeah, in fact we think there are two core competencies that we must have. One is an open platform where we integrate all applications into the platform, whether it's ours or somebody else's. The second is being amazing at leveraging the data, whether it's data from a PayPal app, a Square app our own app. And leveraging artificial intelligence and machine learning, so we can do the work for our customers. So we believe when it comes to data and artificial intelligence, that is actually one of two or three primary core competencies that we are building as a company. And it's something we're not new at. We've been doing this for years. In fact, last year in TurboTax we've reduced the amount of time it took to do your taxes by 40%, by using machine learning. And we're now applying that within QuickBooks. >> I'd like you to reduce my tax liability by about 40%. (Jeff laughs) If we can (chuckles) take care of that and I'm yours. >> Or at least-- >> Well, listen-- >> Or at least get you to the July deadline. (John laughs) >> If you just make less income-- (Jeff laughing) >> That's right. >> I'm sure that's doable. (Sasan laughs) >> If you don't make it, you don't pay it. >> Sasan: That's right (chuckles). >> You mentioned ESPN earlier about the stage and all that. You made top plays today, no doubt about it with the keynotes address. >> Sasan: Oh, thank you-- >> Job very well done. >> Thank you very much. >> Jeff: Cute Kim's (mumbles) coming. >> Sasan: Thank you. >> And thank you (Jeff laughs) for joining us here on theCUBE. We appreciate the time-- >> Thank you, thank you for having me. >> John: You bet. Back with more-- >> Alright, thanks. QuickBooks Connect 2016 here in San Jose. You're watching theCUBE. (upbeat pop music)

>> (Narrator) The CUBE's live coverage is made possible by funding by Dell Technologies. Creating technologies that drive human progress. (upbeat music) >> Welcome back to Fira Barcelona. It's theCUBE live at MWC23 our third day of coverage of this great, huge event continues. Lisa Martin and Dave Nicholson here. We've got Dell and Dish here, we are going to be talking about what they're doing together. Andy Sheahen joins as global director of Telecom Cloud Core and Next Gen Ops at Dell. And Marc Rouanne, one of our alumni is back, EVP and Chief Network Officer at Dish Wireless. Welcome guys. >> Great to be here. >> (Both) Thank you. >> (Lisa) Great to have you. Mark, talk to us about what's going on at Dish wireless. Give us the update. >> Yeah so we've built a network from scratch in the US, that covered the US, we use a cloud base Cloud native, so from the bottom of the tower all the way to the internet uses cloud distributed cloud, emits it, so there are a lot of things about that. But it's unique, and now it's working, so we're starting to play with it and that's pretty cool. >> What's some of the proof points, proof in the pudding? >> Well, for us, first of all it was to do basic voice and data on a smartphone and for me the success would that you won't see the difference for a smartphone. That's base line. the next step is bringing this to the enterprise for their use case. So we've covered- now we have services for smartphones. We use our brand, Boost brand, and we are distributing that across the US. But as I said, the real good stuff is when you start to making you know the machines and all the data and the applications for the enterprise. >> Andy, how is Dell a facilitator of what Marc just described and the use cases and what their able to deliver? >> We're providing a number of the servers that are being used out in their radio access network. The virtual DU servers, we're also providing some bare metal orchestration capabilities to help automate the process of deploying all these hundreds and thousands of nodes out in the field. Both of these, the servers and the bare metal orchestra product are things that we developed in concert with Dish, working together to understand the way, the best way to automate, based on the tooling their using in other parts of their network, and we've been with you guys since day one, really. >> (Marc) Absolutely, yeah. >> Making each others solutions better the whole way. >> Marc, why Dell? >> So, the way the networks work is you have a cloud, and you have a distributed edge you need someone who understands the diversity of the edge in order to bring the cloud software to the edge, and Dell is the best there, you know, you can, we can ask them to mix and match accelerators, processors memory, it's very diverse distributed edge. We are building twenty thousands sides so you imagine the size and the complexity and Dell was the right partner for that. >> (Andy) Thank you. >> So you mentioned addressing enterprise leads, which is interesting because there's nothing that would prevent you from going after consumer wireless technically, right but it sounds like you have taken a look at the market and said "we're going to go after this segment of the market." >> (Marc) Yeah. >> At least for now. Are there significant differences between what an enterprise expects from a 5G network than, verses a consumer? >> Yeah. >> (Dave) They have higher expectations, maybe, number one I guess is, if my bill is 150 dollars a month I can have certain levels of expectations whereas a large enterprise the may be making a much more significant investment, are their expectations greater? >> (Marc) Yeah. >> Do you have a higher bar to get over? >> So first, I mean first we use our network for consumers, but for us it's an enterprise. That's the consumer segment, an enterprise. So we expose the network like we would to a car manufacturer, or to a distributor of goods of food and beverage. But what you expect when you are an enterprise, you expect, manage your services. You expect to control the goodness of your services, and for this you need to observe what's happening. Are you delivering the right service? What is the feedback from the enterprise users, and that's what we call the observability. We have a data centric network, so our enterprises are saying "Yeah connecting is enough, but show us how it works, and show us how we can learn from the data, improve, improve, and become more competitive." That's the big difference. >> So what you say Marc, are some of the outcomes you achieved working with Dell? TCO, ROI, CapX, OpX, what are some of the outcomes so far, that you've been able to accomplish? >> Yeah, so obviously we don't share our numbers, but we're very competitive. Both on the CapX and the OpX. And the second thing is that we are much faster in terms of innovation, you know one of the things that Telecorp would not do, was to tap into the IT industry. So we access to the silicon and we have access to the software and at a scale that none of the Telecorp could ever do and for us it's like "wow" and it's a very powerful industry and we've been driving the consist- it's a bit technical but all the silicone, the accelerators, the processors, the GPU, the TPUs and it's like wow. It's really a transformation. >> Andy, is there anything anagallis that you've dealt with in the past to the situation where you have this true core edge, environment where you have to instrument the devices that you provide to give that level of observation or observability, whatever the new word is, that we've invented for that. >> Yeah, yeah. >> I mean has there, is there anything- >> Yeah absolutely. >> Is this unprecedented? >> No, no not at all. I mean Dell's been really working at the edge since before the edge was called the edge right, we've been selling, our hardware and infrastructure out to retail shops, branch office locations, you know just smaller form factors outside of data centers for a very long time and so that's sort of the consistency from what we've been doing for 30 years to now the difference is the volume, the different number of permutations as Marc was saying. The different type of accelerator cards, the different SKUS of different server types, the sheer volume of nodes that you have in a nationwide wireless network. So the volumes are much different, the amount of data is much different, but the process is really the same. It's about having the infrastructure in the right place at the right time and being able to understand if it's working well or if it's not and it's not just about a red light or a green light but healthy and unhealthy conditions and predicting when the red lights going to come on. And we've been doing that for a while it's just a different scale, and a different level of complexity when you're trying to piece together all these different components from different vendors. >> So we talk a lot about ecosystem, and sometimes because of the desire to talk about the outcomes and what the end users, customers, really care about sometimes we will stop at the layer where say a Dell lives, and we'll see that as the sum total of the component when really, when you talk about a server that Dish is using that in and of itself is an ecosystem >> Yep, yeah >> (Dave) or there's an ecosystem behind it you just mentioned it, the kinds of components and the choices that you make when you optimize these devices determine how much value Dish, >> (Andy) Absolutely. >> Can get out of that. How deep are you on that hardware? I'm a knuckle dragging hardware guy. >> Deep, very deep, I mean just the number of permutations that were working through with Dish and other operators as well, different accelerator cards that we talked about, different techniques for timing obviously there's different SKUs with the silicon itself, different chip sets, different chips from different providers, all those things have to come together, and we build the basic foundation and then we also started working with our cloud partners Red Hat, Wind River, all these guys, VM Ware, of course and that's the next layer up, so you've got all the different hardware components, you've got the extraction layer, with your virtualization layer and or ubernetise layer and all of that stuff together has to be managed compatibility matrices that get very deep and very big, very quickly and that's really the foundational challenge we think of open ran is thinking all these different pieces are going to fit together and not just work today but work everyday as everything gets updated much more frequently than in the legacy world. >> So you care about those things, so we don't have to. >> That's right. >> That's the beauty of it. >> Yes. >> Well thank you. (laughter) >> You're welcome. >> I want to understand, you know some of the things that we've been talking about, every company is a data company, regardless of whether it's telco, it's a retailer, if it's my bank, it's my grocery store and they have to be able to use data as quickly as possible to make decisions. One of the things they've been talking here is the monetization of data, the monetization of the network. How do you, how does Dell help, like a Dish be able to achieve the monetization of their data. >> Well as Marc was saying before the enterprise use cases are what we are all kind of betting on for 5G, right? And enterprises expect to have access to data and to telemetry to do whatever use cases they want to execute in their particular industry, so you know, if it's a health care provider, if it's a factory, an agricultural provider that's leveraging this network, they need to get the data from the network, from the devices, they need to correlate it, in order to do things like automatically turn on a watering system at a certain time, right, they need to know the weather around make sure it's not too windy and you're going to waste a lot of water. All that has data, it's going to leverage data from the network, it's going to leverage data from devices, it's going to leverage data from applications and that's data that can be monetized. When you have all that data and it's all correlated there's value, inherit to it and you can even go onto a forward looking state where you can intelligently move workloads around, based on the data. Based on the clarity of the traffic of the network, where is the right place to put it, and even based on current pricing for things like on demand insists from cloud providers. So having all that data correlated allows any enterprise to make an intelligent decision about how to move a workload around a network and get the most efficient placing of that workload. >> Marc, Andy mentions things like data and networks and moving data across the networks. You have on your business card, Chief Network Officer, what potentially either keeps you up at night in terror or gets you very excited about the future of your network? What's out there in the frontier and what are those key obstacles that have to be overcome that you work with? >> Yeah, I think we have the network, we have the baseline, but we don't yet have the consumption that is easy by the enterprise, you know an enterprise likes to say "I have 4K camera, I connect it to my software." Click, click, right? And that's where we need to be so we're talking about it APIs that are so simple that they become a click and we engineers we have a tendency to want to explain but we should not, it should become a click. You know, and the phone revolution with the apps became those clicks, we have to do the same for the enterprise, for video, for surveillance, for analytics, it has to be clicks. >> While balancing flexibility, and agility of course because you know the folks who were fans of CLIs come in light interfaces, who hate gooeys it's because they feel they have the ability to go down to another level, so obviously that's a balancing act. >> But that's our job. >> Yeah. >> Our job is to hide the complexity, but of course there is complexity. It's like in the cloud, an emprise scaler, they manage complex things but it's successful if they hide it. >> (Dave) Yeah. >> It's the same. You know we have to be emprise scaler of connectivity but hide it. >> Yeah. >> So that people connect everything, right? >> Well it's Andy's servers, we're all magicians hiding it all. >> Yeah. >> It really is. >> It's like don't worry about it, just know, >> Let us do it. >> Sit down, we will serve you the meal. Don't worry how it's cooked. >> That's right, the enterprises want the outcome. >> (Dave) Yeah. >> They don't want to deal with that bottom layer. But it is tremendously complex and we want to take that on and make it better for the industry. >> That's critical. Marc I'd love to go back to you and just I know that you've been in telco for such a long time and here we are day three of MWC the name changed this year, from Mobile World Congress, reflecting mobilism isn't the only thing, obviously it was the catalyst, but what some of the things that you've heard at the event, maybe seen at the event that give you the confidence that the right players are here to help move Dish wireless forward, for example. >> You know this is the first, I've been here for decades it's the first time, and I'm a Chief Network Officer, first time we don't talk about the network. >> (Andy) Yeah. >> Isn't that surprising? People don't tell me about speed, or latency, they talk about consumption. Apps, you know videos surveillance, or analytics or it's, so I love that, because now we're starting to talk about how we can consume and monetize but that's the first time. We use to talk about gigabytes and this and that, none of that not once. >> What does that signify to you, in terms of the evolution? >> Well you know, we've seen that the demand for the healthcare, for the smart cities, has been here for a decade, proof of concepts for a decade but the consumption has been behind and for me this is the oldest team is waking up to we are going to make it easy, so that the consumption can take off. The demand is there, we have to serve it. And the fact that people are starting to say we hide the complexity that's our problem, but don't even mention it, I love it. >> Yep. Drop the mic. >> (Andy and Marc) Yeah, yeah. >> Andy last question for you, some of the things we know Dell has a big and verging presents in telco, we've had a chance to see the booth, see the cool things you guys are featuring there, Dave did a great tour of it, talk about some of the things you've heard and maybe even from customers at this event that demonstrate to you that Dell is going in the right direction with it's telco strategy. >> Yeah, I mean personally for me this has been an unbelievable event for Dell we've had tons and tons of customer meetings of course and the feedback we're getting is that the things we're bring to market whether it's infrablocks, or purposeful servers that are designed for the telecom network are what our customers need and have always wanted. We get a lot of wows, right? >> (Lisa) That's nice. >> "Wow we didn't know Dell was doing this, we had no idea." And the other part of it is that not everybody was sure that we were going to move as fast as we have so the speed in which we've been able to bring some of these things to market and part of that was working with Dish, you know a pioneer, to make sure we were building the right things and I think a lot of the customers that we talked to really appreciate the fact that we're doing it with the industry, >> (Lisa) Yeah. >> You know, not at the industry and that comes across in the way they are responding and what their talking to us about now. >> And that came across in the interview that you just did. Thank you both for joining Dave and me. >> Thank you >> Talking about what Dell and Dish are doing together the proof is in the pudding, and you did a great job at explaining that, thanks guys, we appreciate it. >> Thank you. >> All right, our pleasure. For our guest and for Dave Nicholson, I'm Lisa Martin, you're watching theCUBE live from MWC 23 day three. We will be back with our next guest, so don't go anywhere. (upbeat music)

(soft music) >> Welcome back to Sin City, guys and girls we're glad you're with us. You've been watching theCUBE all week, we know that. This is theCUBE's live coverage of AWS re:Invent 22, from the Venetian Expo Center where there are tens of thousands of people, and this event if you know it, covers the entire strip. There are over 55,000 people here, hundreds of thousands online. Dave, this has been a fantastic show. It is clear everyone's back. We're hearing phenomenal stories from AWS and it's ecosystem. We got a great customer story coming up next, featured on the main stage. >> Yeah, I mean, you know, post pandemic, you start to think about, okay, how are things changing? And one of the things that we heard from Adam Selipsky, was, we're going beyond digital transformation into business transformation. Okay. That can mean a lot of things to a lot of people. I have a sense of what it means. And I think this next interview really talks to business transformation beyond digital transformation, beyond the IT. >> Excellent. We've got two guests. One of them is an alumni, Scott Mullins joins us, GM, AWS Worldwide Financial Services, and Brad Peterson is here, the EVP, CIO and CTO of NASDAQ. Welcome guys. Great to have you. >> Hey guys. >> Hey guys. Thanks for having us. >> Yeah >> Brad, talk a little bit, there was an announcement with NASDAQ and AWS last year, a year ago, about how they're partnering to transform capital markets. It was a highlight of last year. Remind us what you talked about and what's gone on since then. >> Yeah, so, we are very excited. I work with Adena Friedman, she's my boss, CEO of NASDAQ, and she was on stage with Adam for his first Keynote as CEO of AWS. And we made the commitment that we were going to move our markets to the Cloud. And we've been a long time customer of AWS and everyone said, you know the last piece, the last frontier to be moved was the actual matching where all the messages, the quotes get matched together to become confirmed orders. So that was what we committed to less than a year ago. And we said we were going to move one of our options markets. In the US, we have six of them. And options markets are the most challenging, they're the most high volume and high performance. So we said, let's start with something really challenging and prove we can do it together with AWS. So we committed to that. >> And? Results so far? >> So, I can sit here and say that November 7th so we are live, we're in production and the MRX Exchange is called Mercury, so we shorten it for MRX, we like acronyms in technology. And so, we started with a phased launch of symbols, so you kind of allow yourself to make sure you have all the functionality working then you add some volume on it, and we are going to complete the conversion on Monday. So we are all good so far. And I have some results I can share, but maybe Scott, if you want to talk about why we did that together. >> Yeah. >> And what we've done together over many years. >> Right. You know, Brian, I think it's a natural extension of our relationship, right? You know, you look at the 12 year relationship that AWS and NASDAQ have had together, it's just the next step, in the way that we're going to help the industry transform itself. And so not just NASDAQ's business transformation for itself, but really a blueprint and a template for the entire capital markets industry. And so many times people will ask me, who's using Cloud well? Who's doing well in the Cloud? And NASDAQ is an easy example to point to, of somebody who's truly taking advantage of these capabilities because the Cloud isn't a place, it's a set of capabilities. And so, this is a shining example of how to use these capabilities to actually deliver real business benefit, not just to to your organization, but I think the really exciting part is the market technology piece of how you're serving other exchanges. >> So last year before re:Invent, we said, and it's obvious within the tech ecosystem, that technology companies are building on top of the Cloud. We said, the big trend that we see in the 2020s is that, you know, consumers of IT, historically, your customers are going to start taking their stacks, their software, their data, their services and sassifying, putting it on the Cloud and delivering new services to customers. So when we saw Adena on stage last year, we called it by the way, we called it Super Cloud. >> Yeah. >> Okay. Some people liked the term but I love it. And so yeah, Super Cloud. So when we saw Adena on stage, we said that's a great example. We've seen Capital One doing some similar things, we've had some conversations with US West, it's happening, right? So talk about how you actually do that. I mean, because you've got a lot, you've got a big on-premises stay, are you connecting to that? Is it all in the Cloud? Paint a picture of what the architecture looks like? >> Yeah. And there's, so you started with the business transformation, so I like that. >> Yeah. >> And the Super Cloud designation, what we are is, we own and operate exchanges in the United States and in Europe and in Canada. So we have our own markets that we're looking at modernizing. So we look at this, as a modernization of the capital market infrastructure, but we happen to be the leading technology provider for other markets around the world. So you either build your own or you source from us. And we're by far the leading provider. So a lot of our customers said, how about if you go first? It's kind of like Mikey, you know, give it to Mikey, let him try it. >> See if Mikey likes it. >> Yeah. >> Penguin off the iceberg thing. >> Yeah. And so what we did is we said, to make this easy for our customers, so you want to ask your customers, you want to figure out how you can do it so that you don't disrupt their business. So we took the Edge Compute that was announced a few years ago, Amazon Outposts, and we were one of their early customers. So we started immediately to innovate with, jointly innovate with Amazon. And we said, this looks interesting for us. So we extended the region into our Carteret data center in Northern New Jersey, which gave us all the services that we know and love from Amazon. So our technical operations team has the same tools and services but then, we're able to connect because in the markets what we're doing is we need to connect fairly. So we need to ensure that you still have that fairness element. So by bringing it into our building and extending the Edge Compute platform, the AWS Outpost into Carteret, that allowed us to also talk very succinctly with our regulators. It's a familiar territory, it's all buttoned up. And that simplified the conversion conversation with the regulators. It simplified it with our customers. And then it was up to us to then deliver time and performance >> Because you had alternatives. You could have taken a more mature kind of on-prem legacy stack, figured out how to bolt that in, you know, less cloudy. So why did you choose Outposts? I am curious. >> Well, Outposts looked like when it was announced, that it was really about extending territory, so we had our customers in mind, our global customers, and they don't always have an AWS region in country. So a lot of you think about a regulator, they're going to say, well where is this region located? So finally we saw this ability to grow the Cloud geographically. And of course we're in Sweden, so we we work with the AWS region in Stockholm, but not every country has a region yet. >> And we're working as fast as we can. - Yes, you are. >> Building in every single location around the planet. >> You're doing a good job. >> So, we saw it as an investment that Amazon had to grow the geographic footprint and we have customers in many smaller countries that don't have a region today. So maybe talk a little bit about what you guys had in mind and it's a multi-industry trend that the Edge Compute has four or five industries that you can say, this really makes a lot of sense to extend the Cloud. >> And David, you said it earlier, there's a trend of ecosystems that are coming onto the Cloud. This is our opportunity to bring the Cloud to an ecosystem, to an existing ecosystem. And if you think about NASDAQ's data center in Carteret, there's an ecosystem of NASDAQ's clients there that are there to be with NASDAQ. And so, it was actually much easier for us as we worked together over a really a four year period, thinking about this and how to make this technological transition, to actually bring the capabilities to that ecosystem, rather than trying to bring the ecosystem to AWS in one of our public regions. And so, that's been our philosophy with Outpost all along. It's actually extending our capabilities that our customers know and love into any environment that they need to be able to use that in. And so to Brad's point about servicing other markets in different countries around the world, it actually gives us that ability to do that very quickly, very nimbly and very succinctly and successfully. >> Did you guys write a working backwards document for this initiative? >> We did. >> Yeah, we actually did. So to be, this is one of the fully exercised. We have a couple of... So by the way, Scott used to work at NASDAQ and we have a number of people who have gone from NASDAQ data to AWS, and from AWS to NASDAQ. So we have adopted, that's one of the things that we think is an effective way to really clarify what you're trying to accomplish with a project. So I know you're a little bit kidding on that, but we did. >> No, I was close. Because I want to go to the like, where are we in the milestone? And take us through kind of what we can expect going forward now that we've worked backwards. >> Yep, we did. >> We did. And look, I think from a milestone perspective, as you heard Brad say, we're very excited that we've stood up MRX in production. Having worked at NASDAQ myself, when you make a change and when you stand up a market that's always a moment where you're working with your community, with your clients and you've got a market-wide call that you're working and you're wanting to make sure that everything goes smoothly. And so, when that call went smoothly and that transition went smoothly I know you were very happy, and in AWS, we were also very happy as well that we hit that milestone within the timeframe that Adena set. And that was very important I know to you. >> Yeah. >> And for us as well. >> Yeah. And our commitment, so the time base of this one was by the end of 2022. So November 7th, checked. We got that one done. >> That's awesome. >> The other one is we said, we wanted the performance to be as good or better than our current platform that we have. And we were putting a new version of our derivative or options software onto this platform. We had confidence because we already rolled it to one market in the US then we rolled it earlier this year and that was last year. And we rolled it to our nordic derivatives market. And we saw really good customer feedback. So we had confidence in our software was going to run. Now we had to marry that up with the Outpost platform and we said we really want to achieve as good or better performance and we achieved better performance, so that's noticeable by our customers. And that one was the biggest question. I think our customers understand when we set a date, we test them with them. We have our national test facility that they can test in. But really the big question was how is it going to perform? And that was, I think one of the biggest proof points that we're really proud about, jointly together. And it took both, it took both of us to really innovate and get the platform right, and we did a number of iterations. We're never done. >> Right. >> But we have a final result that says it is better. >> Well, congratulations. - Thank you. >> It sounds like you guys have done a tremendous job. What can we expect in 2023? From NASDAQ and AWS? Any little nuggets you can share? >> Well, we just came from the partner, the partner Keynote with Adam and Ruba and we had another colleague on stage, so Nick Ciubotariu, so he is actually someone who brought digital assets and cryptocurrencies onto the Venmo, PayPal platform. He joined NASDAQ about a year ago and we announced that in our marketplace, the Amazon marketplace, we are going to offer digital custody, digital assets custody solution. So that is certainly going to be something we're excited about in 2023. >> I know we got to go, but I love this story because it fits so great at the Super cloud but we've learned so much from Amazon over the years. Two pieces of teams, we talked about working backwards, customer obsession, but this is a story of NASDAQ pointing its internal capabilities externally. We're already on that journey and then, bringing that to the Cloud. Very powerful story. I wonder what's next in this, because we learn a lot and we, it's like the NFL, we copy it. I think about product market fit. You think about scientific, you know, go to market and seeing that applied to the financial services industry and obviously other industries, it's really exciting to see. So congratulations. >> No, thank you. And look, I think it's an example of Invent and Simplify, that's another Amazon principle. And this is, I think a great example of inventing on behalf of an industry and then continually working to simplify the way that the industry works with all of us. >> Last question and we've got only 30 seconds left. Brad, I'm going to direct it to you. If you had the opportunity to take over the NASDAQ sign in Times Square and say a phrase that summarizes what NASDAQ and AWS are doing together, what would it say? >> Oh, and I think I'm going to put that up on Monday. So we're going to close the market together and it's going to say, "Modernizing the capital market's infrastructure together." >> Very cool. >> Excellent. Drop the mic. Guys, this was fantastic. Thank you so much for joining us. We appreciate you joining us on the show, sharing your insights and what NASDAQ and AWS are doing. We're going to have to keep watching this. You're going to have to come back next year. >> All right. >> For our guests and for Dave Vellante, I'm Lisa Martin. You're watching theCUBE, the leader in live enterprise and emerging tech coverage. (soft music)

(upbeat music) >> Hey everyone! Welcome to the AWS Partner Showcase. This is season one, episode three with a focus on women in tech. I'm your host, Lisa Martin. I've got two guests here with me, Sue Persichetti, the EVP of Global AWS Strategic Alliances at Jefferson Frank. A Tenth Revolution Group company. And Danielle Greshock, one of our own CUBE alumni, joins us, ISV PSA director. Ladies, it's great to have you on the program talking about a topic that is near and dear to my heart, women in tech. >> Thank you, Lisa! >> Great to be here! >> So let's go ahead and start with you. Give the audience an understanding of Jefferson Frank, what does the company do, and about the partnership with AWS. >> Sure, so let's just start, Jefferson Frank is a Tenth Revolution Group company. And if you look at it, it's really talent as a service. So Jefferson Frank provides talent solutions all over the world for AWS clients, partners, and users, et cetera. And we have a sister company called Revolent, which is a talent creation company within the AWS ecosystem. So we create talent and put it out in the ecosystem. Usually underrepresented groups, over half of them are women. And then we also have a company called Rebura, which is a delivery model around AWS technology. So all three companies fall under the Tenth Revolution Group organization. >> Got it, Danielle, talk to me a little bit about from AWS' perspective and the focus on hiring more women in technology and about the partnership. >> Yes, this has definitely been a focus ever since I joined eight years ago, but also just especially in the last few years of we've grown exponentially and our customer base has changed. We want to have an organization interacting with them that reflects our customers, right? And we know that we need to keep pace with that even with our growth. And so we've very much focused on early career talent, bringing more women and underrepresented minorities into the organization, sponsoring those folks, promoting them, giving them paths to grow inside of the organization. I'm an example of that, of course, I've benefited from it. But also, I try to bring that into my organization as well and it's super important. >> Tell me a little bit about how you benefited from that, Danielle. >> I just think that I've been able to get, a seat at the table. I think that. I feel as though I have folks supporting me very deeply and want to see me succeed. And also they put me forth as a representative to bring more women into the organization as well. They give me a platform in order to do that, like this, but also many other spots as well. And I'm happy to do it because I feel that... you always want to feel that you're making a difference in your job. And that is definitely a place where I get that time and space in order to be that representative. To bring more women into benefiting from having careers in technology, which there's a lot of value there. >> Lot of value. Absolutely. So back over to you, what are some of the trends that you are seeing from a gendered diversity perspective in tech? We know the numbers of women in technical positions. >> Right. There's so much data out there that shows when girls start dropping out, but what are some of the trends that you're seeing? >> So that's a really interesting question. And Lisa, I had a whole bunch of data points that I wanted to share with you but just two weeks ago, I was in San Francisco with AWS at The Summit. And we were talking about this, we were talking about how we can collectively together attract more women, not only to AWS, not only to technology, but to the AWS ecosystem in particular. And it was fascinating because I was talking about the challenges that women have, and how hard to believe but about 5% of women who were in the ecosystem have left in the past few years. Which was really, really something that shocked everyone when we were talking about it, because all of the things that we've been asking for, for instance working from home, better pay, more flexibility, better maternity leave. Seems like those things are happening. So we're getting what we want, but people are leaving. And it seemed like the feedback that we got was that a lot of women still felt very underrepresented. The number one thing was that they couldn't be... you can't be what you can't see. So because they... we feel, collectively women, people who identify as women, just don't see enough women in leadership, they don't see enough mentors. I think I've had great mentors, but just not enough. I'm lucky enough to have the president of our company, Zoe Morris is a woman and she does lead by example. So I'm very lucky for that. And Jefferson Frank really quickly we put out a hiring, a salary, and hiring guide. Career and hiring guide every year. And the data points, and that's about 65 pages long, no one else does it. It gives an abundance of information around everything about the AWS ecosystem that a hiring manager might need to know. What I thought was really unbelievable was that only 7% of the people that responded to it were women. So my goal, being that we have such a very big global platform, is to get more women to respond to that survey. So we can get as much information and take action. So... >> Absolutely only 7%. So a long way to go there. Danielle, talk to me about AWS' focus on women in tech. I was watching, Sue, I saw that you shared on LinkedIn the TED Talk that the CEO and founder of Girls Who Code did. And one of the things that she said was that there was a survey that HP did some years back that showed that 60%... that men will apply for jobs if they only meet 60% of the list of requirements. Whereas with females, it's far, far less. We've all been in that imposter syndrome conundrum before. But Danielle, talk to us about AWS' specific focus here to get these numbers up. >> Well, I think it speaks to what Susan was talking about how I think we're approaching it top and bottom, right? We're looking out at who are the women who are currently in technical positions and how can we make AWS an attractive place for them to work? And that's a lot of the changes that we've had around maternity leave and those types of things. But then also, a more flexible working arrangements. But then also early... how can we actually impact early career women and actually women who are still in school. And our training and certification team is doing amazing things to get more girls exposed to AWS, to technology, and make it a less intimidating place. And have them look at employees from AWS and say like, "Oh, I can see myself in those people". And kind of actually growing the viable pool of candidates. I think we're limited with the viable pool of candidates when you're talking about mid-to-late career. But how can we help retrain women who are coming back into the workplace after having a child, and how can we help with military women who want to... or underrepresented minorities who want to move into AWS? We have a great military program but then also just that early high school career getting them in that trajectory. >> Sue, is that something that Jefferson Frank is also able to help with is getting those younger girls before they start to feel... >> Right. "There's something wrong with me, I don't get this." >> Right. >> Talk to us about how Jefferson Frank can help really drive up that in those younger girls. >> Let me tell you one other thing to refer back to that Summit that we did we had breakout sessions and that was one of the topics. Cause that's the goal, right? To make sure that there are ways to attract them. That's the goal. So some of the things that we talked about was mentoring programs from a very young age, some people said high school. But then we said, even earlier, goes back to you can't be what you can't see. So getting mentoring programs established. We also talked about some of the great ideas was being careful of how we speak to women using the right language to attract them. And so there was a teachable moment for me there actually. It was really wonderful because an African American woman said to me, "Sue". And I was talking about how you can't be what you can't see. And what she said was, "Sue, it's really different for me as an African American woman" Or she identified as non-binary but she was relating to African American women. She said, "You're a white woman. Your journey was very different than my journey". And I thought, "This is how we're going to learn". I wasn't offended by her calling me out at all. It was a teachable moment. And I thought I understood that but those are the things that we need to educate people on. Those moments where we think we're saying and doing the right thing, but we really need to get that bias out there. So here at Jefferson Frank we're trying really hard to get that careers and hiring guide out there. It's on our website to get more women to talk to it, but to make suggestions in partnership with AWS around how we can do this. Mentoring. We have a mentor me program. We go around the country and do things like this. We try to get the education out there in partnership with AWS. We have a women's group, a women's leadership group. So much that we do and we try to do it in partnership with AWS. >> Danielle, can you comment on the impact that AWS has made so far regarding some of the trends and and gender diversity that Sue was talking about? What's the impact that's been made so far with this partnership? >> Well, I think just being able to get more of the data and have awareness of leaders on how... it used to be a couple years back, I would feel like sometimes the solving to bring more women into the organization was kind of something that folks thought, "Oh, this is... Danielle is going to solve this." And I think a lot of folks now realize, "Oh, this is something that we all need to solve for." And a lot of my colleagues, who maybe a couple years ago didn't have any awareness or didn't even have the tools to do what they needed to do in order to improve the statistics on their or in their organizations, now actually have those tools and are able to kind of work with companies like Susan's work with Jefferson Frank in order to actually get the data, and actually make good decisions, and feel as though they often... these are not lived experiences for these folks. So they don't know what they don't know. And by providing data, and providing awareness, and providing tooling, and then setting goals, I think all of those things have really turned things around in a very positive way. >> And so you bring up a great point about from a diversity perspective. What is Jefferson Frank doing to get those data points up to get more women of all, well, really underrepresented minorities to be able to provide that feedback so that you can have the data and gleamy insights from it to help companies like AWS on their strategic objectives? >> Right, so when I go back to that careers and hiring guide, that is my focus today really, because the more data that we have and the data takes... we need people to participate in order to accurately get ahold of that data. So that's why we're asking. We're taking the initiative to really expand our focus. We are a global organization with a very, very massive database all over the world. But if people don't take action then we can't get the right... the data will not be as accurate as we'd like it to be, therefore take better action. So what we're doing is we're asking people all over the world to participate on our website jeffersonfrank.com In the survey so we can learn as much as we can. 7% is such a... Danielle and I we've got to partner on this just to sort of get that message out there, get more data so we can execute. Some of the other things that we're doing, we're partnering, as I mentioned, more of these events. We're doing around the Summits, we're going to be having more EDNI events, and collecting more information from women. Like I said, internally, we do practice what we preach and we have our own programs that are out there, that are within our own company where the women who are talking to candidates and clients every single day are trying to get that message out there. So if I'm speaking to a client or one of our internal people are speaking to a client or a candidate, they're telling them, "Listen, we really are trying to get these numbers up. We want to attract as many people as we can. Would you mind going to this hiring guide and offering your own information?" So we've got to get that 7% up. We've got to keep talking. We've got to keep getting programs out there. One other thing I wanted to Danielle's point, she mentioned women in leadership, the number that we gathered was only 9% of women in leadership within the AWS ecosystem. We've got to get that number up as well, because I know for me, when I see people like Danielle or her peers it inspires me. And I feel like I just want to give back. Make sure I send the elevator back to the first floor and bring more women in to this amazing ecosystem. >> Absolutely, we need- >> Love that metaphor. >> I do too! But to your point to get those numbers up not just at AWS, but everywhere else we need It's a help me help you situation. >> Exactly. >> So ladies, underrepresented minorities, if you're watching go to the Jefferson Frank website, take the survey. Help provide the data so that the women here that are doing this amazing work, have it to help make decisions and have more of females in leadership roles or underrepresented minorities. So we can be what we can see. >> Exactly. >> Ladies, thank you so much for joining me today and sharing what you guys are doing together to partner on this important cause. >> Thank you for having me, Lisa! >> Thank you! Thank you! >> My pleasure! For my guests, I'm Lisa Martin. You're watching theCUBES coverage of the AWS partner showcase. Thanks for your time. (gentle xylophone music)

>>The cube presents HPE discover 2022 brought to you by HPE. >>Hey everyone. Welcome back to the Cube's coverage of HPE. Discover 22 live from the Sans expo center in Las Vegas. Lisa Martin, here with Dave Velante. We've an alumni back joining us to talk about high performance computing and AI, Justin ARD, EVP, and general manager of HPC and AI at HPE. That's a mouthful. Welcome back. >>It is no, it's great to be back and wow, it's great to be back in person as well. >>It's it's life changing to be back in person. The keynote this morning was great. The Dave was saying the energy that he's seen is probably the most out of, of any discover that you've been at and we've been feeling that and it's only day one. >>Yeah, I, I, I agree. And I think it's a Testament to the places in the market that we're leading the innovation we're driving. I mean, obviously the leadership in HPE GreenLake and, and enabling as a service for, for every customer, not just those in the public cloud, providing that, that capability. And then obviously what we're doing at HPC and AI breaking, uh, you know, breaking records and, uh, advancing the industry. So >>I just saw the Q2 numbers, nice revenue growth there for HPC and AI. Talk to us about the lay of the land what's going on, what are customers excited about? >>Yeah. You know, it's, it's a, it's a really fascinating time in this, in this business because we're, you know, we just, we just delivered the first, the world's first exo scale system. Right. And that's, uh, you know, that's a huge milestone for our industry, a breakthrough, you know, 13 years ago, we did the first Petta scale system. Now we're doing the first exo scale system, huge advance forward. But what's exciting too, is these systems are enabling new applications, new workloads, breakthroughs in AI, the beginning of being able to do proper quantum simulations, which will lead us to a much, you know, brighter future with quantum and then actually better and more granular models, which have the ability to really change the world. >>I was telling Lisa that during the pandemic we did, uh, exo scale day, it was like this co yep. You know, produce event. And we weren't quite at exo scale yet, but we could see it coming. And so it was great to see in frontier and, and the keynote you guys broke through that, is that a natural evolution of HPC or is this we entering a new era? >>Yeah, I, I think it's a new era and I think it's a new era for a few reasons because that, that breakthrough really, it starts to enable a different class of use cases. And it's combined with the fact that I think, you know, you look at where the rest of the enterprises data set has gone, right? We've got a lot more data, a lot more visibility to data. Um, but we don't know how to use it. And now with this computing power, we can start to create new insights and new applications. And so I think this is gonna be a path to making HPC more broadly available. And of course it introduces AI models at scale. And that's, that's really critical cause AI is a buzzword. I mean, lots of people say they're doing AI, but when you know, to, to build true intelligence, not, not effectively, you know, a machine that learns data and then can only handle that data, but to build true intelligence where you've got something that can continue to learn and understand and grow and evolve, you need this class of system. And so I think we're at, we're at the forefront of a lot of exciting innovation. H how, >>In terms of innovation, how important is it that you're able to combine as a service and HPC? Uh, what does that mean for, for customers for experimentation and innovation? >>You know, a couple things I've been, I've actually been talking to customers about that over the last day and a half. And, you know, one is, um, you think about these, these systems are, they're very large and, and they're, they're pretty, you know, pretty big bets if you're a customer. So getting early access to them right, is, is really key, making sure that they're, they can migrate their software, their applications, again, in our space, most of our applications are custom built, whether you're a, you know, a government or a private sector company, that's using these systems, you're, you're doing these are pretty specialized. So getting that early access is important. And then actually what we're seeing is, uh, with the growth and explosion of insight that we can enable. And some of the diversity of, you know, new, um, accelerator partners and new processors that are on the market is actually the attraction of diversity. And so making things available where customers can use multimodal systems. And we've seen that in this era, like our customer Lumi and Finland number, the number three fastest system in the world actually has two sides to their system. So there's a compute side, dense compute side and a dense accelerator side. >>So Oak Ridge national labs was on stage with Antonio this morning, the, the talking about frontier, the frontier system, I thought what a great name, very apropo, but it was also just named the number one to the super computing, top 500. That's a pretty big accomplishment. Talk about the impact of what that really means. >>Yeah. I, I think a couple things, first of all, uh, anytime you have this breakthrough of number one, you see a massive acceleration of applications. And if you really, if you look at the applications that were built, because when the us department of energy funded these Exoscale products or platforms, they also funded app a set of applications. And so it's the ability to get more accurate earth models for long term climate science. It's the ability to model the electrical grid and understand better how to build resiliency into that grid. His ability is, um, Dr. Te Rossi talked about a progressing, you know, cancer research and cancer breakthroughs. I mean, there's so many benefits to the world that we can bring with these systems. That's one element. The other big part of this breakthrough is actually a list, a lesser known list from the top 500 called the green 500. >>And that's where we measure performance over power consumption. And what's a huge breakthrough in this system. Is that not only to frontier debut at number one on the top 500, it's actually got the top two spots, uh, because it's got a small test system that also is up there, but it's got the top two spots on the green 500 and that's actually a real huge breakthrough because now we're doing a ton more computation at far lesser power. And that's really important cuz you think about these systems, ultimately you can, you can't, you know, continue to consume power linearly with scaling up performance. There's I mean, there's a huge issue on our impact on our environment, but it's the impact to the power grid. It's the impact to heat dissipation. There's a lot of complexities. So this breakthrough with frontier also enables us no pun intended to really accelerate, you know, the, the capacity and scale of these systems and what we can deliver. >>It feels like we're entering a new Renaissance of HPC. I mean, I'm old enough to remember. I, it was, it wasn't until recently my wife, not recently, maybe five, six years ago, my wife threw out my, my green thinking machines. T-shirt that Danny Hillis gave you guys probably both too young to remember, but you had thinking machines, Ken to square research convex tried to mini build a mini computer HPC. Okay. And there was a lot of innovation going on around that time and then it just became too expensive and, and, and other things X 86 happened. And, and, but it feels like now we're entering a, a new era of, of HPC. Is that valid or is it true? What's that mean for HPC as an industry and for industry? >>Yeah, I think, I think it's a BR I think it's a breadth. Um, it's a market that's opening and getting much more broader the number of applications you can run, you know, and we've traditionally had, you know, scientific applications, obviously there's a ton in energy and, and you know, physics and some of the traditional areas that obviously the department of energy sponsor, but, you know, we saw this with, with even the COVID pandemic, right? Our, our supercomputers were used to identify the spike protein to, to help and validate and test these vaccines and bring them to market and record time. We saw some of the benefits of these breakthroughs. And I think it's this combination of that, that we actually have the data, you know, it's, it's digital, it's captured, um, we're capturing it at, you know, at the edge, we're capturing it and, and storing it obviously more broadly. So we have the access to the data and now we have the compute power to run it. And the other big thing is the techniques around artificial intelligence. I mean, what we're able to do with neural networks, computer vision, large language models, natural language processing. These are breakthroughs that, um, one require these large systems, but two, as you give them a large systems, you can actually really enable acceleration of how sophisticated these, these applications can get. >>Let's talk about the impact of the convergence of HPC and AI. What are some of the things that you're seeing now and what are some of the things that we're gonna see? >>Yeah. So, so I, one thing I like to talk about is it's, it's really, it's not a convergence. I think it's it. Sometimes it gets a little bit oversimplified. It's actually, it's traditional modeling and simulation leveraging machine learning to, to refine the simulation. And this is a, is one of the things we talk about a lot in AI, right? It's using machine learning to actually create code in real time, rather than humans doing it, that ability to refine the model as you're running. So we have an example. We did a, uh, we, we actually launched an open source solution called smart SIM. And the first application of that was climate science. And it's what it's doing is it's actually learning the data from the model as the simulation is running to provide more accurate climate prediction. But you think about that, that could be run for, you know, anything that has a complex model. >>You could run that for financial modeling, you can use AI. And so we're seeing things like that. And I think we'll continue to see that the other side of that is using modeling and simulation to actually represent what you see in AI. So we were talking about the grid. This is one of the Exoscale compute projects you could actually use once you actually get, get the data and you can start modeling the behavior of every electrical endpoint in a city. You know, the, the meter in your house, the substation, the, the transformers, you can start measuring the FX of that. You can then build equations. Well, once you build those equations, you can then take a model, cuz you've learned what actually happens in the real world, build the equation. And then you can provide that to someone who doesn't need a extra scale supercomputer to run it, but that, you know, your local energy company can better understand what's happening and they'll know, oh, there's a problem here. We need to shift the grid or respond more, more dynamically. And hopefully that avoids brownouts or, you know, some of the catastrophic outages we've >>Seen so they can deploy that model, which, which inherently has that intelligence on sort of more cost effective systems and then apply it to a much broader range. Do any of those, um, smart simulations on, on climate suggest that it's, it's all a hoax. You don't have to answer that question. <laugh> um, what, uh, >>The temperature outside Dave might, might give you a little bit of an argument to that. >>Tell us about quantum, what's your point of view there? Is it becoming more stable? What's H HPE doing there? >>Yeah. So, so look, I think there's, there's two things to understand with quantum there's quantum hardware, right? Fundamentally, um, how, um, how that runs very differently than, than how we run traditional computers. And then there's the applications. And ultimately a quantum application on quantum hardware will be far more efficient in the future than, than anything else. We, we see the opportunity for, uh, much like we see with, you know, with HPC and AI, we just talked about for quantum to be complimentary. It runs really well with certain applications that fabricate themselves as quantum problems and some great examples are, you know, the, the life sciences, obviously quantum chemistry, uh, you see some, actually some opportunities in, in, uh, in AI and in other areas where, uh, quantum has a very, very, it, it just lends itself more naturally to the behavior of the problem. And what we believe is that in the short term, we can actually model quantum effectively on these, on these super computers, because there's not a perfect quantum hardware replacement over time. You know, we would anticipate that will evolve and we'll see quantum accelerators much. Like we see, you know, AI accelerators today in this space. So we think it's gonna be a natural evolution in progression, but there's certain applications that are just gonna be solved better by quantum. And that's the, that's the future we'll we'll run into. And >>You're suggesting if I understood it correctly, you can start building those applications and, and at least modeling what those applications look like today with today's technology. That's interesting because I mean, I, I think it's something rudimentary compared to quantum as flash storage, right? When you got rid of the spinning disc, it changed the way in which people thought about writing applications. So if I understand it, new applications that can take advantage of quantum are gonna change the way in which developers write, not one or a zero it's one and virtually infinite <laugh> combinations. >>Yeah. And I actually, I think that's, what's compelling about the opportunity is that you can, if you think about a lot of traditional the traditional computing industry, you always had to kind of wait for the hardware to be there, to really write, write, and test the application. And we, you know, we even see that with our customers and HPC and, and AI, right? They, they build a model and then they, they actually have to optimize it across the hardware once they deploy it at scale. And with quantum what's interesting is you can actually, uh, you can actually model and, and, and make progress on the software. And then, and then as the hardware becomes available, optimize it. And that's, you know, that's why we see this. We talk about this concept of quantum accelerators as, as really interesting, >>What are the customer conversations these days as there's been so much evolution in HPC and AI and the technology so much change in the world in the last couple of years, is it elevating up the CS stack in terms of your conversations with customers wanting to become familiar with Exoscale computing? For example? >>Yeah. I, I think two things, uh, one, one is we see a real rise in digital sovereignty and Exoscale and HPC as a core fund, you know, fundamental foundation. So you see what, um, you know, what Europe is doing with the, the, the Euro HPC initiative, as one example, you know, we see the same kind of leadership coming out of the UK with the system. We deployed with them in Archer two, you know, we've got many customers across the globe deploying next generation weather forecasting systems, but everybody feels, they, they understand the foundation of having a strong supercomputing and HPC capability and competence and not just the hardware, the software development, the scientific research, the, the computational scientists to enable them to remain competitive economically. It's important for defense purposes. It's important for, you know, for helping their citizens, right. And providing, you know, providing services and, and betterment. >>So that's one, I'd say that's one big theme. The other one is something Dave touched on before around, you know, as a service and why we think HP GreenLake will be, uh, a beautiful marriage with our, with our HPC and AI systems over time, which is customers also, um, are going to scale up and build really complex models. And then they'll simplify them and deploy them in other places. And so there's a number of examples. We see them, you know, we see them in places like oil and gas. We see them in manufacturing where I've gotta build a really complex model, figure out what it looks like. Then I can reduce it to a, you know, to a, uh, certain equation or application that I can then deploy. So I understand what's happening and running because you, of course, as much as I would love it, you're not gonna have, uh, every enterprise around the world or every endpoint have an exit scale system. Right. So, so that ability to, to, to really provide an as a service element with HP GreenLake, we think is really compelling. >>HP's move into HPC, the acquisitions you've made it really have become a differentiator for the company. Hasn't it? >>Yeah. And I, and I think what's unique about us today. If you look at the landscape is we're, we're really the only system provider globally. Yeah. You know, there are, there are local players that we compete with. Um, but we are the one true global system provider. And we're also the only, I would say the only holistic innovator at the system level to, to, you know, to credit my team on the work they're doing. But, you know, we're, we're also very committed to open standards. We're investing in, um, you know, in a number of places where we contribute the dev the software assets to open source, we're doing work with standards bodies to progress and accelerate the industry and enable the ecosystem. And, uh, and I think that, you know, ultimately the, the, the last thing I'd say is we, we are so connected in, um, with, through our, through the legacy or the, the legend of H Hewlett Packard labs, which now also reports into me that we have these really tight ties into advanced research and that some of that advanced research, which isn't just, um, around kind of core processing Silicon is really critical to enabling better applications, better use cases and accelerating the outcomes we see in these systems going forward. >>Can >>You double click on that? I, I, I wasn't aware that kind of reported into your group. Yeah. So, you know, the roots of HP are invent, right? Yeah. HP labs are, are renowned. It kinda lost that formula for a while. And now it's sounds like it's coming back. What, what, what are some of the cool things that you guys are working on? Well, >>You know, let me, let me start with a little bit of recent history. So we just talked about the exo scale program. I mean, that was a, that's a great example of where we had a public private partnership with the department of energy and it, and it wasn't just that we, um, you know, we built a system and delivered it, but if you go back a decade ago, or five years ago, there were, there were innovations that were built, you know, to accelerate that system. One is our Slingshot fabric as an example, which is a core enable of, of acceler, you know, of, of this accelerated computing environment, but others in software applications and services that allowed us to, you know, to really deliver a, a complete solution into the market. Um, today we're looking at things around trustworthy and ethical AI, so trustworthy AI in the sense that, you know, the models are accurate, you know, and that's, that's a challenge on two dimensions, cuz one is the, model's only as good as the data it's studying. >>So you need to validate that the data's accurate and then you need to really study how, you know, how do I make sure that even if the data is accurate, I've got a model that then, you know, is gonna predict the right things and not call a, a dog, a cat, or a, you know, a, a cat, a mouse or whatever that is. But so that's important. And, uh, so that's one area. The other is future system architectures because, um, as we've talked about before, Dave, you have this constant tension between the fabric, uh, you know, the interconnect, the compute and the, and the storage and, you know, constant, constantly balancing it. And so we're really looking at that, how do we do more, you know, shared memory access? How do we, you know, how do we do more direct rights? Like, you know, looking at some future system architectures and thinking about that. And we, you know, we think that's really, really critical in this part of the business because these heterogeneous systems, and not saying I'm gonna have one monolithic application, but I'm gonna have applications that need to take advantage of different code, different technologies at different times. And being able to move that seamlessly across the architecture, uh, we think is gonna be the, you know, a part of the, the hallmark of the Exoscale era, including >>Edge, which is a completely different animal. I think that's where some disruption is gonna gonna bubble up here in the next decade. >>So, yeah know, and, and that's, you know, that's the last thing I'd say is, is we look at AI at scale, which is another core part of the business that can run on these large clusters. That means getting all the way down to the edge and doing inference at scale, right. And, and inference at scale is, you know, I, I was, um, about a month ago, I was at the world economic forum. We were talking about the space economy and it's a great, you know, to me, it's the perfect example of inference, because if you get a set of data that you know, is, is out at Mars, it doesn't matter whether, you know, whether you wanna push all that data back to, uh, to earth for processing or not. You don't really have a choice, cuz it's just gonna take too long. >>Don't have that time. Justin, thank you so much for spending some of your time with Dave and me talking about what's going on with HBC and AI. The frontier just seems endless and very exciting. We appreciate your time on your insights. >>Great. Thanks so much. Thanks. >>Yes. And don't call a dog, a cat that I thought I learned from you. A dog at no, Nope. <laugh> Nope. <laugh> for Justin and Dave ante. I'm Lisa Martin. You're watching the Cube's coverage of day one from HPE. Discover 22. The cube is, guess what? The leader, the leader in live tech coverage will be right back with our next guest.

>> Announcer: "theCUBE" presents HPE Discover 2022, brought to you by HPE. >> Greetings from Las Vegas, everyone. Lisa Martin, here with Dave Vellante. We are live at HPE Discover 2022 with about 8,000 folks here at The Sands Expo Convention Center. First HPE Discover in three years, everyone jammed in that keynote room, it was standing in only. Dave and I have a couple of exciting guests we're proud to introduce you to. Please, welcome back to "theCUBE," John Schultz, the EVP and general counsel of HPE. Great to have you back here. And Kay Firth-Butterfield, the head of AI and machine learning at the World Economic Forum. Kay, thank you so much for joining us. >> Thank you. It's an absolute pleasure. >> Isn't it great to be back in person? >> Fantastic. >> John, we were saying that. >> Fantastic. >> Last time you were on "theCUBE", it was Cube Virtual. Now, here we are back. A lot of news this morning, a lot's going on. The Edge to Cloud Conferences is the theme this year. In today's Edge to Cloud world, so much data being generated at the edge, it's just going to keep proliferating. AI plays a key role in helping to synthesize that, analyze large volumes of data. Can you start by talking about the differences of the two? The synergies, what you see? >> Yeah. Absolutely. And again, it is great to be back with the two of you, and great to be with Kay, who is a leading light in the world of AI, and particularly, AI responsibility. And so, we're going to talk a little bit about that. But really, this synergistic effect between data and AI, is as tight as they come. Really, data is just the raw materials by which we drive actionable insight. And at the end of the day, it's really about insights, and that speed to insight to make the difference. AI is really what is powering our ability to take vast amounts of data. Amounts of data that we'd never conceived of, being able to process before and bring it together into actionable insights. And it's simplest form, right? AI is simply making computers do what humans used to do, but the power of computing, what you heard about frontier on the main stage today, allows us to use technology to solve problems so complex that it would take humans millions of years to do it. So, this relationship between data and AI, it's incredibly tight. You need the right raw materials. You need the right engine, that is the AI, and then you will generate insights that could really change the world. >> So, Kay, there's a data point from the World Economic Forum which really caught my attention. It says the 15.7 billion of GDP growth is going to be a result of AI by 2030, 15.7 billion added. That includes the dilutive effects where we're replacing humans with machines. What is driving this in this incremental growth? >> Well, I think obviously, it's the access to the huge amounts of data that John pointed out. But one of the things that we have to remember about, AI is that actually, AI is pretty dumb unless you give it nice, clean, organized data. And so, it's not just all data, but it's data that has been through a process that enables the AI to gain insights from it. And so, what is it? It's the compute power, the ever increasing compute power. So, in the past, we would never have thought that we could use some of the new things that we're seeing in machine learning, so even deep learning. It's only been about for a small length of time, but it's really with the compute power, with the amount of data, being able to put AI on steroids, for luck of a better analogy. And I think it's also that we are now in business, and society, being able to see some of the benefits that can be generated from AI. Listening to Oakridge talk about the medical science advances that we can create for human beings, that's extraordinary. But we're also seeing that across business. >> That's why I was going to add. As impressive as those economic figures are in terms of what value it could add from a pure financial perspective? It's really the problems that could be solved. If you think about some of the things that happened in the pandemic, and what virtual experience allowed with a phone or with a tablet to check in with a doctor who was going to curate your COVID test, right? When they invented the iPhone, nobody thought that was going to be the use. AI has that same promise, but really on a macro global scale, some of the biggest problems we're trying to solve. So, huge opportunity, but as we're going to talk about a little later, huge risk for it to be misused if it's not guided and aimed in the right direction. >> Absolutely. >> That's okay. Maybe talk about that? >> Well, I was just going to come back about some of the benefits. California has been over the last 10 years trying to reduce emissions. One wildfire, absolutely wiped out all that good work over 10 years. But with AI, we've been developing an application that allows us to say, "Tomorrow, at this location, you will have a wildfire. So, please send your services to that location." That's the power of artificial intelligence to really help with things like climate change. >> Absolutely. >> Is that a probability model that's running somewhere? >> Yeah. Absolutely >> So, I wanted to ask you, but a lot of AI today, is modeling that's done, and the edge, you mentioned the iPhone, with all this power and new processors. AI inferencing at the edge in real time making real time decisions. So, one example is predicting, the other is there's actually something going on in this place. What do you see there? >> Yeah, so, I mean, yes we are using a predictive tool to ingest the data on weather, and all these other factors in order to say, "Please put your services here tomorrow at this time." But maybe you want to talk about the next edge. >> Yeah. Yeah. Well, and I think it's not just grabbing the data to do some predictive modeling. It's now creating that end-to-end value chain where the actions are being taken in real time based on the information that's being processed, especially out at the edge. So, you're ending up, not just with predictive modeling, but it's actually transferring into actual action on the ground that's happening... You know, we like to say automagically. So, to the point where you can be making real time changes based on information that continues to make you smarter and smarter. So, it's not just a group of people taking the inputs out of a model and figuring out, okay now what am I going to do with it? The system end-to-end, allows it to happen in a way that drives a time to value that is beyond anything we've seen in the pas- >> In every industry? >> In every industry. >> Absolutely, and that's something we learned during the pandemic, one of the many things. Access to real time data to actually glean those insights that can be acted on, is no longer a nice to have. >> No. >> For companies in any industry they've got to have that now, they've got to use it as their competitive advantage. Where do you see when you're talking with customers, John? Where are they in that capability and leveraging AI on steroids, as I said? >> Yeah. I think it varies. I mean, certainly I think as you look in the medical field, et cetera, I mean, I think they've been very comfortable, and that continues to up. The use cases are so numerous there, that in some ways we've only scratched the surface, I think. But there's a high degree of acceptance, and people see the promise. Manufacturing's another area where automation and relying on some form of what used to be kind of analog intelligence, people are very comfortable with. I would say candidly, I would say the public sector and government is the furthest behind. It may be used for intelligence purposes, and things like that, but in terms of advancing overall, the common good, I think we're trailing behind there. So, that's why things like the partnership with Oak Ridge National Laboratory, and some of the other things we're seeing. That's why organizations like the World Economic Forum are so important, because we've got to make sure that this isn't just a private sector piece, It's not just about commercialization, and finding that next cost savings. It really should be about, how do you solve the world's biggest problems and do in a way that's smarter than we've ever been able to do it before? >> It's interesting, you say public sectors is behind because in some respects, they're really advanced, but they're not sharing that because it's secretive. >> Yeah. >> Right? >> That's very fair. >> Yeah. So, Kay, the other interesting stat, was that by 2023 this is like next year, 6.8 trillion will be spent on digital transformation. So, there's this intersection of data. I mean, to me, digital is data. But a lot of it was sort of, we always talk about the acceleration 'cause of the pandemic. If you weren't a digital business you were out of business, and people sort of rushed, I call it the force-march to digital. And now, are people stepping back and saying, "Okay, what can we actually do?" And maybe being more planful? Maybe you could talk about the sort of that roadmap? >> Sure. I think that that's true. And whilst I agree with John, we also see a lot of small... A lot of companies that are really only at proof of value for AI at the moment. So, we need to ensure that everybody, we take everybody, not just the governments, but everybody with us. And one of the things I'm often asked, is if you're a small or medium-sized enterprise, how can you begin to use AI at scale? And I think that's one of the exciting things about building a platform. >> That's right. >> And enabling people to use that. I think that there is also, the fact that we need to take everybody with us on this adventure because AI is so important. And it's not just important in the way it's currently being used. But if we think about these new frontier technologies like Metaverse, for example. What's the Metaverse except an application of AI? But if we don't take everybody on the journey now, then when we are using applications in the Metaverse, or building applications in the Metaverse what happens at that point? >> Think about if only certain groups of people or certain companies had access to wifi, or had access to cellular, or had access to a phone, right? The advantage and the inequality would be manifest, right? We have to think of AI and super computing in the same way, because they are going to be these raw ingredients that are going to drive the future. And if they are not, if there isn't some level of AI equality, I think the potential negative consequences of that, are incredibly high, especially in the developing world. >> Talk about it from a responsibility perspective? Getting everybody on board is challenging from a cultural standpoint, but organizations have to do it as you both articulated. But then every time we talk about AI, we've got to talk about it's used responsibly. Kay, what are your thoughts there? What are you seeing out in the field? >> Yeah, absolutely. And I started working in this in about 2014 when there were maybe a handful of us. What's exciting for me, is that now you hear it on people's lips, much more. But we still got a long way to go. We still got that understanding to happen in companies that although you might, for example, be a drug discovery company, you are probably using AI not just in drug discovery but in a number of backroom operations such as human resources, for example. We know the use of AI and human resources is very problematic. And is about to be legislated against, or at least be set up as a high risk problem use of AI by the E.U. So, across the E.U, we know what happened with GDPR that it became something that lots and lots of countries used, and we expect the AI Act to also become used in that way. So, what you need, is you need not only for companies to understand that they are gradually becoming AI companies, but also that as part of that transformation, it's taking your workers with you. It's helping them understand that AI won't actually take their jobs, it will merely help them with reskilling or working better in what they do. And they think it's also in actually helping the board to understand. We know lots of boards that don't have any clue about AI. And then, the whole of the C-suite and the trickle all down, and understanding that at the end, you've got tools, you've got data, and you've got people, and they all need to be working together to create that functional, responsible AI layer. >> When we think about it, really, when we think about responsible AI, really think about at least three pillars, right? The first off, is that privacy aspect. It's really that data ingestion part, which is respecting the privacy of the individuals, and making sure that you're collecting only the data you should be collecting to feed into your AI mechanism, right? The second, is that inclusivity and equality aspect. We've got to make sure that the actions that are coming out, the insights were generate, driving, really are inclusive. And that goes back to the right data sets. It goes back to the integrity in the algorithm. And then, you need to make sure that your AI is both human and humane. We have to make sure we don't take that human factor out and lose that connection to what really creates our shared humanity. Some of that's transparency, et cetera. I think all of those sound great. We've had some really interesting discussions about in practice, how challenging that's going to be, given the sophistication of this technology. >> When you say transparency, you're talking about the machine made a decision. I have to see how, understand how the machine made a decision. >> Algorithmic transparency. Go ahead. >> Algorithmic transparency. And the United States is actually at the moment considering something which is called the Algorithmic Accountability Act. And so, there is a movement to particularly where somebody's livelihood is affected. Say, for example, whether you get a job, and it was the algorithm that did the pre-selection in the human resources area. So, did you get a job? No, you didn't get that job. Why didn't you get that job? Why did the algorithm- >> A mortgage would be another? >> A mortgage would be another thing. And John was talking about the data, and the way that the algorithms are created. And I think, one great example, is lots of algorithms are currently created by young men under 20. They are not necessarily representative of your target audience for that algorithm. And unless you create some diversity around that group of developers, you're going to create a product that's less than optimal. So, responsible AI, isn't just about being responsible and having a social conscience, and doing things, but in a human-centered way, it's also about your bottom line as well. >> It took us a long time to recognize the kind of the shared interest we have in climate change. And the fact that the things that are happening one part of the world, can't be divorced from the impact across the the globe. When you think about AI, and the ability to create algorithms, and engage in insights, that could happen in one part of the world, and then be transferred out, not withstanding the fact, that most other countries have said, "We wouldn't do it this way, or we would require accountability. You can see the risk." It's what we call the race to the bottom. If you think about some of the things that have happened over the time in the industrial world. Often, businesses flock to those places with the least amount of safeguards that allow them to go the fastest, regardless of the collateral damage. I think we feel that same risk exists today with AI. >> So, much more we could talk about, guys, unfortunately, we are out of time. But it's so amazing to hear where we are with AI, where companies need to be. And it's the tip of the iceberg. You're very exciting. >> Yes. >> Kay and John, thank you so much for joining Dave and me. >> Thank you. >> Thank you. >> Thank you. >> It's a pleasure. >> We want to thank you for watching this segment. Lisa Martin, with Dave Vellante for our guests. We are live at HPE Discover '22. We'll be back with our next guest in just a minute. (bright upbeat music)

(bright music) >> Hey everyone, welcome back to theCUBE's continuing coverage of Snowflake Summit 22, live from Caesar's Forum in Las Vegas. I'm Lisa Martin here with about 7,000 plus folks, and this next Cube segment, two words, girl power. Please welcome one of our alumni back to the program, Colleen Kapase, SVP, Worldwide Partners and Alliances at Snowflake and Poornima Ramaswamy, EVP of Global Partnerships and Chief of Staff to the CEO. Ladies, welcome to the program! >> Thank you, very happy to be here, amazing event! >> Isn't it? It's so great to see this many people. Yesterday, the keynote, we got in barely, standing room only. I know there was at least one overflow room, maybe two. People are chomping at the bit to hear what Snowflake and its ecosystem has been up to the last three years, since 2019. >> It's been phenomenal! Since the last time we met together, as humans coming together, and then seeing the step function growth three years later, I don't think, we didn't grow gradually. We just jumped three years ahead, and people have just been hungry for the information and the sharing and the joint education, so it's been a phenomenal show. >> It has been, Poornima, talk to us about the Qlik partnership with Snowflake. What's it all about? What's your joint vision, your joint strategy? Give us all that good stuff. >> Sure, so speaking of three years, this relationship has been in existence for the last three years. We were at the last Snowflake Conference in 2019, and I liked what Frank said, even though we were not in-person in life the innovation has continued and our relationship has strengthened over the last three years as well. So it's interesting that everything that Frank and everything that was mentioned at the keynote yesterday is completely in alignment with Qlik's vision and strategy as well. We are focused on making data available for quick decision making, in a timely manner, for in the moment business decisions as such. The world has gone topsy-turvy in the last two years, so you want to know things that are changing as they happen and not one day late, one month late or one quarter late, because then the world's already passed you, that business moment has passed you. That's been our focus. We've got a dual product strategy and portfolio. We collaborate really strongly with Snowflake on both of those to make the most amount of data, made available on the Snowflake platform in the shortest amount of time, so that it's fresh, and it's timely for business decision makers to get access to it, to make decisions as they are dealing with supply chain challenges and people challenges and so on and can make those moments count as such. >> They have to, one of the things that we've learned in the pandemic is access to real-time data is no longer a, oh, that's great, nice to have. It's table stakes for businesses in every industry. Consumer expectations have risen to a level we've probably never seen, and let's face it, they're not going to go down. Nobody's going to want less data, slower. (laughs) Colleen, talk about the Qlik partnership from your Snowflake's perspective. >> Yeah, it's been fabulous, and we started on the BI side and keep evolving it, frankly with more technology, more solutions, making that real-time access, not just the the BI side of having the business intelligence and seeing the data but moving beyond that to the governance side, and that's such a huge piece of the relationship as well, and the trustworthy that executives have with the data, who's seeing it and how are we leveraging it, and we keep expanding that too and having some fun too. I know you guys have been making some acquisitions. >> Talk to us about what's going on at Qlik and some news today as well, acquisitions news, what's the deal? >> Yeah, so like I mentioned, we have a dual product strategy, a Qlik data integration platform and a Qlik analytics platform. And we are strengthening, making sure that we align with Snowflake's vision of all workloads, SaaS only and governed. So the announcement today was we do provide real-time data using our Qlik data integration platform into Snowflake, but that real-time data has to make its way into the hands of the business decision makers as well. So we launched what we call as direct query into Snowflake, so as and when data gets into the Snowflake platform, now customers for specific use cases can choose to access that data as it comes in by accessing it directly on Snowflake. And there are other use cases where the data's already been prepared and so on, and they'll continue using the Qlik analytics platform, but this direct query access will make a world of difference in terms of that active intelligence, in-the-moment decision making. The second announcement that we did was the SaaS first and going all into SaaS, so we are doing our data movement investments in our SaaS platform, and one of our first investments is on the Snowflake platform, going direct into Snowflake, and our data ingestion now, our data replication real-time is going to be available natively into the Snowflake platform through our SaaS data transformation investment that we've made. So those are the two big announcements, and governance has been the cornerstone for our platform end-to-end, right from the beginning, and that strength continues, and that's, again, completely in alignment with the vision that Snowflake has as well. >> I couldn't agree more, that native integration, we used to think about bringing the data to the work, and now it's bring the work to the data, because that's the secure environment, the governed environment, and that's what we're seeing with our product roadmaps together and where we're going, and it gives customers just peace of mind. When you're bringing the work to the data, it's more secure, it's more governed, and that real-time access, it's speed, because boy, so many executives have to make real-time decisions quickly. The world is moving faster than it ever has before, and I've never had an executive say, "Oh yeah, I'll just wait and get the data later." That's not a conversation they have. I need it, and I need it now, and I need it at my fingertips, and I need more of my entire organization to have access to that data, what I feel secure and safe to share with them. And so, having Qlik make that possible is just fantastic. >> The security piece is absolutely critical. We've seen such changes to the threat landscape in the last couple of years. It's no longer now a, if we get hit by a cyber attack, it's a matter of when. And the volume of data just keeps proliferating, proliferating, proliferating, which obviously is not going to slow down either. So having the governance factor, the ability to share data securely, leveraging powerful analytics across to customers and partners and ecosystem, it sounds like to me a pretty big differentiator of what Snowflake is delivering to its customers and the ecosystem. >> It is, and I would say one of the things that has held folks back from moving to the cloud before, was governance. Is this just going to be a free for all, Lisa? I'm not feeling secure with that. And so, having the ability to extend our ecosystem and work on that governance together gives executives peace of mind, that they can easily determine who's going to have access to what, which makes a transition to the cloud faster. And that's what we're looking for, because to have our customers experience the benefits of cloud and the moving up and moving down from a data perspective and really getting access to the data cloud, that's where the nirvana is, and so you guys are helping make that possible and provide that peace of mind, so it's amazing. >> You talk about peace of mind, and it's one of those things we think, oh, it's a marketing term or it's a soft term. It's actually not, it's completely measurable, and it's something that I talk to a lot of C-suite, and the statement of "I sleep better at night," is real. There's gravity with it, knowing that they can trust where the data is. The access is governed. It just keeps getting more and more critical every day. >> Colleen: Well, it's a newsworthy event, frankly- >> Absolutely, nobody wants don't to be a headline. >> If things don't go right, that's people's jobs on the line that's reputations, and that's careers, so that is so important, and I think with a lot of our customers that's our conversations directly of how can you ensure that this is going to be a secure experience? And it's Snowflake and some of our superpowers, and frankly, some of our partners superpowers too, together it's better. >> I can bring this home with a customer example, a couple of customer examples. So Urban Outfitters, I think they're a well-known brand. They've got about 650 stores, to your point on governed autonomy is what I call it. But then it's not just about helping with decision making at the top. You want to be able to make decision making at all levels, so we speak about data democratization. It's about not just strategic decisions that you make for a two-year timeframe or a five-year timeframe. It's about decisions that you want to make today in the first half of the day versus the second half of the day. So Urban Outfitters is a common customer, and during the pandemic they had to change their in-stores into distribution centers. They had to look at their supply chain landscape, because there were supply chain bottlenecks that are still happening today. So, with the power of both Qlik data integration and Qlik analytics, but then the combined power of Qlik and Snowflake, the customer actually was able to make insights available to their in-store managers, to their distribution centers, and from a time perspective, what used to take them days, or, in fact, sometimes even weeks, they're now able to get data in 15 minutes refresh time for their operational decision makers, their distribution centers and their order taking systems, so they're able to make decisions on which brands are moving, not moving. Do they need to change the product position in their stores? Do they need to change their suppliers today? Because, for what's going to be in their inventory one month later, because they are foreseeing, they're able to predict the supply chain bottlenecks that are coming in. They're able to do all of that today because that power of a governed autonomous environment that we've built but real-time data making fresh data available through Snowflake and easy-to-use dashboards and visualization through the analytics platform that we've got. And another customer ABB, 37 different SAP source systems being refreshed every two minutes, worldwide for B2B transactions to be able to make all of those decisions. >> And what you're talking about there, especially with their Urban Outfitters example, I think that's one that everybody as a consumer of clothing and apparel, what you just described, what Qlik and Snowflake enabled there, that could have very well saved that organization. We saw a lot of retailers that were not able to make that pivot. >> Poornima: Yep, no, and it did. >> You are exactly right. I think the differentiation on a lot of our core customers together of combing through, not just surviving but thriving through the pandemic, access to data and supply chain management, and it's these types of solutions that are game changing, and that's why Snowflake's not being sold just to the IT department, it's the business decision makers where they have to make decisions, and one of the things that surprised us the most was we had the star schema COVID data up on our data marketplace and the access to that, that we had our customers to determine supply chain management. What's open? What are the rules per state, per region? Where should we put supply? Where should we not? It was phenomenal. So when you have tools like what Qlik offers together with that data coming through the community, I think that's where a lot of executives experience the power of the data cloud, and that's what we want to see. And we're helping real businesses. We say we want to drive outcomes. Supply chain management was a massive outcome that we helped over the last two years. >> And that was critical, obviously we're still in that from a macro economic perspective. It's still a challenge for a lot of folks, but it was life and death. It was, initially, how do we survive this? And to your point, Colleen, now we've got this foundation, now we can thrive, and we can leave the competition who wasn't able to move this fast in the dust behind us. >> A foreseen function for change, really, and then that change wasn't just different, it was better. >> Yeah, it is better, and it now sets the foundation for the next stage of innovation, which is auto ML and AI ML. You're looking back, you're saying, "Okay this is all the data, "so these are the decisions I had to make in the moment." But then now they can start looking at what are the midterm and the long term strategic decisions I have to make, because I can now predict what are the interconnectedness or the second secondary level and the tertiary level impact for worldwide events. There's a pandemic. We are passed the pandemic. There's flood somewhere. There's fire somewhere. China shuts down every so often. You need new suppliers. How do you get out of your way in terms of making daily decisions, but start planning ahead? I think auto ML, AI ML, and data's going to be the foundation for that and real-time data at that. So what Snowflake's doing in terms of the investment in that space, and Qlik has acquired companies in the auto ML space and driving more automation, that time-to-business value and time-to-predictive insights is going to become very key. >> Absolutely key and also really a lifeline for organizations to be able to do that. >> And I have to say, it's a source of pride for us to see our partners growing and thriving in this environment too. Like some of these acquisitions they're making, Lisa, in the machine learning space, it's awesome. This is where customers want to go. They've got all this fabulous data. They now know how to access it real time. How do I use queries to make me smarter? How do I use this machine learning to look at a vast amount of data in a very real time fashion and make business decisions from? That's the future, that's where we're going. So to see you guys expand from BI, to governance, to machine learning, we're really, Lisa, watching companies in our ecosystem grow as we grow, and that's the piece I take a lot of personal pride in, and it's the fun part of the job, frankly. >> Yeah, as you should take part in that, and that's something too, that's been thematic the last... We were recovering this show yesterday and today that the growth and the substance of the Snowflake ecosystem. You see it, you feel it, and you hear it. >> Yeah, well in Frank Slootman's book, "Amp It Up," there's actually a section that he talks about, because I think he has some amazing lifelong advice on his journey of growth, and he tells us that, "Hey you can attach your company, "your personal career energy to an elevator going up "and a company and a high growth story "or a flat or declining." And it's harder in a flat and declining space, and Snowflake we certainly see as an elevator skyrocketing up and these organizations surrounding us with their technologies and capabilities to have joint outcomes, they're doing fantastic too. I've heard this story over and over again this week. I love seeing this story too with Qlik, and it's just amazing. >> I bet, Ladies, thank you so much for joining me, talking about the Snowflake-Qlik partnership, the better together power, and also, you're just scratching the surface. The future, the momentum, you can feel it. >> Yeah, I love it. >> We appreciate your insights and your time and good luck! >> Thank you, thank you. >> And let's let the girl bosses go! (laughs) >> Exactly! (laughs) For my girl boss guests, I'm Lisa Martin. You're watching theCUBE's coverage of Snowflake Summit 22, live from Caesar's Forum in Las Vegas. I'll be right back with my next guest. (bright music)

>>Okay, welcome back everyone. To the cubes coverage of ADB has re-invent 2021. I'm John fare with Dave Nicholson. My cohost we're here exploring all the future innovations. We've got a great guest we'll lead negam who's the EVP executive vice president chief research innovation officer cap, Gemini engineering will lead. Thanks for coming on the cube. Thank you. So I love the title, chief research, innovation engineering officer. >>I didn't make it up. They did. >>You got to love the cloud evolution right now because just more and more infrastructure as codes happening. You got this whole data abstraction layer developing where people are starting to see. Okay. I can have horizontally scalable governed data in a data lake. That's smart, someone intelligent and use machine learning. It seems to be the big trend here from AWS. More serverless, more goodness. So engineering kind of on the front lines here kind of making it happen. >>Yeah. So, uh, the question that our clients are asking us is how do these data center technologies moving over into cars, planes, trains, construction, equipment, industrial, right? And you know, maybe two decades ago it was called IOT. Uh, but we're not talking about just sensors, vertical lift aircraft, uh, software-defined cars, um, manufacturing facilities as a whole, you know, how are these data center technologies going to impact these companies? And it's not a architectural shift for say the Evie, the electric vehicle, many OEM, it's a financial transformation, right? Because if they can make their vehicle containerized, uh, if they can monitor the cars, behaviors, they can offer new types of experiences for their clients. So the questions we were asking ourselves is how do you get the cloud into the car? >>Yeah. And software driving, all that. So you've got software defined everything. Now you've got data-driven pun intended with the cars cloud everywhere. How does that look? What are the concerns, obviously, latency moving data around. They got outposts. Am I moving the cloud to the edge? How are you guys thinking? How are customers thinking through the architectural, I guess foundational playbook? Is there one? Yeah. >>I, you know, coming into this, I did ask my, my son, the question is hardware or software more important. And then he, you know, he's not, and he said, you know, we're coding our way out of hardware. It was very interesting insight software rules. That that is for sure. But when we're talking about physical products and these talking about trillions of dollars of investments going into green energy, uh, into autonomous driving into green aviation. So we're not, it's not just the matter of verse here. We're dealing real physical products. I think though the point for us as engineers or as an engineering businesses, how do you co-design hardware and software together? What are the questions you to ask about that machine learning model being moved over from AWS? For example, into the car, is the Silicon going to be able to support the inferencing rates that are required right. In real time and whatnot. So some of the things like that, >>Well, that's been a, it's been an age old battle between the idea that, uh, the flour that's nurtured in a walled garden is always going to be more beautiful than the one that grows out in the meadow. In other words, announcement, uh, at, in Adam's keynote, talking about advances in AWS Silicon. So what's your view on how important that is? You just sort of alluded to it as being important, the co-development of hardware and software together. >>Yeah. We're seeing product makers again, think, you know, anybody from a life sciences company building a digital therapeutics product, maybe a blood glucose monitor or, um, an automotive or even an aerospace, uh, going direct to Silicon asking questions around the performance of the Silicon and designing their experience around that. Right. So, uh, if they need a low latency, low power efficiency, green networks, they're taking those questions in-house or asking those questions in house. So, you know, AWS having a, sort of a portfolio of custom or bespoke Silicon now as part of the architectural discussion. Right? And so I look around here, I see a lot of developers who are going to have to get a little bit more versed in some of these questions around, you know, should I use an arm based chip? You know, do I use this Silicon partner? You know, what happens when I move it into the vehicle? And then I have over the air updates, how do I protect that code in an enclave in the car just to continue to use the so there's are a lot of architectural questions that I don't think software engineers typically ask when they're just dealing in the cloud. Uh, although at the end of the day over time, a lot of these will be abstracted from the developer to some degree, you know, that is just the nature of the game. >>It reminds me of the operating system theory of system software meeting hardware. And because you have software developers just want to code now, you're saying, well, now I'm responsible hardware. Well, not if it's programmer, was there a hard top two it's over, these are big questions and important ones I think is we're in a major inflection point, but it comes back down to, you mentioned aerospace space is the same problem. You can't send that break, fix engineer in space. Right. You've got software now. So you've got trust that security supply chain who's right. And who's doing the hardware now you've got the software supply chain. So a lot of interesting kind of, yeah. >>So you, you, you know, you check them off, back in into it, the supply chain problems with Silicon, and there are now alternatives to try and get around the bottlenecks using high-performance computers versus hundreds of ECS and a vehicle allows you kind of get away from the supply chain shortage. Uh there's you know, folks moving from one architecture to another, to avoid kind of getting locked in and then of course creating your own Silicon, or at least having more ownership over the Silicon. I think suffer defined systems, uh, are the way to go regardless of the industry. Uh, so you're going to make some decisions on performance, characteristics of the hardware, but ultimately you want a software defined system, so you can update it regularly. >>I was talking with doc some of the top hair executives. I talked to, um, the marketplace guys here, Deepak, uh, over at the, here at Amazon and containers comes up. You start to see a trend in containers where you see certified containers because containers are everywhere. You can put malware and containers. So, you know, think about like just hacking software. It's a surface area now. So you bring the software security model in there. So to see this kind of like certified containers, I can imagine certified infrastructure now because I mean, what's a processor, it's just a hardened top to a PC. Now you've got the cloud. If I have hardware, how do I know it's workable? How do I trust it? You know, how could it not be hacked? I don't want my car to be hacked and driven off the road. >>So, so, um, when you're dealing with a payment system or you're dealing with tick-tock different than when you're dealing with a car with life consequences. So we are very active in the software defined transformation of automotive. And it's easy to say, I'm just going to load it up with all this data center technology, but there's safety criticality issues that you have to take into considerations, but containers are well suited for that. Just requires some thought. I mean, my excitement, enthusiasm about this product engineering is if you just take any of these products and, and apply them into a product engineering context, there's so much invention and creativity can happen. Uh, but on the safety side, we're working through security enclaves using containers and hardware based roots of trust. So there's ways around, you know, malware and bad actors at the edge. Um, >>What's your, what's your take on explainable AI? Why got you might as well ask because this comes up a lot, explainable AI is hot in college right now, AI, that can be explained. It's kind of got some policy, uh, to it. What's your thoughts on this AI trend? Cause obviously it's everywhere. Um, I mean, what is explainable AI? Is that even real or how do you explain AI? Is that democratized? >>Yeah. Computer vision is a great example. I think to bring it to life I'm all of the audience probably knows this, but you could, you know, you can tell your kid that this is a cat once and they'll know every single cat out there is a cat, but if you, you, you need a thousands of images, uh, for a computer vision model to learn that this is a cat. And even, you know, you can probably give it an example, um, out of say a remote region of the world and it going to get confused. So to me, explainability is about adding some sort of certainty to the decision-making process. Um, and when there's a, some confusion, be able to understand why that happened. I think in, in automotive or any, even in quality assurance, being able to know that this product was definitively defective or this pedestrian definitively did cross the crosswalk or not. You know, it's very important because it could, you know, there are, there are consequences. So just being able to understand why the algorithm or the model said what it said, why did it make that judgment is super important, super important. >>So I've got to ask you now that we're here, re-invent from your engineering perspectives, you look at the landscape of AWS, the announcements. What, what, how do you think about it to other engineers out there trying to, uh, grok all the technology who really want to put innovation in place, whether it's creating new markets, new categories or innovating their existing business, how do you grab the class out and make it work for you? I mean, from an engineering standpoint, how do you look at AWS and say, how do I make this work better for me? >>Uh, so I mean, over the years, I, um, I think it's true. AWS has started to really look like a utility, you know, the days where it was called utility as a service. And, um, you know, I, I, I did attend a workshop on, I think it was called LightSail or something like that, but they are simplifying the way that you can consume this infrastructure to a degree that is somewhat phenomenal. Uh, and they're building any, yeah, they continue to expand the ecosystem. Um, so I mean, for me, it's, it's a utility. Uh, it's it's, it's, it's, it's, it's consumable. Uh, if you got an idea pick and roll your own. >>Okay. So back back to the, uh, the concept of AI and explainability, uh, one of my cars won't allow me to unlock certain functions because of the way that I drive. No one needs to explain to me why, because I know what I'm doing wrong, but I'm still frustrated by it. So that that's sort of leads to kind of the larger philosophical question to you about what you're seeing, where are we in this kind of leapfrog, constant pace of the technology exists, but people aren't culturally ready to accept it because it feels like right now to me that there isn't anything we can't do with cloud technology from a technical perspective, it can all be done. Swami's keynote today, talking about integrating all sorts of sources of data and actually leveraging them in the cloud. Um, technically possible yet 85% of it spend is still on prem. So, so what's your thought there? What are the, what are the inhibitors, what are the real inhibitors from a technology perspective versus the cultural ones? Uh, setting aside my lack of, uh, adherence to, uh, to driving lawful >>I industry by industry. I think in, um, you know, if you're trying to do a diagnostic on an MRI in an automated way, and there's going to be false positives, false negatives, and yes, we know that yeah, we know that there's going to be a physician participating in the final judgment call. Um, I think just getting a really good comfort level on the trustworthiness of these decision points, um, is really important. And so I don't blame folks for being reticent about, you know, trusting or, or asking some questions about, does this really work and are these autonomous systems as they become more and more precise, are they doing the right thing? Uh, I think there's research that has to be done on agency. You know, am I in patrol? What happened? Did I lose control? I think there's questions around handoffs, you know, and participation in decision-making. So I think just overall, just the broad area of trust and, uh, the relationship between the participants, the humans and the machines still. I think there's some work to do, to be honest with you. I think there's some work to do maybe in a manufacturing facility where everything's automated, you know, maybe it's a solved problem, but in an open road, when the vehicles driving, you know, in the middle afternoon, you know, you probably should ask some more questions. >>Well, I want to ask you what we got a couple of minutes left, real time data near real time, real time, always a big, hot topic. Seeing one more databases out there in the keynote today from Swami real-time are we there yet? How are we dealing with real-time data, software consuming the data? It comes to cars and things that are moving real time versus near real time. It could be life or death. I mean, this is big time. Where are we? >>So, um, I was trying to conduct a web conference. I won't tell the vendor because it has nothing to do with the vendor. Um, and I couldn't get a connection. I couldn't get a connection at reinvent. I just couldn't get it. I'm sorry guys. I can't get it. So I, you know, so we talk about real time talking about real-time operating systems and real time data collection at the edge. Yeah. We're there, we can collect the data and we can deploy a model in, you know, in the aircraft on the train to do predictive analytics. If we got to stream that data back home to the cloud, you know, we better figure out how to make sure we have a reliable and stable connection. 5g is a, you know, is, is, will be deployed, right? And it has ultra low latency, uh, and can achieve those types of, uh, requirements. But, uh, you know, it has to be in the right setting, right? That's to be the right setting and a facility, uh, very well controlled where you understand the density of the cell sites, small cells sound cells, and you really can deploy a, uh, a mobile robot, uh, wirelessly. Yes know, we can do that, but you know, kind of in, in, in other scenarios, we have a lot of ask that question about >>With the connections and making that false, huh? Well, he, thanks for coming on. Great insight, great conversation. Very deep, awesome work. Thanks for coming on and sharing your insights from cap Gemini. We're here in the cube, the worldwide leader in tech coverage live on the floor here at re-invent I'm John fare with Dave Nicholson. We write back.

(upbeat music) >> Okay, welcome back everyone to theCUBE's coverage of AWS re:Invent 2021. We're here live in Las Vegas for an in-person event. Of course, it's a hybrid event, virtual online. Many people online. A lot of people here on the event, a lot of action. cloud going next generation, mainframe transformation, more analytics, more chips, everything's faster and cheaper and getting better and better in the cloud. We've got the great coverage. We've got two great guests. We got Justin Hooper vice president of Global Operations Infrastructure Ingram Micro and JP Perot, EVP of Telecom Media and Technology and AWS executive sponsor for Atos. Gentlemen, thank you for joining me on theCUBE. >> Thank you. >> Thank you, glad to be here. >> So what is it about the conference so far? Pretty good, like a lot of people here? >> Super exciting. >> 27,000 people showing up. >> It's amazing. >> Real people not workers. >> Yeah, it feels almost normal. >> Yeah I can't believe the turnout. >> Got a great topic, you guys working together you got mainframe, you got analytics, transformation. Let's get into it. Let's start by introducing what you guys do, your company, and why you are here. JP, we'll start with you. >> Yeah, I can start. Okay, so yeah, so I'm leading, you know, in Atos all the cloud business and telecom media technology, Atos is a big company is a service and technology company, 11 billion Euro business, and we are leading all the transformation to cloud and also, all what is related to hybrid cloud transformation. Also with security. We are number two in the world in terms of security and cybersecurity. We have developed for so long lasting relationship with AWS. We have been an advanced technology partner of AWS for now many years, since 2013. And we have developed a specific program, you know, regarding manufacturing transformation and mega trends. So this is why we are super excited to be here with you Justin today, thank you, by the way having Ingram Micro with us, Justin. >> I appreciate it, it's good talking to you. Good to be here. >> And I'm Justin Hooper, I work for a Ingram Micro. I run their Global Infrastructure and IT operations. Ingram Micro is one of the world's largest technology suppliers, technology solutions, and cloud platform and services. >> Well, great for the intro. Thanks for that set up, a lot of action going on. You guys have recently purchased, you guys got the transformation in the cloud. What is the movement to the cloud? Take us through the current situation. >> Yeah, we see, a big acceleration and especially due to COVID situation. We have seen acceleration of transformation to cloud. There is a lot to do, a lot to do because many business critical application, which have not been transformed. And also, especially all the applications which are sitting on top of mainframe that is why executive discussion we are with Ingram at the moment is how we can help Ingram with some of the applications that are on mainframe to transform and design the future. >> Justin, take us through the transformation that they're helping you with, what's the key challenge? What problem are they solving? Take us through the specifics. >> Yeah, it's interesting because I'm actually a lover of the mainframe, I think most of the people at AWS would think, the mainframes, didn`t they put the rockets on the moon. That's old technology, but mainframes are still fantastic platforms. We, have great success, great resiliency with Atos . We are on the most modern chips, but there are a lot of restrictions. You know, you really have to size your mainframe for your peak workloads. You don't have the ability to separate segments, scale horizontally, and then there are really nuanced. Like it's hard to get resources that know mainframes, to be honest with you, it is just, there's a people issue there industry-wide, and we're not different than any other company and compete for resources, both on the system side and on the programming side. And we really want to look at how we can make a massive leave, if we're going to leave the mainframe, how do we start a journey where we can end up really being able to take advantage of horizontal scalability, the ability to have a utility compute model where we're really paying as we go, because that is the opposite how the mainframe model works today. >> Talk about the refactor 'cause I know I've covered a lot of mainframe stuff with IBM in the past and how banks are still using it. Everyone is they're real applications. They're mission critical. How are they integrating into the digital transformation. Containers, kubernetes are hot right now. You're starting to see a lot more integration. How do your customers and how do you guys see refactoring happening? I can see the integration, but that as the refactoring come in. >> There's really what we've learned with our partnership is there are really a couple of ways to do the refactoring. You can convert your old Cobalt code to something else like Java. And there are tools and companies out there that do that. Or you can really build a plan where you can effectively emulate your mainframe on commodity computing and through a relatively deep analysis with Atos, the recommendation that we're looking at is that ability to first get off of the hardware, get off of that reliance on the platform, but not jump all the way to modify your code to Java. There's not a lot of value in going from Cobalt to Java, for example, if you're not making improvements in your programs, adding business capabilities. So the journey starts with get off the hardware, but then it allows you to go and say, we are going to break up those complex programs. We are going to separate the data differently. And once you do that, you can start to take advantage of containers and start to separate yourself even more and really get into the cloud. But, there are ways to piece your way through that. >> You know that's really good insight, JP, I'd love to get your reaction on this too, because what Justin's getting at is what we hear a lot from experienced CIOs of large companies that have a lot of existing stuff. And the theme is and the word they use is you don't want to touch the white hot core. Meaning it's so mission critical that if you mangle it too hard, touch it too hard a lot of bad things happen. So this idea of push things out to the cloud that around the edges, and then work your way slowly in is a risk management and practical approach. >> Not exactly, you said it right, its exactly a risk management So, and Justin explain it different factors, which come to the end point in terms of decision there is one issue regarding competencies, because their lack of competency in the markets. There is what kind of business critical apps you have. There is a transformation as such, you know, as Justin explain you can record, or you can move, you know, to a different platform. So, each time it's a program, it's a program and analysis that we do with our customer advising the customer about, hey, based on your critical application, what is the right journey, what is the right transformation to do the right risk management? >> Justin you're taking the hot core I saw you nodding your head. You're like, yeah, what's your take on that? >> Well, yeah, I agree with you. And that fear, uncertainty and doubt it's kept people on the mainframe for a really long time. The technology has caught up and the expertise where just as JP said, you've got to be really careful in the way you plan it, and you've got to make sure that you can always get back. And so the approach that we're looking at taking is, you're able to accommodate more risk if there's an easy roll back plan, and some of the new new technologies and processes are going to allow that, so, you know, if I screw this up, I get to go find a job someplace else. So I'm aware of the white hot core, but I am confident it can be done. >> Yeah, and then technology, if you don't have to kill the old to bring in the new, you can do both, and I like your approach. I think that's a success path that people are talking about it's well documented. But at the end of the day, we're back in distributed computing, I mean, I want to get this at the end, but I want to give you guys some time to think about it. As cloud becomes everywhere as Adam Selipsky talks about, it's not just about mainframes, this it's a distributed computing paradigm. So we're going to come back to that, but let's get into the SAP Redshift `cause I think that's something that you guys are working on I think that's worth calling out here. Analytics is huge, tell us what's going on there, how you guys are working together on that. >> Yeah, so we have designed a high level of competency around SAP, and especially the migration and the SAP Redshift. So we have designed this program also with AWS and is something we are discussing at the moment also with Ingram. So we see an acceleration of this trajectory. It has been also highly pushed by SAP as well. And also we are one of the strongest partner of SAP and we see many many customers engage into this transformation at the moment. >> The cloud really gives you a lot of advantages when you're doing migration, especially around a pre-existing software, like SAP was pretty big, complex mission critical So you can throw compute at it, a lot of cool capabilities. >> Yeah, that's true, but you need, you still need to configure a lot of things as well, because it's, you need to customize and you have to really fine tune, you know, what is it, what is going to be available to the customer needs and to what you need in your company as well. >> Okay, lets get back to what Justin was saying about emulation, I mean, I can run SAP (laughs) on Amazon. I mean, we've talked about it, I wrote a story about this prior to the event called Superclouds. You can build these super applications that combine things that you never would have thought was possible. SAP running on Amazon or Ford can come to Redshift when you need it, so you have a lot more flexibility. This is now the new normal. >> Correct. >> Correct. Or Justin maybe you want also to comment on that, you know? >> You know, the great thing about being on Redshift is we pick that as a platform for our data warehouse a number of years ago, and there were basically analytics capabilities, but what we're seeing a lot here at re:Invent is as Amazon is catching up with their out of the box ML and AI capabilities in Redshift. So it feels good that we pick the platform that they're growing the capabilities in right, as we're advancing out of more of the traditional analytics and trying to go to that machine learning. And one of the things that we work at the Atos on is migrating off of SAPBW and saying, maybe we don't need that as a data and reporting platform, if we're solid with Redshift and we certainly don't need both. So we're working with them to look at the case to move all the way to Redshift, and then we can run our analytics and build the ML in that. >> And you know, that was a big theme in the keynote. This purpose-built capabilities, it's almost like having, you know, if you're building a building, you got iron steel girders made for you. You got this now better value in the platform to build on. This brings up the notion of distributed computing. >> JP: Yeah. >> In a way there's the same game, different generation. I mean, isn't it? You've got to integrate this still transformations inflection points, this is current. I feel like this now more than ever is a time where you can actually roll it all together with a little help from your friends or if Amazon's got somebody, you know, who want to reinvent the wheel. What's your reaction to that? 'Cause we've seen the movie before, when it's hard. Now, it seems easier, maybe its not. >> Yeah, we see three layers co-existing in more more. We see that, see application on data will be spread over three dimensions there will be edge computing there will be private cloud and there will be public cloud. And we see more more pressure in the direction that many customers are saying, hey, where should I put my data? This spot will go on and be processed at the edge, this spot will be process in the public cloud. There is also one of the capability where we in Atos we are able to advise customers about what is the best way to process your data if you have a lot of latency, you can process at the edge. You know, there's less equipment, you can process the public cloud. So, we see this coexistence of model. >> Justin what's your take on this distributed computing throwback concept, because look at the rise of companies like Snowflake. Where'd they come from? They're on Amazon, they pick the cloud. Now they're on going to other clouds. You can build a supercloud. You can actually build this out now faster. What's your take? >> Yeah, I, my take is that it's a pendulum and it swings back and forth, and like you said, there was client server and then everything was web-based. And a lot of things look a lot like the mainframe, put everything in the cloud and then attached to it. And then all of a sudden, you know what? We need edge computing, pull some stuff back out of the cloud and put it where we need it. So, it's going to continue to evolve. What I have noticed that I like more is, the major home one swings and statements like I want to get out of the data center business and go to the cloud, I hear those less. And people are realizing there's there's hybrid. There's purpose build computing like you said, and we need to make sure that we're putting our data where it needs to be, putting our compute where it needs to be. And that's going to change on our customer base and evolving technologies 5G is changing the whole world around edge computing. So I'm enjoying the ride, I'm glad I'm in technology because I get to move with the ebbs and flows, but I don't think we're ever going to land. I think it's going to keep moving. >> Yeah that's a totally fair point where it's fun as a technologist, but you're right. If you're operating with cloud, it doesn't matter if you're on premises or edge or public cloud, it's the same thing (laughs). >> Justin: Yeah. >> It's just pick your, pick, your use case. >> Justin: Right, your use case- >> I want a low latency at the edge. I'm not going to move my data, send it to cloud. Of course, we're going to leave it there. >> Yeah. >> If you're on premise before- >> We've already move workloads back and forth. And a lot of companies are doing that too, you know? >> I think that's what they're getting at when they talk about cloud everywhere. I think that's their way of saying, okay, hybrid is real. They won't ever say multicloud though. (all laughing) Not yet. (all laughing) >> Won't hear that here. >> All right, quick summary. What do you guys do? And what's the future hold for the relationship. You guys got a good thing going on? Take us through what's the future look like. >> Yeah, for me it's a big thank you for the partnership with Ingram. So we are extremely excited by what we can do for you. And in terms of advising your transformation and, you know, I hope that you get the right service and the right advice, you know, from Atos. >> Yeah, it's been great. We, we've appreciated. We've been, we started as a mainframe customer and now they're helping to advise on how we could get off the mainframe. I mean really cannibalizing one of the other areas there in the spirit of evolving and partnership, and you guys are bringing a ton of expertise and the way you guys attack the account and we centralized through our account team is very helpful. You're very aware of what's going on on all sides of the business. >> Well, congratulations. >> That's a big part of the theme, the keynote today on, on ad about mainframe transmission. But at the end of the day, it's about modern infrastructure, modern application development. >> Justin: Absolutely. >> Getting out, having set the table for the next generation. >> JP: Yeah. >> Thanks for coming on theCUBE and you guys want to get a quick plug in real quick for the company talk about Atos and Ingram. Give a quick plug for what you guys are working on. >> Sorry- >> Give a quick plug about what you`re working on. Give a quick commercial one minute about the company. >> One minute. >> Yeah. >> At Atos we're really transforming or leading the industry in terms of secured transformation to cloud security will be more and more important as data is everything about where is the value. So we are really making sure that our customers, they get to maximize, they can maximize the value around data transformation to cloud in a secured way. >> Justin, JP, thanks for coming on theCUBE. Really appreciate the insights. Don't touch the hot core and make, take your time. Have a good time, you're watching theCUBE, the official broadcasting of AWS re:Invent leader in tech coverage, theCUBE. Thanks for watching. (upbeat music)

>> Narrator: From around the globe, it's theCUBE, covering Fortinet Security Summit, brought to you by Fortinet. >> Welcome back to theCUBE, Lisa Martin here live in Napa Valley at the Fortinet Championship. This is the site of kickoff to the 2021-22 FedEx Cup regular series. We're here with Fortinet and we're here with one of our distinguished alumni, John Madison, the CMO and EVP of products. John, it's great to see you in person. >> Yes, Lisa it's been a while. >> It has been a while. >> Good to be back here, live. >> I know, you're not on Zoom, you're actually right six feet across from me. >> Yep, look, yes, it's definitely physical. >> It does, talk to me about the PGA and Fortinet. What are some of the synergies? >> There's a lot. I think one of the biggest ones is the culture of the two companies. So I mean, PGA tour, I think they've donated almost $3 billion to charities over the last 15 years, 20 years and we're the same. We would definitely want to give back to the community. We want to make sure we're providing training and education. We're trying to re-skill some of the veterans, for example, over 2000, also women in technology, you may have heard one of the key notes today about that, attempts from a education and training perspective. So there's a lot of synergies between the PGA Tour, and Fortinet from a cultural perspective. >> I love that. Cultural synergy is so important but also some of the initiatives, women in tech, STEM, STEAM, those are fantastic. Give our audience a little overview of what's going on here. We've got over 300 partners and customers here. What are some of the key themes being discussed today? >> Yeah, we're going to try and keep it smaller, this event. We don't want 10,000, 20,000 people. We'll keep it smaller. So about 300 customers and partners, and what we want to do is bring together, you know, the top people in cybersecurity and networking, we want to bring in customers so they can net with each other, we want to bring the partners here. And so, what you're going to see is you can see the tech expo behind you there, where people are talking technology. Some of the keynotes focus on areas like ransomware, for example, and cyber security in different industries. So definitely it's a smaller gathering, but I think it's very focused on cybersecurity and networking. >> Well, that's such an important topic these days. You know, you and I have spoken a number of times this summer by Zoom, and talking about the threat landscape and the changes-- >> Yep. >> And the work from anywhere. When you and I spoke, I think it was in June, you said 25% we expect are going to go back to the office, 25% permanently remote and the other 50 sort of transient. Do you still think given where we are now in September that that's still-- >> Yeah, I'm going to modify my prediction a bit, I think it's going to be hybrid for some time. And I don't think it's just at home or not at home or at work or not at work, I think it's going to be maybe one or two days, or maybe three days versus five days. And so, we definitely see the hybrid mode of about 50% for the next couple of years at least. I think that, you know, ransomware has been in the news a lot. You saw the Colonial, the ransomware has increased. We did a threat report recently. Showed about a 10X increase in ransomware. So, I think customers are very aware of the cybersecurity threats. The damage now is not just sucking information out and IP, it's causing damage to the infrastructure. So definitely the, you know, the attack surface is increased with people working from home, versus in the office, and then you've got the threat landscape, really, really focused on that ransomware piece. >> Yeah, ransomware becoming a household word, I'm pretty sure even my mom knows what that is. And talking about the nearly 11X increase in, what was that, the first half of 2021? >> Yeah, over the last 12 months. And I think what's also happened is ransomware used to be a broad attack. So let me send out, and see if I can find a thousand companies. Again, you saw with the Colonial attack, it's very targeted now as well. So you've got both targeted and broad ransomware campaigns going on. And a lot of companies are just rethinking their cybersecurity strategy to defend against that. And that work from home component is another attack surface. So a lot of companies that were operational technology companies that had air gaps and people would come to work, now that you can remotely get into the network, it's again, you can attack people at home, back into the network. >> Is that a direct correlation that you've saw in the last year, in terms of that increase in ransomware and this sudden shift to working from home? >> Well, I also think there's other components. And so, I think the ransomware organizations, the gangs, could use crypto more reasonably than checks and dollars and stuff like that. So they could get their money out. It became very profitable versus trying to sell credit card data on the dark web. So you saw that component. You also saw, as I said, the attack surface be larger for companies, and so those two things unfortunately have come together, and you know, really seen an exponential rise in attacks. >> Perfect storm. Let's talk about some of your customer conversations and how they've changed and evolved in the last 18 months. Give me a snapshot of when you're talking with customers, what are some of the things that they're coming to you for help, looking for the most guidance? >> Yeah, well I think, you know, the digital innovation transformation is almost accelerated because of, you know, COVID. They've accelerated those programs, especially in industries like retail, where it becomes almost essential now to have that digital connectivity. So they can't stop those programs. They need to accelerate those programs, but as they move those programs faster, again they expand their attack surface. And so, what I'm definitely seeing is a convergence of traditional kind of networking, connectivity, and cybersecurity teams like the CIO and the CSO working on projects jointly. So whether it be the WAN connectivity, or whether it be endpoint, or whether it be cloud, both teams are working much more closely going forward. >> Synergies there that are absolutely essential. Talk to me about what you guys announced with Linksys yesterday, speaking of work from home and how that has transformed every industry. Talk to us about the home work solution powered by Fortinet. >> Yeah, well, we definitely see work from home being there for some time. And so the question is, what do you do there? So I think initially 18 months ago, what happened was companies turned on their, what they call a VPN, which gives them an encrypted access when they went from 5% to a 100% people on the VPN. I speak to customers now and they're saying, that was kind of a temporary solution. It puts an end point security there. It was kind of temporary and now I need a longer-term solution because I can see this at least 50% for the next two years, being this hybrid work from home, and some of them are saying, "Well, let's look at something. Let's try and take the best of enterprise networking and security, and then try and match that with an easy to set up Wi-Fi or routing system." So the two companies, you know, have come together with this joint venture. We're taking Linksys technology from an ease of use at home, it's very simple to set up, you can do it on an app or whatever. And then we integrate the Fortinet technology inside there from a security and enterprise networking. The enterprises can manage themselves, the enterprise component and the consumer can manage their piece. What's very important is that separation as well. So the privacy of your home network, and then to make sure the enterprise piece is secure, and then also introducing some simple, what we call quality of service. So for a business person, things like Teams or Zoom as preference over some of the gaming and downloads of the family. So I think it brings the best of both worlds: ease of use and enterprise security together. >> I'm sure the kids won't like that it's not optimized for gaming, but it is optimized for things like video conferencing which, in the last year we've been dependent on for collaboration and communication. Tell me a little bit about the tuning for video conferencing and collaboration. >> Yeah, so we announced both Zoom and Microsoft Teams, probably the two biggest apps, which I use from a work from home business perspective. And definitely if you've got a normal system at home and your kids they've been downloading something, a new game or something like that, they can just take the whole bandwidth. And so the ability to kind of scale that back and make sure the Zoom meeting or the Teams meeting is first priority, I think is very important, to get that connectivity and that quality of service, but also have that security component as well. >> Yeah, the security component is increasingly important. Talk to me about why Linksys, was COVID the catalyst for this partnership? >> Well, I think we looked at it and we have our own work from home solutions as well. I mean, our own gear. We definitely wanted to find something where we could integrate into more of a ease of use solution set. And it just so happened we were speaking to Linksys on some other things and as soon as we started talking, it was very, very clear that this would be a great relationship and joint venture and so we made the investment. Not just "here's some of our code", we made a substantial investment in Linksys and yeah, we see some other things coming in the future as well. >> Can you talk to me a little bit about what the go to market will be, how can enterprises and consumers get this? >> Yeah. So it's more of an enterprise sale. I know some people think Linksys, they think consumer straight away. For us, this is a sale to the enterprises. So the enterprises buy it, it's a subscription service. So they just pay a monthly fee and they can have different levels of service inside there as well. They will get, you know, for each employee they'll get one, two or three nodes. And then so the, so the enterprise is paying for it, which I think will help a bit and they will manage it through their system, but the consumer will get this kind of a game that's very easy to use, very high speed connectivity, mesh technology. So yes, Linksys will sell some of it as well. But I think, you know, actually Fortinet will be the major kind of go to market because of our 500,000 business customers we have out there. >> Right. And your huge partner network. >> Yes. >> So let's talk about, give me a little bit of a view in terms of the benefit that IT will get leveraging the Linksys home work solution. I imagine that centralized visibility of all the devices connected to the corporate network, even though, wherever the devices are? >> Yeah, it actually extends the corporate network. So not in this initial release, in the second release. In the first release, they can go to a cloud portal and they can manage what they can manage from an enterprise perspective. The employee can go to the same portal, but gets a different view, can manage their piece. In the second release, we'll actually have support in our management systems. So if you're an existing Fortinet customer and you've got our management systems and say you've got, I don't know, 250 sites, and you're managing some of our firewalls or SD WAN systems, You'll be able to see all the employees links as systems as well, in that same management system. But again, there's a separation of duty and privacy where they can just manage the enterprise components, not they can't see the traffic from the employees' side, from the non-business transactions. >> Good. That privacy is key there. Do you think that in a perfect world, would help quiet down some of the perfect storm that we're seeing with ransomware and this explosion, this work from anywhere, work from home, going to be persisting technologies, like what you're doing with Linksys, is going to help make a dent in that spike? >> I think it's a component. So for us, the long term strategy for users, end point, this kind of Linksys component is an element. We also feel like there needs to be a transition of VPN technology into zero trust. So you're limiting again, the access to applications versus the network. And then definitely the third component would be a technology like EDR, which is more behavioral-based versus signature-based. And so you bring all those three together. Absolutely we'll make a dent in ransomware because you're just reducing the attack surface greatly, but also scanning the technology to make sure if you see something, you can act straight away. >> And then pair that with what you guys are doing and the investment that Fortinet's been making for a while in training and helping to fill that cybersecurity skills gap, which is growing year on year. >> Yeah. I speak to a lot of CSOs and CIOs and they go "What's the latest technology? What can you do next?" I say, well, the most important thing you can do is train your people. Train them not to click on that phishing link, right? Because still our numbers are around 6% of employees click on things and it doesn't matter what company you are. And so the education and the training is the one of the core, the most basic steps. We're introducing what we call an IT awareness program as part of NSC, which allows companies to download some tools. And they'll try some phishing emails that go out there, they'll see the response, see how they can (mumbles). So I always say that the people, the social engineering is the first step to try and fix and reduce. That's the biggest attack surface you will have. >> It's getting so sophisticated and so personalized. I mean I've seen examples with training that I've done for various companies where you really have to look 2, 3, 4 times at it and have the awareness alone to know that this might not be legitimate. >> Yeah, especially when people are just clicking on more things because they're going to more places. And so you have to be very careful. You can stop a bunch of that with some rule sets. So the systems, but if they're faking the domain, spear phishing, where they know exactly the context of where the email's coming out, it's hard, but you've just got to be very, very careful. If in doubt don't click on it. >> I agree if in doubt, don't click it. Well, John, it's always great talking to you. Exciting to hear the growth of Fortinet, what you're doing with PGA tour, the synergies there, the cultural synergies and the growth in customers and partners, lots of stuff to come. Can't wait till our next conversation, which I hope is also in person. >> Yes, yes, yes, for sure. You know, I think this is a great venue in that it's- as you can see it's open, which helps a lot. >> Yeah. >> It's not far from our headquarters, just down the road there, we've committed to this event for six or seven years. And so this is our first time, but definitely we're hoping to get out a bit more as we go forward. >> Excellent. I'm glad to see to see a company like Fortinet taking the lead and you look like you're dressed for golf. You said you have meetings, but I'm going to let you go because you probably have to get to that. >> I have a few more meetings. I wish they would leave a little gap for some golf. I'll try and work one as we go forward. >> Yeah. Anyway, John, thank you for joining me, great to see you. For John Madison, I'm Lisa Martin. You're watching theCUBE from the Fortinet Championship Security Summit in Napa. (Upbeat music)

(bright upbeat music) >> Announcer: From theCUBE Studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is theCUBE Conversation. >> Well happy New Year, one and all welcome to 2021 in Cube Conversation continuing our ongoing series. I hope your New Year is off to a great start. I know that the end of 2020 was a very good one for Ivanti. And Jim Schaper, the CEO is going to join us to talk about that as is Nayaki Nayyar, or rather the EVP and the Chief Product Officer. So Nayaki and Jim, good to have you here with you on theCUBE and Happy New Year to you. >> Thank you, John. Happy New Year to you. 2020, I think for a lot of us couldn't get out of here quick enough. Although we had some great things happen to our company at the very end of the year. So anxious to talk to you about it and we appreciate the opportunity. >> You bet. So we're talking about two major acquisitions that you made that both closed near the end of the year back in December, not too long ago. One with Pulse Secure, the other with MobileIron. Two companies that provide you with additional expertise in terms of mobile security and the enterprise security space. And so Jim, if you would, let's first talk about just for the big picture, the acquisitions that were made and what those moves will do for you going forward. >> Okay, great, John. We closed both acquisitions interestingly enough, on December 2nd. We've been fortunate to have them part of our company now for about the last 30 days. One of the things that we made a decision on a number of months ago was that we had a real opportunity in the markets that we serve to really build our business more quickly through a series of acquisitions that strategically made sense for us, our investors and more importantly our customers. And that really is why we chose MobileIron and Pulse, for different reasons but nonetheless all very consistent with our longterm strategy of securing the end points on every network, in every location around the world. And so consequently, when you think about it and we've all witnessed here over the last 30 days or so, all of the security breaches, all of the things that go along with that, and our real focus is ensuring that every company and every individual on their network, outside their firewall, inside their firewall, on any device is secure. And so with these two particular acquisitions, in addition to the assets that we already had as a part of Ivanti, really puts us in a competitively advantaged position to deliver to the edge, and Nayaki will talk about this. The ability to secure those devices and ensure that they're secure from phishing expeditions or breaches or all of those kinds of things. So these two particular acquisitions really puts us on the map and puts us in a leadership position in the security market. So we're thrilled to have both of them. >> Before I go off to Nayaki, I want to follow with the point that you've made Jim talking about security breaches. We're all well aware. You know, the news from what we've been hearing out from the federal level about the state actors and the kind of these infiltrations of major US systems if not international systems. Some Interpol data, I read 207 some odd percent increase in breaches just in the post COVID time or in the COVID time, the past year. That gets your attention, does it not? And what does that say to you about the aggressive nature of these kinds of activities? >> Well, that they're getting more sophisticated every day and they're getting more aggressive. I think one of the most frightening conversations I had was a briefing with our chief security officer about how many attempted breaches of our network and our systems that he sees every single day. And we're able to identify what foreign actors are really trying to penetrate our systems or what are they trying to do. But the one thing I will leave you with is they're becoming much more sophisticated, whether you're inside the firewall or whether you're on your iPhone as an extension of the network, there the level of sophistication is startling. And unfortunately in many cases, as evidenced by the recent breaches, you don't even know you've had a breach for could be months, weeks, days. And so what damage is done. And so as we look forward, and as Nayaki kind of walks you through our product strategy, what you're going to hear a lot of is how do we self protect? How do we self-learn the devices at the edge, on the end of the networks, such that they can recognize foreign actors or any breach capability that somebody is trying to employ? And so, yeah, it's frightening how sophisticated and how frequent they have become. >> I think the one thing that really struck me as I read about the breaches was not so much the damage that has been done, but the damage that could be done prospectively and about which we have no idea. You don't know, it's like somebody lurking in your closet and they're going to stay there for a couple of months and wait for the time that maybe your guard is even more down. So I was, that's what shocks me. And they Nayaki, let's talk about your strategy then. You picked up obviously a couple of companies, one in the, kind of the enterprise IT space. Now the one in the VPN space, add into your already extensive portfolio. So I imagine from your office, wearing the hat of the chief product officer, you're just to look in your chops right now. You've got a lot more resources at your disposal. >> Yeah, we are very very busy John, but to Jim's point, one of the trends we are seeing in the market as we enter into the post COVID era, where everyone is working from anywhere, be it from home, be it from office, while on the move, every organization, every enterprise is struggling with this. What we call this explosive growth of devices. Devices being mobile devices, client-based devices, IoT devices, the data that is being generated from these devices, and to your point, the cybersecurity threats. It is predicted that there has been 30000% increase in the cybersecurity threats that are being targeted primarily at the remote workers. So you can imagine whether it's phishing attacks, malware attacks, I mean just an explosive growth of devices, data, cybersecurity attacks at the remote workers. So organizations need automation to be able to address this growth and this complexity which is where Ivanti's focus in discovering all the devices and managing those devices. So as we bring the MobileIron portfolio and Ivanti's portfolio together, now we can help our customers manage every type of devices be it Windows devices, Mac devices, Linux, iOS, Android devices, and secure those devices. The zero trust access that users need, the remote users need, all the way from cloud access to the endpoint is what the strength of both MobileIron and Pulse brings to our entire portfolio holistically. So we are truly excited for our customers. Now they can leverage our entire end to end stack to discover, manage secure and service all those devices that they now have to service for their employees. >> Explain to me, or just walk me through zero trust in terms of how you define that. I've read about trust nothing, verify everything, those kinds of explanations. But if you would, from your perspective, what does zero trust encompass, not only on your side, but on your client's side? Because you want to give them tools to do things for themselves to self heal and self serve and those kinds of things. >> So, zero trust is you don't trust anything. You validate and certify everything. So the access users have on your network, the access they have on the mobile devices, the applications they are accessing, the data that they are accessing. So being able to validate every access that they have when they come into your network is what the whole zero trust access really means. So, the combination of Ivanti's portfolio and also Pulse that zero trust access all the way from as users are accessing that network data, cloud data, endpoint data, is where our entire zero trust access truly differentiates. And as we bring that with our UEM portfolio with the MobileIron, there is no other vendor in the market that has that holistic offering, internal offering. >> I'm sorry, go ahead, please. >> It's interesting, John, you talk about timing is everything, right? And when we began discussions with MobileIron, it was right before COVID hit. And we had a great level of expertise inside the pre-acquisition of Ivanti to be able to secure the end points at the desktop level. But we struggled a bit with having all of the capabilities that we needed to manage mobile devices and tablets and basically anything that is attached to the network. That's what they really brought to us. And having done a number of acquisitions historically in my career, this was probably the easiest integration that we had simply because we did what they didn't do and they did what we didn't do. And then they brought some additional technologies. But what's really changed in the environment because of this work from home or work from anywhere as as we like to articulate it, is you've got multiple environments that you've got to manage. It isn't just, what's on the end of the VPN, the network, it's what's on the end points of the cloud. What kind of cloud are you running? You're running a public cloud, you're running a private cloud. Is it a hybrid environment? And so the ability to and the need to be able to do that is pretty significant. And so that's one of the real advantages that both the Pulse as well as the MobileIron acquisitions really brought to the combined offering from a product standpoint. >> Yeah, I'd like to follow up on that then, just because the cloud environment provides so many benefits, obviously, but it also provides this huge layer of complexity that comes on top of all this because you just talked about it. You can have public, you can have hybrid cloud, you can have on-prem, whatever, right? You have all these options. And yet you, Ivanti, are having to provide security on multiple levels and multiple platforms or multiple environments. And how much more complex or challenging is your mission now because of consumer demand and the capabilities the technology is providing your clients. >> Well, it's certainly more complex and Nayaki is better equipped to probably talk in detail about this. But if you just take a step back and think about it, you think about internet of things, right? I used to have a thermostat. And that thermostat control was controlled by the thermostat on the wall. Now everything is on WiFi. If I've got a problem, I had a a problem with a streaming music capability which infected other parts of my home network. And so everything is, that's just one example of how complicated and how wired everything is really become. Except when it comes to the mobile devices, which are still always remote. You've always got it with you. I don't what it was like for you, John, but you know, historically I've used my phone on email, texts and phone calls. Now it's actually a business tool. But it's a remote business tool that you still have to secure, you still have to manage and you still have to find an identify on the end of the network. That's where we really come into play. Nayaki, anything you want to add to that? >> Yeah, so, to Jim's point, John, and to your question also, as customers have what we call the multi-cloud offering. There are public clouds, private clouds, on-prem data centers, devices on the edge, and as you extend into the IOT world, being able to provide that seamless access, this is a zero trust access all the way from the cloud applications to the applications that are running on-prem, in your data centers and also the applications that are running on your devices and the IoT applications, is what that entire end to end zero trust access, is where our competitive strength resides with Pulse coming into our portfolio. Before Ivanti didn't have this. We were primarily a patch management vendor in the security space, but now we truly extend beyond that patch to this end to end access all the way from cloud to edge is what we call. And then when we combine that with our UEM portfolio in our endpoint management with MobileIron and also service management, that convergence of positive three pillars is where we truly differentiate and compete and win in the market. >> Nayaki, how does internet of things factor into this? Cause I look at sensor technology, I'm just thinking about all the billions of what you have now, right? With whether it's farming or agricultural inputs, business inputs, meteorological, or whatever. I'm sure, you're considering this as well as part of a major play of yours in terms of providing IoT security. How more proliferated is that now and how much of that is kind of in your concern zone you might say? >> Yeah, absolutely. So, just taking these trends we have in managing the end points, we will extend that into the IoT world also. John, when we say IoT world, in an industry where the devices are like healthcare devices. So, stay tuned, in January release we'll be releasing how we will be discovering managing and securing for the healthcare devices like Siemens devices, Bayer devices, Canon devices. So, you're spot on how we can leverage the strength we have in managing end points. Also IoT devices, that same capabilities that we can bring to each of the industry verticals. Now we're not trying to solve the entire vertical market but certain industry verticals where we have a strong footprint. Healthcare is a strong footprint for us. Telcos is a strong footprint for us. So that's where you will see us extending into those IoT devices too. >> Okay, so, in going forward, Jim, if you would just, let's talk about your 2021 in terms of how you further integrate these offerings that you've acquired right now. All of a sudden you've got 30 days of, you know, which is snap of a finger. But what do you see how 2021 is going to lay out, especially with distributed workforces, right? We know that's here. That's a new normal. And with a whole new set of demands on networks and certainly the need for security. >> That's exactly correct, John. I mean, everything is changed and it's never going back to the way it was. You know, everybody has their own definition of the new normal. I guess my definition is at some point in time when things do return to some form of normality, a portion of our workforce will always work from home. To what degree remains to be seen. I don't think we're different from virtually any other industry or any other company. It does put increased demands ,complexity and requirements around how you run your internal IT business. But as Nayaki talked about kind of our virtual service desk offering where you're not going to have a service desk anymore. It's got to be virtual. Well, you have to be able to still provide those services outside of your normal network. And so that's going to be a continued big push for us. I'm incredibly pleased with the way in which the employee bases of the acquired companies have really folded in and become one with our company. And I think as we all recognize cultural differences between organizations can be quite significant and an impediment to really moving forward. Fortunately for us, we have found that both of these organizations fit really nicely from an employee, from a values perspective, from a goals and objectives perspective. And so we did most of the heavy lifting on all the integration shortly after we closed the transactions on the 2nd of December. And so we've moved beyond what I would call the normal kind of concerns and asked around what's going to happen in this and that. We're now kind of heads down in what's the long-term integration going to look like from a product standpoint. We're already looking at additional acquisitions that will continue to take us deeper and wider into our three product pillars, as Nayaki described. And that'll be an ongoing kind of steady dose of acquisitions as we continue to supplement our organic growth within organic growth. >> But you've got to answer my question. I was going to ask you, you founded the company four years ago. There were two big acquisitions back in 2017. We waited four years Jim, until you dip back into that pole again. So the plan, maybe not to wait four years before moving on. >> No trust me, you won't be waiting another four years. Now you've got to bear in mind, John. I wasn't here four years ago. >> That's right, okay. Fair enough. That's okay. I want to thank you both for the time today. Congratulations on sealing those deals back in December and we certainly wish you all the best going forward. And of course, a very happy and a very safe new year for you and yours. >> Same to you, John. Thanks so much for the time. And so it was a pleasure to spend time with you today. >> Thank you, John. Happy New Year again. Thank you. Thank you. (upbeat music)

>> Narrator: From theCUBE Studios in Palo Alto and Boston connecting with thought leaders all around the world, this is theCUBEConversation. >> Hey, welcome back everybody Jeffrey here with theCUBE we're in our Palo Alto Studios the calendar has turned to late September I still can't believe it. We're still getting through the COVID issue and as we've seen in the news companies are taking all different types of tacts and how they're announcing kind of their go forward strategy with the many of them saying they're going to continue to have work from home or work from anywhere policies. And we're really excited to have our next guest from Citrix. He's Tim Minahan, the EVP of Strategy and the CMO of Citrix, Tim great to see you. >> Jeff, thanks for having me. >> Yeah so love having you guys on we had Tamara on and Amy Haworth this back in April when this thing was first starting and you know we had this light switch moment and everyone had to deal with a work from anywhere world. Now, it's been going on for over six months, people are making announcements, Google, Facebook, Twitter I'm out in the Valley so a lot of the companies here locally saying we're probably not going to have you back for a very long period of time. You guys have been in the supporting remote workers for a really long time, you're kind of like Zoom right place, right time, right market and then suddenly this light switch moment, it's a whole lot more important than it was before. We're six months into this thing what can you share that you've seen from your customers and kind of the transition that we've gone from kind of the shock and awe back in March to now we're in late September almost to October and this is going to continue for a while. >> Yeah, Jeff well, if there is any silver lining to the global crisis that we're all living through, it's that it has indeed caused organizations in all industries really to accelerate their digital transformation and to rethink how they work. And so at Citrix we've done considerable crisis scenario modeling. Engaging with our own customers, with government officials, with influencers around the globe really to determine how will the current environment change, cause companies to change their operating models and to prioritize their IT investments. And it really boils down to while there's variations by geography and sector, our modeling points to three major shifts in behavior. The first is looking for greater agility in their operations companies are adopting more variable operating models, literally in everything from their workforce strategy to the real estate strategy, to their IT strategy to allow them to scale up quickly to the next inevitable, unplanned event or opportunity. And for IT this typically means modernizing their application environment and taking that kind of one to three year cloud transition plan and accelerating it into a few months. The second thing we're seeing is because of the pandemic companies are realizing they need to prioritize employee experience to provide a consistent and secure work experience wherever work needs to get done. Whether that's in the office, whether that's on the road or increasingly whether that's at home and that goes beyond just traditional virtualization applications but it's also for delivering in a secure and unified environment. Your virtual apps alongside your SaaS apps, your web apps, your mobile apps, et cetera. And then finally, as companies rapidly move to the cloud and they adopt SaaS and they moved to these more distributed IT operating models, their attack surface from a security standpoint expands and they need to evolve their security model to one that is much more contextual and understands the behaviors and the access behaviors of individuals so if you're going to apply security policies and you'll keep your company information and application secure no matter where work is getting done. >> That's a great summary and you know there's been lots of conversation about security and increased attack surface but now you had a blog post that you published last month, September 15th, really interesting. And you talked about kind of COVID being this accelerant in work from home and we talk a lot about consumerization of IT and apps but we haven't talked a lot about it in the context of the employee experience. And you outlined some really great specific vocabulary those people need to be able to sit and think and create and explore the way they want so they can become what they can be free from the distractions at the same time you go through the plethora of I don't know how many business apps we all have to interact with every single day from Salesforce to Asana to Slack to Outlook to Google Drive to Box to et cetera, et cetera. And as you point out here the distractions in I think you said, "People are interrupted by a text, a chat or application alert every two minutes." So that there's this real battle between trying to do higher value work and less minutiae versus this increasing number of applications that are screaming for my attention and interrupting me anytime I'm trying to get something done. So how do you guys look at that and say, hey, we've got an opportunity to make some serious improvements so that you can get to that and cut the employee experience so they can deliver the higher value stuff and not just moving paper down the line. >> Yeah, absolutely Jeff, to your point you know a lot of the tools that we've introduced and adopted and the devices we've used in the like over the years certainly provide some advantages in helping us collaborate better, helping us execute business transactions and the like. However, they've also added a lot of complexity, right? As you said, typical employees use more than a dozen apps to get work done often four or more just to complete a single business process like submitting an expense or a purchase order or approving time off. They spend another 20% of their time searching for information they need to do their jobs across all of these different applications and collaboration channels and they are interrupted by alerts and texts and chats every few minutes. And that really keeps them from doing their core jobs and so Citrix is committed to delivering a digital workspace solutions that help companies transform employee experience to drive better business outcomes. And we do that in three ways. Number one is leveraging our heritage around delivering a unified and secure work environment. We bring all of the resources and employee needs together, your virtual apps and desktops, your SaaS apps, your web apps, your mobile apps, your information and your content into one unified experience. We wrapper that in a contextualized security model that doesn't get in the way of employees getting their job done but understands that employees, their behavior, their access protocols and assigns additional security policies, maybe a second level of authentication or maybe turning off certain features if they're behaving a little bit differently. But the key thing I think is that the third component we've also over the past several years infused within this unified workspace, intelligence, machine learning, workflows or micro apps that really remove that noise from your day, providing a personalized work stream to that individual employee and only offering up the individual tasks or the insights that they need to get their job done. Really guiding them through their day and automating some of that noise out of their day so they can really focus on being creative, focus on being innovative and to your point, giving them that space they need to succeed. >> Yeah, it's a great point, Tim and you know one of the hot buzz words that we hear all the time right now is artificial intelligence and machine learning. And people talk about it, it's kind of like big data where that's not really where the opportunity is in kind of general purpose AI as we've talked to people in natural language processing and video processing. It's really about application specific uses of AI to do something and I know you guys commissioned looks like a report called Work 2035. There's a nice summary that I was able to pull off the internet and there's some really positive things in here. It's actually, you know it got some good news in it about work being more flexible and new jobs will be created and productivity will get a major boost but the piece  I wanted to focus on which piggybacks on what you're just talking is the application of AI around a lot of specific tasks whether that's nudges, personal assistance, wearables that tell you to get up and stretch. And as I think and what triggered as you said, as this person is sitting at their desk trying to figure out what to do now, you've got your calendar, you've got your own tasks but then you've got all these notifications. So the opportunity to apply AI to help me figure out what I should be focusing on that is a tremendous opportunity and potential productivity enhancer, not to mention my mental health and positive attitude and engagement. >> Yeah, absolutely Jeff, and this Work 2035 project that we undertook is from a year long effort of research, quantitative research of business executives, IT executives supplemented with qualitative research with futurist work experts and the like to really begin a dialogue together with governments, with enterprises, with other technology companies about how we should be leveraging technology, how we should be changing our operating models and how we should be adapting our business culture to facilitate a new and better way to work. And to your point, some of the key findings are it's not going to be Skynet out there in the future. AI is not going to overtake all of our jobs and the like it is going to actually help us, you're going to see more of the augmented worker that really not only offers up the insights and the tasks like we just talked about when they're needed but actually helps us through decision-making helps us actually assess massive amounts of data to better engage with customers, better service healthcare to patients and the like. To your point, because of this some jobs certainly will be lost but new jobs will be created, right? And some people will need to be the coaches or trainers for these bots and robots. You'll see things like advanced data scientists becoming more in demand, virtual reality managers, privacy and trust managers. And then to your point, work is going to be more flexible we already talked about this but the ability to allow employees to perform at their best and give them all the resources they need to do so wherever work needs to happen, whether that's in the office, in the field or at home but importantly for businesses and even for employees this actually changes the dynamic of what we think about as a workforce. We can now tap into new pools of talent not just in remote locations but entire segments that had because of our traditional work hub model where I build a big office building or a call center and people have to commute there. Now they can work anywhere so you think about recent retirees that have a lot of domain expertise can get back into the workforce, stay at home parents or stay at home caregivers can actually engage and use their skills and expertise to reengage in that workforce. These are really, really exciting things and then the last thing is, it will help us improve employee engagement, improve wellness and improve productivity by having AI help us throughout our day, guiding us to the right decisions and automating tasks that typically added noise to our day so that we can focus on where we as humans are great which is some of the key decision-making, the creativity, the innovation to drive that next wave of growth for our companies. >> Yeah it's really interesting the kind of divergence that you're seeing with people in this opportunity, right? One of the benefits is that there is no script in how to move forward today, right? This has never happened before, especially at the scale so people are trying all kinds of things and you're talking about is a lot of positive uses of technology to an aide or to get blockers out of the way and help people do a better job. Unfortunately, there's this whole other track that we hear about, you know monitoring, are you in front of your desk, monitoring how many Zoom calls are you on a day, monitoring all these silly things that are kind of old school management of activity versus kind of new school managing of output. And we've done a lot of interviews on this topic, one of Darren Murph from GitLab great comments, does it now as a boss, your job should be removing blockers from your people to help them do a better job, right? That's such a different kind of mentality than managing their tasks and managing the minutiae. So really a lot of good stuff and we could go for a very long time and maybe we'll have a followup, but I want to shift gears a little bit here and talk about the other big delta that impacts both of you and I pretty dramatically and that's virtual events or the fact that basically March 15th there was no more gatherings of people, period. And you guys we've covered Citrix Synergy in the past but this year you guys have gone a different kind of tact. And again, I think what's so interesting about it is there is no right answer and everyone is trying to experiment and we're seeing all different ways to get your message to the market. But then the other really important part of events is getting leads, right? And getting engagement with your audience whether that's customers, whether that's partners, whether it's prospects, whether it's press and analysts and everything else. So I wonder if you can share with us kind of the thinking you had the benefit of kind of six months into this thing versus a couple of weeks which a few people had in early May, you know how did you kind of look at the landscape and how did you come to the conclusion that for you guys, it's this three event you've got Citrix Cloud on October 8th, Citrix Workspace Summit on October 22nd and Citrix Security Summit on October 29th. What did you think about before you came to this decision? >> Yeah, it's a great question, Jeff and certainly we put a lot of thought into it and to your point what helped clarify things for us is we always put the customer first. And so, like many other companies we did have our Big User Conference scheduled for the May timeframe, but you know considering the environment at that time and companies were just figuring out how to get their employees home and working securely and safely, how to maintain business continuity. We felt the inappropriate at time to be able to be talking about future innovations and so on and so forth. So we made the decision to kind of put an end to our Citrix Synergy for the year and instead, we went through all this scenario modeling as I mentioned and we've accelerated our focus and our investments and our partnerships to develop new innovations to help our customers achieve the three things that they prioritize which is accelerating that cloud transition, that hybrid multicloud transition plan, advancing their digital workspace and employee experience strategies and embracing a new, more contextual security framework. And so when we thought about how do we bring those announcements to market, how do we help educate our customers around these topics? It became very clear that we needed to design for digital attention spans which means it's not everything in the kitchen sink and we hope that we're bringing a whole bunch of different buying segments together and customer segments together and hope that they glean out the key insights we want. Instead, we wanted to be very focused around the cloud acceleration, the workspace and employee experience strategies and the security strategies is we created three separate summits. And even within the summits we've designed them for digital attention spans, no individual segment is going to be more than 20 minutes long. There'll be very descriptive so you can almost choose your own pathway as you go through the conference rather than having to commit a whole day or the likes you can get the information you need, it's supplemented by knowledge centers so you can go deeper if you want to and talk to some of our experts, if you want to. And it's certainly something we'll use to facilitate ongoing dialogue long after the day of event. >> Really interesting 20 minutes is the longest session. That is really progressive and again I think it's great to hear you say that you started from the perspective of the customer. I think so many people have basically started from the perspective of what did we do for the SaaS convention May five through eight in 2019 and then try to replicate that kind of almost one-to-one in a digital format which isn't really doing justice to either of the formats, I think and not really looking at the opportunity that digital affords that physical doesn't and we just getting together and grabbing a coffee or a drink or whatever in those hallways but there's a whole lot of things that you can do on a digital event that you can't do in a physical event. And we're seeing massive registration and more importantly, massive registration of new people that didn't have the ability couldn't afford it, couldn't get away from the shop whatever the reason is that that the physical events really weren't an option. So I think instead of focusing on the lack of hallway chatter spend your time focusing on the things you can do with this format that you couldn't before. And I think removing the space-time bounds of convention space availability and the limited number of rooms that you can afford, blah, blah, blah, blah, blah, and the budget this really does open up a very different way to get your message to market. >> It does, Jeff and what I'm excited about is what does it mean for the future of events overall? I think there's going to be some very valuable lessons learned for all of us in the industry and I expect just like work won't be the same when we return back to the office, post-pandemic. I don't think the events approach that companies take is going to be quite the same as it was previous and I think that'll be a good thing. There'll be a lot of lessons learned about how people want to engage, how to reach new segments, as you mentioned. And so I think you'll see a blended events strategy from companies across the industry going forward. >> Yeah. And to your point, event was part of your communication strategy, right? It was part of your marketing strategy it is part of your sales strategy so that doesn't necessarily all have to again be bundled into one week in May and can be separated. Well, Tim really, really enjoyed the conversation I have to say your blog posts had some really kind of really positive things in it in terms of the way people should be thinking about their employees not as resources but as people which is one of my pet peeves I'm not a big fan of the human resources word and I really was encouraged by some of the stuff coming out of this 2035 I think you said it's going to be an ongoing project so it'll be great to see what continues to come out because I don't know how much of that was done prior to COVID or kind of augmented after COVID but I would imagine the acceleration on the Delta is going to go up dramatically over the next several months or certainly over the next couple of years. >> Yeah, Jeff, I would say I think Winston Churchill said it best "Never waste a good crisis." And smart companies are doing that right now. I think there's going to be a lot of lessons learned there's going to be a lot of acceleration of the digital transformation and the work model transformations and the business model transformations that companies have had on the radar but haven't really been motivated to do so. And they're really accelerating those now I think that the world of work and the world of IT is going to look a heck of a lot different when we emerge from all of this. >> Yep, yep. I agree well, Tim thank you again for sharing your insight, sharing your information and is great to catch up. >> You too. >> Alright, take care. >> I know. >> He's Tim, I'm Jeff you're watching theCUBE. Thanks for watching we'll see you next time.

>>From the cube studios in Palo Alto, in Boston, connecting with thought leaders all around the world. This is a cute conversation. >>Everyone. Welcome to the cube conversation here from our Palo Alto studios. I'm John furrier, host of the cube. We're here with our remote crew, getting all the interviews, getting all the stories that matter during this time were all sheltering in place during the COVID crisis. We've got a great returning guest, John Madison, EVP of products and chief marketing officer. Fordanet John. Great to see you, uh, looking good with the home studio. They're getting used to it. Yeah, indeed. Good to be here again, John. Thanks for coming. I really appreciate it. We're hearing a lot about sassy, which has a secure access network adjuncts, zero trust network access. Uh, what does that all mean now these days? What does this sassy? Well, there's definitely a lot of hype around the word sassy, which is the security of the age. Uh, for us actually it confirms a strategy that we've had since the beginning of the company. >>And two important concepts. One is, uh, the coming together of, uh, networking and security. We could refer to it as security driven networking, and we've been doing it using ACX and appliances for a long time. Uh, we're now going to expand it to a cloud as well as that's one concept, again, bringing together networking and security or converging them in a way. And then the second concept is more around a platform approach. So if you look at the definition of sassy, it includes, it includes web gateway as a service you a trust Caz B, a wife, et cetera. And so bringing those together in a platform approach, we refer to it as the fabric. So we're actually really happy about those two concepts coming together. Maybe the name itself could be, could be different, but definitely the concepts and the technologies play really well to our strategy. >>Yeah, it's sassy. S a S E not two ways, not like SAS softwares of service. Wait for one noses cloud. Yeah. I tried using the full name and I've reverted back to sassy again. So short and sassy, keep it short and sweet. Um, okay, well this is a super important relevant topic for multiple reasons. One is COVID is kind of accelerated the future for everybody. And you know, we've been kind of riffing on Twitter and throughout the industry I've been calling it the big IOT, uh, experiment because the unforecasted disruption of COVID is forced everyone to work at home. So the notion of work changes workplace is now home workforce, the people, how their interaction with the networks, workloads, workflows, all changing new expectations, new experiences. This is the real deal. And the edge is where the action is. That's the big, new obvious architectural highlight here. >>Yeah, so we talked last time. I think it would just be getting this work from home, uh, element, but, um, we're still here. And I think what it says is that what is forced is that, uh, enterprises and customers need to look at their edges and they're increasing. So we always, the one edge was a new one over the last two years. As we introduced us the, when they had a data center edge, they had an endpoint edge and now you have a home edge. And so you've got to apply security as a cloud edge as well. You've got to apply security to these edges. And the key is the flexibility to apply the security you want and you need against this agent. And so we're seeing some customers right now, look at setting up mini enterprise networks to protect that home age again, in that, in the homes of their executives or developers. >>And we reported with the news. You guys had a couple of months ago around just as such been a feeding frenzy for hackers and bad actors to go after the home environment. Um, as well as the it guys who are working from home, you have the cloud consumption's shifted as well. You're seeing the cloud players doing extremely well because now you have more cloud, you have more vulnerabilities at the edge with the home. This is changing completely increasing the attacks. >>Yeah. The tack factors, you know, predominantly, still actually, you know, a lot of fishing, but then if you're on the network, that attack factor is very important. So for us, and, you know, we did an acquisition last week of opaque networks because that gave us an additional consumption model and different additional form factor. So if somebody going from the home straight into the cloud, or the pairing off a branching off an SD Wang connection straight into the cloud, we can now apply that cloud edge security throughout our sassy capabilities. And so again, the ability to have security at all, these edges has become very important going forward. So for us now we've got appliances, we've got virtual machines, we've got cloud delivery, and this is becoming very important to customers. I'm not saying, and customers are not saying they're going to go to just cloud only going forward. They're going to be hybrid. And so having those options is very important. >>You mentioned opaque networks, we reported that acquisition. Congratulations. What does that mean for Fordanet and where does that technology fit? And you mentioned software. Can you just take a minute to explain the acquisition impact Affordanet and where does the tech fit? >>Well, as I said, we've been driving a lot of this conversion, sassy conversions through our appliances. Um, but it's sometimes makes sense to put that security closer to the cloud during points or wherever. And so opaque, we really liked their model of building out these hyper hearing stations and making sure they got high-speed security there as well as edges. And so, um, we bring, we're going to bring that inside our environment, uh, update it to include some of our technology, uh, but it gives us now great flexibility, uh, of applying that security at the SD wan edge, the data center agent now without edge or longer-term roadmaps will integrate orchestration capabilities. It also includes a zero trust network access capability as well. So really when we looked at our, uh, of sassy framework, uh, we had most of the things in place. This now adds firewall as a service as well as zero trust network access, giving us the most complete sassy framework in the marketplace. >>What is the security component of the work at home? You mentioned earlier, there's more networks and companies are looking to kind of up level the capabilities. Can you give an example and take us through what that like and what companies are thinking about, because it's not just, here's some extra money for your home bandwidth, your people are working there. It's like, it's gotta be industrial strength edge. Now it's not just, um, you know, temporary and their kids are home too. So you got they're gaming, they're watching Netflix, people zooming in and doing WebExes all day long. >>Yeah, it can be as simple as putting a zero trust network access, you know, an agent on there and doing some security locally, and then going back through a proxy in a, we believe actually that it's, it can be even better than that. That can apply many enterprise security in your house through a next gen firewall, give high availability through SD wan, uh, then, you know, expand out their secure access and switching and end points. And we can do that today. I think what's going to be key going forward is as you're dealing as it, uh, teams have to deal with more of a consumer approach remotely in the homes, we're gonna have to simplify the way things get set up, such that you can easily separate out, maybe home usage from corporate enterprise users. So that will be something we'll be working on over the next 18 months. >>I mean, just the provisioning, the hardware, okay, here you go. Plug it in it. Should it be plug and play? And this is kind of back to the future of where SAS is going. I mean, the old days was plug and play was the technology. Now you've hit that concept. It has to be auto configured. You have to provision pretty quickly. What's the future of sassy in your mind. >>Yeah. And so, you know, if you think about, you know, coming back to the home usage, then people have dumbed down those routers and the security is very simplistic. So we, people can just plug and play. If you, it needs to be a bit more sophisticated. Uh, you're going to need to put some tools in place. We believe longterm that the sassy model, once you've got the platforms in place, once you've got SD wan in place, your Cosby or your sassy zero trust and longterm, you're going to need an orchestration system. That's more AI driven. So we've done a lot of work on AI around security and making sure we can see things very quickly. Um, but the longterm goal, I think will be around AI ops, AI network ops, uh, where the system and the big data systems are looking across your network, across these different components to see where there may be an issue. Maybe there's a certain length has gone down across a certain ISP. We need to bring that back up. Maybe there's a certain cure or as to an application in the cloud somewhere. So we need to change the OnRamp. Uh, so once everything's in place and you have that console and policy engine that can look across everything, and then we need to get smarter by looking at the data and the logs, et cetera, and applying some of that AI technology. >>You know, John, we've been following Fordanet as you know, for many, many years and watching the evolution of you guys as a company. And also as the industry, the new waves are coming in. Um, a lot of the stuff you're doing with the fabric and now the secure driven networking has been kind of on the playbook. So I want to get your thoughts before we get into those topics and define them and kind of unpack them. But generally customers are looking at, um, a slew of vendors out there and you have 10 of two approaches. You have a platform, and then you have the we're an application or fully full stack or SAS or something. And this there's trade offs between the two. And how should customers understand the difference? Because there's different value propositions for each platforms, more enabling out of the box, SAS or point solution can solve a particular thing, but it may not have that breadth. How should customers think about a platform approach or fabric and how should they think about the value and how to engage with that longterm? >>Yeah, I'm definitely seeing more customers look towards a platform going forward. They just can't manage all the different point solutions and you don't have to train an individual in that product. You have to have a separate management console, you have to integrate it. And so more and more I'm finding customers wanting to converge, which is the basis of sassy consolidate applications onto a platform of security applications. What's important over that platform is that the consumption model is flexible enough to be an appliance, to be a virtual machine and to be cloud delivery does as a customer's networks move and their orchestration systems move into different, more cloud, or they've got their IP enabling their factories, for example, then they need that security to be flexible. So yes, you need to be a platform as the way forward. Um, but two things. One is you need a flexible consumption model for it. You know, clients, virtual machine and cloud. And also that platform needs to be very open. It needs to have connectors into the main orchestration systems that needs to allow people to build API and automation. So, uh, yes, you, you need a platform, but it needs to be open and it needs to be flexible. >>Great, great insight there. And that's exactly what the marketing, especially with cloud the kind of scale, second follow up question to that is how do you tell the difference between a tool camouflage is a platform. So I have a tool I want to sell you a tool, but no, it's a platform. So a lot of people are peddling tools and saying their platforms. How do you know the difference? >>Well, to me, a platform that has much greater scope across the attack surface festival, they attack factors whether that be email or application the network, the end point. So platforms not just of a specific attack back to go across the complete surface. And then also a platform is Wednesday organically built, allows those products to communicate. So then you can build automation across it. It's very hard to build automation across two or three different vendors. They have different scripts. So been able to build that automation. And then of course, on top of that, to have a single view, single visibility capability, as well as longterm applied that AI ops across it. So platform is very, very different from the, some of the tools I've seen in the marketplace. >>I want to get to your reaction to a comment that your CEO said about security driven, networking, and underscores what we've been saying for years, blah, blah, blah. He goes on in this era of hyperconnectivity and expanding networks with the network edge stretching across the entire digital infrastructure, um, networking and security have to be kind of be their, their convergence. You mentioned describe how you view hyper-connectivity and expanding networks and how the edge stretches across the digital infrastructure. What's what does that look like? Can you share your vision of that? >>Well, when you think about networking, if you go back 20 years, when you have these 10 megabit per second connections, learning, networking, and routing and switching, they haven't really changed that much over the last eight years, 20 years, they've just got a lot faster, gone to now to 400. You give us a second, but the basic functionality is the same. And so it's allowed them to go a lot faster. Um, security is very different, even though it started off with firewalling than VPN, and then next gen firewall, SSL inspection, all these functionalities IPS have been added, making a lot harder for it to keep up in the network. And so one of the fundamental principles of security and networking is bringing these two things together, but accelerating them either using a six and now cloud through our acquisition, uh, to allow those to run in a converged format. >>And that's very important because as I said, there's now more, you can look at it two ways. You can say the perimeter has expanded because it used to be a very narrow perimeter. The data center across these areas, or at the edges have formed as well. There's new edges sitting at the OT environment, sitting at the wan edge, sitting at the home mattress. I talked about seeing the cloud edge. And so the ability to apply that security in very high performance, very high quality security, not just a small sampling of security, a full enterprise stack, but those edges is going to be critical going forward. And the flexibility to apply in different ways is going to be very important. >>I think the convergence piece is totally relevant and honestly it consolidating into a platform is very key point there. Um, while I got you here, I would just like you I'd like you to define what is security driven networking and what does it mean to be security driven? So define security, driven, networking, and give an example of what it means. >>Yeah. And so I think it's, I think the one edge was one of the best examples of it. I mean, actually go before that next gen Fila was where you bought firewalling and then content inspection to go there. But I think the latest one is definitely the one edge or secure SD land where you had a networking function, which was to get the users to the right applications. And so they got this application now steering that goes out through there. Well, you also want to apply security to that because security into the wham, you've also got to protect the land. And so the ability to run a security stack there, whether it be IDs, right, patient control is very important. So getting all those networking functions, working at high speed, getting all the security functions, working at high speed, uh, is that it's the kind of the Genesis of security driven networking, and you can apply it there. We can also apply it in other places at the age, in the cloud. Now the home, uh, it's a very, very important concept, uh, to be able to run networking and security together. But high speed, >>Everyone has their own kind of weird definition of sassy, depending on when you're building your own or different analyst firms. Uh, I noticed you guys have a different take on this. Even Gartner has a different view on this. How do you guys diff differ from that, that definition and what should people be aware of when they hear that? What is the right definition? >>Yeah. You know, it's unfortunate. I mean, I think Ghana does some good work there and that they define it and I've come up with sassy, but this is like acronym soup. And, you know, I want a bit of next gen firewall on my sassy. It's just, it's just so many different terms. It confuses the customer. Then what makes it more confusing is that vendors look at their portfolio and go, Oh, sassy is a hot topic. I've got a sassy as well. And really, it should be very clear what the definition from Gardner is. It is bringing together security and networking. Now their definition is that they, uh, you should do that in the cloud, which we agree with as well, but it can only be in the cloud. The reason it's in the cloud is because not many people have got the ability to run on an appliance very fast. >>So we believe our different stairs that you should be able to run it on an appliance virtual machine in cloud. And then the second kind of differences that they've defined the components of Sassies being Estee, wagon, Cosby, firewalls, a service zero trust. We also think that the land age is very important. So we would add into that definition, that secure access of wifi and Ethan at switching as well. And so we try and point out, you know, the gun definition and we also point out where we differ and I think that's fair to the customer can make a good decision. >>I think it is fair. And I think one of the things I've been saying for years, and I love garden, I love the guys over there and gals. I just don't think that their business model is real time as much, but they ended up kind of getting it right down the road. But you brought up a good point. And again, I've been saying this for years, cloud changes Gartner's model because there's, if you have quadrants, it implies silos and implies categories. And one of the best things about cloud is it does horizontally scale. So some of the best vendors actually have multiple capabilities that might fall on different quadrants that may or may not be judged on a criteria that meets what cloud's doing. So, yeah, for instance, Asics, you mentioned right. That's in there too. You get cloud and ACX is that where they've got two different categories? You add the edge in there. If you do all three, really great as an integrated, converged and consolidated platform, you're technically awesome, but you might not fit in the quadrant. >>Yes. That's a really good point. I have this conversation with them all the time in that traditionally enterprises have a networking teams and security teams, and they've been in silos or I've had a networking team that just does switching or just this routing, just this SD wan. And I have a security team that does web gateway, and then they like to separate them all into different components. When you look inside those Nike quadrants, they're all different, even at the same vendor, the different products. And what we like to do is bring it all together. You a single operating system, a single appliance or cloud virtual machine. Sometimes it's not quite, it doesn't quite fit the model, but in the end, you're trying to do the same thing. Know, and COVID-19 >>One of the real realities that everyone's dealing with is it does expose everything and an expose. And again, it's been a disruption unforecasted, but it's not like an outage or a flood or a hurricane. If it happened and it's happening, it really puts the pressure on looking at the network. It's looking at how you can have continuous operations. How are you working with your people and workloads, workforces apps. You got to have it all there. And if you're not digitally enabled, you're going to be on the wrong side of history. This is what companies are facing every day. And they've got to come back and double down on the right project. So every CXO I talk about, that's the number one challenge I need to come out of the pandemic with a growth strategy and an architecture. That's going to allow me to take advantage of the new realities. Hey, it's really good for people to work at home. That's cool. Some people are going to continue to do that. Maybe that's normal. Maybe that's a new tactic >>And it's going to vary by industry as well. So if I'm a retail outlet, I absolutely need it 100% of the time, but those retail outlets cause people are ordering online and then they're driving up. And so it has changed the dynamics. It's for me working at home, I have to be on all the time. And so the ability to do really good, high quality networking, high availability, high IQ of as, with this integrated security across the different edges is super critical. >>I was talking with a network friend of mine. Again, we were having a few zoom cocktails and do a little social networking online. And we were like, and we've, and we've mentioned it before in the queue, but we keep coming back to the land is the new land. And meaning that it's in the old days, land was everything, everything, the local area network, and you were inside the data center, everything was great on premises. When is the new land? So if you think about it that way you go, okay, when edge I got a, now Atlanta at home, you got to SD wan and your house, of course you worked for Fournette. So it's a little bit beneficial for you, your, your, your, your geek there, but this is the new normal where it's all one network. It's not just a land link, it's a system. Can you react to that? What's your take on that? When is the new land kind of ref, >>First of all, it can't be too picky. He goes on the CMO as well. So there's no talk about the geekiness. Um, but, um, it's just, it just makes as a skip saying, it's, it's, it's making sure that wherever you may be, uh, you know, you're doing less traveling these days, but that may come back at some point or where they are at a branch office or a campus environment or wherever applications, and then moving around in different clouds, in different areas, in terms of consumption of workloads, um, wherever that's happening, you gotta be able to be flexible and applying that security to the different edges, land edge, one edge home edge data center edge. And so the ability to do that, uh, while providing high speed and connectivity, uh, is very important. And then again, as you go forward and you implement that platform approach. So not just the point product now, three or four products working together, uh, being able to apply that policy orchestration and AI ops is going to make sure that they get that user in the end. It's all about the user experience. Do I have a high quality of experience, whatever application I'm using? That's the key measurement in the end? >>You know, one observation I would have, if you look back at the whole virtualization trend, going back to the early days of VMware, that kind of enabled Amazon and kind of having a large scale kind of infrastructure, hyperconvergence really kind of collapsed everything together. And now you seeing things with Amazon, like outposts, you seeing, you know, these non premises devices, which is basically one cloud operations kind of highlights what you're saying here. And I want to get your thoughts on this because the combination of Asics with cloud, it's not a bug, it's a feature for you guys. That's a value proposition and it's kind of consistent with some of the big players like AWS. When you look at what they're doing and apprenticeships, for instance, what they're putting in the servers, having that combination of horsepower Asex with cloud is a guiding principle of the future architecture. Can you share your thoughts was also, you guys are, are announcing that and have that feature. >>Yeah, well, w another reason why I like the opaque acquisition as they were their major appearing pubs into the different cloud service providers that were using hardware and that hardware, uh, we, we can run hardware and with our Asics almost 50, a hundred times faster than equipment CPU. So I've got a firewall application I've gone on appliance. There, I may need a hundred virtual machines and, and CPU they're running the same thing. So again, we're coming back to our definition of security driven, networking in our minds. It can be basic, it can be virtual machine and it can be cloud. Now, imagine if we can take the best benefits of basic and combine that with cloud, uh, that's a great model going forward again, given that flexibility. So when people think cloud something has to run on something, it doesn't run in fresh air. So, you know, the big cloud vendors are putting in some Asex to accelerate some of the AI stuff, and we're going to use the same thing in some of our major, what we call 40 sassy. You know, our naming methodology is 40, whatever it does or going forward to provide us that performance and high availability now. Yeah. So you're always going to need some flexibility of virtual machines in certain areas, but we think the combination of both, it gives us a great advantage. Yeah. >>And there's definitely evidence that, I mean, there's a, there's kind of two schools of thought on hardware. Are you a box mover, you know, commodity general purpose, or are you using the hardware and a system architecture, acceleration has been a huge advantage, whether I've seen companies doing accelerated Kubernetes processing, you know, for clusters and some, you know, see GPS are out there. It's, it's, it's how you use the hardware. Yeah. That's the, really the key it's and again, back to the architecture. So, okay. So wrapping up, if you, if you believe that, and you look at the fabric that you guys are having out there, and as it evolves, what's the, what's the next level for 400. How do you see this going forward? You've got security driven networking, and you got the fabric. What's next? What are you guys working on the product side? >>I know you're public, you can't reveal any future earnings, but give us a taste of kind of the direction on the roadmap. I think, you know, we've got now all the, all the kind of component that underlying components of the platform in terms of the ability to apply appliances, deliver it by appliances or virtual machine or cloud. Um, we've got a very broad portfolio from endpoint, uh, all the way into, to the cloud and the networks, all those things that are in place. Obviously you always need some features here and there as you go forward and nest it when and next gen firewall, et cetera. Um, but I think the longterm, I think a goal for his nine is to, again, to apply a bit more intelligence, uh, both from a security perspective and from a network perspective, such that we can predict things, we can automatically change things. >>We can build automation and react to things much more quickly. So I think the building blocks are in place. Now. I think it's the ability to provide a bit more smarts across it, uh, which of course takes big data and very specific application programming. And I think, uh, definitely our customers are asking us about that. And we look very closely with our customers to build out that, to make sure it meets their needs going forward while it's great to see the platform continue to grow and, and fill in a holistic view of the, of the landscape from edge to throughout the enterprise. So a great strategy and thanks for the update, John Madison, the VP of product and CMR for that. John. Great to have you on. Thanks for coming on extra. Okay. This is the cube conversation here in Palo Alto studios. I'm Chad for a year hosting the cube. Thanks for watching.